{"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":45779,"title":"Variance computation (★★★)","description":"Given a vector x with several values, compute the variance, whose formula is given by:\r\n\r\n\u003c\u003chttps://i.imgur.com/Wg95KBE.gif\u003e\u003e\r\n\r\n\u003c\u003e\r\n\r\nwhere x1, x2, ...., xn are the n elements of the vector x, and μ is the average of the vector x.\r\n\r\nFor example, if\r\n\r\n  x = [-1, 3, 5, -4, 10, 12]\r\n\r\nThen μ=4.16667 the variance is 38.16667. The following commands are forbidden: *std, var, mean*.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 198.433px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 99.2167px; transform-origin: 407px 99.2167px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 267.3px 10.5px; transform-origin: 267.3px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector x with several values, compute the variance, whose formula is given by:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 46px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 23px; text-align: center; transform-origin: 384px 23px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline\" src=\"data:image/gif;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 283.683px 10.5px; transform-origin: 283.683px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ewhere x1, x2, ...., xn are the n elements of the vector x, and μ is the average of the vector x.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 45.9083px 10.5px; transform-origin: 45.9083px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, if\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 109.633px 8.5px; transform-origin: 109.633px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ex = [-1, 3, 5, -4, 10, 12]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 11px; text-align: left; transform-origin: 384px 11px; 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: 256.342px 10.5px; transform-origin: 256.342px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThen μ=4.16667 the variance is 38.16667. The following commands are forbidden:\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.95px 10.5px; transform-origin: 1.95px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 80.7917px 10.5px; transform-origin: 80.7917px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003estd, var, mean, for, while\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.95px 10.5px; transform-origin: 1.95px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [-1, 3, 5, -4, 10, 12];\r\ny_correct = 38.16666666666667;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = 1:10;\r\ny_correct = 9.166666666666666;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = primes(30);\r\ny_correct = 81.43333333333334;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nfiletext = fileread('your_fcn_name.m');\r\nassert(isempty(strfind(filetext, 'std')),'std forbidden')\r\nassert(isempty(strfind(filetext, 'var')),'var forbidden')\r\nassert(isempty(strfind(filetext, 'mean')),'mean forbidden')\r\nassert(isempty(strfind(filetext, 'for')),'for forbidden')\r\nassert(isempty(strfind(filetext, 'while')),'while forbidden')","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":428668,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":36,"test_suite_updated_at":"2020-10-17T02:01:03.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-06-06T00:46:09.000Z","updated_at":"2026-02-12T19:15:04.000Z","published_at":"2020-06-06T00:49:36.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector x with several values, compute the variance, whose formula 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=\\\"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\u003ewhere x1, x2, ...., xn are the n elements of the vector x, and μ is the average of the vector x.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[x = [-1, 3, 5, -4, 10, 12]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThen μ=4.16667 the variance is 38.16667. The following commands are forbidden:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estd, var, mean, for, while\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\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.gif\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.gif\",\"contentType\":\"image/gif\",\"content\":\"data:image/gif;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":45788,"title":"Median computation (★)","description":"Given a vector of values, compute the median. The median is defined as the middle value in a set of *sorted* data. Thus, if \r\n\r\n  x = [ 3 1 5 2 4 ]\r\n\r\nthen the sorted data will be \r\n\r\n  [ 1 2 3 4 5 ]\r\n\r\nand the middle value or median is *3*. If x has an even number of elements, such as\r\n\r\n  x = [ 3 6 1 5 2 4 ]\r\n\r\nThen there are 2 middle values in the sorted data \r\nand the median is average of the 2. Thus, sorted data is \r\n\r\n  [ 1 2 3 4 5 6]\r\n\r\nand the median is *3.5*.","description_html":"\u003cp\u003eGiven a vector of values, compute the median. The median is defined as the middle value in a set of \u003cb\u003esorted\u003c/b\u003e data. Thus, if\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ex = [ 3 1 5 2 4 ]\r\n\u003c/pre\u003e\u003cp\u003ethen the sorted data will be\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e[ 1 2 3 4 5 ]\r\n\u003c/pre\u003e\u003cp\u003eand the middle value or median is \u003cb\u003e3\u003c/b\u003e. If x has an even number of elements, such as\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ex = [ 3 6 1 5 2 4 ]\r\n\u003c/pre\u003e\u003cp\u003eThen there are 2 middle values in the sorted data \r\nand the median is average of the 2. Thus, sorted data is\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e[ 1 2 3 4 5 6]\r\n\u003c/pre\u003e\u003cp\u003eand the median is \u003cb\u003e3.5\u003c/b\u003e.\u003c/p\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [1 2 3 4 5];\r\ny_correct = 3;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = [4 4 5 6 1 2];\r\ny_correct = 4;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = [5 5 6 1 2 4];\r\ny_correct = 4.5;\r\nassert(isequal(your_fcn_name(x),y_correct))","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":428668,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":89,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-06-07T18:39:49.000Z","updated_at":"2026-02-17T09:10:05.000Z","published_at":"2020-06-07T18:39:47.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector of values, compute the median. The median is defined as the middle value in a set 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\u003esorted\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e data. Thus, if\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[x = [ 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\u003ethen the sorted data will be\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[[ 1 2 3 4 5 ]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eand the middle value or median 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\u003e3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. If x has an even number of elements, such 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[x = [ 3 6 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\u003eThen there are 2 middle values in the sorted data and the median is average of the 2. Thus, sorted data is\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[[ 1 2 3 4 5 6]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eand the median 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\u003e3.5\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":42688,"title":"Determine the full width at half max","description":"Determine the full width at half max of a curve.\r\n\r\nThe  full width at half maximum (FWHM) is a parameter which is used for describing the width of a peak. \u003chttps://en.wikipedia.org/wiki/Full_width_at_half_maximum\u003e \r\n\r\nIt is defined as the distance between the two points at which the curve reaches half of its maximum value.\r\nFor example if y = [0 3 6 3 0], the full width at half of y is 2.\r\n\r\n\r\nThe data in the test-set have only one positive peak. The test suite checks if the solution is correct within an error of 10%. Note that the input array may not necessarily contain an element equal to half of the maximum.\r\n","description_html":"\u003cp\u003eDetermine the full width at half max of a curve.\u003c/p\u003e\u003cp\u003eThe  full width at half maximum (FWHM) is a parameter which is used for describing the width of a peak. \u003ca href = \"https://en.wikipedia.org/wiki/Full_width_at_half_maximum\"\u003ehttps://en.wikipedia.org/wiki/Full_width_at_half_maximum\u003c/a\u003e\u003c/p\u003e\u003cp\u003eIt is defined as the distance between the two points at which the curve reaches half of its maximum value.\r\nFor example if y = [0 3 6 3 0], the full width at half of y is 2.\u003c/p\u003e\u003cp\u003eThe data in the test-set have only one positive peak. The test suite checks if the solution is correct within an error of 10%. Note that the input array may not necessarily contain an element equal to half of the maximum.\u003c/p\u003e","function_template":"function F = fwhm(y)\r\nF = numel(y);\r\nend\r\n","test_suite":"%% 1\r\ny = [0 1 2 3 4 3 2 1 0];\r\nF = 4;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 2\r\ny = [0, 1:10, 9:-1:1, 0];\r\nF = 10;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 3\r\ny = [0 1 1 1 1 0]';\r\nF = 4;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 4\r\ny = [zeros(1,3),ones(1,10),zeros(1,5)];\r\nF = 10;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 5\r\nfor i = 1:200\r\n  maxX = randi(10) + 10;\r\n  F = rand*4+1;\r\n  x = -maxX:maxX;\r\n  y = exp(-4*log(2)*x.^2/F^2);\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\nend\r\n\r\n%%\r\nuser_solution = fileread('fwhm.m');\r\nassert(isempty(strfind(user_solution,'regexp')));\r\nassert(isempty(strfind(user_solution,'num2str')));\r\nassert(isempty(strfind(user_solution,'fprintf')));\r\nassert(isempty(strfind(user_solution,'assert')));\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":2,"created_by":55263,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":18,"test_suite_updated_at":"2015-11-22T07:43:27.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2015-11-21T09:09:43.000Z","updated_at":"2026-01-30T17:12:54.000Z","published_at":"2015-11-21T09:20:02.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003eDetermine the full width at half max of a curve.\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 full width at half maximum (FWHM) is a parameter which is used for describing the width of a peak.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://en.wikipedia.org/wiki/Full_width_at_half_maximum\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026lt;https://en.wikipedia.org/wiki/Full_width_at_half_maximum\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIt is defined as the distance between the two points at which the curve reaches half of its maximum value. For example if y = [0 3 6 3 0], the full width at half of y is 2.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe data in the test-set have only one positive peak. The test suite checks if the solution is correct within an error of 10%. Note that the input array may not necessarily contain an element equal to half of the maximum.\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":56528,"title":"Cricket - Most Frequent Bowler-Batter Wicket Combinations","description":"Given a table representing all wickets taken in a particular set of matches, return a table of the bowler-batter pairs that occur most commonly.\r\nThe input table will have three variables: Batter, Bowler, and Dismissal, representing the batter dismissed, the bowler of the delivery when the wicket fell, and the type of dismissal, respectively. The dismissal will be one of the set:  \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"run out\", \"stumped\". Note that run outs are included in the list of wickets. However, because they are not credited to the bowler, your function should not count these.\r\nThe output table should have three variables: Batter, Bowler, and NumberOfDismissals. Each row of the table should represent a unique combination of bowler and batter, all with the same value of NumberOfDismissals (which should be the maximum of all pairs in the data set).\r\nFor example,\r\n\r\nbt = [\"Ben\";\"Matt\";\"Renee\";\"Renee\";\"Ben\";\"Ned\";\"Ben\";\"Renee\"];\r\nbw = [\"Ned\";\"Renee\";\"Ned\";\"Ben\";\"Ned\";\"Matt\";\"Renee\";\"Ned\"];\r\nw = [\"hit wicket\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"stumped\";\"run out\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"])\r\nwickets =\r\n  8×3 table\r\n    Batter     Bowler      Dismissal  \r\n    _______    _______    ____________\r\n    \"Ben\"      \"Ned\"      \"hit wicket\"\r\n    \"Matt\"     \"Renee\"    \"lbw\"       \r\n    \"Renee\"    \"Ned\"      \"bowled\"    \r\n    \"Renee\"    \"Ben\"      \"caught\"    \r\n    \"Ben\"      \"Ned\"      \"lbw\"       \r\n    \"Ned\"      \"Matt\"     \"stumped\"   \r\n    \"Ben\"      \"Renee\"    \"run out\"   \r\n    \"Renee\"    \"Ned\"      \"caught\"    \r\n    \r\npairs = whosyourbunny(wickets)\r\npairs =\r\n  2×3 table\r\n    Batter     Bowler    NumberOfDismissals\r\n    _______    ______    __________________\r\n    \"Ben\"      \"Ned\"             2         \r\n    \"Renee\"    \"Ned\"             2         ","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1172.4px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 586.2px; transform-origin: 407px 586.2px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 373.5px 8px; transform-origin: 373.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a table representing all wickets taken in a particular set of matches, return a table of the bowler-batter pairs that occur most commonly.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 84.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42.25px; text-align: left; transform-origin: 384px 42.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 129px 8px; transform-origin: 129px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe input table will have three 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBatter\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 148px 8px; transform-origin: 148px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, representing the batter dismissed, the bowler of the delivery when the wicket fell, and the type of dismissal, respectively. The dismissal will be one of the set:  \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"run out\", \"stumped\". Note that run outs are included in the list of wickets. However, because they are not credited to the bowler, your function should \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 11.5px 8px; transform-origin: 11.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003enot\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e count these.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 64px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-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 32px; text-align: left; transform-origin: 384px 32px; 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: 145.5px 8px; transform-origin: 145.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe output table should have three 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBatter\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 72px 8px; transform-origin: 72px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 72px 8.5px; transform-origin: 72px 8.5px; \"\u003eNumberOfDismissals\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 95.5px 8px; transform-origin: 95.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Each row of the table should represent a unique combination of bowler and batter, all with the same 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: 72px 8px; transform-origin: 72px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 72px 8.5px; transform-origin: 72px 8.5px; \"\u003eNumberOfDismissals\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 57px 8px; transform-origin: 57px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (which should be the maximum of all pairs in the data set).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example,\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 424.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 212.25px; text-align: left; transform-origin: 384px 212.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 901px;height: 419px\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAADhIAAAaNCAYAAACLWDT9AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAMsAAADLAAShkWtsAAP+lSURBVHhe7P198D/dXdd5sjOzuzOlu7PMVs1WrbVVjnNT88dM1YAjoJRogEBYGYzCCCpyY1gQhQDeBREWHdAZWJBRBAIiK2rwDhE0N7BIrkBEcwMYIpFownAzglwhgaDJ5CImfPc61+/b/vr3+b27zzn9Of3pm/N4Vj1Lcn27T58+ffrd/enul7/3uQMAAAAAAAAAAAAAAAAAAAAAAAAAAKdFkBAAAAAAAAAAAAAAAAAAAAAAAAAAgBMjSAgAAAAAAAAAAAAAAAAAAAAAAAAAwIkRJAQAAAAAAAAAAAAAAAAAAAAAAAAA4MQIEgIAAAAAAAAAAAAAAAAAAAAAAAAAcGIECQEAAAAAAAAAAAAAAAAAAAAAAAAAODGChAAAAAAAAAAAAAAAAAAAAAAAAAAAnBhBQgAAAAAAAAAAAAAAAAAAAAAAAAAATowgIQAAAAAAAAAAAAAAAAAAAAAAAAAAJ0aQEAAAAAAAAAAAAAAAAAAAAAAAAACAEyNICAAAAAAAAAAAAAAAAAAAAAAAAADAiREkBAAAAAAAAAAAAAAAAAAAAAAAAADgxAgSAgAAAAAAAAAAAAAAAAAAAAAAAABwYgQJAQAAAAAAAAAAAAAAAAAAAAAAAAA4MYKEAAAAAAAAAAAAAAAAAAAAAAAAAACcGEFCAAAAAAAAAAAAAAAAAAAAAAAAAABOjCAhAAAAAAAAAAAAAAAAAAAAAAAAAAAnRpAQAAAAAAAAAAAAAAAAAAAAAAAAAIATI0gIAAAAAAAAAAAAAAAAAAAAAAAAAMCJESQEAAAAAAAAAAAAAAAAAAAAAAAAAODECBICAAAAAAAAAAAAAAAAAAAAAAAAAHBiBAkBAAAAAAAAAAAAAAAAAAAAAAAAADgxgoQAAAAAAAAAAAAAAAAAAAAAAAAAAJwYQUIAAAAAAAAAAAAAAAAAAAAAAAAAAE6MICEAAAAAAAAAAAAAAAAAAAAAAAAAACdGkBAAAAAAAAAAAAAAAAAAAAAAAAAAgBMjSAgAAAAAAAAAAAAAAAAAAAAAAAAAwIkRJAQAAAAAAAAAAAAAAAAAAAAAAAAA4MQIEgIAAAAAAAAAAAAAAAAAAAAAAAAAcGIECQEAAAAAAAAAAAAAAAAAAAAAAAAAODGChAAAAAAAAAAAAAAAAAAAAAAAAAAAnBhBQgAAAAAAAAAAAAAAAAAAAAAAAAAATowgIQAAAAAAAAAAAAAAAAAAAAAAAAAAJ0aQEAAAAAAAAAAAAAAAAAAAAAAAAACAEyNICAAAAAAAAAAAAAAAAAAAAAAAAADAiREkBAAAAAAAAAAAAAAAAAAAAAAAAADgxAgSAgAAAAAAAAAAAAAAAAAAAAAAAABwYgQJAQAAAAAAAAAAAAAAAAAAAAAAAAA4MYKEAAAAAAAAAAAAAAAAAAAAAAAAAACcGEFCAAAAAAAAAAAAAAAAAAAAAAAAAABOjCAhAAAAAAAAAAAAAAAAAAAAAAAAAAAnRpAQAAAAAAAAAAAAAAAAAAAAAAAAAIATI0gIAAAAAAAAAAAAAAAAAAAAAAAAAMCJESQEAAAAAAAAAAAAAAAAAAAAAAAAAODECBICAAAAAAAAAAAAAAAAAAAAAAAAAHBiBAkBAAAAAAAAAAAAAAAAAAAAAAAAADgxgoQAAAAAAAAAAAAAAAAAAAAAAAAAAJwYQUIAAAAAAAAAAAAAAAAAAAAAAAAAAE6MICEAAAAAAAAAAAAAAAAAAAAAAAAAACdGkBAAAAAAAAAAAAAAAAAAAAAAAAAAgBMjSAgAAAAAAAAAAAAAAAAAAAAAAAAAwIkRJAQAAAAAAAAAAAAAAAAAAAAAAAAA4MQIEmb4mpf80N2v+O1f8Yi/7nP/Ekmygb/m936dGkuSK/mrPunPP1Jf3/d3fFW4HEmS5Fr+n//7P/PI/chv+5Jvu3/iBgAAgBo+9xu++5H7qmR0/0WSZ/U//l1/9pEa+B//rj8XLkeSZ3VcA5P/6ae9MFyOJM/of/PZ3/RYHXy/p/9btCxJntH/9Hm+syXZt5fPBv/rP/AX79+eYCmChBme+6Xfdvc+v+V/JEmSJEmSJHmF/8nzvvb+iRsAAABq+IDP+0vh/RVJkiRJkiRJkmRP/oqP/cr7tydYiiBhBkFCkiRJkiRJ8noFCQEAAJYhSEiSJEmSJEmSJClI2AJBwgzP/ZK/HU4+kiRJkiRJkuUKEgIAACxDkJAkSZIkSZIkSVKQsAWChBk+++u/+7GJ96v/X994959/5l8iSV7p/+UT/txjNTZajiRZ76/8uK96pL7+ex/z5eFyJEmSa/nvfPSXPXI/8t9+zl+6f+IGAACAGj7mf/hbj9xXJf+z3/f/De/BSPKM/vu/7SseqYHpf0fLkeQZTfd94xqYfN/f+dXhsiR5Rv/vn/L1j9XBX/X0f4uWJckz+r6/8/HvbD0bJNmTl88G/2+/+6vv355gKYKEGb7q21/7yKRL/oXX/Pzdi/+XO5LklX7M/+fxsPa3v+m94bIkyTo/6Ase/Ze1/6+/+8+Hy5EkSa7lr/i4P/PI/cgnfsXfvX/iBgAAgBr+yDe9/JH7quTffuO7w3swkjyj6YOhcQ38L37/N4fLkeQZ/dYfffcjNTD5sV/1RLgsSZ7RL/57b36sDv6JF785XJYkz+jHfpVngyT79vLZ4Ad83jffvz3BUgQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEg+8Mv/5ivv3ud93qfYtHzUDjlWkJAkb+P7f8hHhtfryLRs1AZ5VgUJAQAA2iBISLJ3BQlJ9qwgIcneFSTkEfTtF9dUkJBk7woStkeQMIMgIUmupyAh+UAPk7iGgoQkeRsFCclpBQkBAADaIEhIsncFCUn2rCAhyd4VJOQR9O0X11SQkGTvChK2R5AwgyAhSa6nICH5QA+TuIaChCR5GwUJyWkFCQEAANogSEiydwUJSfasICHJ3hUk5BH07RfXVJCQZO8KErZHkDCDICFJrqcgIflAD5O4hoKEJHkbBQnJaQUJAQAA2iBISLJ3BQlJ9qwgIcneFSTkEfTtF9dUkJBk7woStkeQMIMgIUmupyAh+UAPk7iGgoQkeRsFCclpBQkBAADaIEhIsncFCUn2rCAhyd4VJOQR9O0X11SQkGTvChK2R5AwgyAhSa6nICH5QA+TuIaChNv7qS/4smdCQ8n0fyedv+fR8eVgmgPR9ToyLRu1QZ5VQUIAAIA2CBKS7F1BQpI9K0hIsncFCXkEffvFNRUkJNm7goTtESTMIEhIkuspSEg+0MMkrqEg4Xamc3QuWJQCZ9F6PIaOLy8VJCSnFSQEAABogyAhyd4VJCTZs0cOEqZ3JtGz8rFbvfsuebbvvTy5D/ceJCypdd4Rnt90zYiO/ZSuMaxRkJBk7woStkeQMMPeg4QlP0JKTT9WUntJN6kkb+Heg4RRrVxiqq/jGhtti33rYRLXcO9BwmhuL3Wos3uotaXnc+prtD73rePLyHS8o3kQaW6wNwUJAQAA2iBISLJ39x4kjJ4DLTE9O0p6p0hy7JGDhCXPz7eqd1FfLvVentyHZwgSJreuKTXvNJPuR+ss/ZZg0DWGNe49SBjN8Wsc/y52rpBMChK2R5AwQ09BwkgXYZJr2kuQMHL4sRNtl/3pYRLXsKcg4Zy3rrdRH6Z0Lh/P6DhO6fj2Y81Lt7Rs1AZ5VgUJAQAA2iBISLJ3ewkSRnqnSPLsQcLkrd+plH5vp/6S+/AsQcLklu+Qa95pJtXAOtOxjcZxSt8TsMbegoRTqktkvwoStkeQMEPvQcKxblxJtrbnIOFYH5TTwySuoSDh465db2sfvCejdrhPHV9OWTM33PexNwUJAQAA2iBISLJ3ew4SjvVsiezTIwcJo1oWeeuPwqM+RPpYndyHZwoSJqM2bmHt+241sE7ffnFNBQkfVX0i+1OQsD2ChBkECR/Vg2mSLRUkfFQPCPrVwySuoSDhtOmedo3zKNpWTufzcYyOX07Htw9rXrr5Tc3eFCQEAABogyAhyd4VJHxUzx3JvjxqkDDVqqiGTRm1sYY139p5pk/uw7MFCbeqLTXvNJOCOnXWXvfc07NGQcJY5xHZj4KE7REkzCBI+LgekpBspSDh4/px06ceJnENBQnztryvrT2PBz18P4aOL+eseenm9zR7U5AQAACgDYKEJHtXkPBxvSsi+/GoQcLab9puVddqgzRRGyRv69mChMkt3iPX1j/vuuus/abA/TxrFCSc1jcYZB8KErZHkDCDIGGsCy/JFgoSxnpQ0J8eJnENBQnLbXFO1Z7Hgx6+H0PHl3PWvHTzW5q9KUgIAADQBkFCkr0rSBjrfRHZh70ECW/1TiXa9pxRGyRv6xmDhMlb38sJEq5r7TcF7uVZoyDhvL7DIM+vIGF7BAkzCBJO64cCyWsVJJw26g/Pq4dJXENBwjpb3NtG7eZ0T30co+OX0/HtQ0FCclpBQgAAgDYIEpLsXUHCaaP+kDyXRw0S1gZWklE7LV3ynZ138+T2njVImIzaW0tBwnX17RfXVJAwr28xyHMrSNgeQcIMgoTzupkleY2ChNP6YdOXHiZxDQUJ67229kZt5oza4T6Njl/OqB2ez5qXbu7x2JuChAAAAG0QJCTZu4KE03reRJ7fnoKEa78H32OfSOY9c5DwlvdytTVQkLBO335xTQUJy3RekedVkLA9goQZBAnn7fHHQtrn9KOq1KiNKaP1p3TDwzMoSDhv1CeeUw+TuIaChMtM91lRf0usPZev2RZvr+PLKdOxjuZApHnB3hQkBAAAaIMgIcneFSScN+oTyfN41CBhVK9yrv0MPdpmzh6/jUvHodSabxei9af0TQTHnjlImLxVnUnnVrT9KXusf9dY+z2BOscaBQnLdW6R51SQsD2ChBnOGCQc/+iO/l5r1K8zWzvmURtTRutP6Ycaz+AZg4Qta6zzvB89TOIaChIuN9XwqM8lltb/a7bB7XR8GVk6L5LmBntTkBAAAKANgoQke/eMQcL0nGgw+nuN3imS57anIGFyrXfhS76xS/ZYY6NxmLJmfKL1p3Rt49izBwmTt/gOqPa+03lYp2+/uKaChOWqXeQ5FSRsjyBhhrMFCac+Wkw3pUsfUPd2Q1s75lEbU0brT+lmh2fwbEHCqXpYWzcGp2o2z6eHSVzDswUJUy0dm2rkYLT8taZtRP0uMa0btTmovh9bx5eX1tQh84O9KUgIAADQBkFCkr17tiChd4okazxikHBpPUte845uzppn+WN7rLHROExZc7yi9adcax7wmPYQJEyu/S1QbR10Htbp2y+u6dmChNH8T/8t2aKmXrZN8vgKErZHkDBDL0HCwdqb2WRvPxhqxzxqY8po/Sn9UOMZ7CVIOLjkwXTUDs9n7fU3N9fI5NmChCXzPt0fLX0JGHnNuZbWvbxvTH1zD3cOHV+Orak7admoDfKsChICAAC0QZCQZO/2EiQcXPKcO2qH5DnsLUiYjNq81mg7pUbtndloDKaseTcWrT+ld24c20uQcO33iLX3mM7DOtM9fjSOU17zPQr7s4cg4aW159RY5xd5PgUJ2yNImKG3IGFyycU3aues1o551MaU0fpT+qHGM9hbkDDpoQwja6+9fuyyxB6DhGNT/VzyscXYtR/UkzyHNbVGXWFvChICAAC0QZCQZO/2FiRMeqdIcvCIQcJr39G1fh9e+63XpVGbZzYagylrrj/R+lO6rnFsL0HC5Jpz3/3luvr2i2vaY5AwWXteDapf5PkUJGyPIGGGHoOEyWjdOaM2zmrtmEdtTBmtP6UbHZ7BHoOEtTXEud6HHiZxDXsPEg7W1t1LhX5I5qx56aamsDcFCQEAANogSEiyd3sMEnqnSHKwxyBh65p2bX96ez8fjcGUNccqWn9K1zWO7SlImFyr5tTWQudhnem4ReM4ZW/XFl5nr0HCZO25NRi1RfK4ChK2R5AwQ69Bwtp2ozbO6ppjE60/pR9qPIM9BgmT0bpTOtf70MMkrqEg4aNe84LQOUdyzpr6UvqbnDyLgoQAAABtECQk2bs9BgmT0bpTeqdIntcjBgmjOlVr1O4Sa9/FR/b2rjAagylrrj/R+lO6rnFsb0HC5Bp1R5BwXWuvN71dW3idPQcJk0vqrHOMPJeChO0RJMzQa5DQTe20tWMetTFltP6UfqjxDPYaJPSxOS913eUaChI+bu2D8UG1mOSc7u3IaQUJAQAA2iBISLJ3ew0Seu5EMtlrkLDVO/GaWjplb99oRWMwZc3YROtP6bs4ju0xSLjGvV1tPXQe1unbL65p70HC2vMr6Rwjz6UgYXsECTP0GiRMRutP2dMFt3bMozamjNaf0g81nsFeg4Q1dcRLvz6s/bHrhy5LFCSMXfqy0HlHcsqauuLejr0pSAgAANAGQUKSvdtrkNA7RZLJowUJa7+rmrJVXYvarrW3b7SiMZiyZmyi9afsbcw5b49BwmTr+7uad5pJ52Gdvv3imvYeJExG7czpHCPPpSBhewQJMwgSltnTBbd2zKM2pozWn9IPNZ5BQcK8Xvr1YZo70fGf0g9dlihIOG3tA/KkekxyypqaopawNwUJAQAA2iBISLJ3BQnzeu5Entdeg4TJa98PtuxL1P5ZjfZ/yprv16L1p6xpl+e31yBhcsvvJJyHdaZjFY3jlC2PLc+vIGH9NtQw8lwKErZHkDCDIGGZPd3U1o551MaU0fpTusnhGRQkzOulXx96mMQ1FCSctvacG4zaIsmal27u7dibgoQAAABtECQk2buChHk9dyLP69GChDXPzHNe+21Uy75E7Z/VaP+nrDlG0fpT+i6OY3sOEiZbfStRWxOdh3XWfofS8hsYnl9BQjWM7F1BwvYIEmYQJCwzWv+s1o551MaU0fpTusnhGRQkzOtc70MPk7iGgoTz1t7TJdVkkpE1D6xrfpOTZ1CQEAAAoA2ChCR7V5Awr+fX5HntOUiYjLZRatTeUnt6Rx/t/5Q1159o/Sld1zi29yBhq/eLtfXZeVinb7+4poKEahjZu4KE7REkzCBIWGa0/lmtHfOojSmj9ad0k8MzKEiY17nehx4mcQ0FCfNG25mz1QN6kuey5oG1OsLeFCQEAABogyAhyd4VJMzrnSJ5Xo8WJIxq1DUufUdYU0NL7OkdfbT/U9Zcf6L1p3Rd49jeg4TJFu8Ya95pJp2HdabrRDSOU/Z0XeH1ChKqYWTvChK2R5AwQ69Bwpp21/wQMt0spL5ENwDpvyVvfbGvHfOojSmj9adcY7+HsY7Ge3AY8z3+kJnqf/rve+1z7/YaJIzWnfIW83Zca6fO//G5f9RzKfU/2rc97E/qQ9S3KVv2OXfsk+PjH7WxpalPwz5EfU5G6/WgIGHeuXk/ZdTOVk7N/8H034dzIVr/1s6dr9f2c24shrb3Mg41DvsU7dd439Y4Pwb3OM9yx/vW/Yn6MWVaNmqDPKuChAAAAG0QJCTZu70GCaN1p9zyGWFyi+dype7teSJZa+9BwqXnZ3TOX+NadWKoT1M1Kv19zRofedmPOWvGJVp/yrXGm8f0bEHC4dyO/jbntbWgti62PA+PcD957T1jWv9yvTlvXdt5bAUJb7ONKcf1IaoRyaFGJPd4fs/1f+j7rfs9HtfLPg0OfU7LRW3cwrmxGxz6uMdjfxYFCdsjSJih1yDhXLG7tHVxHi4M0bbmjPYttRUtO2VUwJf0ZWtrjklatuZ4X5rWv/bCV7P96DiXrh+ty23tMUhYW5eiNlp47bmfXHL+1+5/8toaMxi1PRgtX2saj6jtOYd9qx2Xa8dkD7X/2n2uWf/avh5VQcK8S87btE7UVvLaeV1qWm/pOTzX/ymv3a/acU77Vjo2rY/hnNeOQ41L9itZM3Y5Uzu3nGc5U3+WjEvah6itaNkpc2NaM05Rf8gzK0gIAADQBkFCkr3bY5Cw9hlW1MY1Ln0eN5ieg137nPDa53hLnyeWHB/ylh4pSHhN3Zgz2lbOqJ1rvLamjU1t1bxbGIzqU4t3FNGye7blseAxPGOQMK3Xqg6UWru9a8+11NfasRmb+rv2+b60j6lvl8ci/e9o2SmvOZbsT0HC+m1EbdS6pE6PbVHDavqQlh2vm8Z5yT6sWXtTn/Z+bUimbVxz/NP66nxbBQnbI0iYodcgYbTulC0Lcu3+RI73MRXhaJkpo6Ldok+3tuSYpGWuuchdmtpaetGr6cc1x3e8Lvdhj0HC2poStXGNrc/9ZGqz5vyP2pizpKblzI370vo1tnZcr6lnS/vb+vintpb25Zp9rt2HpX08uoKEZUbbmnOuJl0zr0vN1bNSxzUo59L9ql3v0pZjfWnN/g8uHYca0zqt6vSS7Q9uMc/mbNGfcV9aH8uaY9ZqTMijKEgIAADQBkFCkr3bY5Cw9plY1MYSU99aPR8cnHvWO+fS53i160V6jsc9KUhY/85jjX60qAtpP2reKUw5Ho8W7yiiZffs0usKj+tZg4TJ6O85x9uusbb+XHMP17oOr3Het+jj+FjW3oPWXtvYt70HCZecr1E7pdbWy5zX1LCavoxrUot9aFmnjnRtaHn8U1vqfRsFCdsjSJihxyBhbQGM2qg1Fck1Cm8y+vuUUbFufeG6hbmLY8uxvnTJhbmmP2nZtE7tsU0u6RvXtbcgYe28bTln07bXPPeTpf1dcv7mxjZnbt9bjHXU7pzjbdaOyZLx2FvtX7rPS/bjctu9KEhYZu2cSstH7STXPpfXOI9Lzt8l+1W7zpTReKc+R8su8bLtOdc+vq3GbGwav9p+bDXPIlPfW/ZnGI/asc6NYU0f07JRG+RZFSQEAABogyAhyd7tLUhY+/xq6fO3S2u3W+PwbC7a7pS1/UnLt9wHz/K4F48UJKx9Xh799ymj7U1Z0nZaZs0+XNry/VZyqP21Y37Zr2S07J5tdd3jcTxzkHDJvcvUuZyztuYtOdda3otdmvqf2o+2W2Nqo3Ys5hz6VbvvLfaF/dh7kLD2nE3LR+3krD2Pa1xaw2r2fdjv2vGas0Wt2uO4RrYct0vdv16vIGF7BAkz9BYkrC2CLQrbmheI2vGJLia1bezBqeOS9m/NC91gbp5dWtOntOzSOdNivrKtPQUJl8zbqJ0lLj1nllh6/kfrznnt+Ru1eWm0Xqm114rLcao9RnNz7dK0bE2dXWrpsR9css9L9yPafg8KEpa55F4vaie5ZF5H7USueR7n+lG7X0vGdM5xfVmz7ZxrHt/atmus2cct59mla45J7TzK9b1m3GqOB3kGBQkBAADaIEhIsnd7ChIueS4WtVNr62evU9Y8J6wdizX2wfM87sEzBwlrztua+hGtf2nadm3diLZVYs241JjarR3zqH/Rsns2HbdoP3hezxwkTC65/6upiYO1taj2XKsdh6Uu2ffBJWNdau3+X7Mf7M+eg4RLaktt/UrW1sil1p77tfd6a+zHNfXqKNeGWxz/tI1o+yxTkLA9goQZzhYkTKaCN5jWTy4tgFGfakx9iNrdytSfyz7e6iLW0tTny/249VjXXPBucQFORseX23q2IGGay2meDQ41Nlo2Z3QeL3GLGjaMQ9SfwSX9itopsXRb19SI2jp2eXzTtqPlpizta22711pT+2/Vt5o+nU1BwjJb1qMjnsuX9SjyVufrnKmfa/WjZAySax3fZO11pMZoe5Fbz7Oxe5hzY3PHsub49XxdYp8KEgIAALRBkJBk754tSJieEaVnToPp+VkyWjZn7bO3yDWfT0bmnrcNpuWi9W9tizEmr/FIQcLoHJoynVs153npuVha09KytbW3tH6NvXWNnXPqHUW07J5Vl/vz7EHC5JJaUVuTardRc67dutYtqcd7ubccXLIP7Ndeg4RLz9uorTn3XMNu3bcpo77ldG143DQmUT+YV5CwPYKEGc4YJGzlkoI79tbFt8Ron7Yc46VGP+Ki5da29IJ3q5uFaNvc1rMFCVvZ6mZx6/oV9WlstM6cS687UVtTRuuXGLU15+X6tdfE0rGI1l3b0vl7q/uAmgebZ1OQsMwlc3GqL7Vtle5TtG4L93a+bmm035eudXzXvF6X9iEZrd/C2vuaPc633DjW/J5pdZ9HHkVBQgAAgDYIEpLs3bMFCVvZ4lnTVu8TS55d7ulZYdQ/8laeOUhYu87l9iKj9S4d6mdtnSmpXWNr3h/cwqnrRrTsnu35G4Be7SFImIyWzRm1M2VtTSo91/Z8Pzk2amNLa/vPvu0xSLj0Pmqqxk659xq2dBxaW3v/5dowbe0c5QMFCdsjSJhBkDC29oIQuZeL29joArLVGF/j5fHZcqzXvOGrNdo2t1WQMDbqS63p3IvavqW5G97a+rrk2lO7jdofEskW+1F7vPZUWyNL+nerObpk3pxFQcJyo+3NOdWX2nm99blSOqZr9mEvltSKNY5vcq16nbsOj93DPBvc8vo1ZW4favpcc1zIMyhICAAA0AZBQpK9K0gYG/WlxjWfC+YseU62Zf8u7fl9E7f3KEHC2nN2ePZe874997y+tK3hnK7tc00t2FMNG5yqvdGye1ZN7s9egoRL6kbNu8e0bNTGlCXn2pa1bs19v4W5axo59uxBwvS/U81JXnu+jtvNeYQatqf6FfUv0rUhr2tAvYKE7REkzCBI+LglPxBybnmRmDMqzFuM8bWOj9HS/qcLZFo3jcng0rbG4xl5i4txzc0Bb6cg4eNG/ah1TzV2XI8uXdLPqJ05a+vLXH+nrN1G1EbtWKTlo3YGj1D7a/d5qbmxOrOChOVG25tzqlbUzuuSfVpSx1K7g+l/R22UbHswLXu5/tlMYxTt+9jacSgZ49o2S+t0yf6M3cM8S6blL9vYg7n9qBm/2mNDHl1BQgAAgDYIEpLsXUHCx436UWvUbomlzwdzpvWifg3u6Xmh53rc0qMECdM5HZ0/Uw7r1ZzrubpRWovG60R/nzK3/bFL6uLaTtWyaNk9W3MceA57CRIml9z/lJ4TtXWppN1ovRJT28O9ZDL97yV1s6SPS8b0FqZ+Rf0lI88WJFzLufoauaTuJNN6UR2Llp2zpIYt7eMaltataN0SozFd69qw5HglWx37ZNQvTitI2B5BwgyChNOWFNopo/b2YCrol33dcoyXOj420d9z5o5tGqdovSlz7d3iRidtI9o2t1WQMDbN16gelXqLc6rGuX2prbG14xK1kTNqZ86ojSmnalFtXc2NQ7ROzlvX/tr2llo7Z86kIGG50fbmnJrftfO6ZJ+i9aaca29cb3Pn56W1+3Vp2l5qI5n+75bXqeGaOW4/Wq7EaN/Hpvaj9aZMy0ftjK3p79Q1JJm2NR7XaJk5x9vJObdf4/1J/3e0zJzj7ezJ3LGsmdNzx5E8o4KEAAAAbRAkJNm7goSxw/PRqE85lzxLLdlezbOyZNTGYNpWtE6paR8v+5v+W20fB8ftkLf0KEHCa87/6O9Tjte7NFr+0tTP2nUGL9edckmNvYVT/Y+W3bNL3kHx2PYUJEzW1tNkyT1hbbu5c21JrUt9uOX9ZDJaZw+WHDNyUJAwb662Xrq0hkVtDabzunUNq21vbFr3spanPi7Z92TuupA887Uht/9pH6L1piwZTz5UkLA9goQZBAnz1t7QXtvntH4ybXe4oCWvuVgORvuS/ltqezBab87xujmj9aeM1h9M47F0rEuPZ1ouWn/KqI3B1OdonVLH+zx2mB9pmejv3F5BwnnT3I76NeeS837scD6l82fw2jaTUV+TtbWk5lxe2u/Up6i9yNptTLVdOw5zfVyy36X7XNvPqI3B2rYi075GfU//fbi2XP6tJwUJy422N2eaY1E7tfM6t0817ZVcM1J7S64ttfs1OLetpW2OnRu/oQbUONdesrbPufaSNf0saS/Nzan5OWXNfq05z1K/o22WOux72n5y+N9L5sKlubGv2caSsSGPrCAhAABAGwQJSfauIOG8S545Re3MWbONmudl6Rle1Eay5tnl2LT9ls/0Buf6Sq7pGYOElzUlnV/RcpFT53dpG5fncm09GK87ZbReqak/qY/JtK/J4X9Hy9d4Oe6D6b+Pjdad8nLdOaP1p4zWH7w8hjy/vQUJk9F6OaN2xqbtRutNmTvXonXmLNnvwZq+zvXz2tqZ1k9e1uPasYycup6RkYKEeWvPqaiNObeoYcml9SbXbhqvaL2cUVtjo3Xm3GJc09+ideYsnV+14xq1wVhBwvYIEmYQJCyzppBH65eY9jVXiK8dj5JCX7uNqI0po/WnTP2I2hhbewNR0ubYmgveXNtLb3SSpX0uvYjztgoSllkzf5eeTyV1vOacv3RuH6Ll54zaiIzWLTVqL7JmvOfGuHZs58azdg5sVfuvmU9pH+fGYLBkmTMrSFhutL05p+Z27bzO7VPaTrReZO25XGPtfg1GbY2t2b9Lc2O3pM+5MWx9fJPRelNG67dwL/Ms2l6JqU+5sb5mriVz7be6HyDPqCAhAABAGwQJSfauIGGZJc8kk7XPOpNRO3PWPDOL1k8u6WeydBzWfqdGtvIoQcLovJny8ll57fk+Xnew9Jy+XK/2HcLl+pcufSeR+p+rM2mcamvX2MtxnzJad8qa2hitP6Way7E9BgmX3Afl2q2tH3Pn4ZL+Re3MWdPfaP1ktGyJadu5e8ra435prn1yrCDhvLXn0xp1+9KonSmj9Qdra3eytL+ta/lRrg21Y1p7X1ozDrVt96wgYXsECTMIEpZbcuFZcpFI1l7kl1w4kyXbqR3zqI0po/WnzF08ase69Mbh0qitKaP1k2seL+5bQcJyS+Z77Xk/WHsuLTln52pMbb9L+nvt9XGN8Z6r263GoLadLWt/bV8Hl/a5RwUJy422N+fU+dzqXB6sqWVrnhtLztfcvepgtG6JUVuX1l6vcn1ufXyT0XpTlrS3xD3MsyVzLFk7JrVzYjC3nZp21zxXyT0qSAgAANAGQUKSvStIWG7JM7Pa52RLnk3WPHeceja75Llh6bPpZE0fk57tcSvPGCSMztWaczKqS9Fyl0bncW0taPnOYLC2viypj8nS7UTrTllTd6P1p6xpl+e3xyBhsvW9UG19atlWrnZG1oxr1NeltbK2r7VjMbhkTNivgoTTLjmXWtbDKWtq0Nw+LKkxUTtTRuvP2bKvS47dra8NaZ8u2ygxamvKaH0+riBhewQJMwgS1pkr6kv6u+RCkYzaylmyrdp9iNqYMlp/yugCN7a2n7n2pqy5qE6N75IbnaUXZ+5LQcJyS+b8knNpaY1tva1o+SlL6tWS/o1tvY3c8auppcmpsTxS7a/d58Gp9vi4goRlLpmLreZ1bp9qz+k9jVHUTuSSel1au1rXxNbHNxmtN2XuWrLUPcyz2j4kl/Yjaitnblst7wnIsylICAAA0AZBQpK9K0hYbsnzp2i9OaM2Six9bjbV59pnssna54ZRG1N6tsetPEKQsPZ8jd7J1LRxuX7pe4Zou7XvKHJ1JlpnzqW1pbbfydJtRetOGY3plNH6U9a0y/Pba5AwmZaN2phzqk7VtjV3HkbLzxm1UWJpn6MxXVIna+8lB1seJzJSkPBxo/O+1Ki9KW+xnbl6W1tfavtbWyvnale0/JxRGyWWjkk0FrX7O3ds5kzjFLUX6XpQpiBhewQJMwgS1tvyInHNBbimCA+WFOPaMY/amDJaf8rcxan25iFqo9Sovcip8a3tazJqh8dTkLDOXE2M1pnz1jV2rm61rq3ROrVG7Y6N1pkyV7Nrx7NVPY3aKDVqL3Kqr63nEB9XkLDMJXOx1bzO7VNtbUxeU9unrN2vmj4s2cfcuI2N1p8y1+/WxzcZrZezZv9L3MM8i7Yx5zXbrz2OydyYp/5E60W2Hjty7woSAgAAtEGQkGTvChLWOfcMqvb52DXvZkqfPU71d8mzvKidOWue7SWjNsi1PUKQsPZdw9Rz92jZKcfrlZ7L43UGW9bFJe9ccu8g5qytYXPXh7HRulPWXCei9aesaZfnt+cgYbL2XE+2aGfqPDzK/WS03JzX9HPJfes19Z/9KUj40Noaemltzb5FDUtG6ydb1e4pW9X0o1wbasfzcv0ao/YiXQ/KFCRsjyBhhrMFCecuoKkQJWvbvLTVRSIZtVNjbcEvKca14xO1MWW0/pRT4zwYrTPl3LwoMWozcqrPtcfp2v5yP54tSDhXQ4b6WjvfL43aTm5RY2vrYe7cjdaZcm6sa/s1ZcttRG2MrT1+U32Llp1y69q/ZM7OHRM+riBhmS3nYm1buX1a0rfBdI7n2i+1th9T533kkn2M2pkyWn/KXF2s7WvJ+F9zX1AzznMuOQaDLebZ2nMgsnbcc/tY015unpFnU5AQAACgDYKEJHv3bEHCuedN6W/p2d81zw6TUdvJ2ndc1zz/q9lWtH7ts8Mlz0xrxzlqg1zbIwQJW51LNXVjXJ+iv1869Xy+Za2pHYcldWtsbd+nxuDSaN0pa/YhWn/Ka8eG57L3IGHtuZ6MttGqRtXu77he11qzrfF6S8ZsvP4Sa8f3mnFhfwoStvstVlvDpmphiTW1aKom1NaWqI05a+vlka8NyWiZKWuv15dGbUZeM8d6UpCwPYKEGXoKEl6ainTtBWgwKvC1fW1VGKO2pyy5MNXuR9TGlNH6U86NT+2F/VZOzb/aedZqbnB7ewoSXlpbSwanzqPa9lqdR1Hbc0ZtDNbsw1z/o+WXGrWfrKlbJWNdW7ejuXa02r+kv1E7nFaQsMza+pmM2km2OJcvjdarMZ2D19b82v2q3V7UxpRTNWXKmnqda3uN47tk/l2a2ijZ1pxRuzVeM89qx2Dpdi6N2p4yN74t5xl5NgUJAQAA2iBISLJ3ewoSXrr0GeLUc6iaZ1m3NBqT9N+iZadc8uywdnyjNsi17SlIWHPeD+d86Xk8VyOi5aece84fLT9n1EatNXWs9B1FtO6Uc+N6abT+lDXt8vz2HiRM1t4XJS/Po9paPXUe1rZzK8f3k7XHpFXNidqeMrr/JacUJGx3zhyhhl3T36iNnFE7Ux752pD+72iZrU1jNx5LxgoStkeQMEPPQcLBJcU9ulDUtrPFRb9km7VjHrUxZbT+lHM/Xmr7eEuj/m41N7i9PQcJk0tvTKO2as+jqI0l1tabuTGqHY+ojdb1b6q/0bJTRutfWrvvUb+OVvtr9znN8agdTitIWGZt/UxG7SRbnMuXLunflEvPozX2a2zUxpRz98CRNeOXG581xqG2zZy1Yz+45Tyr3fbSfby0Zru5bda0VTs+5NEVJAQAAGiDICHJ3u05SJhc+hwxaitabg9Gz35r93vJs8Pa92tRG+TaHiFIGJ0vU+aek0frTJmWL31Gf7mdsdHyc0Zt1NasVu8LarZbus1o3Slr3t1F609Z+06Q51aQ8IGl9W7s+P6odv2p8zBadg+O+1t7TJbcR0bWjHGrbbIPzxYkrL1vGmxx3kTt7sGpmltTV5ZeX6K2puzp2nBLx2PJWEHC9ggSZhAkfGDtj4jktW1crr/UmjEqucmoHfOojSmj9accX9wuPdrFbqu5we3tPUiYXPKjKDr/a86jpdeCyNr+58bo2ppdOg6ly0VjXdPH0rFuMY5Hq/21+xwdC84rSFhmtK055+Zii3M5Mlr3GmuvA2vt12DUxpS1taC03idz47LWOKxRv2uPQTJq5xpL51nNMUpGbSyxZtxz49lynpFnU5AQAACgDYKEJHu39yBhsvb5ZDJ6nhottwejvtbu85JxrX0+G7VBrm1vQcI13pvkttniXUVtzYrq3lKj9iNL31FE605Zsx/R+lO2HB8eX0HCh9bWq+Rwj1S77tR5GC27B8f9bVHXl1gzF5bcu7JfzxgkrL13Sl5TPwejdvfgVM2tqWdLxydqa8ojXxtqavStHY8lYwUJ2yNImEGQ8IFLLtiXN7rRMlNOXWiWWNP3yz5H1o551MaU0fpTzo1R7Q+hWxqNcW1/L9fncRUkfGDtORDV8mi5KZdeCyJramwyV99r27tcP1omMvWjtJ5fbqPmeF2uO2Xtfreopbc06m/rucPHFSTMWzsPk3P9qG2vdJ9K61WNqWaUbn+t/RqM2piythbU1Mbc9XHNcYjWv9basdpqnkXrTdnyWlBzPHP70HKekWdTkBAAAKANgoQke1eQ8IE1z6GSl8+iap6J3drouVltf5eMa+1z0agNcm33HiSsPVdzz/rXqFXRdsbW1oKo3mxZT0qvD6XvKKJ1p6x5dxOtP2VNuzy/goQPXVIjh+2V1orB6Dxco0a3cjyu0d+nbFlvasYnupaQU54xSLhkveS1507U5h6cqkU1tXvp9SVqa8ojXxtqr4O31DUhryBhewQJMwgSPjRqb87LohYtM2XLm/NktI3IkkJcO+ZRG1NG6085N0ZHu9jV9PeaOcz9KUj4wBa1PFpuyq1qbLJk2zU1YTzmNeOYlk/rRn+79PK4RstE1tSr0r4MRnOtZtxubdTfFvvMeQUJ89bW3+RcP9ac12ud4yV9WHO/klEbU9Zew2rGLVe31xyH2rZLrbkWJbeYZ9HyU251D5M7li3nGXk2BQkBAADaIEhIsncFCR9Y+0z78lnUWs8hWxg9N6vt75JxrR3TqA1ybfceJKw9j0qe9UfrLbXkuXztPkT1Zst6Urrt0ncU0bpTlhzPwWj9KWva5fkVJHzUJfd0qY9pu9HfpozOw6PcT0Z/n7J1vYm2Ebnk3pX9etYg4dKasvT8OUoNG1tTu5deX6K2pjzytaFmLG/t0jndk4KE7REkzCBI+NDabV1eLKJlptzzzXntOERtTBmtP+XcGB3tYlfT32vmMPenIOFDo/bmvGb9rWpssmTbNT8sxu1Ff49css6wfFo3+ntkzXyo2efktbX01kb9bbHPnFeQcN7aOTgYtTW49ryuqUE1Rtsau/Z+RW1MWXIdGdvyPnPtcUjLr1HLa8fs1vMsWnbK2n3JGW0jMncsW84z8mwKEgIAALRBkJBk7woSPjRqb87xurXPOG9p9Nystr9LxrX2eWjUBrm2ew8S1r7bKDlXW76rKHm3ULu9qM0t60nptkvfUUTrTlkyvoPR+lPWtMvzK0j4uLXbXGJ0Hh7lfjL6+5St6020jcgl967s17MGCZO195LJpXX0KDVsbM34LB2XqK0pj3xtqBnLW+uakFeQsD2ChBkECR9au63Li0W0zJQtb85rLlAlhbh2HKI2pozWn3JujI52savp7zVzmPtTkPChUXtzXrN+yxqbjLYxZem2o3WnTMvX1ObxdkrXG45tab2qrVU116rktbX01kb9bbHPnFeQcN6aujGYq2G3mtetz/dczVp7v6I2piy9jgzWjNXW4zBYu50Sl/TlVvMsWnbK2uM/Z80458av5Twjz6YgIQAAQBsECUn2riDhQ6P25hyvu8azx1ZGz81q+7tkXGvfFURtkGt7tiBh1MalLetV1P6ltduL3ldsWU9Kj0HpO4po3Slr3t1E60/Z8p0Qj68gYWxt/a01Og+Pcj8Z/X3KlvWmZnyW3LuyX88cJFxaV5acQ0u3dQunrg01tX7p9SVqa8ojXxtqxvLWLpnPvSlI2B5BwgyChA+9dls1Bfiafl5ac4EqKcS14xC1MWW0/pRzP2BqL3Zp+bTvt/Da/racG9xeQcKHRu3NebmtaJkp5+rHEqNtTFm67Zpam8aitI5c1pC0brTcpUO/o79F1o5xaT8Go7lWU0uTafnUzi287Gsy/feoX1NOtcNpBQmnrZ1/g1FbY289r2vP+znn+rL2fkVtTFlbX2vG6PIacemtj2/t9ubM7duca8+zlseoxprxzR3LrfaBPIKChAAAAG0QJCTZu4KED43am3O8rZpnYoNpnVs53s8l/Y3ayFnzTjIZtUGu7d6DhNG5MmfURmS0bq2lz+Rr603U7i1q1pSl7ylKxyNad8qad3fR+lPWvhPkuRUkjK2tO7VG5+GSbaZ1buXQz6gfU7Y6HsnUh2gbkeP+kjnPHCRM1tbRwdrzqOYcHUzr3MKov8nS+7zk0noWtTXlka8NNWOZTMtH7a3heDwZK0jYHkHCDIKED712WzUF+Jp+XlrT75JiXDsOURtTRutPGV2MB2v7ONfWLdxqbnB7BQkfGrU35+W2as6j5Hjda6ytNzVjFK0fWbPvUb2Lloss3c6SOpXGJWprymgcj1b7W+wz5xUknLa2ZiZLzpmt5nXq25J9GjtXu9ber6iNKWtrV8245Or3Vsc3tVNb4yOv7c9a86zlMaqxZkxzY7fVPpBHUJAQAACgDYKEJHtXkPChUXtzXm4rWmbO8bq3NvU96tOUS8a19tlr1Aa5tmcKEtY8I2/xbiS1EbUdGa0/5+X6t6hZU0btR5aOf7TulGuNcU27PL+ChNPW1p4ap87DaNk5ozbWdqv3tzVzoeV1gOf37EHCJW0kl5y/UTtzRm3c0lvUs6itKY98bai9Xk/tK7dRkLA9goQZBAkfWnMxSl5uq3b98brXGLU9ZcnNee2YR21MGa0/5dwF6mgXu5q5cc0c5v4UJHzgkoc6l9uqPe+X9vXSNWt77T6VGG1nyfjPuaSm1vYhOn5Hq/0t9pnzChLG1tatwZLtbz2vU3tL92/uHmvt/YramLK2dtWMx9wYJLc+vslrro2t+pPaaTnPatu6XH+pUdtT5sau5Twjz6YgIQAAQBsECUn2riDhA9N6UXtzXm4rWmbO8bq3tnZ/l4xr7TPXqA1ybfccJKw9T2uekS+peZdG7U4ZrT/n5fq1/W31vr6mjpWOf7TulDX7Ea0/Zavx4TkUJJy3dvulTp2H0bJzRm2sbc3722TUxhKjtqdccu/Kfu0hSLj03q/2XIramDNq45bW1LOl15eorSmPfG2ovV5O7Su3UZCwPYKEGQQJH1p7c325rS0KcO2NRckNRe1+RG1MGa0/5dz41O73NfOihTVza+u+sq2ChA+sPWeTl9vaosYmo7bnjNqYcsm4zDlXP6Lllxq1n7N2X6O5VtvG1vW0xT5zXkHCx6255xhber7sZV6ndpfsa9RWcu39itqYsvb6VTMOueO8l+ObrL3uJ1td+wdbzbMt7mFaH8uW84w8m4KEAAAAbRAkJNm7goQPrH2ulbzcVu0zvaV9bWHt/i7pa+3zyagNcm33HCRc+xl/1Eaptc/jW9THaLk5L9df4hrvKKJ1p6w5ptH6U7Z4H8TzKEiYt7aGlTh1Hraol2tbe0xa1Jxb3LuyX3sIEiaX1rKa8ylaf86tz9WaMVl6fYnamvLI14a0zagvUy4dT66jIGF7BAkzCBI+NGpvzsuLRW0BTo7XX+IaF6baMY/amDJaf8q5Hy9bjPU11hwnF+ZzKUj4wNq6krxsY4vz/hbXoCVjM+Xc8Wm1nbnaPGft8Yv2ZYs5cI0t9pnzChI+au194djSbe9tXkfbnHOqP2vvV9TGlLV1tuV95t6O7y2uwyVG25rzclxqxzU5Xn+JtfUgdyxbzjPybAoSAgAAtEGQkGTvChI+cMn7rMs2ap+NLX331cLaZ4dLxrV2TKM2yLXtOUi4pO4Nrr2tqObcusbW1snSdxTRulPW7EO0/pTXjg3PpSBh3tp6UOLUeXiE+8kl4xG1U2PtPFhy78p+7SVIuLSW1dTV2nN1ixo2tqbmLr2+RG1N6drArRQkbI8gYQZBwgfWFvhkVOSj5eZc2t/kkoJfcnNeO+ZRG1NG60+Zu4hG68xZsu9TpnWvWb9mfl0zJ7g/BQmX//iJ2oqWm/PWNXbJzf/S8bk0t6+tthO1XWLt9tPyUTvRsnNOtVNiWvfa9aM+TXnNtnpVkPCBtXPt0pratbd5XXvfOtWftfcramPK2mtJy/vMvR3fZLTdKde6j24xz6Ll5rz1PUzuWLacZ+TZFCQEAABogyAhyd4VJFz+rPuyndrnedc+i1uyr4O1+7xkW7XjEbVBru2eg4Q1z8eTtedpbR0YG7U3Z209iN5Z1baRvKZO1o5/aU2P1p0yGocpo/WnrGmX51eQsMxrambk1Hl4y/1N+7S0TkZ9mfPafkZtznlN/Wd/9hIkTNbWmMHSc6r2fL3mniRtazD6e4k193tL61jU1pS9XRuuOXbXHns+qiBhewQJMwgSLrvJTUZt1VzQBm9V7JMl26od86iNKaP1p8zdnNT2M9felNH8SMc5tZcsGdOaeXHNzQP3pyDhsro4db7WnvfJpTV2Sb+jdkpcsq1LS2pctF6N19SnqJbOOXXcaudAybhERv1N+5/aS5bMq1b7zGl7DxLWzrHI2vN6zXm95Hxt1Z819ysZtTFl7TjUXENyx3vNcUjL1o5bsuX+JbeaZzX7MbhkvJJRWzlz22p9HMgzKUgIAADQBkFCkr0rSLjsGdrU875o2TmjNkq87HP638nUr5JnkS2ePeZM/YjamjJqg1zbPQcJo/NkzqiNnFE7OZc8i6+tOVEdq20juaSvydr6lSzdVrTulCX1fDBaf8qadnl+BQnLXVIbppw7D6Pl54zaKDGN1bid9L+TqW+5OnG5bolL7ieTUVs5l26LfdpTkDAZrVNi6XkVrTvn0vM1qmFD/UptlrRbU8vSslEbOaO2pjz6tSH9fbxuzlx7U6Zje9nWuI9L51TPChK2R5AwQ+9BwstiW+rUdmr7O1hTMNOyS/tdsp3afYjamDJaf8rUj6iNwegilHPJhalmrKf6XNPG1NziMe05SLjkHB2c2s7SNmvP/SU19ppz95qxGozavXTpNWowarPU2n1sOQdqj3+yRe1vtc+ctrcgYfp78tpzeWztvEvLR+1MWdr+0G5tLW3Vn7X2azBqY8rcPfClNfUqN75rjsPQz9qxW2P/cstd2mJclp63NeOVlq0Zr7G57bQ8DuTZFCQEAABogyAhyd7tOUiYlo3aKHFqO7XPyZY806rpd2o/6mvtvk/t75y1zyajNsi17T1IuOQdQu37pGRtzZmqjdGyOWvr7NL3KqXbidadsmaso/WnXHIMeV4FCetM7UfbrXXuPKzdxpJ9vvZ+cmmtrLmnTMsuHe+a7ZC9BQnT36P1cpbWmtrzdsl9Se0+TI1JTV9L9//SqK0pj35tWDK3po7NnDVjsWR+9aggYXsECTP0GCRMbdYW80tbXigGS/q+pMCPLSn2tWMetTFltP6UJReOaL05S8Z4bO2xnOpzTTu1feS+7S1ImP5eW0Mio7YHo+VLTOdWrv/X9L2kZs0ZtVlqad245hpybW2q3fbcsYqWn7O272n5qJ0pp459y31m7NmChGnupfk0Nv232jlZ6pI5t8a8vmyz5pxNYzReN2fURnKN/RobtTFl2qeojSlr5kdubNcah8s+1ozfeL2cc2N3uW9bzLOaYzW2pK+1x+7S3DGp6XvN2JJnUJAQAACgDYKEJHu3tyBh+nvtc7fIqO3kkrZzfR675Hlci3Zq+jjY6vkmuaZ7DRLWnqNLn4+3qik5t6pdY0vq2NL3KcnSYxCtO+Xc+6dLo/WnrGmX51eQsN5ou7XOnYe1+5wsqXGDrWpytFyJJcfomnqfrBkPsrcgYXLpPU9J20vO35pzdkn7UTvJmnFYen2J2pqyx2tD7bjWzt25MeVDBQnbI0iY4WxBwmQqUJHRskuN+jq4pM9jU19TG+mCMHhtm4MlF6TabUVtTBmtP2XqR9TG2CUXzTS+UVuXLpkzUTvJmrZK+8djeLYgYZqfkdGyS82d+0vO+7Gp/eS4viav2Y+0btTXGq/Zr9yYjY3WLzH1L2qv1Nr9m9vekrEqPUZL5kHUTrLlPjP2bEHCW1pTN8auMa+j9dK5mFu3ti9zdWCN/RobtTFl7bGpqVu5WrjGOKT9idYt2c/amjzXn2j5W8+zqbEoNbWd2kh9Gry2zcHcONQci7kxIM+oICEAAEAbBAlJ9u7ZgoTpGVFktOxSc88Yl2wv95wsmZaJ1p1zqq+1bZX079LaZ4hRG+Ta7jVIWHv+pLoTtVNi1N6Ut9pOMmojGS1bYxrbVNMG0/9ucZ0oHZto3SmnanhktP6UNe3y/AoS1lt7HxWZOw+X1KWS+7UlfZ/qa+2xuTTtY2pjqMfJa9scLBkLcrDHIGFaJlq3xJL2o/VyrtXvuXpbU2uXXl+itqac62vyCNeGJW2Vju2S/Y/a4eMKErZHkDDDGYOEa5u7SCSXFMpbWHIxqh3zqI0po/WnLBnnZLRuian9aDyWzrm5/tbMh9KLMY/h2YKEtzDq56V7q7EltbXEqO2ctTVjSY1rUZdqf5zkxjRap8Rb1v7W+8zHFSRc5jXndOt5navn6e+X51lqc8k5u+X5GrUx5Vw/I3NjODZ37FuPQ0l7aX8v20n/rWa/BsdtjN3LPEsu2a9bmDuWNf1Oy0ZtkGdVkBAAAKANgoQke/dsQcJbGPVz7JLne8noeWEyPUNb+nzvsq3BkmeoY3PP8SJrxyFqg1zbswQJc+8I5qzZ1jXbidqbc6ru1NavW1n6jiJad8qa8Y7Wn/Ka48jzKUi4zNp+XZo7D5e2f8v7yWS0/B5ccu/Kfu0xSJi8ps5E7Y1der+W2o76n/q6Rg2rabNkvyOjtqbs/dqQ+jh1/KPlc+bGkw8VJGyPIGEGQcI6Sy9Ce+v3YMnNSW3fozamjNafsvTisfRmp6W5eVFzkS+dYzyGgoR1ltSo5B7O+8GW5+ySa0dprRxcMna124is3W5uLuxhDuSOfet95uMKEtZ77TxrOa+X1LxrjPowuPb5GrUxZW3NbXmf2XoconXWcmrc9jTPkrfuT6m5Y9lynpFnU5AQAACgDYKEJHtXkLDO0me0Nc+11nKur62fyUbWPpOM2iDXdq9BwtoaUvuOZ2xpPbj2GXztPs3VnWj5rS0dn2jdKWuOa7T+lNfMF55PQcLl1ta1sSXn4TXttzJ3D1h7fG7lkntX9muvQcJktH6JJdvYQw3L1dqaPi69vkRtTXmWa0P6e7TeLV16vHpVkLA9goQZBAnrrLm47+FCcWlJ/2vHPGpjymj9KUsuxoNbz5PcuN7iRof7VJCw3Nq5f8Yb3SX7FLWTM2pnzqiNWmv3bY3rVWtzfVxjn/mogoR1tphjreZ1bTvXmruvbLVfU0ZtTFlzD5xseZ/Zchxq+tXCqA97m2eDtx6bEnNzuuU8I8+mICEAAEAbBAlJ9q4gYbm1z5+iNm5lrq8tn8lOWfs+LWqDXNu9Bgmjc2TOJefo2KjNS2vfI11aWxPmtnfr9zAlll4jonWnrBnzaP0prz2WPJeChNcZ9aHE0vMwWvdWlo5lWi5af0uvvS6yL3sOEl5zT5Xbztb3ayU1rKZ+Lb2+RG1NeaZrQ+31u7WuA3UKErZHkDCDIGG5Swra3m7QS/ahdsyjNqaM1p+y9GI8uNVYl/TzFjc63KeChGUunfdb19ioT9daU4OXjlvNNmpr8ZS1P0pLr7lbzYGScVlrn/lQQcIy03nSan61mte3PnejPoxd+3yN2piytu7WjGXuutFqHGrbudapMdvbPBt7677lzM3plvOMPJuChAAAAG0QJCTZu4KEZS559nTr55Vjo/6MbfVMds6a94LJqA1ybc8SJIzaqLHkfI3Wq7G2JuTq7pY1NrL0OhGtO2XNu7to/Slr2uX5FSS8zqW1qPQ83PP95Ng07lEbW7nk3pX92nOQMLn0/C2pt1vVsNJrQc2+l7Z5adTWlK4NbXSvW68gYXsECTMIEpa59KZ2ywtFZMl+1I551MaU0fpTLrmI3PqCt6cbHe5TQcK81875W5/3g0uvCzlrrhtLb7ZrthGtv8Ta62HN+N56DpTO2TX3mQ8UJMzb+kd5y3l9q3O35Nxa+3yN2piy9pjVjGOufrUch9q2lprbpz3Ns7G3Gp9Sc/1vOc/IsylICAAA0AZBQpK9K0iY95rnTls8jyt5Zljbr5I2L13z+w+ylXsMEi6pG1E7Nea22eL5+xr7dat3MSWWjlG07pQ17+6i9ads/R6Xx1aQ8Hpr+5isOQ+X1M9rrb3326KPc9b2n33be5DwmvO3ZFtb1IfSMai5l1x6fYnamvJs14bkre/Xt7gPOIOChO0RJMwgSDhvi2K25oWidnxKLiC1bUZtTBmtP2XNxXjsrS54Nf2r6ZML6LkUJJx3yU1t5C1vyG9xjpbWjGjdUqP2Lm25r7XHqHZu1NTZa6yp/WvvMwUJ50xzdY051Xpe19531lo6Bq3369KojSlr74Fr6l+urrceh/T3Netz6XVqL/Ps0trxrrF2n3P70HKekWdTkBAAAKANgoQke1eQcN6lz+DGrvk8bmx6Plba39o+LRmH2meFURvk2u4xSFh77rR6Nh61PVj7DilySS2M2rm05j1CjandmrZLj0O07pQ14x6tP2WL48nzKEjYxtpaVHse7vF+8tI1+1g7D5buA/u09yBhsvYcG1uyvTXrw9jaa0BN7V56fYnamvKM14ZkzThfY+348aGChO0RJMwgSBibCmbrYta6CKcLQu0FqOQiUjvmURtTRutPec34rzlvllyMa459WjZqg8dUkDA2naPX3NRGpvZa19lLW18Xpiyp7dfWipI6Ga231JJ9Grtkfuyt9t9in3tXkPBx16ivY9eY17VtllozDmvs19iojSlrrzUt7zPXGoc1rs+118HafSu1di5Eth6f1KfWx7LlPCPPpiAhAABAGwQJSfauIGFs62feqa01nlcO1j7fbf0cL7L2/VnUBrm2goQPndtutPwSo7bnLK09tTUt5zCma7yjiNadsqa2R+tPWXvN4LkVJGxn1J8pl5yHe7ufnLJ1H9N+19b50usHmRQkfGDUVomldXftGrak/tf0Z0n7yaitKc98bai9nteY9l/dv05BwvYIEmYQJHzUtQtZi/0ZXwhTX6NlpizZt9o+Rm1MGa0/5bUXvjUuzEv7VNOP8fHl8RUkfNRrz+sSa+tiiVucl1E/xkbr1Jgbp9b7vMb1KnJPtf9W+9yzgoQPTHP0VvNnzXnd6txdcs6ufb5GbUxZ2/+accvV9jXHobbtKdM+1I7/2C3n2ZypvWg7NY6Pb+tj2XKekWdTkBAAAKANgoQke1eQ8FFbP3+7tMXzuLFLn1u2fo4XWbuvURvk2u4xSFj7PqFV3ZqqCy2fvUftz1lTe9KytWMXOd5mTXul4xStO2XNsY3Wn3Ltax2PpSBhO6fqaOQ152HtmORMY1ZTb0ts0cfxsawZ22Tr/eG5FSR8YO15NrZmm9dsJ/KaGpbWjdqMXHp9idqa8uzXhtRezZiXeM2Y8aGChO0RJMzQa5AwFcFkan+LArZkv6ILQu3FvOSCUtu3qI0po/WnbHVc0j4vGe/BYZ5EbZdac9FNy0Zt8Jj2GiQc19eSurOGezj3r3GuvreqE1Hbg62P29z+RF67/T0c/1vvc4/2FiS8rK1bzJlbzOu0n1FbOYdxidrMufZ+RW1MWVt7asYrd/24xfGt3cZgi7o8dot5VmJqP9runGlfLvvU+li2nGfk2RQkBAAAaIMgIcne7TVIODz3W/u525Rpu0ufFSav7Xfr53iRtc8cozbItd1jkDA6P+ZM51rUzhK3aH/OJdtO9WpJfY22tcY7imjdKWv2P1p/ypbHlMdXkLCtpfdYLc7D1MaW95Ml1h6/ZNqny36Vjuvg2vvFcylI+NBrakrtdmvP60ujWlFrzf6mZaM2ckZtTdnLtSG1v+T6MJj2r8VY8aGChO0RJMyw9yBhDw4XjMuLxlBkb3FB6MXhwjd3gR6OhQscW7j3IGEvDuf+1Pk/Pu/3dO5f9nOwVR9TO1H7aSyi5Y+q2n9e9x4k5HWm83Hu3B3OWffJx3R8bZ46vreoy0Mf9jjPhn5d9m3o01b9IvmogoQAAABtECQk2bt7DxL24NTzuLHDsznP5ci27jFIuKWpzlzWn2i5ozi8E4redwx1NRmtS/bi3oOER3Tunm6wde0Zat3ctoe6t9X95Fwf09+27Bv7du9BwrObzvupe7bBoXYMtSJqh487jOnUuCaHcd2q/uaOfXLYB8d+PQUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3BQlJ9q4gIcneFSRsjyBhBkFCklxPQUKSXE9BQpIkubWChAAAAG0QJCTZu4KEJHtWkJBk7woSkuxdQUKSvStI2B5BwgyChCS5noKEJLmegoQkSXJrBQkBAADaIEhIsncFCUn2rCAhyd4VJCTZu4KEJHtXkLA9goQZBAlJcj0FCUlyPQUJSZLk1goSAgAAtEGQkGTvChKS7FlBQpK9K0hIsncFCUn2riBhewQJMwgSkuR6ChKS5HoKEpIkya0VJAQAAGiDICHJ3hUkJNmzgoQke1eQkGTvChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfauICHJ3hUkJNm7goTtESTMIEhIkuspSEiS6ylISJIkt1aQEAAAoA2ChCR7V5CQZM8KEpLsXUFCkr0rSEiydwUJ2yNImEGQkCTXU5CQJNdTkJAkSW6tICEAAEAbBAlJ9q4gIcmeFSQk2buChCR7V5CQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3uwgSvvZn7178Ha+6e+nX/Y27l37xV9y99AV/8u6ln/1H717yaZ9199JP/NS7l33sx9+97Ld89N1LP/RD71726z/w7mX/zX/1zP/7zP9++r+nv6flnln+6fWeWT+183R7qd1n2o+2S/IQChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfbumYKEL/meH717yV9+2d1Lv+yFdy99/gvuXvpxn3D3sl//QQ+CgWv79HbS9p7Z7tPbT/1I/Yn6SXJfChKS7F1BwvYIEmYQJCTJ9RQkJMn1FCQkSZJbK0gIAADQBkFCkr0rSEiyZwUJSfbuoYOEr3jT3Uu+5lvuXvqZn3f3sg/5jXHAb2uf7lfqX+pn6m+4HyQ3VZCQZO8KErZHkDCDICFJrqcgIUmupyAhSZLcWkFCAACANggSkuxdQUKSPStISLJ3jxQkfMk//Mm7l3zDt9695PkvuHvZh31YHNzbu0/3+6Wf8/kP9uPp/Yn2k+RtFSQk2buChO0RJMwQBQm/6Dv+2d2f/d5/SZK80t/0xd/+WI39yid+OlyWJFnnf/15L3qkvv6Hn/Bnw+VIkiTX8j/47V/5yP2IICEAAMAyBAlJ9q4gIcmeFSQk2bu7DxK+6qfvXvIV33j3st/2cXEw7+C+9On9Svv34lf9i3j/Sa6uICHJ3hUkbI8gYYbnfum3PTLpSJIkSZIkSdb7nzzva++fuAEAAKAGQUKSvStISLJnBQlJ9u4ug4RvfNfdS77x2+9e+qmfEYbvzmra37TfL/5nT8XjQnIVBQlJ9q4gYXsECTMIEpIkSZIkSZLXK0gIAACwDEFCkr0rSEiyZwUJSfburoKE3/rKu5d+3h+/e9mve/8waNeNT+9/Goc0HuE4kWyqICHJ3hUkbI8gYQZBQpIkSZIkSfJ6BQkBAACW8aw/9qLH7q3e93f+ubv/6Hd9NUl24b/3MV/+SA1M/ztajiTP6Pv+zq9+pAYm//3f/pXhsiR5Rn/l7/ifH6uD/6en/1u07Fp+/Ef9vrtv+oAPjkN1nZvGJY1PNG4k25ju/S7rYLpHjJYlyTN6+WzwfT/+q+7fnmApgoQZBAlJkiRJkiTJ6xUkBAAAWMYHfN6j/7/tkiRJkiTJdf13f8ufvvvtv+mT7775135gGKDjo6Zx+u0f8snPjFs0niRJkq38FR/7lfdvT7AUQcIMgoQkSZIkSZLk9QoSAgAALEOQkCRJkiTJ2/gffNSX3H3Ch/zuu7/2/v9tGJjjvGnc0vilcYzGlyRJ8loFCa9HkDDDc7/kb4eTjyRJkiRJkmS5goQAAADLECQkSZIkSXJdf+VH/cm7T/qNv/Pu297//cKAHOv82+/3fs+MZxrXaLxJkiSXKkh4PYKEGQQJSZIkSZIkyesVJAQAAFjG7/6Kv/vYvdUHff633v2GL/g2kuzCX/nff9UjNfB9P/5/vvvtf+rbSLILP+Z/+NZHamDyv/j0rw+XJckz+hv+8F95rA6m/xYtu9QveN4X3P2dD/iAMBDH6/w7H/gBz4xvNO4ky0z3fpd18Ld+ybeGy5LkGX3fj3/02eD/45O/5v7tCZYiSJhBkJAkSZIkSZK8XkFCAACAZfyRb3r5Y/dWf/uN77578f9yR5Jd+J9/5qP/MusHfN4331dIADg/73jXux+pgck/+k1P3P8VAM7Pi1/z5sfq4Ete++b7v17H21//+rvXfPrzwgAc25rGOY03gHqiZ4PvfOrd938FgPPz6z7Xs8HWCBJm+Lg//XcemXTJ/8Nzv/zu/0iSvNp/97/7nx6rsdFyJMl6/52LGvu/+2g1liRJ3tb3efr+Y3w/8p992gvvn7gBAACgBkFCkr0rSAigZwQJAfTOGkHC9zz1rrsf/covDwNvXNc07mn8AZQjSAigdwQJ2yNImOGrvv21j0y65Jt+5ufv/woAuIbP+frvfqzGvvvfvPf+rwCAa3julz76L2v/qk/68/d/AQAAuA3/4e/4M4/cj3ziV/zd+78AAI7AE6//yfv/C8DWCBKS7F1BQgA9I0gIoHdaBwl/+u99x90TH/lhYchtS1/xnGffveYzPu3uDX/6S+9+4lv+6t3PvPQld09+7xN3b3vta+7e/oYfuXvHj//43VNvefLuPe94x9173/veZ/7f9L/Tf09/T8ul5dN6af3UTmovtRttb0ufeM6HP3McAJQhSAigdwQJ2yNImEGQEADWQ5AQANZDkBAAAGyNICEAHJs/8aJX3v3mz3/R/f8CsCWChCR7V5AQQM8IEgLonVZBwqd+7i13P/D8zwqDbbf0O3/d+9299jM//e5NL/zau5952Uvu3v6GN9y9553vvO/lOqT2f/Gf/tNntpe2m7af+hH175am45GOC4B5BAkB9I4gYXsECTMIEgLAeggSAsB6CBICAICtESQEgGOTgoSpfgsTAtsjSEiydwUJAfSMICGA3mkRJHzyFU/cPfHsDw3DbLfw1c/7lLt//rV//u5tr3n13S+/dx/fxqV+pP6kfqX+Rf2+hS9/+ri85Xtfcd8rABGChAB6R5CwPYKEGQQJAWA9BAkBYD0ECQEAwNYIEgLAsRmChElhQmBbBAlJ9q4gIYCeESQE0DvXBgnf9HVfEwbY1vTv/6YPvnvDn/qSu5/7/lfevfeXnrrvyb55z1Pveqa/qd+p/9F+rWk6TgBiBAkB9I4gYXsECTMIEgLAeggSAsB6CBICAICtESQEgGMzDhImhQmB7RAkJNm7goQAekaQEEDvLA0SvuvJJ+9+4LN/fxhaW8sf+kOfe/cvv+s773twbNJ+pP2J9nMtf/D5f+CZ4wbgUQQJAfSOIGF7BAkzCBICwHoIEgLAeggSAgCArREkBIBjcxkkTAoTAtsgSEiydwUJAfSMICGA3lkSJPzZJ15+9/IP/81hWK21/+iTP/HuJ/7ai+5+6W1vu9/6uUj79ZNP71/az2j/W/vyD/vNd0++wnUOGCNICKB3BAnbI0iYQZAQANZDkBAA1kOQEAAAbI0gIQAcmyhImBQmBG6PICHJ3hUkBNAzgoQAeqc2SPimr/uaMKDW2h/6vOffvfU1r77fah+87en9TfsdjUdr03EE8ABBQgC9I0jYHkHCDIKEALAegoQAsB6ChAAAYGsECQHg2EwFCZPChMBtESQk2buChAB6RpAQQO/UBAn/6Zf9j2EoraWve8EfufuF1//w/Rb7JO1/GodofFqajicAQUIAECRsjyBhBkFCAFgPQUIAWA9BQgAAsDWChABwbOaChElhQuB2CBKS7F1BQgA9I0gIoHdKg4Q//IV/LAyjtfKffPEX3v3iG3/0fmtIpPFI4xKNVyvTcQV6R5AQQO8IErZHkDCDICEArIcgIQCshyAhAADYGkFCADg2uSBhUpgQuA2ChCR7V5AQQM8IEgLonVyQ8D1PPXX3g8//A2EIrYU/+Dmfdfev3/Sm+60hIo1PGqdo/FqYjm86zkCvCBIC6B1BwvYIEmYQJASA9RAkBID1ECQEAABbI0gIAMemJEiYFCYE1keQkGTvChIC6BlBQgC9MxckfOrn3nL3jz75E8Pw2bU+8VEfcfczL3nxM9tBGWm80rhF43mt6Tin4w30iCAhgN4RJGyPIGEGQUIAWA9BQgBYD0FCAACwNYKEAHBsSoOESWFCYF0ECUn2riAhgJ4RJATQO1NBwn/9Y2+++77f9jFh6Oxa3/hVX3n33ncL6SwhjVsav2hcrzUd73Tcgd4QJATQO4KE7REkzCBICADrIUgIAOshSAgAALZGkBAAjk1NkDApTAishyAhyd4VJATQM4KEAHonDBL+3SfuXv5hvzkMm13jaz/z0+/e/iP/5H7LuIY0jmk8o3G+xnTchQnRG4KEAHpHkLA9goQZBAkBYD0ECQFgPQQJAQDA1ggSAsCxqQ0SJoUJgXUQJCTZu4KEAHpGkBBA71wGCf+jj/p/3730o54Thsyu8c3f8ML7LaIlaVyj8b7G9C8TPvVzb7nfAnB+BAkB9I4gYXsECTMIEgLAeggSAsB6CBICAICtESQEgGOzJEiYFCYE2iNISLJ3BQkB9IwgIYDeGQcJ//f/zy+9+8oPeFYYLlvqK57z7Luf+/5X3m8Na5DGN41zNP5LfdWn/J679zz11P0WgHMjSAigdwQJ2yNImEGQEADWQ5AQANZDkBAAAGyNICEAHJulQcKkMCHQFkFCkr0rSAigZwQJAfTOOEj4Jz/oI8NQ2VJ/6A9+zt0v/bzvgW9BGuc03tFxWOoPPP8P3LcOnBtBQgC9I0jYHkHCDIKEALAegoQAsB6ChAAAYGsECQHg2FwTJEwKEwLtECQk2buChAB6RpAQQO8MQcI//Bv+uzBMttQf+8ZvuN8Cbkka9+h4LPX1X/gF9y0D50WQEEDvCBK2R5AwgyAhAKyHICEArIcgIQAA2BpBQgA4NtcGCZPChEAbBAlJ9q4gIYCeESQE0DspSPj7PvhjwxDZEr/rA3/t3ZPf9733rWML0vin4xAdnyX+6Jf/T/ctA+dEkBBA7wgStkeQMIMgIQCshyAhAKyHICEAANgaQUIAODYtgoRJYULgegQJSfauICGAnhEkBNA7L/2iLw3DY0t84iM+9O4Xfvh19y1jS9JxePmznxUepyW+6YVfe98ycD4ECQH0jiBhewQJMwgSAsB6CBICwHoIEgIAgK0RJASAY9MqSJgUJgSuQ5CQZO8KEgLoGUFCAD3z5CueCENjS3zlxz337h0//vTNJXZDOh7/4OnjEh2vJab5ApwRQUIAvSNI2B5BwgyChACwHoKEALAegoQAAGBrBAkB4Ni0DBImhQmB5QgSkuxdQUIAPSNICKBX3vXkk3cv/7DfHAbGan3Vp37S3VNvfet9y9gT6bi86vd+Unjcan35hz/rmXkDnA1BQgC9I0jYHkHCDIKEALAegoQAsB6ChAAAYGsECQHg2LQOEiaFCYFlCBKS7F1BQgA9I0gIoFd+8Pl/IAyL1fqDn/NZd+99t8DNnknH5wc/57PD41drmjfA2RAkBNA7goTtESTMIEgIAOshSAgA6yFICAAAtkaQEACOzRpBwqQwIVCPICHJ3hUkBNAzgoQAeuRNX/c1YUis1hQixHFoFSZM8wc4E4KEAHpHkLA9goQZBAkBYD0ECQFgPQQJAQDA1ggSAsCxWStImBQmBOoQJCTZu4KEAHpGkBBAb7zle18RhsNqfdWnfpJ/ifBgpOP1qt/7SeHxrPXJV7hW4jwIEgLoHUHC9ggSZhAkBID1ECQEgPUQJAQAAFsjSAgAx2bNIGFSmBAoR5CQZO8KEgLoGUFCAD3x1M+95e7lz/7QMBhW4z/4uOfePfXWt963iiORjls6ftFxrTHNozSfgDMgSAigdwQJ2yNImEGQEADWQ5AQANZDkBAAAGyNICEAHJu1g4RJYUKgDEFCkr0rSAigZwQJAfTEDzz/s8JQWI1PfMSH3r3jx5++icRhScfv5c9+Vnh8a0zzCTgDgoQAekeQsD2ChBkECQFgPQQJAWA9BAkBAMDWCBICwLG5RZAwKUwI5BEkJNm7goQAekaQEEAv/PTf+44wDFbjd33gr737hR9+3X2LODLpOKbjGR3nGtO8Ao6OICGA3hEkbI8gYQZBQgBYD0FCAFgPQUIAALA1goQAcGxuFSRMChMC8wgSkuxdQUIAPSNICKAH3vPUu+6eeM6Hh0GwGp/8vu+9bxFnIB3P6DjXmOZVml/AkREkBNA7goTtESTMIEgIAOshSAgA6yFICAAAtkaQEACOzS2DhElhQmAaQUKSvStICKBnBAkB9MCPfuWXhyGwGn/sG7/hvjWciXRco+NdY5pfwJERJATQO4KE7REkzCBICADrIUgIAOshSAgAALZGkBAAjs2tg4RJYUIgRpCQZO8KEgLoGUFCAGfn7a9/fRj+qvGH/uDn3LeGM5KOb3Tca0zzDDgqgoQAekeQsD2ChBkECQFgPQQJcUS+7Mu+7O593ud9JgX2wt6DhK985SvDc2gw/R3AujgPAayNICEAHJstgoRJYULgcQQJSfauICGAnhEkBHB2XvPpzwuDX6W+4jnPvvuln/dN75lJxzcd5+j4l5rmGXBUBAkB9I4gYXt87Z5BkBAA1kOQEEdEkBBHQZAQQA7nIYC1ESQEgGOzVZAwKUwIPIogIcneFSQE0DOChADOzE99698KQ181/tz3e6fZA+k4R8e/xjTfgCMiSAigdwQJ2+Nr9wyChACwHoKEOCKChDgKgoQAcjgPAayNICEAHJstg4RJYULgIYKEJHtXkBBAzwgSAjgr7/7FX7z7nmf9xjDwVeqbv+GF962hB9LxjuZBqWm+pXkHHA1BQgC9I0jYHl+7ZxAkBID1ECTEEREkxFEQJASQw3kIYG0ECQHg2GwdJEwKEwIPECQk2buChAB6RpAQwFn551/z1WHYq9TXfuan37eEnkjHPZoPpaZ5BxwNQUIAvSNI2B5fu2cQJASA9RAkxBERJMRRECQEkMN5CGBtBAmxJ1IYiWS94zq+lakfQO8IEpLsXUFCAD0jSAjgjLznne+8++4P/qAw6FXq29/wI/etoSfe/iP/JJwPpaZ592+enn/AkRAkBNA7goTt8bV7BkFCAFgPQUIcEUFCHAVBQgA5nIcA1kaQEHtiPBdJHk9hQvSOICHJ3hUkBNAzgoQAzsib/8LXhyGvUl/6gi+6bwk98sav+spwXpSa5h9wJAQJAfSOIGF7fO2eQZAQANZj70HC9PG8D+hxiSAhjoIgIYAczkMAayNIiD0xnoskj6kwIXpGkJBk7woSAugZQUIAZ+OX3/Oeu+/50A8JA14l/qVf+4F3L3nVP7tvDT3y3ne/++6Jj/qIcH6UmObfL7/XP3aA4yBICKB3BAnb42v3DIKEALAeRwgS+ogelwgS4igIEgLI4TwEsDaChNgT47lI8rgKE6JXBAlJ9q4gIYCeESQEcDZ+/C9/cxjuKvVZz/qMu5e89s33raFXfuYlLw7nR6lpHgJHQZAQQO8IErbH1+4ZBAkBYD2OEiT0IT3GCBLiKAgSAsjhPASwNoKE2BPjuUjy2AoTokcECUn2riAhgJ45c5AwvXv/yI/8yGeM3lOkvye9rwDOxRPPeXYY7Crxiz/o6XrxdB08S5AwVwfTfx/qoFr4OD/4OZ8VzpMS0zwEjsJZg4Sprg11cK4GJgH0jSBhe3ztnuEIQcKpC+iUafnxxdUPDABbcaQgYfJI9fKy75f6cbWcNHbRmA4Ce0GQEEAO5yGAtREkxJ4Yz0WSx1eYEL0hSEiydwUJAfTM2YKE6X177bdug95bAMfnJ//GXwtDXaX+6o/4/Gfq4JGDhLnvjnKqhQ/51296UzhPSk3zETgCZwoSphq2tA6me0gAfSJI2B5fu2c4Y5BwznRx9kMDwK04WpAweRSivo9N9R7LyP2QBfaCIOE6pH6N68Dw/0EHzks6vuPfXOl/73V+1nLU8xDAcRAkxJ4Yz0WS51CYED2x9yBh9Jtyie//IR/5jJ/6gi97xmhbJPtUkBBAz5wlSJjeObT4xi214f0FcFy+97f+ljDQVeIf/OCP+bd18IhBwpbf+SZ9p/CAf/LFXxjOlxK/77kffd8KsG/OEiQcf291jeof0B+ChO3xtXuG3oKEYz10AbA2RwwSppp7BKK+j/Vjajm5H7TAXhAkbM9cn49yfUAdc7+19jhHaznieQjgWAgSYk+M5yLJ8yhMiF7oJUgYOQQLo+2S7EdBQgA9c4YgYauPxsd6hwEcj7f8g1eGYa5Sf81H/NF/WwePFCTMvZO91t7r4S++8UfD+VJqmpfA3jl6kDDVqdZZB99pAX0hSNgeX7tn6DlImExte/ACYC2OGCQcauPeyT2EEiRcjiAhjoIgYVty/U2qreei5HfW0TnaeQjgeAgSYk+M5yLJcylMiB7oOUg4NoUKo+2TPL+ChAB65uhBwrW/awNwHH74C78gDHKV+Pm//qMfqYNHCRKuWQPH9v5e93Uv+CPhvCnx9V/0x+9bAfbLkYOEJd9bXaPvWoA+ECRsj6/dM/QeJBx0oQWwBkcNEib3/kA69wNM2GU5goQ4CoKEbcmd+4M4D9HxvfTo19OjnYcAjocgIfbEeC6SPJ/ChDg7goSP+uV/85VhP0ieV0FCAD1z5CDhLb5pEyYEjsF7nnrX3Xd9wPuHQa4S/8uP+EOP1MEjBAlvFSIc7Lke/sLrfzicNyWmeZnmJ7BnjhokzH2T0krftgDnR5CwPb50zSBI+FAXWgCtOXKQMLnnBzC5vgsSLkeQEEdBkLAtUR8jcQ5Kg6OChAAwjyAh9sR4LpI8p8KEODOChI8rTEj2pSAhgJ45apCw9nu2tPzYaJkp0/IA9s2/+I5vD0NcJb70U573WB3ce5Cwto61sud6+EOf9/xw/pSY5iewZ44YJMx9jxI53AcORstM6fsW4NwIErbHl64ZBAkf1YUWQEuOHiRMphq8R3J9FyRcjiAhjoIgYVuiPka6Xz4HpUHCvd4HlHK08xDA8RAkxJ4Yz0WS51WYEGdFkDBWmJDsR0FCAD1zxCBh7v3DYHrPMvftQmqn9Ls47zSAffPa3/8ZYYCrxBf/lb/zWB3cc5CwtAYOTtXC1E6y9N31YK/18K2veXU4f0pM8xPYM0cMEpbew6UaN1e3evl+B8A8goTt8bV7hjMECSOGHxl+aADYkjMECZN7/BGS63v0AApl5K6bwF4QJGxL6QMunIPSe4CjX0+Pdh4COB6ChNgT47lI8twKE+KMCBJOG/WH5PkUJATQM0cLEpa+Y6l5B7FGmwBux//20z8dhrdKfNWn/J67F7/mzY/VwT0HCaP6FFnzvVmqbzXf+fZaD//RJ39iOI9KTPMU2CtHCxKWfGNV+83tGm0COA6ChO3xpWuGswYJI9KPBxdaALfkLEHC5N5qY67vgoTLESTEURAkbEvJQ3m19VxEx/jSo3O08xDA8RAkxJ4Yz0WS51eYEGdDkHDa9/+Qjwz7RPJcChIC6JmjBQlLvj1b8v4h904j6Zs2YJ/82Dd9YxjcKvEnvuVFhwoSltTA5NL3sCW1MNlrPfyJv/aicB6V+GN/8RvvWwH2x5GChGves611nwlg/wgStsfX7hl6ChIOlHwk7UILoAVnChIm9/QQJtd3YZflCBLiKAgStmfuvvuah1xTuufeliPO0Vp62Me1iM7ZQeMGPESQEHtiPBdJ9qEwIc6EIOG8UZ9InktBQgA9c6Qg4drfnOXeayQ9owf2x/d//MeFwa0Sf+nnf/5QQcKoLl16bZ1K66d3klHbY3ush7/0treF86jENE+BvXKkIGFUj8am+nUNufp3bfsA9okgYXt87Z6hxyBhIvdgRwAFQAvOFiRM7uWHSK7v6vhyBAlxFAQJ1yGqAdfU1Ll7eQ+3tifNw8tjlP73XudnLUc9D/eAcxcoQ5AQe2I8F0n2ozAhzsIZg4TpXxIcjP5e46e+4MvCfpE8j4KEAHrmSEHCuWfnyRbvHXLvNpIA9sM7f+onw9BWiT/0Bz/3mTaOEiTMfU+UbPX+taQWJnvkh/7Q54bzqcQ0X4E9cpQgYa42tfqWInfP6dtY4HwIErbHL+cMvQYJE2u1CwADZwwSJvfwQyTXdz+WlpN78AfsBUHCdUn9a9HHuXvuVg/QcD2tjvfeSPsUzb3BM+5zK5y7QBmChNgT47lIsi+FCXEGzhYk/PK/+cqwnRQIjJbPmcKIUXskz6MgIYCeOUqQMPceveWz87ln9EnvN4D98L9+27eGga0S/+X/77ueaeMoQcKoHo1t/a1W7l1vssd6+C+/6zvD+VRimq/AHjlKkDCqQ2Nb1aRc/fPNBnA+BAnb42v3DD0HCXMX2h5/ZABoy1mDhMmta2Su74KEyxEkxFEQJDwGc/fyHmxhbZyHy3HuAmUIEmJPjOciyf4UJsTR6SVIOLjkXymM2iF5HgUJAfTMUYKEa32/FpF7v5EEsA9e9wUvCANbOf/+b/rg+xaevh88QJDwlmHqMbna2+v3YWn+RPMqZ5qvwB45QpAwd3/Wuh6pf0BfCBK2x6/mDD0HCRNRe4MusgCu5cxBwuSWH9/f+odZT6Sxi8Z0ENgLgoTHYO5efq2XCcCA83A5zl2gDEFC7InxXCTZp8KEODK9BQmTtWHC9K8ZRu2QPIeChAB65ghBwtw79DW+T8ht0zsOYB888ZEfFga2cv7In/qS+xaevh88QJAw9w3vWt9p5d739vre8g1Pz59oXuVM8xXYI0cIEkY1aOwaRNsZ9N0GcC4ECdvja/cMvQcJ59pe68cNgH44e5AwudXD6Vzf1fDl5F5IAHtBkPAYzN1ve6iFtXEeLse5C5QhSIg9MZ6LJPtVmBBHpccgYQoGRutOKUhInltBQgA9c4Qg4dwz8+RaRNsa9E0EsD3/6k1vCsNaJf7c9z98T3mGIOGaRNsb2yNp/kTzqsQ0b4G9sfcg4VbfqvqOE+gHQcL2qJIZeg8Szl1kPXABcC09BAmTW3yEv9WPsx7wAxRHQZDwGAgjYUuch8tx7gJlCBJiT4znIsm+FSbEEekxSJiM1p1SkJA8t4KEAHrmCEHC6P5scM1n5t7dA/vmJ//6t4RBrRLf+0tP3bfy9P3gAYKEUQ0aXPvdoVr4OGn+RPOqxDRvgb2x9yBhrg6t+e1JtL1B38gC50GQsD1+MWcQJJy+uPs4EsC1HD1ImKu/Y2/9IX6u734kLccDOBwFQcJjMHctcb+NtXEeLse5C5QhSIg9MZ6LJClMiKPRa5Dw/T+k/Bl8WjZqg+Q5FCQE0DN7DxJu+eG49xzAvvnHf/jzwqBWzlc/71PuW3jA3oOEuVq09jdaamFMmkfR/MqZ5i2wN/YeJIxqz+Da30/4dgPoA0HC9vjaPYMgoSAhgPU4epAw1cjcMmNv+WCmpO9YRu5FCLAXBAmPgQda2BLn4XKcu0AZgoTYE+O5SJJJYUIciV6DhOlfGYzWjxQkJM+tICGAntl7kHDr5+XRdgd9FwFsy/c86zeGQa2cb/q6r7lv4QFHCBKmejPl2u9cvfON+edf++fD+ZUzzVtgb+w5SLh1DUp1NtruIIBzIEjYHhUygyChICGA9ThDkLBkubG3ejhT2nfU48cnjoIg4THY+uUq+sZ5uBznLlCGICH2xHgukuSgMCGOgiBhXkFC8twKEgLomb0HCaN7s8FbPC/3/h7YJ//qjT8ahrRKfNtrXn3fygP2HiTcGu98Y9I8iuZXiWn+Antiz0HC3L3YLWpQtN1B38kC50CQsD1+LWfoPUg417aLK4BrOUuQMJFbduwtfhzV9B115H78AntBkPAYCCNhS5yHy3HuAmUIEmJPjOciSY4VJsQRECTMK0hInltBQgA9s+cg4R6+S/CuA9gnP/OdLwsDWjm/89e9390vv/fRb8cECefxHVNMmkdpPkXzLGeav8Ce2HOQcO7bieQt8P0GcH4ECdvja/cMgoTTbQuhALiWMwUJE7nlx679sLq27yjHAzgcBUHCY+BhFrbEebgc5y5QhiAh9sR4LpLkpcKE2DuChHnTslEbJM+hICGAntlzkHAv786jbQ/6NgLYhjd9/deFAa2cr/3MT79v4SGChPP4jmmaNJ+ieZbzzd/wwvsWgH2w5yBhVHcGb3Ufpg4C50eQsD2qY4beg4RRe4MAcC1nCxImcuuMXZMlfUcZfnjiKAgSHgNhJGyJ83A5zl2gDEFC7InxXCTJSGFC7BlBwryChOS5FSQE0DN7DhLu5Vl5tP1B30YA2/DDX/CCMKCV800v/Nr7Fh4iSDiP95bTpPkUzbOcaf4Ce2KvQcK9fHPie07g/AgStkd1zNBzkHDuwtr7DwwAbThjkDCRW29wzVq6tO/I44cnjoIg4THwUP8hqb72ctz3gvNwOc5doAxBQuyJ8VwkySmFCbFXeg0SRutOWdrmElPbKaj4/h8y/Vsw/S2510Dj0P9oH4Z+rzmG5LUKEgLoGUHCPN7hA/vjH/7uTwgDWjl/5mUvuW/hIYKE0+TqX+/vLdN8iuZZzjR/gT0hSJgn2v6gb2WB4yNI2B6/lDP0HCSca/cWF9V0A5G2k/ox1Zf039Mye/nAda6/e+srsAfOGiRM5NYdTLVhDa7p+xLS9pJDHYy2OdTH1tsuYehbcqpvw99zTLUxCOyFMwcJ5+rNlrVmCdE+DKa/9cSRjtutGOb51DwZxiw5d85Mcc15uAfGtSA3Rq33ZWp7yfQ3AA8QJMSeGM9FkpxTmBB7pMcgYVomWnfKqI1rHMKD0bZKbBUqjIJ/U6Zlx+umfahZf3CvYUj2rSAhgJ7Zc5AwupcYTM/mb0XaVtSHQQC357s/+IPCgFbOX/yn//S+hYcIEk4z984yectavEfe/oY3hPMsZ5q/wJ7Ya5BwT/dg0fYHe6+FwBkQJGyPX8oZeg0SbvVRZPq4M7c/c6aL/bUfiNbu+9I+uzEBzh0kTOR+KA2uUVev7XsppfsYmfZ77VqYG4cp5/qV22dgL5wxSLik5qRaE7W1hLl7vtJaPtdGrWsRbWvsGrV7PB/WIDfu0fFbMkdbkMb3mnmS1i/t21r7WNr/Je2ndW41PmOu2ealQE8IEmJPjOciSeYUJsTe6DFIWBvii9pY4rUBwshrgnlLg4RLAoSXlhwn8lYKEgLomb0GCdd6x7CEPfUFwN3du372Z8NwVonveec771t5iCBhTK72JXsnzadonpX4riefvG8F2J69BgnnvqNIf7sle+oLgPYIErbHnWKGHoOEufbWeriS226N13zcXHMz0aLPHlahZ84eJEyU1onL+nItLfo+R8nDqFLTvreuham9tWp0Grto2UFgL5wpSJhbtsQWdXaurpS236I2Da5Frs4lWzMel2uvURHjvkdG9b5mjrag5dxIlvRvjX0s3Y812y6xdp4d4dwF9oggIfbEeC6SZInChNgTvQUJ09+j9aZs9S/o1W63xhTsWxLMWxIkbBEiHBQm5F4UJATQM3sNEu7pvfka7zsALOetr35VGMzK+YrnPPu+hUcRJIzJvb9Mf8fd3RPP+fBwvuV822tefd8CsD17DRJGtWdwjW9/5pirieohcHwECdvjC7YMPQUJ00V7ix8XuYc519j649Tx/ufGqkYPrNArPQQJE6X1omWNbdX3iJb1b2yr/c+9sKj1sl+59oG9cJYgYW65Gq+tM3P1r7TtuTZqXZNoe2OH49OKy/ZbkhvzqWNXOkevpfV1a7BkTrbex9L5Xdturp/XWNqXo5y7wN4QJMSeGM9FkixVmBB7oacg4ZIwX9ROra3/FcIpa4N5tUHCliHCQWFC7kFBQgA9I0hYRtSHwWu+jwBQz0/9rb8RBrNyvuYzPu2+hUcRJHyckneXeMBrPv154XzLmeYxsBcECfP4phM4N4KE7VEZM5w5SJg+mEwXztIPItNyrWn5MeaULT9+HcZgjX7X9hM4A70ECROldWOoM9fSsu8DuTZbeO3+r1Gfk+N++dGJo3CGIOEadeeaOjNXY0rbbVmn1iRX65KtiLaVjn0rLtu+dGpbJXP0WlrOh0tL5mTLfSzdl9pxW3OMBkv6dJRzF9gbgoTYE+O5SJI1ChNiD5wtSJjCbimcNphCfEuDfC3+NcI1wndz1gTzbt23KaO+kbdUkBBAzwgSlhH1YXDJ9xEAlvPGP/MVYTAr5xv+9Jfet/AogoSPknvHmyx5V9wLaV5F8y1nmsfAXhAkzLO3e1MAbREkbI/KmOEMQcIWrvHD4hb9Hmz1AWz6W+5mY6lrjDGwd3oKEiZK616LetC67yUPoVq5dP9Lx3epQ7/86MRROEOQMPrvLUxtL2GuzpTWrpa1am2ibY5dOo6XRG2XjmeOXM2e207JHF3KmvN7sGQMW+1j6byuHbOW50vOXN9a9gXoCUFC7InxXCTJWoUJsTVnCxK2MoXsov7UeKt/ifDS0jDhXoKELQKb5DUKEgLomb0GCeeem5e8o2hN1I/B2u8jAFzHj3zpnwyDWTl/4lv+6n0LjyJI+JDS98x4yE+86K+E8y1nmsfAXthjkLDV9yat8E0ncG4ECdujMmYQJHzwcKf1Bb30B81g6kO6yI+t3e/SfbhmPNO6Y6Nl5rz1jROwNb0FCROltSEtdw2t+15b08b1OllbF2v3P20jaifn0K/S/g37E/1tENgLRw8S5qw9f8em5Zcwt53SNmv7Oufa5Ord0nEcM7eNFvfGUbtj57aRm6NL+3ft3C+15Pi02MfSOV07XrXjlPoxXKcHa8+3uT7WtjUn0BOChNgT47lIkkv8Ey9a9hsAaIEgYWzUlxpTmC9q9xaWhiD3EiRMRv0jb6UgIYCeESQsY2/9AXrmdX/sj4bBrJw/89KX3LfwKIKEDyl5Z5nek+IhaV5F8y1nmsfAXhAkzLO3/gBoiyBhe3zBlkGQ8FFb/ciI2o4s2V66uJeMQelDodrxTMvnbjByNyhjgZ7oMUiYKK0zpXUromXf07JRG5eW1MNEaXslbSVqamxJH1P/5o5R7vgBe+GMQcJ0fubO4dw5OlhTBwdytaGE0v6VeAui7Y4trdVTzI3HkmM0Jne9yR2z3Bxduu9RW1OmPk6NQ9r+3D6WzMlr97F0Pi8Zq6idyJJ5krZf0te5MSvd1xKBnhAkxJ4Yz0WSrNW/SIitESR83KgftUbtlpj+db4UQhxM/3tJ4K/kX/nbU5Cw9F9RJNdQkBBAzwgSlrG3/gA98wPP/6wwmJXzye+Na5sg4QNK3leqd4/z5CteHs63nGkeA3tBkDDP3voDoC2ChO3xBVsGQcLYay6oa/2gyX0onCzpd8141o5DSdtuVtATvQYJE6W1Zuk2WvU9185gbe1Ky+fGoPRaEK0bWdvHRM01YRDYC2cKEpbWg4GStmvbTMzVhCXtJdZosyW5e+xrroUlx+ka5sY2mbsu5PqXWz8i16fB2mOf+nLZdkkb1+xj6b6sNU61Y5TIzedkaX/n+rikb8BZESTEnhjPRZKsUYgQe0CQMDaF7JaG21KIL2pzzpLt1Qb/ojbGXhMkTOtehhWH4GO0fM6S4CO5loKEAHpGkLAMz+2B/fDqT/vUMJiV822vfc19C48iSLje+9MeeOtrXh3Ot5xpHgN7QZAwz976A6AtgoTt8bV7BkHCaZf88MhdqJPX/KApaT9H6XguvanItX/Nx9jA0eg5SJhYs9606ntJH5fWw8S1NbEkEJC2cQ2lx2kQ2AtnCRIuPYdL2q9lrh4s7ecabbYm6tvYpdeBuX0fXHqtzV0fSsY2N4dq97vkmpVcOp6JcZ/X3MeSY5eWWbIvuT4lS/ZtipL2S5gbg2v6B5wNQULsifFcJMlShQixFwQJ502Buahfc0btzFmzjZrwXy6ctzRImGs3BQqj9XJGbZG3UJAQQM8IEpbhuT2wH/7h7/r4MJiV8+1v+JH7Fh6l9yBhyfvN5JJ3sz2Q5lU033KmeQzsBUHCPHvrD4C2CBK2x9fuGQQJ56190JLra4sHN7kPdHM3AyXjeU0/czcrSz+WBo5I70HCREnNSdb+kGnR91wbydp+RUTtDubqbbTO2BbXlUTpcUoCe+EsQcJr6kzu3K1lrr2l9WaNNluTu79eej2M2opcQu7Yl8yr3BytnZtRG5deM9/HpP0vmT9L9jE3tslr5m6u/WvaHsjN6ZLjMNfPFn0EzoIgIfbEeC6SZIlChNgTgoRllv7rhEtCdFE7c9YEAKP1B5cECUtDj7cYB7KVgoQAekaQsAzP7YH98H3P/egwmJXzHT/+4/ctPErPQcLc+9zBVu+Zz0iaV9F8y5nmMbAXBAnz7K0/ANoiSNgeX7tnOEOQMF385kwfUSZz7UxZ87AlWn9sK6K2B3MfOpeMw7VEbY4FekGQ8AFR25GpP6W06HtaJlp3sNX+57YzRW69ZEtKr5PAXjhDkPDaOtO6js3VgZp74jFrtLkGUf/G1lJSwwdrrn+J3NwqHddcOzX9mjvOg7X7maNkftfuY8l+XDtvozbHtiJqe7Bk7ObG4toxAM6EICH2xHgukmROIULsDUHCckvChLXhvNKA4tj0LwJGbUXO/euBS4KEUTtTRuvPuWQsyBYKEgLomb0GCXPvem6N5/bAfnj5sz80DGblfOotT9638Cg9BwmjmnZp7XcPvZHmVTTfcqZ5DOyFPQYJE1FNGrx1bWr5jQ+A/SFI2B5fu2c4Q5CwlnSxzD3subTkgp9rs+VNwzU3BLnxbPFwKTcWQC8IEj4gt52xc/VrTIu+R+uNbcmSh/rRsmNLx6qGaDuXAnvhDEHCFudx1O5gbR1fUqtyrNHmGuTuX2vHMmpjytpxmBvTZGlfc3O0Zn5G649d45pVQs0+5sY1ee2cbT3P5rj2+M6Nx7XjAJwJQULsifFcJMk5hQixRwQJyy351/ii9eaM2iixNAQ41+faIGHJ/o+tCTwmBQm5lYKEAHpGkLCMqA+DLd8vAMjz3R/8gWEwK+d73vGO+xYepdcg4S3ez/ZAmlfRfMuZ5jGwFwQJ8+zt3hRAWwQJ26MyZugxSDgmfTxZ8oMkec2HlsnWRNsYnOtrrp8tbm7csAAPECR8SG5bY3P1NnFt32+574m5uhg99Mr1L1qnBSXXRGAvnCFI2IKo3cHaWjZXA5bWnTXaXIOWx2uu5k+Ztl9Cy+tDrq3SPuX2d8vjXLqPc/N0sMV+5LbTmmgbg7njO9fXLY8psDcECbEnxnORJKcUIsReESSscy5Ml4Jw0TpTzv1rgTlLQ3otg4S1/b3leJDXKEgIoGcECcuI+jBY+04QwHVEoawSf/mXf/m+hUfpMUh4q/ezPfDe9743nG8lAntBkDDP3u5NAbRFkLA9KmOG3oOEA7kPTJO5HybROoNr3DDM3RTMbW8P45n7aBU4C4KEj1JSawdzdeLavs/V0OQaRNsZvCTXvzXraLS9scBeOHqQsFWNnbu3q32w3rKtgTXaXItWtXdun6csnQ+5tmvmVW6OttrfLSnZx5Lj1WquRm0PtqoJY+bmdG57c+PSajyAMyBIiD0xnoskGSlEiD1ztiDh3L9ql/6Wwmq1AbpLo7aTpeG+wWv+Bb6abUXrJ2vHIWpjTkFCHkVBQgA9s9cgYav3KK2I+jC4xjsGANMs/hcJ3/nO+xYepbcg4dw7zLEow79IiDOw1yDhnr6byNVOAMdGkLA9KmMGQcKH5B4AJaceAuXWXeOBzdxNwdwNyi3Gc28P04CtECR8nNw2x87Vimv7fqtry5hoO4OX+7pF/wa23DZQgyDhA+bO2fS3Glq2NbBGm2tRco3KMdfG3FgkS4jWG6wdz9z+Xl6bpojWHdz6GOf2MXdMkq32IdeXPf1mTMyNzdbHFdgTgoTYE+O5SJKXChFi7/QUJLy0Nvg3OPWv/F0bUFzLqTFZO0iYjNqZUpCQWylICKBnBAnz7KkvAO7uXv7sDw2DWTmf+rm33LfwKD0FCXP1bFBdK+eptzwZzrecaR4De0GQMI9vOIBzI0jYHl+7ZxAkfJS5Dy2TUx935tZLpv1obbSdwSmWrleDB1jAAwQJY0ofCiWn6sW1fY/WGXtZb1sYbWfwsr/RMoOprTXJXdOAvSBI+IC5+lJbL1q2NbBGm2uSq4FT16WBuf1N687Ni2vaTtbOqdwczfUnkRuvVvN8Kbl9zNlyjubGKpm219poO4NzzK2b/gbgAYKE2BPjuUiSY4UIcQR6DhIma//VvMGorWi5PTgV0KsJEk6FJ3NGbU0pSMitFCQE0DN7DRImovuFwVu+A8m9YwBwW77vuR8dBrNyvuMnfuK+hUfpJUhY+u625D01HvKOH//xcL7lTPMY2At7DRLu6R4s2v7g1t/mALgeQcL2+KWcQZDwcaJtjI0o+Sj01k5xiw9CW3yUDJwBQcJpSh8OJaOacW3fo3W29LK/0TKDa//wy13TgL1w9CBhVNuW0PLebo37xDXaXJPcccv1OVonOV4v+vvgHNHyg0vGssUc3fs1I7ePOVudp4ncWG3hHEc7d4GtECTEnhjPRZIcFCLEUeg9SJhcEiaMQm/RcntQkJCcV5AQQM8IEubxzB7YF//wd318GMzK+Yv/9A33LTxKL0HCuVo2qKbV8/Y3/Eg433KmeQzsBUHCeVp83wNg3wgStsfX7hkECR8nd+GPLrglP3Ju7dSNwVxfW/0Qc9MCPECQcJ7c9gej2nRN30u3e0vH+5jrX/r7muS2D+wFQcIHtLy3a9nWwBptrs2S3wOJufXG16W55Za0nRy3X0qLObr345vbxxJLxqGEubHayrl9O+K5C2yBICH2xHgukmRSiBBHQpDwgTWhuuRlsG7pv2x4C6dCgIKE5AMFCQH0zJ6DhLn3M7fCM3tgX7z60z41DGblfNtrX3PfwqP0ECQseVeqni0jzatovuVM8xjYC3sNEiaiejW45FudJbT4vgfAvhEkbI+v3TMIEj5O7oIbXfhLfujc2qkbg7m+tvox5qYFeIAgYZ5cHwYv69M1fS/d5i0d71+uf+nvaxNtdxDYC4KED2h5b9eyrYE12lyb3LGb6ne07OCYufanrl/RsoNLx7HFHN378c3tY6ktmBurrZw7xns/tsBeECTEnhjPRZIUIsTRECR8YAqxRe1NKUhYZtTWlIKE3EpBQgA9c+QgYcm7lBZE2x68xXcdAB7lB57/WWEwK+eTr4hr29mDhLlaOohlPPm9T4TzLWeax8BeOGqQ8FbfTuTqKIDjI0jYHtUxgyBhTLSdwegBzJE+Cr3FB6G5D3Zv9SAN2BpBwjJy/Rgc16hr+l66vVtas2/p72sTbXcQ2AuChA9oeW/Xsq2BNdq8BbmHcJfHb2756Jo0t3xN28mo/RJazNG9H9/cPpbaYl/mxmor547x3o8tsBcECbEnxnORZN8KEeKICBI+NGpvzvG6goSxUVtTChJyKwUJAfTMnoOELd6lXEvuPRGA2/O6P/ZHw2BWzp9+6UvuW3iUMwcJS9/X3qKenpWfeXpeRfMtZ5rHwF7Yc5BwD99ORNseXPrNEIB9IUjYHr+WMwgSxkTbGYwu/Lk+buHUj6tb3NTs4UEasAcECcspraNDnbqm77l1t3Bcf/dQQ6PtDgJ7QZDwAS3v7Vq2NbBGm7cgd/wurzNz+xkx135N29eMYYs5uvfjm9vHGq/dn7mx2sq5Y7z3YwvsBUFC7InxXCTZr0KEOCqChA+N2ptzvK4gYWzU1pSChNxKQUIAPbPnIGEiumcYvMU3Fbn3CwBuz4986Z8Mg1k5f+Jb/up9C49y1iBh6bvakvfSmOYnXvRXwvmWM81jYC/sOUiY7vei2jW4Nrlaeov7UQDrI0jYHr+WMwgSxkTbGYw+mjzSR5a36GvuxsWPP/SCIGEdc/VpbFrumr4foUZF/Rpc+7jkxgfYC4KED2h5b9eyrYE12rwVuYeBwzGcO9Zz+xgtPziQ68M114QWc3Tu+Ca3JrePg7n9GCwZkymOdi4crb/AVggSYk+M5yLJPhUixJERJHxo1N6c420tCRKmdW7leD8HBQnJBwoSAuiZvQcJc+9q1iba5qDn9cA2vPHPfEUYzMr5hj/9pfctPMpZg4Rz7xsH1bHrSfMqmm850zwG9sKeg4SJqH4Nrv0tZ+m3SwCOjSBhe3ztnkGQMCbazmD042Xrh0Y1zI1nqx9mLT5KBs6AIGE9uZo/mFsu1/doncEt9vuSqF+Da/cvNy+AvSBI+ICW93Yt2xpYo81bUXqdnNvHOebaH+bHmuPXYo6mMYjWHdya3D4mh3EsWTZZMi4Rex+rS9ace8CZECTEnhjPRZL9KUSIoyNI+NCovTkvtxUtM+d43S0UJCQfKEgIoGf2HiRs8T5lKbl3C2t/OwAg5qf+1t8Ig1k5X/MZn3bfwqOcMUg4965x0DvHNrzm058XzrecaR4De2HvQcItv5+ItjkWwDkQJGyPCplBkPBxcg+Aoov+kT4KvcUNzZYP0YA9IUi4jFzdLzHX92idwT08bL9FrZ7iSNc09I0g4QNa1os1as8abd6SkpoY/fdkyf5F6w2ufZ1uMUdvNc+Xkuvf5THKLT+4hKNdX49+7gK3QpAQe2I8F0n2pRAhzoAg4QPTelF7cwoS5o3amlKQkFspSAigZ/YeJExE9w2Daz4zn3tWnwSwDW999avCYFbOVzzn2fctPMrZgoS52pX0vrEdTzznw8P5lvNtr3n1fQvA9uw9SJj73mOtb2Ny37Bc+90QgP0gSNgev5gzCBI+Tu6CH114cxfrtW4SljA3nq1+oB1pPIA1ESRcTslDpTlzfb9FLbyG3P6vSbS9scBeECR8QMt6tkZtXKPNW5I7jnOWXEfnfnusPXYt5miujS3vJRJL9nFu3AeXjH+L8b4la88/4CwIEmJPjOciyX4UIsRZECR8YIsgYU0wL7m0r60UJCQfKEgIoGeOECSce5+TXOsZf7StQc/qge1418/+bBjMKvE973znfSsPOVOQMPdOdHBv70aPSppP0Twr8V1PPnnfCrA9ew8SJqJaNrjWfdlW96AAbo8gYXt87Z5BkPBxctuLLry5H0Bbf0A7Zm7/Wt3M5MbDzQt6QZDwOnL1eM5c3299bakl9yNwrWOTmxNJYC8IEj6g5b1dy7YG1mjz1uRqcmTNvkXr52xxHWg1R6N1x27J0n2cm7eDtfM315e1ru1LOcO5C9wCQULsifFcJNmHQoQ4E4KED0whtqi9OS/bqA0Sbh2cEyQkHyhICKBnjhAk3OIZf+5dRel7HADr8N0f/EFhOCvn29/whvsWHnKWIGGuVg6qX+1I8ymaZznT/AX2xBGChLl7s9bkaqrvNoBzIUjYHl+7ZxAkfJSSj4SniJYduwapv8maH1dz49nqxiJ3A+PHIHpBkPB6cteAKXN9z9X7tfY97U9p21G/BlvV60ty45IE9oIg4QNa3tu1bGtgjTZvTe5YRtZcR0pq79hW49Zqjub6XzMWrVm6j6XHvHSMBqI2xq5BGv9kbV/PcO4Ct0CQEHtiPBdJnl8hQpwNQcJl/xph8rKd2jDi0nBeMvX52n/RUJCQfKAgIYCeOUKQMBHdO4ytfQ4/R+49hef0wPb8w9/9CWFAK+fPvOwl9y085CxBwqheXbrlu+MzkuZTNM9ypvkL7IkjBAlz38a0vj+b+2Yj2fLeE8D2CBK2x9fuGQQJHyVqf+zchT53k7DGj6Al7c+NZ6sbmdwDLTcw6AVBwjbkrgORJX2P1hvbmvF1Iu1Trhbm9rt1Lc3Nh0FgLwgSPqDlvV3LtgbWaHMLxjW8xBpK6+9gq+tzqzla0v9W872Wa/axZL+SNfuWm0etju2Ype2f5dwF1kaQEHtiPBdJnlshQpwRQcL6f0kwORV6i5adM2qjxMs+p/+dTP0qDeTV7HdaNmojZ9TWlIKE3EpBQgA9c5QgYe69Qctn53PP6JNrvE8AUMcPf8ELwoBWzje98GvvW3jIGYKEubqV9I6xPWk+RfMs5+uenr/AnjhCkDCRq3U134/MUfK9CoBzIUjYHpUygyDhQ0p+zMw9iCm5cLe6SUhM9Te3jbn9TH9rQW4sWo4DsGcECdtRUqPHlvQ912armpiYGuu5baR9iNYZ25LSMQb2giDhA+bO3do61rKtgTXa3ILc8Ry75Po5N05jW45Zyzma6/8ax7pknK/dx5JrcbKUknlUM+45po5LyTbmjukaxxM4KoKE2BPjuUjyvAoR4qz0HCRc+i8RJqe2UxPOSy4J6NX0O7Xfoq+ChDyzgoQAeuYoQcJEdP8wdsk7okty7yY8owf2wZu/4YVhQCvnaz/z0+9beMjRg4Rz7xUH1a51SPMpmmc50/wF9sRRgoQl35C0IGp3bMvvSgDsA0HC9vjaPYMgYflHwSU/ZnJ9bfWDKLed5BRz67bqX25M3cSgFwQJ21JS+wZL+l5S/1vUq5LtTPU3WnbsLa8rg8BeECR8QMt7u5ZtDazR5laUPBBMLqHkWpFseW1uOUdL+t/yeKe2StprsY9zc3iwZt9y7dW0NUdJv+eYW79VH4EzIEiIPTGeiyTPqRAhzkxvQcL09xRYi9atMWo7uaTtXJ/H1oQIB6N2koKE5AMFCQH0zJGChCXvQ2rer1yydvsA2vEz3/myMKCV8zt/3fvd/fJ7H/127MhBwjXfoWOeNI/SfIrmWc40f4E9cZQgYWLtbz7Wbh/APhEkbI870Aw9BwnTj5hc22NLHsSUPNBZ+yYhObeNufWv7dtAbhw81EIvCBK2J+pnZGnfS2rqNTWr5LqQnNrGtTW/hJJtjAX2giDhA+bO4dr60LKtgTXa3IqSmn7NPkXtXdqS1nO09CXRNXM/rTvMqZKxbrWP0bqXlh77XJ+S154bwxjNmdvGXBvX9g84E4KE2BPjuUjyfAoR4uycLUiYAm+R0bJLzQXelmyvJEy4JEQ419eafqZlozZyRm1NKUjIrRQkBNAzRwoSJkqewS95F1LynsXzeWA//Ks3/mgY0Crxba959X0rDzhqkLDkvWdySU1EnjSPovlVYpq/wJ44UpBwrW8+Urtr3WcC2D+ChO3xtXuGnoKE6eJZGx4crLmol7ZfezEvvUnI9XWujZr9nCP1NWp/0I0MekGQsD25Pg+W9r20vSX1sVWgIlrn0tS/2tqalp+7JkwJ7AVBwge0vLdr2dbAGm1uydz+JK85rrnrRuvr8hpzNGonMu1LbfuXY18yf1rtY66dwdL2cvNosHaM0vIlbZeM3Vw7JesDvSBIiD0xnoskz6UQIXrgbEHCWxj1c+ySf5UwmcJ6UZguBQiXhiEv2xorSEg+UJAQQM8cLUhY+s6g5ll6ybP9JIB98T3P+o1hSCvnP//aR79tOGKQsLQWtn7HjYekeRTNr5xp3gJ740hBwkTpvVvpNx9qKgBBwvb4BZ3hDEHCtV3ykWTUTmRqO3ejkC78NWOQa2+urSX7GpG7qSm9OQKOjiDhOuT6nazpe1o2aiMy127qW017JXW3ZH8HU3vX9jF3zQH2giDhA1re27Vsa2CNNrdk7ri22J+o3cHWrDFHc21emq5Hyaltpb9NzaGS8W65j6X7VtpmtG5k2s9cm3PjFFnSx7n2SsYe6AVBQuyJ8VwkeR6FCNELgoR1lvzLgcmlwb+W5voqSEg+UJAQQM8cLUiYKH1nkJx6D7LGs30At+Uf/+HPC4NaOV/9vE+5b+EBRwwS1tSvte21PqZ5FM2vnGneAnvjaEHCRGkdTMul+75LUu1K/z1aJ9J3GsC5ESRsj6/dMwgSzrv0wlvzwGhs2t7YaJk5S34UzbWb/taC3P73+uMN/SFIuB6t+76k5g61ejBaZs60TilL2x8bLXNpWi73AxXYC4KED5g7v9PfamjZ1sAabW7N1D61uG5O1eA1rslrzdFcu60smT+t93FuPo8tYek4pT6MjZaZs3Sf59pOfwPwAEFC7InxXCR5DoUI0ROChOXWhumiNm5lSV8FCckHChIC6JkjBgkTuffqLfVcHtgnP/nXvyUMapX4nqfedd/K0/eDBwsSLnlHuaa173zPQJo/0bwqMc1bYG8cMUiYiGrSWvZY64CeECRsj6/dMwgSTnvtQ5ilH4YudU8fhOb23Q0NekGQcF3m+r+k77e83iypt2v3b+hT7oUHsBcECR8wVxtqa03LtgbWaHNromPbal+m5s0arDlHc223sGTM19jHuTk9WDofbjFOY2v2d24/W8134AwIEmJPjOciyeMrRIjeECQsc0mQLv2LgFFbtzDqz6WChOQDBQkB9MxRg4SJkncG1+qZPLBf/tWb3hQGtUr8ue9/+N7uSEHCW9S9Wpe88z06af5E86rENG+BvXHUIOGtvvnosc4BvSFI2B5fu2cQJHzctL1WF9093iTMjWerh0+5/XZTg14QJFyfqX1Y2vdbXHOuqbVr9W/cJ0FCHAVBwgfM1YXaetOyrYE12twDl/vV8pp5WYfXuh6vPUdz7V9ryfxZYx9L96t0fq89ToO1+3rWcxdojSAh9sR4LpI8tkKE6BFBwrxLQ3TJLcKEaZtRXy4VJCQfKEgIoGeOHCRMzD1Pv1bP44H988RHflgY1sr5hj/1JfctPH0/eJAg4a3ea9a65J3v0UnzJ5pXOdN8BfbIUYOEibVrY481DugRQcL2+No9gyDhQ9N21vhId82bhCUPjObGs9UDqNw+u7FBLwgS3oZoP67p+5rXnRb1r3X/Lmv/ZYDlUmAvCBI+oOW9Xcu2BtZocw9cHt+WrNn2mFvN0dx1Zakl82etfcy1O1jafml7S3TuAusiSIg9MZ6LJI+rECF6RZBw3tJQ3py3ChOmsF9NfwUJyQcKEgLomaMHCRNrPOdf+g4DwG153Re8IAxs5fz7v+mD71t4+n7wAEHCNd9nXmuP9TLNn2he5UzzFdgjRw4SDsx9Y7FE32UAfSFI2B5fu2foPUiY2k4ftt7ix0TLD2iHfi9hbjxb3Xjkfjh62IVeECS8HZf7cm3fU3strz+trzWt+hf1KXe9AvaCIOEDWt7btWxrYI0298Kwb2vsxzBGa16LbzVHE6mtubmwxJJxX3Mfc9fLwZptlLZZYhqfa+bP3PFaY84DR0WQEHtiPBdJHlMhQvSMIGFsCrW1CBEOprZqgnu1LgnhCRKSDxQkBNAzZwgSJlq9C0ltXPP+AsBt+V+/7VvDwFaJ//K7vvOZNo4QJGxR39ayt5qZ5k00n0pM8xXYI2cIEiZaffOx5rdCAPaJIGF7fO2eoacgYWonmS6wW15kr7lRGPp/DXPjmf7WgvTjLGp/0AMv9IIg4W0Z70+rvqc25+pmztSPNWtean9J/+b6lf4WrTMI7AVBwge0vLdr2dbAGm3uheEYr8GabQ/cao6OSW3mrjNzpjmT1i9l7X2cm99ja7dzyzGa4sznLtASQULsifFcJHk8hQjRO4KEj7p2mC21H213qSngtzTwKEhIPlCQEEDPnCVIOJDeCZS+Pxjb6vk+gNvyzp/6yTCwVeIP/aHPfaaNvQcJl9S0W3rtO9+jkeZNNJ9KTPMV2CNnCRIOLP3mI63XW00D8ABBwvb42j3DEYKEZyVd7NNFf+6GYXhIlARwPPYeJDwjqbam+rlG3Rzq8dwDsmGZLX7QDX2b6t9W/QLWYu9BQvRBqrlrker2mRl+D81dV4fr2tnHYgq/GYH9I0iIPZFCSCTrHNfwLU19AXqn1yBhCsal4Fqy5b88WGrabk2Q79IW/RYkJB8oSAigZ84WJBwYP+OP3oX0/g4EOBPf//EfF4a2Svyln//5Q/yLhNgHv/S2t4XzqMQ0T4G9crYg4cD4XnDqfjD93TedAAQJ2yNImEGQEADWQ5BwGzxsB/pAkBAAAGyNICEAHJs/8aJXPlLHt1CIEHjA3oOEPTiECueCfelvW4UeybMrSAigZ84aJATQDz/2F78xDG6V+BPf8iJBQhTzE3/tReE8KvHHvukb71sB9sdZg4QAUIogYXsECTMIEgLAeggSbof/X1qA8yNICAAAtkaQEACOzdZBQiFC4CGChCR7V5AQQM8IEgI4Ov/bT/90GNwq8VWf8nsECVHMP/rkTwznUYlpngJ7RZAQQO8IErZHkDCDICEArIcgIQCshyAhAADYGkFCADg2WwYJhQiBRxEkJNm7goQAekaQEMAZeO3v/4wwvFXii//K33msDgoS4pK3vubV4fwpMc1PYM8IEgLoHUHC9ggSZhAkBID1ECQEgPUQJAQAAFsjSAgAx2arIKEQIfA4goQke1eQEEDPCBICOAP/4ju+PQxwlfjST3neY3VQkBCX/NDnPT+cPyWm+QnsGUFCAL0jSNgeQcIMgoQAsB6ChACwHoKEAABgawQJAeDYbBEkFCIEYgQJSfauICGAnhEkBHAG3vPUu+6+6wPePwxxlfhffsQfeqQOChJizC+8/ofDeVNimpdpfgJ7RpAQQO8IErZHkDCDICEArIcgIQCshyAhAADYGkFCADg2tw4SChEC0wgSkuxdQUIAPSNICOAsvP6L/ngY5Crx83/9Rz9SBwUJMeZ1L/gj4bwp8Ye/8AvuWwH2iyAhgN4RJGyPIGEGQUIAWA9BQgBYD0FCAACwNYKEAHBsbhkkFCIE5hEkJNm7goQAekaQEMBZeMs/eGUY5Cr113zEH/23dVCQEAO/+MYfDedLqWleAntHkBBA7wgStkeQMIMgIQCshyAhAKyHICEAANgaQUIAODa3ChIKEQJ5BAlJ9q4gIYCeESQEcCa+97f+ljDMVeIf/OCP+bd1UJAQA//ki78wnC8lft9zP/q+FWDfCBIC6B1BwvYIEmYQJASA9RAkBID1ECQEAABbI0gIAMfmFkFCIUKgDEFCkr0rSAigZwQJAZyJn/wbfy0MdJX6qz/i85+pg4KESPzrN70pnCel/tTf/Ov3LQH7RpAQQO8IErZHkDCDICEArIcgIQCshyAhAADYGkFCADg2awcJhQiBcgQJSfauICGAnhEkBHA2nnjOs8NQV4lf/EEf+UwdFCRE4gc/57PCeVJimofAURAkBNA7goTtESTMIEgIAOshSAgA6yFICAAAtkaQEACOzZpBQiFCoA5BQpK9K0gIoGcECQGcjR//y98cBrtK/dBnfYYgIe5+5iUvDudHqWkeAkdBkBBA7wgStkeQMIMgIQCshyAhAKyHICEAANgaQUIAODZrBQmFCIF6BAlJ9q4gIYCeESQEcDZ++T3vufueD/2QMNxV4l/6tR9495J/9Mb71tAj7333u++e+KiPCOdHiWn+/fJ7faOI4yBICKB3BAnbI0iYQZAQANZDkBAA1kOQEAAAbI0gIQAcmzWChEKEwDIECUn2riAhgJ4RJARwRt78F74+DHiV+tIXfNF9S+iRN37VV4bzotQf+8ZvuG8JOAaChAB6R5CwPYKEGQQJAWA9BAkBYD0ECQEAwNYIEgLAsWkdJBQiBJYjSEiydwUJAfSMICGAM/Ked77z7rs/+IPCkFepv/iGH7lvDT3x9h/5J+F8KDXNu3/z9PwDjoQgIYDeESRsjyBhBkFCAFgPQUIAWA9BQgAAsDWChABwbFoGCYUIgesQJCTZu4KEAHpGkBDAWfnnX/PVYdCr1Nd+5qfft4SeSMc9mg+lpnkHHA1BQgC9I0jYHkHCDIKEALAegoQAsB6ChAAAYGsECQHg2LQKEgoRAtcjSEiydwUJAfSMICGAs/LuX/zFu+951m8Mw16lvvkbXnjfGnogHe9oHpSa5luad8DRECQE0DuChO0RJMwgSAgA6yFICADrIUgIAAC2RpAQAI5NiyChECHQBkFCkr0rSAigZwQJAZyZn/rWvxUGvmr8ue9/5X1rODPpOEfHv8Y034AjIkgIoHcECdsjSJhBkBAA1kOQEADWQ5AQAABsjSAhAByba4OEQoRAOwQJSfauICGAnhEkBHB2XvPpzwtDX6W+4jnPvvuln/dN75lJxzcd5+j4l5rmGXBUBAkB9I4gYXsECTMIEgLAeggSAsB6CBICAICtESQEgGNzTZBQiBBoiyAhyd4VJATQM4KEAM7O21//+jD4VeMP/cHPuW8NZyQd3+i415jmGXBUBAkB9I4gYXsECTMIEgLAeggSAsB6CBICAICtESQEgGOzNEgoRAi0R5CQZO8KEgLoGUFCAD3wo1/55WH4q8Yf+8ZvuG8NZyId1+h415jmF3BkBAkB9I4gYXsECTMIEgLAeggSAsB6CBICAICtESQEgGOzJEgoRAisgyAhyd4VJATQM4KEAHrgPU+96+6J53x4GAKr8cnv+977FnEG0vGMjnONaV6l+QUcGUFCAL0jSNgeQcIMgoQAsB6ChACwHoKEAABgawQJAeDY1AYJhQiB9RAkJNm7goQAekaQEEAv/PTf+44wCFbjd33gr737hR9+3X2LODLpOKbjGR3nGtO8Ao6OICGA3hEkbI8gYQZBQgBYD0FCAFgPQUIAALA1goQAcGxqgoRChMC6CBKS7F1BQgA9I0gIoCd+4PmfFYbBanz5s591944ff/omEoclHb90HKPjW2OaT8AZECQE0DuChO0RJMwgSAgA6yFICADrIUgIAAC2RpAQAI5NaZBQiBBYH0FCkr0rSAigZwQJAfTEUz/3lruXP/tDw1BYjf/g455799Rb33rfKo5EOm6v/NjfGh7XGlMQMc0n4AwIEgLoHUHC9ggSZhAkBID1ECQEgPUQJAQAAFsjSAgAx6YkSChECNwGQUKSvStICKBnBAkB9MaTr3giDIbV+qrf+0l37323oM2RSMfrVZ/6SeHxrPUt3/uK+1aB4yNICKB3BAnbI0iYQZAQANZDkBAA1kOQEAAAbI0gIQAcm1yQUIgQuB2ChCR7V5AQQM8IEgLokTd93deE4bBaf/BzPvu+RRyBH3j+Z4XHsdY3v/Br71sEzoEgIYDeESRsjyBhBkFCAFgPQUIAWA9BQgAAsDWChABwbOaChEKEwG0RJCTZu4KEAHpGkBBAr/zAZ//+MCRWawoT+pcJ9006Pq1ChD/w/D9w3ypwHgQJAfSOIGF7BAkzCBICwHoIEgLAeggSAgCArREkBIBjMxUkFCIEbo8gIcneFSQE0DOChAB65V1PPnn38g/7zWFYrNZX/d5PunvqrW+9bxl7Ih2XV33qJ4XHrdaXf/iznpk3wNkQJATQO4KE7REkzCBICADrIUgIAOshSAgAALZGkBAAjk0UJBQiBLZBkJBk7woSAugZQUIAPfOzT7w8DIwt8R983HPv3vHjT99cYjek4/HKj31ueLyW+OQrXn7fMnAuBAkB9I4gYXsECTMIEgLAeggSAsB6CBICAICtESQEgGNzGSQUIgS2Q5CQZO8KEgLoGUFCAL3z0i/60jA0tsSXP/tZd7/ww6+7bxlb8vOv+8fPHI/oOC3xTS/82vuWgfMhSAigdwQJ2yNImEGQEADWQ5AQANZDkBD4/7P3N8Dz7Xdd4Elt1Ww5q1tuWbs1U+VO1biuVWPV1M4QNDCbJfIUbqLIxAEFBQMxLgjEhCgQeVCLJT7cSMioPESEOKyDyKOACRAj9wYuYB4Ak0Ag6w2GIInePGDQxNzEe+293/v/nbn96/+3+3vO6c+3zzn9eb2q3gX5/7q/59unu7/dffq8bwOwNEVCgG3bLxIqEcKyFAlFJHsUCYHMFAmB7F7x+rft/sxTPqNaHpuTV33sx+we+smfuBmdJZT9X+6H2v0zJ79071+7GRmukyIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIsG1DkVCJEJanSCgi2aNICGSmSAhkV4qEZe37sv/hD1dLZHPzK9/2rTdb4JLKfq/dH3Pzpq/+ypuR4XopEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhADbVoqESoSwDoqEIpI9ioRAZoqEQHZDkbDkaz/unmqZbG5+/s89f/fh33A+8CWU/Vz2d+1+mJufe96X3IwO102REMhOkTCeImGDIiFAP4qEAP0oEgIAS1MkBNi2+9/8jpv/D1iaIqGIZI8iIZCZIiGQ3X6R8D/7gy/aveTJn1gtlc3Na57+tN17fvqBm63RQ9m/ZT/X9v/cvPbz/+TukYcfvtkCXDdFQiA7RcJ4ioQNioQA/SgSAvSjSAgALE2REAAghiKhiGSPIiGQmSIhkN1+kbDkdzzjL+1+5BlPr5bLzsnbvvVlN1skUtmvtf19Tn7yj3z67uH3vPtmC3D9FAmB7BQJ4ykSNigSAvSjSAjQjyIhALA0RUIAgBiKhCKSPYqEQGaKhEB2h0XCklf+8P27+z75E6ols3Pyhi/6gt37f/EXbrbMOcp+LPuztp/PSbnf//2vvO1mK5CDIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMiuWiR8w9seL5OVX6arlc3OzVtf+pLdox9R0pmj7Ley/2r79dyU+1uJkIwUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHbHioTFw+959+6ffd7nVktn5+b+Z3zq7l2vfMXj22Gcsr/Kfqvtz3Pz2s//k4/f35CRIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMjuVJGweOThh3c/97wvqZbPIvJzz3/u7t8/+ODN1qgp+6fsp9r+i0i5f8v9DFkpEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhAAAMRQJRSR7FAmBzBQJgexaRcLBm77mK6sltKj8wl/+mt1vvvWXb7ZGUfZH2S+1/RWVN331V95sDfJSJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtmNLRIWv3TvX6uW0SLzxhd++e7fvvlNN1vMqdz+sh9q+ycy5f4EFAkBFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHZTioTFg9/yTdVSWnR+/gXP27339a+72WoO73vs9pbbXdsf0Sn3I3CHIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMhuapGw+Df337e771M+oVpQi84/+7zP3f3qd33n7sPve9/N1q9LuV3veOz2ldtZu/3Rue+TP+Hx+w94giIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDIbk6RsPjQQw/tfvbPfnG1rNYrP//nv3T3r1/1Yzcz2LZyO8rtqd3OXin3V7nfgNsUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHZzi4SDB7/lm6qltZ75p3/gKbu3/JWv273npx/YPfrhh29msm6PPPyhx+db5l3mX7tdPVPuJ6BOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGR3bpGweOg19+/uf9onVQtsl8jrnvP5jxfl3vf61+3+06PrODeuzKPM51988zc+Pr/avC+R+x67X8r9AxynSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLKLKBIWD7/n3buffd5zq2W2S+bHfv9H797wRV+we/Bl37x714++cvf+t7xl98gHP3gzyz7K+O//pbc8vr2y3bL9Mo/a/C6Zcn+U+wU4TZEQyE6RMJ4iYYMiIUA/ioQA/SgSAgBLUyQEAIihSCgi2aNICGSmSAhkF1UkHLzzH//Q7jVP/5RqsW3J3P/YnF7/Bc/ZveWvvmj3q9/593fv+pFX7h76ift373vD63fvf8sv7j7w9rfvHn73Q7tHPvCB3aOPPvr4/y3/u/x7+ft7X/+63UOvue/x65Xrl3HKeGXc2vaWTJlTuR+AcRQJgewUCeMpEjbUioRv/fX37R559D+JiMiZed7L7i4SfujDj1QvKyIi0/I/ft3dRcLa5URERER6RZEQACBG7WSh7/mlh3c/9LZHRURS5P/+Z/7erTWwnDz0Hx95VEQkRd7/gYdvrYElX/bt91UvKyJyjfmh1z541zr4w697sHrZsXn4gx/cveXr762W3KRvyn4v+792v4hIPX/+23/8rnXwNz/4cPWyIiLXmN/3fEXCaIqEDc980Q/cetCJiIiIiIiIiIjI9Pyu53zzzRE3AACmePILbn9JLiIiIiIiIiLn57952pft/trHfnK18CaxKfu57O/a/SAiIiIyJb/1M15y8+0JcykSNigSioiIiIiIiIiInB9FQgCAeRQJRURERERERPrlGZ/wnN0/fNLHVAtwcl7Kfi37t7bfRUREROZEkfB8ioQNz/y6768++ERERERERERERGR8FAkBAOZRJBQRERERERHpm9/2jK/dPevj//juB5700dVCnEzL93/0Rz++P8t+re1vERERkblRJDyfImGDIqGIiIiIiIiIiMj5USQEAJhHkVBERERERETkMvnPn/F1u89+6ufsvutJv69akJPTKfut7L/f8th+rO1fERERkXOjSHg+RcKGl/yj19/1wHvWN7xi97y/82oRETkz//2ffflda+xzv+WfVC8rIiLT8rv/9Mtura+/7TNfUr2ciIiISK/875/54lvvR57xl7775ogbAABT/Jlv/LFb76tK/tC9r9p9+t94tYhIivyfPvtv3VoD/4vP/VvVz6EiIteYL/rmV91aA0s+5vl/r3pZEZFrzKf/f77vrnXw07/u+6qXjczzX/ZPdi/94q/e/cD/6+OrhTm5nbKfyv4q+622P0Vkfp702Hu/w3Xwix97j1i7rIjINea/+JzbxwZ/93NedvPtCXMpEja89AffcOtBV/Lgu37j5q8AnOP5j724H66xH/mPj978FYBzPPNFt39Z+3c+6xtv/gIAcBm//Y99w633I5/79T988xcAAKb48pffd+t9Vcn3v/Uju1f8y52ISIr8ni+6/cusT37Bd9yskADX7wMf+sitNbDkK15+/81fAa7fK17/trvWwVe+4W03f72Md3z3d+1+8pmfVi3QZU/ZL2X/AP3Ujg1+8OGP3PwV4Pr9/i91bDCaImGDIiFAP4qEAP0oEgIAS1MkBACIoUgoItmjSAhkpkgIZLeGIuHg3T/1wO5NX/NVu1c9+UnVUl2WlNv/5r/41Y/vD6A/RUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZDdmoqEg0ce/tDu13/oB3dv+OIvrBbtrjVv+KIvfOx2/6Pdox9++GZPAJegSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLJbY5Fw33945zt3v/Lyb9v99Gd9ZrV8t/X81GO361++/Nsfu52/fnOLgUtTJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtmtvUi474O/9o7dv/qB79u98ateuLv/nk+uFvPWnjLvN331X3j8dpTbAyxPkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGS3pSLhoX/34IO7d/zDf7D751/2gt2Pf+LHV4t7S6fMq8yvzLPMF1gfRUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZDdlouEh/7dW395964f+9Hd2771ZY//auHPfM5n7179lI+rFvyi8+qnfOzj2yvbLdsv8yjzAdZPkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGR3TUXCYz700EO7973+dbtf+97v3r31G75+94sv+trdG7/yK3Y/+7zn7l73p5+9+5k/8Vm7n3zmp+3ue9onPV4IHIqB5X+Xfy9/L5crly/XK9cv47zje7778XHL+MB2KRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHsMhQJAU5RJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtkpEgLZKRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdoqEQHaKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIDtFQiA7RUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZCdIiGQnSIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDITpEQyE6REMhOkTCeImGDIiFAP4qEAP0oEgIAS1MkBACIoUgoItmjSAhkpkgIZKdICGSnSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjKdI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZKRIC2SkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7BQJgewUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQnSIhkJ0iIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGSnSAhkp0gIZKdIGE+RsEGREKAfRUKAfhQJAYClKRICAMRQJBSR7FEkBDJTJASyUyQEslMkBLJTJIynSNigSAjQjyIhQD+KhADA0hQJAQBiKBKKSPYoEgKZKRIC2SkSAtkpEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhAAAMRQJRSR7FAmBzBQJgewUCYHsFAmB7BQJ4ykSNigSAvSjSAjQjyIhALA0RUIAgBiKhCKSPYqEQGaKhEB2ioRAdoqEQHaKhPEUCRsUCQH6USQE6EeREABYmiIhAEAMRUIRyR5FQiAzRUIgO0VCIDtFQiA7RcJ4ioQNioQA/SgSAvSjSAgALE2REAAghiKhiGSPIiGQmSIhkJ0iIZCdIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMhOkRDITpEQyE6RMJ4iYYMiIUA/ioQA/SgSAgBLUyQEAIihSCgi2aNICGSmSAhkp0gIZKdICGSnSBhPkbBBkRCgH0VCgH62UCT8qI/6qKO59957by51Wrlc7fpDAIDlKBICAMRQJBSR7FEkBDJTJASyUyQEslMkBLJTJIznzNoGRUKAfhQJAfpRJLwTAGA5ioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeM5s7ZBkRCgH0VCgH4UCe8EAFiOIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwnjOrG1QJAToR5EQoB9FwjsBAJajSAgAEEORUESyR5EQyEyREMhOkRDITpEQyE6RMJ4zaxsUCQH6USQE6EeR8E4AgOUoEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjOfM2gZFQoB+FAkB+lEkvBMAYDmKhAAAMRQJRSR7FAmBzBQJgewUCYHsFAmB7BQJ4zmztkGREKAfRUKAfhQJ7wQAWI4iIQBADEVCEckeRUIgM0VCIDtFQiA7RUIgO0XCeM6sbbiGImE5ufqBBx64+V/rds8999z8f0AGioQA/SgS3gkAsBxFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8ZxZ23AtRcKxJ2IvzcnekIsiIUA/ioR3AgAsR5EQACCGIqGIZM+1FgnLfxC6HOMu/8Hl2vHt8u9bOt8D6EOREMjumouEw3vBY+8Hh/eCW/khEaAPRUIgO0XCeM6sbbiGIuHwIWPtygeeMk8feiCPLRQJh7VpToYDPSUO7ACXpkh4JwDAchQJAQBibLlIWDtes58nPfWe6vV658Xf80B1PvtZam4icneuqUg4lAdr604r5TtHIB9FQiC7aysSlveCwzm9U+O8M8jpGoqEZf2qrWtjAqBIGM/q2nANRcLhhXTtHyKGD0djTxoHtu/ai4SnMpQLAXpRJLwTAGA5ioQAADG2WiQcU9YrqV23d579wvaxf0VCkfXkWoqEUd87+o4RclEkBLK7liJhOX93boFwP2UMhULI5RqKhLX1bGwAFAnjWV0brqlIuOYX0/0D5g56Qx6Zi4T7KQd4AKIpEt4JALAcRUIAgBjXXiRcorBXm0ctteuKyOWz9SJh1Enj+/H9IuShSAhkdw1Fwh7nnykTQh5bLxKeuwYCKBLGs7o2bL1IePjiu9YPD4cHzYEcFAlvp2wLIIoi4Z0AAMtRJAQAiLHVIuGYX/0bUrt+r6x1XiJyPFsuEpZzNGrrS1ScQA7XT5EQyG7rRcLo/6DEfvzHJSCHLRcJIz4TAygSxrO6NlxbkXCNHxxqbxKAHBQJ744DPEAURcI7AQCWo0gIABBjq0XC8kuDteM1tZRyX22MHqlt/1jKryrWxhCRy2arRcLeJcIhyoRw3RQJgey2XCTsWSIc4lwzuH5bLhJGrIMAioTxrK4NWy8S1l6A13YQeQtzBPpQJKzHAR4ggiLhnQAAy1EkBACIsdUiYe1YzbGU0mFtjOiUYmBt+8dyyYKjiBzPFouEc0qE5TvC/dQucyzOsYDrpUgIZLfVIuHU93PnvBcslweu11aLhHM+F9cCoEgYz+rasPUiYe0FdexJ2ZeyhTkCfSgSHo8DPMC5FAnvBABYjiIhAECMDEXCktoY0SnFwNq2j0WRUGQd2WKRcOzJ3+UY96kS4NjvKn23CNdLkRDIbotFwrHlmfIe7tS5EWWcse8r/Ycl4HptsUgYVSIsAVAkjGd1bbjGImHJWhw76H3qwxFwPa6hSHjsIEz595Jy/ZKxB3X2Yy0EzqFIeCcAwHIUCQEAYmyxSDj1l/9KLlHaq233VC71S4kicjpbKxKO+V5wavGvx5jANigSAtltrUg4tjxz7Jyzmh5jAtux1V8kHMu5X0CLImE8q2vDlouEp15Y11JOqc1tCHD9rrlIeEwZb0qpEGAuRcI7AQCWo0gIABAjS5Gwd2lvjXMSkXHZUpFwzEnecwt/Y75jdPI4XB9FQiC7rRUJe71n6/k+E1g3RUIgO0XCeFbXhmstEpYszQv/ceUD3bHM+RBZG2eILxJYUsYi4aBcrzwHa2Pup1wGYA5FwjsBAJajSAgAEGOLRcLy64K1YzWtlLJfbbyIzJ1TbaxrTtlPpUA5NrUxauk1ruTIloqEtXVkP+d+99f6ftF3i3B9FAmB7LZUJGydv1Byzvma5bq1MffjfFC4PoqEQHaKhPGsrg1bLhK2DiAv/YFh7fNb0ql9M+fAf/R4ECVzkXDQWgtLAOZQJLwTAGA5ioQAADEyFQl7Fshq2xuT2ljXnKn3XW2MWnqNKzmylSJh68TuqO/mW98vjj2+DmyDIiGQ3ZaKhK33aRHnxLbec5YA10WREMhOkTCe1bVhy0XC2ovpfpYskI35MJP54PapD5Rz7rfo8SCKIuEdp56jJb7sA+ZQJLwTAGA5ioQAADG2WCSsHacZm9p456b80mFtW2PS81cS1xhFQlljtlIkrD2W9xPxvWLROt/COQBwXRQJgey2UiRsnbsQ+R6tda5Z1PtOYB0UCYHsFAnjWV0brrlIWLLUB4bWB5mSzMWZU/tnzgfK6PEgiiLhE2pjD/E8BeZQJLwTAGA5ioQAADGyFQlL4aw25jmZWmLbT4/5rDmKhLLGbKFI2Cr3RZ//cOocgJLM51vAtVEkBLLbSpGw9f4sUuu9ZwlwPRQJgewUCeNZXRu2WiRsvagOWergcW0uh8lcnDn1oXLOfokeD6IoEj7BhyEgmiLhnQAAy1EkBACIsbUi4Tm//lfypKfeUx33nNS2MzaKhKdTG6MWRUI5J1soEtYex/vpobadIc4DgOuhSAhkt4UiYeu8hbHnP0zR2uZSPzICxFMkBLJTJIxndW249iJhyaU/MJwqtR0mq+jiX/R4EEWR8Lba+EN6HFACrpsi4Z0AAMtRJAQAiJGtSFhSG3du1lhsXHMUCWWNWXuRsPWLML2+53N8HHJQJASy20KRsHVObC+1bQ1xrhlcD0VCIDtFwnhW14atFglbH0z2c+kPDLU5HEvW/ypKdPEvejyIokh426nnqoM7wFSKhHcCACxHkRAAIMbWioRTC2O1lDFqY89JKQLWtjE2ioSnUxujFkVCOSdrLxJe8vvEQ7XtDfH9IlwHRUIguy0UCWvvxYb0PD/T+RKQgyIhkJ0iYTyra0OGImHJpbRe7A+jSHh35nywjB4PoigS3ua5CkRSJLwTAGA5ioQAADEyFgmjynsRv45YUhv7WqNIKGvM2ouEtcfwkN7f8fl+Ea6fIiGQ3dqLhJc8t+xQGbu2zSFZz7+Fa6NICGSnSBjP6tqw1SJh7YX0VC71geHUQexaxp5Afm2iD/b78oC1UiS87dS2PFeBqRQJ7wQAWI4iIQBAjK0VCWvHaOaklABr409JRKmxpDb2tUaRUNaYNRcJlz552zFyuH6KhEB2ay8SLn1uZm27Q8aedwGsmyIhkJ0iYTyra8MWi4StA9XH0lvrhb6WrMWZ6A+XS39YhWMUCW87tS3PVWAqRcI7AQCWo0gIABAja5Ew4lcJa+POSSnB1ca/xigSyhqz5iLhJb9LPKa23SFjj7UD66VICGS39iJh7T3YkEuc7+WcCbh+ioRAdoqE8ayuDVssErZeUI+l9wHsU2W2U8kouvgXPR5EUSS87dS2PFeBqRQJ7wQAWI4iIQBAjC0VCcuvCNaO0cxNbRtjEzkXRcLjqY1RiyKhnJM1FwlPfRdfcgnOB4DrpkgIZLfmImHrRz/GnvdwjtYcLvEftgD6UiQEslMkjGd1bdhikbB1oPpYen9oqW1zTDJ+kIk+0O+LA9ZKkfC2U9u6xIEl4LooEt4JALAcRUIAgBiZi4TnFPimFtdOJeLXEbcSRUJZY9ZcJKw9fodc6vs9x8nhuikSAtmtuUi4lvdhtW0PudR7UqAfRUIgO0XCeFbXhkxFwpJepb1Wka3270MUCW9nTvEvejyIokh4W238IQ7qAFMpEt4JALAcRUIAgBhbKhJGlvdKzinw1cabG0XC46mNUYsioZyTtRYJy/eEtcfvkEud6+A4OVw3RUIguzUXCddyXmZt+0Occwbbp0gIZKdIGM/q2rDFImHtRXRI68W214eG2raGlG2emlevOa1Z9AfMtXxghUOKhE9YyxeNwPVQJLyTzMq+8foBwJIUCQEAYmQuEpbUttNK9C8jltS2c27KPMs+K0XFw+2Vfyspf69dt1cUCWWNUSRsq21/SMZzLuCaKBIC2SkStjlvAq6bIiGQnSJhPKtrw9aKhK0D1cWlX3DHbO/UZXp/oCr7rGz/2BzK9oe/X0r0B8zo8SCKIuETWtuJVuY9rH/H1ojy7yWXXP9OOTXfJee69n25xfuaGIqEdzLG8PyoPUeG50Z5Hm2N5zUAS1MkBACIsaUi4eGxlYjMKdJNLa2NSW07czKUB2vbOJXaryJOLUyWyx+O0WNf9c7hbZDrz1qLhBHHp6PUtj/EcWLYNkVCILs1Fwlr772GXPI92JrelwLxFAmB7BQJ41ldG7ZWJDz1YlpOJC7KSdC1vw+J/gBT28aQsXPqoWyzdrJ4K6f2z9w3M3PmcSw9xoNeFAmfUBt7SOS63Lo9p1LWlnPn0lrva/tzzpzLXKPum2OW3pcta58f/SkS3skx57wXnLq+1MbZT4/n2/5620Nr35W/A4AiIQBAjOxFwlqBrpXaOOemVsKbmojS3v7+UCSULFlrkfDUcdJLHyNd01yAWIqEQHZrLRLufydfS+/zlvataS5APEVCIDtFwnhW14atFQnHHhw+dbmSKGNf3C/5QaaM1br9Y1Kb09w3MxHzGdJjPOhFkfCO1nM2YhtljNrYc1LmO3dOrXnsjxsx5zLXaGvZl8esfX5cjiLhndS01t0xmbK+tOZYEm3/No7dl1Psz70WawcAhSIhAECMrRQJp5baSiGu9u+1lLJbbZu1jJ3H1ALdlDkcpsxpyu1tpYxVxpy6z8vlD+emSChbyFqLhLXH55Aex2VPOXXce8rxbGB9FAmB7NZaJJxzrkIvrXOFfH8P26ZICGSnSBjP6tpwTUXC/QPVl/rgMOVgde0yQ6Lm03qzMTWHt2Hum5lT+2lqeowHvSgSjnu+nityTdjP4Ro4xtjXn9blpmTOPI9Z076sWfv8uCxFwjvZF7m2DBn7OlC77n7GjjPW4fiRWmuNNQOAgSIhAECMay0STrn8lF8lHFuMK5et/fuxzC0STt0vUzK1BKhIKFuNImHb3HMVgPVTJASyUyQcpzaHIZd+bwrEUiQEslMkjGd1bdhakbD2Ajrk8MNA7TJDIk7+bZ2ofXiy9KkTkiM+yLROeJ6b/X01981M5Nx6jAe9ZC4SluuNea6eUyxprcMR2V8Dx2jNqfy9x7ynzvPQGvflvrXPj2UoEt7JoOfzpIzd0ppnSZTatsbMcazDsQ8TuS0Atk2REAAgxlaKhFMLaeU6U36l73B7tYwt7Q2lwNrfjmVKmXFIzxLhnCgSylajSNg29lg5sD2KhEB2ioTj1OYw5NLvTYFYioRAdoqE8ayuDVsqErZOjj7UeuE99wTgUwWZWhnh1HzOLS+cmktEhvnNfTMTOb8e40EvGYuE5fJjn6PD2jJH6zUhMlPm2ZpXz3lPva8Ga92Xg7XPj+UoEt5JcYnnyZg1pna9/cxdpw7Vxo56/rb2t3UCgH2KhAAAMa65SDjlOkP571TGjjcU6qYUGacWCddWIixRJJStZo1FwtZx56jjvWPNPVcBWD9FQiC7tRYJy3fjtfddJUt8b16bx5Cx518A66RICGSnSBjP6tqwpSLhnBfS2uWGnPvhoTbmkNrYvd4ItMY9lvJhbj+1y+ynbGfubRgz/tj0GA96ueYiYfn3IWWMOc/Lc0zd3rCGDSnXnzJGuewYZX/Urj82w7ymzq9k7BwPTd3OpfblYO3zYzmKhHdS1P59P8PzYD+1y7Vy7DVh0Jpr2e65Tm2jNb8xauPuJ2IbAFwPRUIAgBhbKRLOLeXV/l7LmCJf7Xq1DJefMueS/W21MnXsS0SRULYaRcK2tc0HiKNICGSnSDjO2uYDxFEkBLJTJIxndW3YUpFwzgeBXi++c8btcWC7NeZ+yj5qbaPcrtZ+rv37kGNa15uSHuNBL9dQJOyVc77MGzvnMeteMXa8MWNNWZeHlO23jF33xoy1b837slj7/FiWIuGdHFsfyr+3tlEe62OfF0Naz4/adfZz7vPr1Ho4dp8eM2ZfA8A+RUIAgBhbKRLWjhccy/6vC04p3O1v7zBjfwFwf9tTS3T72zuVNf4aYYkioWw1ioRta5sPEEeREMhOkXCctc0HiKNICGSnSBjP6tpw7UXC1sHkuScb18YacmrM2uWHzDmwXRunljljn9rfxzJW9Ie66PEgiiJhPed8kdda14dM3Ua5fGvdG7OejJ1fydT1aczYU8a8ln251PxYniLh8cx5jzv2Odd6frTmO2dugzFzPEdrbZi63gBw/RQJAQBibKFIOLU4N7fMt3+9w4wdZ79MN7VEVyvi1VK77hqiSChbjSJh29rmA8RRJASyUyQcZ23zAeIoEgLZKRLGs7o2bKlIWHvxHHLqhOToF+BzxqtdfsjUk6pb8yg59wPSqQ9ftYwV/aEuejyIokh4O+X5eO6XeKee70PO2UZr/NZa3foSc8jctWnM+GOtfV+ufX4sT5GwnnOeF2PXsNY2atfZz9w5jlkX5j53W/u5bBsADikSAgDEuMYi4WGhrXaZWsqvF+5fbz+1y9eyf52p8z5VZBxybjGvXL+kzK1k+N9TfrnxWA73e0n5tzL2kNr1TmX/uqdSu+6p1MYYcngb5PqjSNi2tvkAcRQJgewUCcdZ23yAOIqEQHaKhPGsrg1bKRKec1A4+oDyOR9Ioj7MtG5TSdSHo1NzPsxYUfthED0eRFEkfCJT19qaMWtfxHZq4w5prSlj5lhyzjxPrXklY6x9X659fqyDIuHdiXhejHn+lZzSmvPY236oNlYtc7TW1oh9C8D1USQEAIixhSLh1PLcYaGtlMNql6ulbGv/uiVlvNplD1O7bu1yx1K7/mFq1xuTMnat6Lefqfv5MK3xS6ZuozZGLb3GlRxRJGxb23yAOIqEQHaKhOOsbT5AHEVCIDtFwnhW14atFAnPfRGtXWfIlA8RrYPTLVFvBlrjlEQ69SFsP2NFf6iLHg+iKBLG/qpba65R22pt55TW60TJufOM2A8RY4zR2s4xa58f66BIeDuRJ0mMWcta26tdZz9Tjd0PJVP3Rev2ej8JwDGKhAAAMa6xSFgbo3a5Wmq/SDd2+7UiXe1yx9L6NbyxhcbDjCn47WdK8XI/ioSy1ayxSFjUHrtDor6rGat1HHfqcWFgPRQJgezWWiRc2zk1zhGF66VICGSnSBjP6tqwlSLhqQ8BJS1RB5XP/TASNY/adffT4yB5bTuHGSv6Q130eBAlY5GwjFeyxDoUae660lrnSyL2TW3cIWX/t9Sut59Ic/Zl7bL7iTT3vmZ5ioRPpMdjtbXd1vzPvf6h2hjHMnV/nFoHSqbOFYA8FAkBAGJsoUg4tdh27hiH161dppbD6025bkmrSDi1LFcytUQ4pDZWK4qEstUoEra1jjkD26VICGSnSDhObQ5DfKcP26ZICGSnSBjP6tpwDUXCsScK1647ZOwHidp1h4wZo1UwGVMuaY3R40TyonWCdclYEffnvujxIMo1FAnL34eMWQciSnI1rbVvzBo8xan9cmpdac2zJEJt3CGtfbH2fbmV+5rlKRI+kV5q29rPKZHr4Zh9cJiy/TFa87QOAHCKIiEAQIwtFAlrxw2O5VgZb0rRrFx2uN7YXwHcv85+IkqQQ2qXP5VWMfFUxt7u/SgSylajSNjWOk4MbJciIZCdIuE4tTkMufR7UyCWIiGQnSJhPKtrw1aKhLUXziFjPwS0XohbJxufKtBMOcG4dv0hY27LubfjHLXt7WesqH05iB4PolxDkfBwTTn1fBvSQ2uePdS2M+SYViFlzDo/xjnr3tr35Vbua5anSHgnPd/rtLbdet957vUHY157DjN2/7bGHjsOADkpEgIAxFh7kXBqoe1Yoa+kdvla9gt4Ywtqx0p0UUXCOcW+2jhTMnXuioSy1ay1SHjO91HRWsebge1SJASyW2uRsHUO1Njv+6PU5jDE9/qwbYqEQHaKhPGsrg2ZioRF7fpDWuPUrjPkUnMoWic79xS17egvHKLHgyjXWCQsapfbT4/n3anneUkPte0MOXYwrHUQbcrrxSnnrHtr35dbua9ZniLhnUStKzXnrmmt65e0nBojYr2oXW9Iaz0FAEVCAIAYmYqEU4pxw3Vqf6tlfzv7mVpwO1bGmzrOqf0wJbWxj0WRULYaRcK2Nc0FiKVICGSnSNi2prkA8RQJgewUCeNZXRu2UCRsvYBO+RAw98U48kX83LFq1xnS+wB51H6IPsjvSwPW6lqLhK2DMyVl3Ei1beynPNejU9vOkGO3r7VvovbLqfmVv51Su85+9vdBVGrbGXK4T2qX2U9t/HNT286Q6McycRQJ76S32jaHjLkNrfm33sufeo6W655ad88Zu8TzH4AWRUIAgBhrLxJGFfFKpoxVLju2xFguW9teydT5Hxurx68DjsmU7SoSylaz1iLh0sen99W2P8SxXNg2RUIgu7UWCYvae68hl3wPtqb3pUA8RUIgO0XCeFbXhmsoEk7RKngcO9n41EnGUz8QnXt7atcZMnUuU0XdF6f2Z/nbVNHjQZRrLRIWp553Q1oFjilq4y+ZY+vt3NeZqc5Z92rXWTKH+7J2mSXT+7WV+RQJL/M+55z1pmiti3PXrP3r1f4+5JTa5YdcYt8CsH2KhAAAMTIVCUtq1zk3p7Y5tow4JKpIWBtjTqbsf0VC2WoUCU+71PdvwDIUCYHsFAnbzj1vAVg3RUIgO0XCeFbXhi0UCaM/BEx9QY5+AT/nIPfSB8hb2x8r+j6NHg+iXHORsKhdfj9Rz7/W2rNEjt22S63Tc9e9te/LLd3XLE+R8DKPz4j3wnNfa05db3//nbrcnLFL9scHgGMUCQEAYqy9SBhdoJs6XivHin/7qV3vWMr8zh1jzJzGZkoRUpFQtpq1FgmL2uN3yKWOo7a+Pzp2HBjYBkVCILs1Fwlb36tfytzzpIBtUCQEslMkjGd1bdhCkbD2ojlkzoeAqQeZoz+EtLZ/6mD7Gg6Q17Y7ZKzofRo9HkS59iJha00qiXgOjtnOpXPsdl1qnZ677q19X27pvmZ5ioSXOUmj9ToxRuu5fex5VrvskH2nxj+2j2qXHeJ5D8BYioQAADHWXiSsHT84ldoY+5laOGtlTHmudr1jWVuRsKS2jVoUCWWr2WqR8FLHUiOOUwPrpUgIZLflImHUeVAttW0PucR5E0BfioRAdoqE8ayuDVsvEs79EFAba8jhmLXLDJn7Qag21pBTt6l1EvYlPpjVtjtkrPKFQu36JXO+bIgeD6Jce5GwOPX8G3Lu2tRa+5bIsbXlUuv03HVv7ftyS/c1y1MkvMwB8dbrxFhTX2+m3u5Tl58ydkltfACoUSQEAIix5iLhlF/DKzlWwjtM7bpzUxv/MLXrncq5YygStlMbQ/JmzUXCud9JRapte4jjubB9ioRAdmsuErbO4zn8Lr6H1vf7wPYpEgLZKRLGs7o2rL1I2Osk37EfcHodFD81bskxa/hgVtvukLGi92uv+wnOlaFIWLTWtJJztNa+JXJsbbnUOj133Vv7vtzSfc3yFAkvc4JE63VirNbz+/C2nFrnak6NP2Vsz3kAplAkBACIcU1FwrEFulI4rF1/anptrzZG7XLHElkknHIfKBLKVrPmImHUMeK5ph5bBrZHkRDIbs1FwqL2HmzIJd6Lnfp+vwTYPkVCIDtFwnhW14atFwnPURtvyPABp/a3Ied8CDrndtUuP+ScOY3ROkg/VvTJ204GZ62yFAlba0PJOc/F1vhj5ngpl5rr3HVv7fty7fNjXRQJL/M+Z+56UzP2NefUWnBqm7XLDxm05jD2fgGAQpEQACDGmouEU8thYwt0U8c9ljHFuZKpRcLauFPGGPvLjGOiSCgZsuYiYVF7DA/pfUx17HFlYLsUCYHs1l4kbL0f6622zSGXOGcC6E+REMhOkTCe1bVh7UXCUycul5yj9cIcedL0oXMOdtcuP6SM29Opk7pLxoretz3vKzhHliJh0Rqn5Jw1qjbekN5r3xStdTLqy8xz1r3adYasYV/W5jVkTfc1y1MkvJPeIt9ntdbIYZ+c2uYpp8Yf1t/I2wMAioQAADGuqUg4tthXUrv+1NTGrWXq7SiXPxxjqSLhlLkrEspWs/Yi4ZLHVWvb3A+wfYqEQHZrLxJe6lyomtb5Es4jguugSAhkp0gYz+rasPYiYe0Fc0jEAenauGNy7geQsSdR1yx5kD7qzUz0bVhyn8ApmYqExann4pC5B49qYw05d02OdKmDZ+ese7XrDFnDvqzNa8ia7muWp0h4J73VtjlkzvusMben9u8lY7ZXu96Qc96DA0CNIiEAQIw1FwkjfsnvWKaOfZha2e9YppbcamNPne/h9eemNvaxKBLKVrP2ImHruG7U91+HHNOFHBQJgezWXiQsau/Fhsw5b2CsU+dHlQDXQZEQyE6RMJ7VtSF7kbD14nwsEWrjDjl1wHvJD0e17e1nrFO3Yc79Gj0eRMlWJCxqYxxmjq08z1tfaEZ9kXrO/lj7vlz7/FgPRcI76XWCRtHjJI3WmKcyZnun9pf1BYBoioQAADHWXCSsHUc4ldoYxzK1eHaYKaXFctnaGMdS+0XBiDLi1EydtyKhbDVrLxIWtcfxkF7HV5c8Pg5cjiIhkN0WioRLvS+rbWuI7/jheigSAtkpEsazujasuUjYeuEsfz/XnBOZoz6A1MbezzGX2C81Y/bVWNEncUePB1EyFgnHrBXRz/OStWjd/qn785hz1r2178ut3NcsT5HwTnq99yt6PR9bt6mW1tq2r3b9VnruRwCulyIhAECMrEXCktoYY1Mb71RqYxxLrUg4tdRXcjjG1PT4RUhFQlljtlAkvPT3N63v3KYcMwbWTZEQyG4LRcLWe7Me37e33n9GnYMFLE+REMhOkTCe1bVhy0XCS5QxaolyzoH22uWH9DpgPuaE77FO3fY5848eD6JkLBIWp56TQ6YeQGrNc+p4Y5XbMmXs1oGzS7x2tda9te/Ltc+P9VAkfCK9DpDXtrWfuVprZS1Tnp9j9tl+WusmAByjSAgAEGOtRcKIX/FrZWpRbsicX/urjXMqEWPM2SdD5hQXFQllq9lCkbB13DX6OGsZr7adIb2OiwOXp0gIZLeFImFRe0+2n8j3Z61zCnzHD9dFkRDITpEwntW1Yc1FwtaB4ShTTmSO/ADSemNw6oPVpQ+aj91HY52a/5x9HD0eRMlaJCxqYx1m6ti1MfYTbX/flLVkzHxb6+Xc/Xno3HWvdr39RJu6L/fnUku0Ofc1y1MkfCJjnvdTnVpnSs7d5pjbtZ8pWmvxYcbeFwBwSJEQACDGWouEU4thc8p9U7cxZExh7jBTS4sRY5TMmWtJbaxWFAllq9lCkbBoHTeO+n5lzDFe4HooEgLZbaVI2HqPFnneQut9p+/44booEgLZKRLGs7o2rLlIWHux3E+k2vi1RH4AaX2wOrWt1puKkkitD2ZDxjo13pwPlNHjQZTMRcIxX/BNfX6eeq6XRD7fj82/tY3W7Z67Pw+d2hdj9sPa9+Xa58c6KBLeTtT6UrTWspJzjdnGkLH7al9rHRniuQ7AORQJAQBiZC4SltTGaqU2TitTS4C1Ut4lio/lsnN/qVGRULaarRQJL3WeQm3c/UQeDweWp0gIZLeVImFRe2+2nznf7R9qvef0HT9cH0VCIDtFwnhW14atFgmjPwyMOZH50ttsfaiqXWc/UfMt49TGr2WsU2POmXf0eBAlc5GwGLN+THmOjlmrI744HLOdY2t067oR8yvOXffWvi/XPj/WQZHw7lzqeRH1/mrsbZtjzO0o8RwH4ByKhAAAMdZaJIwo3o3J1O3MLSxGbWduya9crzbefso+rF13bBQJZavZSpGwaH3/d+7x497jA+ujSAhkt6Ui4Zjv4c85b6H3+MA6KRIC2SkSxrO6Nqy1SNh60exxwm9tO/tZYpuntPZRSe+D9IcZ69S4c+YcPR5EyV4kLMasI1O2ET3eoTEHpEqObaN1/XPmti9i3Vv7vlz7/FieImE95z4vej/39o15Ho5d02pq4x0GAM6hSAgAEGOtRcLasYRTmVsknFpAu9R2jhUJp45zmFIoLGOU2zHk3DGHjNk3U7dVG6OWXuNKjmypSNjruO6lj08D66FICGS3pSJh0es92yXOhwXWSZEQyE6RMJ7VtUGR8AlLvFDXtrOfljEfysplpn4wG3uQ/jBjnRp7zoe96PEgiiLhuC8TS8YaO96c535rXww5tU9a8zt3fw4i1r2t78shS82P5SkSHs+cx+7Y7cx5zp1yaj0rOed52LpNY+8DADhGkRAAIMa1FAlrY4xNbbxjqV1/TKYW3U79guDcXyXsHUVC2Wq2VCQsWsd1h4w9vjv2OyHHdOE6KRIC2W2tSDj2vduUcwvGvr8ErpMiIZCdImE8q2vDWouEPU8oPqW2rZJeB6TPvZ1jP5SVlG21bkcZ79QbltZ8xzo1TvnbVNHjQRRFwjta2yiZ8lwdM96Qc9e9w7Tm2VqXI/ZnEbXurXlfFmufH8tSJGynXLe17pTLnFpTDhPt1LoZ8TysjTsEAM6lSAgAEGONRcJSSKsdTziV2jhjM7aYN6YodyxTb9OpIuHU0tylokgoW83WioTF2OPK5XK14+G+twEGioRAdlsrEhanvuc/zLHzFqaeq9A69wHYLkVCIDtFwnhW14a1FglrL5T76eXYi3UvrTcH5e8tUz5MDSnX2U/tMocpl4t6M3Nqm+VvU0WPB1EUCZ9w6nk6ZMyaNxgz3mHKdfZTu8yplOu0tA6UXWJ/jpnnvrn7Yj+1y5xKuc5Yc8ffT+0yp1Kuw/opEt5Ja90Zcu7zoqTXgflj85nyunDMsf0XMTYAKBICAMRYY5FwainsVOluTMZur3bdKamNeSq1MYas8VcJFQllq9likbCoPbZ7pdfxaWB5ioRAdlssEhatcxkiU84pAK6XIiGQnSJhPKtrwxaLhD0/FNROxL709vYz9gTnuSeDj82wD6LezJya75z9HT0eRFEkvK02/mGmbO/Ucz86Y9eS1roetT+j17017st9a58fy1AkvJOitfZEJPL14FBt/lHPxWP7BgAiKBICAMS4hiJhuXxtnCmpjbufS2zjMK1i3trKhIqEstVstUh4iWPTJT2PTwPLUyQEsttqkbC4xPk8zuOB66dICGSnSBjP6tqwxiJh6wWz9weDww83lz5p+jBj9fpQtr+/o97MnJrrnPs3ejyIokh425g1b+pz9tTzPypT5tS6jVH7s8e6t7Z9eWjt8+PyFAnvZDBmjZ2byNeCYw6f42P3zxiH+zBybAByUyQEAIixxiLh1IJcRMmvtc0xJblWom9XmVPtektFkVC2mq0WCYuex6ZLLnF8GliWIiGQ3ZaLhEXP83mcxwM5KBIC2SkSxrO6NmyxSNj7xN/9A92X+CCyf9tqmaK176bm8PZHvZk59eFxzj6PHg+iKBLe7dTzdcjU5+2YMedm6u1vfVkatT97rXtr2pc1a58fl6VIeCf7WmvQnFzquXE490g9xwYgN0VCAIAYaywS7h9LGJOIkl+riFa7ztT0KEj2LBNOLecpEspWs+Ui4SD6O5xzvu8CtkWREMhu60XCYsvnKgDLUyQEslMkjGd1bVhjkbB1gHnsSdfnWGJbxzL1A1G5fMRB+tptj3ozc2p+c74QiB4PoigS1tW2c5il1r4hZb/Mue3lOrXxhkTtz57r3lr25TFrnx+Xo0h4J4einiPnriVzDPPuse3hdo3d7wAwhiIhAEAMRcInUhu7ZEyhb0ymlt1K8bA2Ti1TS4qtlH06taSoSChbzTUUCYvW8eyxcRwXclEkBLK7hiJhEXmugvN4IBdFQiA7RcJ4VteGLRYJL2H4UHMJrTcIcz8UlXHnfDAr1zu2zag3M6fmNWe/R48HURQJ68qYtW0dZs62y3XmrH1DTq2BY7Ru2zlj77vEurf0vmxZ+/zoT5HwTo6Z+xwp11nquVG2W+bQQ8+xAchLkRAAIMbaioRTy2sltXHm5FgZL6qo2LNIWDJ1/Fr2t6lIKFlyLUXCQeu49rH47gZyUiQEsruWIuHgnHMVxp5HAVwXRUIgO0XCeFbXhjUWCdfimj6UlNtSPmgd+4DmgDz0sYUi4TUra9uw/tXWvpLhMtbA09a+L9c+P/rYQpFwDcpj/tTzo/z78PxYgzKfXtZyGwG4HoqEAAAx1lYknFOGq40zJ8e2XbvsnFzqts3ZTikQHhYBFQklS66tSDgYjj2X4761Y9TD8Wnf3UBuioRAdtdWJBwM5yoM7wdr7wWH94NAbtdeJARoUSSMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYqytSLh0Dk+uLAW12uW2kjL/UhI8/LXF8r/L30rGFABFrjnXWiQEGEOREMjuWouEAGMpEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhAAAMRQJRSR7FAmBzBQJgewUCYHsFAmB7BQJ4ykSNigSAvSjSAjQjyIhALA0RUIAgBiKhCKSPYqEQGaKhEB2ioRAdoqEQHaKhPEUCRsUCQH6USQE6EeREABYmiIhAEAMRUIRyR5FQiAzRUIgO0VCIDtFQiA7RcJ4ioQNioQA/SgSAvSjSAgALE2REAAghiKhiGSPIiGQmSIhkJ0iIZCdIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMhOkRDITpEQyE6RMJ4iYYMiIUA/ioQA/SgSAgBLUyQEAIihSCgi2aNICGSmSAhkp0gIZKdICGSnSBhPkbBBkRCgH0VCgH4UCQGApSkSAgDEUCQUkexRJAQyUyQEslMkBLJTJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtkpEgLZKRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdoqEQHaKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIDtFQiA7RUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZCdIiGQnSIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDITpEQyE6REMhOkTCeImGDIiFAP4qEAP0oEgIAS1MkBACIoUgoItmjSAhkpkgIZKdICGSnSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjKdI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZKRIC2SkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7BQJgewUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQnSIhkJ0iIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGSnSAhkp0gIZKdIGE+RsEGREKAfRUKAfhQJAYClKRICAMRQJBSR7FEkBDJTJASyUyQEslMkBLJTJIynSNigSAjQjyIhQD+KhADA0hQJAQBiKBKKSPYoEgKZKRIC2SkSAtkpEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhAAAMRQJRSR7FAmBzBQJgewUCYHsFAmB7BQJ4ykSNigSAvSjSAjQjyIhALA0RUIAgBiKhCKSPYqEQGaKhEB2ioRAdoqEQHaKhPEUCRsUCQH6USQE6EeREABYmiIhAEAMRUIRyR5FQiAzRUIgO0VCIDtFQiA7RcJ4ioQNioQA/SgSAvSjSAgALE2REAAghiKhiGSPIiGQmSIhkJ0iIZCdIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMhOkRDITpEQyE6RMJ4iYYMiIUA/ioQA/SgSAgBLUyQEAIihSCgi2aNICGSmSAhkp0gIZKdICGSnSBhPkbBBkRCgH0VCgH4UCQGApSkSAgDEUCQUkexRJAQyUyQEslMkBLJTJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtkpEgLZKRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdoqEQHaKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIDtFQiA7RUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZCdIiGQnSIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDITpEQyE6REMhOkTCeImGDIiFAP4qEAP0oEgIAS1MkBACIoUgoItmjSAhkpkgIZKdICGSnSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjKdI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZKRIC2SkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7BQJgewUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQnSIhkJ0iIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGSnSAhkp0gIZKdIGE+RsEGREKAfRUKAfhQJAYClKRICAMRQJBSR7FEkBDJTJASyUyQEslMkBLJTJIynSNhQKxK+5s3v2L3937xfRETOzLNf+sq71tgH3/kb1cuKiMi0fOrX/MNb6+t/+Tl/q3o5ERERkV75P/7Rl9x6P6JICAAwT+1koW/5mffuvv0N7xcRSZH/+v/97bfWwP/uuS+vfg4VEbnGvOUd7721BpZ84d/+seplRUSuMd/+T9501zr48le/qXpZEZFrzBf87R+9ax38pV97b/WyIiLXmP/Hl9w+NqhIeD5FwoZnvugHbj3oREREREREREREZHp+13O++eaIGwAAUzz5Bbf/a7siIiIiIiIiIiIiIiIZ81s/4yU3354wlyJhgyKhiIiIiIiIiIjI+VEkBACYR5FQREREREREREREREREkTCCImGDIqGIiIiIiIiIiMj5USQEAJhHkVBERERERERERERERESRMIIiYYMioYiIiIiIiIiIyPlRJAQAmEeRUERERERERERERERERJEwgiJhw0t/8A13PfBe+L+8Zvc3vv91IiJyZj7+y//Xx9bVv34rf/17X1u9rIiITMt/+8Xfdmt9/e1/9KXVy4mIiIj0ym/5I3/jsfchTxxT+4y/+gM3R9wAAJjiy19+3633VSXPetnP7P7U332diEiK/J8/55seW/ueON79X33+N1c/h4qIXGP+ynf/zK01sOQT/sI/qF5WROQa86f+5x+5ax18zt/8keplRUSuMeW93+E6+Fcfe49Yu6yIyDXmv/q8cmzwie9Hfu8X/t2bb0+YS5GwoVYkfPBdv3HzVwDO8fy/8+q71tiP/MdHb/4KwDme+aLvv7W+/s5nfePNXwAALuO3/7FvuPV+5HO//odv/gIAwBS1IuH3v/Uju1f8y52ISIr8ni+6/cusT37Bd9yskADX7wMf+sitNbDkK15+/81fAa7fK17/trvWwVe+4W03fwW4frVjgx98+CM3fwW4fr//Sx0bjKZI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZKRIC2SkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7BQJgewUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQnSIhkJ0iIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGSnSAhkp0gIZKdIGE+RsEGREKAfRUKAfhQJAYClKRICAMRQJBSR7FEkBDJTJASyUyQEslMkBLJTJIynSNigSAjQjyIhQD+KhADA0hQJAQBiKBKKSPYoEgKZKRIC2SkSAtkpEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhAAAMRQJRSR7FAmBzBQJgewUCYHsFAmB7BQJ4ykSNigSAvSjSAjQjyIhALA0RUIAgBiKhCKSPYqEQGaKhEB2ioRAdoqEQHaKhPEUCRsUCQH6USQE6EeREABYmiIhAEAMRUIRyR5FQiAzRUIgO0VCIDtFQiA7RcJ4ioQNioQA/SgSAvSjSAgALE2REAAghiKhiGSPIiGQmSIhkJ0iIZCdIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMhOkRDITpEQyE6RMJ4iYYMiIUA/ioQA/SgSAgBLUyQEAIihSCgi2aNICGSmSAhkp0gIZKdICGSnSBhPkbBBkRCgH0VCgH4UCQGApSkSAgDEUCQUkexRJAQyUyQEslMkBLJTJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtkpEgLZKRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdoqEQHaKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIDtFQiA7RUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZCdIiGQnSIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDITpEQyE6REMhOkTCeImGDIiFAP4qEAP0oEgIAS1MkBACIoUgoItmjSAhkpkgIZKdICGSnSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjKdI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZKRIC2SkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7BQJgewUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQnSIhkJ0iIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGSnSAhkp0gIZKdIGE+RsEGREKAfRUK26N5779191Ed91NHAWqy9SFh7/gwpzzOYwxrdj30LzKFICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwnrP9GhQJAfpRJGSLFCnYCkVCMrJG92PfAnMoEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjOdsvwZFQoB+FAnZIkUKtkKRkIys0f3Yt8AcioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeM5269BkRCgH0VCtkiRgq1QJCQja3Q/9i0whyIhAEAMRULZQl78PQ9UjxkcS7l8bRyRWhQJgcwUCYHsFAmB7BQJgewUCeM5269BkRCgH0VCtkiRgq1QJCQja3Q/9i0whyIhAEAMRULZQhQJpWcUCYHMFAmB7BQJgewUCYHsFAnjOduvQZEQoB9FQrZIkYKtUCQkI2t0P/YtMIciIQBADEVC2UIUCaVnFAmBzBQJgewUCYHsFAmB7BQJ4znbr0GREKCftRcJH3jggccD+xQp2ApFQjKyRvdj3wJzKBICAMRQJJQtRJFQekaREMhMkRDITpEQyE6REMhOkTCes/0aFAkB+tlCkbB8ma1MyD5FCrZCkZCMrNH92LfAHIqEAAAxFAllC1EklJ5RJAQyUyQEslMkBLJTJASyUySM52y/BkVCgH62UiQsUSZkoEjBVigSkpE1uh/7FphDkRAAIIYioWwhioTSM9daJCzfP5bjbvfcc0/1eVL+vfzdMXPITZEQyE6REMjuWouEPhMDYykSxnO2X8NWioS1F9CxKS+0+y+25YVZYQa4hC0VCUu2tDYezv0wPlzNV/ZdbZ8OgbVQJCQja3Q/9i0whyIhAECMtRcJa58TD6M0dv1RJJSeuaYiYfkOr3Ws7VjKeR1APtdSJDx2gngrvjcEFAmB7K6pSOgzMTCHImE8Z/s1ZCgSnkp5sd5ScQbYlq0VCUu2QpGwn9YHWVgLRUIyskb3Y98CcygSAgDEuIYi4ZOeek/1upfK1JJbSW0cOR5FQumZaykSto6xjY1j6JDLNRQJz1n/rHmAIiGQ3bUUCX0mBuZSJIznbL+G7EXC/SgUAtG2WCTcyn/VRJGwn13ZpZQAAP/0SURBVNYHWlgLRUIyskb3Y98CcygSAgDEuIYiYcmSZUJFwv5RJJSe2XqRsHxvN/eXuI7FLzFAHtdQJKytY2Pje0NAkRDIbutFQp+JgXMpEsZztl+DIuHtlBdehUIgyhaLhMNauHaKhP0oUrAVioRkZI3ux74F5lAkBACIcS1FwpJnv/De6hi9o0jYP4qE0jNbLhK2vrM7N87fgOu39SLhuSeN+94QUCQEsttykdBnYiCCImE8Z/s1KBLW44UXiLDVImHJ2suErQ9gDrbPp0jBVigSkpE1uh/7FphDkRAAIMY1FQlLliiQKRL2jyKh9MxWi4S9T5gc4vwNuG5bLhJGrIO+NwQUCYHstlok9JkYiKJIGM/Zfg2KhMfjhRc415aLhCVrLhO25u5g+3yKFGyFIiEZWaP7sW+BORQJAQBiXFuRsKQ2Ts8oEvaPIqH0zBaLhHNOmCzfPe6ndpljcf4GXK8tFwmnrmW1+N4QUCQEsttikdBnYiCSImE8Z/s1KBKejhde4BxbLxKWlA8sa9Sau4Pt8ylSsBWKhGRkje7HvgXmUCQEAIhxjUXCJz31nupYvaJI2D+KhNIzWywSjj3psRx3O3XeReu43JC1fmcJnG+rRcKpJ38fi+8NAUVCILstFgl9JgYiKRLGc7ZfwzUUCY+9OJYX3iHlhXbsi+1hAOa6hiJhyRo/hLTm7mD7fK3XS1gLRUIyskb3Y98CcygSAgDEuMYiYcmzX3hvdbweUSTsH0VC6ZmtFQnHnDA59fvFHmMC27DlXyQcq7amDfG9IaBICGS3tSKhz8RANEXCeM72a7jmIuExQ7GwNlYtDtgAc11LkbBkbR9CFAn7UaRgKxQJycga3Y99C8yhSAgAEONai4QllyqTKRL2jyKh9MyWioRjvl+c+73imBMny/aB66JI6HtDyE6REMhuS0VCn4mBHhQJ4znbryFjkXBf62TRIV54gTmuqUhYcs56G601dwfb51OkYCsUCcnIGt2PfQvMoUgIABDjmouEJbUxo6NI2D+KhNIzWyoS1h7v+zn3+8TWiZNr+r4SiKFI6HtDyE6REMhuS0XC2vu5/fhMDMyhSBjP2X4N2YuExZgijYM2wBzXViQsWcsHEUXCfhQp2ApFQjKyRvdj3wJzKBICAMS49iLhk556T3XcyCgS9o8iofTMVoqEre/nor5HbJ046Rg7XBdFQmsaZKdICGS3lSKhz8RAL4qE8Zzt16BIeMeYMg3AVNdYJCxZwwcRRcJ+yr6r7dMhsBaKhGRkje7HvgXmUCQEAIhx7UXCkt5lQkXC/lEklJ7ZSpGw9ljfT/n+LsKlTs4E1kGR0PeGkJ0iIZDdVoqEtfdy+/GZGJhLkTCes/0aFAmf0DpxNOoFHsjjWouEJUuvia25O9g+nyIFW6FISEbW6H7sW2AORUIAgBgZioQlPYtlioT9o0goPbOFIuGlv5vzCwyQhyKh9QyyUyQEsttCkdBnYqAnRcJ4zvZrUCS8rTb+EC+6wFTXXCQsWbJMqEjYT9l3tX06BNZCkZCMrNH92LfAHIqEAAAxshQJS2rjR0SRsH8UCaVntlAkrD3O99NDbTtD/AIDXA9FQt8bQnaKhEB2WygS1t7H7aeH2naG+EwM10WRMJ6z/RoUCW9z8igQ6dqLhCVLlQkVCfvxWshWKBKSkTW6H/sWmEOREAAgRqYi4ZOeek91G+dGkbB/FAmlZ9ZeJFzqeznH7CAHRULfG0J2ioRAdmsvEvpMDPSmSBjPKtmgSHhb68UeYIoMRcKSMs6lLfXhLAMfQNkKRUIyskb3Y98CcygSAgDEyFQkLOlRJlQk7B9FQumZtRcJW8fOen5XWNveEMfa4TooElrLIDtFQiC7tRcJfSYGelMkjOdsvwZFwttaxZQlyjLAdm29SFjW19q/13Lp9bE1dx+S5mt98IW1UCQkI2t0P/YtMIciIQBAjGxFwpLokpkiYf8oEkrPrL1IWHuMD4k8X6Pm1PeVvbcNXIYioe8NITtFQiC7tRcJa+/hhvhMDERQJIznbL8GRcK71bYxRJEQmGLrRcJywLp1mf1cco1UJOxHkYKtUCQkI2t0P/YtMIciIQBAjIxFwpLIopkiYf8oEkrPrLlI2PpOrvf3g47bwfVTJPS9IWSnSAhkt+Yioc/EwCUoEsazQjYoEt6tto0hvV/wgetyDUXCMZfbz6XWybFzZzofPtkKRUIyskb3Y98CcygSAgDEyFokfNJT76lub04UCftHkVB6Zs1FwtZxs0t8N1jb7hDH22H7FAmtY5CdIiGQ3ZqLhD4TA5egSBjP2X4NioR3q21jyKUKMsB1uJYiYdG67H4usVZOmTvTtD78wlooEpKRNbof+xaYQ5EQACBG1iJhSVSZUJGwfxQJpWfWXCQs52PUHuNDLuHUHKLPFwEuT5HQ94aQnSIhkN2ai4Q+EwOXoEgYz9l+DYqEd6ttYwjAFNdUJCzWVCZUJOxHkYKtUCQkI2t0P/YtMIciIQBAjMxFwpKIwpkiYf8oEkrPrLlIWHt8D7nUsW7H7uC6KRL63hCyUyQEsltzkbD2/m2Iz8RAFEXCeFbHBkXC27zYApGurUhYTCkT9qRI2I/XQrZCkZCMrNH92LfAHIqEAAAxshcJS84tnSkS9o8iofTMWouEre/jyt8vwbE7uG6KhL43hOwUCYHs1lok9JkYuBRFwnhWxwZFwtv8/C8Q6RqLhEXrekN6rptz506bD55shSIhl1Lur0sd/GuxRvdj3wJzKBICAMS4tiLhnFLfk556T3XbY7N0kfDZL7z38dtQUttWSflbudxSBbuy3WGetbkN86tdt2TqPl7qdso2o0jYVtv+EMfcYdsUCa1hkJ0iIZCdImFbbftDvJ+E7VMkjOdsvwZFwttq4w+JfqEtbyBKyrjHCozl30vW8iJ/ar5LznXt+3KL9zUxrrVIWLSuO6Q8rns4Z+5zrP15PMyt5Njchr+3HBtjCKzFtRcJT605S643h8ochnnW5jrMt1ym3KYtWsu+Lso8avt4SDSvf08EoEaREAAgxjUWCaeWzkpKka22/TGZs73aOFNyrJQ3NpcoFZbxy3Zq2z+VcrsO5zZ1H/e+bXJdWWuRcE3HzGrbHzLm+B+wXoqE1jDITpEQyG6tRUKfiYFLUSSM52y/BkXCJ1zqBb+1nVOJOEG3nGxbG3tI7QTvOXMuc62NFWnpfdmy9vnR3zUXCYuxj/GodXrfuXMfa+3P49Z+OJZT82rdZliLay0Szll3Lv2+oaw9ZZu1uYxJmeuc94m1sfbTYx/sr7M9tPbj4Wto6/ERZc7jcIjXPyATRUIAgBjXWCQs15tTYDv1i3inMrXkVlIbZ0zOLRAeplbai8ic/X+Y/XKnIqH0zFqLhKeOXx4eu+xtTXMBYikSXu47PmCdFAmB7NZaJPSZGLgURcJ4zvZrUCS8o3Ui6iW2MSVlPnNOvi5a89gfN2LOPd6grGVfHrP2+XE5114kLMpjtHbdw0SvBRFzP2Xtz+My3th9fyq1eSlSsBXXViSMWnei15t9UWvPfqbMt7U+lUTbv73nvrbU7M+9lsP903uNjnoclnj9AzJQJAQAiHGtRcKSOYW7OQW0qSW3kto4rUQWCA8zt0R5mLIvehQdp+7jOfej5M1ai4S1x/aQHsdLTzl1XLD8DdguRcLLrqfA+igSAtmttUhYe+82xGdiIJIiYTxn+zUoEo47WfbcF/xTL+DnZM5tb93e4aTaMftlbCLfpKxpX9asfX5cVoYiYTH2cR/5OI6ae83an8flttXGn5vDebXGh7W4piJh9LoTud4Oeq2NJVPmW7v+fob3slEOx4/U2qe1/dJzje51H0+5f0/x+geskSIhAECMay4SlkwttZXL719/TKaW3Epq4xxLGb9niXDInNu+nzn7YWym/sKhIqFMiSJhm+N3cL0UCS+7ngLro0gIZKdI2OYzMVw3RcJ4VsaG7EXC1gtryTnjR5bxjmXq/FpzKn/vMe9zTyBe477ct/b5sYwsRcKiPD5rYxwm6nEcOffBFp7HY/fz1OzPy4dOtuJaioSXeF6f4xJr45CyrZYx79+j1LY1Zo5jHY59mNq2eqzRXv/u8PoHzKFICAAQ49qLhHPKbVMLdXO2URunlp7lvFrmlgkvPc9WDh8HIqeiSNjm+B1cL0XCy66nwPooEgLZKRK2+UwM102RMJ6VsSFrkbD1grqfuScLX+KE3CFT9kFrXj3nfW37crD2+bGcTEXCojw+a+McJuJxHD33LTyPx+7fuRnm5UMnW3ENRcJLPa/nuuTaOKRss6V2vf2MGWOM2tjn7tNBa609tp3oNdrrn9c/4DyKhAAAMa69SFgy9dfsSsp1Dsc5lp5Fwtp1e2dOmbA2zpJRJJQpWWORsHXsMOo47FiO38H1UiRUJITsFAmB7NZYJPSZGLgkRcJ4VsaGay8SlhfqkvICWi439STUcw7WzNnWfqbOt1x2jNabm1aGeU2dX8nYOR6aup1L7cvB2ufHcrIVCYuxj+VzH8fRc5/yHCzZfw6XlOtPGWPq7S/bqI3TyjCvsfMbbk/tb0NgLbZeJBzzvD58Do95Hh+mXGeOc98znpOy7VNa+27ubd53ahut+Y1RG3c/x7YRvUZPfUwNj90hUx+XU++b1u09lmFeY+c33J7a34YA1CgSAgDEyFAkLCnluNrlT2VsGa1XkXDOnKMypYi35DyPRZFQpkSRsG1t8wHiKBIqEkJ2ioRAdoqEbT4Tw3VTJIznbL+GaygS9srUk1z3jT3htWxjzIv32PHGjNV6M1HLmINWY07QLZl6AGzN+7JY+/xYVsYiYTF2PSiXmyty7mt/Hrdu637GzLHM79R91Lr/YC22XCQ89Twrz9Fzn8eHKZedYsq6U1LGPzbv8m9j18X9tPZB7Tr7aV2/pXUfnaO1P07dX63rTjH2finzGbM/x4439r4pl6tdv5YxcyzzO3W/nvpbCUCNIiEAQIwsRcKSOYW32jiH6VEknPMriiXlNpbrljkNmTtWbV6HmXPbL5Eyr9p8RWpRJGxb23yAOIqE533vBGyfIiGQnSJhm8/EcN0UCeM5269BkbCeUyfvtrRerIdMfdEul2+d3Dpm3mPnVzJ1P4wZe8qY17Ivl5ofy8taJCxaj+Ehc7cRNfctPI9r161l6hyLsffTfmAttlwkrKU8H3s+j6eMPXbMqXMeszbu55SyzteuM+Sc17Ayz9qY+zlHax+c2qet2z3WmNtYMuX+Lcbcx+XvY9SuW8vUORZTHodDAGoUCQEAYmQqEs4pvZViXm2s/cwZtzbOfmrXaaUUBmtjDZk6z9Z4JbXrrSGKhDIlioRta5sPEEeRUJEQslMkBLJTJGzzmRiumyJhPGf7NSgS3p1zD9CMOSn1nBfs1vit+bfeTAwZe4LvoTHjj7X2fbn2+bG8zEXCYsxzpGTO8yRq7mt/Hpe/1663n7KNc4y9n4bAWlxTkfASz+Ox2xi7JpyzNrbW8CGtNbJ2nf3MneOYfTD3NbK1rrfup9b1xxpzG73+3Q5AjSIhAECMTEXCkjm/zhdd0CupjTNkzhzHFuemzrU2xpA589xPuX5JmVPJ8L/n/HLkYcbuD5ESRcK2tc0HiKNIOO87J+B6KBIC2SkStvlMDNdNkTCes/0aFAmfyLknohatF+qSiBfr2rhDWrdjzBxLzpln66TcMda+L9c+P9Yhe5GwaK0HQ6Y+XyLmvoXnce06+4laB8beTyWwFtdSJLzk87i1No5ZF0si1saIbbXKZnNfx2pj1TJH635q7dvWbR5jzL6PuI9r4w5pPe5r19nPJZ83QwBqFAkBAGJkKxKWzCmqnRq3/K12nVOpjTNk6vxK+a42zrFMme+psWuXH5Ny+1r3U9lu7bpjM+ZxIDJEkbBtbfMB4igSKhJCdoqEQHaKhG0+E8N1UySM52y/BkXCOyehRr2A9jqZ+dA5JxC33kyUnDvPiP0QMcYYre0cs/b5sQ6KhHfUxq5lylocMfe1P49b1yuJNLZMAWtxDUXCqDLUoPU8bm1vzDoQ9b65GPO+tDXn2nX2M9WYtXfI1H3Rur1jHg9zX1P2tcYof48wd65j7oNIYx73JQA1ioQAADEyFglL5pQJa+OURBYJp45VbkdtnFZqYx1L7fpzbnPJ1ILfnPupZOp2JHfWWCQsao/tIVHHEcdqHV+NPHYNXJYi4WXXU2B9FAmB7NZYJCxq792G+EwMRFIkjOdsv4aMRcJyomh5Ae/xIl7b3n4inTrh9dRJyK03EyURbyhq4w4Zs+9r19tPpDn7snbZ/USae1+zPEXCO8asO0PGrj8Rc69dbz+ReqwzEWv1odp2DgNrcQ1FwiWex6fULr+fHvNtreclp7Zb1vvadYZMfS2rjXEsU9+HnXotKBkz19btHaN2vf1E8voHXDtFQgCAGFmLhHOKcMdKe3PGqo1TMvWX+Kb+GuGQKXOu7dM5vxg49r45zJwy4dxtSc4oErZFHBsF1kmR8LLrKbA+ioRAdoqEbT4Tw3VTJIxnZWy4hiJhOQG1vEAOqV1mP1NP+B2rdRJ09JuGU7f11G0cc7J2hNq4Q1r7Yu37civ3NctTJHzCmLVnSLlsy7lzX/vzuDW/Xs/9Mm5te/uBtdh6kTB6nRmcWm9Kjm23db2e7zlaa8+pfTXm9WWs1j6oZcxrVhG1rrfm2OL1r671GCwBqFEkBACIkbVIWDKlTDekVtybM87hGEOmluZqY4xNbbxaavu0drlTmVt4LJmzf6c8DkQUCdvOPTYKrJci4WXXU2B9FAmB7BQJ23wmhuumSBjPythwLUXCfWNOJu7xAr7Ei3RtO0OOudTJw6dOxm2dALz2fbmV+5rlKRLeNmZ9HlIue8q5c9/6OtPaP+eobW8/sBZbLxIu9Tw+9j6sVaTqaczrwylRa2ZrH9Qy9rWyNfbYcc59/Tr3+nPUtjPkUNR9OUdte/sBqFEkBACIkblIWBLxa3dzim77199P7bLHcuwXEsemNmYthyXAyNs7NlPvJ0VCmZK1FglPHdc8dqy5lyWObQKXoUgYe14GsD2KhEB2ay0S+kwMXIoiYTwrY8M1FgmL1gtmSfRJqKfeMJT0UNvOkGO3r3WidtQBqnPeQK19X27lvmZ5ioR3a21zP6ce2+fO3Tpz3JLbhim2XiTsac7zuHa5IWW83lrv3895TShpOTVGxLpYu96QKfu3tZ9alljja9sZ4vUP2DpFQgCAGNmLhCVzyoT7148q1s0Z5xI5LCyWYmHtcsdyzq8R7qc29rEoEsqUKBK2rWkuQCxFQkVCyE6REMhOkbDNZ2K4boqE8Zzt13CtRcLi1IvmkEi18fdT5hOd2naGHDvQ1DrROuoA1an5lb+dUrvOfvb3QVRq2xlyuE9ql9lPbfxzU9vOEAcV10uRsG5M4WPIYcFgcO7ca9fZT+15eG5q2xkyZZ0pY/VU5lLb7hBYiy0XCXu/dk99Hrcu33u+RWtdP/Z6MGjdhtb1T63T5bqn5nfO2CVT9u/U+/ZQ7Tr7GV6zIlPbzpDD2167zJAyVk/n7lsgJ0VCAIAYioTzCnz75bqoIuHUgt4lc848o0p9UwqfioQyJWstEq7pmFlt+0OmHGMF1keR0BoG2SkSAtmttUjoMzFwKYqE8Zzt13DNRcJTJ/sOiTwZtTb+kjn2xqC1X1onQo916qTh1n6vXWfJHO7L2mWWjDeB66VIeNyYNXpIbV06d+616yyZKetM7+d8Gb+23SGwFlsuEka93zqmtUYebn8tz/vatoe01r7WbZ77/nP/erW/DzmldvkhUz+PnHtf1a6zZA7v19plhrQeA+day/MA2BZFQgCAGIqEd3JOmTBbkXDqLzjuX/ecTNk/ioQyJYqEp0095g1siyJh3+8/gPVTJASyUyQ8zWdiuH6KhPGc7ddwzUXCovUiXhLxAtp6kV4ix/bLpd5QlO3Xxi85dZ+tfV9u6b5meYqEp419PtUe4+fMfevrTPl7T63tw1ooEp5W2+6QwzWyrEG1yw25lNq2h4x5TWq99z+2309db3+7py43Z+yS/fHHaI13Smt9XyJe/4CtUyQEAIihSPhEphbkSsr2ooqEc7Z/qezv19rfj6WU//Zv4zmZsp/PeRxIvqy1SFjUHt9Dph7fnGvpY4dAX4qEl1lLgfVSJASyW2uRsKi9fxviMzEQRZEwnrP9Gq69SFi0TowuOfdFtPUivUSO7ZdLvaE4td9P3Wdr35dbuq9ZniJh29jn1OHj/Jy5b32dKX/vrbbdIbAWWy4SXkJtu0MO18iyBtUuV3LJ9xnnzqO1fh4bo3bZIftOjX/sdad22SFz9m3ZTm2sIad4/WurbXcIQI0iIQBADEXC25lbJqz9+6lEbftSWUORsKS2jVoUCWVKtloknHOMc45zjosC66dIeJkT0IH1UiQEsttqkdBnYiCKImE8q2NDhiLhmBNmz30xX/tJufsudYJu2X5t/JJT+3vt+3JL9zXLUyQcZ+zzaspz8dTct77OlL/3VtvuEFgLRcLTatsdcrhGljWodrmSS77PiJhH6+DZ4Rp66vK115JTl58ydklt/JbWmKd4/WurbXcIQI0iIQBADEXCu1MbNzq17SoStlPbRi2KhDIlay4SruH4cW3bQ+YcZwXWRZHQOgbZKRIC2a25SOgzMXAJioTxnO3XkKFIWIw5afacF9O1n5S771In6M5987T2fbml+5rlKRKOd2rN2M/weD9n7ltfZ8rfe6ttdwishSLhabXtDjlcI0+twZd8nxExj6mvD6e2WXNq/Evs17KN2nhDTvH611bb7hCAGkVCAIAYioR3p4xRGzsyte0qEp7OlPtFkVCmZM1FwnOOSUaYeswX2B5FQusYZKdICGS35iKhz8TAJSgSxnO2X0OWImFx6kTeIXNPTl3DSa9jXWquc0+cXvu+XPv8WBdFwmnGrNMl5XLnzH0Lz+PavIb0vl9a+wfWYstFwt7rzNR1bumDXoPatoecev94qHV7htt/aj+d2l7t8kMGrTnMXcvPua+mPi6WUJvXkLn7bKzW/gGoUSQEAIihSFhP71JfxDbL5cvtvUT251mby7GUOe5f95yUedS2UcvhnEVOZc1FwqL2GB/S+7hd65joGo5rAudRJOy7jgLrp0gIZLfmImFRew83xGdiIIIiYTxn+zVkKhIWtesfZq7aWEPWdNDnUicQnyoEte6z2nWGrGFf1uY1xAE+9ikSTndq7dhP63KtudeuMyT7OtN6XMBabLlIuPTz+PD9XplP7XJDLqW27SFT9tnY17dTryWnnBp/2LfnvBc+5dz7qnadIb0fl2PU5jWk9/xajxuAGkVCAIAYioTH07NMWNte+fW+2mWPJfLX/qZkyn6JLBJO2T+KhDIlay8S9jreOUZtm/sBtk+RcPnvZ4BlKRIC2a29SOgzMdCbImE8K2RDtiJh6+TQkrkv6rWxhqzpoE9rHwwnP5/rnDdOtesMyX6CM9uiSDjPqfVjbFpzr11nyBqex+esoecqt7+23SGwFoqEx7Wex4fv9y71/vCU1pyn7rMxa1nt30vGrLO16w3p+fo65nadUrvOkHPmFcXrH7A1ioQAADEUCU+nto2I1LZ1jUXCktoYc1Ib+1gUCWVK1l4kbB0763UMueexVmA9FAmtZZCdIiGQ3dqLhD4TA70pEsZztl9DtiJh0XpBL5nz4rrkSa9TtN5YRL2hOWd/rH1frn1+rIci4Xynnmdj0pr7lteZkp5q29sPrMWWi4S915mpa8gaXg+i173WbTqVMbe3XKZ23ZJTt+Xc+/7Udktaes4tQvTjYIra9vYDUKNICAAQQ5HwdMp4te2cm4htRf7a35QsUXicum8UCWVK1l4kLGqP8yG9ji22jodGndsALEuRcLnzMoB1UCQEslt7kbCovY8b4jMxcC5FwnjO9mvIWCQsWieolkx9gV3ypNcpWidVR72xOLU/WvfZ2vflVu5rlqdIeJ7Wc+1UWnNf+/O49SGw133TekyUwFpsuUhY0svctb122f1EvUc8prbNIa33jse01tJapmyrdv1Wzl2/W7epxetfndc/YC5FQgCAGIqE7Uz9Bb4xqW1nTmmxNk7vLDHPqeVFRUKZki0UCS99bLF1zG7ucWNgfRQJ+3z3AWyHIiGQ3RaKhD4TAz0pEsZztl9D1iLhmBNFS6ZY6qTXcvunjN267eXvEU69aWrdZ2vfl2ufH+uhSHi+U2vJqbTmvoXncW1eQ1rr6Fyt/VICa7H1IuFSz+Nja1Drer3mW7TW+rHr5qGx7/n3M2VbrX12mIh92NpmS+v6c/d1S7ntY8euzWvIUs+bEoAaRUIAgBiKhOMSXSasbaOkdtlTOef2luvOvX5tLqdyzq8nljnWxjyVXo8Duc5soUjYOoYWfeyuddw46rwGYHmKhH2+mwG2Q5EQyG4LRUKfiYGeFAnjOduvIWuRsBhzsujUsWtj7Cfa/m0ocx3zxqB1QnXUm4tTb2LG7Nfa9fYTbeq+3J9LLdHm3NcsT5Ewxqn15FjGzL12vf1Em/o8bt3u6HWg9XgYAmux9SJhyRLP42PbPOe65xiz3XPsr71jMsWYue8n4nW1dXvGqF1vP9G8/gHXTJEQACCGIuH41LY3N7XxS6b+8l65fG2cVmrlvFL2K+OVtPbjnGLl3PumNlYrioQyJVsoEhaXOnY35pgdcD0UCRUJITtFQiC7LRQJC5+JgV4UCeNZKRsyFwmL1ot6yZQX9tZ458z10LE3Cq1ttN5gRL2RObUvxuyHte/Ltc+PdVAkjNN6zh1mzNzX/jxulUVKIo3dx7AW11AkjFxnitbzuLU2jlkHot4rFq3XoZJz99GYbQyZ87o3du2Muq9brw1jtOYcNdfC6x9w7RQJAQBiKBKOT618Nze18UvmbGPObZ5SBKyVFacWHodMmWu57NxfgpyzTyRvtlIkvNSxu9q4+4k8Tg0sT5FQkRCyUyQEsttKkdBnYqAXRcJ4zvZryF4kHHti8dgX3THjRbyAj9nOsQNNretGzK84dULumPts7fty7fNjHRQJY4090b9kzNy38DyuXXY/57wG7puyb2EtrqFIWHLJ53FrTRuzXpVcam0sidhWWWNrYx9mjrG3I+o1tXVbxhgz50vdx17/gK1TJAQAiKFIOC1zC3SHqY09pHb5Uyllu9o4xzK1nFcrEpbULjsmY+Zb7sfadcdGkVCmZCtFwqJ1TO3cY3e9xwfWR5FwXedlAJenSAhkt5UiYeEzMdCDImE8Z/s1ZC8SFmNOcJ2yjdaLeMk5J+aOmW/JsW20rn/O3Pad2g9j9+fa9+Xa58fyFAnj1eZZy9i5X8M6M3ZNPWbMNvYDa3EtRcKSc5/HrXJZydhtjBmr5Jy1cew2zt0vgzFr8Tnbqo13mCitfTfWmLXf69/tANQoEgIAxFAknJ65v5K3n9q4Q+aU6MaWCefMvTZOybmlyjKXMka5vUOiipqXeBzI9WRLRcJex1vLuL2PWwLrpEioSAjZKRIC2W2pSOgzMdCDImE8Z/s1KBLeMebFd+yBmzFvEkrmzDvixO7W/KLeZJzap2Nv+9b35ZCl5sfyFAnjjX3eXcuaXdSuc5gyv6nrQbl8uV5tvFOBtbimImHJnHVmyvN4yhpRu34tU9eeKfOdsz9OaW13yu041FrvI19PW9saq9ze2vUPM+d+8PoHZKJICAAQQ5FwXmrbnpLamPupXWdMhmLe4XhzC3rleodj7ad2nTVEkVCmZEtFwmLs8bWxx+7GHq+MPNYKrIciobUNslMkBLLbUpGw8JkYiKZIGM/Zfg2KhE+ojX2YsS/qY0+eLWm9sJdtThmvtT9abzjG3saWU2+Uptxna96Xxdrnx7IUCftozbtkytzX/jwec3uHlPHOnWMZo/bvQ2Atrq1IOCTieXyY1niHpqw7Q8o2yvUODXNtrS2HqY11jlO3acxa3FIbd0ik1v0+ReRjaLifa9etZcw+P3WfHSbiedN6jALUKBICAMRQJJyXsp3a9semNuZ+zh0/ImN+5TDqFwSjo0goU7K1ImEx9pjvsWN3PY4pAtukSDjtezzg+igSAtltrUhY+EwMRFIkjOdsvwZFwieMPVF1rLFvEvZTrrOf2mVOpVynpXU7y98jnJr/mHnum7sv9lO7zKmU64w1d/z91C5zKuU6rJ8iYT/Rc5/7PNxP7TKnUq4z1tzx91O7zGHK5VofUGEttlwkLM+zMc/L/efwmMvXUq43x9j3xj0S9X700LF9GPF6d2ztjBh7X/QaPedxNTweh9QucyrlOmPNHX8/tcscplwuet8COSgSAgDEUCScn3NKdLXxDrN0SW/sviyFw9r1l4wioUzJFouERe2x3yu9jhsDy1MkXO95GcBlKBIC2W2xSFjU3tv1is/EcN0UCeM5269BkfC21smjJVO2N/bE1YiMnVfrpPCoNxunbvuc+2yN+3Lf2ufHMhQJ+zo1/zlzz77ODHNSpGArtl4kLC71vJ6r9TrRI1HvRWtqt+fcfTQ4tq+i9Vijez8O9zNnf1/qeeL1D5hDkRAAIIYi4XmZW6KrjVXLUiW9UmKszedY1lYmVCSUKdlqkfBSx5B7HjcGlqdIqEgI2SkSAtlttUjoMzEQRZEwnrP9GhQJ7zbmRNUpL8q9T3wtmbIPWm9cot5wnLrdc++zte3LQ2ufH5enSNjfsdswd+5Z15n9OSlSsBXXUCQsLvG8PkfrtSIyUe9DTznc35GvdYfrZ+TYg15rdK/H4X7OeUxe4nnSa98C102REAAghiLh+anNo5XaOMdy6ZJe2V5tHqdS9nttrKWiSChTstUiYdH7GPIljhsDy1IkXP95GUBfioRAdlstEhY+EwMRFAnjOduvQZHwbmNf1Ke8OPc8MXfqm4TW7Yt603HqNp9zn61pX9asfX5cliLhZdRuxzlzz7bOHK7JihRsxbUUCYvez+sIPdfGHvM95vA1I1LPsQc91+ie97HXP+BaKRICAMRQJDw/c0p0tXFO5VJlwqm/RLifnmXCMq/avx+LIqFMyZaLhIPex++A66VIqEgI2SkSAtltuUg48JkYOIciYTxn+zUoEta1TiItmbrdcvJs5BuFMsc5J+QenuB8mIiTfItTt/Xc+2wt+/KYtc+Py1EkvJzD23Lu3Nf+PI6aX21OZa61yw6BtbimImHReu6NTeRac6iMXdvm3JR1rOd8jxnWz/J/ow237dzXoWN6r9FRry9Dynwj7+Oo+dXm1HvfAtdJkRAAIIYiYUymFt1qY7QydRtTUoqKUfsuuvRY5jW1pKhIKFNyDUXCIuo4d6/jq8A6KRJa8yA7RUIgu2soEhY+EwNzKRLGc7ZfgyLhcWNOUJ2z7XNPfi1vEM45GbdctzbukHPG3nfqNkbdZ0vvy5a1z4/+FAkva//2RM197c/jMv6c+Z2aV/lb7TpDYC2urUg4aD0Hj+XUmNHK+jF3niVl3eq5NraUbZd59NBz7OJSa3S5HV7/bgegRpEQACCGImFcphToatcfk3L7oot65/wK4bFElB7L7RzGUySUnrmWIuGgdaztWHofVwTWSZHQieKQnSIhkN21FAkHPhMDUykSxnO2X8NWioTXqrzol5w6CXa4jDcHp619X659fvSx9iLhNSrPn+H5FG3tz+Nhbsfmt9S8oJe1FwnPNeY5vYbnddn+MNfaPIfbMMx3LcqcelnT7Yww3HfH7uOS4TJe/4BsFAkBAGIoEsZmbMmvdt0pKbfznLJemWePAuFh5syxzO3wflQklJ65tiLhYDhueOz4Xfk3x++ADEVCgFMUCYHsrq1IOPCZGBhLkTCeImGDIiFAP4qEyxg+YAHX7dqLhADA+ikSAgDEWHuRcGsZW3irXXduhlLhqRJj+dulyoPHMsyxNs/ytxIFQFki11okBBhDkRDITpEQyO5ai4QAYykSxlMkbFAkBOhHkXA5/istcP0UCQGApSkSAgDEUCQUkexRJAQyUyQEslMkBLJTJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtkpEgLZKRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdoqEQHaKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIDtFQiA7RUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZCdIiGQnSIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDITpEQyE6REMhOkTCeImGDIiFAP4qEAP0oEgIAS1MkBACIoUgoItmjSAhkpkgIZKdICGSnSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjKdI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZKRIC2SkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7BQJgewUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQnSIhkJ0iIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGSnSAhkp0gIZKdIGE+RsEGREKAfRUKAfhQJAYClKRICAMRQJBSR7FEkBDJTJASyUyQEslMkBLJTJIynSNigSAjQjyIhQD+KhADA0hQJAQBiKBKKSPYoEgKZKRIC2SkSAtkpEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhAAAMRQJRSR7FAmBzBQJgewUCYHsFAmB7BQJ4ykSNigSAvSjSAjQjyIhALA0RUIAgBiKhCKSPYqEQGaKhEB2ioRAdoqEQHaKhPEUCRsUCQH6USQE6EeREABYmiIhAEAMRUIRyR5FQiAzRUIgO0VCIDtFQiA7RcJ4ioQNioQA/SgSAvSjSAgALE2REAAghiKhiGSPIiGQmSIhkJ0iIZCdIiGQnSJhPEXCBkVCgH4UCQH6USQEAJamSAgAEEORUESyR5EQyEyREMhOkRDITpEQyE6RMJ4iYYMiIUA/ioQA/SgSAgBLUyQEAIihSCgi2aNICGSmSAhkp0gIZKdICGSnSBhPkbBBkRCgH0VCgH4UCQGApSkSAgDEUCQUkexRJAQyUyQEslMkBLJTJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtkpEgLZKRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHsFAmB7BQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdoqEQHaKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIDtFQiA7RUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZCdIiGQnSIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDITpEQyE6REMhOkTCeImGDIiFAP4qEAP0oEgIAS1MkBACIoUgoItmjSAhkpkgIZKdICGSnSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLJTJASyUyQEslMkjKdI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZKRIC2SkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7BQJgewUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHaKhEB2ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiA7RUIgO0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQnSIhkJ0iIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyE6REMhOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGSnSAhkp0gIZKdIGE+RsEGREKAfRUKAfhQJAYClKRICAMRQJBSR7FEkBDJTJASyy1Ak/NC/+Te7977utbtf+97v3r31G75+94sv+trdG7/yK3Y/+7zn7l73p5+9+5k/8Vm7n3zmp+3ue9on7V79lI/d/eh//98+/n/L/y7/Xv5eLlcuX65Xrl/GKeOVccv4wHYpEgLZKRLGUyRsUCQE6EeREKAfRUIAYGmKhAAAMRQJRSR7FAmBzBQJgeyuqUj47976y7t3/diP7t72rS/bvemrXrj7mc/57N2rn/JxjxcDe6dsp2yvbLdsv8yjzAdYP0VCIDtFwniKhA2KhAD9KBIC9KNICAAsTZEQACCGIqGIZI8iIZCZIiGQ3ZaLhP/uwQd37/iH/2D3z7/sBbsf/8SPrxb8lk6ZV5lfmWeZL7A+ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiC7LRUJP/hr79j9qx/4vt0bv+qFu/vv+eRqcW/tKfN+01f/hcdvR7k9wPIUCYHsFAnjKRI2KBIC9KNICNCPIiEAsDRFQgCAGIqEIpI9ioRAZoqEQHZrLxL+h3e+c/cr3/5tu5/+rM+sFvO2np967HaV2/cf3vnrN7cYuDRFQiA7RcJ4ioQNioQA/SgSAvSjSAgALE2REAAghiKhiGSPIiGQmSIhkN0ai4SPPPyh3a//0A/u3vDFX1gt311ryu0tt/vRDz98syeAS1AkBLJTJIynSNigSAjQjyIhQD+KhADA0hQJAQBiKBKKSPYoEgKZKRIC2a2pSPjun3pg9+a/+NW7Vz35SdWiXZaU21/2Q9kfQH+KhEB2ioTxFAkbakXC7/rJX9o98JZ/JSIiZ+aP/rV/dNcae/+b31G9rIiITMvHv/B/vbW+/l/+xN+sXk5ERESkV37rZ379rfcjioQAAPPUThb6Kz/29t2L/+m/EhFJkf/rn/rWW2vg7/0zf7f6OVRE5Brz6n/+9ltrYMmf+Bs/XL2siMg15sXf99q71sEXf/9rq5ftlfv+52/ZveoPPr1aqsuesl/u/5svq+43EYnJH/8bP3TXOvjqN769elkRkWvM7/3C28cGS7GQ8ygSNjzzRT9w60EnIiIiIiIiIiIi0/O7nvPNN0fcAACY4skvuP1f2xURERERERGRvvnf/aG/uvufnvp5u+/4mI+tFujkdsp+Kvur7Lfa/hQRERGJym/9jJfcfHvCXIqEDYqEIiIiIiIiIiIi50eREABgHkVCERERERERkcvkP3/G1+0++6mfs/uuJ/2+amFOTqfst7L/fstj+7G2f0VERETOjSLh+RQJGxQJRUREREREREREzo8iIQDAPIqEIiIiIiIiIn3z257xtbtnffwf3/3Akz66WpCTafn+j/7ox/dn2a+1/S0iIiIyN4qE51MkbFAkFBEREREREREROT+KhAAA8ygSioiIiIiIiPTLMz7hObvvftLHVAtxcl7+4WP7tezf2n4XERERmRNFwvMpEja89AffcNcD76U/+PrdP3jNW0RE5Mw8/S99911r7N//8V+sXlZERKbl933p7RPMfsdnvbR6OREREZFe+T/8T19/6/3I5379D98ccQMAYIovf/l9t95XlXzpd7159+Xf+xYRkRT5L5/1LbfWwN/9p19W/RwqInKN+XuvfvOtNbDkD3/t91YvKyJyjfnyb7/7M/FXPPY5uXbZqfme7/ih3T/+o59dLcBJbMp+Lvu7dj+IyOl82mPv/Q7XwfIesXZZEZFrzO9+zu1jg//dc7/95tsT5lIkbKgVCR9812/c/BWAczz/77z6rjX2I//x0Zu/AnCOZ77o+2+tr7/zWd948xcAgMv47X/sG269H1EkBACYp1Yk/P63fmT3in+5ExFJkd/zRbf/w3lPfsF33KyQANfvAx/6yK01sOQrXn7/zV8Brt8rXv+2u9bBV77hbTd/neeRhz+0++WXvLhaeJO+Kfu97H9gvNqxwQ8+/JGbvwJcv99/8KMajg2eT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLKLLhK+8x//0O7+ez65WnJbMvc//VN2r/+C5+ze8ldftPvV7/z7u3f9yCt3D73mvt17X/+63fvf8ou7D7z97buH3/3Q7pEPfGD36KOPPv5/y/8u/17+/r43vH730E/c//j1yvXLOGW8Mm5te0umzKncD8A4ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiC7qCLhw+959+5nn/fcarHtkvmx3//Ruzd80RfsHnzZN+/e9aOv3L3/LW/ZPfLBD97Mso8y/vt/6S2Pb69st2y/zKM2v0um3B/lfgFOUyQEslMkjKdI2KBICNCPIiFAP4qEAMDSFAkBAGIoEopI9igSApkpEgLZRRQJH3rN/bv7n/ZJ1TLbJfK653z+7l988zfu3vf61+3+06PrODeuzKPMp8yrzK8270vkvsful3f/xGtuZgXUKBIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHszi0SPvgt31QtsPXMP/0DT9m95a983e49P/3A7tEPP3wzk3V75OEPPT7fMu8y/9rt6plyPwF1ioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQiC7uUXCDz300O5n/+wXV0trvfLzf/5Ld//6VT92M4NtK7ej3J7a7eyVn3velzx+vwG3KRIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYHs5hQJ/8399+3u+5RPqJbVovPPPu9zd7/6Xd+5+/D73nez9etSbtc7Hrt95XbWbn907vvkT9g99Bqvc7BPkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGQ3tUj44Ld8U7WgFp2ff8Hzdu99/etutprD+x67veV21/ZHdMr9CNyhSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLKbUiT8pXv/WrWUFpk3vvDLd//2zW+62WJO5faX/VDbP5Ep9yegSAigSBhPkbBBkRCgH0VCgH4UCQGApSkSAgDEUCQUkexRJAQyUyQEshtbJHzT13xltYwWlV/4y1+z+823/vLN1ijK/ij7pba/olLuV8hOkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGTXKhI+8vDDu5973pdUS2gR+bnnP3f37x988GZr1JT9U/ZTbf9FpNy/5X6GrBQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdqeKhA+/5927f/Z5n1stn52b+5/xqbt3vfIVj2+Hccr+Kvuttj/PTbmfy/0NGSkSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmB7I4VCf/9r7xt95N/5NOrpbNz89aXvmT36EeUdOYo+63sv9p+PTfl/i73O2SjSAhkp0gYT5GwQZEQoB9FQoB+FAkBgKUpEgIAxFAkFJHsUSQEMlMkBLKrFgl/+P7dfZ/8CdWy2Tl5wxd9we79v/gLN1vmHGU/lv1Z28/npNzvyoRko0gIZKdIGE+RsEGREKAfRUKAfhQJAYClKRICAMRQJBSR7FEkBDJTJASyOywS/o5n/KXdjzzj6dWS2Tl527e+7GaLRCr7tba/z0n5ZcKH3/Pumy3A9VMkBLJTJIynSNigSAjQjyIhQD+KhADA0hQJAQBiKBKKSPYoEgKZKRIC2e0XCf+zP/ii3Uue/InVctncvObpT9u956cfuNkaPZT9W/Zzbf/PzWs//0/uHnn44ZstwHVTJASyUySMp0jYoEgI0I8iIUA/ioQAwNIUCQEAYigSikj2KBICmSkSAtntFwm/9uPuqZbK5ubn/9zzdx/+DecDX0LZz2V/1+6HufnZ533Jzehw3RQJgewUCeMpEjYoEgL0o0gI0I8iIQCwNEVCAIAYioQikj2KhEBmioRAdkOR8Mv+n3+4Wiabm1/5tm+92QKXVPZ77f6Ymzd/zVfdjAzXS5EQyE6RMJ4iYYMiIUA/ioQA/SgSAgBLUyQEAIihSCgi2aNICGSmSAhkV4qEf+Ypn1Etkc3Jqz72Y3YP/eRP3IzOEsr+L/dD7f6Zk19+8V+/GRmukyIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDI7kf+4ouq5bE5ue9pn7j7t296483ILKncD+X+qN1Pc/Lgy775ZmS4PoqEQHaKhPEUCRsUCQH6USQE6EeREABYmiIhAEAMRUIRyR5FQiAzRUIgs4dec3+1NDYnP/WZz9x94O2PvblkNcr98cBn/I/V+2tOyuMFrpEiIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyOpDDz20u++TP6FaGJua1/6pZ+0efu97b0ZmTcr98tpnP6t6v03NfZ/yiY8/buDaKBIC2SkSxlMkbFAkBOhHkRCgH0VCAGBpioQAADEUCUUkexQJgcwUCYGsfu55X1Iti03Nzz3/z+4e/YjCzZqV++dnn/fc6v03NeVxA9dGkRDITpEwniJhgyIhQD+KhAD9KBICAEtTJAQAiKFIKCLZo0gIZKZICGT04Ld8U7UkNjWlRMh2RJUJy+MHrokiIZCdImE8RcIGRUKAfhQJAfpRJAQAlqZICAAQQ5FQRLJHkRDITJEQyObdP/Gaajlsal77p57llwg3ptxfr332s6r359Q89BqvlVwPRUIgO0XCeIqEDYqEAP0oEgL0o0gIACxNkRAAIIYioYhkjyIhkJkiIZDJw+959+6+p31StRg2JT/1mc/cPfze996MypaU++2Bz3hm9X6dkvI4Ko8nuAaKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIJOffd5zq6WwKbnvaZ+4+8DbH3sTyWaV+6/cj7X7d0rK4wmugSIhkJ0iYTxFwgZFQoB+FAkB+lEkBACWpkgIABBDkVBEskeREMhMkRDI4p3/+IeqZbApedXHfszu377pjTcjsmW/8cZ//vj9Wbufp6Q8rmDrFAmB7BQJ4ykSNigSAvSjSAjQjyIhALA0RUIAgBiKhCKSPYqEQGaKhEAGjzz8od39T/+UahFsSh76yZ+4GZFrUO7P2v08JeVxVR5fsGWKhEB2ioTxFAkbFAkB+lEkBOhHkRAAWJoiIQBADEVCEckeRUIgM0VCIINffsmLqyWwKfmVb/vWm9G4JuV+rd3fU1IeX7BlioRAdoqE8RQJGxQJAfpRJAToR5EQAFiaIiEAQAxFQhHJHkVCIDNFQuDavf/Nb66Wv6bk5//c829G4xqV+7d2v09JeZzBVikSAtkpEsZTJGxQJAToR5EQoB9FQgBgaYqEAAAxFAlFJHsUCYHMFAmBa/f6L3hOtfg1Nq95+tN2H/4N5/Res3L/lvu5dv+PTXmcwVYpEgLZKRLGUyRsUCQE6EeREKAfRUKI8cADD+w+6qM+6mjK3wGoUyQEAIihSCgi2aNICGSmSAhcs1/7vu+tlr6m5D0/7fvaDMr9XLv/p6Q83mCLFAmB7BQJ4ykSNigSAvSjSAjQjyIhxFAkBJhPkRAAIIYioYhkjyIhkJkiIXCtPvKbv7n78U/8+Grha2ze9q0vuxmNDMr9XXscjE15vJXHHWyNIiGQnSJhPEXCBkVCgH4UCQH6USSEGIqEAPMpEgIAxFAkFJHsUSQEMlMkBK7Vv/imv10te43NG77oC25GIpNyv9ceD2NTHnewNYqEQHaKhPEUCRsUCQH6USQE6EeREGIoEgLMp0gIABBDkVBEskeREMhMkRC4Ro988IO7Vz/l46pFr7F5/1t+8WY0Mnn/L/5C9fEwNuVx9x8fe/zBligSAtkpEsZTJGxQJAToR5EQoB9FQoihSAgwnyIhAEAMRUIRyR5FQiAzRULgGr3t7/6daslrbH7khX/xZiQyeutLX1J9XIxNefzBligSAtkpEsZTJGxQJAToR5EQoB9FQoihSAgwnyIhAEAMRUIRyR5FQiAzRULg2vynRx7Z/fgnPbVa8BqT/+VjPnb3ytf+/25GI6NHP/KR3f3P+NTq42NMyuPvPz3qHEW2Q5EQyE6RMJ4iYYMiIUA/ioQA/SgSQgxFQoD5FAkBAGIoEopI9igSApkpEgLX5u3/3++olrvG5hM/8Qt3r3zD225GI6t3vfIV1cfH2JTHIWyFIiGQnSJhPEXCBkVCgH4UCQH6USSEGIqEAPMpEgIAxFAkFJHsUSQEMlMkBK7N/U9/WrXYNSZ/+ePueXwdVCSk+LnnP7f6OBmT8jiErVAkBLJTJIynSNigSAjQjyIhQD+KhBBDkRBgPkVCAIAYioQikj2KhEBm11wkvPfee3f33HPP46l9B1P+XuK7GLge7/ju76qWusbmv/7Uv/D4OngtRcLWOlj+fVgHrYV3+/cPPlh9nIxNeTzCFigSAtkpEsZTJGzYSpGw9iFibIYPIvsHX3zoAC5h7UXCshbW1s1jGdbT/TUVYCmKhBCj9X7AZyeA4xQJAQBiKBKKSPZcQ5Fw6veO+wFyu7YiYTmPopxTUVvvWvGdDGzfT/yPf6ha6BqTP/eUT//f1sEtFwnLOlhb48bGWnjbL/zlr6k+XsbkJ5/5aTejwLopEgLZKRLGc8SxIUOR8FSGYiFAD9dWJDyVoVwIcCmKhBCj9X7A5yWA4xQJAQBirL1IWPu8fE6e9NR7ds9+4b2P58Xf80B1myKSK9dQJKytd2MD5HYtRcLyfcrcAuF+yhi+m4FtevdPPVAtc43N/+1Tv+J/Wwe3WCSMWAP34zy0O37zrb9cfbyMTXlcwtopEgLZKRLGc8SxIXuRcD8OwgDRMhUJ91MODAH0pkgIMVrvB3xOAjhOkRAAIEa2IuGxlGJhbfsicv3ZepHw3F+dAXK7hiLhuetgLb6fge1509d8VbXINSZ/4X/4tFvr4JaKhL3OPxtiPdzt3vjCL68+bsbkzX/xq29GgfVSJASyUySM54hjgyLh7fivOgGRshYJh/gvQwE9KRJCjNb7AZ+PAI5TJAQAiKFIeDsKhSL5suUiYcT3jUBuWy8SRv8C1378R5xhOx55+EO7Vz35SdUi15j8N5/652+tg1spEvZcA/eT/Tvrf/vmN1UfN2NSHpfl8QlrpkgIZKdIGM8RxwZFwnqcLAtEyF4kLHFgG+hFkRBitN4P+GwEcJwiIQBADEXCel78PQ9U5yMi15ctFwkjTh4HcttykfASBRrnXMA2/PoP/WC1xDUmP/L5z7lrHdxCkfBSJcIh2dfDn3/B86qPnzEpj09YM0VCIDtFwniOODYoEh6PE2aBcykS3okD20APioQQQ5EQYD5FQgCAGIqEx/Okp95TnZOIXFe2WiSM+q4RyG2rRcKpBZpy+f3ULnMs5fLAur3hi7+wWuAak1f8/X901zq49iLh1HUsKpnXw/e+/nXVx8+YlMcnrJkiIZCdImE8RxwbFAlPx0mzwDkUCZ+IA9tANEVCiKFICDCfIiEAQAxFwtNRJhS5/myxSBj5PSOQ2xaLhGPXwHKexL333ntzrbuVccaWcXxfA+v1H975zmp5a0xe+/l/cveK17/trnVwzUXCqe8Dj62FZZyS8rfa9Y4l83r4zz7vc6uPozEpj1NYK0VCIDtFwniOODZcQ5HwWDll+KAxfNiY+oFjCMBcWy8SHjugvb+2jj2oXXJsvQaYQ5EQYrTeD5S/A1CnSAgAEEORsB1lQpHrzlZ/kXCs1rkaQG5bKxK2vlcZMuX7lR5jApfzKy//tmpxa0x+9R985+aKhLX1qZYp54mV9W3K+b1Z18Nf/a7vrD6OxuRXvv3bbkaB9VEkBLJTJIzniGPDNRcJj5n6oeNYkQag5VqLhDVj11UHtoEoioQQo/V+wGs3wHGKhAAAMRQJx+XF3/NAdX4isv0oEgKZba1IOOY/tjznu5XW9zUl/uPNsE4//VmfWS1ujcmHf+M3NlUkHLMGlsz9jnnMWliSdT388PveV30cjUl5nMJaKRIC2SkSxnPEsSFjkXCf4gvQU6YiYVHGax0wcmAbiKJICDFa7wfW9lloeL9xLACXpEgIABBDkXB8lAlFrjOKhEBmWyoSjjnP7JzvVVrf2ZSs7XsbyO6Dv/aOamlrTH7+z33p42NsqUhYW5cOc+46NXwfXBt7P1nXw5//819afTyNSXm8whopEgLZKRLGc8SxIXuRsBhzEGZqmQagyFYkHNTG2g9ABEVCiNF6P7C2L2C2Nl/guikSAgDEUCQcn2e/8N7qHEVk21EkBDLbUpGwVWyJ+I6i9T1ICbAe/+oHvq9a2BqTf/1PXvX4GFspEvYuU+8bsxaWZPSvX/Vj1cfTmJTHK6yRIiGQnSJhPJ+cGxQJ73AQBugha5Gw17gA+xQJIUbrdbv8fU22Nl/guikSAgDEuLYiYe1XA8u/lZQiYO06U3I4tohsP4qEQGZbKRK21rKI89cGlygsAjHe+FUvrBa2Wvmnf+ApNyM89n5wI0XC2nq0n+jzwVrfC5dkXQ/L46f2uGqlPF5hjRQJgewUCeM54tigSPiE1gEfB2GAqbIWCYtTB7YjD6ADeSkSQozW+4G1fQ7a2nyB66ZICAAQI0OR8DDlMrXrjsmY8UVkW1EkBDLbSpGwVe6L1PoupARYh/vv+eRqYauVX/wrX3czwmPvBzdQJLxkmXpfa+2NLi9uxVsee/zUHletlMcrrJEiIZCdImE8n5obFAlvq40/JOuHDmC+zEVCXwgCvSkSQoytFfO2Nl/guikSAgDEyFgkLJlbJiy/algbT0S2G0VCILMtFAlb61iPc8pa2/R9CCzv3z34YLWsNSbv+eknnsNbKBIuVehrfTfcq8C4duXxU3tcjUl53MLaKBIC2SkSxnPEsUGR8DYHsIFImYuErbEBzqVICDFar9lr+yJ6a/MFrpsiIQBAjKxFwpK5ZcLaWCKy3SgSApltoUjYKtD0UtvWkF6lnf8/e38bbM9214ed1FRNVWYyU65K1VSlKm8mkzdTNS+mgNiQ0uDwJCQSEisBB8ZgDBEFg41FsA0yD46HQcElDw/zYIRgsBMP5slgbGyLhyJcCS4P0hVgSdYFla8YJGwUrpCwwFJ0wRJntO45nbPPPmv3b3X3Wt2rd38+Vd+ydc/eq9fu3Xvts89eX/5AuXd+//dmi1ol+dBzH7wb5SO/D15BkbCl3PFOc0Tp+sldVyVJ1y30RpEQODpFwvr8xTGgSPiQ4gtQ05GLhEluzCEASykSQh17K+btbb7AdVMkBACo48hFwpT0LwzmxhnL1GOISN9RJASObA9FwtzaNaTlv4Zl/YS+/ZO/9BXZolaUN7z0C+5GuLWHImFuDRrSch1MrIV56TrKXV9R0nULvVEkBI5OkbA+n5gDioQP2ZQK1KRImB83xXoKLKVICHXs7TPQ3uYLXDdFQgCAOo5eJJzzrxIqEopcVxQJgSPrvUgYrWEtv5fwnQj07ac+6ROyRa0o/+xVD/c29F4kjNaipfvLItbCvHQd5a6vKOm6hd4oEgJHp0hYn784BhQJH8sdY4g/wABTKBLmx02xngJLKRJCHXv74mVv8wWumyIhAEAdRy8SpuTGGYsioch1RZEQOLLei4RpX1pu7Upp/a9wJbnjDmld3gEu+723/Wq2pFWS9z71hrtRbu2hSJjWm0tp/f2s74fz0nWUu75Kkq5f6IkiIXB0ioT1+YtjQJHwsdwxhtiUCkyhSJgfN8V6CiylSAh17O2Ll73NF7huioQAAHUoEk4/xhe+/JXZcURkn1EkBI6s9yJhbt0askaR0BoKfXrXj/9YtqAV5cf/6Eff/OGHH+4d671IuDXfD+el6yhdT7nrLEq6fqEnioTA0SkS1ufTckCR8LHcMYbYlApMceQiYTQ2wFKKhFDH3r542dt8geumSAgAUIci4c3Nx/zxy//STS6KhCLXFUVC4Mh6LhJG30ks/T/OXML3ItCnZ77j27MFrShv/NIvvhvhniLhOL9LXpaup9x1FuXt3/nquxGgD4qEwNEpEtbnL44BRcLHcscYAjCFImF+3BSApRQJoY69fQG9t/kC102REACgDkVCRUKRo0eREDiynouEvaxfuWMPWaPMCDz25q95ebagFeWZV7/qboR7ioTj/C55WbqectdZlHT9Qk8UCYGjUySsz18cA4qED/nQAdR05CLh2HrqD9lADYqEUIciIcB8ioQAAHUoEioSihw9ioTAkfVcJEx70nLrVkrt/8P3Y3LHH2L/BWzj5z/3c7IFrSjv+rHX3I1wT5FwXC9rcY/S9ZS7zqKk6xd6okgIHJ0iYX3+4hhQJHzIhw6gpiMXCXPjDbHBH6hBkRDq2Fsxb2/zBa6bIiEAQB2KhOsc41LSWKmYmMqMlwqN6b+n26TUPHatjM1/mPva8z49r+dzGjLMOd0uN8YaGTt3Q4Y59vjcX0sUCYEjUySMWUehPz/5go/PFrSi/O6v/MrdCPcUCS+L1r+j7+l939NPZ6+zKOn6hZ4oEgJHp0hYn0/KAUXCh3LjD6n9f8EpbXBNSeNe+sNT+u8ptY8919h8t5xr7+dyj881dRy1SBiNu4bT19zY6y7dJt22B2Pz7W2u0INrLBKerl3n68CwFgzrQUorwzxSLs2j9RyuWcnzvOb5TfPJzWPI2HvP2GNJ/214LDUtmS9AbYqEAAB1KBJOP0ZujKkZK46VpEb5bcoc0m1P75vO85zH0LK0N5QHc8ctyVDYy41dM+kYS57/dH+lwrpRJASOrOciYW7NGrLW9ziJdRT68sHf+q1sOaskH/rAB+5GuadIeNml79SHrLkW9yhdT7nrrCQffPbZu1Fge4qEwNEpEtbnk3JAkfDeWn90iY4zlhobcedsvJ0z5zTX1pt4tz6Xkd7nR3tHLBLOWWNqSWOn107uuCVJj3fp/MaOn352bu6crQ9wPUXCtA708jtDizUpemyRNKfc/YYsXbcHU9fvOeY+zy3PbzLnHM95LOk8znm+ovlNydi5BJhDkRAAoI6jFwnnFM9y45RmSYEslyXFtylzSbedc79LqVmEW1ogzGXJeb2UNGbN5z+NpVBYJ4qEwJH1WiSc8/1JKz3NBbi5ec8bXp8tZkV53YtfeDfCQ4qEeSXfE3Nz89oXf2r2eovy3qfecDcCbE+REDg6RcL6/KYYUCS8FX3oWOMYUzJ3E24SzeN03BpzrrXx+lQv5/KS3ufHeo5WJIzGa7EeDNLYuWPOyZKSwdg8zh9/jTlbHziyvRcJa/6+kLJkjU1zabUmLd0gEp2nWuvglPV7qlrPdYvzm0w5xzUey9TzWev8pSx5jwfIUSQEAKjj6EXCqcWu00LdlKR55carkbmFsimPfXjcU8/XWGqU4Ho8r7nUPG/naVF6PFoUCYEj67VI2NPaNeW7HKC93/jBH8gWs6I89SVfdDfCQ4qEedEehqXf41+Lp774pdnrLUq6jqEXioTA0SkS1ucvjgFFwrKNqUs3nEYfauZmzmMv/eNSyXkpTc0PbT2dy5ze58e6jlIkTONEf0RPGdaXmmquVeeZM9+xNeD0dVxzrWhxXmEP9lokTK/ZVr8vzFkPStbvKTn/nWXpl6zROl9rDSxdv6eq/VzXPr9J6TmObjclU85pzeOW/m4DUEqREACgjiMXCef8K3ZzSlstS2SnmVp6mzKvdNsWj2NJUW/O8zcnS+aY7rvG85+OkTu+lEWREDgyRcIyuTkM8f0HrOtt3/JN2WJWlKe/8RV3IzykSPhYyffs3ErXVe56i5KuY+iFIiFwdIqE9fltMXD0ImH0R5+UJePX3PR6KVPnV7JRuMW8l5zHpMdzear3+bGNay0SDutEyRo6JN2+tvSayB2rZqbOe2xOw2u4xbxbnF/o3R6LhOm1mnsN10rNNWtJhvUuWfola3TOaq1/Jev3VHs4v0nJOY5uMyel57XmsS/9bgMwlyIhAEAdRy0Sptvl7h8lN9ZY1iiRnWZK6W3tuV1Kbm5Rej6vQ+ZeY3OjTDg/ioTAkSkSlsnNYYjvP2Bdb33F12eLWVHe8b1/526EhxQJHyr5fnjud/jX6B3f893Z6y1Kuo6hF4qEwNEpEtbnL46BoxYJoz/2nCZ9MJmjxWbbS5lyDqJ5tZz3tZ3LQe/zYzt7LxLWytzX/pj0Wsgdq0WmzH9sXulnU95/psTawBHtrUi4xrpVa72qkWFdWvola/ReVes9Zux8zFlj93J+k5JznPvvNVLy/NU8vi/SgdoUCQEA6jhikXBuCW1qUWutfzHvPKWlt16KhFP/lcfez+uQ3Bito0w4L4qEwJH1WiSs/d3RUrl5DPH9B6zrTV/9VdliVpR3/ehr7kZ4SJHwXul3w9xL11XueouSrmPohSIhcHSKhPX5jTFw7UXC9MEiJf3BJN1u7I88uSz5Q8ucY51m6nzTbUss3Yg7zGvq/FJK53hu6nHWOpeD3ufHdhQJ2/zBeuq802sm97rL3fZS0jFLTB33NOm+p8ndZiylc4Rrsaci4ZK1YUpK14G0DubuH2XqOjWsubmfDYlEa36ttW/s8aSfTVFybs4znNPT5G53mhrnN4nOcZSp8z5Nun1k6fxOk84XQE2KhAAAdVx7kTD971Q8S1lanDsdN0o6bm6MNVJaJuulSJiSm18uezivKVue26mFR1EkBI5NkbBMb/OBI/vFl31ZtpgV5dmfzq9tioT3xta6Ib7zfejZ1z2Rvd6ipOsYeqFICBydImF9/uIYuIYiYass+SNL9IfwIekYJZufS8crGWvORtySD18lH+JSpn6Q6/lcJr3Pj20pEt6n9DVQIjd+LiXrTZpTyfqVblOiZKzTlJyXKc8THMleioSl7+1D0u0vrQvpZ2PrTMk6O2VNKVmjojlF62Ikmm/JYy4RPYZSU57vsed60Pr8JlOuiSElc4/mNiSNNWbO/C4lOhbAVIqEAAB1XFuRsFWmlMhS5hbJ0v1S6TGVwYbM+Rf40n1y8zrNlmW385SW33L3LUnunM55/CXndc7zlVLruU/JzUsuR5EQODJFwjK9zQeO7A1f9IXZYlaU977xqbsRHlIkvFXy/bL17rH3PPWG7PUWJV3H0AtFQuDoFAnr8xfHgCJhPks+cJRudI023p5Lt48+LJXMe8pG3KnnoWTsKWNey7ncan5sT5HwcZZeu9FrI2XOMaIvMFNKXssl8xsydW0oGXvqmLBneygSTllnp75+c+tWyRjn97mUOevJlDVwSCQ6h3PmmTM299L3lWiuQ9J4U+edbt/i/Cal804pPReDkrFrjzn13AIsoUgIAFCHImGcVPDKze1S5pS/omOkUtnU4ltunNPMKdINGUpvp+MtKb6dj5XL3POa5pUbb0jt85q7T5To8afHkLvfpZScT7mPIiFwZIqEZXqbDxzZz/+pz84Ws6K87+m33o3wkCJh2V4Da11euq5y11uUdB1DLxQJgaNTJKzPXxwDioSPs/RfqSj5ULNkc2s0fjT/0o3Ccz94lYxfqvdz2fv82J4i4eXMeW2UzHfu2pWUjB8pWRdS5q4N1gW4t4ciYe51ep4l61Zyui5Ea0taI06PnUvN+ZQkEq3Nc9fTc2PzLj0nufuep7fzm5S8/6XMnXvJ+FOsdU0AlFAkBACoQ5EwTlREO09ujLGkIltunFymlN6iMtnUAt2Q2qW3IbmxTpO7z1i2OK/pZ7n7jKX0+pp6XnNjSD6KhMCRKRKW6W0+cGQ/85LPyBazorz/13/9boSHjl4kLP2+2vfAeem6yl1vUdJ1DL1QJASOTpGwPn9xDCgS3qfGH1VKPtTU+ECTG3dI9DjW+OA19serlBK9n8ve50cfFAnHM/U1Eq0tNV4T0ReZ0ZyjOaYsmWf0nCkSciS9FwnXKO0NhrVhbI2K1o+UWvMpWQuHRKJ5jz3mKcbmXHJe9np+k5K5pyw519Gcp1jrmgAooUgIAFCHIuF4ppYIpxbJppTdhuTGuZTc/YfMKRKWzndOmTA3zpDa4+Uy5Xzk7p8y9ZxGpczzTDkPU8c+chQJgSNTJCzT23zgyJ544Sdni1lRnnv3s3cjPHTkIuEa31Vfu3Rd5a63KOk6hl4oEgJHp0hYn784BhQJb/+YUuuDRvQH8FoFjyV/aC/58LV0njXOQ40xSkTHuaT3+dGHvRcJ0/WXbnMp6ecpaR0d+6P1WNI4pXL3P00tubGHRK/tkvOwVG7M08BR9FwkTGtb7vV5mtpf6A1r8yXR7xQpNZW+L0SicznlfWTM2HxLnqvo8dZ+vmud36Tkeo3e/yLR9Tdl/LWuCYASioQAAHUoEl7O1BJhSusiWcqUMtnYY5hTJMyNcym5+4+l5lznPHdTSqC5523K85KSHtP5GCXJjXUpufvL4ygSAkfWa5Gwt7Vr6XdZQD0/+YKPyxazonzo/e+/G+GhIxcJc2vaeZZ+V33t0nWVu96ipOsYeqFICBydImF9/uIYOGKRMP3xJH24aPEBI3e809Q09w9EJRuFa2y+zY07pOTc5+53mprmnMvcbU9T09znmu1dQ5FwqnSfsWs2lxJp3Nx9h9Rc05cUFKLHXuM1G50LOIqei4TR63SL9+/cPE5T4/e/c7njnCeyZE2eYmz9jp6vaI4pvZ7fZK3558YdMuV9PJpvi3MNcIkiIQBAHYqEjzO34JWSG+9S1jjOWFFxajlv6nynFPNSxsp/uduPJTdGSUrPSe5cTH28Y8/NWKYUFucUKo8YRULgyBQJy+TmMGTK9yzAcrlSVkn+8A//8G6Eh45aJIz2WKVssbdibz784Q9nr7eSQC8UCYGjUySsz18cA9dQJEwfFtIfRIbkbnOaVh8uog2ttf9oM/ZYxx5jyUbhGnLjDonORe/nci/PNds7YpHw1Ni1e5qS6zjdJnffIbXljjEknbdLonnWWB+i8wpH0XORMPfaPM3YOtJCtN63+n0iWhNTItHca53LsblG5ydal2us/Tk1zm8SneOUGnLjDplyjta6JgBKKBICANShSHifJcW+lLWKZClTjpW7f8rUIuHU+U79F/oujV9rnJKUntfctTL1fJ7ff0py4+WiSFgWRULgyBQJy+TmMKTVd1FA3ux/kfADH7gb4aEjFglLvuuOvqfnln+RkGugSAgcnSJhff7iGLiWIuGpko2wLf6AssUfkHLHGXJJdH5qnZuxD3vRh7zez+Venmu2d/Qi4aDkjz/Rpv/cfYbUmuepsdf52PGix1pD9LxF5xKuRa9FwrXW1inG1rSUlutG7niniay15i353TVa+3s+v8la1+ySc3xqrWsCoIQiIQBAHYqEywpdp5lS7ktZUnir8a/StS6+1SoATj2vS8pzU451ft/cbS5laWk1N2YuS66xI0WREDiyXouEvX0fkZvDkC2+f4Qje+KFn5wtZkV57rfffTfCQ0crEka/Gw6hzHPvfjZ7vUVJ1zH0QpEQODpFwvr8Nhm4xiJhUvJho/YfdKINxC3kjjPk0uOL/tDVw0bh3s/lXp5rtqdIeC963YytC2vOczD2PjI21zXWh+h8WBM4il6LhNHvoVu8Rrf43WWw9NhrrXlj8xxb95PcfYZE912qxnMbneMePh+cWuuaACihSAgAUIciYb1/tW1qMW+tbFUkTMmNcymXSm97OK9TS5NrZWlh8ShRJASOTJEw5rsR6MvPvOQzssWsKO9/xzvuRnjoSEXCaD0bYl0r9/5f//Xs9RYlXcfQC0VC4OgUCevzF8fAtRYJk2hTbUpNufFPk+ZTO7njDLm04Tf6MNbDRuHcfU5zeg5qJXecIefnJHeb0+TGX5rccYbUes6oT5HwodwxTnNJmkfu9qfJvW6WJnecIZfMvd8U0fPmj2kcRa9Fwtzr8jRbyM1jSFq3WorW8Mhaa97Y+j12jtZ+Lz239Pwmaz2Guef43FrXBEAJRUIAgDqurUg4t9BVo0yYG7eH1CjozS2k5ca6lEvzzN22h5zON/3/c7fpIafnUvJRJASOrNciYZJbs4a0/g7olHUU+vLzf+qzs8WsKL/7K0/fjfDQUYqE0fe8Q3zfO837nn5r9nqLkq5j6IUiIXB0ioT1+aQcuOYiYckHjykbViO58bfMpT9YrbXxdslG4dx9tsz5uczdZsus+cdJplEkfCj64/al40X32yKXLFn7Sq21jkPv9lgk3Oo9OzeXIa3nFK3hkd5/d916TV56fpPez/G5rc85wClFQgCAOq6xSDinTFjjX27LjdtDFAnbRJHweqJICByZImGs1ncsQB1v+KIvzBazorz3jU/djfDQUYqEY2vZEGvadOm6yl1vUdJ1DL1QJASOTpGwPn9xDFxzkTCJ/iCdUmOjabSZdYtcOi9rbbwd++A39pz1fi739FyzPUXCx3LHGXLpWh5bT7bKpbVybK61XqvR83ZpbnBteiwS9vj63HpO0fEja81/7vq99QaYpec36f0cn1trvgAlFAkBAOq4xiLhnPulLP1XCXNj9pA9FwnnlELXyuk5mXIu187S6/oIUSQEjqznImEv61et71iAOn7xZV+WLWZFefZ1+bXtCEXCsXVsiPVsnmd/+rXZ6y1Kuo6hF4qEwNEpEtbnL46Bay8SJiUfQpZuNo02s26RS+dlrY23Y+d97Dnr/Vzu6blme4qEj42tDSk50X22yKW1cmyutV6r0fN2aW5wbRQJy/Qwp9xxh0TWmv/c9buHL5Bzxx1SovdzfG6t+QKUUCQEAKjjWouEcwtoc0tXeym8nUaRcFkUCa8nioTAke25SLjWdxK5Yw9psa8DGPemr/6qbDErym/+6GvuRnjo2ouE0Vo6hHne9ZHrKne9RUnXMfRCkRA4OkXC+vx2GThCkTDaaJoyZeNqTskx1s6lx7TWxtu5G4V7P5d7eq7ZniLhY3O+KBxbT7bKpbVy7to3RfS8XZobXBtFwjI9zCl33CGRteY/d/2e875WW+64Q0r0fo7PrTVfgBKKhAAAdVxrkTBlTrlrbmFOkTCf3FiXokjYJoqEcRQJgSPruUjYw3cS1lDoz1tf8fXZYlaUd3zv37kb4aFrLhJG6+gQ3/HO947v+e7s9RYlXcfQC0VC4OgUCevzaTlwhCJhUvKBZElhpvQDz5q5dF6iudb6UDZ3o3Dv53JPzzXbUyR8LPojd24NGltPtsqltXLu2jdF9LxdmhtcG0XCMj3MKXfcIZG15j93/e7hy9vccYeU6P0cn1trvgAlFAkBAOq45iLh3BLanOLVXgpvp1EkXBZFwuuJIiFwZD0XCZPcujWkxZ6Kc2Pfr6QA63vbt3xTtpgV5elvfMXdCA9da5Ew+l53iO93l0nXVe56i5KuY+iFIiFwdIqE9fm0HDhKkTCJ/rCSMvdDyZ42s64117kbhXs/l73Pj74oEj5Wu0hY+h6wljXmah2CW3ssEq7xZWJObi5DWs8pOieRtda8uet39L7W2tLzm/R+js+tNV+AEoqEAAB1XHORMCWV03K3izK1fDWn8Jbus0Zy80251iLh+eNvmWGeU4uE6fa58Vrk9HxKPoqEwJH1XiTceg3LHXNIrT0IwDS/8YM/kC1mRXnqS77oboSHrrVIOPb98BDr2HJPffFLs9dblHQdQy8UCYGjUySsz18cA0cqEia5+59nrtxYQ7baNJ6zh43CufsM6eFc5uY1pKfnmu0pEj4W/ZE9twZF9+nJkrWv1FrrOPSuxyJhkntdDtnq94TcXIa0nlO0ZkXWWvPmrt9br8lLz2/S+zk+t/U5BzilSAgAUMe1FwnnjJEypziXG2csuTHWzB6KhFPHSMmN0TpTC6uXHqtsE0VC4Mh6LxJu+b1EtH5u9d0jHN173vD6bDEryute/MK7ER66xiLh2HfDQ6Z8R8xlr33xp2avtyjvfeoNdyPA9hQJgaNTJKzPXxwDRysSRn/cSZn7ASU31pCe/nCz1h+4xj4MRuc4d58hPZzL3LyG+CMdpxQJHxtbG1Jya1CaR+62Q3qyZO0rtdY6Dr3rtUi4xjow1ZZzWrqGr7XmLTlHufsMaf27YY33yD2c41NrzReghCIhAEAdRygSpv+Wu22Uqf+aW26MseTGWDOKhPWiSLjvKBICR9Z7kTDJrV1DWn7XNvbdSgqwjQ/+1m9li1kl+dAHPnA3yr1rKxJGa1dKy7XzSNL1lLvOSvLBZ5+9GwW2p0gIHJ0iYX0+MQeOViRMoj9Sp8zZ8Dv2AainDz572Cjc+7nsfX70Q5HwsdxxTpOzp8LAGuvDns4HtLTHImHKFracU+54p4ms9V6VG3tItH7n7jOk1tp/Se6Ypymx1vvK2HU45Tx5HwR6okgIAFDHEYqEKVNKc6eZUibM3X8sU4uKtbOXIuHU526L85qOmZvLpcw9n9ImioTAke2hSBitY62+m8gda0jr76CAcT/5go/PlrOivO/pp+9GuHdNRcLou9whvtOtI11PuessSrp+oSeKhMDRKRLW5y+OgSMWCZOxTaxDpn5YicbsRfRhrdaHtLHzET1nvZ/LvTzXbE+R8KHoeJfWhrXnucSSta/UWus49K7XImH0ReIWa9ZWc4rWq5QSufsNqTX33NhDomNs9bthrfO71vtKrffIteYLUEKREACgjqMUCacWvYZMKXzt7V+lu9Yi4Rbndc71lRtHtokiIXBkeygSRt9NtPiuLfr+yfchsK2f/9zPyRa0orzrx15zN8K9aykSRmvlEOtXPel6yl1nUdL1Cz1RJASOTpGwPn9xDBy1SFj6oWWK6I/fLf5olKTHP2Xs6LHX+qC2ZKNw7+ey9/nRD0XCh3LHOM3Y8XK3P00LaT4pU9bFJWtfqbXWcehdr0XCJPfaPM0WcvMYUmt9OpfW0NzxTlMid7/TLBXNc+z9KVl6/7lqnd+13ldqvUd6HwR6okgIAFDHUYqEKVOLfkPGxjzN1DLZksJbOtaQ3M9Lspci4dTnbe5cU5ac09xcxrLkuVv63MvDKBICR7aHImGSW79OU/P7iei7kFbf7QHl3vw1L88WtKI88+pX3Y1w71qKhLn16jytvjs/qnQ95a6zKG/6yPULPVEkBI5OkbA+f3EMHLVImJRsvJ06dm6M09R2+hjSXEv+KLXWxts0n9z4KSXnNXe/09Q29VyeziWX2uY812xPkfBeyZo7dl1H968518Gc8ZeufSWi5836wFH0XCQcWwtSaq0HU0Rzqr12RGvVkBLR3JeK3mNKzk3ufqepreb5jcaqdW2MPY9TXhNrzReghCIhAEAdRyoSpuTuU5LS0lbuvmOZWwY7LwGm/50KdymlJbO9FAlTcrcfS26MkuTO6+m5zd1nSPr56X2jRONdSnpuz8c6nePca+rIUSQEjmwvRcLo+4ma3/9F34212B8BTPP273x1tqAV5Y1f+sV3I9y7hiJhtG6l1FwnuZWup9x1FiVdv9ATRULg6BQJ6/MXx8CRi4RJyQeYKRtRo/Fqfhi69Aeq6BhrbbwdOxcl56H3c9n7/OiDIuGt6DhDxpSMkW5Ty6XXeHSMsbWh1ms2Ohc1zwP0rOci4dprVpLGGxsz2qiRUtPYeniaEjWKfmOiuZaIxqj1HjCoeX6j67XWtTo25ynnZ635ApRQJAQAqONoRcJcCaskpUW68yJalDllsqmP4dI5mTLX0sd/ntxYlzJ2Lqae1znznXJe0/jn53XOtXXpuRnLlHMxt6x4tCgSAke2lyJhklvDTlNjj0W0Ztb+zgmY510//mPZglaUH/+jH33zhx9+uHds70XCku+urV31pesoXU+56yxKun6hJ4qEwNEpEtbnL46BoxcJo02oQ0o3o5aMV2Nja8lxLv1xKrpvjfklYx8QS56z3s9l7/OjD4qE5UWHktdLNNaS94NTJXO+ZOy+teYXPW811h7Yg56LhEnJWlLr9TqsC9F458c/z5rr6JAS0bqXMletL2NL5rjX8xtdV6XG5j3l3Kw1X4ASioQAAHUcrUiYMrWUNqRk7NZlsjnj58ZJmXIe5hTzUnJjXcpY6S39LHefsWxxXnO3G8vU8zr12lUkLIsiIXBkeyoSlnwftOR7itbjA/X83tt+NVvQKsl7n3rD3Si39lwkjH7PG0J96TrKXV8lSdcv9ESREDg6RcL6/AYaOHqRMCn5I8yUY5Rs7G39R6OUS8eI7r9kbqdqbBTu/Vz2Pj+2d9QiYRq39A9FKaVrQslronSsS0pe12PHGLv/0rkNovNgTeAoei8SJrnX6HmWrg2n6230+i9Zm5fOZ2wdzKVU7r6nmTPvkveVKe+FJY+9x/O71vvK2NynnJe15gtQQpEQAKCOIxYJ55TGhpSMn7tflFbzrvWv/G1dJEyZWqJLWfu8zhmr9NzOefy5ceRxFAmBI9tTkTAp+a5mzncVa3yPB9T1U5/0CdmSVpR/9qqHexv2WiSMvrcd4vvbNtJ1lLu+oqTrFnqjSAgcnSJhff7iGFAkvFXyR57STcSlH5DmzLvkj0YpYx++ovnV+uA2dk5LH/vez+WQrebH9o5SJEzjpJRet+eZch2PrS2nmfraSLcvGTt6PY+NMWctyElzzY0/ZOpjh73aQ5GwdF1M60PpmjvIrQUlr//StW7qWpJuXzL2eUqVnMsp62zu/OUyRemYU+Y5aHl+o3mnn9cwNv+az12t+QKUUCQEAKjjiEXClDn/wl1KSelrTpksJY2dm3+a65wSWcr5WKeZMmbJ484lN9alREXCJc9Zbux0rluc19ztS5LmeOn5z90+SnQ+5T6KhMCR7a1IGH1PMWTKdx+l3wEBffknf+krskWtKG946RfcjXBrj0XC0rVw6j4IyqXrKHd9RUnXLfRGkRA4OkXC+nyCDigS3suNfZ7STamlm8ZTog9L6ZhTxovOR/QhrvQxRsb+yDXlOev5XCa9z49t7b1IuEbmrDm5cXJJr5Fo/PSaG1uvzhONNzZWrdds9LzNOaewR3soEiZT1ph027QuXfqdIb2+x35XKHn9R2vIaYb5jInmFD3+KXL3zyXN59K5SD8rfU6ix54z9fmOnrM1zm90TURzLDU21/SzUmvNF6CEIiEAQB1HLRKm5O5fkpJjzC2o1UxUJNtbkTClh/MaPf/p57n7rZm5z9dRo0gIHNneioRJ9F3FaS59bzXlO6sU339Af975/d+bLWqV5EPPffBulI/8PrjDIuGU9at1jrg+pusnd12VJF230BtFQuDoFAnr8xfHgCLhvdI/8pSa82Ep3ec0uduMJd0nEj3OWh+sxuZfMs9Tc8/FaXK3GUu6T6m5458md5uxpPvQP0XC8cxdb+bOe+nrrmS+Y+Omn9UQPf655xX2Zi9FwmTOmjMnpa//OfNJ9zlN7jbnSberuUEkGqtm0tznKj0/pxnO65Dcbc6Tblfj/K71vjL2uNLPSnkfBHqiSAgAUMeRi4RLCl+9l8lKimR7LBKm5O67VkrPw9x/RbBWprwORJEQOLY9FgmTvXxvBbTze888ky1qleS3f+7+O829FQlLv89eK0f8fjhdP7nrqiTpuoXeKBICR6dIWJ+/OAYUCR8q+SPPlOOt+aGpdF572yg86PFcnup9fmxDkfBylq41a8+9dL5ja0Gt12702JeeW9iLPRUJkzV+V5jy+m89n2HNq71BZI3zmLJ0Ld3T+V3rfWXsnAyPp8Ra8wUooUgIAFDHkYuEKVPKdKcpKZRtVSYsLbtNeeylY54nN9allBYJtyxp5uZzKXOvraUpPY9yH0VC4Mj2WiRM1vjeasp3KMD6XvuiT8mWtaI8/d98w90IH/l9cEdFwjXWvak54vfD6frJXVdR0vUKPVIkBI5OkbA+f3EMKBI+VvJhZ8qHj97+aLTWxtuxxz33OevtXJ7rfX6sT5HwcdIXhbWsNf9aa36t1+9a6zj0bm9FwqT17wpTX/+t5nO63rXYINLbebxkL+d3rfeVsfNx+pgia80XoIQiIQBAHUcvEi4ppZUca4vSW+k52GuRMKXn83qatcuEc5+no0eREDiyPRcJk5bfW035/gTYxpu+5uXZwlaU//4/fMHdCB/5fXAnRcLoe9qtcsTvh9P1k7uuoqTrFXqkSAgcnSJhff7iGFAkfKz0A8+UDyAt/2g09YNQ9PhqfbAae8xLnrOezmVO7/NjXYqE90lfELa4hls+hjlrVau171T0mK0VHMUei4RJeo22+n1hzus/2sAxNedrXasNIj2dwzG159ni/K71vjJ2Ls4f15i15gtQQpEQAKCOoxcJU1KBLTdWSUqOt1bpbWqJbM9FwpQ1z+uc62rIlPO8JP4lwvlRJASObO9FwiT67mJOfN8B+/DPf/iHsoWtkvwPP/Hjz4+xhyJhi3WuVo62XqbrJnc9lSRdr9AjRULg6BQJ6/MXx4AiYV7Jhuqpx00fWMY2z05NmuOcD0HRh7paH6xqbRTO6eVcXtL7/FjP0YuE6dpNWUM6Tm4Oc5Jev3Pn3XLtG0TPm/WCo9hrkXBQc90aMvf1n+5X43eX3NoZPc4laq/9rdbPNM8a5zc3vxrnN42bu++QWuel1nvkWvMFKKFICABQhyLhbXJjlaS0YJfm1bJQNqfoN2U+c8ZPyY11KXOKcK3Pa61y3pKyapT0+JcUHUWREDi2aygSJun7iRrfB7X8zgqo7wO/8c5sYaskv/wX/6vnx9hDkbDG+tYqR1sz03WTu55Kkq5X6JEiIXB0ioT1+YtjQJHwspIPP3OOvfQPR+mP7Es+/KT75sYdUuuD1dhjrPWcbX0uI73Pj/aOVCRM13q6Zre+btPxc/MryfAYlhh7zaef1RA9b9YNjmLvRcJBWnd6+X1h7lzG5pB+lrvPkKXScaNjjKXG2l9qyfm9pMb5Xet9Zeyxp5+VWmu+ACUUCQEA6lAkvE26X268kkw55pLj5LKkRHYNRcIhtYt6Lcp5abwp57wktYqOR48iIXBk11IkHKTvKeZ8H7Tmd1ZAXT/32Z+VLW2V5Pd/53e6LxLOWdPWzJG+H/799743ex2VJF2n0CtFQuDoFAnr8xfHwF6KhNcq/QEoZezD1nAbG2LH9X4ue58fbfReJLxm6XU0vKZyr7eU4Q/xKcD+XEuR8FRaj9LaNPb7wrB2tf59IZrLGnOYalj7o/M3nMMt1Tq/6Xa5+w8BoC1FQgCAOhQJ77Ok5DX1uOn2uXFKU6PoNuXxptvmxoiSG+tSapTi0hhLnsd0/6XnNUoaf0nxMT0+BcK6ufYiIcCYaysSDk73LOS+D+rlOytguV/7m9+VLW6V5B3f+z27+BcJ6cM7vu97stdRSX7tb33X3SjQH0VC4OgUCeuzczKgSAjQjiIhQDvXWCSEqRQJAbalSAgAUEfvRcJrTyqVDcWySwW49N+H8pgCWXmGc3rpvKYM57V1efBSouc+ZXgMnvt2USQEjuxai4TAcfyPv/mb2eJWSV7/BX9akZBiv/BnPi97HZUkXafQK0VC4OgUCeuzczKgSAjQjiIhQDuKhKBICLA1RUIAgDoUCUXk6FEkBI5MkRC4Bm/8s1+SLW+V5B9/999/tA4qEnLuPU+9IXv9lCRdn9AzRULg6BQJ67NzMqBICNCOIiFAO4qEMF4kfNGLXnR3KwBaUSQEAKhDkVBEjh5FQuDIFAmBa/AvfuQfZAtcJfnRL3jpo3VQkZBzv/wVL8tePyVJ1yf0TJEQODpFwvoUCQOKhADtKBICtKNISE+efPLJ54t7l9KKIiHAthQJAQDqUCQUkaNHkRA4MkVC4Bp86LkP3vzEH/uYbImrJP/7T/uLD9ZBRUJO/cu3vDl73ZQkXZfp+oSeKRICR6dIWJ8iYUCREKAdRUKAdhQJ6Ukq7eXKfCktC31jx00lQwDaUiQEAKhDkVBEjh5FQuDIFAmBa/GWv/K12SJXSf7yf/AZD9ZBRUJOvenlX5m9bkry5q/7mrtRoF+KhMDRKRLWp0gYUCQEaEeREKAdRUJ6MvYvA6a0kjvWEEVCgPYUCQEA6lAkFJGjR5EQODJFQuBavPtnn8wWuUrzv/u0r/qf1kFFQga/+7ZfzV4vpUnXJfROkRA4OkXC+hQJA4qEAO0oEgK0o0hIT7YoEj755JPZYw1JPwegLUVCAIA6FAlF5OhRJASOTJEQuCY//Sf+42yZqyR/4QX/6f+0DioSMvinf/XrstdLSX7mJZ9xNwr0TZEQODpFwvoUCQOKhADtKBICtKNISE+iUl+Lfx0wOiYA7SkSAgDUoUgoIkePIiFwZIqEwDV55w98X7bQVZr/7af95efXQUVCkn/1zDPZ66Q0v/F3v/9uJOibIiFwdIqE9dk9GVAkBGhHkRCgHUVCepMr8w150YtedHeretKYuWMNAaA9RUIAgDoUCUXk6FEkBI5MkRC4Nq998Quzpa6S/NWPf9Hz66AiIckvffmXZa+TkqTrEPZCkRA4OkXC+uyeDCgSArSjSAjQjiIhvYmKfTX/VcIt/gVEAB5TJAQAqEORUESOHkVC4MgUCYFr8+v/37+dLXaV5pM/6UsUCbl512v+cfb6KE26DmEvFAmBo1MkrE+RMKBICNCOIiFAO4qE9CaV93KlvtOkAmANUWmx1nEAGKdICABQhyKhiBw9ioTAkSkSAtfmDz/0oZuf+uQ/ni13leS/+9iPu3nNL7ztbjSO6MN/8Ac3r/30T8teHyVJ198fftgeRfZDkRA4OkXC+hQJA4qEAO0oEgK0o0hIj6KCX8rSkl/JMQBYhyIhAEAdioQicvQoEgJHpkgIXKO3/3++I1vwKs2Pvvyv3I3EEb3tW785e12U5te+6zvvRoJ9UCQEjk6RsD47KAOKhADtKBICtKNISI9K/lXClHS7qVIBcY2iIgDlFAkBAOpQJBSRo0eREDgyRULgGn3oAx+4+ckXfHy25FWa3336rXejcSTve+s/zV4PpUnX3b/+yPUHe6JICBydImF9ioQBRUKAdhQJAdpRJKRXJWW/lHS7kkJhKgaWFhTTmACsR5EQAKAORUIROXoUCYEjUyQErtU/+7b/d7boVZo3fukX343EkaTnPXc9lCZdd7A3ioTA0SkS1qdIGFAkBGhHkRCgHUVCepYr+UVJJcDz5G43Fv8aIcC6FAkBAOpQJBSRo0eREDgyRULgWv3B7/7uzU990idky16left3vvpuNI4gPd+566A06XpL1x3sjSIhcHSKhPUpEgYUCQHaUSQEaEeRkJ6lQl+u6NcySoQA61MkBACoQ5FQRI4eRULgyBQJgWv2Gz/0g9nC15T89s/5HvgI0vOce/6nJF1vsEeKhMDRKRLWp0gYUCQEaEeREKAdRUJ6t2aZUIkQYBuKhAAAdSgSisjRo0gIHJkiIXDtnvril2ZLX6V53YtfePP7v2NP7zVLz296nnPPf2nSdQZ7pUgIHJ0iYX2KhAFFQoB2FAkB2lEkZC9e9KIXZct/taJECLAdRUIAgDoUCUXk6FEkBI5MkRC4du97y1uyxa8p+eW/8OV3o3GN0vObe96nJF1nsFeKhMDRKRLWp0gYUCQEaEeREKAdRUL25JWvfGX1QmEaT4kQYFuKhAAAdSgSisjRo0gIHJkiIXAEv/rNfz1b/pqSX/uu77wbjWuSntfc8z0l6fqCPVMkBI5OkbA+RcKAIiFAO4qEAO0oErJHNQqFaQwFQoA+KBICANShSCgiR48iIXBkioTAEXzouQ/evPbFn5otgU3Jsz/z03cjcg3S85l7nqckXVfp+oI9UyQEjk6RsD5FwoAiIUA7ioQA7SgSsnepEDgUCy+VC9N/H26nPAjQH0VCAIA6FAlF5OhRJASOTJEQOIrf/Ec/ki2CTclPfNzH3vzLN7/pbkT2LD2P6fnMPc9Tkq4r2DtFQuDoFAnrUyQMKBICtKNICNCOIiEAsDVFQgCAOhQJReToUSQEjkyREDiSX3zZl2XLYFPyxAs/6eb9v/6RXyLZrfT8pecx9/xOSbqe4BooEgJHp0hYnyJhQJEQoB1FQoB2FAkBgK0pEgIA1KFIKCJHjyIhcGSKhMCRPPfb77554oWfnC2FTcnPftZLbp57z3vuRmVP0vP25Gf+iezzOiWpiJiuJ7gGioTA0SkS1qdIGFAkBGhHkRCgHUVCAGBrioQAAHUoEorI0aNICByZIiFwNM++7rXZYtjUvP6//PybD/+Bos2epOfr9V/4+dnnc2re/dOvuxsV9k+REDg6RcL6FAkDioQA7SgSArSjSAgAbE2REACgDkVCETl6FAmBI1MkBI7omW//tmw5bGp+6cv//N2I7MEvvuzLss/j1Lz91a+6GxGugyIhcHSKhPUpEgYUCQHaUSQEaEeREADYmiIhAEAdioQicvQoEgJHpkgIHNUv/vk/my2JTU0qE/qXCfuWnp9aJcJffNmfuxsVrociIXB0ioT1KRIGFAkB2lEkBGhHkRAA2JoiIQBAHYqEInL0KBICR6ZICBzVB5999uaJT/nEbFlsal7/X37+zXPvec/dyPQkPS+v/8LPzz5vU/PEp37S89cNXBtFQuDoFAnrUyQMKBICtKNICNCOIiEAsDVFQgCAOhQJReToUSQEjkyREDiy33rtE9nC2Jz87Ge95Ob9v/6RXy7pRno+nvzMl2Sfrzl59nVP3I0M10WREDg6RcL6FAkDioQA7SgSArSjSAgAbE2REACgDkVCETl6FAmBI1MkBI7uR//KK7KlsTl54oWfdPMv3/ymu5HZ0u+86Z88/3zknqc5eebVr7obGa6PIiFwdIqE9SkSBhQJAdpRJARoR5EQANiaIiEAQB2KhCJy9CgSAkemSAgc3T9+6u03/5cXfGa2PDYnP/FxH3vz7M/89N3obCGd//Q85J6fOfmVV/61u5HhOikSAkenSFifImFAkRCgHUVCgHYUCQGArSkSAgDUoUgoIkePIiFwZIqEwNGlImFa+/7Sf/CfZEtkc/Nr3/Wdd0dgTem8556PuXnz13713chwvRQJgaNTJKxPkTCgSAjQjiIhQDuKhADA1hQJAQDqUCQUkaNHkRA4MkVC4OiGImHK13/8i7Jlsrn55b/w5Te//zv2A68hned0vnPPw9z80sv+3N3ocN0UCYGjUySsT5EwoEgI0I4iIUA7ioQAwNYUCQEA6lAkFJGjR5EQODJFQuDoTouE//P/6BU33/zHPilbKpub1734hTe//XNP3h2NFtL5Tec5d/7n5vVf8KdvPvTcc3dHgOumSAgcnSJhfYqEAUVCgHYUCQHaUSQEALamSAgAUIcioYgcPYqEwJEpEgJHd1okTPm3Pv2/vvnRT39xtly2JG//zlffHZGa0nnNne8l+Zn/7D+9ee633313BLh+ioTA0SkS1qdIGFAkBGhHkRCgHUVCAGBrioQAAHUoEorI0aNICByZIiFwdOdFwpTX/MPX3jzxKZ+YLZktyRu/9Itv3vfWf3p3ZJZI5zGdz9x5XpL0vP+rX3v73VHgGBQJgaNTJKxPkTCgSAjQjiIhQDuKhADA1hQJAQDqUCQUkaNHkRA4MkVC4OiyRcI3vv35Mln6l+lyZbOledu3fvPNh/9ASWeOdN7S+cud16VJz7cSIUekSAgcnSJhfYqEAUVCgHYUCQHaUSQEALamSAgAUIcioYgcPYqEwJEpEgJHd6lImDz32++++YU/83nZ0tnSvPbTP+3mXa/5x88fhzLpfKXzljufS/P6L/jTzz/fcESKhMDRKRLWp0gYUCQEaEeREKAdRUIAYGuKhAAAdSgSisjRo0gIHJkiIXB0Y0XC5EPPPXfzSy/7c9nyWY380pd/2c2/euaZu6ORk85POk+581cj6flNzzMclSIhcHSKhPUpEgYUCQHaUSQEaEeREADYmiIhAEAdioQicvQoEgJHpkgIHF1UJBy8+eu+OltCq5V/+le/7uZ33/ard0cjSecjnZfc+aqVN3/tV98dDY5LkRA4OkXC+hQJA4qEAO0oEgK0o0gIAGxNkRAAoA5FQhE5ehQJgSNTJASOrrRImPzKK/9atoxWM296+Vfe/Mu3vPnuiMeUHn86D7nzUzPp+QQUCQEUCetTJAwoEgK0o0gI0I4iIQCwNUVCAIA6FAlF5OhRJASOTJEQOLopRcLkmW//tmwprXZ++StedvOep95wd9RjeO9HHm963LnzUTvpeQRuKRICR6dIWJ8iYUCREKAdRUKAdhQJAYCtKRICANShSCgiR48iIXBkioTA0U0tEia/9donbp741E/MFtRq5xf+zOfdvOP7vufm99/73rujX5f0uN75kceXHmfu8dfOE5/yic8/f8A9RULg6BQJ61MkDCgSArSjSAjQjiIhALA1RUIAgDoUCUXk6FEkBI5MkRA4ujlFwuSDzz5784t//s9my2qt8st/8b+6+R9+4sfvZrBv6XGkx5N7nK2Snq/0vAEPKRICR6dIWJ8iYUCREKAdRUKAdhQJAYCtKRICANShSCgiR48iIXBkioTA0c0tEg6e+fZvy5bWWua//w9fcPP0f/MNN7/9c0/efPj3n7ubSd8+9NwHn59vmneaf+5xtUx6noA8RULg6BQJ61MkDCgSArSjSAjQjiIhALA1RUIAgDoUCUXk6FEkBI5MkRA4uqVFwuTZ17325rUv/ORsgW2NvOGlX/B8Ue69T73h5g8/3MfeuDSPNJ9/9qq/8fz8cvNeI0985HlJzw9wmSIhcHSKhPUpEgYUCQHaUSQEaEeREADYmiIhAEAdioQicvQoEgJHpkgIHF2NImHy3G+/++YXX/Zl2TLbmvnxP/rRN2/80i++eebVr7p514+95uZ9Tz9986EPfOBulm2k8d/3K08/f7x03HT8NI/c/NZMej7S8wKMUyQEjk6RsD5FwoAiIUA7ioQA7SgSAgBbUyQEAKhDkVBEjh5FQuDIFAmBo6tVJBz85j/6kZvXvfhTs8W2LfPaj8zpqS9+6c3T3/iKm3d8z3ffvOtHX3Pz7E+/9ua9b3zq5n1Pv/Xm/b/+6zfPvfvZmw+9//03H/7wh5//f9P/Tv89/fw9T73h5tnXPfH8/dL90zhpvDRu7nhbJs0pPQ9AGUVC4OgUCetTJAwoEgK0o0gI0I4iIQCwNUVCAIA6FAlF5OhRJASOTJEQOLraRcLkQ8998OZXv/mvZ0tu0jbpvKfzD5RTJASOTpGwPkXCQK5I+K3/4Kmb733d0yIisjAv/q9/4NEa+90/9dbsbUVEZFr+/bMPT//WZ39r9nYiIiIirfK//M+/6cHvI4qEAADz5DYLfcX3veXmK3/waRGRQ+Tf/vxvf7AG/ntf9Ors51ARkWvMf/uTb3mwBqb8J1//g9nbiohcY77ybz7+TPxVH/mcnLvt1Pzdv/0jN//oT35OtvAmdZPOczrfuedBRMbzGR/53e98HUy/I+ZuKyJyjfn3Xvrwb4P/xz/3N+++PWEuRcLAS17xww8uOhEREREREREREZmef/elr7r7ixsAAFP8sa94+H8wSkRERERERETq5dM/8aU33/8xH5stwMmypPOazm/uvIuIiIjMyb/5md989+0JcykSBhQJRURERERERERElkeREABgHkVCERERERERkbb5X3361998/if8n29++GM+OluIk2n5ex/90c+fz3Rec+dbREREZG4UCZdTJAy85Bv+XvbiExERERERERERkfIoEgIAzKNIKCIiIiIiIrJO/hef/g03n/PHP/fm+z7m388W5GQ86byl8/dvfOQ85s6viIiIyNIoEi6nSBhQJBQREREREREREVkeRUIAgHkUCUVERERERETWzf/sP/7Gm//8j/+Zm7/9sR+XLczJw6TzlM5XOm+58ykiIiJSK4qEyykSBr71H7zx0YX3fT/99M3PvPU3RERkYT7rG3/40Rr7xJvfkb2tiIhMyyd81d95sL7+b/7U/zN7OxEREZFW+Tc/85se/D7yed/0D+/+4gYAwFTf9ppffpAnn/7nIiKHyRNvfueDNfCJt7wzezsRkWvN6RqYkruNiMg1Z+t18In/x7ff/MR/9OJsge7oSeclnZ/ceRORetl6HRQR2TLnfxv8Vx/8/btvTphLkTCQKxI+867fufspAEt8+Xf85KM19g/+9YfvfgrAEi95xcN/Wfvf+fy/cfcTAIB1/JH/4lse/D6iSAgAAAAAAOzVu3/2yZs3f93X3PzEH/uYbKnuKEmP/y1/5WufPx8AAOyPImHgW/7+Uw82PKUoEgLUoUgI0I4iIQCwNUVCAAAAAADg2nzouQ/e/Isf+Qc3b/yzX5It2l1r3vilX/KRx/33bz78+8/dnQkAAPZIkTCgSAjQjiIhQDuKhADA1hQJAQAAAACAa/Y//uZv3vza3/qum5/77M/Klu/2np/9yOP6//2tv/mRx/kv7h4xAAB7p0gYUCQEaEeREKAdRUIAYGuKhAAAAAAAwFF84DfeefPPf/iHbt70NS+/ee2LPiVbzOs9ad5v/tq//PzjSI8HAIDro0gYUCQEaEeREKAdRUIAYGuKhAAAAAAAwFH93jPP3Lzz+7/35p/8pa+4+alP+oRscW/rpHml+aV5pvkCAHD9FAkDioQA7SgSArSjSAgAbE2REAAAAAAA4Nbvve1Xb9714z9288x3fPvNm7/m5Tc//7mfc/OTL/j4bMGvdn7yBR/3/PHSv5b49u989fPzSPMBAOB4FAkDioQA7SgSArSjSAgAbE2REAAAAAAAYNwHf+u3bt7zhtff/MYP/sDN277lm27e+oqvv3nTV3/VzS++7Mtu3vBFX3jz83/qs29+5iWfcfPECz/5+ULgUAxM/zv99/TzdLt0+3S/dP80Thovjfvcs8/eHQkAABQJQ4qEAO0oEgK0o0gIAGxNkRAAAAAAAAAAAPqhSBhQJARoR5EQoB1FQgBga4qEAAAAAAAAAADQD0XCgCIhQDuKhADtKBICAFtTJAQAAAAAAAAAgH4oEgYUCQHaUSQEaEeREADYmiIhAAAAAAAAAAD0Q5EwoEgI0I4iIUA7ioQAwNYUCQEAAAAAAAAAoB+KhAFFQoB2FAkB2lEkBAC2pkgIAAAAAAAAAAD9UCQMKBICtKNICNCOIiEAsDVFQgAAAAAAAAAA6IciYUCREKAdRUKAdhQJAYCtKRICAAAAAAAAAEA/FAkDioQA7SgSArSjSAgAbE2REAAAAAAAAAAA+qFIGFAkBGhHkRCgHUVCAGBrioQAAAAAAAAAANAPRcKAIiFAO4qEAO0oEgIAW1MkBAAAAAAAAACAfigSBhQJAdpRJARoR5EQANiaIiEAAAAAAAAAAPRDkTCgSAjQjiIhQDuKhADA1hQJAQAAAAAAAACgH4qEAUVCgHYUCQHaUSQEALamSAgAAAAAAAAAAP1QJAwoEgK0o0gI0I4iIQCwNUVCAAAAAAAAAADohyJhQJEQoB1FQoB2FAkBgK0pEgIAAAAAAAAAQD8UCQOKhADtKBICtKNICABsTZEQAAAAAAAAAAD6oUgYUCQEaEeREKAdRUIAYGuKhAAAAAAAAAAA0A9FwoAiIUA7ioQA7SgSAgBbUyQEAAAAAAAAAIB+KBIGFAkB2lEkBGhHkRAA2JoiIQAAAAAAAAAA9EORMKBICNCOIiFAO4qEAMDWFAkBAAAAAAAAAKAfioQBRUKAdhQJAdpRJAQAtqZICAAAAAAAAAAA/VAkDCgSArSjSAjQjiIhALA1RUIAAAAAAAAAAOiHImFAkRCgHUVCgHYUCQGArSkSAgAAAAAAAABAPxQJA4qEAO0oEgK0o0gIAGxNkRAAAAAAAAAAAPqhSBhQJARoR5GQPXrlK19581Ef9VEXA73YQ5Ew9xoakl5rJbwmAaBfioQAAAAAAAAAANAPO2sDioQA7SgSskdKS+yFIuFtAIDtKBICAAAAAAAAAEA/7KwNKBICtKNIyB4pLbEXioS3AQC2o0gIAAAAAAAAAAD9sLM2oEgI0I4iIXuktMReKBLeBgDYjiIhAAAAAAAAAAD0w87agCIhQDuKhOyR0hJ7oUh4GwBgO4qEAAAAAAAAAADQDztrA4qEAO0oErJHSkvshSLhbQCA7SgSAgAAAAAAAABAP+ysDSgSArTTe5HwySeffD5wSmmJvVAkvA0AsB1FQgAAAAAAAAAA6IedtQFFQoB29lAkTCUUZUJOKS2xF4qEtwEAtqNICAAAAAAAAAAA/bCzNqBICNDOXoqEKcqEDJSW2AtFwtsAANtRJAQAAAAAAAAAgH7YWRvYQ5HwRS96UXbT9KWk26ekTdcpyjHAVvZUJEzZ03p5PvfzlBZ0eExpib1QJLwNALAdRUIAAAAAAAAAAOiHnbWBaywSjkWxEFjT3oqEKXuhSNiO0hJ7oUh4GwBgO4qEAAAAAAAAAADQDztrA0crEp5GoRBobY9FwrTm7oEiYTtKS+yFIuFtAIDtKBICAAAAAAAAAEA/7KwNHLlImJLGVigEWtljkXBYG3unSNiO0hJ7oUh4GwBgO4qEAAAAAAAAAADQDztrA0cvEg5RJgRa2GuRMKX3MqEiYTtKS+yFIuFtAIDtKBICAAAAAAAAAEA/7KwNKBLeR5kQqG3PRcKUnsuEioTtKC2xF4qEtwEAtqNICAAAAAAAAAAA/bCzNqBI+DDKhEBNey8SpvRaJlQkbEdpib1QJLwNALAdRUIAAAAAAAAAAOiHnbWBaygS5qSCyZBo8/V50n0AariGImFKj2XCaO6KhPMpLbEXioS3AQC2o0gIAAAAAAAAAAD9sLM2cK1FwpxUOin51w17/de3gP25liJhSm9royJhO0pL7IUi4W0AgO0oEgIAAAAAAAAAQD/srA0cqUg4iDZjp6SCCsBS11QkTOmpTKhI2I7SEnuhSHgbAGA7ioQAAAAAAAAAANAPO2sDRywSJtGGbAUUoIZrKxKm9FImVCRsR2mJvVAkvA0AsB1FQgAAAAAAAAAA6IedtYGjFgmTVuMCDK6xSJjSQ0lPkbAdpSX2QpHwNgDAdhQJAQAAAAAAAACgH3bWBo5cJIxKKOnnAEtca5EwZes1UpGwHaUl9kKR8DYAwHYUCQEAAAAAAAAAoB921gaOXCRMcuMNUUIBlrrmImHKlmVCRcJ2lJbYC0XC2wAA21EkBAAAAAAAAACAfthZGzh6kXBsbCUUYKlrLxKmbFUmVCRsR2mJvVAkvA0AsB1FQgAAAAAAAAAA6IedtYGjFwnHNmYroQBLHaFImLJFmVCRsB2lJfZCkfA2AMB2FAkBAAAAAAAAAKAfdtYGFAkvb8xOxwVYYu9Fwmj9Pc3aZUJFwnaUltgLRcLbAADbUSQEAAAAAAAAAIB+2FkbUCRUJATa2XuRMK2R0W1Os2aZUJGwHaUl9kKR8DYAwHYUCQEAAAAAAAAAoB921gYUCRUJgXauoUhYcrvTrFUmVCRsR2mJvVAkvA0AsB1FQgAAAAAAAAAA6IedtYGjFwnHxlZCAZa6liJh0luZUJGwHaUl9kKR8DYAwHYUCQEAAAAAAAAAoB921gYUCRUJgXauqUiY9FQmVCRsR2mJvVAkvA0AsB1FQgAAAAAAAAAA6IedtYGjFwlz4w0BWOraioTJlDJhS4qE7SgtsReKhLcBALajSAgAAAAAAAAAAP2wszZw5CLh2KbsdEyApa6xSJiUlglbrqWKhO0oLbEXioS3ObJ0btL7AQBsRZEQAAAAAAAAAAD6Ybd74MhFwrFx1yigpE3P6ThpHpfmkv57Txukx+bb21yhB9daJEyi+w5Ja0MLS+Y+RzpeyrAO5o45rI+1j11imFvKpbkNP49cGmMI9EKR8DYl0hjDGnV+/2F9SOvI3my15gLAQJEQAAAAAAAAAAD6Ybd74KhFwrEx089aSRu0o8czlhqbvKc+9rlztqkbrrtImKSf5+53nhbr6tK5lyp9jLmkx916LYzOw6WMzSt6zNALRcLbXLLkd7h03yly45ym9LFOcbr+tRCduxbvbQDsjyIhAAAAAAAAAAD0w273wBGLhNF4UzdOl5qzkftSlmzGHpvH+YboGnNudT5hD669SJiUrhPn68tSNeY+Jhp/StJjr70WpvFardHp3OVuOwR6oUh4m5wa68OUdTuaY0ptp49x6Zqfczr3XGqv6wDskyIhAAAAAAAAAAD0w273wJGKhGmDcTTWlA3TpWqWUc4zZwPz2Dk4ffzRuZoSG605qiMUCZPS9aLmGltr7jk117/T1Hr8JYWdKTmfVzQ+9EKR8DanWvzeWfp7XO6+p6n9++D5+DVF7wM1388A2DdFQgAAAAAAAAAA6Ifd7oFrLhKmzcpp43V0/yEtNgSXHntJpm7KHpvTcA5azLv25nHYg6MUCZPSdWNYZ5aqOfdBNGaNLH38LdbnlNN5TSktwZYUCW8zaLmGlfweF80zpZbcsUrmWOp87PPUPBYA+6ZICAAAAADr+r9+z5MP/iYnf+35cwIAAADcsts9cA1FwhqpVWw5tca8h0zZzDw2r/Szkk3gc9LiHEPvjlQkTErXvRrrQe25R+PVzNzHX3p+52aYV/Q+AL1QJLxNssYaVvL7Zu5+pykZo0Ru7BrvLUl0vmsdB4DroEgIAAAAAOtSJHwcRUIAAAC4Z7d7QJHwdjNwrU3Ng6mbudMc0qbl00x93KWPYcn5TPc9Te42Y6l9nqF3RysSJqVrQ7rdErXnPnVNO12vU6aui1MffzpGbpwow7xK5zc8ntzPhkAvFAlvk+T++2nO14KS9SCX6He5aK7puEuNHaPG75q5cU/j91kATikSAgAAAMC6FAkfR5EQAAAA7tntHlAkfJjSDd2R3Ni5lBwvbVYuOQelG7Onns90+2jDdPp57r65wJEcsUiYlK4zpetWTs25j5VSTlOyHial45WMlUxZY0vmmOY39hxFzx/0QpHwNpdes+m/R8dI60XpmjUkWmNy9zlN6dp3ydgaVXpOLyk51wBwSpEQAAAAANalSPg4ioQAAABwz273gCJhPks2OJfMd84m5JJN3iXznnI+p56HkrGXbh6HPTlqkTApXWvmHqPW3KNxhkxdu9Lto3NQ+l6Qu28uU+eYTHlPGAK9UCS8nDlra+l6GK1d0XznzG1QMsclojVxzjoLwHVTJAQAAACAdSkSPo4iIQAAANyz2z2gSHg5pQWPUyWbm+eMO6ixebr0fM7dKB2Nv2TzOOzNkYuEScv1ptbcS+Y4dz1Mlq6J6ee5+50mHWOJ0udpCPRCkTCfJWtWtLYOiY6Ru89p5s6xZL0qPa/novO8dK0F4DopEgIAAADAuhQJH0eREAAAAO7Z7R5QJBzP1A3D0VxrbECONjlHG7NLzueSeUYb0Odu7oY9OnqRMClZc1KmlkpqzD0aI2XqvHJy4w6J1tvcfU5T430lKX2eUqAXioSPU2PNKlkbU8ZEc577/pIbK5c5onWwxrkF4PooEgIAAADAuhQJH0eREAAAAO7Z7R64hiJh2tQ7lrRROWVKSeI0U0oaufufppbc2EOijdkl52Gp3JingaNQJLyVGzuXNJ9SNeaebpO775Bajz86ziXR/VJqKn2fhF4oEj7MlDU0Eq2xKdHxcvc5zVSl5yFl6rmIHu+UzwMAHIsiIQAAAACsS5HwcRQJAQAA4J7d7oFrKBJOlTYKT9mInFKy0Tsas2SMUtFm57HN09H5rLFROjoXcBSKhLei45xmbP06VWPuufudpqaxtffSupu77WlKz9UUueOcB3qhSHifGr+/nYuOG81/6f3P5ca4lKnnY2yNTpk6VwCOQ5EQAAAAANalSPg4ioQAAABwz273wBGLhKdSCSMaf0hU2Gg5z5zcMYaMzXWNjdLRxnE4CkXCe9GxThOtt8nSua/52JOxdTGty+ei+eXuU0PJeyL0QpHwPq3kjnWaMSXrfqmSc3CekveSZKv1FoDroEgIAAAAAOtSJHwcRUIAAAC4Z7d74OhFwkHJRudoE3HuPkNqF1KSsQ3VY8fr4XyWbuyGvVMkfKhkrR0SrRNL5z62hqa0kDvOkHPR/Fquo7njnQZ6oUh4m5ZFt6VrUa21LPr9NZfS8xuNXToOAMekSAgAAAAA61IkfBxFQgAAALhnt3tAkfBeVEpJubTZObpviw3IYxuzxzaUr3E+o/NRumkc9k6R8LHomKcZWyuWzn2t95ZTueMMOX+sW8xvsOWxYQpFwtu0WKsHS9fakjU/MjZGjfUqd78haXwAGKNICAAAAADrUiR8HEVCAAAAuGe3e0CR8KG5G7Wj+6Wkx1E7ueMMuWTu/aaINo2fF2bgWikS5pUUS4ZcWi+Wzj13n9Ocr7c1kjvOkPP55m4zJI3VUvSeBr1QJLxNa7ljDil5DNH8o98Lx9bPdN+x94MlY6eUPkcAHJciIQAAAACsS5HwcRQJAQAA4J7d7gFFwsdyxzhNTrRBeotcMnY+a5VTooJPtKkbroUi4WXRsU+TWzOWzj13ny1zPt/cbYa0LrZE72nQC0XCdf7FvKW/O0brdTRG7j4pp/fL/XzImNzth6xxbgHYP0VCAAAAAFiXIuHjKBICAADAPbvdA4qEj0UFilyhJZrjFsnNMxmba60N09GG8Utzg2ujSDguOv6Q3Nq0ZO6lx10zp48xml/6eUvR8aEXioTrlN2i341LRGNcWtfG7nd6/sZuN2fslNPxAeASRUIAAAAAWJci4eMoEgIAAMA9u90DioSPRQWK3KbiaI5b5NKm6bG51tqMHp3DS3ODa6NIGIvmMOR8fVoy99JjrpnTxxfNL/28tdxxh0AvFAnXWafHjp9SIlrXLv0OmrvtkFNj4186R7nbDqn1OzEA10+REAAAAADWpUj4OIqEAAAAcM9u94AiYV7uOENym5GjOW6RS0WTsbnW2jTdQwkGeqBIWCaax5DTNWrJ3EuPt2amPLb089Zyxx0CvVAkXGedHjt+SqlonPO1berjHrv9lLFTcuMDQI4iIQAAAACsS5HwcRQJAQAA4J7d7gFFwrzccYbkynbRHLfIpaLJ2Fxzj22OHkow0ANFwnKl6+iwTi2Ze3TfLXK6/vawhuaOOwR6oUi4zjo9dvyUUlPX7bH3hZyx8aeMfboeA0BEkRAAAAAA1qVI+DiKhAAAAHDPbveAImFe7jhDcpuL97QZeY259lCCgR4oEk4ztj6dJt1uydz3sEbl5jWk9fMSnR/ohSLhOr9n1vzdceyxpAzr79g6NHbM3O2HDKI5tF5jAbguioQAAAAAsC5FwsdRJAQAAIB7drsHFAnzcscZktu8HG1I7knNzeCX7KGkA2tQJJwuWvOHRLeL5p67z5AeSiS5eQ1pPb/ouoBeKBLeprWavzuWvu+MHXPM2PjD7581Hw8AKBICAAAAwLoUCR9HkRAAAADu2e0eUCR8LNrgnNtgvPUG7ynW2DwdncNhIzdcO0XCeaJ1vyTR3HP3GbLV4z61xlp9yZ7e0zg2RcLbtJY75pA561HJ48n995SS4+XuN6TX9z0A9kuREAAAAADWpUj4OIqEAAAAcM9u94Ai4WPR5ubcBuM9FefWKKfs6XxAS4qE80Vrf5Ro7mushUtEj7+l3PFOA71QJLxNy9+rWrxPRGOOpeR4Y+er97UfgP1RJAQAAACAdSkSPo4iIQAAANyz2z2gSPhYdLzcZu2eyzjn1thAHZ2P3DmEa6RIuEy0Ho8lmvva7y1TjRVhUlo9N9E1kQK9UCS8Tav1IGm1VkaPKZcpv6fm7h+l5XkE4HopEgIAAADAuhQJH0eREAAAAO7Z7R5QJHyoZFPzJbnbnqaFNN+UKcW8sfM5ZYP2GEVCuKVIuFz0HnAp0dyj9b7VY0+Pp3Ts3LyG1Fqvz0XnJQV6oUh4n1a/W+WOdZq5ovefXKasyyXn7DSt1lQArp8iIQAAAACsS5HwcRQJAQAA4J7d7gFFwody459mbJNxtGF5yubnUnPGHzuftTZRKxLCLUXCOqL3gVxK5p6732lqO32fSI8pWgujx117LY2uhyHQC0XC+9T6He5UtAYtPWbJ4zrNFKXr2ZDS5wIAzikSAgAAAMC6FAkfR5EQAAAA7tntHlAkvBcdJ2Vsk3HJhuWapY9L842OMfY4l24IH0TnouZ5gJ4pEtZTskafpmTu0Zi11sTk0rkeO0ZJyaam0nMMvVAkfJiav19F7w8pS5UcY8ic96PSNa3mWg/A8SgSAgAAAMC6FAkfR5EQAAAA7tntHlAkLN/EXLLJOJprrY3K0XFSLhm7b635Ree05kZ36JkiYV0la9+QkrmXrP811quS41yab+62p1nzfWUI9EKR8HHWWrNqrT2lj22OkseRUvo8AECOIiEAAAAArEuR8HEUCQEAAOCe3e6BIxcJ06bhKcWJko3Za2y8Lpnz2DHG7r90boPoPJScS7gGioT15eaZS+ncS9bUJWtWyftCyqVjLF3zS5Qc4zTQC0XCfJauWa3XxVMla+SSNS433nkAYAlFQgAAAABYlyLh4ygSAgAAwD07QwNHKhKmjcpTy4NDpmxgLh1/6gbs0o3d0VzHxpjyOMdEm8KnPnbYK0XC+qI5Dymde+l4c9bH0vJPtCbm7nOeNL+pa2u6/dh7wqVALxQJL2fqepCUHqfW74uDaB2a81gG0WMqfQ4A4BJFQgAAAABYlyLh4ygSAgAAwD273QPXUCRsnTmbpXPj5JLGjjZHpw3OU85BNN7YWHMea06aQ278IUs2hMOeKBK2Ec07Zcrco6LJaaJx09ymjFey7pY83iFpvKVzjN5zoBeKhHHSfdNrfky6TfS6P01tY2tcjd9Nc+MOAYClFAkBAAAAYF2KhI+jSAgAAAD37A4NKBKOZ+7m5Smlj9Ok450md5uxRBvFk7Fx089qiB5/yTzhGigStlN77nPW3GGtHpK7zVjSfUrNHf80uducJ90uKi1BLxQJbxOth0PmrAnnafU73KX51HgfunT+aowNAIqEAAAAALAuRcLHUSQEAACAe3a7BxQJLycdd4nSTd21Urqxe+x8Ln3Mg+ixt9qEDr1RJGxrbP5z5r7m+82c9bb1/IY5XSrdDIFeKBLeJonW8xpp+ftbbv6tfy8FgBoUCQEAAABgXYqEj6NICAAAAPfsEA0oEj5OOl6tjdJrbOpOmTLfsfPZesP2kFrnF3qnSNjepccwd+5rvOcsWWtbze90ToqE7IUi4W0G0Zq+JGv87na+vtV8Dzo/hzXHBuDYFAkBAAAAYF2KhI+jSAgAAAD37HYPKBLeJx2nxabilpu6T4sfpcbO55zxcqLHvMZmdOiBIuE6co9jydxbvu/UWP9qz+987T8v3JwHeqFIeJtT0bo+J2v93nY+95pajg3AsSkSAgAAAMC6FAkfR5EQAAAA7tklGjh6kTCNnTZnr7FBOtoEPiXDvOcYO5/nZZK5ok3sa21Ih60pEq7n/LEsnXsar+b7T+33mlrzy80per+CXigS3uZcrfWh1u+FUwzzbnHs4XEtfX8AgFOKhAAAAACwLkXCx1EkBAAAgHt2uweOVCRM46SkzcNbbiCONoOPZZj/EmPnM/2shrSBPTf+kJplGuiZIuG6Th9PrbkvLeSkebRc89L4c+Y3Nq/0s9x9hkAvFAlvc8nc9Svdp+W6NSYdN82hhZZjA3BcioQAAAAAsC5FwsdRJAQAAIB7dooG9lAkvFZpM3PaGD62OTxt5B5uA+xP70XCazQURVqsm8N6PFbMGW6zRQlnmNul+W01L2hlD0XCHgy/c15aG3r7fTPNp5VeHiMA10OREAAAAADWpUj4OIqEAAAAcE+RMKBICNCOIuE2hlIMcN0UCQGArSkSAgAAAMC6FAkfR5EQAAAA7ikSBhQJAdpRJNyOf3kPrp8iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCQK5I+PL/9rU3f/2HXi8iIgvzf/rK7360xv61v/sL2duKiMi0/B++9LserK9/5E9+S/Z2IiIiIq3yb/xn//cHv4985jf+8N1f3AAAAACAFhQJH0eREAAAAO4pEgZe8g0P/yUXERERERERERERmZ5/96WvuvuLGwAAAADQgiLh4ygSAgAAwD1FwoAioYiIiIiIiIiIyPIoEgIAAABAW4qEj6NICAAAAPcUCQN/4v/2Q9k/MIiIiIiIiIiIiEh5FAkBAAAAoC1FwsdRJAQAAIB7ioQBRUIREREREREREZHlUSQEAAAAgLYUCR9HkRAAAADuKRIGvuXvP/Xojwuve8s7b379t94nIiIL84Xf+ppHa+wzv/k72duKiMi0fNrXff+D9fXf/tz/V/Z2IiIiIq3yv/6T3/zg95HP+6Z/ePcXNwAAAACgBUXCx1EkBAAAgHuKhIFckfCZd/3O3U8BWOLLv+MnH62xf/CvP3z3UwCWeMkr/t6D9fXf+fy/cfcTAIB1/JH/4lse/D6iSAgAAAAAbSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAFiXIuHjKBICAADAPUXCgCIhQDuKhADtKBICAFtTJAQAAACAdSkSPo4iIQAAANxTJAwoEgK0o0gI0I4iIQCwNUVCAAAAAI5CgU+iKDQCAADQA0XCgCIhQDuKhADtKBICAFtTJAQAAADgSJQJ5VKUCAEAAOiFImFAkRCgHUVCgHYUCQGArSkSAgAAAHA0yoRyHiVCAAAAeqJIGFAkBGhHkRCgHUVCAGBrioQAAAAAHJEyoQxRIgQAAKA3ioQBRUKAdhQJAdpRJAQAtqZICAAAAMBRKROKEiEAAAA9UiQMKBICtKNICNCOIiEAsDVFQgAAAACOTJnwuFEiBAAAoFeKhAFFQoB2FAkB2lEkBAC2pkgIAAAAwNEpEx4vSoQAAAD0TJEwoEgI0I4iIUA7ioQAwNYUCQEAAABAmfBIUSIEAACgd4qEAUVCgHYUCQHaUSQEALamSAgAAAAAt5QJrz9KhAAAAOyBImFAkRCgHUVCgHYUCQGArSkSAgAAAMA9ZcLrjRIhAAAAe6FIGFAkBGhHkRCgHUVCAGBrioQAAAAA8JAy4fVFiRAAAIA9USQMKBICtKNICNCOIiEAsDVFQgAAAAB4TJnweqJECAAAwN4oEgYUCQHaUSQEaEeREADYmiIhAAAAAOQpE+4/SoQAAADskSJhQJEQoB1FQoB2FAkBgK0pEgIAAADAZcqE+40SIQAAAHulSBhQJARoR5EQoB1FQgBga4qEAAAAADBOmXB/USIEAABgzxQJA4qEAO0oEgK0o0gIAGxNkRAAAAAAYsqE+4kSIQAAAHunSBhQJARoR5EQoB1FQgBga4qEAAAAAFBGmbD/KBECAABwDRQJA4qEAO0oEgK0o0gIAGxNkRAAAAAAyikT9hslQgAAAK6FImFAkRCgHUVCgHYUCQGArSkSAgAAAMA0yoT9RYkQAACAa6JIGFAkBGhHkRCgHUVCAGBrioQAAAAAMJ0yYT9RIgQAAODaKBIGFAkB2lEkBGhHkRAA2JoiIQAAAADMo0y4fZQIAQAAuEaKhAFFQoB2FAkB2lEkBAC2pkgIAAAAAPMpE24XJUIAAACulSJhQJEQoB1FQoB2FAkBgK0pEgIAAADAMsqE60eJEAAAgGumSBhQJARoR5EQoB1FQgBga4qEAAAAALCcMuF6USIEAADg2ikSBhQJAdpRJARoR5EQANiaIiEAAAAA1KFM2D5KhAAAAByBImFAkZA9euUrX3nzUR/1URcDvVAkBGhHkRC4Vj7vwH4oEgIAAABAPcqE7aJECAAAwFHYYRdQJGSPbKxlLxQJAdpRJASulc87sB+KhAAAAABQlzJh/SgRAgAAcCR22AUUCdkjG2vZC0VCgHYUCYFr5fMO7IciIQAAAADUp0xYL0qEAAAAHI0ddgFFQvbIxlr2QpEQoB1FQuBa+bwD+6FICAAAAABtKBMujxIhAAAAR2SHXUCRkD2ysZa9UCQEaEeRELhWPu/AfigSAgAAAEA7yoTzo0QIAADAUdlhF1AkZI9srGUvFAkB2lEkBK6VzzuwH4qEAAAAANCWMuH0KBECAABwZHbYBfZQJEybKOGUjbXshSIhQDuKhMC18nkH9kOREAAAAADaUyYsjxIhAAAAR2eHXWAPRcIXvehFzwcGNtayF9dQJNzL+vvkk08qnsPBKBIC18rnHdgPRUIAAAAAWIcyYRwlQgAAAFAkDO2lSJg2SyoTMrCxlr24hiLhXl5TaV1QJIRjUSQErpXPO7AfioQAAAAAsB5lwstRIgQAAIBbdtgF9lQkTNlbmfB07rkwj4217MXei4TpX/lLr6k9FPTSPBXO4VgUCYFr5fMO7IciIQAAAACsS5nwcZQIAQAA4J4ddoG9FQlT9vQvTikStmFjLXux9yLh8FrrvaA3FB69/uFYFAmBa+XzDuyHIiEAAAAArE+Z8D5KhAAAAPCQHXaBPRYJU1JpZA8UCduwsZa9uJYiYUr6//fK6x+OSZEQuFY+78B+KBICAAAAwDaUCZUIAQAAIMcOu8Bei4QpeygTKhK2YWMte7H3IuHp66rXf5Xw9F8jTOm58AjUpUgIXCufd2A/FAkBAAAAYDtHLhMqEQIAAECeHXaBPRcJU3ovEyoStmFjLXtxTUXClB7X3PN1VpEQjkORELhWPu/AfigSAgAAAMC2jlgmVCIEAACAy+ywC+y9SJjSc5lQkbANG2vZiz0XCc//pb+UtKb1ZA9zBNpRJASulc87sB+KhAAAAACwvSOVCZUIAQAAYJwddoFrKBKm9FomVCRsw8Za9mLPRcJLr7Oe7GGOQDuKhMC18nkH9kOREAAAAAD6cIQyoRIhAAAAxOywC1xLkTClxzKhImEbNtayF9dYJEz/vRe5+aUAx6BICFwrn3dgPxQJAQAAAKAf11wmVCIEAACAMnbYBa6pSJjSW5lQkbANG2vZiz0XCXOvrSE9GFsHeio7Au0oEgLXyucd2A9FQgAAAADoyzWWCZUIAQAAoJwddoFrKxKm9FQmVCRsw8Za9uJai4Q9FPVy8xpy9CJheu+5lDnvkblxhvT4rwFzHIqEsdzrdojXL/TL5x3YD0VCAAAAAOjPNZUJlQgBAABgGjvsAtdYJEzpZWN0NHfmsbGWvdhrkTCtobnX1pC0tm2p9/ltbey9Z865qT0e1KJIGPP6hX3yeQf2Q5EQAAAAAPp0DWVCJUIAAACYzg67wLUWCVN6EM2deWysZS/2WiSMXmMpWxa2S94Xjqx2caj2eFCLImHM6xf2yecd2A9FQgAAAADo157LhEqEAAAAMI8ddoFrLhL2sDk6mjvz2FjLXlxzkXCrNTb61wiHHNnYe8+c5632eFCLImHM6xf2yecd2A9FQgAAAADo2x7LhEqEAAAAMJ8ddoFrLhKmbL1BOpo789hYy17stUiYe13lsoWSkmPKlv9i4tZqF4dqjwe1KBLGvH5hn3zegf1QJAQAAACA/u2pTKhECAAAAMvYYRe49iJhypabpKO5M4+NtezFtRcJ115fS/81wpS0ThzV2HvPnOes9nhQiyJhzOsX9snnHdgPRUIAAAAA2Ic9lAmVCAEAAGA5O+wCRygSpmy1UTqaO/PYWMte7LFIOKWsl7Km6LV/miMXZMbee+acl9rjQS2KhDGvX9gnn3dgPxQJAQAAAGA/ei4TKhECAABAHXbYBa6hSBj9fMgWm6WjuTGPjbXsxRGKhOn1uJbc8S/lyAWZsfeeOeel9nhQiyJhzOsX9snnHdgPRUIAAAAA2Jcey4RKhAAAAFCPHXaBaygSltxmyNobpkvmznQ21rIXeywSRq+v86y1rk4tOKYc1dh7z5znq/Z4UIsiYczrF/bJ5x3YD0VCAAAAANifnsqESoQAAABQlx12gWspEibR7YasuWm6dO5MY2Mte7HHImHpWnqa9JpsLXfcKKl8eERjz+Gc98Da40EtioQxr1/YJ593YD8UCQEAAABgn3ooEyoRAgAAQH122AWuqUiYRLcdstbG6Slzp5yNtezFHouEuddUlNZr6px/jTBljYJjj8bee+Y8V7XHg1oUCWNev7BPPu/AfigSAgAAAMB+bVkmVCIEAACANuywC1xbkTCJbj9kjc3TU+dOGRtr2Yu9FQnnFvZSWope85dy1JLM2HvPnHNSezyoRZEw5vUL++TzDuyHIiEAAAAA7NsWZUIlQgAAAGjHDrvANRYJk+g+Q1r/a1Vz5k7Mxlr24khFwlaFlGhOY+tsqzn1rvY5cY7plSJhzOsX9snnHdgPRUIAAAAA2L81y4RKhAAAANCWHXaBay0SJtH9hqSSSitz5844G2vZi70VCcdeW2k922JNK3m95/77kCMae57Sz6aqPR7UokgY8/qFffJ5B/ZDkRAAAAAArsMaZUIlQgAAAGjPDrvANRcJk+i+Q1qVCZfMfar0GFLSptNLx03/PSXdZm3D3C5tih3mVTK3S2MMgV7srUg4tmYNr83cz4aUvH6nyh1nSMmcWpbFkzSHlEvnbvh563mcGnse08+mqj0e1LLnIuGl39nS/05JP6vB67fc8JzkztPS5yTdt9XYNV26LnuZa5rf2By3nucwt5RLcxt+Hrk0xhCgH4qEAAAAAHA9WpYJlQgBAABgHXbYBa69SJjk7pNL2vhZ29K5l4g2mY5ljU226bzmjh1lbF421rIXeysS5l5PQ4Y1co11bRC91kvm1GqNi+aWS5rn2HtN7j5Dxh5H9JxMSYvxoJU9FgnTGjDlNTZ1DWv1+o1+nxtb26YYm3/6WYlofT435TlJtyt9rOl2U98rSh/jJbkxh4xdS1PnmZLmOvX6nGvO/IasMc/o9XEpS54ToB+KhAAAAABwXVqUCZUIAQAAYD122AWOUCScsrGzdGNwqaVzHzN3w2ouaZ61H3saL3r8JcnNy8Za9mJPRcJoTRlei9Htam7Wz40/5PQ4Y2tN+llN0fpTkktzyt12yNh5rbHWDmkxHrSytyLh3PVjyjrW6vVb+h6x1Nj8S89DdJ5PtXpOlr5XzD2fubGG5N5Houe1NLmxa6g1v5T0nNW6TgdpvBqvudy8plzHwLYUCQEAAADg+tQsEyoRAgAAwLrssAscoUiYTNmEWnODaY2559TYsJpLGreGpZunz3M+Lxtr2YtrKhKeGluDaq0j0XxO1+qxNaHmfMYe95ycv9/kbjNkrKRRc14txoNW9lQkrPG6KtHq9TtlTV5ibP7pZyVKf09ceq4uzafWczDnnObGGXL+PlJrnkNKn59Stec3pNY8o+tsas7nVXodA9tTJAQAAACA61SjTKhECAAAAOuzwy5wlCJhEm2APs0am6FTppryGOZm6eba6DHPzem8bKxlL/ZUJJzyuopuW2MNHVtLztepaG1cquXae3qucj8fks75JTXX3RbjQSt7KRLWWkPO176cVq/f6DGcrmVLjM2/5PEnJe9ntc7T+Zxqnv+Uqec1N8aQ0/eR2vMcUvocjan1ehnL0nmucf6m/F4GbEuREAAAAACu15IyoRIhAAAAbMMOu8CRioTJlI2pNTZEbzX3pZm7ubbVptohw7xsrGUv9lQkHHv95kpsudsNmbuGDKL1Lrc+5243ZMl6vsbaO8wv97MhuedgUHPtbTEetLKHImHtNSRaX1u9fqPHsWSdPTU2/+ixD6LfE2s/J8P6XPPcDyl9zIPcGENazvM0U+d8qvZzM5a581zr/EXXMdAPRUIAAAAAuG5zyoRKhAAAALAdO+wCRysSJlM2qC7dFF1z7lM3rabNp6dJ958yRrrtFNFm10sZ5lU6v+Hx5H42BHqxpyJh7rU0JL3mzrV8Hc4ZO3e7Ibn5l8qNF2XqupYSHWvsMZQeoyQtxoNW9lAkjNazlDnrxSWtXr/R789Lf2cejM0//axEyTm/lOF5mHoepz7PU8af8h6Wu/+QNM6ceU6Z65B0nzmmHmt4TEOmznfqPEvOXy7DvErnNzye3M+GAP1QJAQAAACA6zelTKhECAAAANuywy5wxCJhslaZsNbcSzetpuOVzLd0vNLHPuV8lswxzW/s3LW4JqCFvRQJo9fwpdds7rZD0ut4rtx4Qy6NG60Zc0RrzWmix5vO4djaGx1rbPwp84zSYjxoZQ9FwtzrYkh6rZ2vr+l/X3oN5m5/rtXrNx03d5sh0bxKjc0//azE2FqbS7r9pflPHes8Y2On/17yfJU+7iR3/yFjxxqb5yDdpmS+Q6bMOyk912nckuutdLySsZJ0u9z9cymZY3Q+o3MN9EOREAAAAACOoaRMqEQIAAAA27PDLnDUImEyZTPoXDXmXjrP0k2wg3T7aH7p5yVy981l6hyTaI65QC+uvUjYYn2ONv5fMna/0rXs1JRCw1TR+c4lzafU2PMyZ761x4Naei8Sjr3Wo9fO+etuzu9QSa3X79z3ialqzLd0/U4pnffYvC6l5tilcvcdSzr2nOeu9HyUjp1ul7v/eabONd0+mmv6eYncfXNpeT5PA/RDkRAAAAAAjmOsTKhECAAAAH2wwy5w5CJhUrpptXSD6bkacy/ZWDpnw+ogGj8qr5Rs1p57/gYl5+A00Iu9FAmj1/GY3O2HTCm/DXLjDBkbb8ljyMmNcZ4la2/p+8+QKedybM2csx7XHg9q6b1IOLYulawfpbcbU+v1G61ZS+c5qDHf6P1gyJQ5R4//PFPPx9jjTil9D8jd91KmPP850ZxTSo9RMtaSa2zp+S25ptY4n6cB+qFICAAAAADHkisTKhECAABAP+ywCxy9SJiUbgyeszl06dxL5rZkU+0gN+6Q6HHn7nOaOectJzqXp4Fe7KVIOPb6il7DS+57Llrzxta7Jfc9V7Le1Fh7ozmfprREktR8TpLa40EtvRcJx147NdaQErVevzXX2DE15tuq9DU2t9PMGTuac+mYufvmMmeOOSXnJHr/KnkvrHF95cYdEp2P3H1Os+b5HAL0Q5EQAAAAAI7ntEyoRAgAAAB9scMuoEh4q2TDccrUTaJL5x7NK9qYWyo6ziUl562m0s210Iu9FAlzr6Mh0ToTrQNTNv+PvcZL1rvc/YaU3H+Qu/9ppowVKSlQpEw55th5nPo+ltQeD2rZc5Gw5joyptbrN1qrahS9khrzTec2d//TzJlvybgpc89FbqwhpY89d9/zTHneS4w9ZynR8aLzWuu1Eh3nkpLnvabofA4B+qFICAAAAADHlAqESoQAAADQHzvsAoqE90o3bUabYU8tnXvuPqepaWyulx5z7ranqbWp/FTuOOeBXuyhSBiVQ0o28M9ZP85F8yhZT2rMIyoMlI4zRUlJoeR5GNQ4D6dqjwe17LlIuNZrp9YcaqzRJWrMt2XxKzfWeeYae+wpJXL3O0+t5+pU7jinGZO7/WlqmnN95W57mi3OZwrQD0VCAAAAAAAAAADohx12AUXCh6JjDbm00fTckrlHG7anlEpKjG26zj3eaH6l52iqkucIenENRcKSDfJRaaNEjTHG1ofSNSlaY1oUBqLnIGXKml/jPJyqPR7U0nuRMFrX1nj91Hr91nivKFFjvtF5n7KenhubX8qSsaN5l8jd7zRL5jdm7jmPrqva8x2bZ+76iuY35TU0RXSdpQD9UCQEAAAAAAAAAIB+2GEXUCR8rGTjZkrJxtElc4825LaQO86Qc9H8am0oz8kd7zTQiz0UCWutNbn7DonWy1oFlRqPJXe/ISXr/lzR3NPPS42998x5DLXHg1p6LxImudfNeaa8vqeq9fqttU5Hasy35np6bmx+KUvGjuZdIne/02z1+/ml567GY54qd5wh56L5bXU+U4B+KBICAAAAAAAAAEA/7LALKBLmRcccEm1oXjL3LR537jhDzjfKbjG/wZbHhimOVCRcMk4Pc0iiokwav5Waxx5bI9PPpqo9HtSyhyJh9DvLkHS7FmtMrddvtEbVKlTVmG/0XrBkrmPzS1kydo1znLvfaVqKzk3OnPsslTvOkPNzvMX8BlseG5hGkRAAAAAAAAAAAPphh11AkfCy6LhD0u0uWTL33O1Pk8aundxxhpxvbs/dZkgaq6Vogzj0Yg9FwtxraMjU13JujCFjBZnc7YdMLdbkxhgSjRWtLUsKIiVyxxwy5TyMredz1ufa40EteygSRuWw86TX1NR1b0yt12+NkluJGvNtuZa3HLvGOc7db0jN6ypnzrnJ3e406Tmvndxxhpyfo9xthqSxWorOJ9APRUIAAAAAAAAAAOiHHXYBRcJx0bGHXNpIumTuudtvmSkba7feqAy92HuRcOpreWzNu7RORsWJqXJjDIkez9ZrS+6YQ6Y8F3OehzG1x4Na9lAkTKJ17lJqvL5qvX5rlNxK1Jhvy7W85dg1znHufkNqPUeXzJl/7nZb5vy9NnebIVPel+doea0BdSkSAgAAAAAAAABAP+ywCygSxqLjD8ltjp0792gj7hY53bw9Z6NwTdHxoRe9FwlbvJZz4wzJbbrP3W7InE36Y+vu6TqWs+S+NYwdf8q5qP04tj4vcMleioRJtN6OZcnrrNbrt8X7RU6N+bYsYLUcu8Y5zt1vSK3naEzuuEPO38eix7tFTq+xGs/HEtHxgX4oEgIAAAAAAAAAQD/ssAsoEpaJ5jDkfEPp3LnbWBvLHXcI9KL3ImFUiJjzWh5b907XkaTFWjJ33U2mzL2FsefjvIAxpvbj2Pq8wCV7KhIOxl5PUVqvyWNarNc5NebbsuzXcuwa5zh3vyFryB13yPn7WPR4t8jpNbbWNT8md9whQD8UCQEAAAAAAAAAoB922AUUCctF8xhyuql07txtrI3ljjsEerH3IuEcU8Ycu+3pmjPFksc0tmbPnc8UY3NPPytV+3FsfV7gkj0WCZP0e9LY62osU19ztV6/a/3uV2O+S94HIi3HrnGOc/cbsobccYecv49Fj3eLnF5ja13zY3LHHQL0Q5EQAAAAAAAAAAD6YYddQJGw3JTNrsPG0rlzt7E2ljvuEOhF70XC3OvnNHONrX3DWtJqHYnGHSvklcy7pbGCyti8z9V+HFufF7hkr0XCQVqvxl5flzLldVfr9dtqzT5XY74ty34tx65xjnP3G7KG3HGHnL+PRY93i5xeY2td82Nyxx0C9EOREAAAAAAAAAAA+mGHXUCRcJopG17TbefOvYeNq5HcvIZMKbzMEZ0f6MWei4RLXsclRYuWZYzceEPGHlfLOZUYe8+Y8nyMjXNakihVezyoZe9FwkF6fY+9znIpXRNqvX7X+t20xnxbruUtx65xjnP3G1LrObpk6vxrPN7WcvMaMuV9eY7o/AD9UCQEAAAAAAAAAIB+2GEXUCScLtrUeZolc8/dfkjrjaslcvMaYmMt3Oq5SBi9jpa+jnNjDonWxqXlgdyYQ8aKKC0LIiXGzsuU52NsnLHHf0nt8aCWaykSDqI16Dwlar1+o/eMpev2oMZ8W67lLceucY5z9xsy5X1kjjnzz91uSOv5lsjNa8jW5xPohyIhAAAAAAAAAAD0ww67gCLhPNHGztKMyd1+SA8ba2ttTJ+j5SZuqKnnImH0OiopLIyJxh/LUnPfN+aUIGrKHXPIlHW/9vq85XoPY66tSDgoXT9L1oVar9+11sca843O3xItx65xjnP3GzLlfWSO6Nzk5p+73ZDW8y1R6/UzR8trDahLkRAAAAAAAAAAAPphh11AkXC+aLNvScZsuXG1xJbPS+54p4FeHLlImOTGjVKjODB38320rrcsNURznnLs2u8fvb8fcVzXWiQcRL9rlbz+ar1+11ofc2MPKZ3v3PeAEi3Hjs5xyfty7n5Dpjzfc4xdayk5ta7PVuY8plpyxzsN0A9FQgAAAAAAAAAA6IcddgFFwmWiDb9RxvT8uJOapZcpSs459KLnImHutXOaGqJ1LJeSokRkyfqUu/1pWonO1ZQ1dWys9LOpao8HtVx7kTDJve5OE6n5+s2NMaTW7325sYeUHiN6D1ii5diti4QprURzv/TcjV2fKVuLnu/Sa3Iqn3dgXxQJAQAAAAAAAACgH3bYBRQJlyvZ6HkpY7bauJrOd+nYuXkNmbo5vVR0XlKgF3stEtZ6/U5dH2uta3MLDUm0xqSxW8gd6zRTzs3Y++ac57b2eFDLEYqES9ekmq/f3BinWSp6rKXrYDTOEi3Hjt67St5/cvc7Tas1e+51Wus5nyqdh9Kxc/MastX5TAH6oUgIAAAAAAAAAAD9sMMuoEhYR7Tx91IiufucprbTTavpvC/ZnJ5SsuF5itLzDL3otUgYvZZqbtyP1onT1FwzcuMPGdv4H52bsfvOVXKOpjwnY+PNmX/t8aCWIxQJozUpWjdrvn7HxkpZKipPlb5HROMs0XLspc91krvfeUrPY6lo3iljcrc/TW2nz2G6pqPzEV33W5zPFKAfioQAAAAAAAAAANAPO+wCioT1lG76PE0keuzp57Vcmv/YMaLN1Ck1RedjCPSi1yJh9NpNP6+lZJ0YUtOS947c7U9T8/yUvndMOebYY5/zvlF7PKhlb0XCOYWjaI2Ixqz5+o3W8zmP79TYXFNKRfNcouXYS5/rJHe/89Ret6PnLXr/iu5fc76XzvHYMaLnPKWm6HwMAfqhSAgAAAAAAAAAAP2wwy6gSFhXtAH4PJGS8Uo2FUdKjnNpE3Dutqeptfm3dFNtCvRir0XCGuvKqZLX79rHHFNSGlhr7R0SFTFOjT32OWty7fGglj0UCdPr/HRNmfJaTqL1KFLz9VuyZs0VPc4pc116zsa0HDs6vyXvO7n75VJr7R67voZE8y65rkoee6TkOJden7nbnmbN8zkE6IciIQAAAAAAAAAA9MMOu4AiYX3RBuPTlKixQXdMyabalEvHKJnf0s21UzbVpkAvei0S5l43p6mtZF2sLTrmpbLAIHef86yx9g6J5ntqbM2csx7XHg9q6blImF7jl9ahKWtH7v6nidR+/ebGOc2cMUvWwylrYLT+L9Fy7Og8lFw3uftdytL1OzoXKaXHGLtOh0x53ZwrucZSLh2jZH5Lz2fJMU4D9EOREAAAAAAAAAAA+mGHXUCRsI3SjaAlSje+ztm8WrIBOCXauJu7z3nS/KZuAE63n7qpNgV6oUh4L3ecIVMKIqWi9S06ZunaO2fupWvvaaYcZ2zdnPNeUXs8qKXXImHJa7zkd6Lod6CSdaH267fksU0Zt3StnSKa4xItx47ORck1k7vfWOZcA2ke0bU5pGTOSel10OqaTYnmmrvPedL8Sh/zYMr5PA3QD0VCAAAAAAAAAADohx12AUXCdko2hJYq3QCbkm47Jm1WnTJeyYbd0s2/KWm8pXPc6zXB8fRYJIxeryWv+TnGXtMt1Hic0VpzmvT40jHHpNtcGjM6VrRunhobq+Rxn6s9HtTS879ImHu9nOfS6zqtJdGakFKixes3N1YuY+vi2Hp4ninrX5JunxtnyBItx47et6L3mCR3v5Kk5yI6z+n40eM/Te3n7TS151ryWoien9PUOJ/R6wPohyIhAAAAAAAAAAD0ww67gCJhWzXnHo2VS7rPaXK3GUu6T6m5458md5vzpNtFG4OhFz0WCaPXT7TxfYkejneayJTSwGnmrG3Rsaacp7Fjpp9NVXs8qKXnImG01p4mvY6G5H6eS+ma0OL1O+WxLc2cOUbzW6Ll2NH7QPp5JHe/IWnuJddYus1pcreJku43x5zjnc517v1LzR3/NLnbnCfdruW1BtSlSAgAAAAAAAAAAP2wwy6gSNje2PynKt18WiPpWFO1nt8wJxtr2Ys9FglLigpz5daItY93mhJRsaNGhnOQ+9mQ9LyVGnvcwzo6Re3xoJaei4RJtAbNzZTXXavXb6vHdp457xEtf09sOXb0flNyLnL3GzK8j7R+7pZcV8la11bKnLmudf5aXmtAXYqEAAAAAAAAAADQDzvsAoqE67j0GOZovXk1ZdjAOker+Z3OycZa9qLHImHuNXOaOaWNUucliSVrTYloPRpKFZGo3LEkp+c79/MhpXNNxh73nHNeezyopfciYRKtQ3MyZZ1u+fpt8dhOM/f9qOXviS3Hjt5rSs5H7n5DTt9HWj13S6+pQetrK2XJXNc4fy2vNaAuRUIAAAAAAAAAAOiHHXYBRcL15B7HXK02r6bM3bR9qvb8TjfVJjbWshd7LBK2dro+1FhvxkRrxWmpIpLmWnttO3/8udsMmTLXsXmer6clao8HteyhSJjUXDumrputX781H9tplrw/tPw9seXY6THnxhxSck5y9xty/j5S+7mrcT2danVtpSy5vgatz1/Law2oS5EQAAAAAAAAAAD6YYddQJFwXeePZYm0AbbmBta0WbXGptpBrfnl5mRjLXvRW5EwvZ5yr5nTtHb6+m0tWivON+2XiMYsSTpubm3L3XZIOm6psbV3zmOuPR7UspciYbJ07Zj7Wlvj9VtjXRyS5rT099FoPku0HDt6jy45L7n7Dcm9j9R67pY+Z5ekcceu4alJj7fmXGvNLzenltcaUJciIQAAAAAAAAAA9MMOu4Ai4fpOH08NSzew1t5Qey6NP2d+Y/OysZa92FuRML221pDWhJbrzqnc4xyS5jFHmnu0DuWSjjd2jnP3GTLluRlbc+c85trjQS17KhIOxl5Pl7JkvVzr9Tt3XRyS5lLrPSiaxxItx47eo0uug9z9hoyd37nPXa3nLJIe+5zXzpA0zyWvo0gaf878xuYVPSdAPxQJAQAAAAAAAACgH3bYBfZQJLxGw0bT2tKG02gj63CblptpLxnmdml+W80LWumtSNiL9Fq/FmnNGta23LqW/vs1PV7oyR6LhIO0LlxaO4Z1Y6+/E0XrYkr6mfWxvty5HlJyrofn7dJzl36esuW1Ocxh7Pracp7D3MbO4V5f20CeIiEAAAAAAAAAAPRDkTCgSLiNtHk0bSQFrpsiIUA7ey4SQgvnpbXTpAIbAPUpEgIAAAAAAAAAQD80tQKKhNvxL1HA9VMkBGhHkRAeyhUIhygSArShSAgAAAAAAAAAAP1QJAwoEgK0o0gI0I4iITyUKxAOUSQEaEOREAAAAAAAAAAA+qFIGFAkBGhHkRCgHUVCeChXIByiSAjQhiIhAAAAAAAAAAD0Q5EwoEgI0I4iIUA7ioTwUK5AOESREKANRUIAAAAAAAAAAOiHImFAkRCgHUVCgHYUCeGhXIFwiCIhQBuKhAAAAAAAAAAA0A9FwoAiIUA7ioQA7SgSwkO5AuEQRUKANhQJAQAAAAAAAACgH4qEAUVCgHYUCQHaUSSEh3IFwiGKhABtKBICAAAAAAAAAEA/FAkDioQA7SgSArSjSAgP5QqEQxQJAdpQJAQAAAAAAAAAgH4oEgYUCQHaUSQEaEeREB7KFQiHKBICtKFICAAAAAAAAAAA/VAkDCgSArSjSAjQjiIhPJQrEA5RJARoQ5EQAAAAAAAAAAD6oUgYUCQEaEeREKAdRUJ4KFcgHKJICNCGIiEAAAAAAAAAAPRDkTCgSAjQjiIhQDuKhPBQrkA4RJEQoA1FQgAAAAAAAAAA6IciYUCREKAdRUKAdhQJ4aFcgXCIIiFAG4qEAAAAAAAAAADQD0XCgCIhQDuKhADtKBLCQ7kC4RBFQoA2FAkBAAAAAAAAAKAfioQBRUKAdhQJAdpRJISHcgXCIYqEAG0oEgIAAAAAAAAAQD8UCQOKhADtKBICtKNICA/lCoRDFAkB2lAkBAAAAAAAAACAfigSBhQJAdpRJARoR5EQHsoVCIcoEgK0oUgIAAAAAAAAAAD9UCQMKBICtKNICNCOIiE8lCsQDlEkBGhDkRAAAAAAAAAAAPqhSBhQJARoR5EQoB1FQngoVyAcokgI0IYiIQAAAAAAAAAA9EORMKBICNCOIiFAO4qE8FCuQDhEkRCgDUVCAAAAAAAAAADohyJhQJEQoB1FQoB2FAkBgK0pEgIAAAAAAAAAQD8UCQOKhADtKBICtKNICABsTZEQAAAAAAAAAAD6oUgYUCQEaEeREKAdRUIAYGuKhAAAAAAAAAAA0A9FwoAiIUA7ioQA7SgSAgBbUyQEAAAAAAAAAIB+KBIGFAkB2lEkBGhHkRAA2JoiIQAAAAAAAAAA9EORMKBICNCOIiFAO4qEAMDWFAkBAAAAAAAAAKAfioQBRUKAdhQJAdpRJAQAtqZICAAAAAAAAAAA/VAkDCgSArSjSAjQjiIhALA1RUIAAAAAAAAAAOiHImFAkRCgHUVCgHYUCQGArSkSAgAAAAAAAABAPxQJA4qEAO0oEgK0o0gIAGxNkRAAAAAAAAAAAPqhSBhQJARoR5EQoB1FQgBga4qEAAAAAAAAAADQD0XCgCIhQDuKhADtKBICAFtTJAQAAAAAAAAAgH4oEgYUCQHaUSQEaEeREADYmiIhAAAAAAD8/9n7v1htuv4+7HqhJYIaNUpRJMABFP70ABUIkPiMniDxColgx2kcmiZu01RIhZjYSFEOqoCoU+HHvH3TKE4aA3UdUVBb0jhKg5ASkYO+AokccAooghNEjiAcUFFkEz3k5/se3bOve82stWZ+a/5c8/lIX8nvva9Zs665Ztbee/Z8/QAAAFyHImGFIiHAOIqEAOMoEgIAZ1MkBAAAAAAAAACA61AkrFAkBBhHkRBgHEVCAOBsioQAAAAAAAAAAHAdioQVioQA4ygSAoyjSAgAnE2REAAAAAAAAAAArkORsEKREGAcRUKAcRQJAYCzKRICAAAAAAAAAMB1KBJWKBICjKNICDCOIiEAcDZFQgAAAAAAAAAAuA5FwgpFQoBxFAkBxlEkBADOpkgIAAAAAAAAAADXoUhYoUgIMI4iIcA4ioQAwNkUCQEAcvye/+GvfPv3/te/+ZD/2B/8syIikpC///d8/8P6+ht+7OeLrxMRkf78fT/+vQ9rbPzv0utERERERERElvL6u+Vv+ck/8/mvJ2ylSFihSAgwjiIhwDiKhADA2RQJAQBy/MjP/PKHn6tERERERERERERERESemB/68e99/usJWykSVigSAoyjSAgwjiIhAHA2RUIAgByKhCIiIiIiIiIiIiIiIoqEGRQJKxQJAcZRJAQYR5EQADibIiEAQA5FQhEREREREREREREREUXCDIqEFYqEAOMoEgKMo0gIAJxNkRAAIMd/45u/9OHnqsh/8Y/+69/+yB/7X4qIyM78A7/vT39YX//eH/354utERKQ/P/R7/uSHNfaH/pE/WXydiIiIiIiIyFLid8n575Y//Af+9Oe/nrCVImGFIiHAOIqEAOMoEgIAZ1MkBADI8Ud/6a9/+Lkq8hf+j7/67V/5v34rIiI781/64x/L2r/x9/6p4utERKQ//+B/689/WGP/U//0LxdfJyIiIiIiIrKU+F1y/rvl7/jpX/781xO2UiSsUCQEGEeREGAcRUIA4GyKhAAAORQJRUTGRZFQRGRcFAlFRERERERkbxQJ8ykSVigSAoyjSAgwjiIhAHA2RUIAgByKhCIi46JIKCIyLoqEIiIiIiIisjeKhPkUCSu+9xf/9x9OushPfv+vfPvf+cW/JiIiO/PbfuqXvlpj//C/+FeLrxURkb78J/6pP/dhff33/yP/fPF1IiIiIqPyG37s5z/8PPJf/e/9a5/vuAEA0EORUERkXBQJRUTGRZFQRERERERE9kaRMJ8iYcWP/ezH/5KLiIiIiIiIiIiI9Oe3/qE/+/mOGwAAPRQJRUTGRZFQRGRcFAlFRERERERkbxQJ8ykSVigSioiIiIiIiIiI7I8iIQDANoqEIiLjokgoIjIuioQiIiIiIiKyN4qE+RQJK370n/0LH046ERERERERERER6Y8iIQDANoqEIiLjokgoIjIuioQiIiIiIiKyN4qE+RQJKxQJRURERERERERE9keREABgG0VCEZFxUSQUERkXRUIRERERERHZG0XCfIqEFd//lb/x4aSL/J/+b/+Pb3/t//d3RERkZ37qz/3Vr9bY/8//99eKrxURkb786M9+/H+I8cM/+QvF14mIiIiMym/8ie9/+Hnk93/vL3++4wYAQA9FQhGRcVEkFBEZF0VCERERERER2RtFwnyKhBWlIuHf/Ft/+/NXAdjjj/ziX/tqjf3VX/s7n78KwB4/9if+jQ/raxQJAQCOpEgIAJBDkVBEZFwUCUVExkWRUERERERERPZGkTCfImGFIiHAOIqEAOMoEgIAZ1MkBADIoUgoIjIuioQiIuOiSCgiIiIiIiJ7o0iYT5GwQpEQYBxFQoBxFAkBgLMpEgIA5FAkFBEZF0VCEZFxUSQUERERERGRvVEkzKdIWKFICDCOIiHAOIqEAMDZFAkBAHIoEoqIjIsioYjIuCgSioiIiIiIyN4oEuZTJKxQJAQYR5EQYBxFQgDgbIqEAAA5FAlFRMZFkVBEZFwUCUVERERERGRvFAnzKRJWKBICjKNICDCOIiEAcDZFQgCAHIqEIiLjokgoIjIuioQiIiIiIiKyN4qE+RQJKxQJAcZRJAQYR5EQADibIiEAQA5FQhGRcVEkFBEZF0VCERERERER2RtFwnyKhBWKhADjKBICjKNICACcTZEQACCHIqGIyLgoEoqIjIsioYiIiIiIiOyNImE+RcIKRUKAcRQJAcZRJAQAzqZICACQQ5FQRGRcFAlFRMZFkVBERERERET2RpEwnyJhhSIhwDiKhADjKBICAGdTJAQAyKFIKCIyLoqEIiLjokgoIiIiIiIie6NImE+RsEKREGAcRUKAcRQJAYCzKRICAORQJBQRGRdFQhGRcVEkFBERERERkb1RJMynSFihSAgwjiIhwDiKhADA2RQJAQByKBKKiIyLIqGIyLgoEoqIiIiIiMjeKBLmUySsUCQEGEeREGAcRUIA4GyKhAAAORQJRUTGRZFQRGRcFAlFRERERERkbxQJ8ykSVigSAoyjSAgwjiIhAHA2RUIAgByKhCIi46JIKCIyLoqEIiIiIiIisjeKhPkUCSsUCQHGUSQEGEeREAA4myIhAEAORUIRkXFRJBQRGRdFQhEREREREdkbRcJ8ioQVioQA4ygSAoyjSAgAnE2REAAghyKhiMi4KBKKiIyLIqGIiIiIiIjsjSJhPkXCCkVCgHEUCQHGUSQEAM6mSAgAkEORUERkXBQJRUTGRZFQRERERERE9kaRMJ8iYYUiIcA4ioQA4ygSAgBnUyQEAMihSCgiMi6KhCIi46JIKCIiIiIiInujSJhPkbBCkRBgHEVCgHEUCQGAsykSAgDkUCQUERkXRUIRkXFRJBQREREREZG9USTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcigSioiMiyKhiMi4KBKKiIiIiIjI3igS5lMkrFAkBBhHkRBgHEVCAOBsioQAADkUCUVExkWRUERkXBQJRUREREREZG8UCfMpElYoEgKMo0gIMI4iIQBwNkVCAIAcioQiIuOiSCgiMi6KhCIiIiIiIrI3ioT5FAkrFAkBxlEkBBhHkRAAOJsiIQBADkVCEZFxUSQUERkXRUIRERERERHZG0XCfIqEFYqEAOMoEgKMo0gIAJxNkRAAIIcioYjIuCgSioiMiyKhiIiIiIiI7I0iYT5FwgpFQoBxFAkBxlEkBADOpkgIAJBDkVBEZFwUCUVExkWRUERERERERPZGkTCfImGFIiHAOIqEAOMoEgIAZ1MkBADIoUgoIjIuioQiIuOiSCgiIln5+X/9B9/+wT/2zbf/hX/4u99+5zvf+ZD4t/hapLStiIiI3DuKhPkUCSsUCQHGUSQEGEeREAA4myIhAEAORUIRkXFRJBT5lHg4//Wh/LXE60vjiMyjSCiSl1J5ainx2tIYIndMlANL5/lSnP8i8s7x84A8NYqE+RQJKxQJAcZRJAQYR5EQADibIiEAQA5FQhGRcVEkFPkURUIZEUVCkbwoDsjT0vuzyTyl8URE3iF+HpCnRpEwnyJhhSIhwDiKhADjKBICAGdTJAQAyKFIKCIyLoqEIp+iSCgjokgokhfFAXlS9pQII6UxRUTeIX4ekKdGkTCfImGFIiHAOIqEAOMoEgIAZ1MkBADIoUgoIjIuioQin6JIKCOiSCiSF8UBeUr2lggjpXFFRN4hfh6Qp0aRMJ8iYYUiIcA4ioQA4ygSAgBnUyQEAMihSCgiMi6KhCKfokgoI6JIKJIXxQF5QjJKhJHS2CIi7xA/D8hTo0iYT5GwQpEQYBxFQoBxFAkBgLMpEgIA5FAkFBEZF0VCkU9RJJQRUSQUyYvigDwhpfN5S0pjv3v+4B/75tev/Uj83xE/r71P4rMsfcal18p7Jz7/0rpXSry2NIbIHaNImE+RsEKREGAcRUKAcRQJAYCzKRICAORQJBQRGRdFQpFPUSSUEbl6kbB0br/GuS5XieKAtOa1cLR07kxfmwpJZ693MYfSPLekNP67Jj63pc84omx2/6xdG/HZ+1nlWVm73l8Try2NIXLHKBLmUySsUCQEGEeREGAcRUIA4GyKhAAAOa5eJCw9qLIl8XBLZHqIsbQvEZHsXL1IWFovt8QaK7XEA8ilc2cpHliWlrxDkfDsB7B7r81IaRy5f+JcLH3epZx93srxiZ/ves6RtcRYZ3yfL81la17HjvdUet3WxLGOTD9bn/VzUev3CGvCfdN6XfvZ/DnpWetd+/JOUSTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcjylSFjK9GBeab8iIhl5SpGwFGuszNNbVvKwsrTkHYqEkTMfwu69NiOlceT+URyQ18TPcT3nxZYcVZLbstat5XX8eB+l143IUccsUtr/Uvzsdr/0nLfW/efEzwPy1CgS5lMkrFAkBBhHkRBgHEVCAOBsioQAADmeXCScx8MvIjIiTy4SzmONld4H+D2MLi15lyJhJB7mL40xOlvKNaVx5P5RHJApsR71nA8Zif2N/N6/peg3FfYir8ckY/yMjDxmW86B0jhyzWz5/h/neWksea/0XPvx2tIYIneMImE+RcIKRUKAcRQJAcZRJAQAzqZICACQQ5HwY0Y+iCciz4si4cdYY5+b3oeVnSvSkncqEkbOOO97r81IaRy5fxQHJNaDLeWxzMT+R6yFpX2tZW0OpTLVWUXCKSMKXqX91HLG9zHZli3nrLX/GfHzgDw1ioT5FAkrFAkBxlEkBBhHkRAAOJsiIQBADkXCr+PhNxHJiiLh17HGPjPxuZfOh6U4T6Ql71YkjJTGGZneazNSGkfuH8WBZ6fn8z8imT8H9K5zW0p5ZxcJp2Qdty3fGyIjCo0yJluv+dJY8l7x84A8NYqE+RQJKxQJAcZRJAQYR5EQADibIiEAQA5FwnIyH1wUkedGkbAca+zz0vtAunNEWvKORcKjH8jeUhYpjSP3j+LAc9Pz2R+ZrPPsiJ9BrlIkjGQcty3fGyKKhPfJ1uu+NJa8V3rOjax1WuQKUSTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcigSLqc0HxGRnigSLqc0H3nfHPEQvzwv71gkjBxZxNhSFimNI/eP4sDzsrUsdmQyzrXekl9pjFquVCSMxHHb+7NUadxaFAnvk63nbGksea/4eUCeGkXCfIqEFYqEAOMoEgKMo0gIAJxNkRAAIIci4XI8ECMie6NIuBxr7LOiSCgj8q5FwshR18CWIlFpHLl/FAeelS3X/lnZe749sUg4Zc/3ktJ4tZTGkWtmyzmrKPqM+HlAnhpFwnyKhBV3KBJ+97vt3xQi8frIN9988+v5wQ9+8HkkgGPdoUgY62RpLW3JtN5ac4EzKBICAGdTJAQAyKFIuJ7SnN498XBYPAzUmtIYSyltvxQlEnmHKBKupzQnec/0FhZ8D5CWvHORMFIaMztbykSlceT+iZ+/S593KfHa0hhyj2y57s/OnnPuiHP7qkXCyNafqXrPE+vC/dJzbUT8fP6MHLFmilwxioT5FAkr3rFIuBYlF+BI714kXMtULgQYRZEQADibIiEAQI53LBLGgyxTSl/vyRP/P673PgRZGmMppe2X4v/bvbxD3rFIaI2VLel9GN2DytKSdy8SxjpbGjczvddmpDSO3D8939ePODdlXEqf6R2y9bw74ty+cpEwsvXnqtZjZ024Z3p+BvCz+XNyxJopcsUoEuZTJKx4WpFwHoVCYLQnFwnniXUcIJsiIQBwNkVCAIAc71YkXHq4aeuDfU98KEaRUCQv71YktMbK1vQ8qBzxsLK05N2LhJHR62TvtRkpjSP3j+LAM9LzOV8xW35HPOLc7v1ZOPYT28wT/zby8ynNuyW197b1mMk1Ej8H1M47P5c/Kz3rkOtf3imKhPkUCSueXCSMxNgKhcAoioQf479QCGRSJAQAzqZICACQ4ylFwilbHswrjfPOqT0o+JrSGEspbb+UmEdpDJE75SlFwinWWFlKb1nJA8vSkicUCSMjr4feazNSGkfuH8WB90/v73m1xHkQY5bWqPi3SHx9y8+Ha+ldE484t3uPbct+puNX2n5Ltr63SGkuMV78W+n1cr+UrtX4t97rTe6f1/NgLXvWFZGrRZEwnyJhxdOLhFOUCYERFAm/jv86IZBFkRAAOJsiIQBAjqcVCSM9D8VEnvZw3OsDgrWUxlhKafuleChR3iFPKxJGrLFSSpw7pc9/KR5alpY8pUgYKY2fkd5rM1IaR+4fxYH3zpZrvZT47Lf+7Nb7e+ZaSuMv5Yhzu/e99e4nPr+M4+fnKxGp5Yg1U+SKUSTMp0hYoUj4JcqEQDZFwnKUCYEMioQAwNkUCQEAcjyxSNj7AN7WByXvmt7jUxpjKaXtl/K04y7vmScWCa2xUkpvgcGD7tKSJxUJRz2o3XttRkrjyP2jOPDe6fl8l5L1M1vvz4ql9MzliHO79z1t3U+s2Xs/Sz9jichajlgzRa4YRcJ8ioQVioQfo0wIZFIkXI4yIbCXIiEAcDZFQgCAHE8sEkZK2y7laSWX3ocgS2MspbT9Up523OU988QiYaS07VJc689Ib1nJQ+7SkicVCSMjHtbuvTYjpXHk/lEceN/0/n73mlFrT885V0rrzwpHnNu9x3jvMd2ydk8Z8XmKyPvkiDVT5IpRJMynSFjxDkXCkigETuktySgTAlneoUi4tCbO19jIltJ3bAewlSIhAHA2RUIAgBxPLRJ6MGY5ioQieXlqkdAaK6/pfeC99VyTZ+dpRcJI9rXRe21GSuPI/eN79/um57N9zejPes/cWn9fPOLcPrpIGNmyfk/xc5aILOWINVPkilEkzKdIWPGuRcKSKLy0FF38V7KALO9cJFzSWyoE2EqREAA4myIhAECOpxYJex70e9qDMYqEInl5apHQGiuv6X3Y3QPu0pInFgkjmddH77UZKY0j94/iwHum93e7eY76nHvOvde0rIdHnNu9xznr2G5ZwyNHfbYicr8csWaKXDGKhPk0FCqeVCSc1Eozkd7iDEDJE4uEE+VtYDRFQqDF9DPJUgD2UCQEAMihSFjP0x6M6X0IsjTGUkrbLyXmURpD5E5RJKzHw4fPSO+D7q3nmjw7Ty0SZq6bW0oopXHk/lEceM/0fK7zHP0Zb51ny++MR5zbvb9DZx7fLet4xM9aIlLKEWumyBWjSJhPkbDiiUXCUCvOxNcB9npykXBSW8MjAFsoEgIt4meZ0s8fU/b+rAM8myIhAEAORcJ6nvZgTO9DkKUxllLafiktD4WKXD2KhPV4+PAZ6X3I3cPt0pKnFgkjWWtn77UZKY0j94/iwHum9PnVcsbnu2UtmlIab54jzu0zi4SRnvc4xe/bIlLKEWumyBWjSJhPO6HiqUXCMGpcgIki4Se19VZ5G9hCkRBooUgIjKRICACQQ5Gwnqc9YNf7EGRpjKWUtl+KBxvlHaJIWI9r/RnpLQi0nmvy7Dy5SBjJuE56r81IaRy5fxQH3i+9v9dNOet78Kj5HnFu9859xDVU2k8tpXFE5Nnx84A8NYqE+bTBKp5cJPRAKTCaIuEXpbGnxDoP0EuREGjh9z5gJEVCAIAcioT1PK3k0vsQZGmMpZS2X8rTjru8ZxQJ63GtPyO9ZaWzSgxyrzy9SBjZe630XpuR0jhy/ygOvF96PtMpZ3+2pTnVUvtZ8ohzu/d36BHHuXcOET9vichrjlgzRa4YRcJ8ioQVTy4ShtJ4U/wXsoC9FAm/qO0HoJciIdBCkRAYSZEQACDHU4uEpW2XMvLhuhg7HvgrPagT/xY5umTT+wBiaYyllLZfSvb7nh/r0vGOTMc7csWHKpfmf+U5Pz1PLRKWtl3KEedtz/Ufr73rtVR6X5HSa49OHNPS3JaS+RnUPvvI/PMvjXFmluYf/37VOR+VdysS9l4nkTgvSvtuzZZ9lsaR5Ws1/vfea3Vp7EjWWlAaeynx2tIYU1qOxd75bknsc5rbfF7zTPOO15XGODNL85/m+zrn+WtaM9/+jMR7LM2rltJYU9Y+79fEa0tj1BLHvjTeUrbuZy1bjt3VzvPp/F76zOLf4zVnrB+vWbsep3mWtmvJ0tjT+PG1PeOflek9ld7X/L2N/nyvMo8ptc97mk9p2xFZOi6lxGtLY7Rm7b1P4x/9/uW5USTMp5lQ8fQi4drYioTAXoqEH5XGn2LNBXopEgItFAmBkRQJAQByPLFIGK8pbbuU0hh7Mj0oU9rXWkoP6PS+l9Lx2TKXs9PzENHSA0mtyXhgqWcOpc+5dfvStnJunlgkPHuNnRLXbsb13/Ke59myz9I4vVlby3vfw1J639t8Teo9L/bOee/nv+Wzf03P/ufHqnf70rZPyTsWCXuvlciec2DL/krjzFPaZilxrZXGWEvvnGvX8p5rNcbu2T7S+p63jB2vr73fpew5DpEt6+6e+bYmxo+5lfbfkpjjlvN0nphDaeylvB6Tnu2nbbe859LnekZKc6tlfsx6z8Mtmc830nu8Rx3r0r5qKY0T2Xve9mTrNbplDdn7vrZ81q1z3HIcYpvSWC3puVb2nLNHfr5ruco8IjHelvmUPocYq/TapdTeyxHnRcyhZz/z7DnnRdaiSJhPkbDi6UXCtQKNUguwlyLhR8rbQCZFQqCFIiEwkiIhAECOJxYJex/WKY2xNVsfXJpn/qBOxgNDGXM6Oi0PDm19KGkpex5W2vogVu/nO99WrpEnFgnPXGMjsf8R13/Le4/0XreR1rHXsvae96xf85TGXst8v73HZesxyf78Y6ytc+mZR7x22q73WM23fVresUgY28V5XPr6WrZe573nW6Q0zjylbZayZd69c65dw1uv1Z7tXhPbrs1rz9iR2nsuZetx2HIOvaZ2PLYkxttyLa3lqOtsfix6z4Vp2y3n0Nb3l50tn9ueY7Yl8/lGeuc8v4Yys+XYlcaJ7DlvWxPbZH1erfvf+r56t3vN2vW1d+yt51PPsd+yj3hfR3++pVxlHlO2XKevmX8evedP7T2MPi8y3n9ky75F1qJImE+RsEKRcPkbQuwXYA9Fwo/W1nNrLtBLkRBooUgIjKRICACQ42lFwt4HbNYe9upJ7DfrwaVIjBVj9r6f0vHJeojnyIx8CG8t03Ev7XctPZ/99DDUlveRdb5KXp5WJOw9bzPP2dh35jpbSut8S9uuZe9xaDnutc+ulphjadylTGvZlN5zY8t8R37+Wz4ja//4vGuRMLLlfN5y3Ww550rjzFPaZilbzt/eOdeOy5ZrdcvnU8rr3OJ/Z43de2zPPA5Tap9Va3rPkZ7Ee+6dZ+98pvG3HN9pn3u2PTtbPr/5+Z59XpYyn28k9l963VJijq9jZGTLsVs6n7eet63ZMtdaWq7PLe8ra66lz7333FnL69i19FwrvefsWZ/va64yj0hs03PMa5nm0fsea3PvmWO8tjTGUjLf/5QtP0uKlKJImE+RsEKRcPmHIKUWYC9Fwo+suUAmRUKghSIhMJIiIQBAjicVCXsfromUxunNlv22pvehs9LxyXxw7agsPSg04qGkUmoPXr2m90GsreeMB6iulycVCbect6VxtmTrNbMlLQ9LHn0sWtaYvetD7/r6ur/eY7J2rr0mXts7vy1p+ezn6ZlTvHbrefzktf+di4SR3vO69xyNbDnvSuPMU9pmKVvO3945vx7X1/Req72fSy3z+ZW+vie19z7P2cdhSoxbml9r4pwqjZudnmO75ZzdenynfZa+tpa9xz07pTmuZT7/UefmPPO5RnrPu5HHu7S/tSytw1vO29I4pfSO3ZPase3dd/aaMp/fyLFb0nOt9Ix95uc7z1XmERk5l97zKOZSmuOUUedFz7i9qb0nkZYoEuZTJKxQJFz+BqbUAuylSPiRNRfIpEgItFAkBEZSJAQAyPFuRcJ4MCUeIJkSD9RsfTgrtivNqScxh9LYZ6X0cE32w2tHpPTZjHwoqZTSsVzKUXPrmZMck3crEl5tjY2csYZNx6E0nyml7day5/otjVdKaduWxNxK461l7xitx2PL3PYkPvvSPEqx9o/PuxcJt5zfPedoZMs+SuPMU9pmKVu+F/TOuXaNHHWtrmXkPF7f71KucBym9J7HU45+D7Vza8qW62xL5set9PW1ZP1clpUtn+WebXszn2uk9+fRred4S0r7W8vSZ5+91s4z8jMq7W+eo67HtcQxHzWPnmu553PoOWfP/Hznuco8rnDOzVO7VkecFyOPwdW+f8l9o0iYT5Gw4ulFwrWxo/ACsIci4UeKhEAmRUKghSIhMJIiIQBAjncrEmal5yGppVztYaFI6YGh3ocer5DXB4XOeg+1B7CmjHyAbZ7SvuXcvFuRMCsZa2zk7PWrNKcpvXN7Xdda07Of1jXrNb1rWOm99H5PbJ1radvRaT1/rf3j8+5FwsiWda5nPem9NiOlceYpbbOULWtf9npy1LV6VlqP8dWOQ+v3gSlbrpWMtMxzy3W2JdNnvWV/vcd7dLZ8ntO2R5zL87lGeufb+rPElvS+/6W59J5HrefQyGu1ZQ5bro+7pfS+S+k5V1rP2bM/3ylXmccVz7fa/EecF6VtM9K6f5GWKBLmUySsUCRcHluRENhLkfCjtX1Zc4FeioRAC0VCYCRFQgCAHIqE5ZTm0pueh2+OSumBoZEPWI1KzHma/5kPZrU+tHTUuVDat5wbRcJySnPpzRUeylxbA7bMrzROLT3ry3zt7ElprLWUxug9HqXvV6858/vsleZX2vdT8oQiYWTLudRyjkZ6r81IaZx5StssZcu61Dvn2rE4cy05KqX3/ZorHoeR53FW4riV5jTPUfObrqctv9+9zvnsbDlm07ZHnMvzuUZ6j3nLebM1WXPp/Qxar9dRn0/rMT1zvTgqrd9bez6L1uN79uc75d3nsSe1a7Vnzi3HY+Q117ruiLREkTCfImHF04uEpfGmAOylSPhRafwpioRAL0VCoIUiITCSIiEAQA5Fwq9TmkdvrvpwWukhmy0Pmp6d+YNxWx/Miu1inDgmU7Yci5aH9I54eKzlAS45PoqEX6c0j95caY1dWwN615TSGr2WLcehdx+972FpLeqda22eW9brSNbaHynNax5r//g8pUgY2XI+lcZ5TeyztO1aSuPMU9pmKXH9lcZYS++c145r5Ihr9ezUjkHkqsehNNfXlLZrSen7wZbjUDuPY+zSdtmZPuct39de53x2thyz6f0fcS6/zrf3mMccX8fIStbn3/sZTMd/Lb1jxnGK9xPbTSm9v57j2TuHO6b1ePRcKy1jXuHzjdx1Hkcl5lWa75R4n6XtSmk5Jj3jRUqfRWmM2vsQ6Y0iYT5tsIonFwnXyjOxT4C9FAm/8BA/kE2REGjhZxBgJEVCAIAcioTlxEMqex5KKY15hZTeU+kBqasn5rx17rUHneIY9T7oVBpnnt7xtqT2vuScKBKWs3eNPeKa6snSe4l/L71+KdPa1potx2H0PkpjRHqPRe38KG1TS+29Z39eR5ynsY/Svp+SJxUJe8/PSMv5sWXc0jjzlLZZSu+aFOmd89pxjey5VmPbeA+xj0j836XXbc187MjWubYc5z3HYWRqc99yzOO9xvEsjTel93iUxpgS+yptk53pPW05Jq9zPjtbjtn0/o84l1/n23vMY46vY2Ql6/Pv/Qym47+WnrmtHaPY1/xzLr1mKVvOrXniPcQYkfi/M8+3GGsaexq/9LqWlN77a3rmvvZ5TLnC5xu5yjzm+7lS4n2V5jtl/p5rWTt+U0rbLWVtbvPPNf7v0mtE9kSRMJ8iYcWTi4Rr4x7xX8aKB1ZjPzGPpbnEv8drrvJw69p8rzZXuAJFwi9q+8kW856vs6V9TutZvOYK1uZ75lyvfizv+FmT452LhEvntPP4k+nYvB6f+TGKY/iu1t7//Bi8+3FoFcegdJymOEbAHoqEAAA5FAnX0/JQzGv2POwVie0j8QBNZPrfPQ/zLKX0UE78W4w9pbTdWubb1lLafiml7afE8Yi5l7ZbS2z7+v6XEq8tjVHKNJ+l9IxVyvw9zzOdH/Ga2hzknCgSrqfnmpwynfNbM11P0xo7v472pDTXSO/1XxpjKaXtW1Iaayml7Zey9nnGcS5ts5R4fWmcyJbPa228eXrnWRpjSu9n/5rpXH0dd37Olr7+pDypSBjZcu7XzpHecz5SGmee0jZL2XIO9865dly3Xqtr42Zc/6VxI1s+s7XxpuydcyTGiM805jhly3n7mtJ8p5Rev5aWYzGl55isnctbPrPXTMf1dez492me83973b6W+ZhXyJZjNh2fOB7zlF67ltftS3mdb+8xL42RlazPv/czKJ2fr4n3Xdq2lJbx4r1GSl9bypZzK7L2mW0dc56199tz3KZkfx4t5+wVPt/IFeYRry/trzXTPmN+kel/bzkXXlN7z5nnReyrtF0ptbEiMV7L60S2RJEwnyJhxVOLhGtjxtdGiYdUa+9nLRkPA/e+961zjrnC0ykSflEae0rmelF7P2uJtW7vXOJ4lcaeUjqeW+Ycc836bJacfSxrrj4/xrtDkXDtZ6j42quen7vida/rwJY1aIve91XSO0bPsZnnXa71eB9b3v+UzONw9fOsNr+e+F4B1CgSAgDkUCRsS+1Bm3lK27dkekioNOaUeE1p29a0vI/efZTGWEpp+6XEPEpjTOmd55aHjUrjLKW0/ZSeB7FeUzsOU3rOUTkuioRt6Tl/t15PrQ8mlrZtydJ76B2z9ZrvXQPnaT3evftYG7f3OKyN1XsOtB7TKT1zXRvb2j8+TysSRracV2vj9pzvU0rjzFPaZim912ekd86147rlmLbMu7RdS1q+X22Zc2mcefasWS1z3nKuTVk63iPO39f0HJfS9pE97z32XzuHI/PXxPEqjbWW+VhXyJZjtnScej7DlnO5lN5jvnU/Lcn6/Hs/g5bztLTdUkrbZ2TLuRUpjTXPluM+pXbstsx5ad2cJ/vaKG23lNL2WSntbyml7TNS2ldL4nOrnQ97zrVIbfzM86Jnri3nrMjIKBLmUySseGKRsDZe1oOvr/Y8+PuaPQ+09jyQmzHnUccT7kCR8JMj1t3M0kDMd+ucavOYj5sx59d1O8NVjuWSq8+P47xbkbC2Hpfyev7Wro+s873nfS3pGWPtta2567We8d7nySjGXf08q82vJ4qEQI0iIQBADkXC9tQetolsecAr0jL2PD0P9szTsp/eh5JKYyyltP1Sag8R9R6DLQ8l9Xyea8d25Ocl144iYXtazveea3Ke3mtpyzW79hBl6fVrKY3xmq3rSqR1PezZx9r7j/R+dkufWe84tXktpTTWUkrbR7Z+Rr3n65PzxCJhZMu5VRon0ntNRUrjzFPaZimjfz6L1I5r5vGcp/dn6iktx2TE57Z1zer9DLfuJ2Os1mtsnp7PcelYbPm8IvH+SuPVsuXc23JsRibzPfScJ0cd8637acmWY1cap/e8bTmHStstZdQ52fu+IkvX9mtK27akNNZrete7ljlnXxul7ZYy6vONlPa3lBHz2HKORXrn0ntOTKntJ/O86FmPWs4xkZFRJMynSFjxpCJhPARaG2vtgdStMh9kfc2Wh3RbH8itHaueZD1MDHejSNi2luyVuV7NM18TW9XW/Ol41l7Xky3zXHKlY1ly9flxrHcqEm49t1+1rkF7tb6vNaOPTSlZ7/8Imd8nStlzLK5+nmUeO0VCoEaREAAghyJhe1oeatny0N7WB5dKY9XSsq/e91AaYyml7ZdSe/CttM1S9jyQVBqvlLX59jyINcVDVO8RRcL2tJzzW66lrWts5r7i30uvX0ptzr3jldJyXErbLaW2Zmcdg97vUbV5LaVnvktztfaPz1OLhL3XU2Tp3NoyVmmceUrbLGXLNdo759px7b1WW+e85dhGSmOVUtp2LaUx5tmyZm1dY7fsq/Q5ll63ltftW9M638zrLFI7d5eyZX9b9zUqvd/vI6VxIj3n29JnWEvvfLfupyU97zeSdd62nEOl7ZYy6hhtuT5K45TSe+wjreto7znWMm7PfFs+j9J2Sxn1+UZK+1vKiHlsWb+2rsGlsWqp7SvzvOg9FluPg0hGFAnzKRJWvHORMB4gbSkPTll7GHWr1n3vSe+Dumtzmo7BiHlnPVAMd/LkImFs17KW7FkbYtvSmJmZ1sVWtTnF10fMu3eer654LOeuPj/O8S5Fwq3nd2z3qjZWaZstWt5XTcsYa6/ZmqxjMNKI911K62f16urnWW1+PVEkBGoUCQEAcigS9qX2kExpm7XseWhpywNwLQ/l9D7oUxpjKaXtl7L24FvvHNfGqqVnX6XtIz0PYk0pjSP3iyJhX+6+xq6tNaXXL6W2Zm1ZU15T20fP2tdynHuP59L3q973XhqjNaXxSsmaa6Q0jiznqUXCSNYatWWc1zFeU9pmKbW1qJTeOdeOa++12vM5lbZfS8t6OqVnnY5kH4eeub5my3n3eq70jrHlXJvSeqyXjknG++3Jlv3Vzo+j03s+RkrjRHrG2npe916Pe66fWnqP3dJces+jlnOotF0t2edm7/vq+ax6z4NIz/srbb+Ulnn3nCvt+4B4AACMe0lEQVQt45W2qyX7842U9lNL5jxK46+l5xx7Te/5HKm918zzYss1sed4iOyJImE+RcKKdygSZmTrQ7Rrjpj3lJ6HdWsP5NZKRVsz4hjD1T2xSBivb13/9qwLmSWBWnrmWZvXyHn3flaTqx7LydXnx3neoUi45/wuqY23dZ14VXtfLWpjPPVn0rXjMiJbjsfVz7M919VrFAmBGkVCAIAc71YkXHsgJr4WD7H0PBRTSmnsyJYHeErj9KT3vdQeGIr0PuhTGmMppe2XEvMojRHpnePaWLX0fK5Lx7f3c/Lg1Pvk3YqEa2tIfO3d1tjetWbt2u0dqzTGlNLrt6Q09pSez7Flje39/JbOtdJrl7J3LS2NWcrS+++9FvbO94l5cpEw0nuORV73MWJtLW2zlJb14zVZ68mU3uNYGmMpvWP3HI/e7ytnHodSeuf/ukZmv/+19OyrtP2W62zPfLfsr+fcOyK95+Pr+TFPz1hr46xl7/mcmaxj13setZyzvXObJ+sc7X1fPfvdcu2VxllKafultJxjPZ9H9nivyVyDzpzH6HOglN73W7tWM8+LLcdjSoxdm6tIZhQJ8ykSVigSfnoINeth10nvw6sxh3hIdZ7e9936HvYcz9h2ntJr1pJ9nOHq3rlIGP8+ZcuaFdmjd3/z9XWab88Y8doWcTxK27dmmlfv/CKtc3zVu5+jjuXk6vPjPO9QJIxztPS1WtbW5tLrpyxt16v2vlqsjVFLbDtP6TVryToO2fYckz2J/fa4+nlWm19P4hoFWKNICACQ40lFwtf0Puw3ZelBmd7xsh6UKo29lJbj0/s+SmMspbT9UtaOT++DUkdl6fj2zjfr3JDz86Qi4Wt615Ipd15jI6UxppRev5SlY731uJay9nmWXr+U0vaviX2Vtl1KaW69YxyVpXPW2j8+Ty8SRrb8TDTffst1Nd++lNI2S9ly3mesJ/P0HsPSGEvpXbN7zoEzj8PSuteb0thrmW+75dw/IqXj3PtZRV7H6E1pzLVkfaZZKc1xLWvzP+Lc7r3WRx7v0v7WsrQOZ68xkd7jVEqM0bKvpfS+r6Xjs5TSGEvpPQ+yz+Xs8a7w+UbOnEfvvuP1pXF6Uxp7KbX3lX1elLbrSewj6ziJrEWRMJ8iYYUi4cdkPShaGruUlv3Fg7Atx6D1AeDe4xmvrz0M3POwLjzJOxQJR2VPyaB1zi3rV2gdr2WsnvVwSsv3gta1u2WsuSsfy3D1+XGuuxcJlxLnaekcjH+fxlsS272ON0/Wub32vuJrLXqPTby+Nv/a+5/narYcjzgnXsUxiLSud1NaP7dQO861z6nV2jFZm2/PeVBL6RgDzCkSAgDkeHKRMNL7ENmU0lg9D9tE9j4cNaVnvy377H3wqTTGUkrbL2XtQaHS66+QpTmfdW7I+XlykTBy5hpbGmNLetfEtWPUM1bWerKWpX1kzPM1vedC6Tj2zOvovM41Yu0fH0XCbetsnJt7tp/vv5TSNktpXUPm6Z1z7bj2XKvzY9eS3nWrNMZSzjwOpe23pPf4zN9D6etXSOmc7v2ses+zUkrj1lIa54xs+X6/tpaMvMan9M454zMupfdciywdu+w1JrJlfmtp2edrRryveUpjLGXtvC0l+1zOHu8Kn2/kzHn0HNPI1vf4mp791vaZfV70HpO1tOxPZGsUCfNpLVUoEpaz5+HXlvn2PKg7aXkYuGXePcez9zi0jJ31YDHcgSJhOXvWgdi2NOZrevcRr6+tYS1rd+v8Ir3fC1rG7hnzXY7lWfPjfO9WJGw979bO+dp103u9LFl7X63vo+fY9M67ZeysY5Gh53txb7GtZ+zWY3Kn8ywcNV/gmRQJAQByPL1IGNnykFHpga/eh2Net9+anocWW45P70OQpTGWUtp+KWsP1ZVef4Uszfmsc0POz9OLhJEz1tjMBwx75792jHrH2rN961pemm/PsX7ddikZx7H3+9OReZ1rxNo/PoqEn9J7fUWmdXLLtq/7f01pm6Ws/by3lIz1ZJ6R3196163SGEs58ziUtt+SPe+h9PUrpHRO977PLdfFa7Z8z6ydI0el9/tnZO2YjbzGp/Qe7637qWXL514aJ7Ln+lzLljnW0nPujnpfU0pjLGXtvC0l+1wecW2c/flOOWsePcc0UhpjS3reb+19jDgvStvuSet+RXqiSJhPkbBCkXA5PQ+nTmoPqUa2jDtpGb+m9XhufaC2Nn7vw89wZ4qEHxPrw96H9VvWsD372LuGtazTkdjPFhnfByZXP5ZXnx/ne6ciYbwuQ22N2HPNzK29r9b30npsts65Nv6VrvHS/F6z9xzJPN53Os/CUfMFnkmREAAghyLhp/Q+7FN6aKX0uqX0PjC2lnjPpX2U0nJ8eh+4Ko2xlNL2S1k7RqXXXyFLc+49v0pjyD2jSPgpR6+xpe23pmeNjdTW955j8Xq8W7ed3n/pa695nW/P94Ce49x7HEvnWs+xOzoZ833dXupRJPySLddH7K/32oyU9j9PaZul1NbMUnrnXDuuPceuZ92L9KypkdIYSznrOPQeg7X0vofpfOnd7siUjs/W97knvedeJGO/GSnNrZbSOFNGXuNTeo935nU0T897jazNI3uNmae0/d60nr8j31ekNMZSeq+57HM5e7wppe33Zsv6VBpnb2rzKG2zlC3vaSk953XtnB5xXsR7LW2/J7Hv3utTZC2KhPkUCSsUCdfT+8Buba6945XUSj+1B2FbjueeedYe1FXM4EkUCb8k4yH92voSydhPadwptfWxZY6RPfOsreMtrn4srz4/ruFdioSZ51rt2sm4bsLa+2p9P6OPTe1YXOVn0tHHYS5rX3c6z8JR8wWeSZEQACCHIuGn9D7UUnpYpvS6pWQ+MBQp7aOUluPTeyxKYyyltP1Slo5RzwNSR2fpIaoRD2LJPaJI+ClPWWMjtX33rGGvY5VeU8q0Xetxn++jZ72ab1dL79pdOtd65nZ09s7X2r8tioQfs+Ua6b02I6V9z1PaZilb1uuM9WSekddq6zo8pTTGUs46DtnrVWkfS5nOly3n7VEpHZ/sz6olW49Rxr73pPeaidTOydZzO7L1/O6dd/Z1NKW0r7WszWPkebv1/Kyl5biOfF+R0hhL6f0emH0uZ4835czPd54z5lF6/VJ6P/9aSvsopXZOjzovesbtSe81KrIURcJ8ioQV71AkjAc/1xIPCUdaHpwtpech1dL282QpjT2l9lB0y3HYqzTmPPAUioS5RY3aXLP2VdvPmvi+U9pmnr3zzDgOGWO0qO1nydXnxzW8S5Ew1o0stTUoa19r76v1Z2c/k7Z9z2g9nq0yzsk7nWfhqPkCz6RICACQQ5HwS0rjrWXP9ld9YCjS+xBkaYyllLZfytIxGvUwWEaWHqIa9SCWXD+KhF9SGm8te7Y/a42NtOy7tN1Spm161uZpm9b1cv65lr5eSu9a1bt2l861UQ+fZmTvfK3926JI+HVK42antN95StssZct6nbGezDPyWu1ZuyOlMZZy1nG4wvfY3vd+ZErnSPZn1ZrS2LVkf7696bkep9Suy54xa2Mtpfda37qftWw5dmuf9+jzNl6/Zc611M7h0e+rNMZSeq+37HM5e7x5zvp8X3P0PEqvXUrve6mltI9Sauf0yPMi3nNpnL0p7UukN4qE+TwBXvEORcJe8aBorTjwmpbCwlGlh7DnYdja8ex5KHeJYgZ88sQiYYwXGfFQfml/82TaWl6orc+RjGNTGndKy/eb0nbzZNpyLEuvnSfT1s+a871LkTDTnp8Re2RcN7Vjk3H9Xf1n0iOOQUltv7XvI3c6z8JR8wWeSZEQACCHIuGXlMZby57tMx8Yivdc2kcpLcen98Ge0hhLKW2/lKVj1PN+j87SQ1QjH8SSa0eR8EtK461lz/ZnPZQZadn3lnW7dR15XUNKr3nNNOee9b/3GPeu3aVzrWctPTp752vt3xZFwq/Te61tSWm/85S2WcqW9TpjPZln5LXas65GSmMs5azjsOUzW0tpH0uZ9n3Eeb41pXMk+7NqTe/5NyVr/73ZOt/aOTnyGp/SO/et+1lLaT+1lMaZctR527uflqzNZfT7Ko2xlNq5+5rsc/mIa+Poz3cpR82j9Lql9H7+a+l5f7Xjd8R50bOPlmydh8g8ioT5zn869OKeWCSci4dGa+NPqT1gOnKeJaV9TFmba22eLQWUmqs/tA1HeYciYXx9Sst6Oeph/Bi3tL8pMb9Ma8cljsOS2jwjGUrjTqkdi6sfy7t81pzvHYqE2edz7fqJr2dYe1+t180Rx2bt+o6crTSnebI+r1e18ySy5k7nWThqvsAzKRICAORQJPyS0nhred3XEQ/blJL5wFCk9yHI0hhLKW2/lKWHqnre75TY5oiU5hs569yQ86NI+CWl8dbyuq/Sa5aS+VBmpLSPpbTuu7RtKTFeHIvS10p53X/879LrXhP7aF2rtqxTPe8hUjrXetbSSLw+xjkir3Ptne+WYyqKhEvpvVZ6U9rnPKVtlrJlvY7jVBprKbXjOvJabV2Dp5TGWMpZxyF7vSrtYynT+dL73iOxzVF5fY/xb6U5LaU0xpb07ndK9mfcmtJcWlIaa56R1/iU3ms9+xj3vMcptfX36PN26/laytrxHf2+SmMspfd7YPa5nD3eWo76fGsZPY8jj+k8Pe+rdk4f+R569lVL77Uq8hpFwnwaSxVPLxJOWh6mrT2sWtpmSvZD4mHtwei1/V3heHpYl6d4hyLh6/VaW0MiI5xRBintZ8qS2vqX9f1g7XOofb+6+rG8y2fN+d6hSJj9M9FRP4PtWYMmtWOT4ajjsUVtrWs9jlvV9r92bO50noUrnwfA/SkSAgDkUCT8ktJ4a3nd11kPDPU8tNhyfHofgiyNsZTS9ktZe6iu9Pq1lMY4MmedG3J+FAm/pDTeWvassZH5tnvSuya2HqOecVvfe2n9iPmUXvuanvmsrc9LaZ3HlNJx7P0stswzM9b+8VEkXE7vmtmT0v7mKW2zlLPWk3lGXqu961ZpjKWceRxK229J7/GZv4fS19cy3+/Ryf6selIavyVHfw/duma1zHPkNT6l91zeup9Ses+vKaWx5jnrvI1xeo9nKUvzGf2+SmMspfc6yz6Xj7g2XjP6823NqHmccUwjPe+lduzOeA8x/579lpJ5POWZUSTM5+nvCkXCL2oPmEaWHjKtbZtVHJlbe/h37cHaI46nh3Xhk3csEobS6+bpebi/1VHfC+ZK+5ly9veDteNRO/5XP5Z3+aw5nyLh12prUNb+9qxBkyOu9aOOxxZnrHVztWOz9v3qTudZuPJ5ANyfIiEAQA5Fwk+J7UrjrWXPA0OR+bZ7Uhp7KS3Hp/dhqtIYSyltv5SYR2mMSOn1aymNcWTOeBBLrhFFwk/JWGN716atc33NyLW9tP2eLK2bpdfuSWkftfSeA6XPr/ccWPs+ckSs/eOjSLie0j4yUtrXPKVtlrLlOs3+fjDyWu2da2mMpWSsq/P0HIesc7Vnn5H5tqWvr2W+7dHJ/qx60rvveTLnsZbe82Ce0nivGXmNT+m91rfu5zVbP9+W/Z953k7pPa7zLM1n9PsqjbGU3u+B2edy9ni9GfH5bknmPHqOaWS+7Z6Uxl5K7dideV7E3HqP4ZQR56g8K4qE+cY/gbnT//q3/UMiIiIiIiIiIiIiu/K//Ud/4vMdRwCAe1Ek/JTYrjTeWl731fvwUe9DY6X0zrvl+PS+j9IYSyltv5S141N6/Vq2nhdZOfNBLDk3ioSf0rtWRV73dcYaGymNvZbSGEvpfU+1lPYRydzP1uPaew6UzrXeMc5eT63946NIuJ7ea6Y1pX3NU9pmKVvO/d41rXZcR16rvXMtjbGU3s838zhs/V7wmtLYa5lv2zPfSPb11ZPsz6o3pX20ZvRx6/0c52m9Hnv20Trma3qv9a37maf3vJqn5XM9+7ydp/f4RpbWqdHvqzTGUnrX0uxz+YhroyWZn++eZMyjd4yM95F9Tl/hvIg59sxjSmkskdYoEuZTJBQREREREREREZG3jyIhAHBXioSfsuWBodcxeh/eibyO0ZveB2tajk/vsSiNsZTS9ktZe6DqjIez9uQKD2LJOVEk/JS7rrG98+69fre8p6Ws7TtzP6XxW9I7h9K5dsY5sCfW/vFRJKyn5zxsTWk/85S2WUtpjLX0vqfSGPOMvFZ7v4+UxlhKxro6T+9x3Xu+7v0e2zvfM38fyP6setO7/9dkz2dK72f4mtKYpfTs5/U8a83onxlfs+czbd332efta7KO8ej3VRpjKb3rUva5nD3enhx9DS1l7zy2XJvz7bek53OM1M7pK50XpX2uZfQ6JO8dRcJ8ioQiIiIiIiIiIiLy9lEkBADuSpFw+0N4pbFKr1vLnodutsy75fj0PjhVGmMppe2XsvZQXe97731Ab57Y15TS11typQex5NgoEj5rjd2y1vSuuUup7bu0TW+OPJ5L51rptWvZcs5OiW33bG/tHx9Fwrb0nIstKe1jnt799b7v3vFLY8wz8lrtXeNLYywljltpjKXUjnPvce09FvP0zj3y+n2u99junW/veTpP9me1Jb2f72ti+6x5xTgZ8ymNXUrPvnrGnefI83HvsSuNWcoVztvXlPa7lKVjPPp9lcZYSu3n99dkn8vZ4+1Nab9LGTmf0v6WUppH6XVr2fNees/nSO2cvtJ50bu2HrEOyftGkTCfIqGIiIiIiIiIiIi8fRQJAYC7UiTc9iDe0gNfW8ba+qBLaaxaWvbV+6BOaYyllLZfSu2hutI2a9l6nF8/0/jfMbdIjNkybs95Ea8tjSH3jCJh7hrbuz5Fsq79lpTGqSXmVxqrN6Wx59ly7F5TGrc1ve9z6XPrfR9L51Itpfm+rv+l7eax9o+PImF7SvvbmtL484y+TktjLKXl2hp5rfYei9IYS8laV6f0HIcpvZ/dlC37Ko1Tet1aSmO05HW+8b8j8f5bjkH2Z7UlvXNYSrzfrfOLbbd89q+JMUrjL6Vnn71jT4n3VhpvKVv2k3Hsej67kedtvHbLeZTxWY58X5HSGEtpWT/myXj/82SPN+XMz3ees+bRs/2ULfOMlMaqpbav7M9hSu/5Hom5lva7lK3HUSSiSJhPkVBERERERERERETePoqEAMBdPblI2PtAyjxL++l9gHBK77y3PJgUadlP73sojbGU0vZLqT1k1HsMznxoadSDWHL9PLlI2Hv9zLO0n61j9sw7smWN3XPtlsbrScu+93wekb1rU+/+M8+B3s8/0nMOLH1/6Rlj7/F9ahQJ27Pl2llKafx5tvw8XBqnlJ7rKtJybY28Vkf+XN37mdbOr95jO6X3vN2yn6Xj3jtW7+cX6TnOMX7peGR/Vluz5dpcS4wXc12ab/x7vGbLZ76W3uPTs/8t50ik99i27Cf7+PW+t9h/aZyl9Hwu03s647Mc+b4ipTGWEp9vaYylZLz/ebLHmzKNe8bnO89Z8+hdD6b0zDNe2zPPeWr72fv+S4l99rx+yrRda3qOochrFAnzKRKKiIiIiIiIiIjI20eREAC4q6cVCePrWx/qmac09pStD/O0PFDT+xDNa1oequk9PqUxllLafim1h+q2HIuW9z9ly/ilcSIjHsSSe+RpRcL4+ug1tvT6lsS1VZv/nrnX1qy1bFlv5imNWUpp29bUjl0tve9xbX+l16+ld13tWbMjS5+9tX98FAn7krE+R0pjz7NlTWu5BraM27I2j7xWe495aYylZK6rkZ7j8JrYtjb+nvNv6XPcMmZtnvNsOecyxumZY2/2fM5XSO81GOl5z1vGj2w5F2ObeWLfU0qv35Mt72vUefv6/nrO9/l2tcQxLY0x+nosjbGUpTkupefcaPnMs8eLnP35Tjl7Hj3Hdp6W49x7Dr+mdix65r5lvi3bTInjO9+2ltIYIq1RJMynSCgiIiIiIiIiIiJvH0VCAOCu3q1IGA+klFJ67dbUHljqfdDlNTHfGCMetpmyd8wptQeGIiMf1Cltv5TacY6Utqul5RjEa0rbrmVtvj3nYLy2NIbcM+9WJJzW1NeUXrs1tWt/y/U5T4wfiXEi0//e8z5i29Jce1IatyU9+473WRqjloz31/u5xetL40S2nAOt72HLeVAaJ9IzVsYxfmIUCfuz5Rx/TWnc15S2qyXmtnQMts67NNZrRl6rvetuaYylZK6rkYxzY/qeGvuKTP9779il+U7ZMnbtWER6j28k3mvGWC3z25PSPu+Q3utvSs85snUf8dmXxrtKSnOuZcR5u3Sclq6deXqv9aX5jL4eS2MspeV9z5N9LmePd4XPN3KFeSzNoTUxjxgjxp+yd8wpa8cukn1eLG1Xm0d8vbTtUlrmIrIWRcJ8ioQiIiIiIiIiIiLy9lEkBADu6t2KhEekNM/X9Dx4c2RqD+pEeh9OKo2xlNL2S2l5yKv3waIpSw8txT63fnavY83TM6aHn94r71YkPCKleb7mamtsy9pay9YHQ1vWyilb18yefSyld9+1Y1rapiXxXpbW/9Lra1k7Ntb+8VEk3JbSvntSGvM1W6+pKXFNTCl9vSWt11XPPlrHnNJ7HEpjLCV7Xd1zrEdmbZ2NbD3X4v2Wxo7jtPVYvI41Jfuz2pve+VwhvdfePD2f59b97F3zRmbr+ZR93raMF8fxdZz4ty3X5HyMebLf12tKYyyltAatJftczhzvTp/vEfOIbBnviNTO6czzojZWfP31Ooj5xb+VXr+W13FEeqNImE+RUERERERERERERN4+ioQAwF0pEval9sDNlC0PvRyRlvn3zr00xlJK2y+l9SGgKzycVZtr5oNYcq8oEvaldY2N15W2PyOZ12xp/FpK46ylNMZast5f72dWOxeucA7Ujo21f3wUCbdl7/VTGvM1V7hGR/ws2Xutjvy5uvcY186vnuNwVFqP9xXmvnZ8sz+rjPTO6cz0Xnev6Tk/tu6r91o/InuPW/Z5W9pmVNbW/9HXY2mMpbR+n5qSfS5njlfaZlTWjlvp9aNS+/yuuC5Eaud01nlx9PsvzUGkJ4qE+RQJRURERERERERE5O2jSAgA3JUiYXtaHsSap+fhm6PS8hBc78M+pTGWUtp+KbWHsqb0PgiYnZbzIutBLLlfFAnb03vun33tR7Kv1971d8v+e/fRuhbX0vt5jfh+lZ3aHK3946NIuD17rp/SeKWceY32XFMjr9XeY1AaYynZ62rPcTgqPddEafujUjsvsj+rrPTO64z0XnOljLzGp5z9M8lrMo5b5nnb8xlkpDSHKaOvx9IYS4nzpjTGUrLP5azxrvL5XmUe8xw9p5bUzumM86L3Otub3mtJpBRFwnyKhCIiIiIiIiIiIvL2USQEAO5KkbAtSw/H1HK1h4ZaHoIb+cBzaful9DwIdPRDSlNaz4uMB7HknlEkbMtd19jSnPakdy1rWdNf07uP0hhbMuq9nXUOtHyPsvaPjyLhvmy9fkpjLaW0/RHpOZYjr9WRP1dnr6tbz4dR6S0F9B6PzJTmM0/2Z5WZ2NfVPvspvdfbUkZe41N6r/WR6b12lpJ13vaOsze195/1vpZSGmMpvZ9V9rmcMd5VPt+rnWfz9BznI1I7pzPOi6Pfc2kOIr1RJMynSCgiIiIiIiIiIiJvH0VCAOCuFAnrWXowpiVHP8xUS8tDcPFAVGnbpZTGWEpp+6X0PlR3xrFuOZ6RjAex5J5RJKxn7zl/9EOKU1qv/960rsF7jlvrPnrX4bX0rtE9x/foc6D12PfMa8/n+eQoEu5PaR61lMZZSu+1n5HetWvktdq63k4pjbGU7HW15ziMztY18YzzreW6zf6sRqT3XB2dzJ9BRl7jU65w/GLumedO5nnbO9bWtHx+me+rlNIYSzn7+1XWeFf5fK90ns1z1LxaUzuns86LnnH2pPcaFVmKImE+RUIRERERERERERF5+ygSAgB3pUi4nowHUkY+NNT7wGLL++kdszTGUkrbL2XLw6Mjj/U8vQ+OZT2IJfeLIuF6sh76O+raj4y+Rlvfy5Y1ckrrPkrbbk3vZ9R7bhz1oGrPcbf2j48i4f70XpuR0jhr2bKPrdlyLY28Vkf+XJ29rvYeh9731potn+E8R51vMc/aMZ2S/VmNylHHbi17P/9Ses/t0hi1jLoeWhJz3vNz4VKyz9v4es9n0ZvWzy77fb2mNMZSej+37HM5c7wrfb5XmMdres+7nvSuP7Vzuuf41Y7H6LWx9/oUWYsiYT5FQhEREREREREREXn7KBICAHelSFhOPOyS/UBK9sNMMb/eh5Fa3lPvgz6lMZZS2n4pvQ/VTYn3eLUHxzIfxJJ7RZGwnBFr7OhrP7J1XepNy/sobdeT0pjzZK9FI75fvab3+1dP4nj0zqnnfMw+3k+JImFORv7sN6V3DdiSrcdv5LU68tj2HtPa8dlyHHq2aUnWNRDjZM9tnt6fB7I/q9HpnW9G4vMa9b63nNu9GfkzyFJirr3nYk9Gnbcjrs2ez23U+5pSGmMpvZ9f9rmcPV6kZ8zWtO57nqvM4zXZ84rzM/uc7pljyzHpnV9req9NkVoUCfNdvkh4tu//yt/4cNJF/ubf+tufv3oN3/3u+jeFvX7wg7ZvEjGPmtpcW8ZoUdtPZMnatlnzqx3T+Do8wR/5xb/21Rr7q7/2dz5/9Rq++Wb9RsKe67VlrepZd1rW64z1pWU/cdxKattmzC/sXcuvfiyvPj+u4cf+xL/xYX394Z/8hc9fuY691+oWLef1VrXvGT3v6YhjUzsWGevIXmvHYUrW8cjc113Os3CH8wC4r9/4E9//8PPI7//eX/78FQAAeigSfszIB/EiGQ8Yzh/UyX5gKNI7x9IYSyltv5S9n0X2w0px3Lc+qJT9IJbcJ4qEHzN6jY1kX/uRo6/L2nvImE9trS9tsye9n8vW9Ta261lzW7L1vLX2j48iYV56ztfS9q3p/TmzJTH3Pcdu5LXa+35LYywle13dehx651FK73FtTfb5FvPccq5lf1ZHJeOzrWXrMe3J1nO7JyPWtlJiflt/LunNyPM269zacv6MfF+R0hhL6f0ss8/l7PGmnPn5znOVebwmY72Yfx6977P2XkadFz3jruWoNVCeF0XCfIqEFU8uEsYDqi0P005pecC05YHa3gdfX7XMeW0fa9vvndvEw7rwydOLhKFlzerZR/Z4r2rr15SlfdS23zO3uYy1/OrH8urz43yKhMtK+5tny75brpme4u0Rx6Y25ytc361r0d5jsna85+lR2n6eK5xn4Q7nAXBfioQAADmeWiSMB1ji4ZNI5gNBrdny4FDM+XWu2Q8MRXrnVhpjKaXtl5L1cFDvMXpN6bj3pueBqXhtaQy5Z55aJDx7jY3EfrestVOm91Aa+4iU5jQlY15ra+OIdah3Ld573lzh848xSmOXMuKYPyGKhLlpPWdL2/Zk7/U5JeabccxGXqu977M0xlLivZfGWErtWO09Dls+06zPsJaYW8/7e01sv2ee2Z/V0Yn5ZFyzU+KziPFK+xqRved2SzKPTyTmMR2nveff1hxx3vbuY8qec2j0+yqNsZTe95B9LmeP95ozPt9SrjKP18TYpf2uJeb0ek5mn9Ojz4ue8eeJ41Wbu8ieKBLmUySseFKRMB4Q7S0PTul5CLZ1/N4HVuP1LWPX5ro2Rs/7XONhXfhEkbCtEBBp1TrelvWsdiymrB2T2vz2Hs9Jxlp+92M55az5cT5FwmUt53jP/luvxx5HHJvavK9yjbce30h8tj1a17vIiLHPPs/CXc4D4J4UCQEAcly9SPiExMMw8SDN68M08b/jax6WyUkcw8h0vOfHen7M58e9NI5IT65eJHxKpmt/6fq/4rUf83id55TS67ekNHbk3b7n1Nb+yPwcKI0h18zVi4R3S1wrpevjNaVtt6a2Pkem63O6Rt9tjXq3LK25888wUtr2iExze53fPNM8nWvlvF63S8dy+tr0WsdTljI/p2rnUml7uXau8vle+TyLfU77f53TNOd3W0On9/X6nl/fu+8dclQUCfMpEla8Q5FwdLY8yFwap5QYu/bgajyg23MMauOtjbXlvZZ4WBc+UST8JLto0DLelHjtmnh/PePV5nnU+pe1ll/5WIarz49zKRKuK+2zlLgultam+Nrae5indg2+OuLYHLUmZ2g9zlOmz630Hno+tylbj3lprFLOOs/Cnc4D4H4UCQEAcigSioiMiyKhiMi4KBKKiIiIiIjI3igS5lMkrFAkXM/WB2prD6suJfY3T+k1a2l5CHZt3PhaBg/rwieKhF+0rGk95YAta2RsM0/pNWuJbWqOWv/W5t8yz7mtx2Ke0mvWEtu02jr+PKXXrCW24foUCdfV1vfMbHkvRxybu/1MunZMRmbP8b76eRbudh4A96JICACQQ5FQRGRcFAlFRMZFkVBERERERET2RpEwnyJhhSLhcvY+wFx7YDU7rQ/Arh3Pve954mFd+ESR8KPS+K/p2d+R3x9a18ej1r/stfyKx3Lu6vPjHIqEdUddO1vWtiOOzVFrcqajPrMpGcf6yudZuON5ANyHIiEAQA5FQhGRcVEkFBEZF0VCERERERER2RtFwnyKhBWKhF8n9pf1MGntodWs9Mx37XhmPEgcPKwLnygSftSyJvauQ0d8j+iZ01Hr34i1/GrH8tXV58fxFAnbjL52tq5rRxybo9bkbKM/symZ5+BVz7Nw1/MAuAdFQgCAHIqEIiLjokgoIjIuioQiIiIiIiKyN4qE+RQJKxQJvyT2E4WabLUHV/dky8O/a8dzy3glHtaFTxQJv9aypveuRS1jbk3v+z9q/Ru1ll/pWJZcfX4cS5Gw3ahrZ891c8SxOWpNHqE2970Z8d6veJ6FO58HwPUpEgIA5FAkFBEZF0VCEZFxUSQUERERERGRvVEkzKdIWPH0ImGMHSWaIx4erZV1ejLNe4u14xlfy+BhXfhEkbCstJ/X9O43Xp/5/WLr94bYpjTelKzjOXItv8qxXHL1+XEcRcI+tfW+JzH3vdfNEccm5lgaf8odrv3Mzy0y+ry72nkW3uE8AK5LkRAAIIcioYjIuCgSioiMiyKhiIiIiIiI7I0iYT5FwoonFQljnEg83Bo5y56Ha6f577F2PONrGTysC58oEpbV1ogpW/Yd26ytc7XE8djznmvvbc/Yc0et5Wcey5qrz4/xFAn7xTlfW/fXEnOO7TMccWzi/ZbGn3KnNeAqn1uLK51n4Z3OA+B6FAkBAHIoEoqIjIsioYjIuCgSioiIiIiIyN4oEuZTJKy4Q5HwXU0P2K49ZDs9RJv5IC1wnDsUCd/ZtH6ulVWm1ygRrLv6sbz6/BjjDkXCK5t+Fl27buJrkXgd1zD/HWLps7vS5+Y8A96dIiEAQA5FQhGRcVEkFBEZF0VCERERERER2RtFwnyKhBWKhADjKBICjKNICACcTZEQACCHIqGIyLgoEoqIjIsioYiIiIiIiOyNImE+RcIKRUKAcRQJAcZRJAQAzqZICACQQ5FQRGRcFAlFRMZFkVBERERERET2RpEwnyJhhSIhwDiKhADjKBICAGdTJAQAyKFIKCIyLoqEIiLjokgoIiIiIiIie6NImE+RsEKREGAcRUKAcRQJAYCzKRICAORQJBQRGRdFQhGRcVEkFBERERERkb1RJMynSFihSAgwjiIhwDiKhADA2RQJAQByKBKKiIyLIqGIyLgoEoqIiIiIiMjeKBLmUySsUCQEGEeREGAcRUIA4GyKhAAAORQJRUTGRZFQRGRcFAlFRERERERkbxQJ8ykSVigSAoyjSAgwjiIhAHA2RUIAgByKhCIi46JIKCIyLoqEIiIiIiIisjeKhPkUCSsUCQHGUSQEGEeREAA4myIhAEAORUIRkXFRJBQRGRdFQhEREREREdkbRcJ8ioQVioQA4ygSAoyjSAgAnE2REAAghyKhiMi4KBKKiIyLIqGIiIiIiIjsjSJhPkXCCkVCgHEUCQHGUSQEAM6mSAgAkEORUERkXBQJRUTGRZFQRERERERE9kaRMJ8iYYUiIcA4ioQA4ygSAgBnUyQEAMihSCgiMi6KhCIi46JIKCIiIiIiInujSJhPkbBCkRBgHEVCgHEUCQGAsykSAgDkUCQUERkXRUIRkXFRJBQREREREZG9USTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcigSioiMiyKhiMi4KBKKiIiIiIjI3igS5lMkrFAkBBhHkRBgHEVCAOBsioQAADkUCUVExkWRUERkXBQJRUREREREZG8UCfMpElYoEgKMo0gIMI4iIQBwNkVCAIAcioQiIuOiSCgiMi6KhCIiIiIiIrI3ioT5FAkrFAkBxlEkBBhHkRAAOJsiIQBADkVCEZFxUSQUERkXRUIRERERERHZG0XCfIqEFYqEAOMoEgKMo0gIAJxNkRAAIIcioYjIuCgSioiMiyKhiIiIiIiI7I0iYT5FwgpFQoBxFAkBxlEkBADOpkgIAJBDkVBEZFwUCUVExkWRUERERERERPZGkTCfImGFIiHAOIqEAOMoEgIAZ1MkBADIoUgoIjIuioQiIuOiSCgiIiIiIiJ7o0iYT5GwQpEQYBxFQoBxFAkBgLMpEgIA5FAkFBEZF0VCEZFxUSQUERERERGRvVEkzKdIWKFICDCOIiHAOIqEAMDZFAkBAHIoEoqIjIsioYjIuCgSioiIiIiIyN4oEuZTJKxQJAQYR5EQYBxFQgDgbIqEAAA5FAlFRMZFkVBEZFwUCUVERERERGRvFAnzKRJWKBICjKNICDCOIiEAcDZFQgCAHIqEIiLjokgoIjIuioQiIiIiIiKyN4qE+RQJKxQJAcZRJAQYR5EQADibIiEAQA5FQhGRcVEkFBEZF0VCERERERER2RtFwnyKhBWKhADjKBICjKNICACcTZEQACCHIqGIyLgoEoqIjIsioYiIiIiIiOyNImE+RcIKRUKAcRQJAcZRJAQAzqZICACQQ5FQRGRcFAlFRMZFkVBERERERET2RpEwnyJhhSIhwDiKhADjKBICAGdTJAQAyKFIKCIyLoqEIiLjokgoIiIiIiIie6NImE+RsEKREGAcRUKAcRQJAYCzKRICAORQJBQRGRdFQhGRcVEkFBERERERkb1RJMynSFihSAgwjiIhwDiKhADA2RQJAQByKBKKiIyLIqGIyLgoEoqIiIiIiMjeKBLmUySsUCQEGEeREGAcRUIA4GyKhAAAORQJRUTGRZFQRGRcFAlFRERERERkbxQJ8ykSVigSAoyjSAgwjiIhAHA2RUIAgByKhCIi46JIKCIyLoqEIiIiIiIisjeKhPkUCSsUCQHGUSQEGEeREAA4myIhAEAORUIRkXFRJBQRGRdFQhEREREREdkbRcJ8ioQVioQA4ygSAoyjSAgAnE2REAAghyKhiMi4KBKKiIyLIqGIiIiIiIjsjSJhPkXCCkVCgHEUCQHGUSQEAM6mSAgAkEORUERkXBQJRUTGRZFQRERERERE9kaRMJ8iYYUiIcA4ioQA4ygSAgBnUyQEAMihSCgiMi6KhCIi46JIKCIiIiIiInujSJhPkbBCkRBgHEVCgHEUCQGAsykSAgDkUCQUERkXRUIRkXFRJBQREREREZG9USTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcigSioiMiyKhiMi4KBKKiIiIiIjI3igS5lMkrFAkBBhHkRBgHEVCAOBsioQAADlKRcJ/5lf+z9/+D/7K/0VERHbmH/oj/8qH9fWHfvf3i68TEZH+/PAf/B9/WGN/+J/4xeLrRERERERERJYSv0vOf7f8z//UL33+6wlbKRJWKBICjKNICDCOIiEAcDZFQgCAHD/yMx//v+2KiIiIiIiIiIiIiIg8MT/049/7/NcTtlIkrFAkBBhHkRBgHEVCAOBsioQAADkUCUVERERERERERERERBQJMygSVigSAoyjSAgwjiIhAHA2RUIAgByKhCIiIiIiIiIiIiIiIoqEGRQJKxQJAcZRJAQYR5EQADibIiEAQA5FQhEREREREREREREREUXCDIqEFYqEAOMoEgKMo0gIAJxNkRAAIIcioYiIiIiIiIiIiIiIiCJhBkXCCkVCgHEUCQHGUSQEAM6mSAgAkEORUERERERERERERERERJEwgyJhhSIhwDiKhADjKBICAGdTJAQAyKFIKCIiIiIiIiIiIiIiokiYQZGwQpEQYBxFQoBxFAkBgLMpEgIA5FAkFBERERERERERERERUSTMoEhYoUgIMI4iIcA4ioQAwNkUCQEAcvyX/5n/xYefqyL/kX/8z3z7H/0nRERkb/6+H//eh/X13/07f674OhER6c9v+NGf/7DGxv8uvU5ERERERERkKa+/W/6m3/snP//1hK0UCSsUCQHGUSQEGEeREAA4myIhAECOP/pLf/3Dz1WRf/vf+dXPXwVgj5/4ub/0YX39zb/vT33+CgB7/cjP/PkPa+xv/+lf/vwVAAAAaPM7/u7vkvPfLeN/s48iYcUf/5/9Wx9Oush/5Y//q9/++D/3F0VEZGf+k//Un/tqjY3iS+m1IiLSl//wH/iFD+vrv+93fa/4OhEREZFR+ff86Dcffh75h//Yv/L5jhsAAD0UCQHGUSQEGEeREAAAgL0UCfMpElb82M9+/C+5iIiIiIiIiIiISH9+6x/6s5/vuAEA0EOREGAcRUKAcRQJAQAA2EuRMJ8iYYUioYiIiIiIiIiIyP4oEgIAbKNICDCOIiHAOIqEAAAA7KVImE+RsEKRUEREREREREREZH8UCQEAtlEkBBhHkRBgHEVCAAAA9lIkzKdIWPEHvvdvfjjpIr/5H/tT3/6H/sCfFhGRnfmh3/29r9bY0utERKQ//97f9T/6sL7+Pb/zm+LrREREREbl3/Vf+7kPP4/8p//p/8nnO24AAPRQJAQYR5EQYBxFQgAAAPZSJMynSFjx/V/5Gx9Ousjf/Ft/+/NXAdjjj/ziX/tqjf3VX/s7n78KwB4/9ic+/pe1f/gnf+HzVwAAjvEbf+L7H34e+f3f+8ufvwIAQA9FQoBxFAkBxlEkBAAAYC9FwnyKhBWKhADjKBICjKNICACcTZEQACCHIiHAOIqEAOMoEgIAALCXImE+RcIKRUKAcRQJAcZRJAQAzqZICACQQ5EQYBxFQoBxFAkBAADYS5EwnyJhhSIhwDiKhADjKBICAGdTJAQAyKFICDCOIiHAOIqEAAAA7KVImE+RsEKREGAcRUKAcRQJAYCzKRICAORQJAQYR5EQYBxFQgAAAPZSJMynSFihSAgwjiIhwDiKhADA2RQJAQByKBICjKNICDCOIiEAAAB7KRLmUySsUCQEGEeREGAcRUIA4GyKhAAAORQJAcZRJAQYR5EQAACAvRQJ8ykSVigSAoyjSAgwjiIhAHA2RUIAgByKhADjKBICjKNICAAAwF6KhPkUCSsUCQHGUSQEGEeREAA4myIhAEAORUKAcRQJAcZRJAQAAGAvRcJ8ioQVioQA4ygSAoyjSAgAnE2REAAghyIhwDiKhADjKBICAACwlyJhPkXCCkVCgHEUCQHGUSQEAM6mSAgAkEOREGAcRUKAcRQJAQAA2EuRMJ8iYYUiIcA4ioQA4ygSAgBnUyQEAMihSAgwjiIhwDiKhAAAAOylSJhPkbBCkRBgHEVCgHEUCQGAsykSAgDkUCQEGEeREGAcRUIAAAD2UiTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcigSAoyjSAgwjiIhAAAAeykS5lMkrFAkBBhHkRBgHEVCAOBsioQAADkUCQHGUSQEGEeREAAAgL0UCfMpElYoEgKMo0gIMI4iIQBwNkVCAIAcioQA4ygSAoyjSAgAAMBeioT5FAkrFAkBxlEkBBhHkRAAOJsiIQBADkVCgHEUCQHGUSQEAABgL0XCfIqEFYqEAOMoEgKMo0gIAJxNkRAAIIciIcA4ioQA4ygSAgAAsJciYT5FwgpFQoBxFAkBxlEkBADOpkgIAJBDkRBgHEVCgHEUCQEAANhLkTCfImGFIiHAOIqEAOMoEgIAZ1MkBADIoUgIMI4iIcA4ioQAAADspUiYT5GwQpEQYBxFQoBxFAkBgLMpEgIA5FAkBBhHkRBgHEVCAAAA9lIkzKdIWKFICDCOIiHAOIqEAMDZFAkBAHIoEgKMo0gIMI4iIQAAAHspEuZTJKxQJAQYR5EQYBxFQgDgbIqEAAA5FAkBxlEkBBhHkRAAAIC9FAnzKRJWKBICjKNICDCOIiEAcDZFQgCAHIqEAOMoEgKMo0gIAADAXoqE+RQJKxQJAcZRJAQYR5EQADibIiEAQA5FQoBxFAm5o2+++ebb73znO4uBq1AkBAAAYC9FwnzuHlUoEgKMo0gIMI4iIQBwNkVCAIAcioQA4ygSckeKhNyFIiEAAAB7KRLmc/eoQpEQYBxFQoBxFAkBgLMpEgIA5FAkBBhHkZA7UiTkLhQJAQAA2EuRMJ+7RxWKhADjKBICjKNICACcTZEQACCHIiHAOIqE3JEiIXehSAgAAMBeioT53D2qUCQEGEeREGAcRUIA4GyKhAAAORQJAcZRJOSOFAm5C0VCAAAA9lIkzOfuUYUiIcA4ioQA4ygSAgBnUyQEAMihSAgwjiIhd6RIyF0oEgIAALCXImE+d48qFAkBxlEkBBhHkRAAOJsiIQBADkVCgHGuXiT8wQ9+8OuBOUVC7kKREAAAgL0UCfO5e1ShSAgwjiIhwDiKhADA2RQJAQByKBICjHOHImEUw5QJmVMk5C4UCQEAANhLkTCfu0cVioQA4ygSAoyjSAgAnE2REAAghyIhwDh3KRJGlAmZKBJyF+9aJIz1OK7D7373u8VrMP49Eq+xdgMAAOyjSJjP3aMKRUKAcRQJuSN/mOMuFAkhx/xBnVL8ARhgmSIhAECOqxcJa787v2Z6sHp6uDoCcJY7FQkjd7ofWfv+YP3fzt8ruYt3KhLGmhY/v5auuZbEtgAAAPRTJMzn7lGFIiHAOIqE3JE/zHEXioSQo/awy50e3AE4miIhAECOdysSrmUqFwIc5W5Fwshd1L4/WO+38/dK7uIdioSZP+tG4uddf1sCAABop0iYz92jCkVCgHEUCbkjf5jjLhQJIUftD8T+2AuwTJEQACDHk4qE8/ivtgBHuGOR8C7rY+37gyLhdv5eyV3cvUgY623pGsuIn3UBAADaKBLmc/eoQpEQYBxFQu7IH+a4C0VCyKFICLCdIiEAQI6nFgmnKJoAI92xSBi5QwFFkXAcf6/kLu5aJBz98+0UZUIAAIA6RcJ87h5VKBICjKNIyB35wxx3oUgIOWp/LI6vA1CmSAgAkOPpRcKIh6yBUe5aJIxcfW2sfX9QJNzO3yu5izsWCY/42fY1/tYEAACwTJEwn7tHFYqEAOMoEnJH/jDHXSgSQo7aH4z9cRdgmSIhAEAORcJPUSYERrhzkTBy5bWxNndFwu38vZK7uFuR8Kifa0vx9yYAAIAyRcJ87h5VKBICjHP1ImHcqHWzllf+MMddKBJCjtofjf2sALBMkRAAIIci4ZcoEwLZ7l4kjFx1bazNXZFwO3+v5C7uViSM9bR0TS0lrsXS34ni3+JrPeP5ORcAAKBMkTCfu0cVioQA49yhSBg3bEs3fnkuf5jjLhQJIUftYRc/JwAsUyQEAMhx9yLhUlEktot4yBo40zsUCSNXXBu3fn+gzt8ruYs7FQlr19U8sb616vlZ18+5AAAAX1MkzOfuUYUiIcA4dykSRnpuBPPe/GGOu1AkhBy1h138jACwTJEQACDHuxYJS1of4Pb7OJDlXYqEkasVUDK/P/CRv1dyF3cpErautXvW2dYyoZ9zAQAAPlIkzOfuUcVdioSlGwutiRsVkbjRGIkbEm5KAEe4U5Ewcqe18XXur/GHue38YY67UCSEHLXvqX53AlimSAgAkONJRcIQ49UetN7zEDfA3DsVCSNXWh+zvz/whb9Xchd3KRLWrqlIxvp61H4AAADeiSJhPnePKp5QJFxL3MDwYCwwyt2KhJG78Ie5cfxhjrtQJIQcte+pfl8CWKZICACQ42lFwklprHkAMrxbkTBylRKKv1eO4++V3MVdioSl62iezHU1xirtYx7rIwAAwBeKhPncPap4epFwHg/IAtnuWCS8y//3N3+YG8cf5rgLRULIUfue6vckgGWKhAAAOZ5aJHSfGzjCOxYJI1dYI63j4/h7JXdxhyJh7XqKZKuVCe/yXAoAAMARFAnzuXtUoUj4MXGjwoOyQJY7FgmntfDq/GFuHH+Y4y4UCSFH7Xuq348AlikSAgDkeGqRMKw9ZO0BayDDuxYJI2ffuxz5/eHp/L2Su7hDkbB0Dc0zYi1tWdsBAAD4RJEwn986KxQJyzn7hjPwHu5aJIxc/QEFf5gbxx/muAtFQshR+57qdyOAZYqEAAA5nlwkdD8WGO2di4SRM+9fjvz+8HS+P3IXVy8Stqyxo6z9P8yInLl+AwAAXIkiYT53jyoUCZfjhgWw152LhJErlwn9YW4cf5jjLhQJIUfte6rfiwCWKRICAOR4cpGwNjbAXu9eJIycdQ9z5PeHp/P3Su7i7kXCketU7Tq2RgIAAHyiSJjP3aMKRcL1nHXDGXgPdy8SRq5aJvSHuXH8YY67UCSEHLXvqX4nAlimSAgAkOPJRcJQGnMKwF5PKBJGzriPOfr7w5P5eyV3cfUiYe1aGr12lvY5xRoJAADwiSJhPnePKt6hSLhUcombHVPi5kPt5shSALZ6hyJh5Iplwtrc3XTervb9Eq5CkRBy1L6nxtcBKFMkBADIoUhYHjfi93Jgr7sXCePvlKV/L+XoNXP094cn8/dK7uLqRcLaGjra2v6v+BwKAADAGRQJ87l7VPHORcIlcTO3dtNxHjd3ga3epUgYudpNXH+YG8cf5rgLRULIUfueGl8HoEyREAAghyJhedyI38uBve5eJIw1tvaaeY5cN0d/f3gyf6/kLu7wXyRcy2iKhAAAAHWKhPncPap4YpFwLm6KlMZ8jT/SAVu8U5EwcqUbuf4wN07teyNchSIh5Kh9T73a70Ixn/iZZCkAR1IkBADIoUhYHjdytd/Lgft5hyJhy+vmOWrtHP394cn8vZK7uHqR8Gzxd5vSNRzxNx0AAIBPFAnzuXtU8fQiYWi54ewGL7DFuxUJI1e5mesPc+P4wxx3oUgIOWrfU+PrV3K3+QLvTZEQACDHk4uEtbEB9nqXImGovXaeI+4Tjvz+8HT+XsldKBKuK12/U6yRAAAAnygS5nP3qEKR8JOWG84Avd6xSBi5wg1df5gbxx/muAtFQshR+54aX7+Su80XeG+KhAAAORQJy+NGAPZ6pyJhqL1+ntH3Ckd+f3g6f6/kLhQJ15Wu3ynWSAAAgE8UCfO5e1ShSPhF7Ubk6JvMwPt51yJh5Ow10R/mxvGHOe5CkRBy1L6nXu33oLvNF3hvioQAADmeXCRcux/rPjeQ4d2KhKG2zTwjjfz+8HRr3x8jcBWKhMtqa2R8HQAAAEXCEdw9qlAk/Kg0/hQ3eYFe71wkjJx5Y9cf5sbxhznuQpEQctztD7l3my/w3hQJAQByPLlIWBpvit9xgQzvWCQMte2mZD5P8mrk94en8/dK7kKRcFnp2p3Hz7oAAACfKBLmc/eoQpHwIzcjgUzvXiSMnHVz1x/mxvG9kLtQJIQcte+pV/tD7t3mC7w3RUIAgBxPLRLWxj1CzCHmH39vjZTmEf8er7nK79xr873aXOEK3rVIGGrbTom1YYQ9c98i9heZ1sHSPqf1MXvfLaa5RZbmNn29ZmmMKXAVioRlLeszAAAAnygS5vNbZ4Ui4Ue1GxkAPZ5QJIzEOEerzb3lD1CU+cMcd6FICDlq31PP+D6/5m7zBd6bIiEAQI4nFgnP/P02xl4qoLQk3u/e+a3tv/S3361z9rcCeO8iYaj9XWtK5nMlk71zb9X6HkuJ9z16Lawdh6Wszav2nuEqFAnLaj+3jV6XAAAA7kSRMJ+7RxWKhB/VbnDG1wFa3b1I2PNH+aPXx9rc3Xjezh/muAtFQshxt9+B7jZf4L0pEgIA5HhakbA23oiyy6Tnvn8te+7Dr83j9f1nzNn9Ap7s3YuEoXWdeF1f9sr+/vCqNn5P4r1nr4Ux3qg12t8ruQtFwq+1rF3Z6xEAAMCdKRLmc/eoQpHwa6V9THEjA+hx9yJh/IGm5SbvlCPXyJa5s40/zHEXioSQo/Y99cjv7y3uNl/gvSkSAgDkeEqRMMap3X+NjPjdtvYe9mTLfNeKJ/O//WYUVKaMOK5wB08oEobW9SLz+ZKsuZdkrn/zZL3/lu9nPXmdV218uApFwo9afubcszYCAAC8I0XCfO4eVSgSfq20jyn+wAT0eIciYcvr5jlqnWydO/38YY67UCSEHLXvqUd9b291t/kC702REAAgx7sWCWO7SO2e6zwjfq8dVUaZp3fea3Oa/vY7Yt4jji9c3VOKhKF13ZjWmb0y5z6pjZmRve9/xPocmc/L3yu5C0XCj1rWBz+PAQAAfKRImM/dowpFwq+V9jHFzQygx7sUCUPPH62OWCt75k4ff5jjLhQJIUfte+oR39d73G2+wHtTJAQAyHH3ImFWRvxOO6rsUUrP/NfmFV+r3afemuy/K8MdPKlIGFrXvYz1IHvuR32/iWx9/63Hd2umefl7JXehSPhFy/rQuy4CAAA8gSJhPnePKhQJv1baxxSAHu9UJAw9f7yK146U/Yc5vvCHOe5CkRBy1L6njv6e3utu8wXemyIhAEAORcIx97R75x1/c415zNNbGGn9vbx33Hli23lKr1mLewc8zdOKhKF1bYjX7ZE99941bb5eR3rXxd73H/sojVPLNK/W+U3vp/S1KXAVioSftP7cCQAAwNcUCfP5DbRCkfAjNyOBTO9WJAytN4AjI434oyKf+F7IXSgSQo7a99T4+pXcbb7Ae1MkBADIoUj4JfF3z6zfbUvjl9JyPz3m1FL+aP27bctY87Qcl57PCZ7kiUXC0LrOtK5bJZlzr/19bkrLehhax2sZK/SssS1zjPmtfUa1zw+uQpGwfX1oXW8AAACeRpEwn7tHFYqEH9VuVAL0eMciYWi9ETxy3dw6d+pqf1iEq1AkhBy176lX+8Pu3eYLvDdFQgCAHIqEX2fv/fW1v3lO2bKPlmJKy+/mLfOb0vu7fsvY7h/wJE8tEobWtWbrPrLmXhtnSu/aFa+vHYPW7wWlbUvpnWPo+Z4wBa7i6UXCUesXAADAkygS5nP3qEKR8KPS+FP23KAuiZskkRh36cZo/Hske99brc33zLle/Vje8bMmx7sWCUNt2ylxXo+wZ+5bXP06nuYWWZrb9PWapTGmwFW8Y5GwZ51puZ63ylxT+FrL53zk8Y35lOYxJb6+ZO29xL9N7yXTnvkCZFMkBADIoUi4nC2/57bMN35n36pl/JrSvYRStv6eXxv/qPsucAVPLhKGketN1txb5rh1PQx718T4emm7eWIfe7R+TlPgKp5eJGy5dveuDwAAAO9OkTCfu0cVioRf1G5+Zmm5ybqUeK+tN5uX1G5ml25Ab5lzzHXPzewWZx/LmqvPj/HeuUgYWs/xrHV6bu/cW139Oq4dh6Wszav2nuEq3qVIGNfxVdaamEuMV9rPWkauKbV1Lr6eYe19Z30f2/o5jzy+Ycsx3vJe4jhu+bxq8+vJ2rEE2EKREAAghyLhenp/n67d38m411G7N1Cbc22OkT3zrH1m7hHwJE8vEoaWNSfSu95mzL02RqR3XiWlcafU1tvSNvNkfF8JrZ9TBK7iyUXClms2a30AAAB4Z4qE+dw9qlAk/KR2c/aIffQk5rP1ZnFtHvNxM+Y84qbQVY7lkqvPj+O8e5EwxDla2vY12WtBxtzXXP06jvFaj/1aSvOKY1d67RS4irsXCTPXmciedfbKa0rtOJX2ucXa+99zbEPWZz3i+IaeY5zxXnqPZ9bxi+z9+QDglSIhAECOuxcJ4/fNeM1S4uuR+J146z2YGKdVaft5spTGnlL7HbzlOOxVGnMeeApFwk9KY5fSs95mzD1eU9p2Stb7r+1nSW27SKbW75NwFU8tErasDREAAADqFAnz+Y20QpGw7cHUvTdnt/5RsJYt7732fqcb4y3HpTV7P6O5Kx3LkqvPj2M9oUgYWs/7zPM4a+4lV7+OW2/Kt+Z1XrXx4SruWiSM9WvUOjP9HNfj6mtKbb3f8p5L1j6TPet39medfXxD6zGuva4nPcc0c79xvAAyKRICAOR4hyJhr9im975Bi9q9gszfjVvvKZTU3nvPvYMltWMBT6FI+EnPfca19WsuY+6l7ebJtLb2Lq27pdfO03qsepT28xq4iicWCVvX0xHrAwAAwDtSJMzn7lHF04uEtT8gRfaM33rzZE9651ebU3x9xLz3HMdwxWM5d/X5cY6nFAlDnJ+lMV6TdR5nzn1yh+u49Tj3Zj6v2vdGuIo7FglHrzMxfo87rCm1Y9b7npesHYv5++lxh+MbWo5x7TVb0npcM/e95ecDgDWKhAAAOZ5YJJyr/X4/peV36dr9iGylfUyJ47akNs+M3+Ez7pvAO1Ak/KLnXuPaGjbZO/cj33tYWxdL32Nq82u9x9ur9j0iAlfxtCJh6zrasoYCAADwiSJhPnePKp5aJKz94WierTc3Wm+eZKTnGNTmNXLe73YsJ1efH+d5UpEwtPxRJ5JxHmfP/Q7Xcevx3ZppXrXvkXAVdysSjr6GI7GWtbrLmlJbn3ve85q14zG9lx53Ob6h5RiX/j0jLZ9f5v57fz4AqFEkBADI8fQi4aTlfkLtd+nSNlNG/F68dm9ibX+195qh9rm13JeAd6BI+FFtf/PU1om9c19bQyMjlPYz5VVtfiPX0dL+5oGreFqRsHQ9viZ73QYAAHh3ioT53D2qePciYdy4jMRNinhdyx/g5tlzc2PLvubpnW+8tkXtZnYt07x65xdpneOr3v0cdSwnV58f53lakTC0nst7z+Psufdcg5H5NRyJ7XvG6H3/sY/SOLVM82qd3/R+Sl+bAldxpyJhy/WXkVgbW9xpTamt963vuWbt/cTXerQcm9dMx3Se0uvmyVqza8e4lt55zxOvr9k7v3nieAFkUiQEAMihSPhF7Xfrtd+lj5znZO3exNpca+8zQ+14xNfhCRQJv1bb5zxra8XeuR+xFr4q7WfK63s9Y36TM/cNPZ5UJKxdl5F4DQAAAH0UCfO5e1TxDkXCUdlzc2Ptj2bzxD7WbjxPWsdrGat2M7uUlpvzLTeMIr03+q98LMPV58e5nlgkDK3rQbxuq8y5X/06rr3XeVrmGPNb+4xqnx9cxV2KhK1rwpR4/dJ1XLt+W9aVu60ptfm2vOcWtffQqufzXvusJ6OPb+g5J6a0zL02tykx1pot81tKbV8AvRQJAQByKBJ+VNrHPEtiHqXXzxO/r2entJ8pS7Zu16P2udXubcC7UCQs67nvuLRe7J17aZt5XtfbjJT2M+V1vqXXTImxRqp9T4OreEqRsLZ+REavCwAAAO9KkTCfu0cVioTl7Lm50XrDeelm85J4fe3GTMu8W+cX6T0OLWP3jPkux/Ks+XG+pxYJQ+0cnrJ1H1lzv8N1XNq2lN45htbPaR64ijsUCVvXmEjvNVz6I3rLGK/bLOUqa0rtGG6ZZ8na3FvX69pcp8R4vfOO149as1vnHWk9FpOWsbPH7D22AHsoEgIA5FAk/Kh032eepf3VtjsjS9buc/TeK1jiHgJ8oki4rLbveUprxt65l7Y5M6/zLb1mysjPJdS+p8FVPKFI2LpWltZJAAAA6hQJ87l7VKFI+HX23vBsecB3z82T2vi1+bfe4Nn6R7qW8Vtd/VhefX6c78lFwtByjUS2XCdZc7/6dRxfL203T+xjj9bPaQpcxR2KhKVr6DWZ13BtvbrjmlJb7/es0XNr8249JqVtX3O14xtqx3jK1rm3jN/jqHMCoIUiIQBADkXCr5X2M2Xpd/Te+wZHZOn39LW5br0H8co9BPhEkXBdbf9TSmvTnrm37vfIzN9jbX7x9ZFq+4erePciYetaNXpNAAAAeGeKhPncPapQJPySjD9KtdxAybh5Uhp3Su19HHGTJ+ZQGnNKi6sfy6vPj2t4epEw1NaDKb3XS8bc73Adl7aZJ2sdaP2cInAVVy8SxjpUuobmybqGp/Vsbc1qWfOuuKbU5p2xToe1Obccl7se39Ay98ieY12bc4+jzgmAFoqEAAA5FAm/tuV36Z57Bkdl6ff0tbnG1zK4hwCfKBLW1eYw5XV92jP31n0emfn7q80vvj5aab9T4CrevUhYuv5ec8Q6DQAA8M4UCfO5e1ShSPjpZmjWTc7aA+NZN09q+1nTckN67zwzjkPGGC1q+1ly9flxDYqEn5TGLqVnLc6Y+9Wv49p2kUxrD27MA1dx5SJhy89bWQ9ETWKfa+voXdeU2rFce8891ubb8lnV3m/25511fEPL+br3e2Lt/OsZ/6hzAqCFIiEAQA5Fwq/Vfpcuab1fcGSWfk9fm2vWfRT3EOATRcI2tXlMma9Re+beur8j0/Pe4uujlfY7Ba7inYuELT9bZv3cBgAA8GSKhPncPap4YpEwbmLEDdsRN5xL+5sn09oNm7UbNS03pDNu+pbGndJy7EvbzZNpy7EsvXaeTFs/a86nSPhJy7ozpXX9yZh7abt5Mo1YZzLW6lel/bwGruLKRcJYg0rXz5Qzvn+X5jHPVdeU2nqfNe89P2/V5hi58pp91PxL407p+ZmjNt8RxxpgiSIhAEAORcKv1e4vlX7/Xbu/cVaWfk/fcy+mlXsI8IkiYbvWdXRap/bMvbbtGZmvv1dYQ0v7nQJX8a5Fwpb1MOtnNgAAgKdTJMzn7lHFOxQJ48ZE3ICdUnrNPKNuZBx9g3vtva69x5Yb0hlK406pHYurH8u7fNacT5Hwi5a1Z0q8tmbv3K9+HdfmN+raj3FL+5sHruLKRcLStTNPyzqX6c5rSm3uWcdyba6147O2xkeyv6dMstbs2jGOZCiNO6XnGB11TgC0UCQEAMihSPi12v2G0u+/e+5vHO2IubqHAJ8oEvZpue8aidftmfsd1qjSvKaM/lxqxweu4h2LhLXrb8oV1ikAAIB3oEiYz92jincpEs613NA44w96I5T2M2VJ7fhkHZs9fwC8+rG8y2fN+RQJP2q94Ryp3XTeO/e7rzO147NHaX/zwFVctUh49Nra4s5rSu14Zs19z8+ua9tGrr5mH3XO7jnGc0edEwAtFAkBAHIoEn5ty/2c2jZXknWfYI17CPCJImG/2j3fKbXX1eZe2mbKGe/7VWleU0bPr3ZewFW8W5Gwdu1N8XMUAABAHkXCfO4eVbxjkTDU/lAWyb6pUbtJPEJpP1OW3l/tpk/WDd+141H6zOaufizv8llzPkXCr9X2Oc/aub137taZZWfuG3pctUhY+zl0bW0b5c5rSm29zzqea/OMr60pbTOltu1eGZ/t3u+prfYc47mjzgmAFoqEAAA5FAm/Vvudv/T7b+2+1JVk3SdY4x4CfKJIuE1tHW5Jbe6lbaac9b7njlirl9zpexrP9k5Fwtp6PMXPUAAAALkUCfO5e1TxrkXC0HJjN1Np/HliPtkp7WfK0o3lo27Er80vvramtM0882OQldJ+prwek9Jr5imNvzel/Uy5wh8RKFMkLGu9AR1Zugm9d+6lbeYpXYd7U9rPlJ51JsYaKeZS2u8UuIqrFglL1808ZyjNY8rV15Taer/0faLX2jq9doz2fj/aK2PNPuo9bD3Gr446JwBaKBICAORQJPxaaT/zlNzpd+as+wRr3EOATxQJt1tbq1pSm/sRa+Eetfc/Uml/88BVvFORsGXNu8LaBAAA8G4UCfO5e1TxzkXC2g3nSOYNjtL4Z2bppvRRfzRbu8FUO+6lbc7M67EsvebMnPnHE9YpEi5rWaOnlNalvXMvbXNmetaZ0dd8jF/a7xS4ijsWCUdfv0tKc5ly9TWltt6XvkdssfVn16PmtyRjzb76MX519jEHmFMkBADIoUj4UW1/S79HHz3PPbLuE6xxDwE+USTcZ229qqU299rYZ6vdfx712dTOiQhcxbsUCVvWuqyf0QAAAPhIkTCfu0cV71wkDLUbm5GMPxK13Mg8OkvHpTbXjOMR1m4yrX1mVz+Wd/qsOZ8i4brW66l0ju+Z+93Xmfj6SLX9w1VcsUh49vVbcvc15aj5xzpcGj+y9rNW7feN0fYe33D1Y/zqqPkCtFAkBADIoUj4UWkf86ztr/T6eUaI+UR6fifPuk+wxj0E+ESRcL+1NWsttbnH10vbTRn13uP9tI5dmteUrPX6Ve24ROAq3qFI2HLNRQAAABhDkTCf32Ir3r1IGFpu6u79Q1Ht5vYZWTouR/3RbO24r31mVz+Wd/qsOZ8iYV3rNfV6nu+Z+93Xmfj6aKX9ToGrUCRsc/c15aj5xzpcGj+y9rNW7Y+rRyjtd0qLqx/jV0fNF6CFIiEAQA5Fwi9aHuRe+923tn3mXCdbxs+6T7DGPQT4RJEwx9q6tZSWuZe2myfb/PtEvKfaWlh739lrae18mAJXcfciYes1l32tAwAA8IUiYT53jyqeUCRsuemx9w9SrTdWjszSe6rNNevmz9oN5bXjffVjeafPmvMpErZpva56rsW1ud99nYmvj1ba7xS4CkXCNndfU46af6zDpfEjaz9rzR+6KOUIpf1OaXH1Y/zqqPkCtFAkBADIoUj4SW0/U9a0jJH5u/PS7/u1fWTdJ1hTOxaZxwGuTJEwz9raVUrL3GtjZq2JYelYr+2jdg88kqn1GMNV3LlIWFt/p/iZCQAAYCxFwnzuHlU8oUgYWm5+7LkB3Xpz5cgsHZfaXLNuAK3d4F37zK5+LO/0WXM+RcJ2a2vGPNP5vmfud19n4uujlfY7Ba5CkbDN3deUo+a/9n1o7Wet2kMURyjtd0qLqx/jV0fNF6CFIiEAQA5FwvZ75C2/99bG6vk9fE3LnJesbZs1P/cQ4BNFwlwta9+UlrnX3n8kY71q2c/SfEuvnefI7ytT4CruXCQsXVuvudoaDAAA8I4UCfO5e1TxlCJhaLnpuPUGbO2ma8aN3SxHzXXteK99Zlc/llefH9eiSNin9Y9D8bo9c7/DdVya15TRn0vt+MBV3LFIeNYf20pzmXL1NeWoNXvrz65x/ErbTBktY82++jF+ddR8AVooEgIA5HhqkTDGrd1bmKf19+fafCM9v4uXrP2eP2VtH2vb753bxD0E+ESRMF9pnqW0zr1lTd2zZrV8X4gs7WPvmt+iZR/zwFXctUh4xHUNAABAG0XCfO4eVTypSBhK279mq9JYU650c7t2k3jPDei5tZtOtc+stM2UKxzL0rymXPEPGZxHkbBfyw3rSO11tbmXtpny9HWmdl7AVVyxSBhK182Us9aX0lymXH1NufrPrkfNb8ne4xuufoxfnX3MAeYUCQEAcjylSBjjROL1pXFq6fmdt3YPfUrv79Hx+paxa7/rZ90nWBNzLY0/pfe9w10pEuarzXlKz/eH0vav2bI+tn7Pqa2JpW1eE/PrXVvj9WvfE5YCV3HHImHrNQcAAMAxFAnz+a224mlFwpYbsFtuvobSWFOudHO7dgx6b+wuWbvxVDvGpW2mXOFYluY15Yp/yOA8ioTbtN64Xktt7qVtplzhOt6zhu4V77+03ylwFVctEp55/S6585riZ9d1GWv2HY7x3FHzBWihSAgAkOPuRcIjsuX33dI4pcTv5bXx4x7E2u/2r6mNl3WfYE3tc9tyTOGOFAnHqM070jP32r3eeWrjxtx6xmtZd1ve75QYb+8ca99z4CruViTsuZZHJ+tnPgAAgLtTJMzn7lHF04qEoeWGae2mZsnajcwr3fyo3RSKr2fYczyufiyvPj+uQ5Fwu7XrrCW1ud95nYmMVNrfPHAVdywSRs5w5zXlqO9VpbGn1L4vlLaZMvp7Smmf87S4w+8Hc0fNF6CFIiEAQA5FwvVs/V1367zj9/R5Sq9ZS8t818aNr2Wovf+txxXuRpFwnOy5b1lzp7V6Suk1a4ltWm0df57Sa14Tr4tjV/raFLiKOxUJa2vW0YlrHQAAAEXCEdw9qnhikTC03KDs/eNRbcyrqN0Y6n3fS9aOR+0zu/qxvMtnzfkUCfepXWtrqc396tdx7Y9joz6blj8ewFVctUh41vW75u5rSmm7KVlzL409pbaPs76nZB3f2jjx9Qxrxym+1uqo+QK0UCQEAMihSLicvb/nHj331vlm3SdYU3vve48t3IUi4Vhr898y99r95sxsWW9Hz2+aUxy70tenwFXcpUhYW2vPSNbPfAAAAHenSJjP3aOKpxYJW2+Q9KjdyBx1gzvef8/YtfceX8+wdgO59pld/VhefX5chyLhfmtryVpqc7/DdVya15TaOrpV7bhE4CquWiQMpWtnnjOU5jHl6mtKabt59tr7PWHv9ltlHd87/H4wd9R8AVooEgIA5FAk/DqZ9xOOmn/P7+RZ9wnWuIcAnygSjrf0HrbOfW2NzMqetXbU/OZzqt3/hqu4S5HwiHWlN3vWIQAAgHeiSJjP3aOKpxYJQ8uDt71jl8aYJ9v8PcRcW/7gddQfzdZuQrUc19J282TrPZbzuZSSbctnzfkUCXOsrSdLaZl7abt5svVex7X3nb0O1M6HKXAVVy4S1q7f+PrR7rym1Oa+13x9LqXl2JS2mydb5vGtjZV1bqx9jj3XxFHzBWihSAgAkEOR8EviPsWI321Hvoct97qy7hOscQ8BPlEkPEbpfeyZ+9o6uTcZ61/2/F7X/tp9e7iKOxQJR64ne5L1Mx8AAMDdKRLmc/eo4slFwtBys6TnJmptvMybIEs31Gv7qN2Iz7hpHNaORctxuPqxvPr8uAZFwjy1a+41LXO/+nVc+wNZJFPrMYaruHKRsLa+RuI1mWK8tTHvvKbU5r73WNbm2qI2xtp6v0Xm8a2dr1nn6tqce47PUfMFaKFICACQ4+lFwrj30XJPO0PLPaLWxO/zW+eddZ9gjXsI8Iki4XFe38veucd4a+tlb2I+mWtf1vxKc6p9v4KruHqR8HVdulKyfuYDAAC4O0XCfO4eVTy9SNh6w6T1ZmrLeK1jrWnZz9JN6dq2GfMLazeMWz6zqx/Lq8+Pa1AkzNXzh6iWud/hOi69dp6sm+s9xxau4spFwtByXWWsMWFaZ2rjve7/NVddU1rW0a1i/S2NN6X1mLTM8a7Ht3ZetVqbd8+xOWq+AC0UCQEAcjypSBi/A8f9iMiZv8PW7omsZXoPe2TdJ1jjHgJ8okh4rPn7yZp7jLm2btYy+ntOjL9lfmvziq+VtpkCV3HlImFtfT07WT/zAQAA3J0iYT53jyqeXiQMLTdOevbRcoN0z03a1hs9S/uobb9nbnNrx6H1eF79WF59fpxPkTBfaZ6ltM79HdaZ1jV1Scs+5oGruHqRMJSuodfsvYbnf0yvrVe1P7xHrrqmlLadZ8u8W9bonu+FLe/9ise3dhxq51Wrtbn3HJej5gvQQpEQACDH1YuE7yx+j477H2v3jeL39uk1wP1cvUj4jqZ7mCPWzWk9XrvfOr3mjHul09yW5nfWvGCUq/8XCQEAALg+RcJ8nnavUCT8ZO0m65S4odliuilcy5Z5xxxKY71m7cZrbX5ZN23Xjmnre7/7sZxy1vw4nyJhvtbr7l3W7FDa5jUxv971IF4f25XGWwtcxR2KhK3rQFyLvWtuaf1qWQdarvsrriktxzL236p0/Erp0TpmzzwnI49vbd7x9Qxr88/87LLmC9BCkRAAIIciIcA4ioTniHuevff9gftRJAQAAGAvRcJ8nnavUCT8ojT2a1ofSm19aDxSu3kc++wZr3Y8jnrwNutB4Ssfy3D1+XEuRcIxavOO9Mz96tdxy/udEuPtnWOMUfr3KXAVdygShto1Nc90DS9dx7XrN75ec+c1pbR9KTGfpWMRX2v9TGrvvaT38659Zkcc39o5UZtjq7W5xtdaHTVfgBaKhAAAORQJAcZRJDyPe5Xw/hQJAQAA2EuRMJ+n3SsUCb+oPZA6pVXtod5SYpt5Sq9ZS2xTc9SDt2vzb5nn3NZjMU/pNWuJbVptHX+e0mvWEttwfYqE42TPfet1OE/pNWuJbVptHX+e0mteE69bK6xE4CruUiQMrdfg3rT+HLdlPtNaMqX0mtfE6zLXlNpYmYm5b9V6fOaZjuuU0mteE6/LOL53+/3gqPkCtFAkBADIoUgIMI4iIcA4ioQAAADspUiYz9PuFYqEH7U8nNyzv7WHZbPTOq+7PSg8ueKxnLv6/DiHIuFYa/PfMvenrzPTnDJKKXCEOxUJwxFrTM/PcXddU444jpG9PxPf6fjWfh7Yeywma8dkej8tjpovQAtFQgCAHIqEAOMoEgKMo0gIAADAXoqE+TztXqFI+LWWh357Hk5tGW9vrvjg7dr73vqZXe1Yvrr6/DieIuF4S+9h69yfus7M56RIyF3crUgYRq8xvT/H3XVNudpxXHKX41v7eeCI4zF/TzVHzReghSIhAEAORUKAcRQJAcZRJAQAAGAvRcJ8nnavUCT8Wu3B1Ck9D6iOeog40vug7FEP3mY9KPzqSsey5Orz41iKhMcovY89c3/aOvO6JisSchd3LBKGWAdGrTNb1pjaNd+bo9aUKx3DNXdYs0vfR+fJOiZrx+L1fa05ar4ALRQJAQByKBICjKNICDCOIiEAAAB7KRLm87R7hSJhWcsD1b37jQda1x6e7U3McctDskc9eJv1oHDJVY7lkqvPj+MoEh7n9b3snfvVr+Os+ZXmFHMtvXYKXMVdi4ST2rW2JVvXmaw1pbT2jlxTMo9hvP/MdXou5nnlNTvGLW07Jeu4rB2D+Fqro+YL0EKREAAghyIhwDiKhADjKBICAACwlyJhPk+7VygSLmt52HfLvuPB1paxlxIPC+95OPaoB2/X3mPWZ3b2say5+vwYT5HwWPP3kzX3q1/HMf6W+a3NK75W2mYKXMXdi4STrdfxlMx15o5rSuy3to+1xPuN7Y+w5/guyTi+cQxL207JOr/W3nt8rdVR8wVooUgIAJBDkRBgHEVCgHEUCQEAANhLkTCfp90r7lIkfFfx4G/tgeLpNR6IXXf1Y3n1+THG1YuE72gqF8S1lO3q1/E0t6X5nTUvGOVdioRztes4El874nq+45oS85nmXZpzZHpP8bozZR3feF1p+ykAjKVICACQQ5EQYBxFQoBxFAkBAADYS5EwnycnKxQJAcZRJDzHFQoiwHjvWCSEXoqEAOdSJAQAyKFICDCOIiHAOIqEAAAA7KVImM+TkxWKhADjKBKex395D96fIiEoEgKcTZEQACCHIiHAOIqEAOMoEgIAALCXImE+T05WKBICjKNICDCOIiGsFwnjv9ALwFiKhAAAORQJAcZRJAQYR5EQAACAvRQJ8ykSVigSAoyjSAgwjiIhVxL/Jdwo7i1lFEVCgHMpEgIA5FAkBBhHkRBgHEVCAAAA9lIkzKdIWKFICDCOIiHAOIqEXEmU9kplvsjIQt/afqNkCMBYioQAADkUCQHGUSQEGEeREAAAgL0UCfMpElYoEgKMo0gIMI4iIVey9l8GjIxS2tcURUKA8RQJAQByKBICjKNICDCOIiEAAAB7KRLmUySsUCQEGEeREGAcRUKu5Iwi4Q9+8IPivqbE1wEYS5EQACCHIiHAOIqEAOMoEgIAALCXImE+RcIKRUKAcRQJAcZRJORKaqW+Ef91wNo+ARhPkRAAIIciIcA4ioQA4ygSAgAAsJciYT5PT1YoEgKMo0gIMI4iIVdTKvNN+e53v/v5VXlizNK+pgAwniIhAEAORUKAcRQJAcZRJAQAAGAvRcJ8np6sUCQEGEeREGAcRUKuplbsy/yvEp7xX0AE4GuKhAAAORQJAcZRJAQYR5EQAACAvRQJ8ykSVigSAoyjSAgwjiIhVxPlvVKpb54oAGaolRaz9gPAOkVCAIAcioQA4ygSAoyjSAgAAMBeioT5FAkrFAkBxlEkBBhHkZArqhX8IntLfi37AOAYioQAADkUCQHGUSQEGEeREAAAgL0UCfN5grJCkRBgHEVCgHEUCbmilv8qYSRe1ysKiEcUFQFop0gIAJBDkRBgHEVCgHEUCQEAANhLkTCfImGFIiHAOIqEAOMoEnJVLWW/SLyupVAYxcDWgmKMCcBxFAkBAHIoEgKMo0gIMI4iIQAAAHspEuZTJKxQJAQYR5EQYBxFQq6sVPKrJUqArym9bi3+a4QAx1IkBADIoUgIMI4iIcA4ioQAAADspUiYT5GwQpEQYBxFQoBxFAm5sij0lYp+I6NECHA8RUIAgByKhADjKBICjKNICAAAwF6KhPkUCSsUCQHGUSQEGEeRkKs7skyoRAhwDkVCAIAcioQA4ygSAoyjSAgAAMBeioT5FAkrFAkBxlEkBBhHkZC7+O53v1ss/2VFiRDgPIqEAAA5FAkBxlEkBBhHkRAAAIC9FAnzKRJWKBICjKNICDCOIiF38s0336QXCmM8JUKAcykSAgDkUCQEGEeREGAcRUIAAAD2UiTMp0hYoUgIMI4iIcA4ioTcUUahMMZQIAS4BkVCAIAcioQA4ygSAoyjSAgAAMBeioT5FAkrFAkBxlEkBBhHkZC7i0LgVCxcKhfGv0+vUx4EuB5FQgCAHIqEAOMoEgKMo0gIAADAXoqE+RQJKxQJAcZRJAQYR5EQADibIiEAQA5FQoBxFAkBxlEkBAAAYC9FwnyKhBWKhADjKBICjKNICACcTZEQACCHIiHAOIqEAOMoEgIAALCXImE+RcIKRUKAcRQJAcZRJAQAzqZICACQQ5EQYBxFQoBxFAkBAADYS5EwnyJhhSIhwDiKhADjKBICAGdTJAQAyKFICDCOIiHAOIqEAAAA7KVImE+RsEKREGAcRUKAcRQJAYCzKRICAORQJAQYR5EQYBxFQgAAAPZSJMynSFihSAgwjiIhwDiKhADA2RQJAQByKBICjKNICDCOIiEAAAB7KRLmUySsUCQEGEeREGAcRUIA4GyKhAAAORQJAcZRJAQYR5EQAACAvRQJ8ykSVigSAoyjSAgwjiIhAHA2RUIAgByKhADjKBICjKNICAAAwF6KhPkUCSsUCQHGUSQEGEeREAA4myIhAEAORUKAcRQJAcZRJAQAAGAvRcJ8ioQVioQA4ygSAoyjSAgAnE2REAAghyIhwDiKhADjKBICAACwlyJhPkXCCkVCgHEUCQHGUSQEAM6mSAgAkEOREGAcRUKAcRQJAQAA2EuRMJ8iYYUiIcA4ioQA4ygSAgBnUyQEAMihSAgwjiIhwDiKhAAAAOylSJhPkbBCkRBgHEVCgHEUCQGAsykSAgDkUCQEGEeREGAcRUIAAAD2UiTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcigSAoyjSAgwjiIhAAAAeykS5lMkrFAkBBhHkRBgHEVCAOBsioQAADkUCQHGUSQEGEeREAAAgL0UCfMpElYoEgKMo0gIMI4iIQBwNkVCAIAcioQA4ygSAoyjSAgAAMBeioT5FAkrFAkBxlEkBBhHkRAAOJsiIQBADkVCgHEUCQHGUSQEAABgL0XCfIqEFYqEAOMoEgKMo0gIAJxNkRAAIIciIcA4ioQA4ygSAgAAsJciYT5FwgpFQoBxFAkBxlEkBADOpkgIAJCjVCT8m3/r//Xt//3/+f8WEZGd+Z3/7F/4sL7+B/7Rf6H4OhER6c9v+6l/+cMa+5/7qV8qvk5ERERERERkKb/tD//Sh98tFQn3UySsUCQEGEeREGAcRUIA4GyKhAAAOX7kZz7+f9sVERERERERERERERF5Yn7ox7/3+a8nbKVIWKFICDCOIiHAOIqEAMDZFAkBAHIoEoqIiIiIiIiIiIiIiCgSZlAkrFAkBBhHkRBgHEVCAOBsioQAADkUCUVERERERERERERERBQJMygSVigSAoyjSAgwjiIhAHA2RUIAgByKhCIiIiIiIiIiIiIiIoqEGRQJKxQJAcZRJAQYR5EQADibIiEAQI7/7v/0f/Ph56rIf/9//oNv/7l/7X8nIiI785/5b/9LH9bXH/rd/3zxdSIi0p/f8o//mQ9rbPy9svQ6ERERERERkaX8lr/7u+T8d8t/8L/5i5//esJWioQVioQA4ygSAoyjSAgAnE2REAAgxx/9pb/+4eeqyL/97/zq568CsMdP/Nxf+rC+/ubf96c+fwWAvX7kZ/78hzX2t//0L3/+CgAAALT5HX/3d8n575bxv9lHkbBCkRBgHEVCgHEUCQGAsykSAgDkUCQEGEeREGAcRUIAAAD2UiTMp0hYoUgIMI4iIcA4ioQAwNkUCQEAcigSAoyjSAgwjiIhAAAAeykS5lMkrPipP/dX/+7J9nMf8p/9w//Sr9/oEBGRffkP/mN/+qs19nf8dPm1IiLSl9/0e/+FD+vrb/jRny++TkRERGRU/p7f+c2Hn0d++0//y5/vuAEA0EOREGAcRUKAceIe4XyNVSQEAACglyJhPkXCih/72Y//JRcRERERERERERHpz2/9Q3/28x03AAB6KBICjKNICDCOIiEAAAB7KRLmUySsUCQUERERERERERHZH0VCAIBtFAkBxlEkBBhHkRAAAIC9FAnzKRJWKBKKiIiIiIiIiIjsjyIhAMA2ioQA4ygSAoyjSAgAAMBeioT5FAkr/sz/6v/w7Q/9+Pc+JE48ERHZn//4P/kvWmNFRAblh3/yFz6sr7/pJ/5k8XUiIiIio/L3/57vf/h55Hf97F/8fMcNAIAeioQA4ygSAoyjSAgAAMBe8fzJ/HfL+N/so0gIAAAAAAAAcFGKhADjKBICjKNICAAAwF6KhPkUCQEAAAAAAAAuSpEQYBxFQoBxFAkBAADYS5EwnyIhAAAAAAAAwEUpEgKMo0gIMI4iIQAAAHspEuZTJAQAAAAAAAC4KEVCgHEUCQHGUSQEAABgL0XCfIqEAAAAAAAAABelSAgwjiIhwDiKhAAAAOylSJhPkRAAAAAAAADgohQJAcZRJAQYR5EQAACAvRQJ8ykSAgAAAAAAAFyUIiHAOIqEAOMoEgIAALCXImE+RUIAAAAAAACAi1IkBBhHkRBgHEVCAAAA9lIkzKdICAAAAAAAAHBRioQA4ygSAoyjSAgAAMBeioT5FAkBAAAAAAAALkqREGAcRUKAcRQJAQAA2EuRMJ8iIQAAAAAAAMBFKRICjKNICDCOIiEAAAB7KRLmUyQEAAAAAAAAuChFQoBxFAkBxlEkBAAAYC9FwnyKhAAAAAAAAAAXpUgIMI4iIcA4ioQAAADspUiYT5EQAAAAAAAA4KIUCQHGUSQEGEeREAAAgL0UCfMpEgIAAAAAAABclCIhwDiKhADjKBICAACwlyJhPkVCAAAAAAAAgItSJAQYR5EQYBxFQgAAAPZSJMynSAgAAAAAAABwUYqEAOMoEgKMo0gIAADAXoqE+RQJAQAAAAAAAC5KkRBgHEVCgHEUCQEAANhLkTCfIiEAAAAAAADARSkSAoyjSAgwjiIhAAAAeykS5lMkBAAAAAAAALgoRUKAcRQJAcZRJAQAAGAvRcJ8ioQAAAAAAAAAF6VICDCOIiHAOIqEAAAA7KVImE+REAAAAAAAAOCiFAkBxlEkBBhHkRAAAIC9FAnzKRICAAAAAAAAXJQiIcA4ioQA4ygSAgAAsJciYT5FQgAAAAAAAICLUiQEGEeREGAcRUIAAAD2UiTMp0gIAAAAAAAAcFGKhADjKBJyR99888233/nOdxYDV6FICAAAwF6KhPncPQIAAAAAAAC4KEVCgHEUCbkjRULuQpEQAACAvRQJ87l7BAAAAAAAAHBRioQA4ygSckeKhNyFIiEAAAB7KRLmc/cIAAAAAAAA4KIUCQHGUSTkjhQJuQtFQgAAAPZSJMzn7hEAAAAAAADARSkSAoyjSMgdKRJyF4qEAAAA7KVImM/dIwAAAAAAAICLUiQEGEeRkDtSJOQuFAkBAADYS5Ewn7tHAAAAAAAAABelSAgwztWLhD/4wQ9+PTCnSMhdKBICAACwlyJhPnePAAAAAAAAAC5KkRBgnDsUCaMYpkzInCIhd6FICAAAwF6KhPncPQIAAAAAAAC4KEVCgHHuUiSMKBMyUSTkLt61SBjrcVyH3/3ud4vXYPx7JF5j7QYAANhHkTCfu0cAAAAAAAAAF3WHImGt0LCW6UHr6WFrD1wDR7pTkTByp/Xxde6vifWebWrfd+Eq3qlIGGta/LxauuZaEtsCAADQT5Ewn7tHAAAAAAAAABf17kXCtUzlQoBR7lYkjNyFIuE4ioTcxTsUCWtrWW/i59sYEwAAgDaKhPncPQIAAAAAAAC4qCcXCefxX3EBRrhjkfAu66Ei4TiKhNzF3YuEsd6WrrGM+NkWAACgjSJhPnePAAAAAAAAAC5KkfBjFE+ATHcsEkbuUEBRJBxHkZC7uGuRsLZ+ZUWZEAAAoE6RMJ+7RwAAAAAAAAAXpUj4dTx0DWS5a5EwcvW1UJFwHEVC7uKORcKjSoTzxD4BAAAoUyTM5+4RAAAAAAAAwEUpEpajTAhkuHORMHLltVCRcBxFQu7ibkXCM0qEU5QJAQAAyhQJ87l7BAAAAAAAAHBRioTLUSYE9rp7kTBy1bVQkXAcRULu4m5FwlhPS9fUUuJaLBUA49/iaz3j+bkWAACgTJEwn7tHAAAAAAAAABf1DkXCpf/CSvz79KB178PWU2I7gK3eoUgYuWIBpTZ36/d2te+7cBV3KhLWrqt5ln62Len5GVeZEAAA4GuKhPncPQIAAAAAAAC4qHcuEi7peeA6ArDVuxQJI1croCgSjlP7vgtXcZciYetau2edbf3ZtvfnZgAAgHenSJjP3SMAAAAAAACAi3pikXAS27U8dH218gxwH+9UJIxcaT2szV2RcDtFQu7iLkXC2jUVyVhfj9oPAADAO1EkzOfuEQAAAAAAAMBFPblIOGkpEwJs8W5FwshVSiiKhOMoEnIXdykSlq6jeTLX1Zafa62PAAAAXygS5nP3CAAAAOD/394d40jznHUAPgAJ18AH4AIEzkm4AAGEkBLjCAmJ0E7IEIQEiACJCOQMyREiI+AcxqV16+sd13RVT701/XbN80i/5L/T3TU127W77fr5AwAASEqR8Etr07UN18ArViwSlmRYExUJ52n93IUs7lAkbN1PJdFav9dmKYQDAABkoEgYz9MjAAAAAAAAgKQUCX+onXuLDdfAK1YtEpZErb2vUiScR5GQu7hDkbB2D+0zYy3tWdsBAAD4okgYz1+dAAAAAAAAAEkpEv6gOAFEW7lIWDKjANOrNXZFwtf5echdZC8SXlnoa/2rhFeu3wAAAJkoEsbz9AgAAAAAAAAgKUXC72rn36KUApy1epGw5KoySmvs1uzXKRJyF3cvEs5cp1r3sTUSAADgiyJhPE+PAAAAAAAAAJJSJPzu6F9vseEaOOsTioQlV5QJFQnnaf3chSyyFwnf+TtsTe2aW6yRAAAAXxQJ43l6BAAAAAAAAJCUIuF3R0XC8jWAM+5eJDxaEx/z7jKhIuE8ioTcRfYiYWsNnc3vtQAAAG2KhPE8PQIAAAAAAABISpHwu6Nr2XANnHX3ImFZE1uv2eedZUJFwnkUCbmLO/yLhEeZTZEQAACgTZEwnqdHAAAAAAAAAEkpEn53dC0broGzVigS9rxun3eVCRUJ52n93IUsshcJr6ZICAAA0KZIGM/TIwAAAAAAAICkFAm/UyQEIq1SJCyylQkVCedRJOQuFAmP1e7fLdZIAACAL4qE8Tw9AgAAAAAAAEhKkfC7o2vZcA2ctVKRsMhUJlQknKf1cxeyUCQ8Vrt/t1gjAQAAvigSxvP0CAAAAAAAACApRcLvauffYsM1cNZqRcLiTJlwJkXCeVo/dyELRcLnWmtk5O/PAAAAd6ZIGM/TIwAAAAAAAICkFAl/sOEaiLZikbBoHbflpz/96W+PiPfq2GlTJOQuFAmfq927+/i9FgAA4IsiYTxPjwAAAAAAAACSUiT84d3FiTLuknLdUrapXbP895IshZij8V451uxzecfPmhirFgmL1rFbyvf1DCNjf0X2+3gbW8mzsW1fb3l2ji2QhSJhXc/6DAAAwBdFwnj+6gQAAAAAAABISpHwh9q5t/QUL3q13s9RIgoqrc3ltfl8ZcxlrFGfzTNXz2VL9vEx38pFwqL3e7x8P0cbHXuv7Pdxax6e5WhcrfcMWSgS1pW1p3bvbpm9LgEAANyJImE8T48AAAAAAAAAklIk/NLacB1xjVfLHrWU8b46ptY49ueNGPMVBaIzGZnLZ7KPj/dZvUhYtNbPLdFrQcTYj2S/j8v5euf+KLVxKRJyF4qEv6tn7YpejwAAAO5MkTCep0cAAAAAAAAASSkS9pVgRkWUPWp5pZjT2mC+zWfPRvTevDLOZzLNZU328fFen1AkLHq/7yO/j6PGXpP9Pm79XDybx3EpEnIXioTf9fzuNrI2AgAArEiRMJ6nRwAAAAAAAABJfXKRsBzXUxZ59fxFz4bu0ZwtprTGVL4+Y9yjBZqMc7mXfXxc41OKhEXPeloS9X0cOfbNHe7j3nk+m/24FAm5C0XC73rWh7LOAQAA8IMiYTxPjwAAAAAAAACS+sQiYXl9bxFjpPDxjkLKljPjbI1r5rjPflabrHO5yT4+rvNJRcLiHWvrJnrsd7iPe+f31WzjUiTkLhQJf+hZH86uiwAAAJ9AkTCep0cAAAAAAAAASa1cJCz/fUs5xysFjBFnr1fGuE85/sw5ymt7jJZltnGdHV9J7xgfnb3Ou+Zyk318XOfTioRF7/fy6Pdx9NjP3IMl+3u4pBx/5hxn33+5Ru08rWzj6h3f9n5qX9sCWSgSfun93Q4AAIDfpUgYz1+gAAAAAAAAAEmtUCSclbIp+1W9Yy6ljp7r9J6v51y9m833Kddv6SmolPScay/zXBbZx8e1PrFIWPSuB+V1r4oce/b7uPVe9+kZYxnf0WfU+vwgC0XC/vWhd70BAAD4NIqE8Tw9AgAAAAAAAEhKkbCekc3WszZ0l9e3yh3l6y294yvpOd9ez7nPnHOVubxqfFzvU4uERet7eMur14ga+x3u49qxtZwdY9H7Oe0DWXx6kXDW+gUAAPBJFAnjeXoEAAAAAAAAkJQi4feUQsXoZuueUsbINVrnb5Vnejed9xZcHvWcv1f2ucw+Pq73yUXCouceKXnlPokae/b7uHy9dtw+5Rojej+nLZDFpxcJe+7d0fUBAABgdYqE8Tw9AgAAAAAAAEhKkfBHRooim1axpSTiOrXzbmltGO8ZY8nM4kyP7HOZfXzk8OlFwqK1Hmw5e79EjP0O93HtmH2i1oHez6kEsvjkImHPPRu1PgAAAKxMkTCep0cAAAAAAAAASSkSxhRlNq2xRl2rdZ0jPcWZ0XFGzEPEOXq0rvNM9vGRgyLhl9q5azlT2osYe/b7uHVcSaTeMiFk8alFwp61oQQAAIA2RcJ4/iIFAAAAAAAASOoTi4TlfCUR/8rUo9r19ol0VPg4+hdoeoqEEXNTO++WMv8tteP2ifTKXNZeu0+kVz9rrqdI+KVn3dnSu/5EjL123D6RZqwzEWv1o9p1HgNZfGKRsHc9nbE+AAAArEiRMJ6nRwAAAAAAAABJrVAkLF/fclTU2DJrY3VEqeWMo3k5Kpf1bECPUDvvltZcZJ/Lu3zWXE+R8IeetWdLeW3L6Niz38et8c2698t5a9fbB7L4tCJh7zras4YCAADwRZEwnqdHAAAAAAAAAEmtUCR83Cx9VQmiNc4ZatfZ8sy7yjNHn0OrAJN9Lu/yWXM9RcLvekswJa0izOjY777OtOZnRO16+0AWn1YkrN2Pj4letwEAAFanSBjP0yMAAAAAAACApFYsEha11+0z419yahUYZ6hdZ8uzkslo+abXSJEw+1ze5bPmeoqEv6t1zX2OvrdHx26dee7Ka8MZn1QkbN2XJeU1AAAAnKNIGM/TIwAAAAAAAICkVi0S9hRVogsytWvsUzZ3R6d2nS3P3t9o+abX0fjK147UjtlnPwdRqV1ny+Oc1F6zT+38o6ldZ0v09zJxFAnretboLbU1vhgde+2YfWr34Whq19lyZp0p55qpjKV23S2QxacUCVvrR8nsdQEAAGBVioTxPD0CAAAAAAAASGrVImHRs+n62bGvqJ3/yjwr0bTKN1FzcjT/rc3utWOuzJmCzxV59llzPUXC51rX3qe2Lo2OvXbMlTmzzsy+58v5a9fdAll8QpGwd62srZMAAAC0KRLG8/QIAAAAAAAAIKmVi4RF7fX7RP3rLb2bvN+ZZ++tNdaojeivFgmzz+WdPmuup0h4rPd+qn2Pj4z97utM+fpMretDFqsXCXvXqtlrAgAAwMoUCeN5egQAAAAAAACQ1OpFwp4N2BElrN6N3u/Ms/fVGmvUZvRy/dr5S47mPPtc3umz5nqKhG2999Tj9/nI2O++zpSvz1a77hbIYvUiYe3+e8w71mkAAICVKRLG8/QIAAAAAAAAIKnVi4RFKWfUjttntJSRvZSy966CytG8PxtbkX0u7/RZcz1Fwj6999WZe1GRcEztulsgi5WLhGVNqN1/+/j5DwAAME6RMJ6nRwAAAAAAAABJfUKRsOjZjD0ieyll710FlaM5P9r4nn0u7/RZcz1Fwn5Ha8Y+2/f7yNjvvs6Ur89Wu+4WyGLVImHPeuhnPwAAQAxFwnieHgEAAAAAAAAk9SlFwp7SyMiG7Aylj17vGuvRJvijuc4+l9nHRy6KhOf0lGdKyutGxn6H+7g2ri2zP5fW/EAWKxYJW/fflgzrFAAAwAoUCeN5egQAAAAAAACQ1KcUCYvWeUpGyhm1822ZXfo4o7VBPWpj+qtFwqJ2zJYMc1kb15ZMnzXXUyQ870yZsPbft7TGXjtmy6evM63vC8hitSJh697bEvW7GgAAAIqEM3h6BAAAAAAAAJDUJxUJi56Cyqubs2vn2pKhlLJpbVKP2pyuSAiKhK/qLRMepTX22jFbMtzHI2voqPL+a9fdAlmsVCRsrcdbon5PAwAA4IsiYTxPjwAAAAAAAACS+rQiYVE7x2NecWXp44zWRvWoDeoj85F9LrOPjzwUCV93dJ/1pDX2O68zJTPVrrcPZLFSkbBnzcuwNgEAAKxGkTCep0cAAAAAAAAASX1ikbBVnCl5ZaP2laWPM+5eJCy52l0+a66nSDimda8dZaRIWHK11s++WZ9Nz89IyGKVImHPWldeAwAAQDxFwnieHgEAAAAAAAAk9YlFwqJnw/bZksZVpY/yXs6c+w5FwuxzmX185KFIOO5oLTlKa+x3uI9r49rSWkdf1ZqXEshihSJhzz1XAgAAwByKhPH8FQsAAAAAAACQ1KcWCYvauR5z9ty1c+wTbT83pVTSM95WcejV+Xx0VP7pKcDUjtsn2tm53I+llmivfNZcT5EwxtF68iw9Y68dt0+0s/dx631HrwOt74ctkMXdi4S991z0vQ4AAMAPioTxPD0CAAAAAAAASOqTi4Q9m7dLieOMVunj7PmOPBt/6xqt9x21Wf1oLnrmIftcZh8fOSgSxmndc4/pGXv2+7j1868kUu8cQxZ3LhK21t8t5XUAAADMo0gYz9MjAAAAAAAAgKQ+uUhY9JQmzhRJejaFR2wI77nOsxJN69iI8RVHc9szp9nnMvv4yEGRMFZv0a2kZ+x3uI9rr93nzM+oI2fmFrK4c5Gwdm89xs93AACA+RQJ43l6BAAAAAAAAJDUpxcJi57yxJlrRJ/vUU8hpeTZNVrHj4xt72geeosv2ecy+/i4niJhvNo4a+kd+wrrTO+a+kzPNfaBLO5aJHzHfQ0AAEAfRcJ4nh4BAAAAAAAAJKVI2F/y6NV7vlc2iLfmYsvRnLTGNzqfm6NN8r3v/e5zueWq8XE9RcJ4vfdd79jvcB/XjnlMGd/Z9aC8vhxXO99RIIs7Fgl77zkAAADeQ5Ewnr9qAQAAAAAAAJJSJPzSU/Y4UyLpLY+UtMou5f2dOV9rnOV8teO2RMxncbRRfpW5LLKPj2spEs7RGnfJmbFnv4973u+Wcr7RMZZz1P77FsjibkXCM/fy7PgdAgAA4IsiYTxPjwAAAAAAAACSUiT8oVWcKGmVM/Z6zveYcsw+tdccpRzT0trE/o757Bnn3qtzsU/tNUcpx/R69fz71F5zlHIM+SkSzhM99lfvw31qrzlKOabXq+ffp/aax5TXtX7uQhZ3KhK21qx3p9zrAAAAKBLO4OkRAAAAAAAAQFKKhN/Vzv+YM9frLW5EpHdDeGsje9R8Hr33VzavZ5zLvezj4xqKhHMdjf+VsX/6OrONSZGQu7hLkbC11l4Rv0sAAAB8USSM5+kRAAAAAAAAQFKKhN/1bPQ+u/F6dvGj5MyYWu8xaj6P3verm9ezzeWj7OPj/RQJ53v2Hl4d+6euM/sxKRJyF3cpEr5jXTmbkXUIAABgJYqE8Tw9AgAAAAAAAEhKkfB39Wz2Prv5euYG8rPvv1UciprPo/c8snk901zWZB8f76VI+B619zEy9k9bZx7XZEVC7uIORcKZ68lIHu97AACAT6VIGM/TIwAAAAAAAICkFAnratd5zNnrltdHbiYv8/LKey/H1M63JWo+j97r6Ob1LHP5TPbx8T6KhO/z+F5Gx579Po4aX21MZay1126BLLIXCR/XpUwZ/V0MAABgFYqE8Tw9AgAAAAAAAEhKkbCud+P3K9cux4yUP0bLKK33NnLuvaP3GLV5/eq5bMk+PuZTJHyv/fuJGnv2+7ic/5XxHY2rfK12zBbIInORsLW+Xp2o38UAAADuTpEwnqdHAAAAAAAAAEndoUi4slLWaJVAttfMLKKsIPtcZh8fc2QvEq5oK++Ueyla9vt4G9uz8V01Lpgl+79ICAAAQH6KhPEUCQEAAAAAAACSUiQEmEeR8BqlSFdKc8DaFAkBAAAYpUgYT5EQAAAAAAAAIClFQoB5FAmv41/eg/UpEgIAADBKkTCeIiEAAAAAAABAUoqEAPMoEgLMo0gIAADAKEXCeIqEAAAAAAAAAEkpEgLMo0gIMI8iIQAAAKMUCeMpEgIAAAAAAAAkpUgIMI8iIcA8ioQAAACMUiSMp0gIAAAAAAAAkJQiIcA8ioQA8ygSAgAAMEqRMJ4iIQAAAAAAAEBSioQA8ygSAsyjSAgAAMAoRcJ4ioQAAAAAAAAASSkSAsyjSAgwjyIhAAAAoxQJ4ykSAgAAAAAAACSlSAgwjyIhwDyKhAAAAIxSJIynSAgAAAAAAACQlCIhwDyKhADzKBICAAAwSpEwniIhAAAAAAAAQFKKhADzKBICzKNICAAAwChFwniKhAAAAAAAAABJKRICzKNICDCPIiEAAACjFAnjKRICAAAAAAAAJKVICDCPIiHAPIqEAAAAjFIkjKdICAAAAAAAAJCUIiHAPIqEAPMoEgIAADBKkTCeIiEAAAAAAABAUoqEAPMoEgLMo0gIAADAKEXCeIqEAAAAAAAAAEkpEgLMo0gIMI8iIQAAAKMUCeMpEgIAAAAAAAAkpUgIMI8iIcA8ioQAAACMUiSMp0gIAAAAAAAAkJQiIcA8ioQA8ygSAgAAMEqRMJ4iIQAAAAAAAEBSioQA8ygSAsyjSAgAAMAoRcJ4ioQAAAAAAAAASSkSAsyjSAgwjyIhAAAAoxQJ4ykSAgAAAAAAACSlSAgwjyIhwDyKhAAAAIxSJIynSAgAAAAAAACQlCIhwDyKhADzKBICAAAwSpEwniIhAAAAAAAAQFKKhADzKBICzKNICAAAwChFwniKhAAAAAAAAABJKRICzKNICDCPIiEAAACjFAnjKRICAAAAAAAAJKVICDCPIiHAPIqEAAAAjFIkjKdICAAAAAAAAJCUIiHAPIqEAPMoEgIAADBKkTCeIiEAAAAAAABAUoqEAPMoEgLMo0gIAADAKEXCeIqEAAAAAAAAAEkpEgLMo0gIMI8iIQAAAKMUCeMpEgIAAAAAAAAkpUgIMI8iIcA8ioQAAACMUiSMp0gIAAAAAAAAkJQiIcA8ioQA8ygSAgAAMEqRMJ4iIQAAAAAAAEBSioQA8ygSAsyjSAgAAMAoRcJ4ioQAAAAAAAAASSkSAsyjSAgwjyIhAAAAoxQJ4ykSAgAAAAAAACSlSAgwjyIhwDyKhAAAAIxSJIynSAgAAAAAAACQlCIhwDyKhADzKBICAAAwSpEwniIhAAAAAAAAQFKKhADzKBICzKNICAAAwChFwniKhAAAAAAAAABJKRICzKNICDCPIiEAAACjFAnjKRICAAAAAAAAJKVICDCPIiHAPIqEAAAAjFIkjKdICAAAAAAAAJCUIiHAPIqEAPMoEgIAADBKkTCeIiEAAAAAAABAUoqEAPMoEgLMo0gIAADAKEXCeIqEAAAAAAAAAEkpEgLMo0gIMI8iIQAAAKMUCeMpEgIAAAAAAAAkpUgIMI8iIcA8ioQAAACMUiSMp0gIAAAAAAAAkJQiIcA8ioQA8ygSAgAAMEqRMJ4iIQAAAAAAAEBSioQA8ygSAsyjSAgAAMAoRcJ4ioQAAAAAAAAASSkSAsyjSAgwjyIhAAAAoxQJ4ykSAgAAAAAAACSlSAgwjyIhwDyKhAAAAIxSJIynSAgAAAAAAACQlCIhwDyKhADzKBICAAAwSpEwniIhAAAAAAAAQFKKhADzKBICzKNICAAAwChFwniKhAAAAAAAAABJKRICzKNICDCPIiEAAACjFAnjKRICAAAAAAAAJFUrEv77r/7317/87/8TEZHB/NFf/cO39fX3/+Rvq68TEZHz+cmf/+LbGvsHf/bz6utEREREREREnuUnv/lbcv+3pSLhOEVCAAAAAAAAgKT+8C++/7/tioiIiIiIiIiIiIiIfGJ+74//5rf/6wmvUiQEAAAAAAAASEqRUERERERERERERERERJEwgiIhAAAAAAAAQFKKhCIiIiIiIiIiIiIiIoqEERQJAQAAAAAAAJJSJBQREREREREREREREVEkjKBICAAAAAAAAJDYn/7dv3zL3//br0REJCA//9f/+ra+/uUv/q36OhEROZ+f/dN/fltj//of/6P6OhEREREREZFn+dlv/pbc/235z7/8n9/+Lye8SpEQAAAAAAAAAAAAAAAAABamSAgAAAAAAAAAAAAAAAAAC1MkBAAAAAAAAAAAAAAAAICFKRICAAAAAAAAAAAAAAAAwMIUCQEAAAAAAAAAAAAAAABgYYqEAAAAAAAAAAAAAAAAALAwRUIAAAAAAAAAAAAAAAAAWJgiIQAAAAAAAAAAAAAAAAAsTJEQAAAAAAAAAAAAAAAAABamSAgAAAAAAAAAAAAAAAAAC1MkBAAAAAAAAAAAAAAAAICFKRICAAAAAAAAAAAAAAAAwMIUCQEAAAAAAAAAAAAAAABgYYqEAAAAAAAAAAAAAAAAALAwRUIAAAAAAAAAAAAAAAAAWJgiIQAAAAAAAAAAAAAAAAAsTJEQAAAAAAAAAAAAAAAAABamSAgAAAAAAAAAAAAAAAAAC1MkBAAAAAAAAAAAAAAAAICFKRICAAAAAAAAAAAAAAAAwMIUCQEAAAAAAAAAAAAAAABgYYqEAAAAAAAAAAAAAAAAALAwRUIAAAAAAAAAAAAAAAAAWJgiIQAAAAAAAAAAAAAAAAAsTJEQAAAAAAAAAAAAAAAAABamSAgAAAAAAAAAAAAAAAAAC1MkBAAAAAAAAAAAAAAAAICFKRICAAAAAAAAAAAAAAAAwMIUCQEAAAAAAAAAAAAAAABgYYqEAAAAAAAAAAAAAAAAALAwRUIAAAAAAAAAAAAAAAAAWJgiIQAAAAAAAAAAAAAAAAAsTJEQAAAAAAAAAAAAAAAAABamSAgAAAAAAAAAAAAAAAAAC1MkBAAAAAAAAAAAAAAAAICFKRICAAAAAAAAAAAAAAAAwMIUCQEAAAAAAAAAAAAAAABgYYqEAAAAAAAAAAAAAAAAALAwRUIAAAAAAAAAAAAAAAAAWNavf/3/XX664TUBpG4AAAAASUVORK5CYII=\" alt=\"A table of 8 dismissals, giving batter name, bowler name, and type of dismissal. One entry is crossed out, because the dismissal is \u0026quot;run out\u0026quot;. This table is aggregated into a square matrix of batters (rows) vs bowlers (columns). Each entry in the matrix is the number of times each batter-bowler pair appears in the original table. The maximum value in the matrix is highlighted, one from the row \u0026quot;Ben\u0026quot; and the other from the row \u0026quot;Renee\u0026quot;, both from the column \u0026quot;Ned\u0026quot;. This matrix is then transformed to the resulting table of batter-bowler combinations (Ben-Ned and Renee-Ned), both with NumberOfDismissals equal to 2.\" data-image-state=\"image-loaded\" width=\"901\" height=\"419\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 490.4px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 245.2px; transform-origin: 404px 245.2px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 248px 8.5px; tab-size: 4; transform-origin: 248px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003ebt = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 240px 8.5px; tab-size: 4; transform-origin: 240px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003ebw = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 312px 8.5px; tab-size: 4; transform-origin: 312px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003ew = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"run out\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 288px 8.5px; tab-size: 4; transform-origin: 288px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 96px 8.5px; transform-origin: 96px 8.5px; \"\u003ewickets = table(bt,bw,w,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 60px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 60px 8.5px; \"\u003e'VariableNames'\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e,[\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"Batter\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"Bowler\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 44px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 44px 8.5px; \"\u003e\"Dismissal\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e])\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 36px 8.5px; tab-size: 4; transform-origin: 36px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewickets =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  8\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e3 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003e    Batter     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e  \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 48px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 48px 8.5px; \"\u003e____________\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e       \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e       \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e   \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"run out\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e   \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003epairs = whosyourbunny(wickets)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 28px 8.5px; tab-size: 4; transform-origin: 28px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003epairs =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  2\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e3 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003e    Batter     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 72px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 72px 8.5px; \"\u003eNumberOfDismissals\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 24px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 24px 8.5px; \"\u003e______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 72px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 72px 8.5px; \"\u003e__________________\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 92px 8.5px; transform-origin: 92px 8.5px; \"\u003e             2         \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 92px 8.5px; transform-origin: 92px 8.5px; \"\u003e             2         \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function toppairs = whosyourbunny(wickets)\r\ntoppairs = max(wickets.Dismissal);\r\nend","test_suite":"%% Bowlers from Afghanistan\r\nbt = [\"KT Kasuza\";\"TK Musakanda\";\"PS Masvaure\";\"W Madhevere\";\"Sikandar Raza\";\"RP Burl\";\"RW Chakabva\";\"DT Tiripano\";\"SC Williams\";\"VM Nyauchi\";\"KT Kasuza\";\"PS Masvaure\";\"SC Williams\";\"W Madhevere\";\"TK Musakanda\";\"RP Burl\";\"RW Chakabva\";\"DT Tiripano\";\"B Muzarabani\";\"Sikandar Raza\";\"PS Masvaure\";\"KT Kasuza\";\"TK Musakanda\";\"W Madhevere\";\"Sikandar Raza\";\"RP Burl\";\"RW Chakabva\";\"DT Tiripano\";\"B Muzarabani\";\"VM Nyauchi\"];\r\nbw = [\"Yamin Ahmadzai\";\"Amir Hamza\";\"Amir Hamza\";\"Amir Hamza\";\"Amir Hamza\";\"Ibrahim Zadran\";\"Zahir Khan\";\"Zahir Khan\";\"Amir Hamza\";\"Amir Hamza\";\"Rashid Khan\";\"Amir Hamza\";\"Sayed Shirzad\";\"Sayed Shirzad\";\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\";\"Rashid Khan\";\"Javed Ahmadi\";\"Rashid Khan\";\"Rashid Khan\";\"Sayed Shirzad\";\"Rashid Khan\";\"Rashid Khan\";\"Rashid Khan\";\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\"];\r\nw = [\"bowled\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught and bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"lbw\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"KT Kasuza\";\"PS Masvaure\";\"RW Chakabva\";\"Sikandar Raza\";\"TK Musakanda\";\"W Madhevere\"]) )\r\nassert( isequal(pairs.Bowler,[\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\";\"Rashid Khan\";\"Rashid Khan\";\"Sayed Shirzad\"]) )\r\nassert( all(pairs.NumberOfDismissals == 2) )\r\n%% Bowlers from Australia\r\nbt = [\"RG Sharma\";\"Shubman Gill\";\"AM Rahane\";\"GH Vihari\";\"RR Pant\";\"CA Pujara\";\"R Ashwin\";\"Navdeep Saini\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Shubman Gill\";\"RG Sharma\";\"AM Rahane\";\"RR Pant\";\"CA Pujara\";\"Shubman Gill\";\"RG Sharma\";\"CA Pujara\";\"AM Rahane\";\"MA Agarwal\";\"RR Pant\";\"SN Thakur\";\"Navdeep Saini\";\"Washington Sundar\";\"Mohammed Siraj\";\"RG Sharma\";\"Shubman Gill\";\"AM Rahane\";\"CA Pujara\";\"MA Agarwal\";\"Washington Sundar\";\"SN Thakur\";\"RJ Burns\";\"DJ Malan\";\"JE Root\";\"BA Stokes\";\"H Hameed\";\"JC Buttler\";\"OJ Pope\";\"OE Robinson\";\"MA Wood\";\"CR Woakes\";\"RJ Burns\";\"H Hameed\";\"DJ Malan\";\"JE Root\";\"OJ Pope\";\"BA Stokes\";\"JC Buttler\";\"OE Robinson\";\"MA Wood\";\"CR Woakes\";\"RJ Burns\";\"H Hameed\";\"JE Root\";\"DJ Malan\";\"OJ Pope\";\"JC Buttler\";\"CR Woakes\";\"OE Robinson\";\"BA Stokes\";\"SCJ Broad\";\"H Hameed\";\"DJ Malan\";\"RJ Burns\";\"JE Root\";\"OJ Pope\";\"BA Stokes\";\"CR Woakes\";\"OE Robinson\";\"JC Buttler\";\"JM Anderson\";\"H Hameed\";\"Z Crawley\";\"DJ Malan\";\"JE Root\";\"BA Stokes\";\"JC Buttler\";\"MA Wood\";\"JM Bairstow\";\"MJ Leach\";\"OE Robinson\";\"Z Crawley\";\"DJ Malan\";\"H Hameed\";\"MJ Leach\";\"BA Stokes\";\"JM Bairstow\";\"JE Root\";\"MA Wood\";\"OE Robinson\";\"JM Anderson\";\"H Hameed\";\"Z Crawley\";\"JE Root\";\"DJ Malan\";\"BA Stokes\";\"JC Buttler\";\"MA Wood\";\"MJ Leach\";\"JM Bairstow\";\"SCJ Broad\";\"H Hameed\";\"DJ Malan\";\"Z Crawley\";\"JE Root\";\"BA Stokes\";\"JC Buttler\";\"MA Wood\";\"JM Bairstow\";\"MJ Leach\";\"RJ Burns\";\"Z Crawley\";\"DJ Malan\";\"JE Root\";\"BA Stokes\";\"OJ Pope\";\"SW Billings\";\"CR Woakes\";\"SCJ Broad\";\"MA Wood\";\"RJ Burns\";\"DJ Malan\";\"Z Crawley\";\"BA Stokes\";\"JE Root\";\"SW Billings\";\"OJ Pope\";\"CR Woakes\";\"MA Wood\";\"OE Robinson\";\"Abdullah Shafique\";\"Imam-ul-Haq\";\"Babar Azam\";\"Azhar Ali\";\"Abdullah Shafique\";\"Imam-ul-Haq\";\"Azhar Ali\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Faheem Ashraf\";\"Sajid Khan\";\"Hasan Ali\";\"Babar Azam\";\"Shaheen Shah Afridi\";\"Imam-ul-Haq\";\"Azhar Ali\";\"Abdullah Shafique\";\"Fawad Alam\";\"Babar Azam\";\"Faheem Ashraf\";\"Sajid Khan\";\"Imam-ul-Haq\";\"Abdullah Shafique\";\"Azhar Ali\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Sajid Khan\";\"Nauman Ali\";\"Hasan Ali\";\"Babar Azam\";\"Naseem Shah\";\"Abdullah Shafique\";\"Azhar Ali\";\"Imam-ul-Haq\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Babar Azam\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Naseem Shah\"];\r\nbw = [\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"PJ Cummins\";\"C Green\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"JR Hazlewood\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"MG Neser\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"JA Richardson\";\"MG Neser\";\"JA Richardson\";\"MA Starc\";\"MA Starc\";\"NM Lyon\";\"JA Richardson\";\"NM Lyon\";\"JA Richardson\";\"JA Richardson\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"SM Boland\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"NM Lyon\";\"C Green\";\"SM Boland\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"SM Boland\";\"SPD Smith\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"SM Boland\";\"C Green\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"C Green\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"PJ Cummins\";\"SM Boland\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"M Labuschagne\";\"NM Lyon\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"MA Starc\";\"MA Starc\";\"MJ Swepson\";\"MJ Swepson\";\"NM Lyon\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\"];\r\nw = [\"caught and bowled\";\"caught\";\"bowled\";\"run out\";\"caught\";\"caught\";\"run out\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"hit wicket\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught and bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"run out\";\"caught\";\"run out\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"run out\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught and bowled\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,\"MA Wood\") )\r\nassert( isequal(pairs.Bowler,\"PJ Cummins\") )\r\nassert( all(pairs.NumberOfDismissals == 5) )\r\n%% Bowlers from Bangladesh\r\nbt = [\"JD Campbell\";\"S Moseley\";\"NE Bonner\";\"KC Brathwaite\";\"KR Mayers\";\"J Da Silva\";\"J Blackwood\";\"KAJ Roach\";\"RRS Cornwall\";\"JA Warrican\";\"JD Campbell\";\"KC Brathwaite\";\"S Moseley\";\"NE Bonner\";\"J Blackwood\";\"J Da Silva\";\"KAJ Roach\";\"JD Campbell\";\"S Moseley\";\"KC Brathwaite\";\"KR Mayers\";\"J Blackwood\";\"NE Bonner\";\"J Da Silva\";\"AS Joseph\";\"JA Warrican\";\"ST Gabriel\";\"KC Brathwaite\";\"S Moseley\";\"JD Campbell\";\"JA Warrican\";\"KR Mayers\";\"J Blackwood\";\"J Da Silva\";\"AS Joseph\";\"NE Bonner\";\"RRS Cornwall\";\"HDRL Thirimanne\";\"BOP Fernando\";\"AD Mathews\";\"DM de Silva\";\"FDM Karunaratne\";\"P Nissanka\";\"N Dickwella\";\"PWH de Silva\";\"FDM Karunaratne\";\"HDRL Thirimanne\";\"AD Mathews\";\"DM de Silva\";\"P Nissanka\";\"BOP Fernando\";\"RTM Mendis\";\"HDRL Thirimanne\";\"BOP Fernando\";\"AD Mathews\";\"FDM Karunaratne\";\"DM de Silva\";\"P Nissanka\";\"N Dickwella\";\"RTM Mendis\";\"RAS Lakmal\";\"M Shumba\";\"BRM Taylor\";\"D Myers\";\"T Maruma\";\"R Kaia\";\"T Kaitano\";\"DT Tiripano\";\"VM Nyauchi\";\"B Muzarabani\";\"R Ngarava\";\"M Shumba\";\"BRM Taylor\";\"T Kaitano\";\"D Myers\";\"T Maruma\";\"R Kaia\";\"RW Chakabva\";\"VM Nyauchi\";\"DT Tiripano\";\"R Ngarava\";\"D Elgar\";\"SJ Erwee\";\"KD Petersen\";\"RD Rickelton\";\"K Verreynne\";\"PWA Mulder\";\"T Bavuma\";\"KA Maharaj\";\"LB Williams\";\"D Olivier\";\"SJ Erwee\";\"D Elgar\";\"KD Petersen\";\"T Bavuma\";\"K Verreynne\";\"PWA Mulder\";\"KA Maharaj\";\"SR Harmer\";\"LB Williams\";\"D Olivier\";\"SJ Erwee\";\"D Elgar\";\"KD Petersen\";\"RD Rickelton\";\"T Bavuma\";\"K Verreynne\";\"PWA Mulder\";\"KA Maharaj\";\"SR Harmer\";\"LB Williams\";\"D Elgar\";\"KD Petersen\";\"SJ Erwee\";\"RD Rickelton\";\"T Bavuma\";\"PWA Mulder\";\"Abdullah Shafique\";\"Azhar Ali\";\"Babar Azam\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Abid Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Nauman Ali\";\"Faheem Ashraf\";\"Abdullah Shafique\";\"Abid Ali\";\"Abdullah Shafique\";\"Abid Ali\";\"Azhar Ali\";\"Babar Azam\";\"TWM Latham\";\"WA Young\";\"LRPL Taylor\";\"DP Conway\";\"TA Blundell\";\"R Ravindra\";\"KA Jamieson\";\"TG Southee\";\"N Wagner\";\"HM Nicholls\";\"TWM Latham\";\"DP Conway\";\"WA Young\";\"HM Nicholls\";\"TA Blundell\";\"LRPL Taylor\";\"KA Jamieson\";\"R Ravindra\";\"TG Southee\";\"TA Boult\";\"WA Young\";\"DP Conway\";\"LRPL Taylor\";\"HM Nicholls\";\"DJ Mitchell\";\"TWM Latham\";\"FDM Karunaratne\";\"BOP Fernando\";\"BKG Mendis\";\"DM de Silva\";\"LD Chandimal\";\"N Dickwella\";\"RTM Mendis\";\"L Embuldeniya\";\"AM Fernando\";\"AD Mathews\";\"BOP Fernando\";\"L Embuldeniya\";\"BKG Mendis\";\"AD Mathews\";\"FDM Karunaratne\";\"DM de Silva\";\"BOP Fernando\";\"BKG Mendis\";\"CAK Rajitha\";\"FDM Karunaratne\";\"DM de Silva\";\"LD Chandimal\";\"N Dickwella\";\"RTM Mendis\";\"P Jayawickrama\";\"AM Fernando\";\"JD Campbell\";\"RA Reifer\";\"NE Bonner\";\"KC Brathwaite\";\"KR Mayers\";\"J Da Silva\";\"AS Joseph\";\"KAJ Roach\";\"J Blackwood\";\"JNT Seales\";\"KC Brathwaite\";\"RA Reifer\";\"NE Bonner\"];\r\nbw = [\"Mustafizur Rahman\";\"Mustafizur Rahman\";\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Nayeem Hasan\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Abu Jayed\";\"Soumya Sarkar\";\"Abu Jayed\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Abu Jayed\";\"Abu Jayed\";\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Abu Jayed\";\"Abu Jayed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Shoriful Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Saif Hassan\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Shoriful Islam\";\"Mehedi Hasan Miraz\";\"Shoriful Islam\";\"Mominul Haque\";\"Ebadat Hossain\";\"Shoriful Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mominul Haque\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Shoriful Islam\";\"Shoriful Islam\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Shoriful Islam\";\"Mominul Haque\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Mustafizur Rahman\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Khaled Ahmed\"];\r\nw = [\"lbw\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"run out\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"run out\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"run out\";\"run out\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"stumped\";\"lbw\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"stumped\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"run out\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"run out\";\"bowled\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"run out\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AD Mathews\";\"Abid Ali\";\"DM de Silva\";\"J Da Silva\"]) )\r\nassert( isequal(pairs.Bowler,[\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Taijul Islam\"]) )\r\nassert( all(pairs.NumberOfDismissals == 3) )\r\n%% Bowlers from England\r\nbt = [\"RG Sharma\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"KL Rahul\";\"SN Thakur\";\"RA Jadeja\";\"Mohammed Shami\";\"JJ Bumrah\";\"KL Rahul\";\"RG Sharma\";\"CA Pujara\";\"V Kohli\";\"KL Rahul\";\"AM Rahane\";\"RR Pant\";\"Mohammed Shami\";\"I Sharma\";\"JJ Bumrah\";\"RA Jadeja\";\"KL Rahul\";\"RG Sharma\";\"V Kohli\";\"CA Pujara\";\"AM Rahane\";\"RA Jadeja\";\"RR Pant\";\"I Sharma\";\"KL Rahul\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"RG Sharma\";\"Mohammed Shami\";\"RA Jadeja\";\"JJ Bumrah\";\"Mohammed Siraj\";\"KL Rahul\";\"RG Sharma\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"Mohammed Shami\";\"I Sharma\";\"RA Jadeja\";\"Mohammed Siraj\";\"RG Sharma\";\"KL Rahul\";\"CA Pujara\";\"RA Jadeja\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"SN Thakur\";\"JJ Bumrah\";\"UT Yadav\";\"KL Rahul\";\"RG Sharma\";\"CA Pujara\";\"RA Jadeja\";\"AM Rahane\";\"V Kohli\";\"SN Thakur\";\"RR Pant\";\"JJ Bumrah\";\"UT Yadav\";\"HDRL Thirimanne\";\"BKG Mendis\";\"MDKJ Perera\";\"AD Mathews\";\"LD Chandimal\";\"N Dickwella\";\"MD Shanaka\";\"MDK Perera\";\"L Embuldeniya\";\"PWH de Silva\";\"MDKJ Perera\";\"BKG Mendis\";\"L Embuldeniya\";\"HDRL Thirimanne\";\"LD Chandimal\";\"N Dickwella\";\"MD Shanaka\";\"PWH de Silva\";\"MDK Perera\";\"AD Mathews\";\"MDKJ Perera\";\"BOP Fernando\";\"HDRL Thirimanne\";\"LD Chandimal\";\"AD Mathews\";\"RTM Mendis\";\"N Dickwella\";\"RAS Lakmal\";\"L Embuldeniya\";\"MDK Perera\";\"MDKJ Perera\";\"BOP Fernando\";\"HDRL Thirimanne\";\"AD Mathews\";\"LD Chandimal\";\"N Dickwella\";\"MDK Perera\";\"RTM Mendis\";\"L Embuldeniya\";\"AM Fernando\";\"RG Sharma\";\"Shubman Gill\";\"V Kohli\";\"AM Rahane\";\"CA Pujara\";\"RR Pant\";\"R Ashwin\";\"S Nadeem\";\"I Sharma\";\"JJ Bumrah\";\"RG Sharma\";\"CA Pujara\";\"Shubman Gill\";\"AM Rahane\";\"RR Pant\";\"Washington Sundar\";\"R Ashwin\";\"V Kohli\";\"S Nadeem\";\"JJ Bumrah\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"RG Sharma\";\"AM Rahane\";\"R Ashwin\";\"AR Patel\";\"I Sharma\";\"Kuldeep Yadav\";\"Mohammed Siraj\";\"Shubman Gill\";\"CA Pujara\";\"RG Sharma\";\"RR Pant\";\"AM Rahane\";\"AR Patel\";\"V Kohli\";\"Kuldeep Yadav\";\"I Sharma\";\"R Ashwin\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RG Sharma\";\"RR Pant\";\"Washington Sundar\";\"AR Patel\";\"R Ashwin\";\"JJ Bumrah\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RG Sharma\";\"R Ashwin\";\"RR Pant\";\"AR Patel\";\"I Sharma\";\"Mohammed Siraj\";\"TWM Latham\";\"KS Williamson\";\"LRPL Taylor\";\"HM Nicholls\";\"BJ Watling\";\"C de Grandhomme\";\"MJ Santner\";\"KA Jamieson\";\"TG Southee\";\"DP Conway\";\"DP Conway\";\"KS Williamson\";\"N Wagner\";\"TWM Latham\";\"LRPL Taylor\";\"HM Nicholls\";\"TWM Latham\";\"DP Conway\";\"WA Young\";\"LRPL Taylor\";\"HM Nicholls\";\"DJ Mitchell\";\"N Wagner\";\"MJ Henry\";\"TA Blundell\";\"AY Patel\";\"DP Conway\";\"WA Young\";\"JD Campbell\";\"KC Brathwaite\";\"SSJ Brooks\";\"J Blackwood\";\"JO Holder\";\"J Da Silva\";\"AS Joseph\";\"KAJ Roach\";\"NE Bonner\";\"JNT Seales\";\"KC Brathwaite\";\"JD Campbell\";\"SSJ Brooks\";\"J Blackwood\";\"JD Campbell\";\"SSJ Brooks\";\"NE Bonner\";\"J Blackwood\";\"AS Joseph\";\"JO Holder\";\"KC Brathwaite\";\"KAJ Roach\";\"V Permaul\";\"J Da Silva\";\"JD Campbell\";\"SSJ Brooks\";\"NE Bonner\";\"J Blackwood\";\"JO Holder\";\"KC Brathwaite\";\"SSJ Brooks\";\"JD Campbell\";\"NE Bonner\";\"JO Holder\";\"J Blackwood\";\"KR Mayers\";\"AS Joseph\";\"KAJ Roach\";\"JNT Seales\";\"MS Harris\";\"M Labuschagne\";\"SPD Smith\";\"DA Warner\";\"C Green\";\"AT Carey\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"TM Head\";\"AT Carey\";\"MS Harris\";\"DA Warner\";\"M Labuschagne\";\"TM Head\";\"C Green\";\"SPD Smith\";\"AT Carey\";\"MG Neser\";\"JA Richardson\";\"DA Warner\";\"MG Neser\";\"MS Harris\";\"SPD Smith\";\"TM Head\";\"M Labuschagne\";\"AT Carey\";\"MA Starc\";\"JA Richardson\";\"DA Warner\";\"NM Lyon\";\"M Labuschagne\";\"SPD Smith\";\"TM Head\";\"MS Harris\";\"C Green\";\"AT Carey\";\"PJ Cummins\";\"SM Boland\";\"DA Warner\";\"MS Harris\";\"M Labuschagne\";\"SPD Smith\";\"C Green\";\"AT Carey\";\"PJ Cummins\";\"UT Khawaja\";\"DA Warner\";\"MS Harris\";\"M Labuschagne\";\"SPD Smith\";\"C Green\";\"AT Carey\";\"DA Warner\";\"UT Khawaja\";\"SPD Smith\";\"M Labuschagne\";\"TM Head\";\"C Green\";\"MA Starc\";\"PJ Cummins\";\"AT Carey\";\"NM Lyon\";\"DA Warner\";\"M Labuschagne\";\"UT Khawaja\";\"SM Boland\";\"TM Head\";\"SPD Smith\";\"C Green\";\"MA Starc\";\"AT Carey\";\"PJ Cummins\";\"WA Young\";\"TWM Latham\";\"DP Conway\";\"KS Williamson\";\"DJ Mitchell\";\"TA Blundell\";\"KA Jamieson\";\"TG Southee\";\"AY Patel\";\"TA Boult\";\"WA Young\";\"KS Williamson\";\"TWM Latham\";\"DP Conway\";\"DJ Mitchell\";\"C de Grandhomme\";\"KA Jamieson\";\"TA Blundell\";\"AY Patel\";\"TG Southee\";\"WA Young\";\"TWM Latham\";\"HM Nicholls\";\"DP Conway\";\"TA Blundell\";\"MG Bracewell\";\"KA Jamieson\";\"TG Southee\";\"MJ Henry\";\"DJ Mitchell\";\"TWM Latham\";\"DP Conway\";\"HM Nicholls\";\"WA Young\";\"TA Blundell\";\"MG Bracewell\";\"TG Southee\";\"MJ Henry\";\"KA Jamieson\";\"TA Boult\"];\r\nbw = [\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"MA Wood\";\"MM Ali\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"SM Curran\";\"MA Wood\";\"MM Ali\";\"MM Ali\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"SM Curran\";\"SM Curran\";\"C Overton\";\"C Overton\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MM Ali\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"CR Woakes\";\"OE Robinson\";\"JM Anderson\";\"CR Woakes\";\"OE Robinson\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"CR Woakes\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"CR Woakes\";\"C Overton\";\"SCJ Broad\";\"SCJ Broad\";\"DM Bess\";\"SCJ Broad\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"SM Curran\";\"MJ Leach\";\"DM Bess\";\"SM Curran\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"SM Curran\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"JC Archer\";\"JC Archer\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"DM Bess\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"JC Archer\";\"OP Stone\";\"MJ Leach\";\"MM Ali\";\"MJ Leach\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"MM Ali\";\"OP Stone\";\"OP Stone\";\"MJ Leach\";\"MM Ali\";\"MJ Leach\";\"MJ Leach\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MJ Leach\";\"OP Stone\";\"JC Archer\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"MJ Leach\";\"JM Anderson\";\"JE Root\";\"BA Stokes\";\"BA Stokes\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"MA Wood\";\"OE Robinson\";\"JM Anderson\";\"JE Root\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"MA Wood\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"DW Lawrence\";\"OP Stone\";\"MA Wood\";\"OP Stone\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"OP Stone\";\"C Overton\";\"MA Wood\";\"BA Stokes\";\"CR Woakes\";\"BA Stokes\";\"MJ Leach\";\"C Overton\";\"MJ Leach\";\"DW Lawrence\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MD Fisher\";\"MJ Leach\";\"BA Stokes\";\"DW Lawrence\";\"BA Stokes\";\"S Mahmood\";\"MJ Leach\";\"CR Woakes\";\"S Mahmood\";\"MJ Leach\";\"MJ Leach\";\"S Mahmood\";\"S Mahmood\";\"MJ Leach\";\"MJ Leach\";\"BA Stokes\";\"S Mahmood\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"CR Woakes\";\"BA Stokes\";\"C Overton\";\"S Mahmood\";\"JE Root\";\"OE Robinson\";\"MJ Leach\";\"MA Wood\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"JE Root\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"SCJ Broad\";\"BA Stokes\";\"OE Robinson\";\"JE Root\";\"BA Stokes\";\"JM Anderson\";\"JM Anderson\";\"BA Stokes\";\"CR Woakes\";\"JE Root\";\"JM Anderson\";\"SCJ Broad\";\"OE Robinson\";\"OE Robinson\";\"DJ Malan\";\"JE Root\";\"JE Root\";\"DJ Malan\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"JM Anderson\";\"OE Robinson\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"MA Wood\";\"MJ Leach\";\"MA Wood\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"OE Robinson\";\"SCJ Broad\";\"OE Robinson\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"CR Woakes\";\"SCJ Broad\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"SCJ Broad\";\"MJ Potts\";\"MJ Potts\";\"MJ Potts\";\"JM Anderson\";\"JM Anderson\";\"MJ Potts\";\"BA Stokes\";\"JM Anderson\";\"MJ Potts\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\";\"MJ Potts\";\"MW Parkinson\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"JM Anderson\";\"MJ Leach\";\"JM Anderson\";\"SCJ Broad\";\"SCJ Broad\";\"MJ Leach\";\"MJ Potts\";\"JM Anderson\";\"MJ Leach\";\"MJ Potts\";\"BA Stokes\";\"SCJ Broad\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"run out\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"run out\";\"stumped\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"run out\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"run out\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AM Rahane\";\"CA Pujara\";\"CA Pujara\";\"DP Conway\";\"RG Sharma\";\"RR Pant\"]) )\r\nassert( isequal(pairs.Bowler,[\"JM Anderson\";\"JM Anderson\";\"MJ Leach\";\"SCJ Broad\";\"MJ Leach\";\"OE Robinson\"]) )\r\nassert( all(pairs.NumberOfDismissals == 4) )\r\n%% Bowlers from India\r\nbt = [\"DA Warner\";\"WJ Pucovski\";\"M Labuschagne\";\"MS Wade\";\"C Green\";\"TD Paine\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"SPD Smith\";\"WJ Pucovski\";\"DA Warner\";\"M Labuschagne\";\"MS Wade\";\"SPD Smith\";\"C Green\";\"DA Warner\";\"MS Harris\";\"SPD Smith\";\"MS Wade\";\"M Labuschagne\";\"TD Paine\";\"C Green\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MS Harris\";\"DA Warner\";\"M Labuschagne\";\"MS Wade\";\"SPD Smith\";\"C Green\";\"TD Paine\";\"MA Starc\";\"NM Lyon\";\"JR Hazlewood\";\"RJ Burns\";\"Z Crawley\";\"DP Sibley\";\"JM Bairstow\";\"DW Lawrence\";\"JC Buttler\";\"JE Root\";\"OE Robinson\";\"SCJ Broad\";\"JM Anderson\";\"RJ Burns\";\"Z Crawley\";\"DP Sibley\";\"JM Bairstow\";\"DW Lawrence\";\"JC Buttler\";\"JE Root\";\"SM Curran\";\"SCJ Broad\";\"OE Robinson\";\"DP Sibley\";\"H Hameed\";\"RJ Burns\";\"JM Bairstow\";\"JC Buttler\";\"MM Ali\";\"SM Curran\";\"OE Robinson\";\"MA Wood\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"H Hameed\";\"JM Bairstow\";\"JE Root\";\"MM Ali\";\"SM Curran\";\"OE Robinson\";\"JC Buttler\";\"JM Anderson\";\"RJ Burns\";\"H Hameed\";\"DJ Malan\";\"JM Bairstow\";\"JC Buttler\";\"JE Root\";\"MM Ali\";\"SM Curran\";\"C Overton\";\"OE Robinson\";\"RJ Burns\";\"H Hameed\";\"JE Root\";\"C Overton\";\"DJ Malan\";\"JM Bairstow\";\"MM Ali\";\"OJ Pope\";\"OE Robinson\";\"CR Woakes\";\"RJ Burns\";\"DJ Malan\";\"H Hameed\";\"OJ Pope\";\"JM Bairstow\";\"MM Ali\";\"JE Root\";\"CR Woakes\";\"C Overton\";\"JM Anderson\";\"RJ Burns\";\"DW Lawrence\";\"DP Sibley\";\"BA Stokes\";\"OJ Pope\";\"JE Root\";\"JC Buttler\";\"JC Archer\";\"DM Bess\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"DW Lawrence\";\"BA Stokes\";\"JE Root\";\"OJ Pope\";\"JC Buttler\";\"DM Bess\";\"JC Archer\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"JE Root\";\"DW Lawrence\";\"BA Stokes\";\"OJ Pope\";\"MM Ali\";\"OP Stone\";\"MJ Leach\";\"SCJ Broad\";\"DP Sibley\";\"RJ Burns\";\"MJ Leach\";\"DW Lawrence\";\"BA Stokes\";\"OJ Pope\";\"BT Foakes\";\"JE Root\";\"OP Stone\";\"MM Ali\";\"DP Sibley\";\"JM Bairstow\";\"JE Root\";\"Z Crawley\";\"OJ Pope\";\"BA Stokes\";\"JC Archer\";\"MJ Leach\";\"SCJ Broad\";\"BT Foakes\";\"Z Crawley\";\"JM Bairstow\";\"DP Sibley\";\"BA Stokes\";\"JE Root\";\"OJ Pope\";\"JC Archer\";\"BT Foakes\";\"MJ Leach\";\"JM Anderson\";\"DP Sibley\";\"Z Crawley\";\"JE Root\";\"JM Bairstow\";\"BA Stokes\";\"OJ Pope\";\"BT Foakes\";\"DW Lawrence\";\"DM Bess\";\"MJ Leach\";\"Z Crawley\";\"JM Bairstow\";\"DP Sibley\";\"BA Stokes\";\"OJ Pope\";\"JE Root\";\"BT Foakes\";\"DM Bess\";\"MJ Leach\";\"DW Lawrence\";\"TWM Latham\";\"DP Conway\";\"LRPL Taylor\";\"HM Nicholls\";\"BJ Watling\";\"C de Grandhomme\";\"KA Jamieson\";\"KS Williamson\";\"N Wagner\";\"TG Southee\";\"TWM Latham\";\"DP Conway\";\"D Elgar\";\"KD Petersen\";\"AK Markram\";\"HE van der Dussen\";\"Q de Kock\";\"PWA Mulder\";\"T Bavuma\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\";\"AK Markram\";\"KD Petersen\";\"HE van der Dussen\";\"KA Maharaj\";\"D Elgar\";\"Q de Kock\";\"PWA Mulder\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"AK Markram\";\"D Elgar\";\"KD Petersen\";\"HE van der Dussen\";\"K Verreynne\";\"T Bavuma\";\"K Rabada\";\"KA Maharaj\";\"M Jansen\";\"L Ngidi\";\"AK Markram\";\"KD Petersen\";\"HE van der Dussen\";\"D Elgar\";\"AK Markram\";\"KA Maharaj\";\"HE van der Dussen\";\"T Bavuma\";\"K Verreynne\";\"M Jansen\";\"KD Petersen\";\"K Rabada\";\"L Ngidi\";\"AK Markram\";\"D Elgar\";\"KD Petersen\";\"WA Young\";\"KS Williamson\";\"LRPL Taylor\";\"HM Nicholls\";\"TWM Latham\";\"R Ravindra\";\"TA Blundell\";\"TG Southee\";\"KA Jamieson\";\"WER Somerville\";\"WA Young\";\"WER Somerville\";\"TWM Latham\";\"LRPL Taylor\";\"HM Nicholls\";\"KS Williamson\";\"TA Blundell\";\"KA Jamieson\";\"TG Southee\";\"WA Young\";\"TWM Latham\";\"LRPL Taylor\";\"DJ Mitchell\";\"HM Nicholls\";\"R Ravindra\";\"TA Blundell\";\"TG Southee\";\"WER Somerville\";\"KA Jamieson\";\"TWM Latham\";\"WA Young\";\"LRPL Taylor\";\"DJ Mitchell\";\"TA Blundell\";\"R Ravindra\";\"KA Jamieson\";\"TG Southee\";\"WER Somerville\";\"HM Nicholls\";\"HDRL Thirimanne\";\"FDM Karunaratne\";\"AD Mathews\";\"DM de Silva\";\"KIC Asalanka\";\"N Dickwella\";\"RAS Lakmal\";\"L Embuldeniya\";\"MVT Fernando\";\"CBRLS Kumara\";\"HDRL Thirimanne\";\"P Nissanka\";\"FDM Karunaratne\";\"DM de Silva\";\"KIC Asalanka\";\"AD Mathews\";\"RAS Lakmal\";\"L Embuldeniya\";\"MVT Fernando\";\"CBRLS Kumara\";\"BKG Mendis\";\"HDRL Thirimanne\";\"FDM Karunaratne\";\"DM de Silva\";\"KIC Asalanka\";\"AD Mathews\";\"L Embuldeniya\";\"RAS Lakmal\";\"N Dickwella\";\"MVT Fernando\";\"HDRL Thirimanne\";\"BKG Mendis\";\"AD Mathews\";\"DM de Silva\";\"N Dickwella\";\"KIC Asalanka\";\"FDM Karunaratne\";\"L Embuldeniya\";\"RAS Lakmal\";\"MVT Fernando\"];\r\nbw = [\"Mohammed Siraj\";\"Navdeep Saini\";\"RA Jadeja\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"Navdeep Saini\";\"RA Jadeja\";\"JJ Bumrah\";\"Mohammed Siraj\";\"R Ashwin\";\"Navdeep Saini\";\"Navdeep Saini\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"Washington Sundar\";\"T Natarajan\";\"T Natarajan\";\"SN Thakur\";\"Washington Sundar\";\"SN Thakur\";\"Washington Sundar\";\"T Natarajan\";\"SN Thakur\";\"Washington Sundar\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Siraj\";\"I Sharma\";\"I Sharma\";\"I Sharma\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Siraj\";\"RA Jadeja\";\"SN Thakur\";\"RA Jadeja\";\"JJ Bumrah\";\"SN Thakur\";\"RA Jadeja\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"SN Thakur\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"S Nadeem\";\"R Ashwin\";\"S Nadeem\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"JJ Bumrah\";\"S Nadeem\";\"S Nadeem\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"Kuldeep Yadav\";\"AR Patel\";\"AR Patel\";\"Kuldeep Yadav\";\"I Sharma\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"Washington Sundar\";\"AR Patel\";\"AR Patel\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Washington Sundar\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"Mohammed Shami\";\"I Sharma\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"I Sharma\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Shami\";\"Mohammed Shami\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"R Ashwin\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"SN Thakur\";\"JJ Bumrah\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"R Ashwin\";\"UT Yadav\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"RA Jadeja\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"UT Yadav\";\"R Ashwin\";\"RA Jadeja\";\"AR Patel\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"J Yadav\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"J Yadav\";\"J Yadav\";\"J Yadav\";\"J Yadav\";\"R Ashwin\";\"R Ashwin\";\"RA Jadeja\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"RA Jadeja\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"AR Patel\";\"JJ Bumrah\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\"];\r\nw = [\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"run out\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"run out\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"run out\";\"caught\";\"run out\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"lbw\";\"bowled\";\"caught and bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"stumped\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"stumped\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"run out\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"lbw\";\"stumped\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AK Markram\";\"BA Stokes\";\"D Elgar\";\"DP Sibley\";\"JE Root\";\"JM Bairstow\";\"MJ Leach\";\"OJ Pope\";\"TWM Latham\"]) )\r\nassert( isequal(pairs.Bowler,[\"Mohammed Shami\";\"R Ashwin\";\"JJ Bumrah\";\"AR Patel\";\"JJ Bumrah\";\"Mohammed Siraj\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\"]) )\r\nassert( all(pairs.NumberOfDismissals == 4) )\r\n%% Bowlers from New Zealand\r\nbt = [\"Shan Masood\";\"Abid Ali\";\"Haris Sohail\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Azhar Ali\";\"Faheem Ashraf\";\"Zafar Gohar\";\"Shaheen Shah Afridi\";\"Naseem Shah\";\"Shan Masood\";\"Mohammad Abbas\";\"Abid Ali\";\"Haris Sohail\";\"Azhar Ali\";\"Mohammad Rizwan\";\"Fawad Alam\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Zafar Gohar\";\"DP Sibley\";\"Z Crawley\";\"JE Root\";\"OJ Pope\";\"DW Lawrence\";\"James Bracey\";\"OE Robinson\";\"MA Wood\";\"SCJ Broad\";\"RJ Burns\";\"RJ Burns\";\"Z Crawley\";\"JE Root\";\"DP Sibley\";\"Z Crawley\";\"JE Root\";\"OJ Pope\";\"RJ Burns\";\"James Bracey\";\"OP Stone\";\"MA Wood\";\"SCJ Broad\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"Z Crawley\";\"OJ Pope\";\"DW Lawrence\";\"James Bracey\";\"JE Root\";\"MA Wood\";\"SCJ Broad\";\"OP Stone\";\"RG Sharma\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"RR Pant\";\"AM Rahane\";\"R Ashwin\";\"I Sharma\";\"JJ Bumrah\";\"RA Jadeja\";\"Shubman Gill\";\"RG Sharma\";\"V Kohli\";\"CA Pujara\";\"AM Rahane\";\"RA Jadeja\";\"RR Pant\";\"R Ashwin\";\"Mohammed Shami\";\"JJ Bumrah\";\"Z Crawley\";\"OJ Pope\";\"JE Root\";\"AZ Lees\";\"BA Stokes\";\"JM Bairstow\";\"MJ Potts\";\"SCJ Broad\";\"BT Foakes\";\"MW Parkinson\";\"AZ Lees\";\"Z Crawley\";\"OJ Pope\";\"JM Bairstow\";\"BA Stokes\";\"Z Crawley\";\"AZ Lees\";\"OJ Pope\";\"JM Bairstow\";\"BA Stokes\";\"JE Root\";\"SCJ Broad\";\"BT Foakes\";\"MJ Potts\";\"JM Anderson\";\"Z Crawley\";\"OJ Pope\";\"JE Root\";\"AZ Lees\";\"JM Bairstow\";\"MA Agarwal\";\"Shubman Gill\";\"CA Pujara\";\"AM Rahane\";\"RA Jadeja\";\"WP Saha\";\"SS Iyer\";\"AR Patel\";\"R Ashwin\";\"I Sharma\";\"Shubman Gill\";\"CA Pujara\";\"AM Rahane\";\"MA Agarwal\";\"RA Jadeja\";\"R Ashwin\";\"SS Iyer\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"SS Iyer\";\"WP Saha\";\"R Ashwin\";\"MA Agarwal\";\"AR Patel\";\"J Yadav\";\"Mohammed Siraj\";\"MA Agarwal\";\"CA Pujara\";\"Shubman Gill\";\"SS Iyer\";\"V Kohli\";\"WP Saha\";\"J Yadav\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mahmudul Hasan Joy\";\"Mushfiqur Rahim\";\"Mominul Haque\";\"Liton Das\";\"Mehedi Hasan Miraz\";\"Yasir Ali Chowdhury\";\"Taskin Ahmed\";\"Shoriful Islam\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Shadman Islam\";\"Mohammad Naim\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Liton Das\";\"Nurul Hasan\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Yasir Ali Chowdhury\";\"Shoriful Islam\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mohammad Naim\";\"Mominul Haque\";\"Yasir Ali Chowdhury\";\"Nurul Hasan\";\"Mehedi Hasan Miraz\";\"Liton Das\";\"Shoriful Islam\";\"Ebadat Hossain\";\"D Elgar\";\"SJ Erwee\";\"AK Markram\";\"HE van der Dussen\";\"T Bavuma\";\"Zubayr Hamza\";\"K Verreynne\";\"K Rabada\";\"GA Stuurman\";\"D Olivier\";\"SJ Erwee\";\"D Elgar\";\"AK Markram\";\"HE van der Dussen\";\"Zubayr Hamza\";\"T Bavuma\";\"K Verreynne\";\"K Rabada\";\"M Jansen\";\"GA Stuurman\";\"D Elgar\";\"AK Markram\";\"SJ Erwee\";\"T Bavuma\";\"K Verreynne\";\"HE van der Dussen\";\"PWA Mulder\";\"K Rabada\";\"KA Maharaj\";\"L Sipamla\";\"SJ Erwee\";\"D Elgar\";\"AK Markram\";\"HE van der Dussen\";\"T Bavuma\";\"PWA Mulder\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\"];\r\nbw = [\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KS Williamson\";\"TA Boult\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"N Wagner\";\"MJ Henry\";\"AY Patel\";\"TA Boult\";\"TA Boult\";\"AY Patel\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"AY Patel\";\"AY Patel\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"C de Grandhomme\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"MG Bracewell\";\"TA Boult\";\"MG Bracewell\";\"MG Bracewell\";\"TA Boult\";\"MG Bracewell\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"KA Jamieson\";\"KA Jamieson\";\"AY Patel\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"R Ravindra\";\"AY Patel\";\"R Ravindra\";\"R Ravindra\";\"AY Patel\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"N Wagner\";\"DJ Mitchell\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"LRPL Taylor\";\"MJ Henry\";\"KA Jamieson\";\"MJ Henry\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"TG Southee\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"C de Grandhomme\";\"MJ Henry\";\"KA Jamieson\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"stumped\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"bowled\";\"caught\";\"caught and bowled\";\"caught and bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,\"JM Bairstow\") )\r\nassert( isequal(pairs.Bowler,\"TA Boult\") )\r\nassert( all(pairs.NumberOfDismissals == 3) )\r\n%% Bowlers from Pakistan\r\nbt = [\"TA Blundell\";\"TWM Latham\";\"LRPL Taylor\";\"HM Nicholls\";\"BJ Watling\";\"KS Williamson\";\"AK Markram\";\"HE van der Dussen\";\"F du Plessis\";\"Q de Kock\";\"D Elgar\";\"T Bavuma\";\"KA Maharaj\";\"GF Linde\";\"A Nortje\";\"L Ngidi\";\"D Elgar\";\"HE van der Dussen\";\"F du Plessis\";\"AK Markram\";\"KA Maharaj\";\"Q de Kock\";\"GF Linde\";\"K Rabada\";\"A Nortje\";\"T Bavuma\";\"D Elgar\";\"HE van der Dussen\";\"F du Plessis\";\"AK Markram\";\"Q de Kock\";\"PWA Mulder\";\"GF Linde\";\"KA Maharaj\";\"K Rabada\";\"A Nortje\";\"D Elgar\";\"HE van der Dussen\";\"F du Plessis\";\"AK Markram\";\"Q de Kock\";\"T Bavuma\";\"GF Linde\";\"KA Maharaj\";\"K Rabada\";\"PWA Mulder\";\"KT Kasuza\";\"PS Masvaure\";\"TK Musakanda\";\"BRM Taylor\";\"M Shumba\";\"R Kaia\";\"RW Chakabva\";\"TS Chisoro\";\"B Muzarabani\";\"R Ngarava\";\"KT Kasuza\";\"M Shumba\";\"TK Musakanda\";\"R Kaia\";\"BRM Taylor\";\"DT Tiripano\";\"TS Chisoro\";\"B Muzarabani\";\"R Ngarava\";\"TK Musakanda\";\"KT Kasuza\";\"BRM Taylor\";\"M Shumba\";\"TS Chisoro\";\"RW Chakabva\";\"LM Jongwe\";\"DT Tiripano\";\"R Kaia\";\"B Muzarabani\";\"TK Musakanda\";\"KT Kasuza\";\"BRM Taylor\";\"RW Chakabva\";\"M Shumba\";\"DT Tiripano\";\"R Kaia\";\"TS Chisoro\";\"R Ngarava\";\"LM Jongwe\";\"KOA Powell\";\"NE Bonner\";\"RL Chase\";\"J Blackwood\";\"KR Mayers\";\"JO Holder\";\"KC Brathwaite\";\"KAJ Roach\";\"JA Warrican\";\"J Da Silva\";\"KOA Powell\";\"KC Brathwaite\";\"NE Bonner\";\"RL Chase\";\"KR Mayers\";\"J Blackwood\";\"JO Holder\";\"J Da Silva\";\"JA Warrican\";\"KOA Powell\";\"KC Brathwaite\";\"RL Chase\";\"AS Joseph\";\"NE Bonner\";\"KR Mayers\";\"J Blackwood\";\"J Da Silva\";\"JO Holder\";\"KAJ Roach\";\"KOA Powell\";\"AS Joseph\";\"NE Bonner\";\"RL Chase\";\"J Blackwood\";\"KC Brathwaite\";\"KR Mayers\";\"JO Holder\";\"KAJ Roach\";\"J Da Silva\";\"Saif Hassan\";\"Shadman Islam\";\"Mominul Haque\";\"Nazmul Hossain Shanto\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mushfiqur Rahim\";\"Taijul Islam\";\"Abu Jayed\";\"Ebadat Hossain\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Saif Hassan\";\"Mushfiqur Rahim\";\"Mehedi Hasan Miraz\";\"Nurul Hasan\";\"Liton Das\";\"Abu Jayed\";\"Taijul Islam\";\"Mahmudul Hasan Joy\";\"Shadman Islam\";\"Mominul Haque\";\"Mushfiqur Rahim\";\"Liton Das\";\"Nazmul Hossain Shanto\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Khaled Ahmed\";\"Shakib Al Hasan\";\"Mahmudul Hasan Joy\";\"Shadman Islam\";\"Mominul Haque\";\"Nazmul Hossain Shanto\";\"Liton Das\";\"Mushfiqur Rahim\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Khaled Ahmed\";\"Taijul Islam\";\"DA Warner\";\"UT Khawaja\";\"M Labuschagne\";\"TM Head\";\"C Green\";\"SPD Smith\";\"AT Carey\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"DA Warner\";\"M Labuschagne\";\"SPD Smith\";\"NM Lyon\";\"TM Head\";\"UT Khawaja\";\"C Green\";\"AT Carey\";\"MA Starc\";\"DA Warner\";\"M Labuschagne\";\"DA Warner\";\"M Labuschagne\";\"SPD Smith\";\"UT Khawaja\";\"TM Head\";\"AT Carey\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"MJ Swepson\";\"DA Warner\";\"M Labuschagne\";\"SPD Smith\"];\r\nbw = [\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Yasir Shah\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Yasir Shah\";\"Hasan Ali\";\"Yasir Shah\";\"Shaheen Shah Afridi\";\"Yasir Shah\";\"Yasir Shah\";\"Yasir Shah\";\"Nauman Ali\";\"Hasan Ali\";\"Yasir Shah\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Yasir Shah\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Tabish Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Hasan Ali\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Mohammad Abbas\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Yasir Shah\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Nauman Ali\";\"Babar Azam\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Naseem Shah\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Babar Azam\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Naseem Shah\";\"Sajid Khan\";\"Naseem Shah\";\"Nauman Ali\";\"Naseem Shah\";\"Shaheen Shah Afridi\";\"Naseem Shah\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Naseem Shah\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"run out\";\"bowled\";\"bowled\";\"run out\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"run out\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"run out\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"run out\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"run out\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught and bowled\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"run out\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"run out\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"GF Linde\";\"J Da Silva\";\"KT Kasuza\";\"M Labuschagne\";\"MA Starc\";\"Taijul Islam\"]) )\r\nassert( isequal(pairs.Bowler,[\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\"]) )\r\nassert( all(pairs.NumberOfDismissals == 3) )\r\n%% Bowlers from South Africa\r\nbt = [\"FDM Karunaratne\";\"MDKJ Perera\";\"BKG Mendis\";\"HDRL Thirimanne\";\"M Bhanuka\";\"N Dickwella\";\"MD Shanaka\";\"PWH de Silva\";\"PVD Chameera\";\"AM Fernando\";\"MDKJ Perera\";\"HDRL Thirimanne\";\"BKG Mendis\";\"M Bhanuka\";\"FDM Karunaratne\";\"N Dickwella\";\"MD Shanaka\";\"PWH de Silva\";\"PVD Chameera\";\"AM Fernando\";\"Abid Ali\";\"Imran Butt\";\"Babar Azam\";\"Shaheen Shah Afridi\";\"Azhar Ali\";\"Mohammad Rizwan\";\"Fawad Alam\";\"Faheem Ashraf\";\"Hasan Ali\";\"Nauman Ali\";\"Abid Ali\";\"Imran Butt\";\"Babar Azam\";\"Imran Butt\";\"Azhar Ali\";\"Abid Ali\";\"Babar Azam\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Hasan Ali\";\"Yasir Shah\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Imran Butt\";\"Abid Ali\";\"Babar Azam\";\"Azhar Ali\";\"Fawad Alam\";\"Faheem Ashraf\";\"Hasan Ali\";\"Yasir Shah\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"SD Hope\";\"KC Brathwaite\";\"NE Bonner\";\"KR Mayers\";\"J Blackwood\";\"RL Chase\";\"J Da Silva\";\"RRS Cornwall\";\"KAJ Roach\";\"JO Holder\";\"KC Brathwaite\";\"KOA Powell\";\"SD Hope\";\"KR Mayers\";\"J Blackwood\";\"JO Holder\";\"RL Chase\";\"RRS Cornwall\";\"J Da Silva\";\"JNT Seales\";\"KC Brathwaite\";\"KOA Powell\";\"RL Chase\";\"KR Mayers\";\"SD Hope\";\"JO Holder\";\"J Da Silva\";\"KAJ Roach\";\"JNT Seales\";\"J Blackwood\";\"KC Brathwaite\";\"SD Hope\";\"KR Mayers\";\"KOA Powell\";\"JO Holder\";\"J Da Silva\";\"J Blackwood\";\"KAJ Roach\";\"JNT Seales\";\"MA Agarwal\";\"CA Pujara\";\"V Kohli\";\"KL Rahul\";\"AM Rahane\";\"R Ashwin\";\"RR Pant\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"MA Agarwal\";\"SN Thakur\";\"KL Rahul\";\"V Kohli\";\"CA Pujara\";\"AM Rahane\";\"R Ashwin\";\"RR Pant\";\"Mohammed Shami\";\"Mohammed Siraj\";\"MA Agarwal\";\"CA Pujara\";\"AM Rahane\";\"GH Vihari\";\"KL Rahul\";\"RR Pant\";\"SN Thakur\";\"Mohammed Shami\";\"R Ashwin\";\"Mohammed Siraj\";\"KL Rahul\";\"MA Agarwal\";\"AM Rahane\";\"CA Pujara\";\"RR Pant\";\"R Ashwin\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Siraj\";\"KL Rahul\";\"MA Agarwal\";\"CA Pujara\";\"AM Rahane\";\"RR Pant\";\"R Ashwin\";\"SN Thakur\";\"JJ Bumrah\";\"V Kohli\";\"Mohammed Shami\";\"MA Agarwal\";\"KL Rahul\";\"CA Pujara\";\"AM Rahane\";\"V Kohli\";\"R Ashwin\";\"SN Thakur\";\"UT Yadav\";\"Mohammed Shami\";\"JJ Bumrah\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Mushfiqur Rahim\";\"Taskin Ahmed\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Mahmudul Hasan Joy\";\"Shadman Islam\";\"Mahmudul Hasan Joy\";\"Mominul Haque\";\"Mushfiqur Rahim\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mehedi Hasan Miraz\";\"Nazmul Hossain Shanto\";\"Khaled Ahmed\";\"Taskin Ahmed\";\"Mahmudul Hasan Joy\";\"Tamim Iqbal\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mushfiqur Rahim\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Mahmudul Hasan Joy\";\"Nazmul Hossain Shanto\";\"Tamim Iqbal\";\"Mushfiqur Rahim\";\"Mominul Haque\";\"Yasir Ali Chowdhury\";\"Liton Das\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Taijul Islam\";\"WA Young\";\"TWM Latham\";\"DP Conway\";\"N Wagner\";\"DJ Mitchell\";\"HM Nicholls\";\"C de Grandhomme\";\"KA Jamieson\";\"TG Southee\";\"TA Blundell\";\"TWM Latham\";\"WA Young\";\"DP Conway\";\"HM Nicholls\";\"TA Blundell\";\"DJ Mitchell\";\"KA Jamieson\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"WA Young\";\"TWM Latham\";\"HM Nicholls\";\"DJ Mitchell\";\"DP Conway\";\"TA Blundell\";\"C de Grandhomme\";\"KA Jamieson\";\"TG Southee\";\"MJ Henry\"];\r\nbw = [\"A Nortje\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"L Sipamla\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"PWA Mulder\";\"L Sipamla\";\"L Sipamla\";\"L Sipamla\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"A Nortje\";\"KA Maharaj\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"GF Linde\";\"GF Linde\";\"GF Linde\";\"KA Maharaj\";\"GF Linde\";\"K Rabada\";\"GF Linde\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"K Rabada\";\"L Ngidi\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"K Rabada\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"L Ngidi\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"L Ngidi\";\"L Ngidi\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"LB Williams\";\"LB Williams\";\"D Olivier\";\"PWA Mulder\";\"D Olivier\";\"LB Williams\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"D Olivier\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"D Olivier\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"GA Stuurman\";\"D Olivier\";\"AK Markram\";\"AK Markram\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"L Sipamla\";\"M Jansen\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"caught and bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AM Rahane\";\"Babar Azam\";\"KC Brathwaite\";\"KL Rahul\"]) )\r\nassert( isequal(pairs.Bowler,[\"K Rabada\";\"KA Maharaj\";\"K Rabada\";\"M Jansen\"]) )\r\nassert( all(pairs.NumberOfDismissals == 3) )","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-11-08T20:10:18.000Z","deleted_by":null,"deleted_at":null,"solvers_count":20,"test_suite_updated_at":"2022-11-08T20:04:47.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-11-07T20:18:12.000Z","updated_at":"2025-12-06T13:26:51.000Z","published_at":"2022-11-08T15:16:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a table representing all wickets taken in a particular set of matches, return a table of the bowler-batter pairs that occur most commonly.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe input table will have three variables: \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\u003eBatter\u003c/w:t\u003e\u003c/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\u003eBowler\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eDismissal\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, representing the batter dismissed, the bowler of the delivery when the wicket fell, and the type of dismissal, respectively. The dismissal will be one of the set:  \\\"bowled\\\", \\\"caught\\\", \\\"caught and bowled\\\", \\\"hit wicket\\\", \\\"lbw\\\", \\\"run out\\\", \\\"stumped\\\". Note that run outs are included in the list of wickets. However, because they are not credited to the bowler, your function should \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003enot\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e count these.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\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 output table should have three variables: \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\u003eBatter\u003c/w:t\u003e\u003c/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\u003eBowler\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNumberOfDismissals\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Each row of the table should represent a unique combination of bowler and batter, all with the same value of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNumberOfDismissals\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (which should be the maximum of all pairs in the data set).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example,\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"419\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"901\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A table of 8 dismissals, giving batter name, bowler name, and type of dismissal. One entry is crossed out, because the dismissal is \u0026quot;run out\u0026quot;. This table is aggregated into a square matrix of batters (rows) vs bowlers (columns). Each entry in the matrix is the number of times each batter-bowler pair appears in the original table. The maximum value in the matrix is highlighted, one from the row \u0026quot;Ben\u0026quot; and the other from the row \u0026quot;Renee\u0026quot;, both from the column \u0026quot;Ned\u0026quot;. This matrix is then transformed to the resulting table of batter-bowler combinations (Ben-Ned and Renee-Ned), both with NumberOfDismissals equal to 2.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[bt = [\\\"Ben\\\";\\\"Matt\\\";\\\"Renee\\\";\\\"Renee\\\";\\\"Ben\\\";\\\"Ned\\\";\\\"Ben\\\";\\\"Renee\\\"];\\nbw = [\\\"Ned\\\";\\\"Renee\\\";\\\"Ned\\\";\\\"Ben\\\";\\\"Ned\\\";\\\"Matt\\\";\\\"Renee\\\";\\\"Ned\\\"];\\nw = [\\\"hit wicket\\\";\\\"lbw\\\";\\\"bowled\\\";\\\"caught\\\";\\\"lbw\\\";\\\"stumped\\\";\\\"run out\\\";\\\"caught\\\"];\\nwickets = table(bt,bw,w,'VariableNames',[\\\"Batter\\\",\\\"Bowler\\\",\\\"Dismissal\\\"])\\nwickets =\\n  8×3 table\\n    Batter     Bowler      Dismissal  \\n    _______    _______    ____________\\n    \\\"Ben\\\"      \\\"Ned\\\"      \\\"hit wicket\\\"\\n    \\\"Matt\\\"     \\\"Renee\\\"    \\\"lbw\\\"       \\n    \\\"Renee\\\"    \\\"Ned\\\"      \\\"bowled\\\"    \\n    \\\"Renee\\\"    \\\"Ben\\\"      \\\"caught\\\"    \\n    \\\"Ben\\\"      \\\"Ned\\\"      \\\"lbw\\\"       \\n    \\\"Ned\\\"      \\\"Matt\\\"     \\\"stumped\\\"   \\n    \\\"Ben\\\"      \\\"Renee\\\"    \\\"run out\\\"   \\n    \\\"Renee\\\"    \\\"Ned\\\"      \\\"caught\\\"    \\n    \\npairs = whosyourbunny(wickets)\\npairs =\\n  2×3 table\\n    Batter     Bowler    NumberOfDismissals\\n    _______    ______    __________________\\n    \\\"Ben\\\"      \\\"Ned\\\"             2         \\n    \\\"Renee\\\"    \\\"Ned\\\"             2         ]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56533,"title":"Cricket - You Miss, I Hit (Rank Bowlers by Proportion of Bowled and LBW Wickets)","description":"Which bowlers threaten your stumps the most? Given a table of all wickets taken during some particular set of matches and two thresholds, w and p, return a table of the bowlers who have taken at least w wickets with a proportional of at least p of those wickets being either bowled or LBW. The table returned should be sorted in descending order of this proportion. If bowlers share the same proportion, they should be ordered in descending order of total wickets.\r\nThe input table will have two variables, Bowler and Dismissal. Both are string vectors. The first is the names of the bowlers, the second is the type of wicket, which will be from the set: \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"stumped\".\r\nThe output table should have three variables: Bowler, Wickets, and WWProp. The first is the names of the bowlers (string), the second is the number of wickets taken by each bowler (double), and the third is the proportion of each bowler's wickets that were bowled or LBW.\r\nFor example, with thresholds of w = 2, p = 0.5:\r\n\r\nb = [\"Ben\";\"Matt\";\"Renee\";\"Renee\";\"Ben\";\"Ned\";\"Ben\";\"Ned\"];\r\nw = [\"hit wicket\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"stumped\";\"bowled\";\"caught and bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"])\r\nwickets =\r\n  8×2 table\r\n    Bowler          Dismissal     \r\n    _______    ___________________\r\n    \"Ben\"      \"hit wicket\"       \r\n    \"Matt\"     \"lbw\"              \r\n    \"Renee\"    \"bowled\"           \r\n    \"Renee\"    \"lbw\"              \r\n    \"Ben\"      \"lbw\"              \r\n    \"Ned\"      \"stumped\"          \r\n    \"Ben\"      \"bowled\"           \r\n    \"Ned\"      \"caught and bowled\"\r\n    \r\nwwprop = wicketwicketprop(wickets,2,0.5)\r\nwwprop =\r\n  2×3 table\r\n    Bowler     Wickets    WWProp \r\n    _______    _______    _______\r\n    \"Renee\"       2             1\r\n    \"Ben\"         3       0.66667","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1434.47px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 717.233px; transform-origin: 407px 717.233px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 84px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42px; text-align: left; transform-origin: 384px 42px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 375px 8px; transform-origin: 375px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWhich bowlers threaten your stumps the most? Given a table of all wickets taken during some particular set of matches and two thresholds, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\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: 171px 8px; transform-origin: 171px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return a table of the bowlers who have taken at least \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 119.5px 8px; transform-origin: 119.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e wickets with a proportional of at least \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\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: 346.5px 8px; transform-origin: 346.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e of those wickets being either bowled or LBW. The table returned should be sorted in descending order of this proportion. If bowlers share the same proportion, they should be ordered in descending order of total wickets.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.75px; text-align: left; transform-origin: 384px 31.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 123px 8px; transform-origin: 123px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe input table will have two 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 169.5px 8px; transform-origin: 169.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Both are string vectors. The first is the names of the bowlers, the second is the type of wicket, which will be from the set: \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"stumped\".\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.75px; text-align: left; transform-origin: 384px 31.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 145.5px 8px; transform-origin: 145.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe output table should have three 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28px 8px; transform-origin: 28px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003eWickets\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eWWProp\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 120px 8px; transform-origin: 120px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. The first is the names of the bowlers (string), the second is the number of wickets taken by each bowler (double), and the third is the proportion of each bowler's wickets that were bowled or LBW.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 100px 8px; transform-origin: 100px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, with thresholds 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: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e = 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: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\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: 20px 8px; transform-origin: 20px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e = 0.5:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 686.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 343.25px; text-align: left; transform-origin: 384px 343.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 846px;height: 681px\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAADTcAAAqjCAYAAABByJRaAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAMsAAADLAAShkWtsAAP+lSURBVHhe7P2xyzXf2tj3nT8hRf4EG1y4EkRxpUbFgRjcOIQEF0YQFwEZRQlCpYQKh58a4YBJZIiQHatxhCHkBRchMs4RMVEfkuKNGzVREdRICFTkREvPO/vsZ37XzKxrzZo9a/b6fOALes9z79mzZ8+e2ffNuvT7ze8BAAAAAAAAAAAAAAAAPuz/9y8YbgIAAAAAAAAAAAAAAAA+znATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAA8JO/8nd+91N/9A/+WJI0Se4BkjRv7gGSJGmU1t9L+H6GmwAAAAAAAAB4+dN/8W///jf/5v9KkiRJkiRJkoboH/3jf/onf73kWxluAgAAAAAAAODFcJMkSZIkSZKkkTLc9P0MNwEAAAAAAADwYrhJkiRJkiRJ0kgZbvp+hpsAAAAAAAAAeDHcJEmSJEmSJGmkDDd9P8NNAAAAAAAAALz8pb/19361eODv/v3/1+//6B/8sSTpy/u3/4P/wj1AkibNPUCSJI1S9L3kn/yzf/4nf73kWxluAgAAAAAAAOAlGm6yeABgDu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQPww+9+97vf/+Y3v6mu/Dw8nXsAT/bb3/42vD5HlZ8FfuYeAD/4PeBaTz++ZX/K94hffvnlT/4X4Aq+l8zJcBMAAAAAAAAALxYPwA8WNTIj9wCezHATnOMeAD/4PeBaTz++Zajpff8MOsE1fC+Zk+EmAAAAAAAAAF4sHoAfLGpkRu4BPJnhJjjHPQB+8HvAtZ5+fKN9XCrfL5wP0IfvJXMy3AQAAAAAAADAi8UD8INFjczIPYAnM9wE57gHwA9+D7jWk49v7b4D5/leMifDTQAAAAAAAAC8WDwAP1jUyIzcA3gyw01wjnsA/OD3gGs9+fj+8ssv4T6+53yAPnwvmZPhJgAAAAAAAABeLB6AHyxqZEbuAXMp162ySLcM+pTK/7v0VIab4Bz3APjB7wHXeurxrd1voA/fS+ZkuAkAAAAAAACAF4sH4AeLGpmRe8C+6LO/9LRhmb3/8kB5LU+8phlugnPcA+AHvwdc66nHt+a/2vTkIXHq7H3f9P735XvJnAw3AQAAAAAAAPAy+uKBaAFJS2VBSqksPrEAhYhFjcxolHtAzeLRdVeruSZcLXtdKkX3uNohoKdd12pfV6n8LPAzvwfAD34PuNZTj2+0b+tq9zV67F5XHIPoeVp6v6aW/ey1ry2/D3ziXIme971PiJ53r6fe6ww3zclwEwAAAAAAAAAvsyxqjFoW5EBRFkZF58lWn1hIBVcb5R6Q/fyVrr5+1+zT1deBHos8M9so98UnKfsbvY6op702+AS/B/g9gB+y30Ouvv9/myce39p9rhU9dq8rjkH0PD0r19Qz+509T0pXX8drvkdffb5mvssvPZXhpjkZbgIAAAAAAADgZeZFje9Z9Ex2MdXVi5jgE0a6B0Sfs72uvm7XLCS8ekFl9JxHvRtxkWhPhpvgHL8H/Mj1Ab8HXOuJx7f398Do8XtdcQyi57miclxa9z/a3lFXqvmuefV358z33dKT72mGm+ZkuAkAAAAAAACAF4saf85CtXk9cdEdnDXSPSC7cK90pej51l29eDB6zr3WiytrFuaue9KCyMw58+SFnnAVvwf8nO928/J7wLWeeHyj/VqX2c/o8XtdcQyi57myltfQ8t31yvMler6oK0XPt9fVw1ZXMtw0J8NNAAAAAAAAALxY1PjrRlhMxeeV9z06H7ZynvANRroHtCxmvGrxXuZ6cJXsNam0vi61DIyVnsJwE5zj94Bf5/vdnLL3XOdJztOOb83+Zr9XRNvY64pjED3P1WVfR/ZcKV11vmT25ap9aPn96MkMN83JcBMAAAAAAAAALxY1xl21OIVxZRdSOUf4BqPdA6LP2l5XDaxkFhJeNWDVYzGj4aY/ZLgJfs3vAXG+483H7wHXetrxrfl+kd3HaBt7XXEMouf5RFcfqxG+i1+1D9nv8k//vmu4aU6GmwAAAAAAAAB4sahxO+bytEV30MNo94DsAr7SFaLn2eqqRYTRc+0VLapsGZAqPUXmfHn6Yk+4gt8DtmMufg+41pOOb+2+ZkXb2OuKYxA9z6fKaPn+eoURvmdGz7XXVUNWn2K4aU6GmwAAAAAAAAB4sahxOwuh5/KkRXfQy2j3gJbFjL0X8WWvBaXeWvYhuiaNcDyvZLgJzvF7wHauGXPxe8C1nnR8a747tXxXiraz1xXHIHqeT5U5ZtnzpTTC8bpC9Dx7PZ3hpjkZbgIAAAAAAADgxaLG/ZjHkxbdQS8j3gOiz9tevYdxWhZU9t6HmoW167ZkBoBKT7q2GW66Rjn/yvGqjefye8B+zMPvAdd60vGN9mddy/5F29nrimMQPc8ny7ym6PF7jfBdvPd7lt2Hb/hOZrhpToabAAAAAAAAAHj5xkWN7wtuo3/P1HuRDOMqi5Gic2CrKxacwaeNeA/IXrt7L+RrWczYex+i59hr716VubY97bqWOVd6v0ffLPsZ4Ln8HrCf3wPm4feAaz3l+NbuZ4toO3tdcQyi59mr5/W0lLmmtjxnTy3P3/uekd2Hb7hnGW6ak+EmAAAAAAAAAF6+bVHj1iKg7ELdpbKghDk8ZdEd9DTiPaDlet1TtP2aeoq2v9fR9aj8+9ECySde0zKLPt3P62U/gzyX3wP2c92YRzl3onNgqyfeM+/0lONbc60oP9Mi2tZeVxyD6Hn2ivah/G+t19RSrZbn6HnMou3X1FO0/b2+geGmORluAgAAAAAAAOBllkWNi8xC6CXmUM6d6P3fqufiKbjLqPeA6DO3V+tC07XsdeC9Xlr2oVY5Tuv7YPnfnno9M9x0jeyCYp7L7wHHMYfsvfep9827POX4RvuyrnXfom3tdcUxiJ5nr719KP/Wck2tfV3l56LH7zXC7wO1r+9I9rvYt3zPNdw0J8NNAAAAAAAAALzMtqixyC7C6bVIhrFlFzH1WrgEdxr1HpC9Tvda0JddSPher3tFdh9mvkdlzpNvWfT5CdlzkOfye8BxM19jZ+L3gGs94fjW7OOZ7xLR9va64hhEz7NXzT5Ej9sr87qix+/1Tb8PzHqvMtw0J8NNAAAAAAAAALzMuKgxu1jFosY51Cxoe++KBWfwaaPeA1oWFfYQbbe2Xgsqo23vNfO1KLPws9f7M4Ps54/n8nvAcX4PmIPfA671hONb853izH5F29vrimMQPc9eNfuQfW8z19S7fh/IDhat6yHa7l53fGauYLhpToabAAAAAAAAAHiZcVFjET12K4sa55BdmPUtC4iY28j3gOhzt9fZa3X2GhB1Vss+zMxw0zWyi4l5Lr8HHOf3gDn4PeBaox/f2v07I9reXlccg+h59qrdh+ixW2WuqdnzptTjuEXbzXR2H1pe97cw3DQnw00AAAAAAAAAvMy6qNGCaNayi4h6LJyCu418D8j+/5p+9lrdspBw3dlF8NmhktkX3buXXyN7HvJcfg84zrVjDn4PuNbox7fmvnf2O1e0zb2uOAbR8+xVuw9XXlOjbex19n3KfgeKOvveZffhm+5ThpvmZLgJAAAAAAAAgJdZFzVmFoxY1DiHcu5E7/9WVyw4g08b+R7QsrjwjB6LGc/eL6Jt7jX7dejKxbQzy34WeC6/Bxzn2jEHvwdca/TjG+3DurP7FG1zryuOQfQ8e9Xuw5XX1E//PpD5brlV2eczsvtw9vlGYrhpToabAAAAAAAAAHixqPE4ixrnUM6d6P3f6ooFZ/Bp3zbcdOZzGW2vpVbZa1BpdpnFn+7l9bKfPZ7L7wHHuXbMwe8B1xr5+Nbu21nRNve64hhEz7NX7T5ceU3NnjulM8cu2l5LZ0Tb2+ubGG6ak+EmAAAAAAAAAF4sajzOosY5ZBdOnVk0BaP4tntAuba3aFk4udWn9qH1eb6J4aZrZL4jlXguvwcc59oxB78HXGvk41tzPejxnSva7l5XHIPoefaq3Yerr6nRdvZqfb+y5+lere9f5liWvu0eZbhpToabAAAAAAAAAHixqPG4HouZGF92MVPrgiUYyej3gMzwSql1gV92IeFen9oH1yDDTVfJnos8l98DjvN7wBz8HnCtkY9v9PzreuxPtN29rjgG0fPsVbsPV19Ts99LSi1anmer1ntH9nef1ucZleGmORluAgAAAAAAAODFosbjvm3BCLFy7kTv/1ZXLDiDTxv9HtCyyLBFtJ3WWodoom3theGmq2Q/dzyX3wOO83vAHPwecK1Rj2/NfvX6/hBte68rjkH0PHvV7kPm+1jLNTV7/pRajl/mddTUItrOXt/GcNOcDDcBAAAAAAAA8DLrosbosVtdsbBorTxHWehTFtRsLaop/3v5mfKzn9inK2wtJh3h9ZR9iPZtq577fPTel97f/9GUfVpeQ7TPJcb0hAVk7+dUTdnzLfvZrykruw9P+0wt14HoOrf8b+Xfs9e39bb2Kj/7FO/X1K3XuByzluN2pGwzes6teqh9vb1f6+z8HnDcJ865zGe+/OxTPwdb15YRXk/Zh2jftuq5z0fvfen9/b9Ded5lP6N9W/Zvy53Hd8/eMV/qtS/Rtve64hhEz7NX7T7UHMelvfNkT7StvVqeJ9rOmbLvYfn5aDtbleP+bQw3zclwEwAAAAAAAAAvMy5qzC4aucrWArFMZRtXL5opZZ9jS7TtpR7K8Yi2vdfy2rLH5ewxOfv+t7z3a2dfc+bxZ/eVazxhAVn2c5Jd6Jf9HNRUPp8Z2WtX5vOUOX7ZY7fnzDWu9vp25Ws7c160HsfW47WUPe8W2fMv05HW5y7Hyn3lPL8HHHeVM9fIpdpr5buWa1uvz1q07aUeWq4ny2vLHpezx+Ts+9/y3meV7bcc0+j6/OnjW6N2n3qJtr3XFccgep69avcheuxWrbLnYvn5jJZz/air9yG7/Scw3DQnw00AAAAAAAAAvMy4qDG7aKS38vxnFzOuK9vMLICKtrFXj4UzR8e9xwKu7HEtP78ozx/9zFat+9v7/Y8WENY685qzr6F1H7nWExaQHV07ojJqt58559+vLTWibeyVceV+R1rer62OrhtXvbbstfG9lmOYeR01lfcgo+d7tm5LOca9Xrf7Szu/BxzXW3n+Kz7zmc9BtI29steUyNFx7/E5zh7X9+t1ef7oZ7Zq3d/e73/ZVo9jt3b0ftV0x/HNqHmNPc79RbT9va44BtHz7FWzD5lz5f2cyMqeQ6WMms9l+ZnsZyOjZh/e+0aGm+ZkuAkAAAAAAACAl9kWNWYXxfRc0FSeO7tgJVvt/rYsDjo6tkeOXnuPYx1td6/358wek5bjceX733L8Wl9zy+tgTE9ZQBadU3tlPg/R49eV7ZWif9uqVvZzmP2sZz6v5WdbZV9HTUf7c9Vry2z3vezxu+KYLZV9Wa7ZR7LndqbIVedK7evlD/wesF/2erunPHfrtaW22v1t+Qye/XwdvfYexzra7l7vz5k9Ji3H48r3v9e52vs8Xa7Nnzi+WdHzruu5H9H297riGETPs9fRPmTf17PnabTNvTLHMHr8urL/2decET1+q/LZ+kaGm+ZkuAkAAAAAAACAl5kWNWYXopR6aXnu1moXukSP3esTi5HOKPsXbXOr9XHKvkd759pa+dmeCwW3yi5yannNra+DMT1lAVn2vKv9LNR+BpbPe/RvW9VeM1s+hxmZY5e9hixarwtHHe3PFa+t9bXUbn/R+jzZas6X7P0z01r2fM+UfQ/we8BRvVx53q+r/RxEj93L7wE/t3eurZWf/cQ1/+w18MrzNPv+ZI5vi9rX2lO0/b2uOAbR8+y1tw8t3x3Oira5V+11q/Z8KD9X+7NLte9j9njWvranMdw0J8NNAAAAAAAAALx826LGsqhrWXRSKos+WhbelHotGGl9/jMtx2FPy361qn2u2sU/keyiwfX7W547+rmtavc1u92zZRY2fmrfzi625DpPWUCWvV7VnnO1211krjO992Ep64p9fpfZfraj/en92lpfS82237U+T2tH96vsOZhp7crXTp7fA7Yrj+vhys/XVstx2NOyX61qn+ton/dkry3r97c8d/RzW9Xua3a7ZyvHocWn9/OoM+dCjZpzcn2OnBU9x15XHIPoefYq+/BeOSat9/Eex7PmfVtXo3a7i+jftqp93dnj+q0MN83JcBMAAAAAAAAAL9+2qLFXrQvD1loW4PTsSPSYvVoXWUXb2qpVtK291spri35uq9pjET326mrP3+xrbq3HYjau8aQFZNG5tVeN6HHr3s/f7DW9RvS4rVo+S5nFktl7X3YhZraj/en52lqvh9ljdtf3gr171pX79O7K56m9J/MzvwfEZT/XW+76vC8diR6zV+vnLNrWVq2ibe21lr0H1B6L6LFX13L+Rtu5s6uv6dFzruu9D9Fz7HXFMYie5xP1uqZmP6elmuNY9i967HvvryF7ba8RPW6rXsdzRIab5mS4CQAAAAAAAIAXixrjemhZfNO7o4Uv2YU55eezss/RspCrx+vIvl+9FkpdVc3+feocbTlv+IwnLSDLfp6Ozrva83/9WYp+Zqujz2H2M3i0vUjmuGUWS37i+na0P71eW/Z9eC/znpx5nrPtvf7sPTTTu6vOmaPzhG1+D4jr4c7P+9LRZ6PH9+cj2edouc/1eB3Z96tmP6+65tWUOY537udWLedBrZr3uuVcPxI9z15XHIPoeT5RT9H296p5L6PHrXvfTs059N7Re5nd3hXn5ygMN83JcBMAAAAAAAAALxY1/roesgtUrmxv8UvLfmZlF8y1LNbJPkek9yKl8jqixx1VXkt5bNn+Uuu2jmRfc2tHx4r7PGkBWfZzUD5Le2rP/7XM9eboepZ9TS0y+3t0zBafunYc7U+v1xb9fE3Za1tmf98rj+txX9g6H1u2Vdsie87Uvua995Vjfg/4dT1kz/cr2/rcFy37mZW97u3t75bsc0Syx6L8/J7W62qv632pRvZ1f6qj43tGzflyxfNHz7PXCPtwtivu0S2fhz2121uLfmar8hx7sq/pmxlumpPhJgAAAAAAAABeLGqMKwtxziwoyi6yu7q915JdTJM9LtE2jsqKtrHV1iKr8rqin9/q6DhEjznqaOFTdh97b6+17DnD5zxtAVl0fu21p/bat5a5Zh4t6owes9XR53lL5n50tL+L6LHZynMd7dvR/vR4bZltvJe9rmXOm6Wj11/2Ibv/kZZ9q23R63Ozfs2c4/eAuHKOnfnukv1cXt3ea8l+/rPHJdrGUVnRNrbaur6U1xX9/FZHxyF6zFFH9/nsPh5tr4geN0LZ86xW7TG8QvQ8e11xDKLn+UTlXOz1erKfg9Kemut1dN3IXjv3ZO4ZW9ewb2G4aU6GmwAAAAAAAAB4sahxv5bFI9mFLuvKcy4LgJbObrO0JbtAqOxLrdb9LvtUK/scW9vOHoe9fWx53bWvObufe7LbiiqvNdr38r8vC7UY19MWkGUW/5XKebgl+vl10eOzn+8t2c9f7TViLXPMau552ffgvb33o7y+9bE92p+zr631tbS8F9F29jp67e8yryN6D8rrKdtYih631/tj1y3K/zt6bFTN8S2vY+98oo7fA/Z7P4drra9j2cpzlm2Uz8HS2W2WtpTtRz+/VeZz17rfNdeARfY5tradPQ57+9jyumtfc3Y/95w9r8rjS2WfSsv/nbneb1V7PLJqXnP5mStEz7XXFccgep5P1nJNjUTb3mvvWEY/vy46J8o2o5/d6uw+LF11fo7CcNOcDDcBAAAAAAAA8GJRY12ZxUWtC7pqFvtkF9G812tBTalW9NjaamWO994x7rlAKXsOZBcpZfZ1b9tnzqfyGveOwaLmZ7jPtw83bX3ma8/9rfM3+tmttj6D2c9fq8wx2zpe76LHHVWz3UU5Lss+Hz3uzGvLHv+lrXNiTzkHom1tlTlei2g7Wx3J7m+N6HFb8Tl+D6gr87nPXJfeq/nct163SnuvIfr5vWpFj62t1pn7wLvssd07ntlz4K7fA6Kfr6m8vr3XX2TvI+uOtt8qeq51dz73e1fsR/Q8d3T2tWXPr63PQdmP6OfXbYl+dqutfci+lm9nuGlOhpsAAAAAAAAAeLGosb6aRTi1C2TWZRf4ZBfNlT61oG/xiUVt2f3eWlRU9DoG2e3svS97om1ttSW7r0ut+8x4nraArOW6EqndzpbMNXjr85J5LXvXriM99nWR2dbS0Ta3lNfcc3/et9V67du67h/JHreW9zvzmo5eR+bcLNWIHrdV63Emz+8B9dWcl5nP4XvZcz57TSntXU+z+12zv9nryLorjvfetbXXMchuZ+992RNta6tIdj+Xtl73lpZztZR9nhq1r/kq0XPtdcUxiJ7nrs68vtr38r1I7XVqS+Y6t3X9yXxGWq8XT2K4aU6GmwAAAAAAAAB4saixvprFJC0LuFoX9vR+rujnt9pbHLho2b/3ej/H0fuXXSS1dSwzi5xKNa8zktnfrX3Nvualre3xPE9cQBadk3tF52v0c+v2PpvZz3kk+rmtznzmel4no8fsdbS9I0evu/W1Rf9+1Jn3INreVmeOWbS9qKP7To/zey163FZnzxvq+T2gvprzMnNNWmq9tvR+rujnt6r57tqyf+/1fo6j968cm+hxW20dy+z1s+Z1RjL7G+1rdj9Le+fPnk9+LvbUvObW96NG9Hx7XXEMoue5szOi7e0VHc+ac3Pv2lG2GT1mq0j0c1tdeX6OwnDTnAw3AQAAAAAAAPBiUWOuo4Vx0WP2OtrenuximtLegpjsIrcj0WOyHYkes9XRYqDs8dxacJZdwHdGtL2orX3tfQ7xPE9cQJb9jEXnbPRz67Y+N4voMVut9yH72Tsjc7z27knZe0Tpai2vLXv+lI7OhT3Z43bmGpt5rj3Zfa4RPe6oM8edOn4PyLV3jSyix+x1tL09vb/D9f7cR4/JdiR6zFZH19bs8dy6PmXvMWdE24uK9jX6ub2Ojt+elnN16/ieET3PuiuedxE93153HYNPdua8yl6zoueKfm7d0T5Gj9lq/Z5mPxszMNw0J8NNAAAAAAAAALx826LGvUVA5d/K4pSWhc3vbckuTimdlV3U03NR5t6xzu7XVj2f40j2/dvat+hntzqzqLWIthm1tSir5Zzde094nicuIDt73as9749k7iXrfci8hq3Pb60z+/kus53S2f2ukX1t2ddQOnvNy56vZ45b5pq+97qy+1yj5dgvfeJcmpXfA/JtyXz+ls7KflbLa98TPWarnteQrT55ncq+f1v7Fv3sVkfvx5Fom1Hra+gd52r2c7f33reoec3r49Rb9Jx79T4GRfQ8e23tQ/nfS+WYnf28t77O8rhoe3u9q93vI9FjtlqfY5ljd/Z68RSGm+ZkuAkAAAAAAACAl5kWNa61LsTZWliS3d56cUuraNt77cm8hr39j36+tS2ZRXI1xzq7QCo611oWWX2irXP27KIwnu+pC8iic3Ovd7XXuSOZ62XpXfTvW2Xua5HMtXJv4WT083t9Qua1tXT22BdX72Nre6/tzLm9JbvNqLKNHu8Jf+D3gHg7e21dJ7PbKz/fQ7TtvfZkXsPe/kc/39qWzLW15liXcyd67FbRuZbdxqdan7NPOFd7X+uj51jX+znXoufc64r9iZ5nr8w+ZM+rpTPnV7S9vd5fT801ZOt6/y77ut/1vo59A8NNczLcBAAAAAAAAMDLzIsai/Lz0XaOimQWp5R6yS6o2TtG2eMRaV3YtNXW/kY/u1WN7GuP9qv3a+9ZJPuaaxZ48SxPXUCWvd6+LwiM/n1d7QLC6LFbLXpcZzMyx2rvMx79/FafulZkz4NMtefAkWjbI7T3+rL3shrZ8/6o6B5Mnt8D2s7LSPZ61Ev287p3jLLHI5Ldn6O29jf62a1qZF97tF+9X3vP3vU8ZzIyn5Fez1nUvrdXi55zr57HYBE9z17Zfag91utaZc/l8vOL6N/Xvf/8luxrfj+m0b9vNQvDTXMy3AQAAAAAAADAy+yLGouWRTjRQpfMgq2eC7/PLKiJZBYJRduqPQ61Pxcd68w+1h7rHscxs1+fLpJ9zdF7wbM9dQFZ9rO2XAdqz/no8x2pvY6Vls9PZt97fOYy+7h1vRz1WpF5bZm2jkOLaPsjtPceZc7RUq3sdmuq/awS83tA/vpWij4/Pa61LbL7f3SMMp/TaFu1x6H256JjndnH2mPd4zhecY3r1bvMuVrq5ey51armeaPzrLfoeffqeQwW0fPs1bIP2c9SqfW1Zj9z79eD6N/X1Yoeu9VyrmX2vfY69g0MN83JcBMAAAAAAAAALxY1/pBd5BUtMIl+bqueC1SyC4iOFm9lt7cW/UxU2Y/aRT1rmferVvZ1R+da9jz6ZNH+9j53eJ4nLyCLztG9itZrzpba7ZWW637mMdHnNitzXdq6N2X2ufQpV11zexz3RbT9Edq7nl/5fkePP9vea2Gf3wN+yF5Lomtl9HNbbV1rW/T+Lpfd3lr0M1FlP2qvNWuZ96tW9nVH59pV96Qeve9v9O9b9by+Zo5xdHxbRdtf1/P5tkTPu9cV+xQ9z16t+5D9LLSeZ5lzaqlovfZsqd3eUpE5Rj0/h6Mz3DQnw00AAAAAAAAAvFjU+EN2QUq0KDH6ua16L1CJnmOrmufOLLZ5P+aZ41jULkhav6/Rz0RF79OW7OKo6FzLLuT6ZNH+9njNPNuTF5BlP2+116fM9Tn7GSqi/32rHjLHaeuambm2lz7lymtuj+td9vz4ZFvvdXHl+33VMdl7PWzze8AP2XM+Ot+in9sqc5+pET3HVjXPnbm2vh/zzHEsaq8H6/c1+pmozHUhe22KzrXMcft07/sb/ftWd52r0fFtUfu+fkL0vHv1OgbvoufZq3Ufao/7e62ibe1V9q3ms3r19SP637eaieGmORluAgAAAAAAAODFosY/iLa311r0M1uNvqgxs+DmfXvRv0e1PGZRHhv9e1TmfGhZlLT2lEWNix6vmWd78gKyzLWgVPv5zJ7n0Ta2ylwjaq7VNTLPubWQM3usP+Xqa+5Z2WvsJ9t6r4ur3+9yXK5473p9Zmbi94A/iLa311r0M1v1Plej59iq5rkz16737UX/HtXymEV5bPTvUZnzIXu9jrZ99T3pTO/7G/37Vnedq5n3bk/N+dL7NW6JnnuvXsfgXfQ8e7XuQ3lctL29WmWuCaXaz2n2vIi2sVXmWrH3fe0bGW6ak+EmAAAAAAAAAF4savyDaHt7rUU/s9VdC8VKtc8dPXarIrOw6F3t45b3tnYxUHYhUHYRVnSuZRYqfbpof3u8Zp7t6QvIovP0bFlXfe57fd4y+7d13cxc30ufcvU1d+t41MpeYz/Z3mv71Pt9xfFxn8rxe8AfRNvbay36ma1qv4vXip5jq9rnjh67VZG5bryrfdzy3tZe97PX7+z1KDrXrr4nnel9f6N/36rnuZo5xtHxbRFte12v5zoSPfdeV+xX9Dx7ndmHaHt7tT5XeVy0vbNlZa6BmXp+Bp/AcNOcDDcBAAAAAAAA8GJR4x9E29tr/VzRz2zVe5FK9Bxb1T53ZoFOORatiw1rFyQt+x39W1T2GGcXRkXnWnZRY/n5sp1PFCn/e7RfW21th+d6+gKyKxYSZ2WulZl6yRyj9fV5kX2Nn3LF+79u65jUyF5jS8s1++r2fPr9LvsTbbelM+/XjPwe8AfR9vZaP1f0M1tlv6MeiZ5jq9rnzlwHyrGovR6vP6O1n/9lv6N/i8oe4+x1KDrXsvek8vNlO5/oXbQvW/W8ppb9iJ4jar3PLWqer/dncU/0/Hv1OAZr0fPsdWYfou3t9cnnOqrlvK8531qajeGmORluAgAAAAAAAODFosY/iLa31/q5sgvaesksPixljlH0+KjMa48WkUU/F1X7PJ9YkBQdx+x78ckFdZEer5lne/oCsuxn7qjWz2S0rTP1vDZkrs9b185RrxXZ1xb97zWdeT3R9vYaQfZz1Us5zj0+0+5V9fwe8AfR9vZaP1f2GtNL9jOTOUbR46Myrz26v0U/F1X7POXnsspxiba1VXQcs+9FdCw+IfN+tRzLLZnjc+azvIi2u67H89SKnn+vK/Ytep69zuxDtL29zjxX9rN3VOtnM9rWmXp+/p7CcNOcDDcBAAAAAAAA8GJR4w/lcdH29lo/V3ZRzZkFPO8yC9RKGb0XCpUiLcd/r5YFSdl9iN6/7PFqXTjVS4/XzLN9wwKy6FxtrfUcz16Hj+r5WeuxiDl7rfjUtS372rKv473W9yTa1l4jyN7LrpDdh/d6fn6+nd8Dfmi5NqyfK3vO9jpPs/efjDOfw60iLcd/r5Z7UHYfovcve7xa9rOHK8+ZPdG2tzr7+ah9Pz8pev69zh6DSPQ8e53Zh2h7e515rtr3u7ZWva+Zd10j7mS4aU6GmwAAAAAAAAB4sajxh5YFMevnumtBW7TtvTJ6LxTaWjhfRD/fWovsa43Otew29o7HJ/R4zTyb4aafa9V7MWNPmUXMPa/Rn9Dy2jKPWddyDYy2s9cI19ns+Xylls9Wr+9XM/B7wA/Z70Ol9XNlz9Ve52m07b0yWo7LXj3vMXu1yL7W6FzLbmPveFzpjnO1x/HNqHmNvT6DtaJ92OvsMYhEz7NX6z5kz7HSWdE2W2vV8rr3mpHhpjkZbgIAAAAAAADgxaLGH3oswMku2iqdld3vlkV0PRfp7L0/vZ6nbKdF9v2LXssd58AZPV4zz/YNC8jODKu813rtWETbbOnsfqxljs/ePSJ7nD9xvWh9bdnXsrR3fLZk72293/8W2X2+WnZ/Wt6nWfk94IfsOVZau+M74Cc+Gy3HZqu996fX85TttMi+f9FrueMcaPGEc3XvXKkRbXPd2efIivZhryv2L3qevVr3oeV71lm9riFnvkO0fLa2mvW7jOGmORluAgAAAAAAAODFosb2RSiR6Of2+vTimZYFf70W6Ry91l7P0yr7/OXnI9HP7rW1nRrlsWcfH+3TVmeeizF9wwKyXosZz57fLQs5o3p/zjL7tXedzh7nM/e3Wq2vLXvtey/7urLP1XKfXpTnWjoj+15/QvS8W33i3PsWfg9ovx5Eop/b68y52rLffg/Yln3+8vOR6Gf32tpOjfLY1sdH+7LXp8/Vs8cl2ua6T4v2Ya8zx2BL9Dx7texDy/vd477d8rxRZ76HFdE2Wzq7H09luGlOhpsAAAAAAAAAeLGosW1B+tZik+yC4FLrwqWW/W7V8lzrahboRI/L9MmFd1vvW/YcaF24FO1vef1le6Wa86rXa+a5vmUBWXS+Zjsr+9nfqrfM9XvvGpq9XpTOXJNrnHltLa9nKXstjLaxV+u1dn08yv/9fk+o3W72XM7I7Me7M+812/we0PYdt3xGIi33gZZ9Llr2u1XLc63bOmbvosdlOvPZL+9DtM2ttt637DlQc1wi0f6W11+2Vzo6r1re09ZzNdrWUa3PVdS8B63H/YxoP/Y6cwy2RM+zV8s+tJxbZz6776JtZzur5vyraVaGm+ZkuAkAAAAAAACAl5kXNZafjbZR09bztG4zu3Do04uGzhyrpRpnFwOdkX2NPc+B7PtfZM6BrQV8vV4zz/UtC8haronvjbKo8orFtpljc3QcWq7RrdeN8rij/Tn72s7cczKvK7OfpZbzoOf1PHtcMpZjkT0vzr7XxPweEG/nqK3nad3mlZ+HpTOfizPHaqnGmWty6Yzsa+x5DmTf/yJzDkT3lNZjndnX8rMt52qp5Zgsou2tu0O0H3udOQZboufZ61Pvd8v3nsjZa8iZ6+SiHIdo25l67MdTGW6ak+EmAAAAAAAAAF5mW9RY/v3sopfSnujnayqLWI72/8y+n100FG2zttoFOmcWA51dBJR97r33Kvr5vbL7Xn4+2s5WW+99z9fMM33LArKz1/Wz18dF9rO57orPWGafjq5F2WvGUus17uhxPV5bZhvrat+vluOWORdatr8n+3mqtT7Wmdf4/rijen2eZ+D3gLb2RD9fU/l8HO3/mX0/+7mItlnb1vV3reVatlT7HFuyz733XkU/v1d239fX0qO23vvoZ2uq2d8z72Xp6LOwpeZ577pHRPuyVznOZV/PtD6O0fPsdfQ+lH8vz5M9J9f1UvP+71VeSw/RtjP12o8nMtw0J8NNAAAAAAAAALx826LGsrAmKvrZ1o4Wm/RYVFMq21kWDJXOvI7y2LPOvK6jY/YuenxNZf/OyL6+vedrOVa171HLebCl52vmmb5pAVl0ztbW69w+e7+5Qmafaq5DZ17jcm/bUv79/eeP9qfXa4t+vqaa47WIHn9UzXmZvY6Xju7J6/fhqBpb2zzalyJ7zrlX1fN7QL6jc7blM/le2X6pbKe0/N9nXkd57FlnXtfRMXsXPb6ms5/77Ovbe76WY1X7HrWcB1vK+xL9fG1lX97P1dLZbS7tHd890bbWtW77rGhfrm792Yt+5qjyPq+Lfq61sr2eoueorZezn4OZGW6ak+EmAAAAAAAAAF6+bVHjJ6rRe9HP2Xot4oq2fVR2wVLLYqAei6LKMYq2vdXRMY0eU9OySHCtdZHUelHbu96vmef5pgVkZ667vZxZzLj3WT0jc1xqrqXZ68ZW5bmWon8vHe3P3mPX7W3rzGs62sdF63OU7UfX3nK+ZF7/e0ey5/GRmtdennP9OltfI/X8HpCvRutn86qia0iLaNtH1V4jF9nrTyn7HJHsNfromEaPqSm6FhYtx6VUHrcneswItZyzte/hXaJ9ubr1+x/9zN311nr97XEdWWSvJ+/13I8nMtw0J8NNAAAAAAAAALxY1JirdqHVmQUtveu5QKZlYd3Rorq1lmOXfY5I9nmPzoURzoGj9773a+Z5vmkBWcv1qdTj+vEueo6arvp8ZRZ51t4vWo91tqP96fnazrym2nMos79XVbOv2WNxJHrMVdW+F/zg94BctdfpEb4DLtVe12u0XCezn8mWY9fjc5993qNzYYRzoOa9b3lPP9HR8Y3UvJYe50qraH+ubv16o5+5syvej9Zzuue1soieo6Y7z9ERGG6ak+EmAAAAAAAAAF4saqwvu+DlKYvaMlpeU4toO3v1kH1tNYvuWhdX9epoH694zTzLty0gi87bo3qf1+W6Gz3PUVfJ7E/mntH6OjMd7U/v13bmNdWcR9lrbu9qjkGRvXftOXNMWyLH7wH11X5+Fnd/3kvZfT7S8ppaRNvZq4fsa6u55o/+e8Di09fpmmr3/V20nXUt2+0l2p+rWw/KRD9zV72vT4vsZ3mp91BR6+d/doab5mS4CQAAAAAAAIAXixrral18c/disStkFuq0HrfMc/RaiJRdCDX6gsGa43LVa+Y5vm0BWcvnrbeWxYy9rmORzDHJXrOvvr4d7c8Vry16bG0118jsdbdXmfc2ew5v+fRrvfJz9K38HlBX5vPzLnONuqIrZK4Prcct8xy9PvdXfSe+6xzIHpe7z9V1tcd3Ufv+3Snan6tbnwfRz9xR67WhVvScR/XW8h3o6uPyBIab5mS4CQAAAAAAAIAXixqPO7vI5K7FYtlFYbUyC3VaFxxmnqOX7AKkzPH99DlQe85e+Zp5hm9bQJZZEF26ahFh9Fx7XfnZylx/Wo7Hlde3o/254rVlr4vvfeI5WsucY9nP0Z5PvdbaY8/P/B5w3NlzK3Od6tlV95XMZ9rvAT98+hxoOWezr//qMse3qLlvtZ6PvUT7dHXr1xz9zKf7xP06+z3mqn2Knmuvu8/RERhumpPhJgAAAAAAAABeLGrcL7uwassnF4x9YsFQ7SK9M6Ltrev5WrPvUfbcqD1mZ8ssirr6NTO+b1xAFp27W121iDD7eb9SZl9ar6lXXd+O9ueq13bmnl37PGeeI1PmdS+yi4KPlNeaea+ytbxGfvB7wH69vvd86vNe+sTnofbzfEa0vXU9X2v2PcqeG1deA987873myvM0e1/JHt9oG+vuFu3T1a3Ph+hnPtlV37vXsufyVfsVPddeGG6aleEmAAAAAAAAAF4saowrC1yyi6qOlO1dvbBtpAVDZxccltcSbfe9nrKLoFrOj5rX1Fo53tl9+sRrZmzfuIAsc5296pzOfNavvm5njseZ6/YV17ej/bnytWW2va72PS3n35nnOSr7mhfZ97LWFa+19TXyg98D4spnoPf94erPe+nq+8mivJbo+d87+9msuQ71VPOa3ms5P7LX1kzlePc6Z3ufp2W/rjy+Ncf1U5+NPdF+Xd36dUc/84nuuFdH+7HVVTKf+TuO0YgMN83JcBMAAAAAAAAALxY1/twnFj5lF3fVNOKCobOOjlPv13zlort35XG9Fw22nrefes2M6xsXkGUWEl4per6oqz9XmevN2etq7+vb0f5c/drOvJbM+5q9Fh9V9vvMeZX5DJUyer3Ws6+RH/we8HN+D6gX7cd7Zx0dp96vOfu+tF5/yuPO3Fuirjhvs/eBqPf36MrjGz1+Xev71VO0X1e3Pjein7mq8v5/4pq6pfYcvvL6mTnv7zxWIzHcNCfDTQAAAAAAAAC8zLqocVlsU7prsVN53tpFN1F3LxjaW6zTa5FQtO2l3u9bZvFR6ezzj/D+f/o1M55vXEBWe15fff0sn9HoedddrXY/Sr2u3T2ubzWufm3Za+S67DXz7POV15h9zkj2vWvR+lrLa7z6szsTvwf4PaDV3me45Xobiba91Pt9y16Tzj7/U97/ln0s+7Y+Plcd39rtjiDar6tbnyPRz5ytvN9L5fk+cV7WqD03yn5fKXrOKH4w3DQnw00AAAAAAAAAvFg8MIay+GZZDFQW2KwXu4y4YKhY7+dSr30s24m2f/UipE9b3v/ovV96Pwegl2+9B0SfoXW1C2dbbV2/3pvh87x3f1uua65tPyvH7Oi+8H7cnnzs3s+Po9dJf34PGMPedXL9ORjps7Dez6Ve+1i2E22/HItvcnS9L72fA3dZ9jHaz/JvpfJaPqk853pf1t15zLhXdD6su/r8qDlHy2eKH3wvmZPhJgAAAAAAAABeLB4AmJd7AMC83AOAJ4sGRdZ9euAKaOd7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4APFUZWoqGmdYBz+F7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4APNUvv/wSDjO9V34GeA7fS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cA4KmiYaZ1wLP4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAE/kv9oE38n3kjkZbgIAAAAAAADgxeIBgHm5BwDMyz0AeKJomGnd7373uz/5aeApfC+Zk+EmAAAAAAAAAF4sHgCYl3sAwLzcA4CnKUNL0TDTOuB5fC+Zk+EmAAAAAAAAAF4sHgCYl3sAwLzcA4Cn+eWXX8JhpvfKzwDP43vJnAw3AQAAAAAAAPBi8QDAvNwDAOblHgA8TTTMtK78152A5/G9ZE6GmwAAAAAAAAB4sXgAYF7uAQDzcg8AnqQMLUXDTOuAZ/K9ZE6GmwAAAAAAAAB4sXgAYF7uAQDzcg8AnuaXX375/W9/+9twqKlU/h14Jt9L5mS4CQAAAAAAAIAXiwcA5uUeADAv9wDgyaJBJ+C5fC+Zk+EmAAAAAAAAAF4sHgCYl3sAwLzcA4BvUQadfve73/3J/wU8ke8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMDL/+Sv/x9/tXjg3/wr/4ff/1t/7e9Kkr68f+V/+r/99T3gr/7n4c9Kkr4r9wBJkjRK/8q/9+vvJYabvp/hJgAAAAAAAABe/vRf/Nu/WjwgSZIkSZIkSXf1j/7xP/2Tv17yrQw3AQAAAAAAAPBiuEmSJEmSJEnSSBlu+n6GmwAAAAAAAAB4MdwkSZIkSZIkaaQMN30/w00AAAAAAAAAvBhukiRJkiRJkjRShpu+n+EmAAAAAAAAAF4MN0mSJEmSJEkaKcNN389wEwAAAAAAAAAvhpskSZIkSZIkjZThpu9nuAkAAAAAAACAF8NNkiRJkiRJkkbKcNP3+9rhpr/yd373U3/0D/5YkqTu/Wf/1f/jp/tN+b+jn5MkSZIk/br336dKAACMwXCTJEmSJEmSpJEy3PT9vnK4qSyEiE5oSZIkSZIkSeNmwAkAYAz/y//d/+VX39X+nf/o7//+3/2b/40k6cv71//C33EPkKRJcw+QJEmj9K//hf/sV99L/sk/++d/8tdLvpXhJkmSJEmSJElDZLgJAGAMf+lv/b1ffVf7u//Pf/77P/pvfy9J+vL+7b/hHiBJs+YeIEmSRin6XmK46fsZbpIkSZIkSZI0RIabAADGYLhJkubNwnZJmjf3AEmSNEqGm+ZkuEmSJEmSJEnSEBluAgAYg+EmSZo3C9slad7cAyRJ0igZbprTVw43/dE/+ONfncxlYUT53yVJ6tm/+u/9zZ/uN+X/jn5OkiRJkvRz0f8HReV/BwDgfoabJGneLGyXpHlzD5AkSaNkuGlO0ww3WRgBwBX+e//zv/3T/ab83wAAABzzNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHn7xoXtf/0//92/7M/95V9+/6f+zG9//5vf/OZXlf+9VH4m2oYkzdC3Djdl7gHlZ6NtSJKkz2a4aU6Gm+DL/fa38S9lUeVngRzDTQDX+93vfhd+d9mq/DwAMD5/wwMAGNfow01lwWH0d6GtlsWKy4JFC9clabtvWthervfRfaE29wtJs/VN94DyO0P5/h9d32sqj422K0mSPpPhpjkZboIvZ7gJrmW4CeB6hpsA4Dv5Gx4AwLi+bbhpr2XgKXoeSZqxb1jY3vM+UbLAXdIsuQf8unIPKNuMnkuSJF2X4aY5GW6CL2e4Ca5luAngeoabAOA7+RseAMC4Zhpues/idUl6/sL2ci2PrvE9srhd0rfnHrCd3xUkSfpshpvmZLgJvpzhJriW4SaA6xluAoDv5G94AADjmnW4acl/yUnSzD11YfvV94Yli9slfXPuAfu5B0iS9LkMN83JcBN8OcNNcC3DTQDXM9wEAN/J3/AAAMY1+3BTycJFSbP2xIXtn1rUvuQeIelbcw+oqzxntC+SJKlfhpvmZLgJvpzhJriW4ab7/fLLL//y+lUq/++SwYbv4f2lMNwEAN/J3/AAAMZluOlHFq9LmrEnLmwv1+voOr5XecxS9O9HuUdI+saedg+4Y7BpyYCTJEnXZrhpToab4MuVxeDRL1hR5WeBHMNN9ynDC3vXuDIEw3N5f3lnuAkAvpO/4QEAjMtw0x+yeF3SbD1tYfuf+8u/hNfvqPKze4vRy79nhp0sbJf0bT3tHpAdUN26D5T/LXsP8HuCJEnXZrhpToabblAW40ZfeFvyXzHgiOEmuNbow03RZ721co1YWu49d6kddHBdeybvL2uGmwDgOxluAgAY19OHm8rCxK3HWbgoSfs9aWH70f1gKXsdv2q7kjR6T7oHlO/00bU5qlzXo21EZX5XcB+QJOm6DDfNyXDTDXoON0UZdOJdWfgdnSdRFolD3kzDTXstA0+fEu3DVu6JzxO9j1t5f+dguAkAvpPhJgCAcX3rcFNU7aLIzIJISXpy37aw/cz1u2Zxe+aeI0mj95R7wCeGUGsHnPyeIEnSNRlumpPhphtcPdz0noWdGG6Caxlu+nVXX0sy17UlnsP7S8RwEwB8J8NNAADjmmm4qVS2d7R40f+v7JJm6ZsWtvdYcO7+IGmmnnIPqBlu7XF9/tTzSJKkX2e4aU6Gm27wyeGmkoGVuWUWiTtXIM9w03blmnLFgEH0XEcZdHiO6P07yvv7/Qw3AcB3MtwEADCu2YablqJtvRc9RpK+rW9Z2N5rsXnNEFX0OEl6Yk+5B0TX4vd6DhyVbUXP8V7r7x+SJGk7w01zMtx0g08PN5UMrczLcBNcy3DTcT2vLdkBh6Vy72V83l+2GG4CgO9kuAkAYFyzDjddtV1JelJPWdh+tNi8x3+1aenoudwfJH1LT7gHHA23lqLHnenoPtBzmEqSJP3IcNOcDDfd4I7hppLBlTkZboJrGW6qr8ewgeGX7+b9ZYvhJgD4ToabAADGNetwU2lv4aJFi5Jm6Fv+qx3RY84UPceS+4Okb+kJ94DoOvxez+HWpaPfP0rR4yRJUnuGm+ZkuOkGdw03lSz+nY/hJriW4aZcPe5D0XaPcv97juj9O8r7+/0MNwHAdzLcBAAwrpmHm47+f4KPHiNJ39QTFrZfeR/YyvCrpBka/R5w55DR3n2gdMVQlSRJM2e4aU6Gm25w53BTyWLPuRhugmsZbsp39loTbfMoniN6/47i+xluAoDvZLgJAGBcMw83HW07eowkfVNPGG4q1/myyHyrKxaYl+1G94Wl6DGS9LSePtx0xXDr0tH/JwhXPrckSTNmuGlOhptucPdwk/+6wVwMN8G1DDe1deZ6kx1ycG17Fu8vEcNNAPCdDDcBAIxr5uGmUrTNpejnJembesJw0x0dLWqPHiNJT2v0e8DRtfiK4db3oudcMtwkSVLfDDfNyXDTDVqGm8rC3aXo37Mxj8w5Y4E45Bluau/MNaf22ua69kzeX9YMNwHAdzLcBAAwLsNN8XZLVy+YlKS7M9wUZ7hJ0gyNfg+4+7+it/f85d+ix0iSpLYMN83JcNMNssNNWwt3y6LN2sW/6yz4nEfmHLFIHPK+bbip3KPeK9eFpejnz1aeo1V5bLTNJde0Z/P+8s5wEwB8J8NNAADjMtwUb7dkuEnSt2e4Kc5wk6QZGv0eUK7Fe0WP6ZnhJkmSPpfhpjkZbrrB0WLddUeLd7OLPUtnFpPzLJmBBAvFIe/bhptqBgLKPSRzbTnqzBBCeez6vlr2zX3uO3h/WWS/7565rgAAn2O4CQBgXIab4u2WDDdJ+vYMN8WVe0t0XyhZ0C7pW3IP2M9wkyRJn8tw05wMN91gvUj3qJqBk+yCzxJzyAwg1JxrwM9mHG56V+5pmetMlGsPcMRwEwB8J8NNAADjmnm46Wjb0WMk6ZuysD0uuicsfeK/FiJJn8g9YL/oHrDkXiBJUt8MN83JcNMNrhhuKqLH7sUcDDfBtWYfblpk723rXH+APYabAOA7GW4CABiX4aZ4u6XoMZL0TVnY/uuO7g3l36PHSdLTcg/YL7oHLBlukiSpb4ab5mS46QZXDTdlt8scDDfBtQw3/SxzzVlnGAHYYrgJAL6T4SYAgHHNPNxUHhtts2TBoqQZsrD91+3dG0rRYyTpibkHbGfQVZKkz2a4aU6Gm25w1XCTRZ9EDDfBtQw3/VrrgJNrELDF91wA+E6GmwAAxjXzcFO0vSULFiXNkIXtP3d0z/lTf+a34eMk6Ym5B2wX3QPe87uCJEl9M9w0J8NNN7hquKmIHr+VRZ9zMNwE1zLcFGsdcHJvAiKGmwDgOxluAgAY16zDTUfbjR7Tu7IPZf/LYvlStB/lfy8/M8oCyr39HW1fJR1nYfsfOrovlFzfJH1T7gFxNfeD6HGSJKk9w01zMtx0A8NNfJLhJriW4aZtLQNOrkNAxHATAHwnw00AAOOacbjpaJtXLl4v294aZKqpx/DQ3vOXf1v/fOs+t7w3kj6bhe0/OrovlKLroyQ9OfeAuKPvvb7jSpLUP8NNczLcdAPDTXyS4Sa4luGmbdlhhCWANcNNAPCdDDcBAIxrtuGmo+1duXi9ZUBoqzOLKvf2Y/36e+zz2WEsSdc188L2cm0q19LouhXlWibp2zLc9OuOflcouR9IktQ/w01zMtx0g1GGm5iD4Sa4luGmfdl7Xqk8BuCd4SYA+E6GmwAAxjXLcFPtIvYrFivWLJJsrWV/a4ebegw2LV1xXCWdb5aF7cs9oNRybXMNk/SNGW76uZrv7LW/e0iSpFyGm+ZkuOkGhpv4JMNNcC3DTcei59nLtQhYM9wEAN/JcBMAwLi+dbipPG5ZzB49LuqKxes9B4S2yu53zXDTFft9xfGVdK5ZFrafuaa5dkn61gw3/VzNvcI9QZKkazLcNCfDTTe4argps91PLRwv+1Qqz1eK9mP5macuQt067qO8nui4b9XzvCivf3nvo+cqlX9bzoHRbO3/sr8j7jP3MNx0bO86sNVIjq5n5X9frg0jWPZ1vb/LPp55j7e2XSr/dnb7dxjl/R3xPNvbp0/vT9mX9T7s9bTzEABmZbgJAGBcTx9u6tUVCxWvGBDaKrP/e/tV/i0zEJapbDvaH0n3ZbhpP4vYJX1zhpv+UM19wn+1SZKk6zLcNCfDTTcoi0CjL7tblYWjNaKFp1tduRB1axFsbeXx2QWp2QWvpV6LXqNtL/WQPV9K768t817UnmtbyvO27O9Sef6z52b2XFifB5nHrx/LnAw3HWu5LuxdC85+zmuVx7Xez1quZWeu1y37WruPLdsuP3/muEfb3OrM82Rf19LZe9W7UfZjUfanbDd6vr3Ka1jr+V723BYAMA7DTQAA4zLcdM1Cxex+L0NF72UX49cuwm9d5F8qj30v+pm9DApIY2W4Ka78fLQdSfqmDDf9qPZ7e/RYSZLUJ8NNczLcdIPsgtFosWgkeuxWVyyGbV2Yu1dmYWr0+L16HIOj97LHwtrscV2fL5nH155ra+V1tiyE3qv1/Tmz+Dl7rHu8vzyf4aY60XPttXcNOPM5r9Xrmpa5rrZer7PXrvfKY/eOz5ltl1qO/be+v5FR9mPRY3/e96Xne/mJ8wIA+DzDTQAA4zLc9IfKYvZewzfR9qNqBqvKPtUszK9djN+yyP/ouGTep+jxku7JcFNczXVPkp6e4ab677DuCZIkXZvhpjkZbrpBduFozYLV7OLjnnotzN2qvLaaBarZRa+lswtfj457OTZnRdvda/2cmXOj5lxbaznutdW+9++y+7NsP3OclqAw3FQn+xnbux61fs5rtVwPjqq5H2Sedzk+vfZ1fYzK/91r29l74be+v2uj7EfR8/0ulW2VbfZ8L3tuCwAYh+EmAIBxGW76dbVDQlvVLKJveY4yCBVt672ahZeZRf7ZhZw127Y4VBonw037tVyrJekpzT7cVPt7hu+ukiRdn+GmORluukFZeBp96d2qLBDdk12M2rrwNXLFwtytahapRo/b6+yxiLa57owe50rmPTo619ay+9daZoFyy+Ln1vMYCsNNdVquF1taPue1rryvHe1H9nrde1/f9y/69zNl3oNvfX/fjbIfRfZ4Z8p+7vf2Pbuf2eMAANzDcBMAwLgMN23XspCxZn/PLJav2X70uPdqF/m3LuQ82n7Nf61K0mcy3HScASdJ39rsw0019wb3AEmSPpPhpjkZbrpBywLvskBzqTy+1LowtoeyH1cuzN2qvO49Lce2Ve1znVlcmz3G0fHJbKP8bK1Pv/+1x7H8XPT43mWOFd/NcFOdntfn7Od8hOvH0f2r+PR1NerK/aj1re/vYpT9KK7cl5b23svsvu5tCwAYh+EmAIBxGW7aLzvgc7RIsscCyaP/gtPRPl+9kPPoPTPcJI3TrAvby3WqXItqroelHtduSRqtmYebrv4+LEmSchlumpPhphu0LPDuVa+FntG2P9XRwt3oMXu1HpNoW1u1ira1VySzSL12YOeuc7jmvcoufm4tu4Cc72W4qU7LZ3NrX7Lbqn1N0WN7VHttHWG46cpqr5vf+v4uom30KLsf2eP8ifbey6vOCwDgXoabAADG9fThprI4vfzMVuXflwXstYvY15XtRPsWFT3+vegxLUXbXjoaHqo5DtHjMkXbfC96jKTPN/t/taNUrvEWuUuasVnvAeW7cnSdXxc9VpIkXZPhpjkZbrrBXYMhvYYxRlh8vbdgNXt8W45L9jlaFtj2eh2Z96tmYXR2cXHPRtq/lvOG72S4qV70fHtt7Uv2c17zmq68dtQe0xHur1dX41vf32KU/ShGPN/2XkP22GWPBwBwD8NNAADj+obhpuhxey3DTtH2toq2s+5ooWTLvm51dFz2BrKOXnuPBfxHxyJ6jKTPZ7jpD9XcF3pexyXp7ma8Bxx9h17a+y4tSZL6Z7hpToabbpAdWulRr0GMkRbCbi1azS5+LWVlj0PL8c8+x5bMdsrPHokeV1M5BuW9WSr/d8v5dHQsW97/lsrzQGG4qV70fHttfd6zn/Oa19RyXS/bXdq6ptU896Llmvi0ao5H+ZnosVvVbHOE97cYZT/Kz6+3MUJ7ryO7z9ljAgDcw3ATAMC4Zhxueu9oCGepZuDnaGF89JgzRc+xdGa4qcfifcNN0jMy3PRzNQNO0eMk6YnNdg8w2CRJ0rgZbpqT4aYblIWp0ZfgT1Seu9VoC2HL4t4t2WOcXQAbbeOorGgbW+0di8xC6r3tFC3nbtnm0fHN7GNpz6fOU4umWRhuqhc9315b96zs57zmNUWP22pve+/Xyew9N3stfK88tjxf2bdSy/V6r/dtl1r3teaYlO1Hj92q/PyR6HFb7W3v/bjWvJa19+c5apT9+GR7r/mK8wIAuJ/hJgCAcc0+3LRUs6D9aKFj9JilXvv53t4A0d7zfWII6+h9s2hUGiPDTb/uEwOgkjRCs90Domv6Otd4SZLuyXDTnAw33eB9QepdtSz47LHoulSeu7T839HP17b1Osr/Hv38VmU/arXuc+aYZ59jb9uZ96387J7oMXsdbe9dZj/33q/sex9Vth8d0/K/L/sJC8NN9aLn22vrs579nB+9psz2aq5rZXuZ698icx18b+/1tW5zae91ZN+HUu3xix671d7rLzLbq92/mp9bG2U/st8x1pXHL/fJ0vJ/l32Jfj5T2d6WzPEr7W0LABiH4SYAgHEZbvpDRwvay79Hjyt9cj+Xyjaj5yrt7avhJklLhpviouvW0t71VZKe1Ez3gKPvvyXXd0mS7stw05wMN93g7KLSXmUWxJ7Z5/LYPWXx6ZkFsVuin92rVvTY2mpljsfR+9hrW9lFxaWszL5uadnPpfL8NYuhLZjmneGmetHz7bV1/8h+zo9eU+Yed3RPOyNzDVyq2Z/ocTXt3RMWLft85Fvf31H2I3q+mso+9TzWUXvb731eAABjMNwEADAuw00/Fz3He9FjSnuDRktlwWTvoudZivaz1Pq4TIabpGdkuCnuE9dJSbq7We4BR9f0UvmZ6LGSJOkzGW6ak+GmG5xd+NmzmoXLRcvi5dptL7KLVpe2Fq9esQj2ykW7i+x+Hy2Azrx3e+9Z9hyoea1rmeO79bqzx28pe77CwnBTvej59ur1OT96TZlrz5XXiux1tlQj8/re2zr+71quuUe+9f0dYT9a3q/S0TFeazmXS3vP0/u8AADGYLgJAGBchpt+7mhIaev5aoabPl20n6W9BZ69FnYabpKekeGm7aJr11Lve48k3dEM94Cj76RLvptKknRvhpvmZLjpBq2LjK+qZvFn9Li9WhflZheulvYWX0c/v1XNIu7WxbpLvZ+j5jj32l7083u1qt3frX1tOYdKFkHTynBTnZbP5ta+ZLd19Jqy9+WrjlHmel2quacULce+VCt67F5HvvX9HWE/svtQat2PaFtH7T1X+bfoMVtd9T4CAH0ZbgIAGJfhpl8XPc/S1vBPzf+P8J9ua5Gm4SZJS4abtouuXUu9rpWSdGfffg84+j665HupJEn3Z7hpToabbtCysPTq9haAfnIhbNHyfFuy2zoSPSbbkegxW5XXd6THcFN2QXHNfm2pfc96Djed2V8w3FSn5bO5tS/ZbR29puy9orR1DTojO9yUea+ix++VeX3Z43e039/6/o6wH9Fz7HXm+bPvY2nvvex9XgAAYzDcBAAwLsNNv+5oUKnlMXe0tVDTcJOkJcNN233iWilJd/bt94Do+r3Of4lPkqQxMtw0J8NNN8gubt1bWFoWbpZaFsy+Vx6/pTx/9Jit9rZVK9ruXnsLWKOf32pvO2eP8VLP56iRef+2zrXsfu29xiOZ54qU545+dq8z+wuGm+r0/Gxmt3X0mlr2balcN4+2Xyt7v8248l7e+x7xre/v3fvR8vxnZc+7vdeY3f+zxwsA+AzDTQAA4zLc9OvKNqPnWooeY7jp5ww3Sc/IcNN2LfcCSXpS33wPqPlublBVkqRxMtw0J8NNN8guAi4LQ2uVhZzZhaRLW4tAo5/dq4fsMdpbhJ3Z1t52op9vbUvmvdvb13eZbW6da63n1NVF52x28XMJzjDcVCd7XS9tyX7Oa15T9LhM5TpZe13ekr3WZmSPf+Y86P1+fOv7W0TbznRmP7LnQI/XW0Tb3mrvvbzivAAA7me4CQBgXIabft3RgvZoMMdw088ZbpKekeGm7Qw3Sfr2vvUeYLBJkqTnZbhpToabbpBdXFoWsmZlF0iXthaxRj+7Vcu+RrILWPcW4Ga3Fcm+Z0dtLbiNfnarWplzYev9i352hKL3Pft+9zpnmZfhpjot96Ut2c95zWtq2b+tWq8rmX3IPkf2PpbR+/341ve3uHM/ss9dc1xrZJ537zmvOC8AgPsZbgIAGJfhpl/Xe7hptMWTn9hXw03SMzLctJ3hJknf3jfeA46+gy75LipJ0lgZbpqT4aYbZBcYty6ibVlAu5ZdSLo3ZJQVbX+ro2OUOebRYtjaY1n7c9Fxyuxj5pzInAdb241+doSi43jnOcucDDfViZ5rr73PZvZzXvuaoseeKXOtLnpcr7dk7jGljN7vx7e+v4toW2eq3Y/M+VXqJXPu7b2XV50XAMC9DDcBAIzLcNOvaxluetIieMNNkpYMN21nuEnSt/dt94Cj759LvodKkjRehpvmZLjpBtkFxq2LZ7OLQEvrhaBXLoY+0vO5s8diLfqZqLLPtfu9lll0nJHZbnSutZxHn6rH/pb3C84w3HSs5Tqytx/Z7dW+pux9p6Zynap9/rPX6z0976lrvd+Pb31/F3ftR/S4rXreGzPv595ryGynlH1fAIB7GG4CABiX4aZftzf8U4oWRBpu+rmj982iUmmMRl/YXq5JW11x/X+vPEd0/VqKHiNJT+qbhpuOvnsu+Q4qSdKYGW6ak+GmG2QXtWYXML+LtrfXeiHolYuhj/R+7syi8ffjkNmPonbx7fpYRz8TlT0fMq872nbt67mjHvu7fh8gy3DTsez1vLS3H1d+zjPXzEw1+3D2er3nyvt57/fjW9/fd3fsR/TzW5XzpafoOaL29v/K8wIAuI/hJgCAcRlu+nXR87wXPeZJwzx7C/bLv0WPyfak4yHN3OgL26Prx1Kv69VW0XMuXf3ckvSJvmm46WggteTaLUnSuBlumpPhphtkFxhnFzC/yz7XejHrlYuhj/R+7syi2PfjEP17VMtjFpnXml2se3axfHYx8Sfrsb8WP3OW4aZ9rdeQPVd/zrP3n9qOnL1e7+l9T33X+/341vd37dP7Ef3sVmXfeoqeI2rvvbz6vAAA7mG4CQBgXIabfu7o+bYWRX56P8+0t/iz16JPw03SMxp9YfvRYvXoMT160jVdklr7luGmo3tFqdd3XEmSdE2Gm+ZkuOkG2cWs2QXM77LPtV7Mmn18T1c8d/S4rYrMPryrfdyy8LZ2QXvLuXB2sXx2MfEn67G/Fj9zluGmfdlreak8Zs+nPueZ62dNR9fws9frPVfcUxe9349vfX+3fGo/op/d6ugzmJF5P/fey0+dFwDAZxluAgAYl+Gmn4ue472954t+/r3oMWcr+1PKDAsZbpK09PThpquGjMp2o+dbcg2T9A19w3DT0fV6KXqsJEkaJ8NNczLcdIPsAuPWxbLF2efKPr7nQtLsYt8amddTXkvtPqyPW+0C3GXxcPRvUcvPZ2SO4/p1FNnFxKXymE+1Vv63aJ+2irYBGYabtmU/j0tHPv05z96P9trbl7PX6z3Z+3lG7/fjW9/fI1fvx5Xn157M+7l3/DLbKZ15LwCAzzHcBAAwLsNNf6hmceTegvajx/fc16WW7RtukrQ0+sL2o+tqr2vWe0fXr1L0OEl6Wk8fbqq5Xpd875QkafwMN83JcNMNsguMzywwPftcdy4kvWoRbvT4qMzzR0NH0c9F1T5P5jW+63Eco5/d604WP/Nphpu2Za4/SzVDnHd9zsu+tbym9/au5T2u11uy3wcyer8f3/r+1rpqPzLb7PE6Fplzb++9vOu8AACuZbgJAGBchpt+VLs4MnrsUs02ei6u3BpSOnoOw02Slp6wsD26hrzXe3B07xpZumJQVZLu6MnDTTXfu0u+c0qS9IwMN83JcNMNsguMzywwzS6OXT9XdiFpeW29RNvfKnOMsse/pkj22B3Vemwz58DWcYx+dq87WfzMpxluimXvP0s1z3/357xsr/X17d2velyvt2TvfRm9349vfX+zeu9Hdlu9RNveau+9vPu8AACuYbgJAGBchpuOF7Iv1SyOPNpWr+Ghmn2OHlfae2yv/Tt63yw0lcboCQvba653va4pn3wuSbq7Jw83RdfndYZRJUl6Toab5mS46QZPGm4qop/bq4fsMcoM/mQXxx619/5EP99aq8w5sPVasufRnQuKLX7m0ww3/Vr2mrG0dz19N8rnvGy35bVuyWyr9lgtDDfl9X5/W/Xajyu/W23p+V723BYAMA7DTQAA45p1uKlstzw22mZU7dDP0f6Wzg4Q1Sy+33uOvcef3belo+NgOEAao6csbI+uI+vOLmI/e22VpKf11OEm12tJkr4vw01zMtx0g+zi0uwC5nfR9vaKFrJmF9T2WAwbbXev7ALW7Huw195z93qeM8c08/5tnWt3nAOtLH7m0ww3/Sx7vXiv9rlH+5xHz7nX1v70uF5vyd6PMnq/H9/6/p4VPdde6/3IHtfSWdnrwd6xy+7/Ve8DANCX4SYAgHHNMtxUtlPKDDS9lxnGqVlwWcoO+JSf77GYc28bvRaCln2Ntr+Ufe2SrukpC9trr6vl51qurdG2oly7JH1TTxxuqr0fRI+VJEnjZrhpToabbpBdYJxdwLxoWWAeDaVk97d0ZkFpy35ntSzwjTp6b3o9zxmZ47n1ej51zhblmJ05f7LH/MxzQWG46YfsZ29ddP/ZMtrnPHuN3NqfHtfrLdl9zOj9fnzr+3tWj/2Ifm6vs/fzaJt77R277Paueh8AgL4MNwEAjOvpw02fqGUxe7SdqJqF+GUgq3YhZ+loe3vbKv8WPSbb0fvWckwl9e9JC9sz18Hys3vDr+UadHSdWnf2vwwlSaP1tOGm7HX7ynp9Z5YkST8y3DQnw003yC5ObVlY2rKgtBRp2VbrYthPPld5XLS9TOW9PBI9LtOZhcVF5nXuPVf083u1Wu9v+b9L5VjXHG+Ln/m02YebWq7b6/auPZErP+c115m1Xvuzvv7tlT1m2e8eGb3fj97be3fn+/vurv3InGNLmeP7LtrWUXvP1eP1AwDjMdwEADAuw037tQ7htO53WSj5XvQze9Xs7952y79Fj8l29Ppbj6ukvj1pYXvrdbV05rpa6nVtlKSRmuUecEXuC5Ik9c1w05wMN90gu8A4u4C5ZeFqae95op8/Krvf2UWrSy0LhIvW53uvRvb9XndW5nzYe8+y51X2/S8y70nZfrRwOfu+RtuAjNmGm8q/l85e297Lfg7Lz0fb2ap2+8t2s9evXvuTuc5m9zH7fmX0fj96b2+xbPeu93dx5360fm6PXtO78rOZc/m9vefp8foBgPEYbgIAGJfhpu3ODuB8et9r93dvcX+vhZpHr/3ssZXUJ//VjuMsYJf0rT3lHnDHtf8o9wZJkvpmuGlOhptukF1YWrP4tWyzdSHpUtnGluyC0vdqFpe27nt2YfBatM3aap/7zLE7+/qKzLHde76WBdGZhcUtxymS3U5mHyHybcNN5TpQPu/vlf8tcy3J1PIZvOJzvt7m3vVwLXt93JI5xpn9K3rtY6T3+/Gt728xwn5kzrP3avY1+96t23svs9ve2xYAMA7DTQAA4zLc9Ov+3F/+JdyXlj61/5lhIcNNkpaeNtxUKtePvetYz3reDyRptJ5yD/jUNT+T4SZJkvpmuGlOhptukF2cWioLSqOin23tSPSYTOV1l4WmS+X/PvsayjbOyC6UfS/z3NHja+qxMDdzjMvP7ml5v2peQ8v7sHX8s9vqcYyZ27cNN32y1mv4FZ/z6HHlmnf02Oy+7F1ne16v18qxjrazVUbv96P39orocZ9+f4utx3xyP7Lnwrqy7bKNsk9LZ7e5tHccssdgb1sAwDgMNwEAjMtw0x8qi9ivGLq58jW0LKzcWyDaa6Hm0Wu+4jhLyvfE4aalqxe7u05J+vaecA+4+lrfWq/vzJIk6UeGm+ZkuOkGvRaA9qzs05HsotKrO1pAXCva9lHZ5255z3u9vrKdaPtRR8/Zeu6W7UbnWDmnMvv33haLn/k0w01tnbnG9f6cH12HomtY2WbLNTG6Fi4y18Ps8cvua0bv92PW9/dT+1Ec7ctd7b2Xvc8LAGAMhpsAAMY1+3BTGWj61H+ZozxPtA8tlQWVrfu9t0i010JNw03SM3rycFOpXEt6L3z/1D1Bku5u9HvA1b8HnMlwkyRJfTPcNCfDTTdoWaR6ZWWBa62RFsP2WrR6xaLhteyC3FL2ObZk3rOac2GEc8DiZ0ZiuCnf2c9dz8/5p+/Je3pfr99lX2dG7+vuN76/I51nxaf3p7a997L3eQYAjMFwEwDAuGYabloGgkp3DtecGXJaXkO03dr2BgF6LdQ8et/uPP6S/tDTh5uWyjVl79pWk+uSpNka+R5w9F3y7np9Z5YkST8y3DQnw003GG1BaXbx5+jDLVnZxbKlFtF29urlisXy0WM/1dE+WvzMpxluytXjM9frc57dztnK/X/PFdfrRfa7R0av92Pxbe/vKPuxljnfPtXeudHrvAAAxmK4CQBgXKMPN31zZdHmMmwV/e2rtAwznR1okqSobxluem+5tpbrZzTwtPzv5WcMNEmauW+8B0iSpGdmuGlOhptuMNJwU8vCz08v0l2XXdBdI/OetD5/5jlqFybXuGKx/J3nwBGLn/k0w011letLr89br8955vrYoyNXXK8X2e8eGb2vu9/2/o52nr379L4dtXdu9D7PAIAxGG4CABiX4SZJmjcL2yVp3twDJEnSKBlumpPhphuMMtx0ZtFndoFpr7KLuWtlXk/r4FHmOXrKLFzOHN87zoGacza7XzXbhD2Gm47rObBZ9Pycf2q4o+Zac9X1uphxuKkY5f0d6Tx7lz3WV7e3/9l9zR4LAOAehpsAAMZluEmS5s3CdkmaN/cASZI0Soab5mS46QZ3DzdlF0RvKYtGP7VYt3T1ItXa13JGtL11vd6fReY9yj53dqFxa2W/at//7D5dfV7x/Qw3bVfud1d8xnp/zq++L9cegyuv17MONxWjvL+j7Mda9nhnyr7mvdeQ3c/W4wEAfJbhJgCAcRlukqR5s7BdkubNPUCSJI2S4aY5GW66wdWLW7cqC6HLc/d29evJDLacUbNoNruYfK3mWPV25WL5ohy3zHNky56zFj/zaYabfl353F752bric57dZm2Z43Dl9Tp7r87o/X703l6R3WZtNc/9bpT9iPS+l5d9yr7evdfRc1sAwDgMNwEAjMtwkyTNm4XtkjRv7gGSJGmUDDfNyXDTDa4eBlpXFqtevcCzbL/36yr7nR1sOSvaj/fOOlqYm12sXiOzWPnM81/x/rect0fHeN3Vnw2+n+GmH5VrwKc+T1d+zjPXzL1a7l9XXq+z1+iM3u/Ht76/70bZj7XseRL1fm72fC+vPC8AgPsYbgIAGJfhJkmaNwvbJWne3AMkSdIoGW6ak+GmG/RYOBpVFpOWyvZ7L3atVRaSnn19y2u4w97C2ffFumdE2166YiFu2e/ouaJ6vMby3mWec115/JnjsPceRl1xzJnLbMNNyzV6+aze8Rn6xOe89Tp25hp25fW67Fe0na0yer8f3/r+RkbZj7Xs+VIqr2W9Tz3fy57bAgDGYbgJAGBchpskad4sbJekeXMPkCRJo2S4aU6Gm7hMWVRaKgtktxbvlv+9dPUi3YxoP0tlH3vYWjBcjsO3Wd77rfe/NNr7D1mjDzdxTrk+Ldcy17DvM8r7O8p+RJb9Wu/bsk937RcA8B38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFx/4W/+n3/1Xe1/+Df+q9//j//X/7Uk6cv71/78f/L73/wP/sW1/y33AEmaI/cASZI0Sv/an/9Pf/X3ScNN389wEwCcYLgJAACgjb/hAQCM60//xZ//9i1JkiRJkiRJd/aP/vE//ZO/XvKtDDcBwAmGmwAAANr4Gx4AwLgMN0mSJEmSJEkaKcNN389wEwCcYLgJAACgjb/hAQCMy3CTJEmSJEmSpJEy3PT9phlu+u//L/6T3/9bf+3vSpLUtf/O/+hv/HS/Kf939HOSJEmSpJ8rf697/32qZLgJAGAMhpskSZIkSZIkjZThpu/3lcNNf+Xv/C48oSVJkiRJkiSNW/m7HgAA9/tLf+vv/eq72j/84//r7/+///DvS5K+vH//P/xP/8V1/z/4qX/4//6vw5+VJH1X7gGSJGmU/v3/8H//L76L/Pz3yX/yz/75n/z1km9luEmSJEmSJEnSEBluAgAYQzTc9E/+P/+33//+H//fJUlf3l/63/wd9wBJmjT3AEmSNErh9xLDTV/PcJMkSZIkSZKkITLcBAAwBsNNkjRvFrZL0ry5B0iSpFEy3DQnw02SJEmSJEmShshwEwDAGAw3SdK8WdguSfPmHiBJkkbJcNOcDDdJkiRJkiRJGiLDTQAAYzDcJEnzZmG7JM2be4AkSRolw01zMtwkSZIkSZIkaYgMNwEAjMFwkyTNm4XtkjRv7gGSJGmUDDfNyXCTJEmSJEmSpCEy3AQAMAbDTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiRJkiRJkobIcBMAwBgMN0nSvFnYLknz5h4gSZJGyXDTnL5yuOmP/sEf/+pk/rN/7Y9+/+/+zf9GkqSu/Xf/nf/op/tN+b+jn5MkSZIk/Vz5e93771Ol8nc9AL7TXzXACo9iuEmS5s3CdkmaN/cASZI0Soab5jTNcNNf+T/98e//6L/9F/8mSVLH/tX/2d/+6X5T/u/o5yRJkiRJP1f+Xvf++1TJcBPA9yrXeQNO8ByGmyRp3ixsl6R5cw+QJEmjZLhpToabJEk6keEmSZIkSWrLcBPAXJZrvQEneAbDTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLu/XewNOMD7DTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLutrvgEnGJvhJkmaNwvbJWne3AMkSdIoGW6ak+EmSZJOZLhJkiRJktoy3AQwl/U1v2TACcZluEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9zV8y4ARjMtwkSfNmYbskzZt7gCRJGiXDTXMy3CRJ0okMN0mSJElSW4abAOayvua/Z8AJxmO4SZLmzcJ2SZo39wBJkjRKhpvmZLhJkqQTGW6SJEmSpLYMNwHMZX3NX2fACcZiuEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9zY8y4ATjMNwkSfNmYbskzZt7gCRJGiXDTXMy3CRJ0okMN0mSJElSW4abAOayvuZvZcAJxmC4SZLmzcJ2SZo39wBJkjRKhpvmZLhJkqQTGW6SJEmSpLYMNwHMZX3N38uAE9zPcJMkzZuF7ZI0b+4BkiRplAw3zclwkyRJJzLcJEmSJEltGW4CmMv6mn+UASe4l+EmSZo3C9slad7cAyRJ0igZbpqT4SZJkk5kuEmSJEmS2jLcBDCX9TW/JgNOcB/DTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLutrfm0GnOAehpskad4sbJekeXMPkCRJo2S4aU6GmyRJOpHhJkmSJElqy3ATwFzW1/xMBpzg8ww3SdK8WdguSfPmHiBJkkbJcNOcDDdJknQiw02SJEmS1JbhJoC5rK/52Qw4wWcZbpKkebOwXZLmzT1AkiSNkuGmORlukiTpRIabJEmSJKktw00Ac1lf81sy4ASfY7hJkubNwnZJmjf3AEmSNEqGm+ZkuEmSpBMZbpIkSZKktgw3Acxlfc1vzYATfIbhJkmaNwvbJWne3AMkSdIoGW6ak+EmSZJOZLhJkiRJktoy3AQwl/U1/0wGnOB6hpskad4sbJekeXMPkCRJo2S4aU6GmyRJOpHhJkmSJElqy3ATwFzW1/yzGXCCaxlukqR5s7BdkubNPUCSJI2S4aY5GW6SJOlEhpskSZIkqS3DTQBzWV/ze2TACa5juEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9ze+VASe4huEmSZo3C9slad7cAyRJ0igZbpqT4SZJkk5kuEmSJEmS2jLcBDCX9TW/ZwacoD/DTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLutrfu8MOEFfhpskad4sbJekeXMPkCRJo2S4aU6GmyRJOpHhJkmSJElqy3ATwFzW1/wrMuAE/RhukqR5s7BdkubNPUCSJI2S4aY5GW6SJOlEhpskSZIkqS3DTQBzWV/zr8qAE/RhuEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9zb8yA05wnuEmSZo3C9slad7cAyRJ0igZbpqT4SZJkk5kuEmSJEmS2jLcBDCX9TX/6gw4wTmGmyRp3ixsl6R5cw+QJEmjZLhpToabJEk6keEmSZIkSWrLcBPAXNbX/E9kwAnaGW6SpHmzsF2S5s09QJIkjZLhpjkZbpIk6USGmyRJkiSpLcNNAHNZX/M/lQEnaGO4SZLmzcJ2SZo39wBJkjRKhpvmZLhJkqQTjT7c9Nf/89/9/je/+c1m5d+jx0nq15/6M78NP3+l8m/RYyRJkmbIcBPAXNbX/E9mwAnyDDdJ0rxZ2C5J8+YeIEmSRslw05wMN0mSdCLDTZKOMtwkSZIUZ7gJYC7ra/6nM+AEOd8w3PTbP/tvhP/7aP3uv/yPf//LX/3z4b9J0h1Z2C5J8+YeIEmSRslw05wMN0mSdCLDTZKOMtwkSZIUZ7gJYC7ra/4dGXCCet8w3FT+/hb976NVBpsMN0kaKQvbJWne3AMkSdIoGW6ak+EmSZJOZLhJ0lGGmyRJkuIMN/FkZUBCUq71Nf+uyr4Ax54+3FT+a0jl729PGBoq+/mU/8qUpDn6hoXty32gpWh7kjRL7gHxNiVJ0ucz3DQnw02SJJ3IcJOkoww3SZIkxRlu4snW566kZ2XACY49fbipDDWVv7+NPjT0vvAy+ndJuqNvWNi+XFtbirYnSbPkHhBvU5IkfT7DTXMy3CRJ0okMN0k6ynCTJElSnOEmnmx97kp6XgacYN+3DDeVRv6vN73/rTD6d0m6o6cvbH+/B7QUbVOSZsk9IN6uJEn6fIab5mS4SZKkExluknSU4SZJkqQ4w0082frclfTMDDjBtqcPN73/DW7U/3rT+3+1qTTyEJakuXrywvb1tbWlaLuSNEvuAfG2JUnS5zPcNCfDTZIknchwk6SjDDdJkiTFGW7iydbnrqTnZsAJYt803FQqCx2jn7uzMnT1vo+GmySN0pMXtq+vrS1F25WkWXIPiLctSZI+n+GmORlukiTpRIabJB1luEmSJCnOcBNPtj53JT07A07wa08ebor+f2wf7b/e9IR9lDRvT13Y3uO/2FGKti1Js+QeEG9fkiR9PsNNczLcdFN7i1yjys+X/txf/uVfZjG6JI2R4SZJRxlukiRJijPcxJOtz11Jz8+AE/zsycNN5b+AFP0tLvrZu3rCPkqatycubO+1qL0UbV+SZsk9IH4OSZL0+Qw3zclw001lh5v2MuwkSfdluOmayn6V+9uyn8uAb/Sz+o7K+/v+/eibvt8YbpIkSYoz3MSTrc9dSd+RASf4g28cbir/e/TzdxTtXyn6WUn6dE/9r3bUtnWfWIoeI0mz5B4QP06SJH0+w01zMtx0Uz2Hm94z5CRJn81wU//29tkgyHe2973oG77bGG6SJEmKM9zEk63PXUnfkwEn+OHJw03R3+GWop//dHsLKkcawJI0bxa2x4+TpBlyD4gfJ0mSPp/hpjkZbrqpq4abSmXbhpwk6TMZburb0f6W/Becvqua70TR456U4SZJkqQ4w0082frclfRdGXCC7x1uGmF4KNqvpdmHm377Z/+NzX73X/7H4WP2iraz1LI9aZYsbI8fJ0kz5B4QP06SJH0+w01zMtx0U1cONy0ZcJKk6zPc1LcyuBTt57rosXpm0fu77ukDbYabJEmS4gw38WTrc1fS92XAidk9dbipDKxEf4dbKkMt0eM+1ej7d3fl9UfHpdRybHpvT5olC9vjx0nSDLkHxI+TJEmfz3DTnAw33dQnhptKBpwk6doMN/Ut2seo6LF6XrXDbIabJEmSvjPDTTzZ+tyV9J0ZcGJmTx1uOlqsWLrzv9izN2yzFD1ulgw3SWNkYXv8OEmaIfeA+HGSJOnzGW6ak+Gmm/rUcFPJgJMkXZfhpr5F+xjl3vYd1Q43PX0AyHCTJElSnOEmnmx97kr63gw4MatvHm66a6jl6L/atBQ9dpYMN0ljZGF7/DhJmiH3gPhxkiTp8xlumpPhpps6Gm6KHlMWci/VLgZesghckq7JcFPfaod/o8fqeR2dn0v+y02SJEnfmeEmnmx97kr67gw4MaOnDjdFf4OLih57dTWDV6U7/8tSd2e4SRojC9vjx0nSDLkHxI+TJEmfz3DTnAw33VTLcFNUWRRcsxDcwllJuibDTX2rGd59+qCLfi56j9dFj3tShpskSZLiDDfxZOtzV9L3Z8CJ2Xz7cNOnB1tq/6tNpbLgMtrGDBluksbIwvb4cZI0Q+4B8eMkSdLnM9w0J8NNN9VruGmpZjH4aAvYJekbMtzUv96DIOU1lsdtFT1Gn+uJ52i2cp5Fr63kHNzv/bO67hvODUmSZs9wE0+2PnclzZEBJ2byxOGmzABRKdrGVR0tonxv5qEbw03SGFnYHj9OkmbIPSB+nCRJ+nyGm+ZkuOmmyoLM6AvyUvSYo44GnPyXLiSpf4abrim6p7Xex2YYnnl65T1Yfzf6puGVve995d+ix+hHjp0kSd+d4SaebH3uSponA07MYobhprKwMdrOFUXPv5Xhpn7HxXCT1JaF7fHjJGmG3APix0mSpM9nuGlOhptuam+hZil6TE1XbVeSFGe46drK/p3dx6cfg5nq8X6PmAGd9hw7SZK+O8NNPNn63JU0VwacmMETh5uOFiqu+9RwS3boqhRtZ4YMN0ljZGF7/DhJmiH3gPhxkiTp8xlumpPhppu6agjJAm5J+myGm8bPMdDdGdBpz7GTJOm7M9zEk63PXUnzZcCJb/fE4aa9QZatyuLGaFs9i573qDIQFW3r2zPcJI2Rhe3x4yRphtwD4sdJkqTPZ7hpToabbuqq4aZStL2lP/eXfwkfI0lqy3DT+DkGujsDOu05dpIkfXeGm3iy9bkrac4MOPHNnjjcFP0N6airB1xa/qtNpU8MXY2Y4SZpjCxsjx8nSTPkHhA/TpIkfT7DTXMy3HRTVw437W3bcJMk9c1w0/g5Bro7AzrtOXaSJH13hpt4svW5K2neDDjxrZ423NQ6RFSKttero8WTW806eGO4SRojC9vjx0nSDLkHxI+TJEmfz3DTnAw33dTeQs1S9JjaygBTtM2S4SZJ6pvhpvFzDHR3BnTac+wkSfruDDfxZOtzV9LcGXDiG8003HTVkMvRPhm8+XW9j4ljLLVlYXv8OEmaIfeA+HGSJOnzGW6ak+Gmm7pruMkiUEnqm+Gm8XMMdHcGdNpz7CRJ+u4MN/Fk63NXkgw48W2eNty0t0ixDLHsDbmUom2erWbhZPS/L623N0O9h5F6b0+aJQvb48dJ0gy5B8SPkyRJn89w05wMN93U3kLNUvSY2gw3SdLnMtw0fo6B7s6ATnuOnSRJ353hJp5sfe5KUsmAE9/kacNNe0MsZQFj+Zno35aWn+lZ9DxLNftU/stP6232rOxDaevYLf9+9X6813sYqff2pFmysD1+nCTNkHtA/DhJkvT5DDfNyXDTTe0t1CxFj6nNcJMkfS7DTePnGOjuDOi059hJkvTdGW7iydbnriQtGXDiWzxtuCn6+9HSMpyzN+hSWm/zTEeLJmv2qWxjvd0eHe1bVNnPvSGn6DFLe6/j6D3JdMX2pFmzsD1+nCTNkHtA/DhJkvT5DDfNyXDTTe0t1CxFj6ltb9tl8Cl6jCSpLcNN4+cY6O4M6LTn2EmS9N0ZbuLJ1ueuJL1nwIlv8KThpjJ0E/39aGkZyjn6uZ7DRNH2l96fZ28Yp/zb+zbPdrSQs6atfYp+dmnvuBpuksbMwvb4cZI0Q+4B8eMkSdLnM9w0J8NNN7W3ULMUPaa2vW0bbpKkvhluGj/HQHdnQKc9x06SpO/OcBNPtj53JWmdASee7puGm95/9hPDRLXDVqW9xZU996fn0E/p/TWUop9ZMtwkPS8L2+PHSdIMuQfEj5MkSZ/PcNOcDDfd1N5CzVL0mNqi7S1FPy9Jas9w0/g5Bro7AzrtOXaSJH13hpt4svW5K0lRBpx4sicNN2UWKB797Hpop6W9AZv1wNLRINT7z7Z0tP0zvR+r6N+XDDdJz8vC9vhxkjRD7gHx4yRJ0ucz3DQnw003ddVwU/kvM0XbK1kAKkn9M9w0fo7Bz5XvCga6PpsBnfYcO0mSvjvDTTzZ+tyVpK0MOPFUTxpu2htoiQZrop9bWg8fZTsaJoqGp6KfW4p+vrYrB5uWlv2L/m3JcJP0vCxsjx8nSTPkHhA/TpIkfT7DTXMy3HRTews1S9FjatrbblnMHD2mZ2WxdHmesh9b+1L+95EWVu/t72j7Kmm8vnm46f2avn7cct0s/x49dqTOHINv7Cnv2yfb+y5QWo5ZqeV82dpuqfxb9JiRer8WHB2j3p+npx87SZK0n+Emnmx97krSXgaceKInDTdFfztaigZrrlzQ2LLt6OeWov2vLdreUWU46L3oZ9YdPdfea+g9jNR7e9KsWdgeP06SZsg9IH6cJEn6fIab5mS46ab2FmqWosccddfiz7KI9ej17NVjIWz2tbfuc9nX9bYkzd03DjeVa130s3uVa+rZa/lS9pq+7ug1Z7ryuh8933tXPPf7sYn+/WxH99bo/Ws5R3tUju/R/u5VHl+7b2fP6aja8/zM9j91fN4785zrou1LkqSxMtzEk63PXUk6yoATT/OU4aaW/1JSKfrZpasGira2uzeQU/4tesxRmSGfo9dbjuHeItCj59rbfu9hpN7bk2bNwvb4cZI0Q+4B8eMkSdLnM9w0J8NNN3W0cDN6zF5H27tqYXDPBahnFnHv7Uf5t9qfre2q4ynpeX3TcNPRz9a0vua2lLmmR/V4HUtXDBgtlW1Hz/le9LgzvR/bK17b+75HRffPzDnaox7fA96r2b+z5/S62nO8Zdulnscoe571fO5o+5IkaawMN/Fk63NXkmoy4MSTfPtw09EQTPSYo1oXSh4NDkWP2etoP5Zatn10vKPK/kTbitp7X1r2t/f2pFmysD1+nCTNkHtA/DhJkvT5DDfNyXDTTR0t3IweE1UWjB5tq3Vh6161i2pbalnEvHcM3l//0bHK1HuxtaRn9i3DTT2v62fvO7XX9K16vpYrh5tK0XO+1/tes95+9DOtHd1jt9672nP0bDXDZC3VnJNnz+n3as/v7HZLPT8762rfx71jlS3aviRJGivDTTzZ+tyVpNoMOPEUTxluOrM4Mfr5pcxAzlK0naW97fVeYBltY93W0FdN2QGnzLE03CSNkYXt8eMkaYbcA+LHSZKkz2e4aU6Gm27qaOFm9JhSWRhaM9C01LKw9aiei063yi5k3tun5Rhcsd/Z/ZT0fX3DcNPRz7R05v5Tc03fq+fruXq4qWbgJnpcS9Fz9byPrbe9buu5jt6vHvt4xXeApZpz8uw5vVR7bme2uXTlMVqqeS977ke0fUmSNFaGm3iy9bkrSZkMOPEETxluOjO80nPwpfW/IFU689h1e69pKbO9rY72+T3DTdLzsrA9fpwkzZB7QPw4SZL0+Qw3zclw0019YgFpy8LWoz6x30uZxcx7+1X+7c7/WoOk7+4bhpui/71Hmev4e0fX9Ogx7/V8TVcPN5Wi532v9Tiui7bd6z52dJ/de56aczR6XE09z4Wtao7h2XO6VPtaWt7Tvf3r3dH72XNfou1LkqSxMtzEk63PXUnKZsCJ0T1luCn6u9DS0VDN0cLGXkNFNcM90eOWah6/FD3+vcy2jqodcMo8p+EmaYwsbI8fJ0kz5B4QP06SJH0+w01zMtx0U1cvIi3bP7MYOCq7QLjsQ1ns/F72dde+hjPHszz2vehn9up9nCU9q6cPNx115hpZfj7ap6P2nqdmm2df83vl3hU9R8/Kc0TPvdR6HN/be44e97Fou+/tPcfR+9W6fz3Pg71q3p9PndMt50r2OJXnWL7XLe29vqi99zS7rb2i7UuSpLEy3MSTrc9dScpmuInRPWG46Wi4pmaopsfwy9F+1AxJ9diPo4WaVwzzHD1nqeZ9WOpxHN77/7P3fyHXdG+C39UIQjBgIHjkgSQHnokowSH8bIKhG+ZE1IgwIeRgZBIi4pBpdFCEOIGBxI4BhxkTcQbGX4vNxDEoypgROkSw/YODqDOCiMyZJ86B9EkPgZy8ZvXdy7eefV+71qqqVbtW1fX5wueg32fXn137vqv2+/a6fs/o/UEWFrbH2wFk4BkQbwcAfJ7hppwZbrrIyIWbLWXRaXQOW0X7jvQcryxq7bkG5TXR9q+2Xs/y+rWFtcWWxb7R9kAOTxxuKvfx1j2y97675xm0tu+e58Ke9/zOqGdoS3Tspdbn0bJ2TY++x7J9tN+q9Zm1Pq+97z3a1zvlHN9dh3L8tffY8zO5dv2PXp+q5zwi0b4iPT8n5VzX3mu1dq492/eK9g8AzMVwk+7c688uwBYGm3SHnjDc1DNUNGJx44h9jBjCWdtH0XM9tmp9BoXhJrgfC9vj7QAy8AyItwMAPs9wU84MN11k5MLNXnsXBxdHF6q+01oQXfSc95brufU69Oz7yLUF7u1Jw01b7+M9+97zbFi77+7ZX+s8Z7iHt56HPYMl7/R8TtF2vVrPydb1PePzaZ1TtfXnqZzL67579rF2Pmvb93x2xdb3Ua2dV7Vn36O+3xV7rx0AcA+Gm3TnXn92AXoZbNJdusNw06iFidG2VWsAZsSAVTHivUTbVWcO8rTOvfx5tF1k9DDS6P1BFha2x9sBZOAZEG8HAHye4aacGW66SM9i0jPsWQTas7D2yOLSnv1H2y31Xs/ehbSvWvs/sugcuLenDDftvY+PuIe/Wrvn7jnP1jnufTaMFp3b0lnPsGLvc6w1xNLzeY3+fHoGa4ojn/vynHve456f6dZ1qfZ+dj3773lv7/TsP9ru1Z5rBwDch+Em3bnXn12AHgabdKcyDTcd2c8M51C0hqzK/qPtRhh5bMNNMAcL2+PtADLwDIi3AwA+z3BTzgw3XWRtoebZti4EbZ3riIWlrYXIrQXIPdfzyHm2FujuXVgM3N9Thpta99k1rXtwtM2atf3tuZe3rsGR9z5S61m491kT7SsSbdvS+ux7ru3ozyfax6tRn3l5/z0/k1t/plvXpDryPlqfXc/7ajn6/a7Yeu0AgHsx3KQ79/qzC9BisEl36w7DTdF/M6q2Dq5E+6jWhnOi11dbB4qifVStfbUWafb+DVJ7RcestlwHw00wBwvb4+0AMvAMiLcDAD7PcFPODDddpLWgtCz2XFMWixat/byzZTFotP1StM0e0b6r1oLunusQbbdFtM+laBvg+Z4w3LR3aKZqDTBs3f/aPX3L86tqXYPy59F2V4jObynaZk3rs1naeh1a17X3sxr5+fR8Hxj9eff8fG/5mW5dj+ro+4j2uRRts0e072r0tQMA7sdwk+7c688uwBqDTbpjdx9u2jJQU+wZgmn9jUXRNmuifVSt93P1Is3omNWWz2L0MNLo/UEWFrbH2wFk4BkQbwcAfJ7hppwZbrpIa/FttM2assB1ywLmomdBaWufPfvo1VrMu7aIt3U9Ryx+bV2LaBvg+Z4w3HR0SKKI9lttfVaMHmY48nz5tNHP3Wgf72y9tq1nb++5jvx8ou2Xrvqse3+mW9eiOvo+Rv+crTn6+fZeOwDgngw36c69/uwCvGOwSXdt9uGm1mDRnr+pKNpPFQ3oRK+rtgz0VEcGca4e4lk7vuEmuB8L2+PtADLwDIi3AwA+z3BTzgw3XaS1IDjapldZJNraf3VkQWkRbXNEdIxq7Vxb5zlikW5rIXC0DfB8TxhuirbbKtpvtfUevHZPL38WbbOmdQ1az8JPGvl5tZ5bkd5r0TrPLZ/TqM+n9X73/OyM0vMz3fPZF73XY83a+RTRNkdEx6ha76fn2gEA92W4SXfu9WcXIGKwSXdu9uGm1qLEPcNNWwZhzhiuWjt+EW1TXT3Es/Z5GG6C+7GwPd4OIAPPgHg7AODzDDflzHDTRT6xqLRnkWxrUWi0TTViYOjV2sLktePNcD1HLDYG7ufuw02j7uUjBxBG7qu42/27NaTTe76tZ2Ok9+ehte8tP1ejPp/WOUXbfErrZ7p1DapRP6vRvqtR94SltZ/p1vFa1y7aBgC4D8NNunOvP7sArww26e7dfbgp2qZlyz7XXrt3aObIe7p6iGft3MufRdtERr+Pq68L3JWF7fF2ABl4BsTbAQCfZ7gpZ4abLvKpBbg9i2XfLZRtbfvpxa9rC1g/cT1b12PUgmPgXgw3fRk5gDByX8Xd7t+t8y2i7ZbW9jHimRltV239jEZ9PtG21Z6fm5FaP9PRP3816ue0db1n+n5XtK5dtA0AcB+Gm3TnXn92AZYMNukJzT7cFP33oqVomx49wzBn/K1NRWu/a0NCVw/xGG6CZ7GwPd4OIAPPgHg7AODzDDflzHDTRVoLWaNt9lpbUFq8W8Ta2q4o72O06DhVdJ7F3u22GLX4GngWw01f1u7D5c+ibd4Zua/ijvfv1jO4dc5r17Bsu3ZNjuy72PoztXYuRet8itb1GvVzvlfrmrX0XINerWtVlPMdLTpOFZ1ntbZt+bNoGwDgPgw36c69/uwCVAab9JTuPNy0ZZjmVc9ixzMXREb7q9be19WLNNeGiLZ8HoabYA4WtsfbAWTgGRBvBwB8nuGmnBluusiRRZ57RMdYirbpWfz6adF5Fp9Y+Dpi8TXwPHcfbhp17xp5Hx59T7/j/bt1zq3rEG1TLLeL/rxa7utV9Prqqs+n9Z0l2uaT1n6mW/Zc0zV3+n5XrF270dcGAPg8w026c68/uwCFwSY9qZmHm478DUc9on1Wa8Myxd6/tamK9lmtDeMYboqN3h9kYWF7vB1ABp4B8XYAwOcZbsqZ4aaLtBa5Rtsc0VrIGi0cPrIQ9yzvFjh/YuHriMXXwPMYbvoy8j48+p5+1/v3nmd3a7vyZz2v27PvYrn/XiM+n9E/M6OtnV+Pke/h6LmcYe0znv2zBQCOMdykO/f6swtgsElPa+bhptaCxKMDRq39r4n2t8XaME4RbVO0Br6OXpOW6JiV4Sa4Hwvb4+0AMvAMiLcDAD7PcFPODDddpLWwNNrmiNbC4Wgx8p0Wv35i4euIxdfA8xhu+jLyPjz6nn7X+3frvN9di+i11fJ1a/t/N6QUvbba89kUIz6f0T8zo62dX689g2OREecy2tpnPPtnCwAcY7hJd+71ZxfIzWCTnljm4aYi2m/LliGed/YutmwNN404t3da57zl2IabYA4WtsfbAWTgGRBvBwB8nuGmnBluukhrYWm0zVHRcSrDTW0jFl8Dz2O46cvI+/Doe/qd79/l+Rydc/V67muvj571a6/fsu8i2n+PEZ/P6J+Z0dbOb4sRP6ujzmWktfc1+2cLABxjuEl37vVnF8jLYJOe2szDTdF/K1qKttlqbSjmnRFDVUcGhaLXL0XbjNC6Voab4H4sbI+3A8jAMyDeDgD4PMNNOTPcdJHWwtJom6Oi41TR4tA7LX79xMLXEYuvgecx3PRl5H149D39zvfv1rm/DhStXbvl66q1/W/Z957PpRrx+Zx1bqOsnd9WR39eR57LKGvvafbPFgA4xnCT7tzrzy6Qk8EmPbm7DjeNGlhp/U1Ir7YM8Kw58jcwtRZqjhi+ikTHWtpybQw3wRwsbI+3A8jAMyDeDgD4PMNNOTPcdJHWwtJom6Oi41TR4tA7LSb9xLmOWHwNPI/hpi8j78Oj7+l3v3+3/sakev5r73PtukWvr+przvpbm4oRn8/az0wRbfNJrfOrel6353dgae0YR/d9hrudLwCwjeEm3bnXn10gH4NNenqzDjcdGf7Zam0w5tXIwaFo/9XaQE7r2pwxzNNzjQw3wf1Y2B5vB5CBZ0C8HQDweYabcma46SJrCzWLaJujouNU0eLQ1kLm19df6RMLX0csvgaex3DTl5H34dH39Lvfv1vnXweL1q7b6z6X1vZfr83oz2RpxOcz+3eWtetX9Vzr6sg1v9P3u+LMnz0A4HqGm3TnXn92gVwMNilDsw43tRYjjhxuah1rKdp+r9bAULRNFb1+aeT1aQ1TVVuOabgJ5mBhe7wdQAaeAfF2AMDnGW7KmeGmi7QWrkbbHNFaOBwtDjXc9KMRi6+B5zHc9GXkfXj0Pf0J9++eZ3L0z4ueaxZtV7WuXx2u2mvE5zP7Z7z2M128nl/r9cXe6264CQCYieEm3bnXn10gD4NNytJdh5tG/g1KRWvQqPj0MaNtqtb1KUacb+9gU2G4Ce7HwvZ4O4AMPAPi7QCAzzPclDPDTRdpLVqNtjmitZA1WiA7+0LhpU8sfL3T9QA+x3DTl5H34dH39Cfcv1vvYU3PEMza94TRn8erEZ9Pax891+BMW69h7+fdc21ejbjen3T2zx8AcC3DTbpzrz+7QA4Gm5SpWYebov9OtBRtc0TPsFC03RGtY7aGhaJtXh0ZcNoy2FS0znfJcBPMwcL2eDuADDwD4u0AgM8z3JQzw00XWVuoWUTbHNE6XrSQtbX49eqFwkufWPh6t8XAwGcYbvoy8j48+p7+lPv32gDSO1uuV7R9y4jvAqM+n2jbpWibT9nzM926LtXWn9/Wfmf6fleMvh8AAHMx3KQ79/qzCzyfwSZly3DTz6LjVFsGd3q1Fly2jtk7fLTn3FvnFtlyHMNNMAcL2+PtADLwDIi3AwA+z3BTzgw3XWRtoWYRbbNXz2LoaLsieu1StM1R5XyLLYt1P7HwtbUYeOviYuAZDDd9GXkfHn1Pf8r9u/U+IlsGVXq+LyzN9nxtnf+WazHa3p/pte2qPZ9DtJ+laJujyvUvtv6+7b12AMA9GG7SnXv92QWezWCTMjbjcFNraOesYZW1BZDR648a8T7XhnpelffX+pucymve7bN1rLJttM/I2r563ver0fuDLCxsj7cDyMAzIN4OAPg8w005M9x0kdZi1WibvaL9L60tDL1iofCe/X9i4euoxdfAsxhu+jLyPjz6nv6k+3frufwq2sc7rev0atR3gFGfT8/5X/VZH/mZXtu22vp7cZfvd8WRawcAzM9wk+7c688u8FwGm5S1GYebWgsRtwzRbDXD8ZaibZZ6//amV2XgZyl6zavWsbZcp7Vjlj+Ltlkzen+QhYXt8XYAGXgGxNsBAJ9nuClnhpsu0lqoGm2zR8+C2LUFpp9eKPzufFvH+MTC19a1uGrBNHAtw01fRt6HR9/Tn3T/br2XpT0DKmvXfmnP5/DOyM+ndf4jz7vquc5r59VzTtF2r7Z83j0/RyN/L969/55jHL12AMDcDDfpzr3+7ALPZLBJmbvjcFPrbx86IhqS+fTxlqJtXu0dcNqiXoPozyrDTXA/FrbH2wFk4BkQbwcAfJ7hppwZbrrI2kLNItpmi55Fq0XPotDWuY5aWNo6ThFtV6xtO+r8Wtd05CJg4D4MN30ZeR8efU9/2v27DLFE7+NVtG1L61pVewan3hn5+fSc/6jvBUXZV8/+jv5M934uW67V2jkVPefVo3WcItquOnrtAIC5GW7SnXv92QWex2CTsjfjcFP034iWzhw2eh0UOnswZm0op+gdGDpzwGl5vaM/rww3wf1Y2B5vB5CBZ0C8HQDweYabcma46SKthZ7RNj3KYuOeRaRVzyLYTywU7jnntWOsbX/03KrWddiyoBh4DsNNX0beh0ff0592/269n+LIsy/a36tou71Gfz69w19HPveybf057bnWI36mR7+v1nUvjvwcFWvvu2odY8S1AwDmZbhJd+71Zxd4FoNN0j2Hm6JtRloOypw5SFW0Fl1uGRgq57o25LPH6/uPXlMZboL7sbA93g4gA8+AeDsA4PMMN+XMcNNFWos9o20iZWHq1oGmasuC0N79b10ovFwcvKZ1rmv72PI+17QWAW9978AzGG76MvI+PPqe/sT799o1Ko68p9YQTfnzaLu9zvh8ov1EynvZuv/Xa9/zMznqZ7r1uRej91dsvUbl9aPOdW0/W94rADAnw026c68/u8BzGGySvpptuKnnbyCKthtpuRAy+vORWosu9wzmtPbZoxw3GuyKXluV476+/p3Rw0ij9wdZWNgebweQgWdAvB0A8HmGm3JmuOkivYtJz7JnMWi0n0jZd2sR7NaBrNb+1va1571GyjlE+6+2LvwFnsFw05eR9+HR9/Qn3r/X3tOI51603yp6/RFnfD6tfb4q30vWBp3Wvrf0XO+RP9Nr+6q27DPaPlL22fosRn+/K9b2t+V9AgBzMtykO/f6sws8g8Em6efuNty0ZYDmiHfDPWeI3me1dzCnnPueIadyvLVrHG1TbflsRg8jjd4fZGFhe7wdQAaeAfF2AMDnGW7KmeGmi2xZ+Dna3oWgWxcKV+V4S9Fr1syy8LX1/nvOE3gew01fRt6HR9/Tn3r/fnedyoBJ9Potyj7O2versz6f1n5H6fmZHPkz3fu+ej+rvdepnPdS9Jo1vZ/r2r7Ln0XbAAD3YbhJd+71Zxe4P4NN0o/NNtw0iy2DOrOrg07vBoDKP3/S+wX6PX1hOwDveQYAALMw3JQzw00X2bMIdISji0A/tVC4mmnha+u9954r8CyGm76MvA+Pvqc/9f4dva+zn3nRa4868/Np7XuEnmv+6Z/pqvfafeI6LW35TEdfOwBgLoabdOdef3aBezPYJH3PcBNAXha2A+TlGQAAzMJwU84MN11kbaHmGcrxtiwkXfOpBbCzLXxtve9R1xe4F8NNX0beh0ff0598/369ViP/ZqXXv73pjL+1qTj782nt/6ien8nRP9PF2j6Xeq/f2dep2vp5nnHtAIB5GG7SnXv92QXuy2CTFGe4CSAvC9sB8vIMAABmYbgpZ4abLtK7IPWocpwzFiOfuQB2z0LVTyx8bb3nrYt1gWcw3PRl5H149D39yffv1/cWvWavM/e99KnP53VYa5Sen8nRP9PV2n6rLftvfRZH7H2fZ107AGAOhpt0515/doF7Mtgkvc9wE0BeFrYD5OUZAADMwnBTzgw3XaRnMepeZd9lAe+oxcBrRi4UrucdHaflEwtfP7X4GrgXw01fRt6HR9/Tn37/rtdrz7VpqdfojEHp6pOfT9nX2s/XHj3Xfe2YRz+3aJ+vth5jlu93xZnXDgC4nuEm3bnXn13gfgw2SesZbgLIy8J2gLw8AwCAWRhuypnhpousLdTcouynLho9c+Fxy5FFsPX8o/32Wrue5c+ibbZ6+uJ4YB/DTV9G3odH39Offv+u7y/6s6PO3Hd1xedT9vnJ7y6jf6aXWtev2nOcq7/fFWdeOwDgeoabdOdef3aBezHYJLUz3ASQl4XtAHl5BgAAszDclDPDTQxVFwuvLYati11HLHgFuNrsw03kcOaQx9Of1/W7S2uIpn5/ifbxdL7fAQBnMdykO1cGI4BtXu/5VynnIqmd4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPv4LBJqk/w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyTl6vWe/2kGm6RtGW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyQpV6/3/E8y2CRtz3ATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJuXq953+KwSZpX4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJytXrPf8TDDZJ+zPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJUq5e7/lnM9gkHctwE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSbl6veefyWCTdDzDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJOXq9Z5/FoNN0pgMNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkpSr13v+GQw2SeMy3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SVKuXu/5oxlsksZmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukqRcvd7zRzLYJI3PcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEm5er3nj2KwSTonw00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyTl6vWeP4LBJum8DDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZKUq9d7/lEGm6RzM9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0lSrl7v+UcYbJLOz3ATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJuXq95+9lsEn6TIabAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJytXrPX8Pg03S5zLcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJUq5e7/lbGWySPpvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJknL1es/fwmCT9PkMNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkpSr13t+L4NN0jUZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJClXr/f8HgabpOsy3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SVKuXu/5LQabpGsz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SVKuXu/5aww2SddnuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukqRcvd7z3zHYJM2R4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPjxhskubJcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEm5er3nvzLYJM2V4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPXzLYJM2X4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPrww2SXNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukqRcvd7zC4NN0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJClXr/d8g03S3BluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskKVfL+73BJmn+DDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZKUq3qvN9gk3SPDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJOWq3OcNNkn3yXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJuTLYJN0rw00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8/Rf/3P/q23e1f/Jf+B/+9Md/85cAPNx/5L/05z0DAJLyDAAAZhF9LzHc9PwMNwHAAYabAAAA9jHcJEmSNG9/5Dd+/G/fAAAAAABX+ju/93f/8L9e6qkZbgKAAww3AQAA7GO4SZIkad4MNwEAAAAAMzHc9PwMNwHAAYabAAAA9jHcJEmSNG+GmwAAAACAmRhuen6GmwDgAMNNAAAA+xhukiRJmrf/5J/+H337rvb3/mP/EgAJ/Hv/M//tb8+Af1/wOgCexzMAAJhF9L3k9//tf+cP/+ulnprhJgA4wHATAADAPoabJEmS5u1P/+V/69t3tb/zf/6//PT7f+tvAvBwf+o3/yeeAQBJeQYAALOIvpcYbnp+aYab/pH/1v/ip3/8L/xvAWCov/+f+O/9u8+ZMiH+pfzf0esAAAD4Ufnvda//Dc9wkyRJ0hwZbgLIy8J2gLw8AwCAWRhuytkjh5v+zG//7rcfZgAAAABgbuW/60mSJOn6DDcB5GVhO0BengEAwCwMN+XMcBMAAAAAMAXDTZIkSXNkuAkgLwvbAfLyDAAAZmG4KWeGmwAAAACAKRhukiRJmiPDTQB5WdgOkJdnAAAwC8NNOTPcBAAAAABMwXCTJEnSHBluAsjLwnaAvDwDAIBZGG7K2SOHm/7a3/jb336Y/8q/8b/86f/7//7fAcBQ//H/8l/4d58z/8L/X/m/o9cBAADwo/Lf617/G17573qSJEm6PsNNAHlZ2A6Ql2cAADALw005SzPc9Nf+N//GTz/93v8JAIb6T/zJf+WH5035v6PXAQAA8KPy3+uW/z5VGG6SJEmaI8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDggDsMN/3Kr/zKW7/5z/9Xwm1elddF21fRNgAAAGsMN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3fYm2AQAAWGO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLjpS7QNAADAGsNNkiRJ82a4CSCvpy5s/53f+uVPf/Y3/tRPv/6LX4T//87yz4vymvLaaB8AT+cZ4BkAALMw3JQzw00AcIDhpi/RNgAAAGsMN0mSJM3bHYabysLD6L9X96iLF+sCRosYAX72pIXt5d5e7vXRs6BH2TbaL8BTeQb8zDMAAK5luClnhpsA4ADDTV+ibQAAANYYbpIkSZq3pw83rakDT9ExATJ4wsL2sqA9usfvVZ4NhmCBDDwDvvMMAIBrGG7KmeEmADjAcNOXaBsAAIA1hpskSZLmLfNw05L/tXYgo7svbC/37uiePoLnAvB0ngHveQYAwGcZbsqZ4SYAOMBw05doGwAAgDWGmyRJkubNcNOP/E1OQCZ3Xdg++m/qeMfiduDJPAPWeQYAwOcYbsqZ4aZJlUXkv/vX/2L4Z7P5o7/2D4f/HCADw01fom0AAADWGG6SJEmaN8NN31nICGRxx4Xtn1rUvlSOGZ0LwJ15BvTxDACA8xluypnhpkmVReS9C86vVr6wR/8cIAPDTV+ibQAAANYYbpIkSZo3w00xA05ABndb2H7FovbK4nbgaTwD+nkGAMC5DDflzHDTpMrfhlS+BEd/NpO62P0uf8sUwGiGm75E2wAAAKwx3CRJkjRvhpveM+AEPN3dFraX+3J0v36nPD+iBenln5U/27I/zwTgaTwDPAMAYBaGm3JmuGlS9Uvw7ENDdQird3E8wNMYbvoSbQMAALDGcJMkSdK8PWG46d3/knr553Xx4tYFjFXZLto3wBPcaWF761mw9O65ENnyfLC4HXgSzwDPAACYheGmnBlumtTyS3D05zNYLnQ33ARkZbjpS7QNAADAGsNNkiRJ8/bk4aZ3tixiLKJ9ADzBXRa2l/t8dH9+dWThee9zYeszB2BWngE/8wwAgGsZbsqZ4aYJvS4gn/Vvb6p/a1MVvQbg6Qw3fYm2AQAAWGO4SZIkad4yDjdVZbuehYxHFkoCzOwuC9t7/saOEffqTx0HYAaeAT/yDACA6xhuypnhpgm9LiAvQ0TR665UBq6W51hErwN4OsNNX6JtAAAA1hhukiRJmrfMw01VWaQY7Xcp2g7g7u6ysD26Ly+NXGze80woz6VoW4A78Qz4zjMAAK5huClnhpsm9Po3IhWz/e1NdzhHgE8w3PQl2gYAAGCN4SZJkqR5M9z0pbWQ0SJG4InusLC99Qwoou2OaD0TRi6kB7iKZ0DMMwAAPs9wU84MN00o+gLcu/j8U+5wjgCfYLjpS7QNAADAGsNNkiRJ82a46WfRviuLGIEnusPC9uievDTqGbBU9hkdaynaDuBOPANingEA8HmGm3JmuGlC0ZffInrtFd4tcDfcBGRkuOlLtA0AAMAaw02SJEnzZrjpZ63jRNsA3NnsC9uvXGDe+ps7zlhQD/BJngHveQYAwGcZbsqZ4abJrC0en2V4KDq3Kno9wJMZbvoSbQMAALDGcJMkSdK8GW76UbT/qpxHtA3AXd19YfuZ9+XWs8czAbg7z4D3PAMA4LMMN+XMcNNkZl88bnH7e7/71//iT3/01/7ht6Jt1ozeH3AOw01fom0AAADWGG6SJEmaN8NNP1r7X2m3iBF4mtkXtn/y/h+Jjll5JgB35xmwLjpm5RkAAGMZbsqZ4abJlKGV6MtvVQZeou0+Zfbzu1J579E1qbZem9H7A85huOlLtA0AAMAaw02SJEnzZrjpR2vDTeXPom0A7mr2he1r9+Qi2mYkzwTgyTwD1nkGAMDnGG7KmeGmyURffJeu/Bt7WsM2Re8i+Scy3AQ5GW76Em0DAACwxnCTJEnSvBlu+tHasSxiBJ7mDn9rx5pom5EsbAeezDNgnWcAAHyO4aacGW6aTPTF99VVQy2tv7WpMNwUX5fCcBM8k+GmL9E2AAAAaww3SZIkzZvhph+tHcsiRuBpZl/YfjUL24En8wxY5xkAAJ9juClnhpsm0lo4Xl01QBSdy6sr/2apqxlugpwMN32JtgEAAFhjuEmSJGneDDf9yHATkImF7euiZ0H1ib81BOBMngHront/5RkAAGMZbsqZ4aaJ9A43FZ8ebOn5W5uqaPsMDDdBToabvkTbAAAArDHcJEmSNG+Gm360diyLGIGnsbB9XfQsqDwTgLvzDFgX3fsrzwAAGMtwU84MN01kywBR72L0UaJzeCfr0I3hJsjJcNOXaBsAAIA1hpskSZLmzXDTj6L9VxYxAk9jYft75dkSPQuqkc8egCt4BrznGQAAn2W4KWeGmyayZbipiPZxhtaC9leGm2KGm+CZDDd9ibYBAABYY7hJkiRp3gw3/cwiRiAbC9vfi54DS54JwN15BrwX3feXPAMAYCzDTTkz3DSR6Evvmk8Nt2wduupdKP80hpsgJ8NNX6JtAAAA1hhukiRJmjfDTT9rHSfa5ohy3kU57q//4hfhMcs/L2b5W6PWzvfKc539Wt7xsyYHC9tj5fc1+j1dirYDuBPPgJhnAAB8nuGmnBlumkRrkOWdaF8jtRazR8owVLSvpzPcBDkZbvoSbQMAALDGcJMkSdK8GW76WbTvauTASev9rBkx/NJasBldzz3nXM511GfzztXXsmX28wML22Pl9y/6vaz8bgJP4BkQ8wwAgM8z3JQzw02T2DNEVJw94LL1b22qon09neEmyMlw05doGwAAgDWGmyRJkubNcNOX1iLGEcdoDRVtUc537zm1zmO53xHnXM51efwRZrmW78x+flBZ2P5dz++v30ngCTwDvvMMAIBrGG7KmeGmSewdIupdlL5XdMweGQdvDDdBToabvkTbAAAArDHcJEmSNG+Gm9qDTUW03RY9x9hjz+BQa9FmvZ49izt77TnPd2a6lpHZzw+WLGz/Uc99z9/YATyFZ8CPPAMA4DqGm3JmuGkSe4ebirOGXNbOqXW+GQdvRg8jjd4fcA7DTV+ibQAAANYYbpIkSZq3zMNNZbueQZS9+y96FkketXXopXVO5c/POO+jwzkzXsul2c8PIha2/+jsZwLATDwDfuQZAADXMdyUM8NNk4i++FatBeW9C9O3io5VlWOunddZ5zQzw02Qk+GmL9E2WbgfAwDAPoabJEmS5i3jcFN5fc/ixWL2YZdqy3m2zuvM8976WVWzXstq9vODdyxs/1nPc8Hf2AE8iWfAzzwDAOBahptyZrhpAq0hlvKaTy8q7zne2mvK3+z0us+RyjUrx393DuX49c+j7c8wehhp9P6Acxhu+hJt86rso9yfo7/9r96373Zvq9fFPRkAALYz3CRJkjRvTx5uKv+8KvvoWbT4Ktpvr63HK+e4VLbfso/y2ug8Xh0dxKnntfX8it5zfLX1OJ+6ltXs5wfvWNj+pfe+GG0LcFeeAV88AwDgeoabcma4aQJrC8brkFBr0KXs43W/R0THqHrP6XWfI5RjRoviW9auz9r1L6Jtitb736Kcw+j9RecMjGe46Uu0TXHkvl22jfYZaZ1fEW13VH1vZ913X9/Dqy3XCAAAZmO4SZIkad6eMNx0lrLQMTqfHr3nXIZUeo7Tu7+effUu4Fwqx4/2tdQ7nNOzr6WZr2Ux+/nBGgvb+++JfueAp/EM8AwAgFkYbsqZ4aYJrC36roNErdcVy30e0buAvTWMM3LB9d7F8a+iczqyYD96/R51EX/0Z3uctcge+M5w05domxH37eVzsCXafmnkc6la7j/68yNa12/LtQEAgBkZbpIkSZo3w02xIwsYz1okWV7fGiAqfx5tu9R7fkXP/pZ69r1ln0+5lledH7RkX9h+1u8wwB14BngGAMAsDDflzHDTBNYWLy8XnbeGX0Yt2l47n9eF1NFrqlHn01pQv9Xre9izYL8YPYw0en/ROQPjGW76snztyPtZ1fNMaZ1jEW231+vzctRzr1ruOzL6eAAA8GmGmyRJkubNcNOPysDI0QWMraGU4sgxWvsv1yvarupdyLl3eKZn/9F2kdmv5eznBy3ZF7b3/A6X10TbAtydZ4BnAADMwnBTzgw3TSD6Ely9LjqPXlO9Du3s0VqQ/rqQem0QasSAzdr+j1heqy0L9pda12qLcg6j9xedMzCe4aYv9XUj72WvXp9BkWi7pZ599Ir2H71uj9b1HvHMBwCAqxlukiRJmjfDTT87MoRS9Qz2jDhOtN+qtQiz5xyLM4dyom1ezX4tZz8/6JF5YXvrPlX4HQOezDMgvvdXngEA8DmGm3JmuOlirUXgr69vLXY+umh7bZgoWki9dj5HF16vncsI9fx6F+y/GrmAv5zD6P1F5wyMZ7jpS3nNyPvYO63nXOs8jz6bqnfHOfocrqJ9L406DgAAXMlwkyRJ0rwZbhr7t9+0znXUsVrHibapeoZyjp7niOswYh89WseJtilmPz/okXVhe+v3qoq2BXgKz4B10bYAwDkMN+XMcNPFehaLv4peV/UuUn8n2mcV7XvP+fdo7fedsmh9KXrNUjnO3vcwehhp9P6icwbGM9z0pbwm+udLr/fonvt0pDXYE22zNGIw6N25j7j/tq51OXa0HQAA3I3hJkmSpHnLONxU9leM+Ft1XkXHW4q22Wvtf3F+7X9pfoa/cahc/2ibpWi7pWibvfZcy+i1S9E2e+39rKEl48L2nntgccYzAmAmngHveQYAwGcZbsqZ4aaLrS3sfrd4uWeB+R579tsayNmzgHzLkE+5Rq1jlPfVus7RP6+ifRZbzrOlnOPo/UXnDIxnuOnLu3tp+eetY5T7X2v/r9bu/a199b7nd1r7bz2XWqJ9Lh3dPwAAzMJwkyRJ0rw9YbipDisVa0Mg1VmLFVuLJXsGerZYuy5rAy89izqj7baK9lu1rsXs1/IunzW0ZFvY3nP/K8rrou0BnsQzIOYZAACfZ7gpZ4abLtYauom2aQ3B7F20He2rWttn9PpqzwLsaD+RPftuDTJFov1EWp/L1vMdvT/gHIab3tvzPGrd+6p3z8gq2mbpyD209SzZ+xwuWte59b4BAOBODDdJkiTN2xOGm14XIPYMOC1fP0rrPKNtjoqOU0WvL1oLO0cN5qx9Dq2BnNmv5V0+a2jJtrA9+v15NeoeCDA7z4DvPAMA4BqGm3JmuOli0Rfiam1xdGvxc7TNmiP7i15fbV3g3TqP4ujC7q0DTtE+IqOHkUbvDziH4abYkXtU6/5XrR2jdb5bn09L0f5eRdv1aD2j3PsBAHgSw02SJEnz9sThpiJ63dIZf9tNa6gq2uao6DjVu//V+TsMN81+Le/yWUNLpoXtrd/bonVvAngSz4AfeQYAwHUMN+XMcNOFWou31xYwH9k2sraYujVMdGTbpdZ7Krbsb83aOb+Kto+M/kxG7w84h+Gm70bcn1r3wCratopev7TnPHufH3v23brGo56BAAAwC8NNkiRJ8/bU4abWAE8x+n+ZPTrGUlkwOVp0nOrd+7vDcFO0zdLyGowSHad6vSbRa5ai/R8VHaca/bNMHlkWtrd+h4rymmhbgKfyDPiZZwAAXMtwU84MN12otYg52mYp2qYaOVQUbbN09H1UPQvno+326l2gHm0baV3HrQvdR+8POIfhph+NvDe17oPF2vFa59z73pei/bwTbb+m9Vzac74AADAzw02SJEnz9tThpqJnIePIv/Em2v+V9g43jboma9e/tYA02uZKW4ebPs1wE3tlWNjeuudVI58HAHfgGfAzzwAAuJbhppwZbrpQaxFztM3SqOGXtfPoGZIadR7Rtku9+9kiOs6raLvIqOtQjd4fcA7DTT/reWZsdWRAqXUfLaLt3um5Bktb7tOtcz3j2gIAwNUMN0mSJM3bk4ebiuj1S6P+V9p7F05+0rv31jrXUYs79w43zX4t7/RZQ8vTF7b3/r6Ouu8B3IlnwBfPAAC4nuGmnBluutDRoaIi2rbqXbAebVv17GPEEM5Vi7rXPoMq2i4y4josjd4fcA7DTT+LthshOtZStE3VOu/e91/0PDOWRu57y74AAOAuDDdJkiTN29OHm3oWNY4YDOldPPlJ795X61xHLfAsx4/2X6xd89mv5Z0+a2h5+sL26Pfllb/5DMjKM8AzAABmYbgpZ4abLhR9Oa56FzG3Fm23BmDWFlNvGSiKtq963svR93FEdLylaJvI6GGk0fsDzmG46cuWZ8ZWR54RrXtpEW33qnUO7/Teq6NtqzOvLQAAXMlwkyRJ0rw9fbipWBuyqY4O9Nxp4KV1rkevRbV23deGcWa/lnf6rKHlyQvb1+5Bld8dIDPPAM8AAJiF4aacGW66UPQFuepdbF5E21et/UTbVJ86h6L1N1ZE24wy6tijh5FG7w84h+GmL1ueGVu17oetY7fOved+uvasWDu/nuvSeg6deW0BAOBKhpskSZLmLcNwU9GzwDHartedBl5a59pzPXusXfO1xaSzX8s7fdbQ8tSF7Wv3n8rvDZCdZ0C8PQDweYabcma46SIjFlpXrX1F2xR7t4sc3Ve0TXX231gx6jq0Ft9v+UyL0fsDzmG46Uu0zUjRMavWe2jdT4tou6Vom6I+o6I/q1739Srapjr7GQgAAFcy3CRJkjRvWYabegZSjixybO2/5xw/5VPnurawdO1az34tZz8/2OKJC9tbv6OV31UgO8+AeB8AwOcZbsqZ4aaLjFwkvncIZu1viuhd7F4dfT/RNtXWc9lq1Gcxehhp9P6Acxhu+swAztozq+f4rXv92j2153m5tv+1fbfOq+4fAACeyHCTJEnSvGUZbipa+ynKa6Jte0T7q47sd7TWos9Riz33DjcV0TbVDNcyOq9qps8aWp62sN2idoB+ngEAwCwMN+XMcNNFji7SftVaHH309S1HBnGObDtC6/jRNpHR7+Pq6wL0Mdz0meGmo8+t1j117T1Ery9et4leU+zZd/GJ6woAAFcy3CRJkjRvmYabirWBm2rvgsdoX5Xhph8ZboI5PGlhe+veVo26xwHcnWcAADALw005M9x0keiLcrVnMfPWQZhyjOh1xRnHX1s8v/XczxAdt4peHxn9Pma4LkCb4abP/O1CR4ebitY+ovvqlve99tqt+y5e9w8AAE9juEmSJGnesg03FdE+XkXbtRwZ5vmk1uLPUYs+j1yP2a/l7OcHvZ60sH3t97Ly+wnwM88AAGAWhptyZrjpItGX5WrvYuZoX9XrPqPXVHuHZqJ9VWvvaYYhnui4VfT6yOj3McN1AdoMN31mCGft+EW0zavWfTV6H2vDwK+vXdv/1n3vGTQGAIC7MdwkSZI0bxmHm1rDPcWexY+tRZXRNle4+3BTEW3zSXf5rKHlKQvbW7+TReu+A5CNZwAAMAvDTTkz3HSB1gLtvYvEe4dhzlpMvbbfItqm6D3vM0XHraLXR0a/jxmuC9BmuOk+w01Faz/Le+ue97z2LFy+rnUe7/YPAABPYrhJkiRp3jIONxU9iyDLcaNt32md59b99SrvZcu+7zDcNPu1nP38oNcTFra3fh+raFuAzDwDAIBZGG7KmeGmC7QWNEfb9Ir2V9WF0tGfVUcWUx95X9Hrq7MXeLeGiKJtIqOHkUbvDziH4abP/C1DowZzW/fW5fXoHVRaWtt/774/cT0BAGAGhpskSZLmLetwUxHt69XWfUf7WIq2OWJ5bcrgS8/53mG4qYi2W4q2OWLrtVyeSyTa5og9nzW03H1he+t+Vvl9AfjOMwAAmIXhppwZbrrA2oLmItqm19ri8+LMxdStY68N40Svr5aLwc/QWugebRNp7Wft/UdG7w84h+GmL9E2I418fvW+l+jPitbxom2q8uet45/93AMAgFkYbpIkSZq3zMNNPQsie4ZwltYGeoqt+1vz7vxbx2i971ELQNeuRc91mP1azn5+0OPOC9tb97Jq1D0N4Gk8AwCAWRhuypnhpgtEX5qrowNGRbTfHkcXU7eGcdb2P3LR+la9i9xbDDdBToabvkTbjBQds9r6nOh5Xq09l1r337VrVba98pkHAAAzMdwkSZI0b5mHm4rWgEqxZYCkZ6HliEWWPccp123PtiPOr1i7tj3XdPZrOfv5QY87L2yPfhde+d0AeM8zAACYheGmnBluukD0xbkasai5tQD9nWhfW0X7rdYW0K8t9C6ibUaJjrcUbRMZPYw0en/AOQw3fTnzntS6H/a+h6W9z8re53S0bY897wUAAO7KcJMkSdK8ZR9uKnoGnLYcY/T+XvUMuxTvjtHa/si5LR0dbipmv5aznx+03HVhe8/vXu99BiArzwAAYBaGm3JmuOnDWoupRyxqbi0Cj4z6myKifS9F2xSfuC6RnmsVbRdp7Wvrwv/R+wPOYbjpy1n36eKMAdie+39k1PWKjHoWAwDAXRhukiRJmjfDTf0DJNG2kd797Vl02boW1do1aZ3f0etZrS087X3vd7+W1VXnBy13XNi+dm9ZirYF4GeeAQDALAw35cxw04e1FjuPGlhpLQR/Fe1jjyML0KPXV2ct+O5ZfB5tFxk9jDR6f8A5DDf97Kz7UnSspWibHlsHkLY8i1r38EjvZwEAAE9huEmSJGneDDd96Rkk2TKg0juYUpTXRvuoyvvbsr/WebYGckYNy6wtPn3KtSxmPz9Yc7eF7a371yf5/QPuzjNgP88AABjLcFPODDd92JHhny22LKoeOTjUWii+tvC9dW1GL5rvvUbRtpHW/rae/+j9Aecw3PSzMwZRW8+GI8fsfQ5UW4ePeq5Zdca1AwCA2RlukiRJmjfDTT8rixSj/S+1hlOWevb3qmyzFL1mTdkmOpel1sLQT1zPnvNc2nstlqLXrCnbROcS2bv/peg1a8o20bnAFnda2D7TovbC7yBwd54B+3kGAMBYhptyZrjpw6IvtkvRNntF+49sXay9prVQfO1YPYvAo+32ai2Yr6JtI6OHkUbvDziH4aYfjbw3te6DRbTdFr3vq4i2X9Nz/lXv5wAAAE9iuEmSJGneDDf9KNr/qy3H2zO0slfvIsvW4tBR13Ptve9ZEDrjtVya/fwgcpeF7bMtai/8HgJ35xmwn2cAAIxluClnhps+LPpiW43+Wxt6FlV/+pitxdvRNkujzrd3sKmIto+03nv582i7d0bvDziH4abvRtyfWvfAYsQzoec4xd5jRfuKRNsCAMDTGW6SJEmaN8NNP+pZPLl1MeMnhl62nFPrPY66nmvve++C0Nmu5avZzw9e3WVh+yd+t7byuwjcnWfAfp4BADCW4aacGW76oNbC8DP+1oboOEtXHDPapupZPH90MfuWwaYi2kdk9DDS6P0B5zDcFDtyjyrb9tyrR90He44VbdejdS8vzngWAwDAHRhukiRJmjfDTd/1LKDcuqDxzEWZW9//nYebipmuZWT284OlOyxsP/N36ogj9zGAGXgG7OcZAABjGW7KmeGmD2otDD9jcXPrmNE2R0XHWYq2WepZZF5es3VRe+9i+VfRviKtBex7zjfaT7V1f8A5DDe9t+c+1Xuccj+Ptt+jdb89eqxon0vRNgAAkIHhJkmSpHkz3BSLjvNq63HL60cu0CzXZc97L9tE+6tGXc+193p0Qegs1/Kd2c8PqtkXtpef++h3YgZH72MAV/MM2M8zAADGMtyUM8NNH9QarDlrWCU6VnHGMFVx9H22FpkvlWO13kfZ39pi+db5RvuMtM576+c7en/AOQw3tZVtW/es8prW/Xgp2scRa8c+er9du3a91x8AAJ7IcJMkSdK8GW6K9S6m3HPsss2RwZejgy6t93Zk30tr73HUgtCrr2XL7OcHMy9sLz/70e/FLEbdxwCu4hmwn2cAAIxluClnhps+KPpSuxRtM8K7RdXRa0dYW8Rd9Czk3rLAvSrbLEWveVVe1zrf6Pwio4eRRu8POIfhpi+te1a151796oz737vzL+cYvX6raN9F9FoAAMjCcJMkSdK83WG46cnK8EqxNgBTX2PIZd3s13L28yOn2f/WDgDO4xkAAMzCcFPODDd9UPQfIqtRi6cj0YLtTx9vqXch/d5F773qNTDcBBxhuOlLeU3rvjXCmfe+6LnTe31aous3at8AAHBXhpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDd9SGtR+JnDRsXrgu0zF4f3LG6PtoucNeC0vN49C/Z7tN731ms+en/AOQw3famv63kG7HX2fS869+h1e5y5bwAAuCvDTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmz6ktSi8d3H5XstF1WcPUhXL9xaJtnmnde22en3/vQv2W1oL+rcuyh+9P+Achpu+LF/bun/t8al73nKodvSz+cx9AwDAHRlukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPc9CHLBc2RTyxyvuJY7+wZ9Gldwx7Rey//LHpt9fr6d1qL+fe852g/1db9Aecw3PTl9fWj7ttlH6/7PtPy3hv9+RFn7hsAAO7IcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4aYPaS3wjrYZrS40j/5stNYi+L2DOWW/exbLl+3eHXPrgv13lovWI1vf8+j9Aecw3PQl2qYo96o99+2yzVX3uXLss56X5b31XnMAAHg6w02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpuSedKC6vJe6gL010XxdfG4ASDgbHcYbppBuR/X+3Z0zy7/vPz5DM+pM58dM7w/AACYheEmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ8/Zf+Bf/Z9++q/0jf/Iv/vSP/rN/CYCH+w/9k3/OMwAgKc8AAGAW0fcSw03Pz3ATABxguAkAAGAfw02SJEnz9kd+45ffvqsBAAAAAFzl7/ze3/3D/3qpp2a4CQAOMNwEAACwj+EmSZKkeTPcBAAAAADMxHDT8zPcBAAHGG4CAADYx3CTJEnSvBluAgAAAABmYrjp+RluAoADDDcBAADsY7hJkiRp3v7oP/evffuu9g/8U3/hp3/wnwbg6f6+P/Yvf38G/Ik/H74WgGfxDAAAZhF9L/n9f/vf+cP/eqmnZrgJAA4w3AQAALCP4SZJkqR5+9N/+d/69l3t//r/+b//9P/8vf8HAA/3J/77/1PPAICkPAMAgFlE30sMNz2/NMNNv/5f/x/89Md/85cAMNR/4B//cTq8/N/R6wAAAPhR+e91y3+fKgw3SZIkzZHhJoC8LGwHyMszAACYheGmnD1yuOnP/PbvfvthBgAAAADmVv67niRJkq7PcBNAXha2A+TlGQAAzMJwU84MNwEAAAAAUzDcJEmSNEeGmwDysrAdIC/PAABgFoabcma4CQAAAACYguEmSZKkOTLcBJCXhe0AeXkGAACzMNyUs0cON/2Lf/X/+O2H+e/5z/7mT3/vP/YvAcBQ/57/9I/Pm/J/R68DAADgR+W/1y3/faoo/11PkiRJ12e4CSAvC9sB8vIMAABmYbgpZ48cbvprf+Nvf/th/tf/6r/50+//rb8JAEP9Q//Mv/rD86b839HrAAAA+FH573XLf58qyn/XkyRJ0vUZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9zEHf3X/vn/6k+/8iu/8la0DfCdhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+Em7shwE4xhYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZriJOzLcBGNY2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW7ijgw3wRgWtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpu4I8NNMIaF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SbuyHATjGFhO0BengEAwCwMN+XMcBMAHDD7cFP0/7yr/uxv/KlwG2gpPzvRz1QVbUMf1xYAyMRwkyRJ0rzNPtz023/9f/wHoj8jL8NNMIaF7QB5eQYAALMw3JQzw00AcIDhJjIygHMe1xYAyMRwkyRJ0rzdYbip/PcyA04sGW6CMSxsB8jLMwAAmIXhppwZbgKAAww3kZEBnPO4tgBAJoabJEmS5u0uw02FAScqw00wxlMXtpfnRblP/Oqv/Wp4jyj/vCiv8WwBssr8DCh/XkTbAwCfZ7gpZ4abAOAAw01kZADnPK4tAJCJ4SZJkqR5u9NwU3GnReiv5/7Kgsr9yrWLrmkVbQN896SF7eWe+24he4+ybbRfgKd62jOg9f3wHfd/ALie4aacGW4CgAMMN5GRAZzzuLYAQCaGmyRJkubtbsNNRfS6GRluOo/hJhjjCQvbW/farcoi97LP6FgAT/KU4aa9Q02vfDcHgOsYbsqZ4SYAOMBwExkZwDmPawsAZGK4SZIkad7uONx0l/91dcNN5zHcBGPcfWH7kb+pqcXf5AE83d2fAeW79ujngHs/AFzDcFPODDcBwAGGm8jIAM55XFsAIBPDTZIkSfN2x+Gm4g4LDw03ncdwE4xx14XtrfvrKBa5A0925+Gms58DZf/RcQGAcxhuypnhJgA4wHATGRnAOY9rCwBkYrhJkiRp3u463FTMvujccNN5DDfBGHdc2P6pwaYli9yBJzLgus69HwA+x3BTzgw3AcABhpvIyADOeVxbACATw02SJEnzdufhpmLmAafWuRtu2s9wE4xxt4Xtn1rQHrHIHXiaLAOu5d8XlqLXvOPeDwCfYbgpZ4abLhR9+e3167/4xR8oC2CL3/mtX/6B6DgAnMdwExkZwDmPawsAZGK4SZIkad7uPtxUzDrg1Dp3w037GW6CMe62sH3rovRyr4gWppd/Vv5sy/5mfdYA7HXH4abe+/a7+3/V+i5ZufcDwGcYbsqZ4aYLRV9+R6jDTtExARjLcBMZGcA5j2sLAGRiuEmSJGnenjDcVMy48NBw03laC1KjbYDv7rSwvXcherG2oP1V2W/vYnmL3IEneeKA69b79Bn7BAC2M9yUM8NNF4q++I5myAngXIabyMgAznlcWwAgE8NNkiRJ8/aU4aZitoWHhpvOY7gJxrjLwvZPDLr2LHAvtgxOAczsTsNNPc+Bvc+Anvu/ez8AnMtwU84MN10o+tJ7hl//xS8MOQGcxHATGRnAOY9rCwBkYrhJkiRp3p403FTMNODUOnfDTfsZboIx7rKwvfU7X4y4/3/qOAAzuNNwU3Q/Xjp6b24NOLn3A8C5DDflzHDThaIvvWcy4AQwnuEmMjKAcx7XFgDIxHCTJEnSvD1tuKmYZfGh4abzGG6CMe6ysD36PV8aed9vLXAv3L+BJ7jLM6D1nXrUM6B1/3fvB4DzGG7KmeGmC0VfeM9mwAlgLMNNZGQA5zyuLQCQieEmSZKkeXvicFMxw+JDw03nMdwEY9xhYXvr972ItjuitcB95DAVwFWeMuBavnNH2231qSEqAOA7w005M9x0oegL7ycYcAIYx3ATGRnAOY9rCwBkYrhJkiRp3p463FSMWui4l+Gm8xhugjHusLA9+h1fOuNe3/PsibYDuJM7PAM+/X3a394EANcw3JQzw00Xir7sVr/+i1+E25TBpKosfm0tgH0n2jcA2xluIiMDOOdxbQGATAw3SZIkzduTh5uKMxa99/r0YsxMDDfBGLMvbL9yyKi1wP3K5wvACE8YcI22OSo6TuVvbwKAcxhuypnhpgtFX3ard8NN79Rhp2hfEQvaAcYw3ERGBnDO49oCAJkYbpIkSZq3pw83FVctQDfcdB7DTTDG3YebzryPtu4z7uHA3XkGxHzPBIDPM9yUM8NNF4q+6FZbh5uWeoecykBUtD0A/Qw3kZEBnPO4tgBAJoabJEmS5i3DcFNxxYCT4abzWHQKY8y+sL31u372vT06ZuUeDtydZ8B70fEq938AGM9wU84MN10o+qJbHRluKsrgUrTfJYvaAY4z3ERGBnDO49oCAJkYbpIkSZq3uw83/eqv/Wr4zyOfHnAy3HSe1mLXaBvgu9kXtrfu8dE2I60dv/xZtA3AXcz+DIjuvdXZ92D3fwD4LMNNOTPcdKHoi251dLip6BlwirYDoJ/hJjIygHMe1xYAyMRwkyRJ0rzdfbipDLm0XrP0yQEnw03nMdwEY9zhb+1YE20zksXtwJPN/AxofY8++zt9ecZEx62ibQCA/Qw35cxw04WiL7nViOGmorVAtgxARdsB0MdwExkZwDmPawsAZGK4SZIkad6eMNzU87qlsxdDVr3nznYWnMIYsw83Xc1wE/BkMz8DWt/1PvF9Pjpu5Xs8AIxluClnhpsuFH3JrUYNNxXR/isL2wGOMdxERgZwzuPaAgCZGG6SJEmat6cMN/W8dukTCyINN53HcBOMYbhpXXR/qdzDgbub+RmwNlxaRNuMZsAVAD7HcFPODDddKPqSW40cbrJIFuA8hpvIyHeL87i2AEAmhpskSZLm7UnDTT2vXzp7wMlw03kMN8EYhpvWRfeXyj0cuLuZnwHRfbf61P3X900A+BzDTTkz3HSh6AtuNXK46Xd+65fhMapoGwD6GG4iIwM453FtAYBMDDdJkiTN29OGm3q2WXrddiTDTeex2BTGMNz0XuseXv482g7gLmZ9Bsxy//V9EwA+x3BTzgw3XSj6glt9crip/Hm0HQBthpvIyADOeVxbACATw02SJEnz9sThpp7tql/9tV8Ntx9h77nTZrEpjGG46b3o3rL0qcX1AGcx3NQWHb/yXR4AxjHclDPDTReKvuBWI4ebiugYleEmgP0MN5GRAZzzuLYAQCaGmyRJkubtqcNNRWvb6qwBpyPnvkc5XlH2W95TdMzyz4srFmPWcyvenVv982j7pXf7qKJtgO8MN8V6nh/RdgB3MuszYKbvedHxq57vrABAH8NNOTPcdKHoC25luAngHgw3kZEBnPO4tgBAJoabJEmS5u3Jw01Fa3FkdcaA09Fz79X7HiOfGHTqGRKIrJ1X6z1H2wDfGW6KlXtjdG+pzr5vAnzCrM+AtXvwGd/Z18x0LgDwZIabcma46ULRF9zKcBPAPRhuIiMDOOdxbQGATAw3SZIkzdvTh5uK1iL1avQCxbOHm/YODUXKey/7i46zV9lf77VfE52X4SYYw3DTdz331tH3S4ArzPoMiO671aeHS9e+y47+dwcAyMxwU84MN10o+oJbfXK4KXo9AH0MN5GRAZzzuLYAQCaGmyRJkuYtw3BT0TtkM3KR4qhzj4wYGoqMev+t4aOtXs/LcBOMYbjpRz2DTZ9eWA9wFsNNbb5zAsBnGG7KmeGmC0VfbquRw00WyQKcx3ATGflucR7XFgDIxHCTJEnSvGUZbio+PeB0xnBTz8L7o46+/97rvNXyvCw0hTEMN/2o5/5V7sPRtgB3Y7ipzXdOAPgMw005M9x0oejLbTVyuKnsKzpGMfpviALIxnATn1I+r9/5rV+Gf/ZpBnDO49oCAJkYbpIkSZq3TMNNRe/gzdEBn2L0uX9isKna+/57r+9e9bwsNIUxDDf9rOf+9elF9QBnmvEZ0Pq+++kBU985AeAzDDflzHDThaIvt9XIoaNo/9Xohe1l0XVR9vtuqKr882L0sY+o5xudcz3XKxaUL69ldG7OD6739OGm5e/56/b1d79nP2cr51DPMzrXer7lNXe9H81yrYtyHtE1rqJtjiif2drPYlE/+yuuUT23d9elnlfPub3bRxVtAwBwV4abJEmS5i3bcFPRO4Czd8CnGn3uWweHyv6XyvZb9rH1/ZdjRPtpqefVe371/UR/VkXnB3xnuOlL7/BotC3AXRluapvtfADgqQw35cxw04WiL7dVWQQbbbPVpxbIto6zZtRC5LKfaP9FdD3LQuS1bd4Zca5r9p5XVc6v7CPa9wiznx982lOHm8qfRdusKfeGs++RS1fdj6J9LZ1xDcp51v1Hf35U6zqWP1++vvXzsXztEXt+DqtP/DwuP5ct1s7rU9cWAGAGhpskSZLmLeNwU9EzRFOU10Xb9xh57r2DQ+V8exZZ9u6vd8Fm670u9ZxjOb+1z6j1+UX7BL4z3NR//+q9HwLcheGmttnOBwCeynBTzgw3XSj6clu9LiLeo7Xg9hPH2KKcz55F5lXZPtpv8fpe117b68i5vjPivKozFnTPfn5whacNN426r59xj6zKvkfej4ot59saPimi7Y5Yvt8z7p/Lc4+8Xp/WNVi+do9RP4dFuXajfx5H/QxG53X2tQUAmInhJkmSpHnLOtxUtAZkqr3HGHXurf1UWxdXlte3rkH582jbV9G2ka3nWPR+TkvRfoDvsg83nXV/BbgDw01ts50PADyV4aacGW66UPTltioLZqNtevUsCj66OHr0wvJq73tfO5/lPkee96jF0j2f114jznH284MrPWm4afR9fe/9fM3oc1zacr7R9kuj722v+49es1frmkbX5cwBnLM+4y2f75rWe9/q9bwMNwEAmRhukiRJmrfMw01F7+DMnoWLo8695xyPLKxs7b91nuXPo+2Weoek3tk64BTtA/gu+3BTz73l6P0LYFaGm9pmOx8AeCrDTTkz3HSh6MttdWQBbs+i2yP7P3PQpdpzfmWbaF9F3d/aa/Y6uoD9jHN6deQcZz8/uNpThpvO+l2v99+jPvHsqXruST3P2mi7PaJjjbxvvu77VXSsMwZwPvEZH/15/MTvyRnXFgBgVoabJEmS5i37cFPROzizdfHiiHNv7aMYsagy2m/VWtgfbbM0ajCg93Mqou2B7zIPN/XcU0bdvwBmZLipbbbzAYCnMtyUM8NNF4q+3FZ7Ft/2LLSu9i6K/sTC42rrNVhbcFz+bMv12WLPZ1WtnfNoez7z2c8PZvCE4aazf9eP3CeLTz57qp57UrTd0qj7WrTvo9e0aj0b3x1n9ADOJz/jvdfuU78no68tAMDMDDdJkiTNm+GmL9G+I1sWMI4499bfijTq/beOE21TtLYrou326h1wirYFvss63NRz7yqibQGeYtZnQHQ/rkZ99+1luAkAPsNwU84MN10o+nJbrS28LQuAi7L4tbxu62Lbuph9jz3HWtp6vuW10XlEtp7bUj2vKnrNmj0L2Lcu5C7nFV3P6LXvbDnP2c8PZnH34aYi+rOl8rv8KnrdmrJNdH4tW+9FI7XuSa1rt/c9L60dY8Q9M9rv0rtjtN57tM2arT9T9We32vpzufWzab3fd+p59Z5ffT/Rn1XR+QEA3JXhJkmSpHkz3PSldZyl3kWMI8492m4p2mavtcGhd397SfTapTMWfEbHeRVtB3yXcbip935/xv0LYCaGm9paw7DRNgDAdoabcma46ULRl9uzbV3Mu9S7sLcco2fBde/+ehdv9ywaXuo5z/Ln0baRaPs10T4i5TpF2y+V8+x5/1s+/2j7yFXnB7O483DT2u9l+d1u3SPLa3p+t6utv+Nb7sFF2f+78y7/rPxZtN2a1jWItllqbd/S+oyibXq1rsfa59XaNtrmnd7PpZxPz/Xs3V/vZ1NeF20f6TnHcn5rn+vanxXRPgEA7spwkyRJ0rwZbvpZ74L3omfR+9Fz/+R7L9YWb0bDTa3zezcQdVTP394UbQd8l224qfc+33OPB7g7w01ta9+Pi2gbAGA7w005M9x0oejL7ZnWFim39C7s7V0oXJXXtxbx9p53az9LW8+zZ99b9tmzv973vdSzoLvnPGc/P5jJnYebIuV3e8/vYc99oxh9ryy2nnN5be++i2gfVeu+Vv482q5HOc9on0vRdr1a12Dtmrbed7RNpOc9Fls+36LnMy5/Hm37Kto2svUciy0/h1W0HwCAuzLcJEmSNG+Gm37Uu/C9aC1+P3ruVyymjI5Tvb62dX5nDgdEx1uKtgG+yzbcFN0vXo1+rgDMatZnwJ6/TfQsV3wfB4CMDDflzHDThaIvt2c5sri66Fl8u2dRb9Xaf8/59y4Q3nueI86xKMePtl8qx4q27dGz/2i7avbzg9k8abjpyO920XMf7j1Gz76Kvff0oud+VLTu79E2S3vPseca7H2+l+2i/VWtz6m1fbRNpOc9HvmMW/tvXb/W+yxa16ql5xosRfsAALgrw02SJEnzZrjpu1EDTkfPvfU3FEXbHBUdp3p9r1ecX3XlseFJMg03te4bxacXzQNcyXBT20znAgBPZrgpZ4abLhR9wR3t6ILbomfx95GFx1W036rnffQsDj5yPVrXoXeBees8R3xmrcXYa5/X7OcHs3nKcNOI3+2idQ8pWvfLnudOMeJeMeJYrXta7/PhVbSvSLRtS+tzal3b1nuOtnnVc+1HfMbRfqvWz320zdInf2+qaHsAgLsy3CRJkjRvhptiIwacjp57tM1SWVA5WnSc6vV8o9dUZV/L145WziU6bhVtA3yXZbipdX8rzr5vAcxm1mfATN/zouNXZ/17CABkZLgpZ4abLhR9wR2lLJIdsSC4OGvR9qujC6V7FgZH220R7XMp2uZVtN1StM0e0b6rtc8sev1StM0e0b6rUT9T8AlPGG4aNaBRte7HreP13M9HPeOKniGb1jlH2yxF26xpPROXtl6L1vvt+Xk4+swuWvsY9SzYe649n0G03V49P/dFtC0AwF0ZbpIkSZo3w03vHR1wOnu46dNezzd6TXX2Ys+y/+i4VbQN8F2G4abee3l0Hwd4MsNN61rPD88NABjHcFPODDddKPqCu1dZEFsW4Y5aCLwUHW8p2mavtYW9rcXWrUXBre177F0gXbW2H/n5tRavR4vhZz8/mNEThpvO+H2LjrMUbVNFr18643xb96Ri7bij75/RPt7Z+nxrPS97zrX1fqNtXkXbLUXb7LX2nt9dv+i1S1f83hTRdgAAd2W4SZIkad4MN63rXRQf/Y0fR86997iftHyPrfMrf758P6O1jh9tA3z39OGm3nvp2fcsgBnN/AyI7tXV2d//q6u/7wJAJoabcma46ULRF9yqLLQtC4er6DVLWxc292ot9u5ZAL3F2nttvce1hcvFiHNtfRbRNkutc4y2OSI6RhUtyp79/GBGdx9uGn0fr1r3y3fHbW131vOuOPIcaT0vi2i7SOsaRHrvma3z7L2+rXOMtllqncfatd5j7Xyj9zzqOm3V+hksou0AAO7KcJMkSdK8GW5q610c/zrgdOTce4/5STMNNxXRcavo9cB3Tx9uiu4Prz61SB5gNncdbor+RwXOUJ4P0fGraBsAYB/DTTkz3HSh6Atu9bpotmfR9OiFwMXRxct7RMepotdXrQXB0TZbtT6H8ufRdlW0TfXpzy86XvS6aobzgxndfbipdd86Ijpe9W445BP38nd6nrXRdtXaPa3ovdY9Ay6veu+ZrX337qf1XqNtlo5uv0d0nOr1taM+yz2i4y1F2wAA3JXhJkmSpHkz3NSnd9hoywCQ4aZjouNW0euB75483FTuWdH9YelTC+QBZjTzM2DtHv6pe3d07MpgLACMZbgpZ4abLhR9ya2iRd+thbbF6MW2Vywyj45Trb2/T5xra+H72vm1tu1dUL7F2s/M68/Y7OcHs7r7cFO0zSh77svR66pP3Bdaz9oj9/ki2m5pbR8jnnPRdtWW69u6TtE2SyPey1bRcarXz/WK86uuPDYAwKcZbpIkSZo3w039ehbKF3XBpeGm7+9rpOi4VfR64LunDjf13K8/tTgeYFYzPwPK9+To3l1F24w007+DAEAGhptyZrjpQtGX3OrdAuPWgtci2m6vaP9L5XxGi45TrQ3YtLaNttmqtXB9bdF7ayF48XotRoiOU93p/GBWdx5uWrunjrB1AKb1+rPPtzhyny9a76G1/dp9sWy7dn5H9l1sub5bP9tX0TZLy+fEKNFxqtf3Hr2mKvtavna0o9cWAOBODDdJkiTNm+GmbbYMOB059xmGh1qi86rO/lxa1yfaBvjuicNNrftDNcN9FOBKsz8Dont3dfZ3zbL/6LiVZwgAjGW4KWeGmy4Ufcmt3i2cXVvUXI1cdBvt/0prC6/XFi6Puiat67+2sLy1WPkKdzo/mNWdh5tawzBHbb1nzjLUER27WnsOFa333HoeRdsUy+2iP6+W+3oVvb7a+pw8+llF21zp9XONXlO1fgaOmuX3AADgEww3SZIkzZvhpu22DDhF/7xqnXu0TXXF+34VnVd19vkZboIxnjbcZLAJoN/sz4C179Llz6JtRomOuRRtAwDsZ7gpZ4abLhR9ya3WFhm3Fr0WIxastxZoX2HtupQ/i7Ypti7afmfrQv2ltfO7yvJ8Zz8/mJXhpnXRcavXIZHWfWj52jNFx656Bltaz+l3131tu+Vx1163Z9/Fcv89WvuLtqnKOUbbXGn5PaF1fmf/3rSOH20DAHBXhpskSZLmzXDTPr0DTmvuPtx05YLT8v6j41bRNsB3TxpuMtgEsM3sz4DW972z7uez/vsHADyZ4aacGW66UPRFt2oN4/QMohxdfDv74uNXa9ekdT17HVnw3POZfdryfGc/P5jVnYebotePFh23eh2o+cR9vMfR82g9K97tI3pttXzd2v7fDSlFr632XFvDTd/f10jRcavo9QAAd2W4SZIkad4MN+13dMCpde5XDg/1aL3/aJtRouMtRdsA3z1puKnnnjzDvRNgFnd4BkT38uqse/pVQ1UAkJnhppwZbrpQ9EW3ai007lkYvGex8tLsi49flT+LtimOXovqyILntfO7yvJ8Zz8/mJXhpnXRcaunDjcVreGf1/vb2uujgaW112/ZdxHtv6W1z2ibqpxftM2Vlp9r6/w+8WyKjltFrwcAuCvDTZIkSfNmuOmYnsX07xwZbiqibT6ptfDzrM+m9TNRRNsB3z1luMlgE8B2d3gGfPr7cOt7pmcJAJzDcFPODDddKPqyW/Usnu5ZHLxnwXI1++LjVyMWo7ccWfC8dn5XWZ7v7OcHszLctC46bvX6jPrEfbzHiPNoPS+2vPfl66q1/X/iuhpu+v6+RoqOW0WvBwC4K8NNkiRJ82a46bieRfWR1rlfNTxU3k/vvqPzqs5a/Nm6LkW0HfDdE4abeu4JRbQtQGZ3eAa07vGjv2+2vtf7W5sA4ByGm3JmuOlC0Zfdqnex8dqC5WrvItwZFvduccbi7VdHrsknzu+I2c8PZnXn4aaz7+Nb75lHBmZGio5dbbkftt5Pff9r12nteNHrq/qa1jm8DkL1OnO46fXn4grReVV7r1mv1vWJtgEAuCvDTZIkSfNmuGmMPQNOPecebbcUbXPEcgFpeU+tBZyfXgDa+nmoom2B7+4+3NR7Txh9LwJ4grs8Az71fbPnmRJtBwAcZ7gpZ4abLhR92a22LJ6Otn8Vbdcj2ld19uLerT4xnHNkQfaRheCfMPv5wazuPNx09ZDG6z1zlvtQdOxqyzVrvf+6r7Xn1+s+l9b2X6/tWc/Go59VtE119s9lj+i8qrPPr/VzE20DAHBXhpskSZLmzXDTOFsHnHrOvbXP8ufRdnu8u9Zrx1gOQ70TbbdX7zWOtgW+u/NwU88i9GLUoneAp7nLM+BT3zej/S55ngDAeQw35cxw04WiL7zVlgXHrUWwxd4FzNG+qhkWHy+dtYB7qXWt62LyyNGF4Geb/fxgVoab3mvdV17vmUfusaO0znnrNeu5t0b/vOh5dkXbVa3reeTz73lfa6JtqiPnNconvlO8c/TaAgDcieEmSZKkeTPcNNaWAaeec+9ZvD9ioWXPcd6db/TapVEDWFuubbQ98N2dh5ui3/1Xsz0jAGZyp2dA63vg0e+bZ+8fAFhnuClnhpsuFH3prbYunG0thC32LBa+cnHvVp841yML72dYtL9m9vODWd15uOns+/jafbl4fX3rPvSJoZet59zSek9ret7v2vP/zOdi63tHtM3Smec2wuifgy2i4y1F2wAA3JXhJkmSpHkz3DRedJ6R3nPvGeo5MuDUM9hUvDtGz/mdveD0VbQP4Lu7Djd94r4D8HR3egb0fF/dc98v++15phz5rg0AtBluypnhpgtFX3qrPQt7Wwtxi60DKlcu7t1q7Vz3XM/IkQGgGRbtr5n9/GBWdx5uKqJtRth7T4leu7R2nx0hOma191nSGgSKbDlWtH3L0Xt66z1F2yzN/v2i9f6OXr93Wr83RbQdAMBdGW6SJEmaN8NN4/Usvix6z713f3sWdJZziPb1qrWgM9rmVTm/rQtDy+t7Fpy+ivYFfHfH4abee0K0LQA/u9szoPf+3/t9s/c79oz/vgEAT2O4KWeGmy4UffGt9iyg7lkQW0TbvnPV4t7y/rfue22h9J7rGWld49ai+2ibpWibo8p1LHoGAqJzWoq2OWrL+cGM7j7cNOr++Kr8XkfHq8qf79nurPMt1p4jxbtzbul9Pi9tOVbrmr0acQ1bx4y2WWptv/dat5T33rvv6Lyqq35vimg7AIC7MtwkSZI0b4abztGzWHLLufcOIRWt/ZZz27K/nqGp3sWhRdnf0XNsLW6N9gl8d7eF7VvuNWfruTcCzOzJA67vvm+e8T0YADjOcFPODDddKPryW+1dNNuzKHbrvqN9LEXbHLF8D+Vce4deymuX57U0ahFya4F661xbn0/vgusttux/9vODGd19uKkYPVzYM8zz7phHtj2i57jRdr1a99dX0T7e6Tn3pRH32tb7ibZ5FW23FG1zxPKce75frH2vKEb/HPZ+jtG2AAB3ZbhJkiRp3gw3nWf0ufcu5lwq2yxFr1lTtonOJbJ3/0vRa16V17UWpUbnB3x3p4XtMw02FeVeFJ0nwF3ccbipiO7JZynPnugcAICxDDflzHDThaIvv9WRYZzWYtxiy4Lc1v6OnOurdwt7e46xdp6jzrG18Lh1XXsWLm/5bFreXZN3x5j9/GBGTxhuGnWPrNbux0VruKa1fTHyPtFz7zt6jXqOUe0ZPuq5ZsWoz3rEcFPrnEeda/Hu+q8do/Uei2i7vXo/w2hbAIC7MtwkSZI0b4abzrV2/nvOvXcAaIQ9C/fPPr96ToabYIy7LGyfbbCpMNwE3N1dh5s+9Uww2AQAn2O4KWeGmy4UfQGujizo7V1A3bswvGd/vfta03OctQXfa4uCRy2Qbp1jz3VoLV4eda6t4xR7trv6/GA2TxhuKj75u926V/Y8D4qee27LJ4/VMyxTRNu29L6PPYNTkRHDTT3n/KnP+N11iV679MnfmyraHgDgrgw3SZIkzZvhpvO9ew97z/0TA05HFu2fdX7LczLcBGPcZWH7J+57Wx25TwLM4K7DTcXZA04GmwDgsww35cxw04WiL8HV0cWyPQt5txxjxGL1NT3nW6wdY+0cj17PqnWePdeg570ePd+ez+vdMWY/P5jNU4abiqO/dz3DO73H6B0E6rnvvtN7jFH3o7Pvr9H+XkXb7TFiuKko7zfafunIZ9xzzYt3x+g5v6M/Hz3HWIr2AQBwV4abJEmS5s1w02dE7+PIuZ+50H/EYs7R5/c6RGC4Cca4w8L2GQebCsNNwN3debipOvs7JwDwGYabcma46ULRl+Hq6ELZomex7Lu/qeBV7+LgPec9agH72vsdcT2L1nVonWPV89kUvfuryut79t26HrOfH8zkScNNxZ7fv97f7WLLfSPaPlKOvWW/W8539P2oddwt7+NV63na+8zvMWq4qbzfaPtXez6HUd8vom1ebf0ZLLb8HC5F+wIAuCvDTZIkSfNmuOlzXt/L0XMv+xu5oLOcz4jBpmrU+UXnZLgJxph9YfvrfXMmFsADd/eE4aai9b2w153+vQIAnsZwU84MN10o+kJcjVpMHe37Ve9i3N5FwkVrAXU55pb99VyPtQXCo65nOe9o/9WWhc3R9pFy7q39lmu59v5f9ZxntF3kqvODWTxtuKkqv7Oj7+Wt/b0q+4/2s6YcI7qH1HPdci8qRt+P1t5TObdomy2i/VbR6/dqfe7RNu+M/Bmqn3O0baTnmq99Zq9G/N60fkajfQIA3JXhJkmSpHkz3PRZy/cz6tyPDhGV84gGiEYp+99zfmvnVf4s2qaKtgG+m3lhe+v+fzXDTcDdPWW4qWp9P3zn7O/CAECb4aacGW66UPTFuBqxwLnoXZAbbRtpLbiNlG2WotesKdtE5/Jqbd+9+2hpXc/y59F2kS2LpZfqdayi16zpPcfZzw9mcefhpjJg0fN7evT3uijbRefXsvdeNMJZ96N317A1FNPj3dDMiH0vrQ3nFNE2a/b8XNWfxyp6zZqyTXQukb37X4pe86q8bvS1BQCYmeEmSZKkeZt9uOmJ6oL9spAy+vMjyj6LtWGi+porFnHWc3t3fledF2T1tIXtAPR76jOgftd9952z/DPfOQFgLoabcoJczFAAAP/0SURBVGa46UKvX5KXyuLWaJs9Wotkiy3H612gO8Ko8xp1PVuL7LcuhP/0ov2nnR/M4O7DTeU1Z9/Xj96DP30vKs68H0Xv5+znVPTaI84YwDn753Bpz/X+1O+J4SYAIBPDTZIkSfNmuOkadVFl9GcAn2K4CSAvzwAAYBaGm3JmuOlC0YLVatQi56pnQe6WhdxnL/Attl6DtXMadT1bC+z3LIZv7XOUPedWzH5+cLUnDDcVZ93XP3X/HekT96PX6738LI56HY4Zue/qrAGcs34Ol478TH7i9+SsawsAMCPDTZIkSfNmuOk6/tfigatZ2A6Ql2cAADALw005M9x0oWjBanVk4W2kd1H4lgXdZy5A3rOwfO18Rl3P1nXcuyC+9/PZY8R7n/384EpPGW4qRt/Xz/j9Hn2OS5+8H73eV6PX7HXmvqszB3DO/Iz3PqeXzv49MdwEAGRiuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcNOFogWr1RkLrFuLZYutxy2LhEcu8i3nuHfh8dp5jLqerwvGXx1dNN3zGfUq77nsLzrOXrOfH1zhScNNxajf8xFDJO+07sVblfvRmef7Tn1ujXpGLdX3dtZ9tvVzEm2zRfk86vUZoZzvyM941PlF53T2tQUAmInhJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTReKFqxWZyx0LnoW4u459tFFviMWHa8df9T1LOcY7b86+h6q1sLmNeW9lu2j/Y4y+/nBJz1tuKna+3v+yd/vcs89ej8add/eoz5Toj876sx9F63rHm2zR3kfa8/3lnKeZ37GZf97zm/tvD51bQEAZmC4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwE8OVRbmtxb71NWcuOH6Ccn3qtYquY1GHhYpoH2ea/fzgE2Yfbjqq/O6W3+N39/T6+331/bzej96dZ30P9XyjfVyhnFP0z0eY6X2OUD+7d59xUV9zxc9jPbd353fVeQEAzMxwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA44OnDTQAAAGcx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTN2x/95/61b9/V/oE/8ed/+gf/6b8AwMP9fX/sX/YMAEjKMwAAmEX0vcRw0/Mz3AQABxhuAgAA2MdwkyRJ0rz9kd/45bfvagAAAAAAV/k7v/d3//C/XuqpGW4CgAMMNwEAAOxjuEmSJGneDDcBAAAAADMx3PT8DDcBwAGGmwAAAPYx3CRJkjRvhpsAAAAAgJkYbnp+hpsA4ADDTQAAAPsYbpIkSZq3P/tX/vc//f1/7M/94Nf+m38FgAT+Y3/yL3sGACTlGQAAzCL6XqLnZ7gJAA4w3AQAALCP4SZJkiRJkiRJkiRJklR65HDT//z/8P/6tjDiP/pP/Ss//aP/7F8CgKH+/f/5/84Pz5vyf0evAwAA4Eflv9ct/32qKP9dT5IkSZIkSZIkSZIk5eqRw01/5rd/99vCCAAAAABgbuW/60mSJEmSJEmSJEmSpFwZbgIAAAAApmC4SZIkSZIkSZIkSZKkfBluAgAAAACmYLhJkiRJkiRJkiRJkqR8PXK46S/9r/9v3xZG/Af/if/uT//hP/7nAWCov+c/95s/PG/K/x29DgAAgB+V/163/Pepovx3PUmSJEmSJEmSJEmSlKtHDjf9tb/xt78tjPjX/+q/+dPv/62/CQBD/UP/zL/6w/Om/N/R6wAAAPhR+e91y3+fKsp/15MkSZIkSZIkSZIkSbky3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQAB9xhuOlXfuVX3vqzv/Gnwm1elddF21fRNgAAAGsMN0mSJEmSJEmSJEmSpJLhJgA4wHDTl2gbAACANYabJEmSJEmSJEmSJElSyXATABxguOlLtA0AAMAaw02SJEmSJEmSJEmSJKlkuAkADjDc9CXaBgAAYI3hJkmSJEmSJEmSJEmSVDLcBAAHGG76Em0DAACwxnCTJEmSJEmSJEmSJEkqGW4CgAMMN32JtgEAAFhjuEmSJEmSJEmSJEmSJJUMNwHAAYabvkTbAAAArDHcJEmSJEmSJEmSJEmSSoabAOAAw01fom0AAADWGG6SJEmSJEmSJEmSJEklw00AcIDhpi/RNgAAAGsMN0mSJEmSJEmSJEmSpJLhpgtFi8N7/fovfvEHymLz4nd+65d/IDoOAOcx3PQl2gYAAGCN4SZJkiRJkiRJkiRJklQy3HShaHH4CHXYKTomAGMZbvoSbQMAALDGcJMkSZIkSZIkSZIkSSoZbrpQtDh8NENOAOcy3PQl2gYAAGCN4SZJkiRJkiRJkiRJklQy3HShaHH4GX79F78w5ARwEsNNX6JtAAAA1hhukiRJkiRJkiRJkiRJJcNNF4oWh5/JgBPAeIabvkTbAAAArDHcJEmSJEmSJEmSJEmSSoabLhQtDj+bASeAsQw3fYm2AQAAWGO4SZIkSZIkSZIkSZIklQw3XShaHP4JBpwAxjHc9CXaBgAAYI3hJkmSJEmSJOmc/lP/jd/+9t/eMivXQ5IkSdLcGW66ULQ4vPr1X/wi3KYMJlVloXlrsfk70b4B2M5w05doGwAAgDWGmyRJkiRJkqRzMtz0I8NNkiRJ0vwZbrpQtDi8ejfc9E4ddor2FeldzA7AOsNNX6JtAAAA1hhukiRJkiRJks7JcNOPDDdJkiRJ82e46ULR4vBq63DTUu+QUxmIirYHoJ/hpi/RNgAAAGsMN0mSJEmSJEnnZLjpR4abJEmSpPkz3HShaHF4dWS4qSiDS9F+l3oXtAPwnuGmL9E2AAAAaww3SZIkSZIkSedkuOlHhpskSZKk+TPcdKFocXh1dLip6BlwirYDoJ/hpi/RNgAAAGsMN0mSJEmSJEnnZLjpR4abJEmSpPkz3HShaHF4NWK4qWgtRi8DUNF2APQx3PQl2gYAAGCN4SZJkiRJkiTpnAw3/chwkyRJkjR/hpsuFC0Or0YNNxXR/qveRe0AxAw3fYm2AQAAWGO4SZIkSZIkSTonw00/MtwkSZIkzZ/hpgtFi8OrkcNNFqQDnMdw05doGwAAgDWGmyRJkiRJkqRzMtz0I8NNkiRJ0vwZbrpQtDi8Gjnc9Du/9cvwGFW0DQB9DDd9ibYBAABYY7hJkiRJkiRJOifDTT8y3CRJkiTNn+GmC0WLw6tPDjeVP4+2A6DNcNOXaBsAAIA1hpskSZIkSZKkczLc9CPDTZIkSdL8GW66ULQ4vBo53FREx6gMNwHsZ7jpS7QNAADAGsNNkiRJkiRJ0jkZbvqR4SZJkiRp/gw3XShaHF4ZbgK4B8NNX6JtAAAA1hhukiRJkiT9/9j7m5B71n7B73pwIMGZDjNz0IgBETIICKEnDs5ITAxKaBwkE0OEgI2GnnkCislpTYIaURNpOpKjcOgomoMRWtLRB996YhDUCIeIOMqoJwmBnjz21fep7Fpr/6qu11p11bo+X/jAefZ/Va2qWuuuuv+b63e2JOmaDDe9MtwkSZIkzZ/hphtFi8M3hpsAnsFw049oGwAAgDOGmyRJkiRJkqRrMtz0ynCTJEmSNH+Gm24ULQ7ffHK4KXo9AGUMN/2ItgEAADhjuEmSJEmSJEm6JsNNrww3SZIkSfNnuOlG0eLwzcjhJgvSAa5juOlHtA0AAMAZw02SJEmSJEnSNRluemW4SZIkSZo/w003ihaHb0YON6V9Re+RjP4vRAGsxnDTj2ibVfzVf/Evh/8cAAA4Z7hJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtHi8M3IoaNo/5vSRe2l0gLvJO33aKgq/fNk9Hv32I43OubtWO9YvL6/ltGxOT64n+GmH9E2787uF0+9V2zXxT0OAADqGW6SJEmSJEmSrslw0yvDTZIkSdL8GW660fvC7r20yDvaptaIxeglcu9zZlvQHu23RrRYfhNdz7QQ/WybIyOO9UzrcW3S8V25yH7244NPM9z0I9om6bnX1twrcseXRNv12s6t9DrWej+Hd+6nAAA8meEmSZIkSZIk6ZoMN70y3CRJkiTNn+GmG0WLlDdpsXS0TY204Dna9+YT71EjHU/PIu2zxfPv53r22lJXLCgfcVybKxbaz358cAfDTT+ibUbcM97v32ei7feuuG/v9x/9eY/c9au5NgAAMCPDTZIkSZIkSdI1GW56ZbhJkiRJmj/DTTeKFipvehcslwwd9Q6XjFi0Hmk997Pj2e9z5HGPWihf8nm1GnGMsx8f3Mlw04/9a6+4Z5TcK3LHmETbtXp/noy+n+33HXH/BADg6Qw3SZIkSZIkSddkuOmV4SZJkiRp/gw33ShaqLxpHfBJShZ39+z/ikXr71qO72xoadvf2Wta9S4uv+KY3vUc4+zHB3cz3PRje92Vz4iSe0W03d7I+020/+h1LXLXe3uuAQDAkxlukiRJkiRJkq7JcNMrw02SJEnS/BluulG0WHnTsmi5ZKhp07q4+8pF6+9qr8HZEE76s5rrU6NngfnZMY/W8pnPfnwwA8NNP9JrPvGMyN0rPjUUdPQ+o+5l0b733DMBAPgGhpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1W3pwtvk4LmpO0sDq9rnYApXQhe6TlvfZqjze9NjqOSO2x7W3HtYlec6ZlkXnaJtrXkXRc0fWMXnuk5jhnPz6YheGmH+k10T/fS/eEd9HrcnL3imibvRH3mqNjL72eZ3LXOr13tB0AADyN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4aYbRQuWr9azIDq32HqT3qNk4Xjp/koXodcuki85zvTn0baRaPsz0T4iJQvl03GWnH/N5x9tH7nr+GAWhpt+HP2Mp3+ee490j8jt/93Z/Tu3r9JzPpLb/9mxlYj2ude7fwAAmIXhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFC5av1DM4khZSR/t8V7vgOr0+N/RSety5/ezVHmfJvmv2WbK/0vPeKxkOKDnO2Y8PZmK46VjpvvfSPSDa17vcPSjaZq/nXpO7R7ac9yZ3nVvuvQAAMCvDTZIkSZIkSdI1GW56ZbhJkiRJmj/DTTeKFi1fpWehdVIy7HL3QvGSY0xaj3PUYvaShfs9i9dL9h9tt5n9+GA2hptirffapOQ+kZy9R+54S887Eu3vXbRdidyzpue6AgDAbAw3SZIkSZIkSddkuOmV4SZJkiRp/gw33ShatDxazxDKpmSR+YjF1tF+NyXnkVsQnlw5lFO6UD53nCM+s9yi/rPPa/bjg9kYbvq1ET/DuXvuJtp2E71+r+U4c/fITcu+c9d4xP0XAABmYrhJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtHC5VHSAuhRAyK5xdalC+Nzcu8TbbNXsuA82q5GtM+9aJt30XZ70TYton1vzj6z6PV70TYton1vRn2n4BMMN70a9exJSgaczt4vd8wt95poP0ei7c/knmPujQAAfBvDTZIkSZIkSdI1GW56ZbhJkiRJmj/DTTeKFi63Sgui06LnKxY+R++3F23T6mxhd/qzaJtNblF4bvsSuYXy0TZ7ue1Hfn65oYBoIGD244MZGW76xYj77Lue+1LuPpNE2x0puQZ7Nfex3LFecW0BAOBuhpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1e3qRFzGkR9SZ6zd5Vi55zi63PFpW3ODvX3DmmP4+224w41txnEW2zlzvGaJse0XtsokX3sx8fzMhw0y+i7UaI3msv2maTO+6aZ0PuHvlu5L5r9gUAAE9huEmSJEmSJEm6JsNNrww3SZIkSfNnuOlG0eLlTVrkvH9tbsgouWLhc25ReLRNr+h9NtHrN58YzMl9DrmBnGibzac/v+j9otdtZjg+mJHhph/vz62Rcu99du8teX5G273LHcOR3HNhE227ufLaAgDAnQw3SZIkSZIkSddkuOmV4SZJkiRp/gw33ShawLyJFjKXLKwuXURd6hMDQ++i99mcnd/sw025bUsHDGqcfWfev2OzHx/MynDTjyvuEZve+1Pu2M/u3ZuzZ8zZ8ZVcl9zz68prCwAAdzLcJEmSJEmSJF2T4aZXhpskSZKk+TPcdKNoAfPmaLAjtwA6ibZrFe1/Lx3PaNH7bM4WeOe2jbaplVtgf7ZAPre4Pnm/FiNE77N50vHBrAw3/Yi2GSl6z03uHHL37iTabi/aJkn3sbM/T9739S7aZrPtHwAAvpHhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFi5g3R4uZSxZoj1wIHe3/TmcL2M8GZUZdk6uHmz7tSccHszLc9JkBnN57fO4ed3b/Pnvv7fqd7b/n2bDtHwAAvpHhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFi5g3Zwu1cwuhk7OF1KVygzx3OLsuvQvfS+SuSevi+Lvsj3f244NZGW76zHBT7tkXbbOXu3+fnUP0+uR9m+g1Scu+k09cVwAAuJPhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFC5k3uQXN6c+j7fZ6B0NyC8HvcHZdzq7JqAXiuWtyds1LPrNP2x/v7McHszLc9Jn/ulDvcFOS20d0z6k577PX1u47ed8/AAB8G8NNkiRJkiRJ0jUZbnpluEmSJEmaP8NNN4oWMm9ywzhpkXS03V7vQE/Je3za2TmdDef0XotN7ppEi9c3Z8d3l/3xzn58MCvDTc8Zbsrdw6PzOLs3vr/2bP+1+x713AIAgJkZbpIkSZIkSZKuyXDTK8NNkiRJ0vwZbrpRtJh5U7KoObdIO+lZcF6y/087uy6fWCSeuybpz6PtkrPju8v+eGc/PpiV4abnDDcluf3s7zst53x2L92/LnccR/sHAIBvYrhJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtFi5k3pME7JQErrgEjaLtrfZrbBk7NrUXo9c3quySeOr8fsxwezMtz0mXvEqHtU7j6+vx5n77nf597Z/kv3/YnrCQAAMzDcJEmSJEmSJF2T4aZXhpskSZKk+TPcdKNoQfOmZmFztP27aLsS0b42s/1XJT6xULxnuOlsMCCJtvmk2Y8PZmW46Ue0zUgj7/Gl5xL9WZJ7v2ibTfrz3PuXfiYAAPB0hpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1o3tQs1M4N3CStwz3RvjazLb4eufD9iOEm4J3hph/RNiNF77mpvcfn7uXpXM+eKWf3+uTsWqVtP/G8AgCAJzDcJEmSJEmSJF2T4aZXhpskSZKk+TPcdKNoUfOmdnFzbtF5UrqAfe9JC7A/caw9w009237C7McHszLc9OPKe0Tu/tTyfCt5bkZKnyfRtiVazgUAAJ7KcJMkSZIkSZJ0TYabXhlukiRJkubPcNONokXNm5ZhnLPhnk3t4vPcPqNt7nJ2rC3XM9IzAHTF4vyRZj8+mJXhph9X3iOueBbl7nlHRl2vyKhnFQAAPIXhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFC5s3LQucSxdqR9seuWsxezr/2n2fLX4ftWA8d43Tn0fbbaJt9qJteqXrmOSOLYmOaS/aplfN8cGMDDf94qqf4+i99qJtSpSc017NsyT3vIiUfhYAAPAtDDdJkiRJkiRJ12S46ZXhJkmSJGn+DDfdKFrYvGkdxilZqF2772gfe9E2PfbnkI61dLF8eu3+uPZar+e73GL13LHmPp8rFrbX7H/244MZGW76xah77d7ZvT3pec/aAaTae1TJNdtcce0AAGB2hpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1u3vQscs4tBE9KB4aSKxeWvztaaF7yHmfHOeoYe4ebShbS13w2OUfX5Og9Zj8+mJHhplcjf35L7knRdjVqBpCi7c+UHP+mdnAKAAC+geEmSZIkSZIk6ZoMN70y3CRJkiTNn+GmG0WLmzc9wzili6lLF6CX7K90X2dK3uds8fcThpuSs+NMRh1r7n2Slu3uPj6YjeGmX/vUM2HE/ajkfZLW94r2FYm2BQCAb2e4SZIkSZIkSbomw02vDDdJkiRJ82e46UbR4uZN74Lt0YvCSwZRehazly4uP3uPs2PsvZ6b3HGWXIOSc+093pLP6+g9Zj8+mI3hpljJ/fBI2rbkPtHzHnsl7xVtV6Lknlr6GQAAwLcx3CRJkiRJkiRdk+GmV4abJEmSpPkz3HSjaIHzZsRgR8li7dIF1SWLs5OW4y5dMJ9bxH52viOuZ5K7DqUL7Us+m6R0f5v0+pJ9567H7McHMzHcdKz2HpGUvs/I+0Q6zug9Nr3vFe1zL9oGAABWYLhJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtEC582oRdvRvt+VLj6vWdieWyyf3rNmfyXXI70m2jYZdT1zC+BrFvJH20fSsef2m67l2fm/KznOaLvIXccHszDclJe2HX2fiPbR4+y9e+9JZ9eu9PoDAMA3MtwkSZIkSZIkXZPhpleGmyRJkqT5M9x0o2iR8yYtso62qZUWZEf7fxdtG6lZeL5J2+xFrzmTtomO5d3Zvkv3kZO7njUL4Es/m3fbddxErzlTeoyzHx/MwnDTj9J7Ru89IrniPnF0/OkYo9fXivadRK8FAIBVGG6SJEmSJEmSrslw0yvDTZIkSdL8GW66UbTIeTNqMXWSW5Ce1Lxf62L0FqOOa9T1zC3er11wXzoMMMq3HR/MwHDTj/SaT9wzrrxPRM+R0uuTE12/UfsGAICnMtwkSZIkSZIkXZPhpleGmyRJkqT5M9x0o/dFznujhnE2Z4M/m5oF4yX761V7Dc6OadT1zC3cb1l0/4lhgKR1IGD244O7GW76sb3uynvG1feJ6Nij17W4ct8AAPBUhpskSZIkSZKkazLc9MpwkyRJkjR/hptu9L7IeW/UMM6mdLF5zcLxKwecWhawP3W4KSn9fFqMOPfZjw/uZLjpx/61V9wzWu+vtfbPktH/ZaUr9w0AAE9kuEmSJEmSJEm6JsNNrww3SZIkSfNnuOlG2wLnyBUDH7mF6Unt+6bF5vvF2r3SMbYuYD87jlHXM7dgv3fxfclnVCqd8+jF87MfH9zBcNOP99ePej6Mun+X2t/noz/vceW+AQDgiQw3SZIkSZIkSddkuOmV4SZJkiRp/gw33Whb4By5ajF3yULzlvfuXcSeFs33Dgadvf+o67lfmB7pPYdNzxBROterh4ZmPz74JMNNP6JtktbnQ9pm1D21VnrvJPqzXunc3AMBAOCH4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SaGS4u2k7PF7Ntr7lq4/hTp+mzXKrqOSbrO22uifVxp9uODT3jCcNMMtvvF0bNhpnvFlc8m90IAAPiF4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIkfVv/xB/+dgrv/95tdWm4KbpOn/bX/u//3z/9pkiSJEl6z3ATAHQw3AQAANDGcJMkSZIkSZK+rTS88v7vvCDxX4+SJEmSzjPcBAAdDDcBAAC0MdwkSZIkSZKkb8yAE+8MNkmSJEn5DDcBQAfDTQAAAG0MN0mSJEmSJOlbM+DExmCTJEmSVJbhJgDoYLgJAACgjeEmSZIkSZIkfXMGnDDYJEmSJJVnuAkAOhhuAgAAaGO4SZIkSZIkSd+eAad1GWySJEmS6jLcBAAdDDcBAAC0MdwkSZIkSZKkFTLgtB6DTZIkSVJ9hpsAoIPhJgAAgDaGmyRJkiRJkrRKBpzWYbBJkiRJausrh5v+hf/tv/GrvzT8nX/un/3dn/mH/nsAMNTf8ff9wcvzJv3v6HUAAAC8Sv++bv/3qST9ez1JkiRJkiTpGzPg9P0MNkmSJEntfeVw0+//4W/DvzwAAAAAAPNK/15PkiRJkiRJ+tYMOH0vg02SJElSX4abAAAAAIApGG6SJEmSJEnSt2fA6fsYbJIkSZL6M9wEAAAAAEzBcJMkSZIkSZJWyIDT9zDYJEmSJI3pK4eb/hf/p//3r/4S8R/9L/2l3/0n//z/HACG+g/9A//My/Mm/e/odQAAALxK/75u//epJP17PUmSJEmSJGmFDDg9n8EmSZIkaVxfOdz0x3/9T371F4nf/1f+5Hd//G/9rT8DgIH+zD/6l1+eN+l/R68DAADgVfr3dfu/TyXp3+tJkiRJkiRJq2TA6bkMNkmSJEljM9wEAB0MNwEAALQx3CRJkiRJkiQZcHoig02SJEnS+Aw3AUAHw00AAABtDDdJkiRJkiRJPxlweg6DTZIkSdI1GW4CgA6GmwAAANoYbpIkSZIkSZJ+yYDT/Aw2SZIkSddluAkAOhhuAgAAaGO4SZIkSZIkSXrNgNO8DDZJkiRJ12a4CQA6GG4CAABoY7hJkiRJkiRJ+nUGnOZjsEmSJEm6PsNNANDBcBMAAEAbw02SJEmSJElSnAGneRhskiRJkj6T4SYA6GC4CQAAoI3hJkmSJEmSJOk4A073M9gkSZIkfS7DTQDQwXATAABAG8NNkiRJkiRJ0nkGnO5jsEmSJEn6bIabAKCD4SYAAIA2hpskSZIkSZKkfAacPs9gkyRJkvT5DDcBQAfDTQAAAG0MN0mSJEmSJEllGXD6HINNkiRJ0j0ZbgKADoabAAAA2hhukiRJkiRJksoz4HQ9g02SJEnSfRluAoAOhpsAAADaGG6SJEmSJEmS6jLgdB2DTZIkSdK9GW4CgA6GmwAAANoYbpIkSZIkSZLqM+A0nsEmSZIk6f4MNwFAB8NNAAAAbQw3SZIkSZIkSW0ZcBrHYJMkSZI0R4abAKCD4SYAAIA2hpskSZIkSZKk9gw49TPYJEmSJM2T4SYA6GC4CQAAoI3hJkmSJEmSJKkvA07tDDZJkiRJc2W4CQA6GG4CAABoY7hJkiRJkiRJ6s+AUz2DTZIkSdJ8GW4CgA6GmwAAANoYbpIkSZIkSZLGZMCpnMEmSZIkac4MNwFAB8NNAAAAbQw3SZIkSZIkSeMy4JRnsEmSJEmaN8NNANDBcBMAAEAbw02SJEmSJEnS2Aw4HTPYJEmSJM2d4SYA6GC4CQAAoI3hJkmSJEmSJGl8Bpx+zWCTJEmSNH+GmwCgg+EmAACANoabJEmSJEmSpGsy4PQLg02SJEnSMzLcBAAdDDcBAAC0MdwkSZIkSZIkXZcBJ4NNkiRJ0pMy3AQAHQw3AQAAtDHcJEmSJEmSJF3bygNOBpskSZKkZ2W4CQA6GG4CAABoY7hJkiRJkiRJur4VB5wMNkmSJEnPy3ATAHQw3AQAANDGcJMkSZIkSZL0mVYacDLYJEmSJD0zw00A0MFwEwAAQBvDTZIkSZIkSdLnWmHAyWCTJEmS9NwMNwFAB8NNAAAAbQw3SZIkSZIkSZ/tmwecDDZJkiRJz85wEwB0MNwEAADQxnCTJEmSJEmS9Pm+ccDJYJMkSZL0/Aw3AUAHw00AAABtDDdJkiRJkiRJ9/RNA04GmyRJkqTvyHATAHQw3AQAANDGcJMkSZIkSZJ0X98w4GSwSZIkSfqeDDcBQIcnDDf95je/OfQP/4U/CLd5l14Xbb+JtgEAADhjuEmSJEmSJEm6tycPOBlskiRJkr4rw00A0MFw049oGwAAgDOGmyRJkiRJkqT7e+KAk8EmSZIk6fsy3AQAHQw3/Yi2AQAAOGO4SZIkSZIkSZqjJw04GWySJEmSvjPDTQDQwXDTj2gbAACAM4abJEmSJEmSpHl6woCTwSZJkiTpezPcBAAdDDf9iLYBAAA4Y7hJkiRJkiRJmquZB5wMNkmSJEnfneEmAOhguOlHtA0AAMAZw02SJEmSJEnSfM044GSwSZIkSfr+DDcBQAfDTT+ibQAAAM4YbpIkSZIkSZLmbKYBJ4NNkiRJ0hoZbgKADoabfkTbAAAAnDHcJEmSJEmSJM3bDANOBpskSZKkdTLcBAAdDDf9iLYBAAA4Y7hJkiRJkiRJmrs7B5wMNkmSJElrZbjpJn/3n/29cHH4kfT6JC0uT/7iH/023C8An2W46Ue0DQAAwBnDTZIkSZIkSdL83THgZLBJkiRJWi/DTTepHW46Y9gJ4D6Gm35E2wAAAJwx3CRJkiRJkiQ9o08OOBlskiRJktbMcNNNRg437RlyAvgsw00/om0AAADOGG6SJEmSJEmSntMnBpwMNkmSJEnrZrjpJlcNNyVp34acAD7DcNOPaBsAAIAzhpskSZIkSZKkZ3XlgJPBJkmSJGntDDfd5Mrhpo0BJ4DrGW76EW0DAABwxnCTJEmSJEmS9LyuGHAy2CRJkiTJcNNNPjHclBhwAriW4aYf0TYAAABnDDdJkiRJkiRJz2zkgJPBJkmSJEkpw003+dRwU2LACeA6hpt+RNsAAACcMdwkSZIkSZIkPbcRA04GmyRJkiRtGW66SW64KdomDSltcovM3xlwAriG4aYf0TYAAABnDDdJkiRJkiRJz65nwMlgkyRJkqR9hptu0jLcFElDSyX/Faj0mmh7APoYbvoRbQMAAHDGcJMkSZIkSZL0/FoGnAw2SZIkSXrPcNNNRg03bUr+S07+600A4xlu+hFtAwAAcMZwkyRJkiRJkvQd1Qw4GWySJEmSFGW46Sajh5uS3MLz0gXsAJQz3PQj2gYAAOCM4SZJkiRJkiTpeyoZcDLYJEmSJOkow003uWK4KblqvwDEDDf9iLYBAAA4Y7hJkiRJkiRJ+q7OBpwMNkmSJEk6y3DTTa4aQvqLf/TbcH+b9OfRdgC0Mdz0I9oGAADgjOEmSZIkSZIk6fuKBpwMNkmSJEnKZbjpJlf+F5ai/W1KF7EDUMZw049oGwAAgDOGmyRJkiRJkqTvbD/gZLBJkiRJUkmGm25y5XDT2b4NNwGMZbjpR7QNAADAGcNNkiRJkiRJ0veWBpwMNkmSJEkqzXDTTa4cbjpbgG64CWAsw00/om0AAADOGG6SJEmSJEmSJEmSJEkpw003uWu4Kb1vtA0AbQw3/Yi2AQAAOGO4SZIkSZIkSZIkSZIkpQw33cRwE8B3MNz0I9oGAADgjOEmSZIkSZIkSZIkSZKUMtx0E8NNAN/BcNOPaBsAAIAzhpskSZIkSZIkSZIkSVLKcNNNrhxuOtt36SJ2AMoYbvoRbQMAAHDGcJMkSZIkSZIkSZIkSUoZbrqJ4SaA72C46Ue0DQAAwBnDTZIkSZIkSZIkSZIkKWW46SZXDjdF+9tErwegneGmH9E2AAAAZww3SZIkSZIkSZIkSZKklOGmm1w13HS2+Dy9Z7QNAO0MN/2ItlnFX/yj34b/HAAAOGe4SZIkSZIkSZIkSZIkpQw33eSq4aaz/ZYuYO+RFnin90nHcXQs6Z+n18yyGPzseGc7VmA+hpt+RNu8+8b77XZdPCcAAKCe4SZJkiRJkiRJkiRJkpQy3HSTaGH3XrRNztk+059F24yQFnTnzufMiMXstefeeszpWN/3BazNcNOPaJuk535b82zIHV8SbddrO7erng/v5/Cu9/kJAAB3MtwkSZIkSZIkSZIkSZJShptuklvoHW1zJre/qxY/tyxYP9KzMPzsONKflb62lMXkwMZw049omxH32/d7+Jlo+70r7t37/Ud/3iN3/WquDQAAzMhwkyRJkiRJkiRJkiRJShluukluwXK0TSQtNr9j8XNaIB691wgti8/PrsH+/HPXqoYBJyAx3PRj/9ornhEl99zcMSbRdq3enymjnwv7fUc8hwAAeDrDTZIkSZIkSZIkSZIkKWW46Sa5IZtomyQtZC4ZaNrsB3tGGTkgdKR2wfbZMW3X4IrjtrAcMNz0Y3tdui9Gfz5CyT032m5v5H072n/0uha5633F8x0AAD7NcJMkSZIkSZIkSZIkSUoZbrrJJwaErlj4/Inj3tQsQD87rvRnJf81jxZXXGPgWQw3/UivuXKwaZN7NnxqKOjofUYNT0X73hs5pAUAAHcx3CRJkiRJkiRJkiRJklKGm25y9ZBQ2v/ohc+1i9a3oaK92vMuPYee65m23Ytec8YCc1ib4aYf6TXRP997v9+23HOT3H032mZvxH376NhLr+eZ3LVO7x1tBwAAT2O4SZIkSZIkSZIkSZIkpQw33aR1QXeLEQutk2jfkZL3SwvLS65B6QLu2uuZXp9b3J7+PNo2Em0PrMFw04+j+3D657n3SPfb3P7fnd3Dc/sqPecjuf3nni850T73evcPAACzMNwkSZIkSZIkSZIkSZJShptuUjuMM0LPYuiS402vibY9U7KYveS4a65n7XUo2beF5rAuw03HWoaI0v002te73DMn2mbvymdiy3lvcte55VkLAACzMtwkSZIkSZIkSZIkSZJShptuUjOMM1LLouiSheY9i61L9h9tt1d6PVsXs+f237OQHXg2w02xnuGhkudCcvYeuePtuW9H+3sXbVci97zpua4AADAbw02SJEmSJEmSJEmSJClluOkmpcM4V6gdRModa+3+IrlF6LnF3CXXs+c4cwvtexbJA89muOnXRgzg5O67m2jbTfT6vZbjLHneJC37zl3jEc9bAACYieEmSZIkSZIkSZIkSZKUMtx0k9zi6LQo+kxaAJ2ULrJ+V7NAOtp+L9qmRbTvTW7xfcl1iLarEe1zL9oG+H6Gm16lZ1S0fYu0r+g99s7eL3fMpee+F+3nSLT9mdyzrOV4AQBgZoabJEmSJEmSJEmSJElSynDTTXILmKNtzmwDT9G+jpQskr5iYfiR3CL2swXsuetZM8x1JHctom2A72e46Rcj7rXvep5DJcNR0XZHSq7B3tlz613uWK+4tgAAcDfDTZIkSZIkSZIkSZIkKWW46Sajh5v20gLp3P43uYXXVx5nJHqPzdmx5o6zdPH+mdyi9mgb4PsZbvpFtN0I0XvtRdtscsdd83wofbZuRu67Zl8AAPAUhpskSZIkSZIkSZIkSVLKcNNNPjE0lPuvQCTpOKJtN9E2mysWWp8tQj97vxmuZ25QDPhOhpt+5J4nPXLvfXb/LXkWRtu9yx3DkdJnQ7Tt5sprCwAAdzLcJEmSJEmSJEmSJEmSUoabbvKJYZykZFH30cLr3LalC+JrnC0eP1vcbbgJuIvhph9XPBM2vc+j3LGX3L/PnjNnx1dyXXLPsCuvLQAA3MlwkyRJkiRJkiRJkiRJShluusmnhpuS3KLuo0XTue2SdB6jRe+ziY4zad2uhuEmIGK46Ue0zUjRe25y55C7fyfRdnvRNkl6/pz9efK+r3fRNptt/wAA8I0MN0mSJEmSJEmSJEmSpJThppt8YhhnL3qPvWibkuGmT4uOMzm7nqMWhhtuAiKGmz4zgNN7n889087u4WfvvV2/s/2f7Tt3XNv+AQDgGxlukiRJkiRJkiRJkiRJKcNNNzlbKJ1E2/RoWdSdO8Y7HC0Q7130XiK9d7T/zdnideB7GW76zHBT7jkWbbOXu4efnUP0+uR9m+g1Scu+k09cVwAAuJPhJkmSJEmSJEmSJEmSlDLcdJO0YDlayLyJtumRW9QdLW7PHeMdDDcBszHc9Jn/ulDvcFOS20d0H68577PX1u47ed8/AAB8G8NNkiRJkiRJkiRJkiQpZbjpJp8ebkqi99lEC6gNN70y3AREDDc9Z7gpdx+vfRa+v/Zs/7X7HvXsAgCAmRlukiRJkiRJkiRJkiRJKcNNNzlb0JxE2/SK3mcTLaLOHeMdDDcBszHc9JzhpiS3n/29vOWcz55H+9fljuNo/wAA8E0MN0mSJEmSJEmSJEmSpJThppvkBoeibXpF77OJBoA+MTA0yieO1XATEDHc9Jlnwqj7fO5evr8eZ++53+fe2f5L9/2J6wkAADMw3CRJkiRJkiRJkiRJklKGm25ytqg5ibbpFb3PJlpIfbaQPXl//Z0+sUjccBMQMdz0I9pmpJH3+dJzif4syb1ftM0m/Xnu/Us/EwAAeDrDTZIkSZIkSZIkSZIkKWW46SZni7STaJseucGcaKH23QvZa4xc9H7EcBMQMdz0I9pmpOg9N7X3+dz9PJ3r2XMld78/u1Zp2088swAA4AkMN0mSJEmSJEmSJEmSpJThppucLWxOom165BalR4vbnzTM84mF4k+6HsDnGG76ceU9MHf/LT2Hvdz5HCl9pkTblmg5FwAAeCrDTZIkSZIkSZIkSZIkKWW46SafHm7KvV+0KP2KxeRXMdwE3MVw048rnwlXPDNz9/Qjo65XZNTzCgAAnsJwkyRJkiRJkiRJkiRJShluuskVC7WPlCywjrZLotfuRdv0Sseb1AwLGW4C7mK46RdX3Qej99qLtilRck57Nc+TluGp0s8CAAC+heEmSZIkSZIkSZIkSZKUMtx0k08ON0X73ztbrJ1b+H3FQuyW/RtuAu5iuOkXo+63e7nnZc971g4g1T7zSq7Z5oprBwAAszPcJEmSJEmSJEmSJEmSUoabbpJbrB1t0yL3PsnZYu2Shd8jh3qOjjf3HmfnOWrBeO5ajLwOwHMYbno18l6Yu+8m0XY1agaQou3PlBz/pvRzAACAb2K4SZIkSZIkSZIkSZIkpQw33eTq4abSBdUlgz+5Yx01PJR7nyTaLjnbdtTx5a7pyAX9wHMYbvq1EffDkufYiPv7yOdlJNpXJNoWAAC+neEmSZIkSZIkSZIkSZKUMtx0k9wgT7RNibT4PLfvvZIF6J9YYF5yzGfvcbZ977Ftcteh5FoC38dwU6znnpi2LXkujLrvlrxXtF2J3LMjKf0MAADg2xhukiRJkiRJkiRJkiRJKcNNN8ktpI62iaRF07UDTZuaoZ/S/dcuNC9dwJ471rN91JznmdwC9dpzB76D4aZjLffF0vcZdW9Pcvf33veK9rkXbQMAACsw3CRJkiRJkiRJkiRJklKGm25yNozzCS0LtaP9RNK+cwvaaweycvs721fLuUZyi99bFvEDz2e4KS9tO/q5EO2jx9l7997fz65d6fUHAIBvZLhJkiRJkiRJkiRJkiSlDDfdpGYB92itwz654Z4j6f32otecKVlUfrbf9GfRNrVy59+7+B14JsNNP0qfEfvnwdm9+8wV99uj4x/1DIn2nUSvBQCAVRhukiRJkiRJkiRJkiRJKcNNN2ld0N2rd5F26eL1UUoXsJ9dz1EL03PnfsVie2B+hpt+pNd84hlx5b02epaM+i8rRddv1L4BAOCpDDdJkiRJkiRJkiRJkqSU4aabfHq4Kb3fqAXhn1i8ntQcr+Em4C6Gm35sr7vyGXH1fTY69uh1La7cNwAAPJXhJkmSJEmSJEmSJEmSlDLcdJNPDTel97nivwxx5eL1lmEkw03AXQw3/di/9opnxKfusfvnyejn55X7BgCAJzLcJEmSJEmSJEmSJEmSUoabbnI2jNMr7Tstmv7EQvDcYvca23FH75Nzdj3Tn0Xb1DLcBEQMN/14f326J4541o26h5fa3+ujP+9x5b4BAOCJDDdJkiRJkiRJkiRJkqSU4aabjFjwnaT9JGnReetg0Ai5Re9ntuOP9lvq7HqmP4u2qWW4CYgYbvoRbZO0Djmlbe66r6b3HvXseJfO7c7nNQAAzMRwkyRJkiRJkiRJkiRJShluYqi0ED0t2j5bBJ8WjG+vifYB8CRPGG6awfZ8OBp0munZcOVQlWcfAAD8wnCTJEmSJEmSJEmSJElKGW4CgA6GmwAAANoYbpIkSZIkSZIkSZIkSSnDTQDQwXATAABAG8NNkiRJkiRJkiRJkiQpZbgJADoYbgIAAGhjuEmSJEmSJEmSJEmSJKUMNwFAB8NNAAAAbQw3SZIkSZIkSZIkSZKklOEmAOhguAkAAKCN4SZJkqS5+4O/8n958Vf/b/8fABbhGQCwLs8AAGAW77+X6Psz3AQAHQw3AQAAtDHcJEmSNG9/z59//XffAAAAAAB3+rf/xr/7p//2Ut+a4SYA6GC4CQAAoI3hJkmSpHkz3AQAAAAAzMRw0/dnuAkAOhhuAgAAaGO4SZIkad4MNwEAAAAAMzHc9P0ZbgKADoabAAAA2hhukiRJmjfDTQAAAADATAw3fX+GmwCgg+EmAACANoabJEmS5u0f/0v/2q9+V/uf/ev/j9/9y//HfxOAL/ef/W/8Fc8AgEV5BgAAs4h+L/l3/r2/+af/9lLfmuEmAOhguAkAAKCN4SZJkqR5i4abLB6QpDXyDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQPST7/97W9/95vf/KZYer309DwD9OR+7/d+L7w/R9JrJb3mGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QfjLcpBXzDNCTM9wk9eUZIEmSZsnvJWtmuAkAOhhuAgAAaGO4SZIkad4sHpB+MtykFfMM0JMz3CT15RkgSZJmye8la2a4CQA6GG4CAABoY7hJkiRp3iwekH4y3KQV8wzQkzPcJPXlGSBJkmbJ7yVr9pXDTf/kH/2ff/Vl/g/+ff/t3/0d/7n/DgAM9R/4z/xTL8+b9L+j1wEAAPAq/fu6/d+nkvTv9SRJknR/Fg9IPxlu0op5BujJGW6S+vIMkCRJs+T3kjX7yuGm3//D3/7qywwAAAAAzC39ez1JkiTdn8UD0k+Gm7RingFrle5bf/AHf/C3B32S9H8nT81wk9SXZ4AkSZolv5esmeEmAAAAAGAKhpskSZLmyOIB6SfDTVoxz4Dzop/9zdOGZdIQU3QeSTqXJ97TDDdJfXkGnHd2j3nyYOgncw0lSaX5vWTNDDcBAAAAAFMw3CRJkjRHsy8eiBbCtUgL65Kn/1cqdF2Gm7RiszwDzgZvjlxdyT3h6mrvS0n0jDtbXL73tPta6Xkl6bWSXnvyM+AT96voffc+UfS+o7iGsffnaPSaHv5eKklxhpvW7CuHm/74r//Jr77M/6m/8D/53d//B38IAEP9h//Bf/rleZP+d/Q6AAAAXqV/X7f/+1SS/r2eJEmS7m+V4abItqhMStUOETxtCECKmuUZUPvzl1x9/y45pqvvA+kco/c9835MNft42gBQOt7oPCJPOzfpE3kGHFdy75zxGVDDNYy9F73mCv5uKmn1DDet2TLDTf+jv/bXfvdv/o3/JwAM9Z/4x/6HL8+b9L+j1wEAAPAq/fu6/d+nEsNNkiRJc7TycNOeRc+qXVh79WJM6RPN9AyIfs7OXH3fLlkQffUi5Og9c/bNODAwMsNNUl9PfgYkV1Zyf7n6fllzj2t1ZU+8htGzInrdldIxPOlZLEmjMty0ZoabAKCD4SYAAIA2hpskSZLmzXDTKwMr62a4SSs20zOgZRH3lUXv9y5aBD2y6D3PvC+GTv87et2Zq89pZDXfmSedl/SpZnoGtNyvrvxdLHq/yJVF7zeaa/gqGiqKXvcJ6bnl7xuSVspw05oZbgKADoabAAAA2hhukiRJmjfDTb9mEdmapc89+j4c8T3RN/T0he3RIuQR1dwPrqr2npS835dqhn/2npLhJqmvmZ4BI+55o6o5lquOoXXYK/rnZ1zDV1HR6z7pqusjSbNluGnNDDcBQAfDTQAAAG0MN0mSJM2b4aaYRWTrVbMIM/Ed0Tc02zMg+lk7c9XASs2C6KsGrEYsyjbc9AvDTdKve/ozYIb771XHUHv/3u5x0Z+dcQ1/cfSciF77af7eIWmFDDetmeEmAOhguAkAAKCN4SZJkqR5M9x0TGtluEkrNtszoHYhcnJF0fscOVoM3Vv0XmeixeE1i8v3nlLN9+Wqz0l6crM9A1ruWVc0w70leq8z2zPANfyl6L3ORM/RVPTaO/i7h6Rvz3DTmhluAoAOhpsAAADaGG6SJEmaN8NNxyyEXivDTVqxb1jYfrQYubXae0EyupZjiO5JM1zPK5th8bz05GZ7Boy69/UWvc+ZK4re58yWa/hL0fucOSp67V0k6Zsz3LRmhpsAoIPhJgAAgDaGmyRJkubNcNM5rVPtYtArFoJKn27GZ0D083ZmhuGm0cfQMpR0VM0AUPKke5vhpmtK3790vUrpuXkG/LqW++/o+2btMbz/HEavOeManj8jotffxT1X0jdnuGnNDDcBQAfDTQAAAG0MN0mSJM3bNw43bYttk+jPa4xe7Kd5qx1oeNIAgHTUjM+A2nv36IW+LYuyRx9D9B5nzp5VNfe2p93Xar4roz+jb672Z0DP7RueAcnIWt5/9N8Xao/h/f1dw/5ruC96/Z0k6Vsz3LRmhpsAoIPhJgAAgDaGmyRJkubt24abjhZm1y7U3aSFcVojw01asRmfAS3365FF+y8xsmj/Z3L3o/TnuYXeT7yn1Sxe9zwvr/ZnUM/tW54BI+9f0f5LjCza/5n3XMP+a7gvev2ZdC0j6XNJagev3nmeSfrWDDetmeEmAOhguAkAAKCN4SZJkqR5W2W4aatlMZnWKH13os//SO67Jj2hWZ8B0c/cmbRYeES194G9UbUcQ2nRour0z556P6t5plsMXl76TkTX8Iie24zPgJZ74AzPgFH30dqfv+je5hr2X8N90TZnSs+j5hn2TpK+McNNa2a4CQA6GG4CAABoY7hJkiRp3lYbbkrVLiQbtdhPc1e7GHPUAkzpzmZ9BtTep3MLk0urXRC9N+pZUXsMKz+jar4no74jK1T7HdRz+5YB1296BtQ+/47eN3rtGdfwuGibMzV/R6g91s2oayVJM2W4ac0MNwFAB8NNAAAAbQw3SZIkzduKw021i+4sHlsjw01asVmfAbX36WRE0X5LjVoYHu37zMr3oppF4aM+nxWq/fnTc/MMeK110GQzomi/Z46eAa5hudxzNNrmTO1zueWa+fuppG/McNOaGW4CgA6GmwAAANoYbpIkSZq3FYebUtG2RyweW6P03Yk+/yO1CxelGZv5GRD93J3pvVfX3gMivbUcw8oZbrqm2qEIPbdZnwEt98IRv5dF+63RewwjnwGuYblc0TZnWs4h2s8ZzzRJ35jhpjUz3AQAHQw3AQAAtDHcJEmSNG+rDjdZEK33ahdD9i6+lGZo5mdAzX066b1XtyyIftc7YFU7VLL68K1n+TUZblonA66/VPu9j/T+blh7DLn7WrTNGdcwLtruTMs51DzPNpL0bRluWjPDTQDQwXATAABAG8NNkiRJ87bqcFPNwjcLoteodrChd/GlNEMzPwNaFkn3NGJRdu/zItrnmdXvQzWLwT3Ly6v9WdBz8wz4pZbhknfpmHuqPYbc+7mGeSXvF213puXZ/OnPSpJmzHDTmhluAoAOhpsAAADaGG6SJEmaN8NNeRZEr5HhJq3Yty1s7/m5jPbXorXae1CyejWL2D3Ly6v92dNzm/kZ0HJPfPIzIBXt70wu1zCvpGi7My3X0HCTJBluWjXDTQDQwXATAABAG8NNkiRJ82a4Kc+C6DWqXQDas/hTmqVvewake3tLtT//Zz51DK3v800Zbrqm2kX2em6eAT+NfAa0/n5Y+3NXek+Ltj3jGv66aNszLcffcv1ar5MkzZrhpjUz3AQAHQw3AQAAtDHcJEmSNG+Gm/JaF/npWdUuKrSgUN/Q7M+AmuGVpHWApXZB9JlPHYN7kOGmq6r9Luq5zf4MaLk3tzTyGZD21VLt8670fVzDY6XvE217puX5XPv3kMTvAZK+LcNNa2a4CQA6GG4CAABoY7hJkiRp3gw35bUusNOzql1UaEGhviEL23+K9tOqdYgm2tcZGW66qtqfOz232Z8Bnxr4qB2KyWkp2s+Z0lzDY6VF255puX6f+pwkaeYMN62Z4SYA6GC4CQAAoI3hJkmSpHlbdbgp2vbIJxaOpfdIi4nTwsCjxYHpn6fXpNc+dTHb0YLpGc4nHUN0bEdGHnPus0/2n/9spWPaziE65kRz9oQFZPvvVIna71vtz36J2mqP4Wk/U9t9ILrPbf8s/Xnt/e19X2fSa5/S/p56dI7bNWu5brnSPqP3PDKi0vMdfa6r5xnwU7SfHrXf0/T6aD9H0s9DTdE+zriGr0Xbn2m5T9Uef9LyPqUd3ZPTPx91L972Fb1Pkv7ZyPe7snR827m8n8N2HrOfgzRDhpvWzHATAHQw3AQAANDGcJMkSdK8rTjclF4TbXvkqqIFULVaFkrVnn8yajFWtO/NiNL1iPZ9Zju32uvSe016P/8Ri+R6z7lm+95j1TU9YQFZ7c9Jen1NtT8HJdLPZ021966an6ea61d77c7quceV3t+uPLee70XrdWy9Xpva791W7fevRq7W907XynOlvyc8A2q/I7U/B1d8/68+hqfvv8RM5xhtf6bl3tRyDaP36X0ulm4fbVtSOs+aY3yXth917699zr+/b/rfLZ9bzXdPWi3DTWtmuAkAOhhuAgAAaGO4SZIkad5WHG6qXYQ0ut5FXZHahV7RPs6MWISVu+41x39U7XXdL8xL7x+95kjr8Y7+/NO+Wo+l55xrz6H1GHVt37iwPampdP813/n9vaWkaB9narryuKNaPq8jufvGVedWe2/ca7mGNedRIn0GNY38zN4dla7xqPP2fGnvCc+Alp/Hmkq+h+k1tT8nNdX+LNTmGv5aTdH2Z1ruSS334aia65Beu1X7HdlvW1Lt51Oi995fe8779xtxPrXPammFDDetmeEmAOhguAkAAKCN4SZJkqR5W224qXYR08hFR+m9r1jYtVd6vLXXIcld21y5cx9xraP9ntm/Z+01abkeV37+Ldev9ZxbzkNz9pQFZNF36kzNz0O0/bu0vyT6syOl1f4c1v6s1/y8pte2VnseJXLHc9W51ex3r/b6XXHNNulYtnt2rtrvdo2oq74rpeerX/rWZ0DNdyHa/l36Gan93tYUbX+k9j6zFe3rjGv4S9E+zrTci6L95ESlc4teG9muQ+3nkpT+LnLl8yXpuffXnnd6fcu1OtP68yx9a4ab1sxwEwB0MNwEAADQxnCTJEnSvK003NSyGGlUoxdCnSldJBVte6Z0EdtR0T7f9VS7eO79OtV+RmfftffSa9P7RfsZqXaBXMs5t56H5uwpC8hqv3elPwulPwPbz3v0Z0dK75ktP4c11Vy72nvIVut9ISd3PFecW+u5lO5/q/V9apV8X65cfP5e7fe9Ru1nIAOupd/H9Lra727Jz16q9uev9Nzei/Z1xjX8pWgfZ0qPe6v2uiRH97uaZ0t6bct7JyXX8FPPuaT2mqdqz732e1aj5filb8xw05oZbgKADoabAAAA2hhukiRJmrdvG27aFmlt0iKk1oVItQvfjrpyIdSR7Tqc1XJcrZW+V8/CrtoFdO+fb3rv6HVHSo+1dr+90nUo7VPHVnNM+mxPWUBWe78q/c6V7ner5j4z+hg2tV1xzPtq9l8rdzyjz631XEr2va/1fVrlnle138Ea71157qrvW58BSUm1z4Doz46kfZdU+zPRmmv4i9qifZwp/TvCVst98ejafOr5cnaO6c8+dRx7pd+XrU/9PahU7fdG+sYMN62Z4SYA6GC4CQAAoI3hJkmSpHn7tuGmUdKCrBG1LCQcKVe0zZnWRVfRvo60Fu3rzHu1C9xKr0W07dVKv7+fWtRXu9hQn+tJC8ii79aZkqLt3u2/v7X39JKi7Y60/CzVLDCuffZdvXg5dzwjz631flh7ze76veDsmXXlMe278n1Kn8l67SnPgJafz5LvRMk9ZP8zfvczoPZ+s881/NFyDaP9nKm5H5Vcv8jRe7Tur9ZZ0es/JX2/Smv5mbhSy3dT+rYMN62Z4SYA6GC4CQAAoI3hJkmSpHkz3BQb0QwLpnKLpGoXGNYsGNuqfY+aBYFbI86j9vMqOc5PLTCMlBzfp76jLd8bfaYnLSCr/XnKfe9Kv//vP0vRa47kfg5rfwZz+4uquW41C2s/cX/LHc+oc6v9HPZqPpOe9+l1dv61z9Aa+676zuS+JzrumwdcS373iLZ7t9/P6Ht27f56f5+K9nnGNfwp2s+Z3DGn0mt67olHXXWffXfUp97/TMn1T9V+dz7B80yrZ7hpzQw3AUAHw00AAABtDDdJkiTNm+GmXxvRTIulzhbxtRxnbbWL3FoWHda+R1TttcgtnEvnEW2Xk84lbZv2v2ndV67ac26Vu1a6ryctIKv9OcgtEC39/r9Xc7/J3c9qz6mlmuPNXbOtT907cscz6tyi15eovbfVHO9e2m7Ec+Ho+9iyr1Jbtd+Z0nM++1yV75ufAclZpft7L3rNkfQeZ9WeU2+uYds1jPZzJt2X9veu/T2s5TN4d3ZNWp8zNY7uu59471LpeudKr4m2vVvuOy99c4ab1sxwEwB0MNwEAADQxnCTJEnSvBluim2L0lqbaXFXcnYutYvsaq9LtI+c2qJ9HDlakFe7wC13HaJtcnKL2WqPcfT+WtV+Z/S5nraALPp+nTmr9N73Xs098+h+sxVtcyT383xUzfMod7xb0ba10nvlji13PCPOrWYfe7X3tZrvzSZ3/ukYao8/quXYSm2N+rl5P2f19aRnQMvvLGeV/OxE38Xan5ezan5+z34uSnMN265htK87nT1/aq5Hq+g6tny3rlTyWc92zHvSqhluWjPDTQDQwXATAABAG8NNkiRJ82a46VzLIrjeRcLpPdM+0oKrTe8+k6NqF3alYymt9bjTMZVW+x5H+669DmfH2HLepedce5xn1e4rks41Ovb0z7cFlpq3py0g275TpdL38Kjo9e+i7Wt/vo+q/fkrvUe8V3PNSp55tZ/B3tnnkc7v/drmjqf33FrPpeWziPZzJnfu+2rOI/oM0vmkfWyi7c7st323lf7vaNtIyfVN53H2fVJZ3z7gevZdil7/7ujnJXrtkd5j2Iz6vkf7PuMa1l+zK+XOoeZeG0nbH31m6Z+n10R/3vO+23sm6X2299rer9XZ9yaV/jzartb+uLdj7/0c0j6kFTPctGaGmwCgg+EmAACANoabJEmS5s1wU5nc4qh9rYuZ0na5ehZhnZ1D9PozpUXbliqt5nqfXePaa3t2PWu/A7UL2GqO9WzfPd+ndI5n12Cr5DW6r28fbjr6mS/97h99f6PXHjn6Gaz9+Wut5podXa990XY5JfvdStdlO+bcdj3nVnv9N0ffibPSdyDa15Ga67UV7edIrtrjLSna7og+19OeAbXfzd7771HRa48cHcMVP2cluYb1Rfu6S+4ZVPNcfHd0nd97P4baz2Ev957pvXrO6azS7/CR3GeRuurYpW/NcNOaGW4CgA6GmwAAANoYbpIkSZo3w03lShYwtS6SKtn3vpaFUmeLpWuPu+R4exa6JVdc77MFdKOuQe1+zj6Xs6J9HTmq9lg3rces+fr2he1JVOl+jqq5Bx/9vNScy9m9K9eIY92q2dcmt8+j0jmPPJ79vlrvfUf3/Vy1163l8645p9x51Hw3k5Ki7Y60XmfV97RnQMvPblTpd/yomp+Ro5/n1vtXb65hfdH+7lByb6x93mx67rst71n7ebR8b5Oz82rdZzr2muvV+j5H33vpmzPctGaGm2Ai0S8lm//aP/FfDbcB7mW4CfhW6XeP6HeSTbQNAEANw02SJEnzZripXMkirJbFXTWLo/aNfq/o9UdKFlu1HN/e6PfIfX61C8+OrmXNYs2kdeFazfEeHWvtOW+O9qfn9cQFZNF38kz0fY1e9+7sZ7P25zwqet2Rnp+5kffJaJszuf3lyp1367lFf57T8xlE+zvSc82i/UVyz50R3+/3ou2O9H5vVN6qz4CSe8fZ9zDtM9rmSFT0uiOtvyseFb3HmdWvYbS/Tyt9BpV8Lu/OPqeSon2eaX2/2u9Mcva5t+wvaanlvXo/F+mJGW5aM8NNMJHol5KN4SaYk+Em4FsZbgIArma4SZIkad4MN9XJLTKKtjnTs2hp9AKv0YuZo21q5Yq2OZJb1Fh7PdPro9JnGr3+SE/R/iJHxzr6O6Tn9cQFZLU/Y9F3Nnrdu6Ofm61omyPvx1D7s9dTzfU6eybVPiOSq2s5t9rvT5L7LpxVe9167rE173VW7TGXFG2X03PdVdYTnwEjfqai173L/SxG2xx5/y5/8hkQ5RrWFe3vk2ruhS3PuJ5qv0tJzfm81/J+R9V+h5KeY//0ZyM9McNNa2a4CSYS/UKyMdwEczLcBHwrw00AwNUMN0mSJM3btw03nS04Sn+WFkS1LCzaO6plgVRvtQu8tsXdR0XbHDm71i0LzyIj3yNX7ed3dGzRa4/kPo9c0T4j6VpFtXxnzz4TPa8VFra//5yVfu9z1TxL3o+h5hyOfn5L6znOfTX7SXqPu6Tac6s9h6T3nlf7fe25bjX39LPzqj3mklqu/eYT36VVe+IzoOZ7vtlX+v3OFW1z5P07XPMzln52Ruca1hXt81Nqn0G199rea1P7fu+fY0vRfs8cXcPan4M7jn3Ee0pPynDTmhlugolEv5BsDDfBnAw3Ad/KcBMAcDXDTZIkSfO20nDTezWL4vaOFoHV7m/UYqVo32fOqjmHs+OPXt/qqJrFdCXXunaBW/Rdq93Hpxx9Z1uOV9/VUxeQRd/NM/tK73O5au6Xyb7oz4/UPNeiau6VR/eKVPT6M5+o5txa9F771NXH2Ors3Hq+20fV7jOS9jHiM9EvrfIM2H9vSn4mz+6FWz0/JzX3hfQ+VxS915mVr2G0z6u1HnPNdUk+fW1GVPu9OTrH9J2OXn9kxPNn1LFL35rhpjUz3AQTiX4h2RhugjkZbgK+leEmAOBqhpskSZLmbeXhplTtoqZNVO1islHVLpI6u0a11yOq9nhyjo43eu2RkmrPPTqu0ec+UlTtOZcsVNWzeuoCsp7Fu9GfvytdTBpte2RrxH22ppprdfYzHr3+yKfuFbXfgxql34Fc0b5ncHZ+tc+ykmq/9znRM1j1PfUZUPsd3X/foz9/V/LzX/ud3n9noz8/clWuYXnRPq9Sct3Oqn0u9t5Lo30eGfW7Qe335uia1uyn93PZF+3/yKd+n5JmyXDTmhlugolEv5BsDDfBnAw3Ad/KcBMAcDXDTZIkSfO2+nBTqnaBVBItcKpZTDZyoVLt8eeuUTq3aLtItK/S61D6uuha1xxj6bUecR1rjuvTomrPOfos9OxWWdi+3QdKv/PRz3dU6X0s2X5+ao59xM9czTEe3S9nvVfUnFuNo+vQUrT/GZx9RjXf0aS02v2WKP1ZVdxqz4BU9OfvSou2PbL9zNUc+8h70XuuYXnRfnul40rSuYy8j6V9Ru93pKc7fzeI9n/k6DtQc/wjj73mMzo6dulbM9y0ZoabbmJQhUj0C8nGdwbmZLgJ+FaGmwCAqxlukiRJmjfDTT/VLgSLFhpFrzsycqHS6IVltft7L3pNJB1HEv3Zu/dqPq/Sas87+q7Vfo8+KTre0d8dPa8nLyCLvqNnUq33nKNK95ds9/2abaKf29pq7ktHz6aaY04+1VX33BHXfSva/wzO7udXft7R9r3OzkXnPfUZUPv7S5Iq/W6X1vKzUnPfuvK77RqWF+33zMhnSG21z8WeWj67UY1475qfgZGf6Sc/I+lpGW5aM8NNN/l7/9N/798W/Rnrin4Z2RhugjkZbgK+leEmAOBqhpskSZLmzXDTT7ULpNKipPei1x0ZsdBuX/QeR0reu2bR1f6a11zHVOmisvfPNXpNJPqcjio9lk30XatdrPZJ0fGOOGc9uycvIKv9eSu9P9Xcn2t/hlLRPz8yoprrdHTPrLm3J5/qynvuiPtd7ffjk44+69SVn/dV1+TsfHTcSgOu6btXcs+o+S7Vfp9rX3910XueWfUaRvs9k47xrko+n03N5xR15+8GI9675rs08jOd9XcqaYYMN62Z4aabpMGm9KAx4MTe+y8ie4abYE6Gm4BvZbgJALia4SZJkqR5M9z0S9H+zrwXveZIWtQ0sug9jpS8d81ir/3+oj+PtGyzVbMgrOb7UHPOSbTvmgWFnxYd74hz1rN78gKymntBUvrzWfs9j/ZxpOYeUXKvLmnEQufaa/2prr7n9lZ7j/2ko886dfXnna7LFZ/dqJ+ZlfIM+LXa71G0jyM13/uzn9FRuYZlRfs+c+fvy5+8PrXfn5GNeO+aZ/TI7rxu0uwZblozw0032YabkqcNOO2PPRJtQ5noem4MN8GcDDcB38pwEwBwNcNNkiRJ82a46Zei/Z15L3rNkdpFf7mi9zhS+t7RtkdSNQu19pVut322pYv2ahfs1SxwS6LvWs2Cwk+LjnfEOevZPX0BWfQ97VXbVT/3o37eao7v6L4560Lcq++5R9ejtNp77CedndunPu8rro/nVF1PfgZc9fNVW+3PS6m036tzDcuK9n3mzvvQiGd+aZ96VkSNeO+a7//I7rxu0uwZblozw003eR8QetLgiuGm60TXc2O4CeZkuAn4VoabAICrGW6SJEmaN8NNvxTt78z7e0WvOTJqsd1W9B5HSt+7ZuFVuhali+neF9KVLizbjjv6s0jtNa5Z4JZE37WaBYVJen3azydEpX8eHdeRo/3ouT19AVntz1yJ2mrulTVGVXON3u/PW7Xn+Kmu+PzfHV2Tkmrvscl2z77aWZ/+vNPxRPtt0fN5rZgB11ct35+R39+9TxW9d49vvIbRvs/k7rFXVvNc7L1f1j4rRl6XmvNMomq+dyOPfdbfqaQZMty0ZoabbhINCP3hv/ovha+djeGm60TXc2O4CeZkuAn4VoabAICrGW6SJEmaN8NNvxTt78z7e41YZNXSlQvLou0jNeeejve96HWR0vdpWaxXs8Atia5j7WcRXYtPNuKc9eyevoCs9mcup/VnMtpXj5H3hpr789G9c9Z7Re25Rf+8RM/5RPs7M0O1P1ejStd5xM+0Z1V5ngGvZnkGtPwe25prmC/a/5k770G1z8We0nlG+z0y8rqMOM+a42/9XkdF+z8y8nssPSHDTWtmuOkmRwNCTxhwMtx0neh6bgw3wZwMNwHfynATAHA1w02SJEnzZrjpp9rFWcn7e9UuDhy1wKtmcVdS0+gFj0lUy/U/07IArfYYos+v9nqNXCjX0ohz1rP7hgVk0Xe1Vet3vPY+nDPyZ+3TC4CTT93bas+t9jz2Wj+TaF9nZqj2WXZFtcewN/Ln59t7+jOg52c60lrP9zXyyd8PXcN80f7P3HkPGvHML632u3PXZzLid5vea7V15zWTnpDhpjUz3HSTswGh2QecDDddJ7qeG8NNMCfDTcC3MtwEAFzNcJMkSdK8GW76qXahUfL+XrWL8kYtVor2faamluty5mxhWPT6Vi3Vnmv0Xavdx6iFcq2NOGc9O8NNr1qrvf/njCzdZ6L3iIy8R3+ilnOr2eZdyz0w2s+ZGe6ztd/nK2v52Rr1+9UKeQa8am3mZ0BJ0TG0am3maxjt/8yd9/FRz/zSov2eGVHtd+XomVD796ARjTp26Vsz3LRmhptukhsQmnnAyXDTdaLruTHcBHMy3AR8K8NNAMDVDDdJkiTNm+Gmn1oW1L1Xu0Aq6a32uFsWsbVcmyNnn8+o92ldBFb7+UXncsd3oKcR56xn9w0LyHqGVfZa7x1b0T5b9B7He6MWOtde50/cL1rPrfZcNmfX56jaZ9voz7+l2mO+utrjafmcVu0bngG1348jPd+blt//jtzx/XUNz4ve48ydvy+nc4+OKTLiOtW8XzLiGRft98zR51H7nRtxvaL9nrnzuyTdkeGmNTPcdJPcgFAy64CT4abrRNdzY7gJ5mS4CfhWhpsAgKsZbpIkSZo3w03ti+mioted6Vkk1XLcLQvKWq/Pu9y5jnqf1mrfP70+KnrtmaP9lJS27d0+OqYjPe+lObOw/Re93+/aBb5HRv+c1RzX2X269jr3PN9Kaz232nvfXu151b5Xz8Lv9F6bnmo/608Uve+RT3z3vqVveAb0/Dzv9fzspaJ9tug9jpZcw/Oi9zjTew/uqfW52Frt8yLpuT4157c5quV7P8uxS9+a4aY1M9x0k5LhpmTGASfDTdeJrufGcBPMyXAT8K0MNwEAVzPcJEmSNG+Gm9oWGh0tmvvkAq9PLpBqea93JQsNo+1qpONsrXaB29HnVvsdKLkuUdHxpvNP+0tKvlejzlnP7VsWkEXf11q91f7sHxldzf377B5ae79Ieu7JJfWcW8v5bGrvhdE+zrTea9+vR/rf+2dC6X5rv8s11RzHvp7PWsd5Bvyit1mfAaVFx1Krt1mvYfQeZ1rv4SP69L0ynWu07zOt7zv6vVr2l7TU8l7p50FaLcNNa2a46Salw03JbANOhpuuE13PjeEmmJPhJuBbGW4CAK5muEmSJGneVh5ual3QlBy9T+s+a447VbNwbdOzgK3nWm1K6l3U2FPtOY78DtR+/qma78DR4rhR56zn9i0LyFruiXs998d90b5rXLGQteba5K5Dyz269b6RtssdT++59Txzas6r5jiTlu/ByPt57XWpabsWtd+L3s9acd/yDOj5WU5GfGdqfwYjd353XcPjovc5U3t/G1k6/+iYIqOuVbTvnNr3bv1unD1PW/f5qWO/83sk3ZXhpjUz3HSTmuGmZKYBJ8NN14mu58ZwE8zJcFNeem4cmfG/UAj8MNwEAFzNcJMkSdK8rTbclP68d/Feclb0+hJpoVTu+HuO/WxxV0nRPkuVLgJrXfyV9C7Qq33vs88qev2Z2mNPr4/2c+Tosx95znpmFrb/6L0/btX+bL674mes5phy96Lae8am9R6X227EudXs413p59Vy3Wq+Cy37P6v256m092tdc4777XJG/Tyv0Lc8A1p+BvZGfWeifde487vrGh4Xvc+Zmnvb6EY8F2vr+e6UXKvW53Tu/K7+zqf9tx57Iq2Y4aY1M9x0k7SgO3oAnZllAXju2KNtKBNdz43hJpiT4aa8s+dG+rNoG+B+hpsAgKsZbpIkSZq3bxtuSguIItFrW5UsZIq2K5X2n6T9JNv/7jmPtG1vPeeVu2b7ou1LpOPrqfb8zt6v5VqVfkYt34OjRp6zntk3LSCLvrOlRn23e583V1RzTCX3oZ5z3J5tR6U/378+dzyjzi16fYmS67UVbZ9T8r2svY8nuWfy++eQU9LRPnPHkqr9znlWlecZ8GNUtT877+4uOqZSo5rxGkbvc+bOe9Co52Jt0f5rpM89XbdN+t+19/53uedLep9ouxrpGNP77I9/+9/R60vljl361gw3rZnhppu0DDcl0b4+zXDTdaLruTHcBHMy3JRnuAmeyXATAHA1w02SJEnz9m3DTZ9QUu9irNHSQqsRRfvOqV0417IYbMTivNoFbrlrGm1TYlsc917rIrmzxXGjz1nP65sWkPXcd0fV+nOanP2s9lRzXUrupbX3jSPpvTbRnye54znb9t3ZvnrOKXeMW63vkfYf3XvT96Xm/Pdy1X6Pc5Wce3rP9/NsPUeV5xlQ/jNc0ifuJVfmGsZF73Umumd/qprPcJbP7Qol5zbbMe9Jq2a4ac0MN92kdbhphkXghpuuE13PjeEmmJPhpjzDTfBMhpsAgKsZbpIkSZo3w011SherzbRYauTCtdoFz0napqaWa1f7HlG175v7LszwHch99qPPWc/rmxaQtdyfkhH3j33Re5S46ufrioXOrde6Vu54Rp5bzzmVfodqjvcqJcdaey1yRdtcpfSz0E+eAWN/T05F71Fihu+uaxgXvdeZO39fHvlcrG2GZ9ym5DOo/XvQp/j7llbOcNOaGW66SetwU3L3QnDDTdeJrufGcBPMyXBTnuEmeCbDTQDA1Qw3SZIkzZvhpnK1C8BmWDA1etFayzm1FO3nzIhqz61k4VnrItFRcsd4xTnrWX3bArLoe5sz+nvdurj3qmqOp+aZ0XqeNXLHM/rces6p5HtUe88dreQapGqfXWf1XNMWquubngGtP1+jB2Jaf/ebIdcwLnqvM6N/r6hp9HOxtk/f8yOl1//uZ3Lkis9EelKGm9bMcNNNeoabkjsXgxtuuk50PTeGm2BOhpvyDDfBMxluAgCuZrhJkiRp3gw3lWldaHT3Aq8rqllw2Hrdat5j1ILK2gVupQvn7voOlFyXq85Zz+nbFpC1/LyNrmVR9qj7WFTNNam9Z199f8sdzxXnFm1bquQeWXvfHaXms639Dh/16XO98ufoWzPgOv4Z0PK9r/n5vLro+HJGN9s1jN7vTMmz4KqueC7WdNczblNzTncf67uZ7gPSXRluWjPDTTfpHW5K7loQbrjpOtH13BhugjkZbsoz3ATPZLgJALia4SZJkqR5M9yU17vQqGaR2UhXLayrWQjWutC45j1GVbvAreb6fvo7UPqdvfKc9Yy+bQFZ7VDGVQtJo/c6c+XPVs39p+V6XHl/yx3PFedWe1/c+8R7tKr5jo0abkp96lxLr71e8wy45nsTvdeZmQbzXMNfF73fmSuf6bnS5xEdU+Sqz+6OZ1xSez53HeeRO7830iwZblozw003yQ0I5f58c8ei8NyxRdtQJrqeG8NNMCfDTXlnz407nmNAGcNNAMDVDDdJkiTNm+Gmc6MWGX1y8dRVC9X2lS6c6yna37uR51r7GdV+N0qvWa+axZ1Xn7Pm7xsXkEXf3SNXLYau/Xm/sppjab2nXnV/yx3PVefW88wufZ+e96hRc95btcMNudK51nxWtVrOUT992zOg9ufqqmdA9F5nZso1/HXR+51J1/Cuau61V947r77vv2u55rXf9drX17jzOyPNlOGmNTPcdJOSAaHcazafXhhecuy0ia7nxnATzMlwU97Zc+PTzzCgnOEmAOBqhpskSZLmzXBTLC3UG73IKO3v6kVeVy0wfK9kcVfvgrmSxdUjq12w1vL9KDmnVul61x7TJ85Zc/eNC8hq7rNXfadrftavvm/XXI+e+/YV97fc8Vx5bjX7flf6mabvX8/75NSe81btZ1naFefaeo76afUB16uq+Rma8TscHeeRq5rpGkbveebO35dr7rOf+O5d8bvBXjqH1uudtov2eSS9vnabnBl//qU7M9y0ZoabblI6IJR73eaTi8NLj5160fXcGG6CORluyjt7bnzy+QXUMdwEAFzNcJMkSdK8GW56VboguafRi6KSOxZGRcex11vuOo0+55YFbi2l7dKxR/ts1fq9/dQ5a96+cQFZzULaK4veL3L1z1XN/ab3vjr6/pY7nqvPredcaj7X2ntxTjrunu9V7WL0mkada+856qeVnwEt94TSar7nn/i7R22u4WvRe565895U89y68vPbl65H7XMlJx177+de8x1L9p9rzXU+cuf3RJo1w01rZrjpJjUDQrnXbj61QLzm2KkTXc+N4SaYk+GmvLPnxqeeXUA9w00AwNUMN0mSJM3bqsNN24Ko5K6FRb0LvUYs6urpbEHYqMVy0b43oz+3s/OJ9L7/DJ//p89Z8/WNC8hKv9dX3z9LF75eXelxJKPu3SPubyVdfW6198h3tffM3vdL51j7nlG1n11LreeazvHqn92VWvkZ0HJPqCl6z8iMuYavRe95ZsR9uLX0mUTHFLn683svXZee3w2Skc+A2ufQ++ea/nfN9d54hknHGW5aM8NNN6kdEMq9fvOJReK1x0656HpuDDfBnAw35Z09Nz7x3ALaGG4CAK5muEmSJGneLB6Yo22xVxItkkr/bFvMNdOCqPfj3Iw6xrSfaP/pWnxT2+d/tkBu/x2QRvWtz4DoZ+jd+yLV0R3dv/ZW+Hk+e75t9zX3ttfSNcs9F/bX7cnXbv/9yJ2nxrfyM+Dq79TRd3ovfbdnLTred66hWqt9zqXXji7tM3rfI2fHsJ3H+7lsx3/VOUjfln8/uWaGm27SMiCU22Zz9RCM4abrRNdzY7gJ5mS4Kc9wEzyT4SYA4GqGmyRJkubN4gFJWjfPAElaN88ASas2crhJ0pj8XrJmhptu0jogVDrg9If/6r8Ubj+C4abrRNdzY7gJ5mS4Kc9wEzyT4SYA4GqGmyRJkubN4gFJWjfPAElaN88ASatmuEmaL7+XrJnhppv0DAjdPeD0yeGmdA5JWlx79L7pnyd3Df+k9z07vu3PSz6PaPvNXecHnHvycNPR/XX0ffXo/pikP4u2WdX2mUTXqfczSdtete+Rzp77MxxrOr6zY7z7OLdjS46ObfvzaPu9o31som0AAGoYbpIkSZo3iwckad08AyRp3TwDJK2a4SZpvvxesmaGm25ytBh2E22zF20TSQtco+179B57idxi2jOfWkycuw6RtM3ZZxJts/nEOQH1njjclO5DNfew2vtPy/3xyH6/6bij12xGPfPOjj/9WbTNu9qhkJrPJL2u9FzT62qfqaXneCTa5+bsu1R7nEk61trvZ6uW49t84jhzPx9Hej6TaBsAgBqGmyRJkubN4gFJWjfPAElaN88ASatmuEmaL7+XrJnhppvkFjBH2+zVLGAtXQBdqvfYz7QuzI2k4xx97knP4uZNOrZo39FrN1cvigbaPG24qfUednTfiuSeEzX2+809I0bd88+Ov/Q61AyFXPWZ9D6vWq9ntK9N9Cwb9eyP9j3CqONL0mc26nu6Sfsb8TMXHVfN9xgAoIXhJkmSpHmzeECS1s0zQJLWzTNA0qoZbpLmy+8la2a46Sa5RajRNu9qFtuOXEg74tgjIxbmRtJ+o/erNWrx8N775xK9ZnPVom2gz5OGm0bcw6L9vht5r9zvN/fcG/WsOzv+0mdK6VBI77U6Op5Rn0HLNY32s3l/lo06zk3p51Nq9PFtRh1n7ntW6/24DDcBAFcz3CRJkjRvFg9I0rp5BkjSunkGSFo1w03SfPm9ZM0MN90kt1g22iaSW+i994lF30m0zZmac2jVu4j4ymPcfy7Rn28MN8GcnjLcNOo+VnI/zT0nauz3mzuH/f20x9nxlz5PSoZCRl2n92Maef2T2usa7WOzf5aNPs5N6Wd0ZtTPy5ne4/zE9TPcBABczXCTJEnSvFk8IEnr5hkgSevmGSBp1Qw3SfPl95I1M9x0k9yC1GibIzULcEcs/L7r2Hu1LiL+xDFun0v0ZxvDTTCnJww3jb6P5e6nuedEjf1+c+ex3Ut7nR1/6bMkNxQy+jPZnhEjr/2m9Jw30T42Vx7nXu0x743+bM60Huenrp/hJgDgaoabJEmS5s3iAUlaN88ASVo3zwBJq2a4SZovv5esmeGmm+QWpUbbnKlZiNu7+Hvksdcuzk2LbPfS9jX7SK+NjuNMtJ+c7bhqji/3Xul8348NuN8ThpvS/SO6r+y13LOOlO6jxH6/uWdd7/Ntc3b86c+ibd6VXPMj2+dQex1rP+ea/dc8g6LtN2k/LcdZc6ybtE10fDm177Wd06b2eGuPs+T6RbbjKj2+7XyiP9tExwcAUMNwkyRJ0rxZPCBJ6+YZIEnr5hkgadUMN0nz5feSNTPcdJPcotJom5xPDTiNOvbSxbnp/UqOt3R/Nedesvh3k94/2scmve/ZMebeK7d/4B5PGG6K7imb6B6b/vfRPanknlxz78zZ7ze9b/SaTe64Sp0df/qzaJt3pc+kTXr90fHX7uvd2b7TPy/5vErPO4m235y919lxbtJrSo53U3PcSem1Tvst+b6V7q9kX0l6XbR9pOQYc9czd62jfQIA1DDcJEmSNG8WD0jSunkGSNK6eQZIWjXDTdJ8+b1kzQw33eSqxaI1i16j7UuMOPbS4yxd7LtJr88dX/rzaNt3NQuco+3P1HxOm3Q80b6Ae80+3HR2v8ndv97vp7X35M3ZfbnmHpq7d7Ye37sRx1v6DElKj/vsuI6M3He0XSTa9kx675bPrvR6lO47vS7a/l3tsabX5441/Xm07bto28iV13Mv2g8AQA3DTZIkSfNm8YAkrZtngCStm2eApFUz3CTNl99L1sxw001yC0ijbUqVLs4tXUj7bsSxlyygbVmYu8ntv2RQKNruXc8xln5OG8NNMKfZh5vOhmxK7mGlrztzdk+ueRbl7pu9x7kZcbylw001x5w7/3e112PEszOJtj1S8/lHcseclL5Hyb56vmO917fkO/WJ67kX7QMAoIbhJkmSpHmzeECS1s0zQJLWzTNA0qoZbpLmy+8la2a46Sa5xaPRNjVKF0C3LILtPfaSY+tZPLyJ9rvJnXfJAuIRx1j6OSWli8qBz5p9uOnsnj3iPlbi7BhqnkO5e+ao8xlxvFcNopwd217LvnPHXLrPaNtIyzFGSq5J7hla8jwe8f2K9rvJXY9om71PXs9NtD0AQA3DTZIkSfNm8YAkrZtngCStm2eApFUz3CTNl99L1sxw001yC0ejbWqVLKxOahfD9h577rhyC5BL5d4n2mYTvX5v1DEmJQuqk5HvCYzz5OGmT91Xzo6h5hn0bcNNLcdbst+k9VpE+9qUnnu07buaz73E2WeW5N4vd11H/azk3ifaJin53KPtWuWu5ybaFgCghuEmSZKkebN4QJLWzTNAktbNM0DSqhlukubL7yVrZrjpJrlFo9E2LUoXp+YW/e71Hnu0zV60TauzYz0659wC4pprVapk0fKohdXAWE8ebrrifhYZdQzfNtwUbVci2te7aLsSZ+eeRNu8i7Z7N+qz2oveZy/aZhO9fi/aplXL9yt67d4d1zOJtgMAqGG4SZIkad4sHpCkdfMMkKR18wyQtGqGm6T58nvJmhluusmIxcOlcu+1OVpQ+67n2HML00cP8JwtLj8639z5XbGAOHddEsNNMKfZh5tyQzal9/4eZ/fVmvfP3StH3Z9HHG/uuvfc08+OL+nZd+64o23eRdvt9RzfmdZrPvvvJrnjq/kZqpH7niXRdgAANQw3SZIkzZvFA5K0bp4BkrRungGSVs1wkzRffi9ZM8NNN8ktGI226VGyQDUpWSDbc+y5hcfRNr2i99nUvr7k+rRqXZQN3Gv24aYkuqe8u/Iec/bcqLmvGm76cXZ8Sc++c8cdbfMu2m5v1OcUid5vc/TZjTjnWtH7bN5fmzu+u65nEm0DAFDDcJMkSdK8WTwgSevmGSBJ6+YZIGnVDDdJ8+X3kjUz3HST3MLkaJteuffc5BZu9xz7Hecdvc/mfUFwbuF8z4LxnDvfG2j3hOGmmvv/Ffeas/dPfxZtE8ndJ0cNeYw43isHUs6OL+nZ94hrHG23F20zSu7ajNqmV/Q+m/drfMfxbe58bwBgDYabJEmS5s3iAUlaN88ASVo3zwBJq2a4SZovv5esmeGmm9y1WDT3vpv0umj7pOfYo9fvpX2PFr3P5n0R/5WL0UtE77kx3ARzesJwU25g5V26d46855zdi9OfRdtERgzelBhxvFc+T67c94hrHG23ufpZ1nJtotftpc98tOh9Nu/XKHrNJu1r/9rRctcz2gYAoIbhJkmSpHmzeECS1s0zQJLWzTNA0qoZbpLmy+8la2a46Sa5ha3RNqPk3ntztGC259ij19/pfQHx3Yt4o/fcvB8rMIcnDDcluaGVIyOGJ86eGzX7HzF4U2LE8V75PLly3yOucbTdZtRndKTl+KPX3en9eR+9ZnP17wZXftcAABLDTZIkSfNm8YAkrZtngCStm2eApFUz3CTNl99L1sxw003OFk4n0TYj5d5/Ey0Cbj323ILjO7wvUj87t/fXXuHs/a9ewAy0ecpwU9JzH+65B466t7YMrrQYcbxXDoVcue8R1zjabjPqMzoTve/m/VmaO9877L9jIz6PHrn3j7YBAKhhuEmSJGneLB6QpHXzDJCkdfMMkLRqhpuk+fJ7yZoZbrrJ2cLpJNpmtNwxbN4XzrYe++wLiJOzc3t/7RXOFqwbboI5PWm4aVN6/4+0DFOMurfmniMtxxYZcbyGm2LR60eL3ndjuKle9L6b6PUAADUMN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGm25ytnA6iba5Qu44NvvFs63HPvsC4uTs3N5fewXDTfA8TxxuStI9ufQZ8K72fjjq3vqpQY8Rx2u4KRa9frTofTeGm+pF77uJXg8AUMNwkyRJ0rxZPCBJ6+YZIEnr5hkgSZJmye8la2a46SZnC6eTaJsr1Czq3RbQth777AuIk7Nze3/tFQw3wfM8dbhpk+7Nuft6pOaeOOremnuObM+pXiOO13BTLHr9aNH7bgw31YvedxO9HgCghuEmSZKkebN4QJLWzTNAktbNM0CSJM2S30vWzHDTTc4WTifRNlepWdibXtt67DMs0M25csF4ibNra7gJ5vT04aZNusfk7u/vSu9LZ/tNfxZtE/nUc2TE8V75PLly3yOucbTd5upnfe3xjzjfq0XHtbn6d4Pc9Ym2AQCoYbhJkiRp3iwekKR18wyQpHXzDJAkSbPk95I1M9x0k9wC8mibK+UWr+71HHv0+s3VC3RLXLlgvMTZtZ3h+gC/9i3DTZvcffBdtI93I4aFkk8Noow43iufJ1fue8Q1jrbbXP0sazn+6HWbGZ690XFt7r6e0TYAADUMN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGm25ytnA6iba5Wm4Ba6lo35vo9ZsZFhC3LIoeKXrPzQzXB/i1bxtu2qR7TnQveldybzLc9GvRNqWu3PeIaxxtt7n6WZa7NtHxR6/bXH28JUb9/LS48rsGAJAYbpIkSZo3iwckad08AyRp3TwDJEnSLPm9ZM0MN93kbKFqEm3zCblFzSWi/W7uXKBbInf+Vy5yzi0gnmGBNfBr3zrctMk9r0ru3aPu/Z+6R0f73pQe75VDIVfuO3eNo+Ggd9F2m5rPu8XZdy2p3ebq4y3Rck6jRO+3F20DAFDDcJMkSdK8WTwgSevmGSBJ6+YZIEmSZsnvJWtmuOkmdy5UzekdcIr2uZn5vDfRce1F24yQuzaGm2BO3z7clET3pL1om72z+1v6s2ibI9E+Np8Ybip9D8NNx6JtRsgd+9FnN/vvJrnPu/Q7Wavk98FoOwCAGoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNN5l9IW3PgFO0v81dC3TT9S7dd+4YSxZ2t4jea++qawP0WWG4qfe++KnhpiTapkbuXEc9S6JtSl2579zzv+QZGG23V/uZl2r9no76zGvV/G4SHdfmruuZRNsBANQw3CRJkjRvFg9I0rp5BkjSunkGSJKkWfJ7yZoZbrrJ2ULvJNrm03ILnI9E+9qLttmLtumxX5ybrntuYXbuvK9YRJz7PiRXLa4G+qww3JS7L+buq2f3uNp7au5+GW1TIzfQkTvXTW4/0Talrtx372edRNu9K72OpXLHnUTbbaLX70Xb9Kj93ST3vb/jeibRtgAANQw3SZIkzZvFA5K0bp4BkrRungGSJGmW/F6yZoabbnL14uxRShe37kX72cude/rzaLsWR8efe49om72Rg0al13jkewLjPG24qWUIInefyu3z7L5fe8/PDfa0nN9e7hkVbRO5cgDpyn33ftZJtN27kc/6JPe55Z6hue1HHu/RNT57j9xnnkTbtcpdj020LQBADcNNkiRJ82bxgCStm2eAJK2bZ4AkSZolv5esmeGmm+QWjUbb3CW30PldtI+9kv2VLJ7OKXmfo8XOJYuIP3WMm9zCbOAeTxhuSvea/X2t9n6SuydG2+ydPfNqh0ZK7pvRdiVy51lzrL3X7MyV+85d35JnX7RdpPazP5L7nSrJHXfJ96rk3HNK3ufo5zN67d4nr+cm2h4AoIbhJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxw001yC0ejbe6UW0i9F23/bsRC5DMli4eTo/fo3b5E6XtsjhY7A/eaebgp3WeO7t81969o+71om72ze37LQEa0n72WfZbck2vuw7nnZrRNqSv3nbsOJd+baLsjLZ/VXu5aJKXvcfY93dT83Lwr+Y4lR+9Rcny917PkPfaifQAA1DDcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluuklu8Wi0zd1KF7xG274rXeDbski3ZKFzklugXLqf9Lpo+zOl+95reR/gerMON5XcZ0oGNXL3/pJ709k+rrrP1+y39JkUbXskd4zRNqWu3HfuWpR8Z6LtzrR8B9Jx5L6bm5JjTkq/B1d9Z5PcsUbbvEvHV3rOm5rruRftCwCghuEmSZKkebN4QJLWzTNAktbNM0CSJM2S30vWzHDTTXILSKNtZlCy8DXaLlK60DdJr432sUmLcmv2V7owuWahb3r/3GLi9JqjfebeK3cNgHvM/F9uiu4l747uLaXDDtG27872k/4s2iYn2lfk7N58dk9+V3sPTq+P9rOJtil15b7TtYr2uck955JouxLps8hd5/T+ufPfG/257Y0+1pKfhdznszfieuZ+PqJ9AgDUMNwkSZI0bxYPSNK6eQZI0rp5BkiSpFnye8maGW66yZMXi4489ty+Immbveg1Z9I20bFEahYR77UcY+69cguUgXvMPNxUO1hRc89KSu9LZ/tMfxZtk1Nzbr1ajjF3fNE2pa7cd+5ZlP482m4v2m6Tjr3kO5Zesxe9JidtFx1fTsv77Y+1dfvoWCKt+9+LXvMuve7K7xoAQGK4SZIkad4sHpCkdfMMkKR18wyQJEmz5PeSNTPcdJPcwtJom5mcHX/0+jOli2xHSO8VHcOZ1gGnGtti8ejPNmmB8fuxAfebebgpueoeW3M/PTuGlvvy5qpze1cy0PPOcFNse5Zd/dn1fK+ST323kpZj/dT1M9wEAFzNcJMkSdK8WTwgSevmGSBJ6+YZIEmSZsnvJWtmuOkmuUWp0TazOTqH6LU5Vy/STbaFui2uHHDaLxSP/nxjuAnmNPtwU3LFPbZm4Ofs/XvuzcnVz4+a89wz3BTbP8uu+ux6v1Obq79bSc+xfuL6GW4CAK5muEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3HST3ILUaJsZRecRva7EVYt0k9bF6Xu5Bd8t3o8res3GcBPM6QnDTcnIe2ztPfXsvdOfRdvUuOr50fPsMNwUe3+Wjf7sRnyf9q76biU936/N1dfPcBMAcDXDTZIkSfNm8YAkrZtngCStm2eAJEmaJb+XrJnhppvkFqNG28zq/Vyi15RKC31HLtRNi3JHLB7eyy30LfG+eHgTvXbzviAcmMNThpuS3vvX0b0r5+y+3rrPdyPuzZt0TL3PjtzxRNuUunLf6byjfW5Krku03SZ6lo367EY/7zdpv2ff4VrpfEce66jji47pyu8aAEBiuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3HST3CLUaJuZ7c8n+vNavQt1Ry8cfpf23bIYO51T2i7aZxJtsznbDrjPk4abNi3315576tn7pT+LtmnRem/e5O7RNXLHEW1T6sp9p2sY7XNT8j2IttucXd/Wz27UZ5aTzr3lZ2eTjrPn5ygn7b/l+M6OK/eZRNsAANQw3CRJkjRvFg9I0rp5BkjSunkGSJKkWfJ7yZoZbmKYbUFt9Gc90sLa3ILd7TVXLho+kt7z7PjSP09/Hm0LPN8Th5s2270zun9t96477qsj5O7NSfoz9+jxomu9KbnW2+d29NmlP0/u/G5ux3D2/brzOLdjO7uGT/3ZBgC+i+EmSZKkebN4QJLWzTNAktbNM0CSJM2S30vWzHATw6RFsmnBbPRnAN/qycNNcIX3QZq9NFQTbQMAwJoMN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmxjKfwUAWI3hJngVDTVtDDcBALBnuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3watoqGljuAkAgD3DTZIkSfP2X/yn/9e/+l3t7/9v/su/+8//k/9LAL7cf+wf+R97BgAsyjMAAJhF9HuJ4abvz3ATAHQw3ASvoqGmjeEmAAD2DDdJkiTN29/z5//yr35XAwAAAAC4y7/9N/7dP/23l/rWDDcBQAfDTfAqGmraGG4CAGDPcJMkSdK8GW4CAAAAAGZiuOn7M9wEAB0MN8GraKhpY7gJAIA9w02SJEnzZrgJAAAAAJiJ4abvz3ATAHQw3ASvoqGmjeEmAAD2DDdJkiTNm+EmAAAAAGAmhpu+P8NNANDBcBO8ioaaNoabAADYM9wkSZI0b4abAAAAAICZGG76/gw3AUAHw03wKhpq2hhuAgBgz3CTJEnSvBluAgAAAABmYrjp+zPcBAAdDDfBq2ioaWO4CQCAPcNNkiRJ82a4CQAAAACYieGm789wEwB0MNwEr6Khpo3hJgAA9gw3SZIkzZvhJgAAAABgJoabvj/DTQDQwXATvIqGmjaGmwAA2DPcJEmSNG//lX/+f/er39X+C//d//3v/tw/91sAvtzf9Y/9T4NnwL8evhaA7+IZAADM4j8e/F7y7/x7f/NP/+2lvjXDTQDQwXATvIqGmjaGmwAA2DPcJEmSNG//+F/61371u9pf+X/9zd/98b/1OwC+3D/wz3oGAKzKMwAAmEX0e4nhpu/PcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzZYZbvpn/jd/9Xf/1//fvwEAQ/1d/+X/wd96zvy3/n3pf0evAwAA4FX693Xv/w7PcJMkSdIcGW4CWJeF7QDr8gwAAGZhuGnNvnK46ff/8Le/+jIDAAAAAHNL/15PkiRJ92e4CWBdFrYDrMszAACYheGmNTPcBAAAAABMwXCTJEnSHBluAljXNy5s/4t/9Nu/7R/+C3/wu7/7z/7e737zm9/8SvrnSXpNtA+AFXzrcFPJMyD9uWdAme1aRn/2BOkzT9+J6M9m9/RrD1DDcNOaGW4CAAAAAKZguEmSJGmOZh9uSgvR3hcknkmLvzYWLQKc+6aF7el+Hz0XSnleAKv5pmfANtAU3d9zDI8c2/9dLF2npw0JpWPejv9pz/mrrv22z6fw8wnrMNy0ZoabAAAAAIApGG6SJEmao28bbjqTFkZZvA7wi29Y2D7yOZFYRAus4luGm3qHWzf+nvBrT75O0fdi5JDQ1d6PPRlx7aP9ziw6B+A7GW5as68cbvrjv/4nv/oy/9n/+v/qd//gf///AABD/Uf+3D/3t54z/9S/L/3v6HUAAAC8Sv++7v3f4aV/rydJkqT7W2m4ac/idYDnL2xP9/LoHj/CUxY/A7R6+jMg3adHPwf8HeEXZ9c2/dnMz8nc3yFnH9C68tpH+5yVgUNYi+GmNVtmuOn3/5U/Cb/4ANDjz/yjf/nleZP+d/Q6AAAAXqV/X7f/+1RiuEmSJGmOVh1u2lgwBazsqQvbr342bCxyB77Zk4ebrn4O9AyPfIOS6xttN4uz4aBk5r8DXn3to/3NyO9gsB7DTWtmuAkAOhhuAgAAaGO4SZIkad5WH25KLJwCVvXEhe2feC7seUYA38qA67n0PtH7f7uS6zvztckNNs38XP/EtY/2OaNVf/5gZYab1sxwEwB0MNwEAADQxnCTJEnSvBlu+mHxOrCiJy5szy1ajqRtNtGf53hGAN9olQHX/TOg9jmw4oBFdB32Zv6vHqVji455L9puFtHx7o249tF+Z+P3LliT4aY1M9wEAB0MNwEAALQx3CRJkjRvhpt+YREVsJqnLWwvWbS8Sa89W5Se/rxmkfuKC9yB7/bNA64lz4Bou3er/f0gd31nvh4lf2+c+Vn+qWsf7Xs20XED389w05oZbgKADoabAAAA2hhukiRJmrenDzelhYlH2yW1i9dnXrAHMNqTFraXLFpOau/jV+0XYHZPG24q+Z2+9l59xT6fquR5mF4TbTuD3Gc58+f49GtfIzq3vaO/3wPfz3DTmhluAoAOhpsAAADaGG6SJEmat28dboqU/n9o/5aFYwA5T1rYXnIP77l/lyxwt+AW+CbfNuDaOrxScv//9r8flFzfma+BwaZnePLnBFzPcNOaGW4CgA6GmwAAANoYbpIkSZq3lYabkrQ/i6oAfjxlYfunFv56PgAredJwU3RP3uu9P69+/4/OeW/m4d6S4edou1lEx7v3LYPVn/pdDnguw01rZrgJADoYbgIAAGhjuEmSJGneVhtu2kT72ou2Afg2T1nYnlu4PGrRecnC22g7gCf6lgHXUc+A3IDTtwyZvHvyYNfTB2aefO1rrXSuQBvDTWtmuAkAOhhuAgAAaGO4SZIkad5WHW66ar8AT/KUhe25BbEjFy7n3svzAfgWT3kGRPfivVHPgNzfD75x+CJ3zsnIZ+xoTx6Yefq1r5EbUk+i7YC1GG5aM8NNANDBcBMAAEAbw02SJEnztupwU3K2GO4bFy8CvPuWhe3RNj2i99h4PgDf4gnPgCv/LhDJDct804Dr04drcp/VzM/rp1/7WtH57RkcBxLDTWtmuAkAOhhuAgAAaGO4SZIkad5WHm5K20b73ETbAHwTC9tjZwumDTcB3+IJz4DoPrwXbdMrep/NNz0DDAfd58nXvtZK5wr0Mdy0ZoabAKCD4SYAAIA2hpskSZLmbeXhpty+o20AvskTFran+3xa+HrkisXLab/Rc2ETbQPwNLM/A678e8CZFf4fIOSec+nPo+1mkPteJFf8bjDKk699rad/VsBnGW5aM8NNANDBcBMAAEAbw02SJEnztvJwUxLtcxO9HuCbPGG46Q4rLGwHmP0ZkLsXXzkUEb3f5qqhqk95+sCJwaznWGmQC+hnuGnNDDcBQAfDTQAAAG0MN0mSJM2b4aZ4v8k3LSwDiBhuihluAlYw+zMguv9urh6KOBvKePJAxtOHa548LPP0a18r97vUk3+OgGsYblozw00A0MFwEwAAQBvDTZIkSfNmuCneb/JNi8sAIoabYoabgBXM/AzI/R3g6t/Tv/U5YDjoPk++9i2ic9zzd23gneGmNTPcBAAdDDcBAAC0MdwkSZI0b4ab4v0mFlwB385wU+xsUbv/0gDwLWZ+BuSGiz7xe3r0vpvev4PcITdck0TbzSD3d8Jk5s/kyde+xWqDXMAYhpvWzHATAHQw3AQAANDGcJMkSdK8rTzclNt3tA3ANzHcFIueCZsnLmgHiMz8DMgNR0TbjHZ2DE8bzigZDvrEwFirJw/LPP3a1yo532g7AMNNa2a4CQA6GG4CAABoY7hJkiRp3gw3xftNom0Avonhpl/LPRu+aQEysLaZnwHR/XfzqSHT9D7R+2+ibWZUMmwy87PNYNOz5D4vQ+LAEcNNa2a4CQA6GG4CAABoY7hJkiRp3lYebjpbsGjRFbACw02/9i2L2QFyZn0G5H7//9QwyLc8DwwH3efJ175F7mfm284XGMtw05oZbgKADoabAAAA2hhukiRJmreVh5ui/W1mXiQHMIrhple5Z45FucA3MdyUF73/5gn/zxBywyZJtN0souPdm/kzePq1bxGd456/YwNnDDetmeEmAOhguAkAAKCN4SZJkqR5W3W4KbffaJvR0jGk40+L5Y/+v3qnf55eM8tCsLPjne1YgTzDTb/IPRcS9zfgm8z6DEi/T0b34E20zVWi99+k44y2mcXTn2tHfz/apD+PtpvBir9TPPnzAuZguGnNDDcBQAfDTQAAAG0MN0mSJM3bisNNuX1eudAs7Tu38OvMiOGhs/ePFp21HvPsCz4Bw02b3HMhsSgX+DazPgNqf1e90kzHUqPkuZZek6Tf2aPzTP8sueN3+rPrnmzXfjv26PXbsadzfN//lZ5+7VuUnHO0HcCe4aY1M9wEAB0MNwEAALQx3CRJkjRvqw035faXFpFF240QLVxr1bPQ7ew43s9/xDGna77fJzCPlYebtkXF0X0r4l4GfJtZnwHRPXjz6WGPmt+bZ1LyO3zt7/np9Z94Fub+vpbUHnvyqe/Ok699q9z5fPrnFngmw01rZrgJADoYbgIAAGhjuEmSJGneVhluSvspWcR+xaKxkgV6rVqO92zxWfqzktfVuuK6Av1WGW7angFJy73NPQz4Roab8nJ/f4i2uVvJ33l67P++cIXoPUe68pn+9GvfInfOMx4zMCfDTWtmuAkAOhhuAgAAaGO4SZIkad6+dbgpbbctZo+2i1yx0G3kgNCR2uM+O6Zt8dkVx33F9QX6rDLc1HNPc+8CvpXhprzc3yWibe6UnlnRcV7hqX93Sra/84z09GvfKjq+Pb9HAaUMN62Z4SYA6GC4CQAAoI3hJkmSpHl7+nDTKE9enJfUHP/ZcaU/qxkIq3HFIkKgj+GmcxbkAt9sxmdA7nf/T9+XnzTclLt2Vxg5bPbJvzsl6f1GfZ+efu1b5T4zf/8DahhuWjPDTQDQwXATAABAG8NNkiRJ82a46ZqFYbXHnRZ+pePYq13gV7o4r3a/e2nbveg1Z0YtIATGMNwUS6+P9gPwTQw35c12PGdafjcfYcQzM3edrzTiM3zytW9V8plF2wEcMdy0ZoabAKCD4SYAAIA2hpskSZLmzXDTL9LisFELFKP9R0oGq9IxlSyYK13cVrv4ruS61HxO0fbAPQw3xUruewBPZ7gpb7bjOZI7zquV/J3mTO1zerTomEo9/dq3io5l767jAp7LcNOaGW4CgA6GmwAAANoYbpIkSZo3w02/lhbXRcdSqmRxXst7pAVi0b72ShZY1iwerF2wWbLv2n0C1zHcdK7lXg3wFIab8mY7nkjuGCPp7xVpu+j405+1PDdbr0Xte6XXb8f/vq/0z0r+zvSu9Xmf3i/a35mZrn2r3DG2Xk9gbYab1sxwEwB0MNwEAADQxnCTJEnSvBluOtaySKzkeHsWe5XsP9pur3TBXOsiudz+06K9aDvg8ww35f3/2fv/p2u3urDztLryY/8F01VT0z/0T52UsToaTOEXggoxSkkcezhRI4kNplGTECHJJG3J1LQOgpqgAk4aE0Mk6PhlFCKCIhyBBvEIxIAB0sFRQL4oFqkUYGKie846sO5zPfv57Gut6+te116vd9WrSs69ry/72vve130/z/r4WKAL3CrDTWWtnU9kyj3u0lDQJVMGhebcL0vXdyjtf8rvEWnfU67NnNfyyNd+rprXbM61BDDc1GeGmwBgAcNNAAAA8xhukiRJajfDTeOmLswqLXBbY+FZaaFb6ZxrFuEtOc/SazZlUSKwrV6Gm86lz6n0WVTzeZis8dkN0BrDTWWtnc+50vll6T625Fxr75dTf87far9Dtdcoiba/5OjXfq7S+aSvR9sBlBhu6jPDTQCwgOEmAACAeQw3SZIktdvRh5vSIq70mEvS15O0yKp2Ydi5tJ/o3CLR9kPRNnNE+85KC9tqrkO03RTRPoeibYD99TrcNJQ+42s+Fy3WBW5Nq/eA6DM422uAI0v3iOg8sim/J2xhz/tXzbGSaNtI6dpma1zj2mNNeX8d+drPla5PdNyhaDuAGoab+sxwEwAs0PpwU/RLY7b3H/BwO0p/OBFtQx3XFgDoieEmSZKkdruF4aZouzFpm9oFYlm0n3OlP/Obc66XlK7L2CLA0nNfYxGeP/+EYzDc9Kia+8Kan+MA12a4qazln2lrBnbW+Ll+aM17Zc2+xn6nmarmeiXRtueOfu3nio455OckYAnDTX1muAkAFjDcRI9a/sO6o3NtAYCeGG6SJElqtx6Hm4ZKf06X1SxOKy04i7ZZIjpGNrYQsHSea/ydgj//hGMw3HSvmoXD0XYAR2S4qazln2lL51bz+8sca90ro+2G1hxsymqGkmreY0e/9nOUjr3Vcwb6Ybipzww3AcAChpvoUct/WHd0ri0A0BPDTZIkSe3W+3BTVrNQrLTALtom2+LP6cf+jHHseKXnGm0zVel122KxIjCd4ab7lT4jt/g8B7iGVu8BY5/Dew9QjP28nUTb7CU6n6Gtft4u/ZyflO6Vpeu65etcus8n0XZD0TZDLV/7OWqOu9VzBvphuKnPDDcBwAKGm+hRy39Yd3SuLQDQE8NNkiRJ7Wa46VGlhW5ji+z2PM9s7M8Yx8619DyjbaYqXQ+L36ANhpti0edWNvb5CnAkhpvKWjqXoWv87jE0dl2S0vFL20fbrKV07ZJou+zo136O0jGv+b0A3A7DTX1muAkAFjDcRI/Seyd6T2XRNtRxbQGAnhhukiRJajfDTfeKjjEUbZOU/rwvSYu+1hYdJ4vOM5m73RSl1y19PdoO2Jfhptgen5MA19bqPaClv0ePjp+t/XvIFKVrtMfP2tFxs3QfjbbJom2y0rZrWHL9jn7tpyo93yTaDmAqw019ZrgJABYw3ESPSn9QEW1DHdcWAOiJ4SZJkqR2M9x0r9Kf2106Xmm7a4jOMxlbtL/WYrjS67bHoj+gzHDTZdFnV7b2vQfgGgw3jWv559nofIaibdY29jtFEm2TzP19a01LfseMHj8UbbO2udd+jmj/Q36vA9ZiuKnPDDcBwAKGm+hRK39weItcWwCgJ4abJEmS2s1w0/2i42SXhn9KC8yu4dJCs7FzvfT8piq9bhbBQRsMN10WfXZla31WAlxTy/eA6LM322v9S8s/z0bnk+11feaud2hlnUR07GzsGkaPz1q/9lOVfsf18xCwJsNNfWa4CQAWMNxEj1r5g6Vb5NoCAD0x3CRJktRuhpvuV1rENWeba7i04HLsXNdaoNbyYlDgUYabLtvjsxLgmo463LTXZ3Crf5/fys/Zpetzzd9FakTHzy6dx9Gv/RSl55pE2wHMZbipzww3AcAChpvoUat/YHcLXFsAoCeGmyRJktrNcNP95vzZ3dgivWu5tKhtjwWFpddtjQV3wHKGmy7z9zjArWv5HrDHz6sl0bGzLX4HqdXKz9lzz6OF1zaZcx5Hv/ZTjF2f5JrfA8BtMtzUZ4abrqR0oz+XHp+kHwCSvX7oAWCc4SZ6lN470Xsqi7ahjmsLAPTEcJMkSVK7GW66X+nP7qK/v536d8J7uPT3zGPnmr4WbTNV6XXzd+DQBsNNl/l7HODWtXwPuPZn8DV+B6nVys/Zc89jj99Fasw5j6Nf+1ql7789XyegH4ab+sxw05WM/SA0VfrBYa8fggC4l+EmenTtPzS8Za4tANATw02SJEntZrjpfqU/u4v+vnbO4rhr2eNct15wB6zDcNNl/h4HuHWt3wOiz95si98Bhub8PrCXa/x+FJn7835pLW20zRbm/E509GtfK9rn0NL9A0QMN/WZ4aYrKf1ANpcfEgD2ZbiJHpX+0C7ahjquLQDQE8NNkiRJ7Wa46X6lP7uL/p72SH/eN2ch31Sl183fdUMbDDdd5u9xgFvX+j1gj59ZL4mOORRts6fonLItfj+KzL1PtnJ/jY6djV3D6PFZ69e+Rmmt89bfe0C/DDf1meGmKynd8JdI+/YHvwD7MNxEj1r5g6Vb5NoCAD0x3CRJktRuhpvuV/r7XcNNZYab4BiOsLD9kq3//jMdI/r8yqJtAI6k9XtA6efrrX6evMbvH1ON3aPS16Jt1jb3959Wfk+Ijp2NvcZHvvYlpdcmibYDWIPhpj4z3HQlpT/wWMNeP9QB9MxwEz3a6g9FcG0BgL4YbpIkSWo3w033i44zFG3TyiK9GnssyDvS9YCetb6wPfr8yLZeQBwdM9tr8TLAllq/ByTRZ3C21Wdx6e/xW/g5duzn+STaZm3RcbOx39FKvyds8fvduSVrNY587UtKz22P1wbol+GmPjPcdCWlm/5a/AEwwLYMN9GjJX+owzjXFgDoieEmSZKkdjPcdK/S8S4tomxhkV6tsb+/vvT8pipdD3+3DW1ofWF7ab1NtM0ajvSZDjDXEYab9r4PzP1dYG+ltQZb36dKxy/9rB9tMxRts6bomFnpNT76tb+ktN9W3vvA7TLc1GeGm66k9EP2mvwhMMB2DDfRo9IfYETbUMe1BQB6YrhJkiSp3Qw33Ss6xtDY8aLHD0XbLJXOJ5ny98Rjf3+91qK10uvm77WhDUcfblr7HpCl/UbHy3yGAbfgCMNNpc/jtQcuSvedlj7/o/MbirZZS3S8oWibodLrutX9PVnj2NF2Q9E2a4mONxRtUyPa15CffYCtGW7qM8NNV1L6oTfaJv0wkJV+oDrnBwmAbRhuokeln0Oibajj2gIAPTHcJEmS1G6Gmx5V8/eyY38XW9p+zXPN5ux/7O+v11ogWnrd/J02tKH1he2lz9W1F7Unpc+vJNoO4GiOMNyU7DVwdLTP/9J12eIemZSOW/M7Sc213uL3hbVe4yNf+8i1ng/AkOGmPjPcdCWlm3+0TST9cFXaV+KHCYBtGG6iR6W/NIq2oY5rCwD0xHCTJElSuxlu+rSahW5JtG1Ws4/0mGjbOS793XHpGGN/57zW3zWXrsWa1wGY7wgL26PPkKG1/x60tC7H37sCt+Iow02lv1dPou2mivY71OLPr9F5Dq29jrTmtai9Tmvuq1Z0jKEp1yvafqjlaz+Uton2NRRtB7A2w019ZrjpSkp/8BFtM+YaP9gBYLiJPpV+7oi2oY5rCwD0xHCTJElSuxluKv99blbzd7Clfa21yK3mnKPtkrFt1zq/0uvm77OhDUdY2F7zebfWZ8qexwK4tqMMNyWlz+elP8Nuvf+t1Ny31jr3mjWrU343K/2+kK1x3037qLlW0baXHPnaD5Wexxq/bwPUMNzUZ4abrqT0A0C0TUnpBxY/VACsz3ATPSr9zBFtQx3XFgDoieEmSZKkdut1uCntt/RndEO1C9NqFuktXeRW+vvnZOwYY9svPbesdB3S16PtgH0dZWF79Dlybunfhy79bAU4miMNN231M3bab83n/1o/u6b9pPtVtsZ+o/M9t/T+VXONkmjbMbW/jy25TmnbaJ/n5vwcEe3nXKvXPild/6XnDjCF4aY+M9x0JaUfMKJtamy1XwBihpvoUekPM6JtqOPaAgA9MdwkSZLUbr0MN6X9JKU/l7tkyoK62gVoU/aZpMfX7Lu0CG1sH6Vta6VzjfafTX3uwDaOsrC99nM1PW7OZ2u0r4jPLuCWHGm4Kam9F9R+Vtd+/q+13ubS8Zb+/D3lPjb1uUz53WnuPXKre3x67JR9R/soOfq1j/Y1NHe/AHMYbuozw01XUvohKdqmRumHIz9cAKzLcBM9Kv2BSbQNdVxbAKAnhpskSZLa7ejDTXuY8/eu0X4iNYv00p8l1i7MS0r7G9vX3IV950qv25xrCqzvSAvbp3wOpseO/f1o+gwqfU6d8/etwK052nBTUnsvuHQfSJ/9pb+nH9rrZ+Olx5l6Txu7PlOvUbL0Hln7umbpeOk8z/eTz33q/s73M8VRr33pGqWvR9sBbMVwU58ZbrqS0g8C0Ta1ov1lc39wASBmuIkelf7gJNqGOq4tANATw02SJEntZrhpXDp+dF4lc887/d3yUPSYMTXnO7bf9LVom6lKz3/udQXWdaSF7XM/V5Mln6vJWp+NAC054nBTEn1Ob2Wtn1mjfZ+Ltpti7j1uqTXukUvu8Uut8Rof7drXXO9oO4AtGW7qM8NNV1L64SXaptbYvi1kB1iX4SZ6ZABnO64tANATw02SJEntZrjpsqUL3fY+99rzHfs75rkL5M6VnvvSawus42gL2/f+XE3W+lwEaM1Rh5v2uhes9fNq7fmusa6ntAZhbWveI9N1Gvs9ZQtrvcbJka596Tqv8V4EmMpwU58ZbrqS0g8D0Ta1xn4o8kMGwLoMN9Gj0h/ARNtQx7UFAHpiuEmSJKndDDfdb80/U9/r/KcszBv7++sli+SGSs97zYWEwHxHXNiePj9K63DW4u9YgVt21OGmZOufsdf8WbX2XNe652x9bbKt7pF73OPTMdZ8jbMjXPu0bbTPbK3fBwGmMtzUZ4abrqT0A1e0Ta2xHzb8oAGwLsNN9Kj0BxvRNtRxbQGAnhhukiRJajfDTY9Kf2Z3tEVuc/5OeOzvr9f6O+bSc97iOgPTHXlhe2ktzlI+p4Bbd+R7QLb2vWCtn4XPRcc6t/Z9Z8v75Nb3yNLvEkts9RoPtXztS+tU/PwDXIvhpj4z3HQlpR9Wom1qjf2wsccPYgA9MdxEjwzgbMe1BQB6YrhJkiSp3Xofbkp/TrfXn6GX/kxwivR3wXPPe+zvr9f6O+bS62bRHLTh6Avb02dJaU3OVHvdEwCu7RaGm5K1fsbe8vO/5l4VbbfU2vfJve+Ra722SboOe/4O0vK1v3Ru6b9FjwfYg+GmPjPcdCWlH1KibWqN/QDnhw2AdRluokelPyyKtqGOawsA9MRwkyRJUrv1NNyU/v40/blcsufCtnOlPxsck59DtN9aY39/vdbfMZdet2tef+BRt7Kw/dIi3Sl8LgG9uZV7QDb3Z+y9fjcYu09tffyl98mlv38stfT3p2ve41u+9unchseKHgOwF8NNfWa46UpKP5xE29Qa2/e1f6gEuDWGm+hR6Q+Jom2o49oCAD0x3CRJktRurQ833bK0mCz9OeHYnxWmvw/Oj4n2AbDErS1sT/Jna/r8jNbU5P+eHnPNxc4A13aL94Ak/+w8dh+41j0gn1c+l2ucx5Tr09p9Mp3P8Pyjcx+ef7SPaxqe+6Xzz+e+5/nn84q+BrAXw019ZrjpSqIfRIaibWqN7dsPHADrMtxEj9J7J3pPZdE21HFtAYCeGG6SJElqN8NNAP261YXtAJS5BwAArTDc1GeGm65ky+GmaH9Z9HgA5jPcRI8M4GzHtQUAemK4SZIkqd0MNwH0y8J2gH65BwAArTDc1GeGm65kq+GmsQWx6ZjRNgDMZ7iJvaTXq5V/ItsAznZcWwCgJ4abJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa46Uq2Gm4a2+8ei9jTout0nHQel84l/ffWFmhfOt/WzhVoz60PNw0/18+3z5+dNfvZWjqHfJ7RuebzTY856md6K9c6SecRXeMs2maJ9JqNvReT/Npf4xrlc7t0XfJ51ZzbpX1k0TYAAEdluEmSJKndDDcB9MvCdoB+uQcAAK0w3NRnhpuu5NLC3CzapmRsn+lr0TZrSAt6S89nTFrEu3Sh+dTnPvecaxYlA3251eGm0oBFJH2u7vk5ea37T7SvoS2uQTrPvP/o60uVruP5vbT0/hg+dok578Nsj/fj8HWZYuy89rq2AAAtMNwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNV1JaRBxtM6a0vzmLt2uUjjvFkgXIY+eRvlb72FpbXU/geG5tuGnusMa5LT8n077XvP8kU863NHySRNstMXy+S+6XlwzPPXJ+fbYewFnrfZika7f2+3Gt92B0XltfWwCAlhhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhpispLYiNtomkBbClfaWvR9suseai43NzFiCPXYPh8y9dqynWXigNHNMtDTet+RmZbHH/Wfsch6acb7T90Nr3iPP9R4+Zq3RNo+uy5QDOVq/xlNd3TOm5T3V+XoabAICeGG6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmKykt3I22SdJi6ZqBpmythbxDtcdeYuqi8LFzytdgi/M24ATcynDTVp/t+TN4qfR5G+1/CzWf7TUDLtF2c0THWvP+c77vc9GxthjA2eM1Xvp+3OP7ZItrCwDQKsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcdCVbLY4dWmtB+dAe551NWbg9dl7pazWL0OfY4hoDx3ILw01bf7Yv/azcY+jlXM09KNpuaMp9bEy077XuP6X746XjrD2As+drPPfa7fV9YrgJAOiJ4SZJkqR2M9wE0C8L2wH65R4AALTCcFOfGW66kj0WyK61qDqbuvA4nUNaoDs09XnXPocl1zNtOxQ9Zsza1xk4lqMPNyXR14bOPyfnfFambaLzK9lz6OVc6fO9dO3mPuehsWOscf+J9jt06Ril5x5tM2bqeyq/d7Op78upr03p+V6Sz6v2/PLzib6WRecHAHBUhpskSZLazXATQL8sbAfol3sAANAKw019ZrjpSmoWuK4lLZKNzmGqaN+RmuOlxdI11yA9Jtr+3NTrmR5fWhSevh5tG4m2B/pw5OGmsc/O9Fle+pxMj5ny+Vv7mZ5N+RxO0v4vnXf6b+lr0XZjStcg2maotH1J6TWKtqlVuh5jr1dp22ibS2pfl3Q+Ndezdn+1r016XLR9pOYc0/mNva5jX0uifQIAHJXhJkmSpHYz3ATQLwvbAfrlHgAAtMJwU58ZbrqS0sLVLSxZYF1zvukx0bZjahYg15z3lOs59TrU7HvJtQWO7cjDTZH0mTfnM632c3jKvmv3OfWc02Nr951E+8hK97H09Wi7Guk8o30ORdvVKl2DsWtaet7RNpGa55hMeX2Tmtc4fT3a9ly0bWTqOSZT3odZtB8AgKMy3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw01XMmcx6xpqF/IO1Sw8nrPfrGb/0XZDtddzzsLjpLT/JYvXgWO7peGmJZ/lSc1nce0xtv5cT2ruP0npMz7aZmire08y9/5TGk4qvU5rDTfVPMclr3Fp/6XrV3qeSelaldRcg6FoHwAAR2W4SZIkqd0MNwH0y8J2gH65BwAArTDc1GeGm65k6kLWNU1dhFs616WLepPS4uHSwuaa67nkPEsL4EuLo4HbdSvDTWt8lic1n8elz8zaoaMlQy/ZGscq3cPm3iOifUWibUtKr1Pp2paec7TNuZprv8ZrHO03K73vo22G9vy+yaLtAQCOynCTJElSuxluAuiXhe0A/XIPAABaYbipzww3XUnNouIxaVFxMmUx7NCUxbjR9kPRNnNE+85KC8NrrkO03RTRPoeibYDbdwvDTVPuCTVKn8ml49V8pqd7YbTtHGlf0TGGSuccbTMUbTOmNDw0NPValJ5vzfthjeGm0j5K9/5ac8+15jWItpur5n2fRNsCAByV4SZJkqR2M9wE0C8L2wH65R4AALTCcFOfGW66ktIC1mibMXngKdrXJTWLhkv7rNlHrdJi67HF26XrWbNQu6R0LaJtgNt3C8NNU4djakTHGYq2yaLHD21xvqV7UDJ23LXvl9E+Lpl6jyvdM2vOdY17YrTdULTNXGPP+dL1ix47dI3vmyTaDgDgqAw3SZIktZvhJoB+WdgO0C/3AACgFYab+sxw05WUFhZH29RKi21L+89KC3O3PM9IdIxs7FxL5zl1UXlkjYXcwO05+nDTGp+PkdJn5qXjlra7NIiyhiX3knSPirYZiraLlK5BpHbQpnSetde3dI7RNkOl8xi71nOMnW/0nNe6TlOV3oNJtB0AwFEZbpIkSWo3w00A/bKwHaBf7gEAQCsMN/WZ4aYrKS1ejbaZqmahdWlxbrRNtvbC42Rs8fHY8Vq4nunr0XbAbTv6cNOWn13R8bJL9589Ps8vqblvRttlY/ewpPZal65BpPaeXNp37X5KzzXaZmjp9nNEx8nOH7vWazlHdLyhaBsAgKMy3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw01Xstfi7ZqF2pcW6Ja2rV0APcXYYuJLC+GTPa5n6XpsudAZaNfRh5uibdYy57M5elw2dh9Yy5KhltJ9Iom2Gxrbxxr3umi7bMr1XTqctMd9+1x0nOz8db3G+WXXPDYAwN4MN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOV7LlwtbQA+dKQUmm7JD2PtUXHyaLzTOZuN0Vp0frYgnfgdh15uOnS5/9apg7AzL1frWnpZ33pOZS2H7ufpW3Hzm/JvpMp13fqa3su2mYo/0ywpug42flzjx6TpX0NH7u2pdcWAOBIDDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHDTlZQW2UbbLBEdYyjaprS49hqi80zGrudai5DHFpQnpUXlwG068nDT1p9bUz83WxnqiI6dnQ/BnCs959I9KdomGW4XfT0b7utc9Phs6r1y6WsVbXNN569r9Jis9B5YqpXvAwCAPRhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhpisZG8ZJom2WKC2UjRa4l87xGi4txB8716kLti+Zukgf6IPhpnHRcbPzIZG9742XRMfOagZb5txzS9sNjzv2uDn7Tob7r1HaX7RNVrqfXsPwZ4XS+W39fVM6frQNAMBRGW6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmK9l7AXdpoWy0qLl0jtdwaUHx2LkOFywvce3FzkCbjjzcFD1+bdFxs/N7zx6f5TWWnkfpfnFpH9Fjs+HjxvZ/aUgpemw259oabrr/ea0pOm4WPR4A4KgMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOVjC2cTqJtloqOkxluKmthsTPQHsNN46LjZrc63JSUhn/O7xljj4/u0WOPn7LvJNp/SWmf0TZZ6X56DcPXtYX7fXTcLHo8AMBRGW6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmKxlbOJ1E2ywVHSeLFmuXzvEaLi0oHjvX6LnN0cJiZ6A9hpvGRcfNzodq9vgsr7HGeZTuGVOe+/Bx2dj+97iuhpvuf15rio6bRY8HADgqw02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9x0JWMLjZNom6Wi42TR4uYtFkNvZY9zbWGxM9CeIw83bf25NfVzc8nAzJqiY2dT7iml55Of/9h1Gjte9PgsP6Z0DueDULW2HG46f19cQ3Re2dxrVqt0faJtAACOynCTJElSuxluAuiXhe0A/XIPAABaYbipzww3XcnYME4SbbNUdJwsWjy9ZOHy3sau55SF6GOOsBgb2N+Rh5uuPaRx/rnZyn0nOnY25ZqVnn/e19g97HyfQ2P7z9d2q/vj0tcq2ibb+n1ZIzqvbOvzK71vom0AAI7KcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDddydhi4yTaZonSQtlogfPShct72mrx9lDpGuaF5EBfDDddVrqPnH9utvA5Wzrnqdes5l4a/fek5v4VbZeVrueS17/meY2JtsmWnNda9vi54pKl1xYA4EgMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOVjC2aTaJtligtlI0WErewyLzWHouQj3Q9gP0cebhp6yGNqfe6LYdxaq19fy49pzE1z3fs/r7lvbH0c0W0zdCW57aGtd8HU0THG4q2AQA4KsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcdCV7L5otHS8azGlhkXmtPRZJl65HdA2B23fk4aYk2mYNc+8h0WOHtv6sjY6Zzb2flAaBIlOOFW1fsvQevuVwUxJts6fS81t6/S4pfd8k0XYAAEdluEmSJKndDDcB9MvCdoB+uQcAAK0w3NRnhpuuZM9FvTWLqqPtkuixQ9E2S6XzTaYsYB+7nnMXo58rLTjeesE90KajDzet9Rl5bu5wSGm7rc43Kd2bL51zSc3Ayrkpxypds3NrXMPSMaNthkrbz73WJem51+47Oq/sWt83SbQdAMBRGW6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmKyktoI62mSva/9DYAt1rLD6es/+x67nWAmTDTUDk6MNNydqfXzXDPJeOuWTbJWqOG21Xq2ZoZSjaxyU15z60xr279Hyibc5F2w1F2ywxPOf0s0HpfVT6WW3t92Ht6xhtCwBwVIabJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa46UpKC2ajbeYoHScZW+Rcs9B2zcW9l853yQLk9LVom6lK12LN6wAcxy0MN631OZmV7j2l4ZrS9sman7mlz/dk6TWqOUY2Z/io5pola73Waww3lc55rXNNLl3/sWOUnmMSbTdX7WsYbQsAcFSGmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muOlKSgtYo22mqF1EXbNwuHSuNfuoUbOoN9ouGdt2rfMrXdP09Wg74LbdwnBTsudneenzsvYetsbn7p7HqhmWSaJtS2qfx5zBqcgaw00157zXa3zpukSPHdrz+yaLtgcAOCrDTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3HQlpUWs0TY10uLcKQtkaxYN1ywKXrq4t+acx44xtv3Sc8tK12GNBdjA8dzKcFOy9POyZnin9hg1+0qWfPbWHmOv+0iy5FjR/s5F281RunbRNpH0fKPth5a8xjXXPLl0jJrzW/r+qDnGULQPAICjMtwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNV1JayBptE0mLcacONGVTFuPW7n/qAuT0+Jp9l851bB9TnueY0gLpqc8duA23NNyUzPnMrP0sT6Z8VkbbR9Kxp+x3yvmudQ/JSsddci8pDRylr0fbzbHWcFN6vtH25+a8DqVzzErXPNrm3NT3YDLlfTgU7QsA4KgMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOVzFnMuqY5i4Sj/URqFvhOHcgq7W9sX3OeaySdQ7T/bOqiZuA23NpwU5Y+O0vDMOlzr3aAJCnt71zpczeSjhF9HudznXLvSdb+bB97Tmvcr6L9ZtHj5yq97tE2l6z5Hsqvc7RtpOaaj71m59b4vim9R6N9AgAcleEmSZKkdjPcBNAvC9sB+uUeAAC0wnBTnxluupKpi6vXNHfx9JTFvUPpeEPRY8ak40bnMzS23/S1aJupSs+/5jyB23Pk4aY0YFHzuZw/v7PoMSVpu+j8Subee9aw1ef6pWtYGoqpcWloZo19D40N5yTRNmPmvK/y+zGLHjMmbROdS2Tu/oeix5xLj1v72gIAtMxwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MN11J7SLXtaXjRudTa+9F5rULy8eu59LnnJWe+1aL4IG2HX24KT1m63vS0e49yZaf6dHz2fpeFT12iS0GcLZ+Hw7Nud57fZ8YbgIAemK4SZIkqd0MNwH0y8J2gH65BwAArTDc1GeGm65kzwW8STreWgu191pkPuV8x65nXiy8VOl5r3V9gWO5heGmZKv70l6fwWva4/P8/HoPX4ulzodj1tx3ttUAzlbvw6El78k9vk+2urYAAC0y3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw01Xssfi3SQdZ4tFzVsuMp+z6Hjses7ZX8RwExC5leGmZO1701qfv0Nrn+PQFud7yfk9JXrMXFvuO9tyAGfL13iNe/XW3yeGmwCAnhhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhpivZenF2Whi7x7BNaQHuFPm8o+OUjF3P80XDc50vFj+3x/UG2nNLw03JWp/rW34mlj6Pp0r3iWt8hud711r3qaH83ObeV0tK75NomynS6zF2b58qne+ar/Fa5xed09bXFgCgJYabJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa46UrWWrCb9pOkhbBbLWCuUVqIOyaff7TfWmPXM30t2maqtAA52n+25qJp4Dhubbgpm/u5vue9KH3uLr3/XPOzO99Xoq8tteW+k9J1j7aZIz2PsXt8STrPLV/jtP855zd2XntdWwCAFhhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhJlaVFuqmRbljC3PTIuD8mGgfAEfS+nDTUumzOn1uXxrgyJ/nWw6Q1Mj3n0vnmZ9DPt9oH9eQzin672to6XmuIb92l17jJD/mGu/HfG6Xzu9a5wUA0DLDTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQAC9z6cBMAAMBWDDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmwAAAOYx3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw00AsIDhJgAAgHkMN0mSJLXb337JL933s9oDP/DG09e/+H8H4Mb993/jnwf3gDeEjwXgtrgHAACtiH4uMdx0+xluAoAFDDcBAADMY7hJkiSp3T7vmff+2TcAAAAAwDV99OOf/MyfXupWM9wEAAsYbgIAAJjHcJMkSVK7GW4CAAAAAFpiuOn2M9wEAAsYbgIAAJjHcJMkSVK7GW4CAAAAAFpiuOn2M9wEAAsYbgIAAJjHcJMkSVK7GW4CAAAAAFpiuOn2M9wEAAsYbgIAAJjHcJMkSVK7PfufvO6+n9X+3XsePH3o//cGAG7cM/7hS90DADrlHgAAtCL6ueQTf/CHn/nTS91qhpsAYAHDTQAAAPMYbpIkSWq3aLjpEx958+n08bcCcOOe/eKXuQcAdMo9AABoRfhzieGmm89wEwAsYLgJAABgHsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcBAALGG4CAACYx3CTJElSuxluAujXrS5s/+OPveX0iV//mdNHXvlDp9980XNO//rv//XTO/7mU08PPf0pp7d87Ved3vTkJ5wefOIXnV77hY85vfpz//Qj0v+d/lv6WnpMemzaJm2b9pH2lfaZ9h0dE+BoDDcBAK0w3NRnhpsAYAHDTQAAAPMYbpIkSWo3w00A/bqFhe1/+NuvO33kFS8+vfu7vu30tmd83ekNX/n408//6T+5qXSMdKx0zHTsdA7RuQG0zHATANAKw019ZrgJABYw3AQAADCP4SZJkqR2M9wE0K8jLmz/Lx9+w+l3X/2S03ue+6zTmx94Ujh8dA3pXNI5pXNL5xidO0BLDDcBAK0w3NRnhpsAYAHDTQAAAPMYbpIkSWo3w00A/TrKwvb/+L5fPP3WD3/n6Ve+/snhYFGL0rmmc07nHj0ngGsz3AQAtMJwU58ZbgKABQw3AQAAzGO4SZIkqd0MNwH0q/WF7R/+6R88vf1b/0o4PHQk6Tl86Kd+IHyOANdiuAkAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLoV4sL23//wZee3vXt33J67Rd8XjgodGTpOaXnlp5j9NwB9mS4CQBoheGmPjPcBAALGG4CAACYx3CTJElSuxluAuhXSwvbf+8XXnJ66GkPhENBt+ihpz3l9LuveUl4LQD2YLgJAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6FcLC9s/+sofOr31qV8dDgD1ID33dA2iawOwJcNNAEArDDf1meEmAFjAcBMAAMA8hpskSZLazXATQL+uubD9Qz/1/ae3/OUnhQM/PXrLA0965JpE1wpgC4abAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5dY2H7v/+VHz899PSnhAM+/MlHrk26RtG1A1iT4SYAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgX3subP/j33vz6T3PfVY40MP90rVK1yy6lgBrMNwEALTCcFOfGW4CgAUMNwEAAMxjuEmSJKndDDcB9Guvhe2/8xMvOD34xC8Kh3i4LF2zdO2iawqwlOEmAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF9bL2z/1HtfdXrbN39dOLhDvXQN07WMrjHAXIabAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5tubD9I6948emXvvjzw2Edpnvd4z7/kWsaXWuAOQw3AQCtMNzUZ4abAGABw00AAADzGG6SJElqN8NNAP3aamH7v/2evxcO6Ozp1X/ms09vevITTm//G99weu93/53TB1/+faffe80Pnz7+pped/sPbf/r0yX/zc6f/9FuvPf3RR9/0iPR/f+rdrzr9h7f99COPSY9N26Rt0z7e+FVf9sg+o2PtKV3b6JoDTGW4CQBoheGmPjPcBAALGG4CAACYx3CTJElSuxluAujX2gvbP/WeV50eevpTwqGcrf3yVzz+9K7/5ZtPv/MTLzh94p2vCM9vDWnf6RjpWOmY0blsLV3jdK2j8wOoZbgJAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6NeaC9s//LMvOr32Cx8TDuNs4TWf+zmnX3/2004feNn3nj75rleG57SHdOx0Dulc0jlF57qFX/qiz3/kmkfnBFDDcBMA0ArDTX1muAkAFjDcBAAAMI/hJkmSpHYz3ATQr7UWtr//pc8PB3C28NDTHjh98OXfe/qjj74pPJdrSueUzi2dY3TuW0jXPjoXgBLDTQBAKww39ZnhJgBYwHATAADAPIabJEmS2s1wE0C/1ljY/r4Xfkc4dLOmX/6Kxz98nOecPvXunwvPoUXpXNM5p3OPntOa0nGicwAYY7gJAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6NfShe3vfd6zw2GbtbzpLz3x9IGXfU947CNJzyE9l+g5riW9FtGxAS4x3AQAtMJwU58ZbgKABQw3AQAAzGO4SZIkqd0MNwH0a8nC9nd9+zPCIZs1vPmBJ50+9JPfHx73yNJzSs8tes5rSK9JdFyAiOEmAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF9zF7a/4289NRyuWer1X/oFpw/+2PeFx7wl6Tmm5xpdg6XSaxMdE+Cc4SYAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgX3MWtm/1Lza9+7v+9umPPvqm8Ji3KD3X9Jyja7GUf8EJqGG4CQBoheGmPjPcBAALGG4CAACYx3CTJElSuxluAujX1IXt733es8NhmiV+9a99zenjb355eLwepOeerkF0bZZIr1V0PIDMcBMA0ArDTX1muAkAFjDcBAAAMI/hJkmSpHYz3ATQrykL29/3wueEQzRLvO+F3xEeq0fpWkTXaAnXFxhjuAkAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLoV+3C9ve/9Pnh8MxcD/6Fx50+9tp/et9xepeuSbo20TWbK7120bEADDcBAK0w3NRnhpsAYAHDTQAAAPMYbpIkSWo3w00A/apZ2P7hn31RODQz1zue+VdP//kDr7/nGDwqXZt0jaJrN1d6DaNjAX0z3AQAtMJwU58ZbgKABQw3AQAAzGO4SZIkqd0MNwH0q7Sw/Q/e86rTa7/wMeHAzBy/9k0P3HN8Lnvo4WsVXcM50mv4qYdfy+g4QL8MNwEArTDc1GeGmwBgAcNNAAAA8xhukiRJajfDTQD9Ki1sf+jpTwmHZeb4wI8+/55jU/b+f/688FrOkV7L6BhAvww3AQCtMNzUZ4abAGABw00AAADzGG6SJElqN8NNAP0aW9j+3uf/3XBIZqpXf86fOn3kZ19037Gpk65duobRtZ3q337P3wuPAfTJcBMA0ArDTX1muAkAFjDcBAAAMI/hJkmSpHYz3ATQr0sL2z/yiheHwzFTvfYL/+zpY7/0I+Gxqff7D1/DdC2jazxVem2jYwD9MdwEALTCcFOfGW4CgAUMNwEAAMxjuEmSJKndDDcB9CtaQPaxd/7L0y998eeHgzFTpGGcD/3kC8LjMl26lmsMOKXX9lPvfVV4DKAvhpsAgFYYbuozw00AsIDhJgAAgHkMN0mSJLWb4SaAfkULyH71f/7acChmild/zp965F8bio7JfOlfwUrXNrrmU7ztm78u3D/QF8NNAEArDDf1meEmAFjAcBMAAMA8hpskSZLazXATQL/OF5A97nHfFA7DTPWRn31ReDyWS9c2uuZT/c5P+Fe1oHeGmwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+DReQ/Ym/+J2nH/kf/mw4CDPF+//588JjsZ4P/Ojzw2s/xYNP/KLTH/+e+z30zHATANAKw019ZrgJABYw3AQAADCP4SZJkqR2M9wE0K/hArJvfOz/GA7BTPHQNz0QHof1/drD1zp6DaZ4z3OfFe4b6IPhJgCgFYab+qyb4aa//iO/dvrBN34UAFb1f/7G/+30WV/+8L3mM9L/jh4HAADAvdKf153/GZ7hJkmSpDYy3ATQr7yA7L/7smeFwy9TvOOZfzU8Btv5Vw9f8+i1mOLf/8qPh/sGbp/hJgCgFYab+uwmh5u+42VvvO/NDAAAAAC0Lf25niRJkq7fLQw3PeHxjwn/e2ve+PP/+PTdz/mW8GsA15AXkP2vj/mycPCl1oN/4XGn//yB14fHYDt/+P7Xnx788seFr0mth57+lHDfwO0z3AQAtMJwU58ZbgIAAAAAmmC4SZIkqY1uYbjpsz7rs8L/3po02GS4CWhJWkD2xX/+m8Khlyk+9tp/Gu6f7aVrH70mU3zop74/3Ddw2ww3AQCtMNzUZ4abAAAAAIAmGG6SJElqo6MPN6V/DSkNNx1haCid51H+lSmgD2kB2T/83C8OB15qve+F3xHuey/5PjBHtL8j+s0XPid8bWq95S8/KdwvcNtuYbjJPQAAboPhpj4z3AQAAAAANMFwkyRJUhsdfbgpDTWlxYmtDw0NF15GXwe4huf93e8Ih11q/epf+5pwv3vKn61zRPs7qvRaRK9RrY++8ofC/QK36xaGm6LP9lrR/gCA6zDc1Gc3Odz0L3/13933Zv7af/hjp//HT74KAFb133zDP3r4PvNdd9L/jh4HAADAvdKf153/GV76cz1JkiRdv1sZbkpa/tebLKQEWvQvvvzLw0GXWh9/88vD/e5leA+YI9rnUaXXInqNar31qV8d7he4XUcfbnIPAIDbYbipz7oZbvqh17/+9J6P/xsAWNWf+tYX33O/Sf87ehwAAAD3Sn9eN/x9KjHcJEmS1EZHH24aLlBs9V9vGv6rTUnLQ1hAP373NS8Jh1xqvfu7/na4372cf7bOEe33yN79nc8MX6tav/cLLwn3C9ymIw83uQcAwG0x3NRnhpsAYAHDTQAAAPMYbpIkSWq3WxpuStJCx+hx15SGrobnaLgJaMFDT3tKOOBS4/Vf+gWnP/rom8L97uX8s3WOaL9Hll6T9NpEr1mNh572QLhf4DYdebjJPQAAbovhpj4z3AQACxhuAgAAmMdwkyRJUrsdebgp+v/Y3tq/3nSEcwT68/sPvjQcbqn1wR/7vnC/e1njX+xIon0fXXptotesVnpvRPsFbs9Rh5vcAwDg9hhu6jPDTQCwgOEmAACAeQw3SZIktduRh5vSv4DU+kLFI5wj0J93ffu3hIMtNd78wJPCfe5lrUXtSbT/W/CWh1+j6LWrkd4b0T6B23PE4Sb3AAC4TYab+sxwEwAsYLgJAABgHsNNkiRJ7XaLw03pv0ePv4bo/JLosQB7ee0XfF442FLjQz/5/eE+W3TpPpFF29yC3/mJF4SvXY303oj2Cdyeo/7LTbV6vQcAwBEZbuozw00AsIDhJgAAgHkMN0mSJLXbkYebokWKWfT4vY0tqGxpAAvoy4d+6gfCoZYab/pLTwz32aqeF7a/8clPCF/DGh/+6R8M9wncFsNN8XYAwP4MN/WZ4SYAWMBwEwAAwDyGmyRJktrtVoebWhgeis4r63246QmPf8xFb/z5fxxuMybaTzZnf3DL3v6tfyUcaKnxgZd9T7jPVvW8sD29VtFrWCO9R6J9ArfFcFO8HQCwP8NNfWa4CQAWMNwEAAAwj+EmSZKkdjvqcFMaWIkWKWZpqCXabi+tn9+1pecfXZdkzrVZe39wq/7j+34xHGap8ctf8fhwny3rfWF7es2i17JGeq9E+wRuh+GmeDsAYH+Gm/rMcBMALGC4CQAAYB7DTZIkSe121OGm0mLF5Jr/Ys/YsE0WbdcLw01wHb/1w98ZDrLUeN8LnxPus2W9L2xPr1n0WtZI75Von8DtMNwUbwcA7M9wU58ZbgKABQw3AQAAzGO4SZIkqd1uebjpWkMtpX+1KYu27YXhJriOX/n6J4eDLDU+9e6fC/fZst4XtqfXLHota6T3SrRP4HYYboq3AwD2Z7ipzww3AcAChpsAAADmMdwkSZLUbkcdbooWKEaibbdWM3iVXPNflro2w02wv//y4TeEQyw1HnraA+E+W2dh+1sfee2i17RGes9E+wRug+GmeDsAYH+Gm/rMcBMALGC4CQAAYB7DTZIkSe1268NNew+21P6rTUlacBntoweGm2B/v/vql4QDLDU++PLvDffZOgvb3/rIaxe9pjXSeybaJ3AbDDfF2wEA+zPc1GeGmwBgAcNNAAAA8xhukiRJarcjDjdNGSBKon1spbSIcqjnoRvDTbC/9zz3WeEAS8lrPvdzTn/00TeF+2ydhe1vfeS1S69h9NqWpPdMtE/gNhhuircDAPZnuKnPDDcBwAKGmwAAAOYx3CRJktRuPQw3pYWN0X62EB3/EsNN610Xw01Q9uYHnhQOsJT8+rOfFu7vCCxs/7T0GkavbUl6z0T7A26D4aZ4OwBgf4ab+sxwEwAsYLgJAABgHsNNkiRJ7XbE4abSQsVzew23TB26SqL99MBwE+zrD3/7deHwSo0Pvux7w30egYXtn/aBh1/D6LWtkd470T6B4zPcFG8HAOzPcFOfGW4CgAUMNwEAAMxjuEmSJKndjjjcNDbIckla3Bjta03RcUvSQFS0r1tnuAn29ZFXvDgcXKnxyd94ZbjPI7Cw/dM++a5Xhq9tjfTeifYJHJ/hpng7AGB/hpv6zHATACxguAkAAGAew02SJEntdsThpmhxYsnWAy5z/tWmZI+hqxYZboJ9vfu7vi0cXCl5w1c8PtzfUVjY/qj0WkavcUl670T7A47PcFO8HQCwP8NNfWa4CQAWMNwEAAAwj+EmSZKkdjvacNPcIaIk2t9aSosnL+l18MZwE+zrbc/4unBwpeSd/+AZ4f6OwsL2R6XXMnqNS9J7J9ofcHyGm+LtAID9GW7qM8NNALCA4SYAAIB5DDdJkiS1W0/DTVsNuZTOyeDN/da+Jq4xjHvDV877V3s+9BMvCPd3FBa2P+p3Hn4to9e4JL13ov0Bx2e4Kd4OANif4aY+M9wEAAsYbgIAAJjHcJMkSVK7HW24aWyRYhpiGRtySaJ9LlWzcDL679n5/nqw9jDS2vuDW/LHH3tLOLRS4xPvfEW4z6OwsP1R6bWMXuMa6T0U7RM4NsNN8XYAwP4MN/WZ4SYAWMBwEwAAwDyGmyRJktrtaMNNY0MsaQFjekz0tSw/Zk3RcbKac0r/8tP5PteUziG5dO3y17c+j6G1h5HW3h/ckk/8+s+EAyslr/kznx3u70jSZ1v0uZBF29yy9JpGr3VJeg9F+wOOzXBTvB0AsD/DTX1muAkAFjDcBAAAMI/hJkmSpHY72nBTtDAxy8M5Y4Muyfk+lygtmqw5p7SP8/2uoXRukXSeY0NO0TbZ2PMovSZTbLE/uGUfeeUPhQMrJW/8qieE+zsSC9vvlV7T6LUuSe+haH/AsRluircDAPZnuKnPDDcBwAKGmwAAAOYx3CRJktRuRxpuSkM30cLELA/llB635jBRtP9seJyxYZz0teE+lyot5Kxx6Zyix2Zj19VwE1zPb77oOeHASsnb/8Y3hPs7Egvb75Ve0+i1LknvoWh/wLEZboq3AwD2Z7ipzww3AcAChpsAAADmMdwkSZLUbrc03DR87B7DRLXDVsnY4so1z2fNoZ9k+ByS6DGZ4SZo07/++389HFgpee93/51wf0diYfu90msavdYl6T0U7Q84NsNN8XYAwP4MN/WZ4SYAWMBwEwAAwDyGmyRJktrtSMNNUxYolh57PrQzx9iAzfnAUmkQavjYOUr7X2J4raKvZ4aboE3v+JtPDQdWSj748u8L93ckFrbfK72m0Wtdkt5D0f6AYzPcFG8HAOzPcFOfGW4CgAUMNwEAAMxjuEmSJLVYtHgXAAAAAABa8H/80Is+86fZt5fhJgBYwHATAADAPIabJElSi0V/WQwAAAAAAC0w3HSwDDcBsBfDTQAAAPMYbpIkSS0W/WUxANyczw7+G336nOC/1fAeAgAAuArDTQfLcBMAezHcBAAAMI/hJkmS1GLRXxYDANyqVwX/DQAAgHYZbjpYhpsA2IvhJgAAgHkMN0mSpBaL/rIYAAAAAABaYLjpYBluAmAvhpsAAADmMdwkSZJaLPrLYgC4Nf61HpbyHgIAALgOw00Hy3ATAHsx3AQAADCP4SZJktRi0V8WA8CtMZjCUt5DAAAA12G46WAZbuKoPuuzPuuiZz3n28JtgOsy3ATreOzjHxve/5L0tWgb6Fn0vZK18HNjOofo3LJoG6gRvZ8yvzMtE13TzLVlK4abJElSi0V/WQwAfMZnB/8NAAAA2I3hpoNluImjihaRZRaTQZsMN8E6DDfBNNH3Sma4iVsWvZ8yvzMtE13TzLVlK4abJElSi0V/WQwAZP998N8AAACAvRhuOliGmziqaBFZZjEZtMlwE6zDcBNME32vZIabuGXR+ynzO9My0TXNXFu2YrhJkiS1WPSXxQBwc/wLTCzlPQQAAHAVhpsOluEmjipaRJZZTAZtMtwE6zDcBNNE3yuZ4SZuWfR+yvzOtEx0TTPXlq0YbpIkSS0W/WUxAPBprwr+GwAAALAfw00Hy3ATRxUtIsssJoM2GW6CdRhugmmi75XMcBO3LHo/ZX5nWia6pplry1YMN0mSpBaL/rIYAAAAAABaYLjpYBlu4qiiRWSZxWTQJsNNsA7DTTBN9L2SGW7ilkXvp8zvTMtE1zRzbdmK4SZJktRi0V8WAwAAAABACww3HawjDDdZGEQkWkSWec9Amww3wToMN8E00fdK1sLPjekconPLom2gRvR+yvzOtEx0TTPXlq0YbpIkSS0W/WUxANyaVwX/DabwHgIAALgOw00H6wjDTWmRroW6nIsWkWUWk0GbDDfBOgw3wTTR90pmuIlbFr2fMr8zLRNd08y1ZSuGmyRJktrt2f/kdff9rPaJj7z5dPr4W5vw3c/5lvD3l+yNP/+Pw+3GPOHxjwn3laSvDR+b9h89Llv7+Em0TTbl3Lcw9nqkr0XbRNZ+Hte+LtCy33zRc8IFUiVv/xvfEO7vSEr3kGibW5Ze0+i1LknvoWh/wLE9+8Uva/r3gKXcAwDgOMKfS/7gDz/zp5e61Qw3XUlewGuxLkPnvzANWUwGbTLcBOsw3ATTRN8rmeEmbln0fsr8zrRMdE0z15atGG6SJElqt6MPN0XblEzZ59hj5w7NLHlO1x7iGTv39LVom8jaz+Pa1wVa9pFX/lA4sFLyxq96Qri/I1nyeXuL0msavdYl6T0U7Q84NsNN8XYAwP4MN/WZ4aYrGS7gPdqC3bHFx0m0DXWi65lZTAZtMtwE6zDcBNNE3yuZ4SZuWfR+yvzOtEx0TTPXlq0YbpIkSWq31oebot9dhqJtatQMw2zxrzYlpf2ODQlde4jHcBMczyd+/WfCgZWS1/yZzw73dyQWtt8rvabRa12S3kPR/oBjM9wUbwcA7M9wU58ZbrqS8wW8R1ooZLhpO9H1zCwmgzYZboJ1GG6CaaLvlayFnxvTOUTnlkXbQI3o/ZT5nWmZ6Jpmri1bMdwkSZLUbkcebpoyTHOuZrHjlgsio/1lY8/r2os0x4aIprwehptgP3/8sbeEAys1PvHOV4T7PIprf2a2JL2W0WtcI72Hon0Cx2a4Kd4OANif4aY+M9x0JdEC3pf9/I+Gj22N4abtRNczs5gM2mS4CdZhuAmmib5XMsNN3LLo/ZT5nWmZ6Jpmri1bMdwkSZLUbi0PNy35F45qRPvMxoZlkrn/alMW7TMbG8Yx3BRbe39wa97wlY8Ph1ZKfucnXhDu7ygsbH/Uhx5+LaPXuCS9d6L9AcdnuCneDgDYn+GmPjPcdCWXFvAeYcDJcNN2ouuZWUwGbTLcBOsw3ATTRN8rmeEmbln0fsr8zrRMdE0z15atGG6SJElqt5aHm0oLEpcOGJX2Pyba3xRjwzhJtE1SGvhaek1KomNmhpugXW97xteFgysl7/wHzwj3dxQWtj8qvZbRa1yS3jvR/oDjM9wUbwcA7M9wU58ZbrqSsQW8rQ84GW7aTnQ9M4vJoE2Gm2Adhptgmuh7JTPcxC2L3k+Z35mWia5p5tqyFcNNkiRJ7dbzcFMS7bdkyhDPJXMXW5aGm9Y4t0tK5zzl2IabYF/v/q5vCwdXSt7wFcf+V3vmftbeovRaRq9xSXrvRPsDjs9wU7wdALA/w019ZrjpSkoDQi0POBlu2k50PTOLyaBNhptgHYabYJroeyUz3MQti95Pmd+ZlomuaebashXDTZIkSe3W8nBT9HvLULTNVGNDMZesMVS1ZFAoevxQtM0aStfKcBO06yOveHE4uFLjk+96ZbjPI7Cw/dM++RuvDF/bGum9E+0TOD7DTfF2AMD+DDf1meGmKykNCCWtDjgZbtpOdD0zi8mgTYabYB2Gm2Ca6HslM9zELYveT5nfmZaJrmnm2rIVw02SJEntdtThprUGVkr/EtK5KQM8Y5b8C0ylhZprDF9FomMNTbk2hptgX3/4268LB1dqfOBl3xvu8wgsbP+0Dz78GkavbY303on2CRyf4aZ4OwBgf4ab+sxw05XUDDclLQ44GW7aTnQ9M4vJoE2Gm2Adhptgmuh7JTPcxC2L3k+Z35mWia5p5tqyFcNNkiRJ7dbqcNOS4Z+pxgZjzq05OBTtPxsbyCldmy2GeWqukeEmaNubH3hSOLxS8uvPflq4vyOwsP3T0msYvbYl6T0T7Q+4DYab4u0AgP0Zbuozw01XUjvclLQ24GS4aTvR9cwsJoM2GW6CdRhugmmi75XMcBO3LHo/ZX5nWia6pplry1YMN0mSJLVbq8NNpcWIaw43lY41FG0/V2lgKNomix4/tOb1KQ1TZVOOabgJ9vee5z4rHGApec3nfs7pjz76pnCfrSt9vkfb3Jr02qXXMHptS9J7JtoncBsMN8XbAQD7M9zUZ4abrmTKcFPS0oCT4abtRNczs5gM2mS4CdZxtOGmdE6XtPgvb3J7ou+VzHATtyx6P2V+Z1omuqaZa8tWDDdJkiS121GHm9b8F5SS0qBRsvcxo22y0vVJ1jjf2sGmxHATtO13X/2ScIClxgdf/r3hPltnYftbH3ntote0RnrPRPsEboPhpng7AGB/hpv6zHDTlaSFr9EPyGNaWShbOvdoG+pE1zOzmAzaZLgJ1jH280X6WrTNNR3tfLk90XsvM9zELYveT5nfmZaJrmnm2rIVw02SJEnt1upwU/Q7y1C0zRI1w0LRdkuUjlkaFoq2ObdkwGnKYFNSOt8hw02wv//y4TeEAyw1HnraA+E+W2dh+1sfee2i17RGes9E+wRug+GmeDsAYH+Gm/rMcNOVlAaELon2tbfSuUfbUCe6npnFZNAmw02wjqMNCx3tfLk90XsvM9zELYveT5nfmZaJrmnm2rIVw02SJEntZrjpUdFxsimDO7VKCy5Lx6wdPppz7qVzi0w5juEmuI5f+fonh0MsNT717p8L99my0mdZtM0tSa9Z9FrWSO+VaJ/A7TDcFG8HAOzPcFOfGW66ktKA0CUtLJYtnXu0DXWi65lZTAZtMtwE6zjasNDRzpfbE733MsNN3LLo/ZT5nWmZ6Jpmri1bMdwkSZLUbi0ON5WGdrYaVhlbABk9fqk1nufYUM+59PxK/5JTesylfZaOlbaN9hkZ21fN8z639v7gVv3WD39nOMhS430vfE64z5b1vrA9vWbRa1kjvVeifQK3w3BTvB0AsD/DTX1muOlKSgNCY669YLZ07tE21ImuZ2YxGbTJcBOs42jDQkc7X25P9N7LDDdxy6L3U+Z3pmWia5q5tmzFcJMkSVK7tTjcVFqIOGWIZqoWjjcUbTNU+683nUsDP0PRY86VjjXlOo0dM30t2mbM2vuDW/WffvO14SBLjV/+iseH+2xZ7wvb02sWvZY10nsl2idwOww3xdsBAPsz3NRnhpuupDQgVHLNRbOlc4+2oU50PTOLyaBNhptgHUcbFjra+XJ7ovdeZriJWxa9nzK/My0TXdPMtWUrhpskSZLa7YjDTaV/fWiJaEhm7+MNRducmzvgNEW+BtHXMsNNcAxv/9a/Eg6z1PjAy74n3Gerel7Ynl6r6DWskd4j0T6B22K4Kd4OANif4aY+M9x0JaUBoRrXWjhbOvdoG+pE1zOzmAzaZLgJ1nG0YaGjnS+3J3rvZYabuGXR+ynzO9My0TXNXFu2YrhJkiSp3Vocbop+XxnactjofFBo68GYsaGcpHZgaMsBp+H1jr6eGW6CY/jwT/9gONBS401/6YnhPlvV88L29FpFr2GND/3UD4T7BG6L4aZ4OwBgf4ab+sxw05WUBoRKX8+usXi2dG7RNtSJrmdmMRm0yXATrGPs54tr/LxTcrTz5fZE773McBO3LHo/ZX5nWia6pplry1YMN0mSJLXbEYebom3WNByU2XKQKiktupwyMJTOdWzIZ47z5x89JjPcBMfx2i/4vHCopcaHfvL7w322qNeF7ek1il67Gum9Ee0TuD2Gm+LtAID9GW7qM8NNV1IzIFR6TLb3Atqac2ee6HpmFpNBmww3wTrGfr7Y+2edGkc7X25P9N7LDDdxy6L3U+Z3pmWia5q5tmzFcJMkSVK7tTbcVPMvEEXbrWm4EDL6+ppKiy7nDOaU9lkjHTca7Ioem6Xjnj/+krWHkdbeH9y6d337t4SDLTXe/MCTwn22qNeF7ek1il67Gum9Ee0TuD2Gm+LtAID9GW7qM8NNV1I7IFR6XLbnItrac2e66HpmFpNBmww3wTrGfr7Y8+ecWkc7X25P9N7LDDdxy6L3U+Z3pmWia5q5tmzFcJMkSVK7HW24acoAzRKXhnu2ED3PbO5gTjr3OUNO6Xhj1zjaJpvy2qw9jLT2/uDW/f6DLw0HW2p98Me+L9xva3pc2J5em+g1q5XeG9F+gdtjuCneDgDYn+GmPjPcdCVTBoRKj832Wkg75dyZJrqemcVk0CbDTbCOsZ8v9voZZ4qjnS+3J3rvZYabuGXR+ynzO9My0TXNXFu2YrhJkiSp3VobbmrFlEGd1uVBp0sDQOm/39LzBeo89LQHwuGWGq//0i84/dFH3xTul+tJr8nrvuSx4WtW46GnPSXcL3Cbbn24CQA4DsNNfWa46UqmDgiVHp/tsZh26rlTL7qemcVk0CbDTbCOsZ8v9vj5ZqqjnS+3J3rvZYabuGXR+ynzO9My0TXNXFu2YrhJkiSp3Qw3AfTp937hJeGAS613f9ffDvfL9bz7O58Zvla1fvc1Lwn3C9wmw00AQCsMN/WZ4aYrmTMgVNom23rR0Zxzp050PTOLyaBNhptgHUcbFjra+XJ7ovde1sLPjekconPLom2gRvR+yvzOtEx0TTPXlq0YbpIkSWo3w00A/foXX/7l4ZBLrY+/+eXhftlfei2i16jWW5/61eF+gdtluAkAaIXhpj4z3HQlcweESttlL/v5Hw23X8Pcc6csup6ZxWTQJsNNsI6jDQsd7Xy5PdF7LzPcxNq2/P1yquj9lPmdaZnommauLVsx3CRJktRuhpsA+vW8v/sd4aBLrV/9a18T7pf9pdcieo1qffSVPxTuF7hdhpsAgFYYbuozw01XsmRAqLRtttUCtCXnPlV6DklaSHXpuOm/J9dabJWOO3Z++es1r0e0fXat5weMu8Xhpimfu1t+NuX9r/H5yv1qXud8jaPt13bpPJL0tWibLD+PaB/5eaz9Pllyvq3K74nk0vPKX4+2b0k6x3S+0euUn8c1Pjvy9YvOK8lfrzm3aPss7SPaZk/pHKJzy6JtzuVr1drreG7sPIfn2sr5TpXOOz2PVs79/PoOpXONtlkiPe/a1/ga1ygdN59fdG756zXnFm2fpX1E28BShpskSZLazXATQL/SArJ/+HlfHA671HrfC78j3Df7+c0XPid8bWq95YEnhfsFbpvhJgCgFYab+sxw05VcWniURdsMRdtEtlhctfTca6SFU9G+a+SFZdF+11S6DpG0zdhrEm2TWUwGbbqV4aa8cDf6/Kmx5mfvnPPY+vM17TvaNlvrfjt2b0lfi7aZau7rPHadSvuMtjk39bmnaz62zSU1r3dkzrEuifZ/TVtcyx7eE1PMOa+0zdhnS7RNtsdzKpn7HljyOo5dr7Wl4805z2zOa1S6pkm03VL5ec455xrnz+Hc+esaPSZb6xznvg+zdB5bvx/nnF/aZuy8om2yrV5/MNwkSZLUboabAPqVFpB98Z//pnDgZYqPvfafhvtne+naR6/JFB/6qe8P9w3cNsNNAEArDDf1meGmKyktRIq2GUoLkqLtImsvqlp67mOmPK+S0sKtuWoWFZakc4v2HT02s5gM2nT04aY1P3eTS59vNVr+fC1dp7XuN2P32CXXNlnrtY6ea+m1O398ZMpzH3tsramv2RrHzKL9X0O6Bltdyx7eEzVa/lzb2pz3wBqv46XrtZY1znFo6msV7WNoi/fxcP/R15coXc/o9Ywel63x3l/zNd7ie7H0vVXj0vdJ9Nhsi+cCieEmSZKkdjPcBNCvvIDsf33Ml4VDL7Ue/AuPO/3nD7w+PAbbSdc8XfvoNan10NOfEu4buH2GmwCAVhhu6jPDTVdSWjAVbXMuLVyLto2suchtjXOPrLmIbOjSwq2p0jVc+xzPX5foMZnFZNCmow43bfGZlk295xzh8zXtL9o2m/qcLxm7DkvuZ2tf3/NzKS20Hj72ktrnvuZzmfK6rXncaP97W2Nx/FCP74kxaT9rnldyfm7RY7IWfm6c8h5Izy16zBJrvZbZFuc4VHu+Nd+70XZznb+P176uw31HouNFj8uWvPe3fI3XuG5pH71/rnCbDDdJkiS1m+EmgH7lBWT/3Zc9Kxx8meIdz/yr4THYTrrm0Wsxxb//lR8P9w3cPsNNAEArDDf1meGmKyktSoq2iUxZgLXGgqpkrXPPpjyHudI5R8euteU5Dl+X6OuZxWTQpiMON239uTvlfnOUz9fSeU55zmPG7rFz72Wl+/Zcw/MpLbYfns8lNc99i+dS+9qteexo/3va4jom+XVKenhPXFL6vFhieG7R17MWfm6sfQ/sdb2W2Op75tzwe2hMtO3QWs87ifYfPW6O0nvk0vWIHpvNfe/v8RoveV32+j6Jvp618LnCbTLcJEmS1G6GmwD6NVxA9o2P/R/D4Zcpfu2bHgiPw/oeevhaR6/BFO957rPCfQN9MNwEALTCcFOfGW66ktLiqWibS6YsdFpjodu1zn2p2sWC5/Y4x/y6RF/LLCaDNh1tuKmlxbtH+nwtnWvtcy4Ze33m3Me2fr3zOZUWqJ+fV6T03EvHmKv2uq55LaP972XN5xHJ17OH90TkSJ9rW6t5D+x5veba+nvmXM37r3Rtl7yHhy4dZ617XrTvoUvHiR6bzXnv7/kaz7l2e36fRF/LWvhc4TYZbpIkSWo3w00A/RouIPsTf/E7Tz/yP/zZcAhmig/86PPDY7Ge9//z54XXfooHn/hFpz/+Pfd76JnhJgCgFYab+sxw05WUFlBF24yZsuBpzoKqoTXPfepCsrSgaihtP2Uf6bHReYyJ9lOSz2vK+ZWOZTEZtOlIw021n0dL1d5nom1LrvX5WrrPLr23ZmPPKX0t2uaS2uszlK/rUPS4oXxPjr6WRed3ruZYl0w953M1r9+S8zsX7X8PpdfpkqnXt5f3RCTaV8mccy0dK13/83PbW817IPrvQ+fXpvb6nJv7es493lLpuNH5DEXbDa1xX7r0/Nd4f5XeH2PXIHp8NvXc0nWK9nNJOq90jKGp75Opr020j5J0TkPRY86VjjX12kItw02SJEntZrgJoF/nC8ge97hvCgdhpvrIz74oPB7LpWsbXfOpfucnXhDuH+iH4SYAoBWGm/rMcNOVlBYYRduUTFmYtWSx21rnnhZHRdufS8erOd/a/U157rULwZLSYq903LFzLB3LYjJo01GGm2o/I7P0+Eufl+lrY59ZNZ+zR/t8TceIts1qnnONsXNNX4u2iYxdj3PpsaXzT48pnVv037Non+dK+ziXHl967Uqv21C0/dDU8xsT7X9rU65Feq5HfU+UznvN98S5Kedb895Nj4m2TUrHKu1/D2Pnn1x6Dum/L70+kdJ749yU1zO5dN7puHPON+3vfF9Dpf2VrmFJaf9Tr+e5aJ9DY/uPHp9Nfd7RPiI1+03nXPO+Kb22Q1Peh6VzLL0PS8eaem2hluEmSZKkdjPcBNCvaAHZr/7PXxsOw0zx6s/5U6eP/dKPhMdkvt9/+Jqmaxtd8yne9s1fF+4f6IvhJgCgFYab+sxw05WUFg5F29RIC5ai/UWi7Wusce615zm2qC1Ss6AsfT3a9tzYwq+h2v0NTXmdMovJoE1HGG6a8pkz9XM3+qws7eOIn6+l/U69bpeM3cNqr0ftNUj7m3re6fFj53hJtK9zU/Y79bxr9r3mPtPXom2uKTrPyNTrkHhP+LkxUntNhuacd+31mXLtp5z71HOesu/SezDaZmjq98VQ6XtkzmuVla5B6bWKtsmmnFfN58Cc79ma17jmtal9r8w5x6N+rnCbDDdJkiS1m+EmgH5FC8g+9s5/eXrd4z4/HIqZ4rVf+GdPH/pJ/zrQWtK1TNc0utZTpNf2U+99VXgMoC+GmwCAVhhu6jPDTVdSWkgVbVNriwV+Q2uce2kfybUX40XbnVtyjlMXlFlMBm06wnBT9Jlybu49IRt+7pY+G4fHvaS1z9fSPpec79DY/av2NYq2Pbfm610j2se52n3Ovdal/U+9z47tb+n1XVt6btF5Di0959rXL4v2ca52ny28J6Ltzy35nCh9Bp1r4efGmvfd0B7Xp/YY0bbn9vqeGTvn0jVe8j6I9ncu2q5G6bmXXqdom6z2Ode8Z5a8xjX7j7YbirY5V/uejtSc41ALnyvcJsNNkiRJ7Wa4CaBflxa2f+QVLw4HY6ZKwzjpXxuKjk299K9grTHYlKTXNjoG0B/DTQBAKww39ZnhpispLeiKtpmidqHSnAVbS8+95tyWLNLKov1mpeddsxhzjXOcsqDMYjJoU+vDTTWfZ0sW7w7lz7Sxz8fSPSRp8fO1tL81zjkZuz41r1PN817r9a55LbNo+3M1+1ty7qVrM/U+O3a+a13jNXhPXLbWe6Lmc3aNz4ia1zKb+n7eQs11yfa8PtG2Q1u/74bWOFa0zdCca1tzXsmcfZfeFzXXNtouq33vl55jzXmUlJ7r2PWr+f7Z8/smqb22MJXhJkmSpHYz3ATQr7GF7f/2e/5eOBwz1as/50+dPvKzL7rv2NRJ1y5dw+jaTpVe0+gYQJ8MNwEArTDc1GeGm66ktJgq2maqmgVRydSFW0vPvXReay2aKh0n2iaLHj+05sKu2gVlax4TWE/Lw001ny9rLN4dSsccW2wbncNQq5+vpX2NPecpxu6xNa9V6R699utdOl4WbXuuZl/RdlNE+xyKtrlk7HzXvs5LlH4eSqLt5urxPRFtN9Trz401771krc/PpOb6jB2vZvu1v79r3udj51y6znPeC9F+Lom2H1N6vjXnG22X1T7faNuhaJs5on1nY+caPX5ozut6Sc37PlnzmDBkuEmSJKndDDcB9Ku0sP2hpz8lHJKZ4/3//Hn3HJuyD/zo88NrOUd6LaNjAP0y3AQAtMJwU58ZbrqS0qKuaJs5ahbLJVMW6S0992iboWibucbO9dJzTou2osdnU65VrdIxE4vJoE0tDzdd4/NszJE/X0sLf8cWnk8x576V1SxOXus8h6LjnIu2Ozf23JM13h+l90O0zSVLXqs9Rec35D2x7D1x5M+1rdWc5zWuz9i12eM9Fykdd+ycaz77o+0uqXndhqZ8hpTOtfb6RttmY9cqW/Iemar0nKPrVzq/a3zfJGteFxgy3CRJktRuhpsA+lVa2P6p97zq9Etf9PnhsMwcD33TA/ccn8t+7eFrFV3DOdJrmF7L6DhAvww3AQCtMNzUZ4abrqS0gC3aZq7SsbLaRVJLzr20uGvtBVNji7QuPd/S85uygK9W6bokFpNBm1oeboo+S4a2+Dwbc+TP19J+1jr3sWt06b6Vjd3zkq3uI6XXNYm2O1fazxrnX7pG0TaXLHmt9lJ63251nj29J0rn2PLn2tZK1zaJtltDdKyhaJskeuzQFq9nUvOaRttlpWs95f1Q8/07tOa+a/cVbZvV7KN0HtE2S0THyKL3lM8VemO4SZIkqd0MNwH0q2Zh+4d/9kXhwMxc73jmXz395w+8/p5j8Kg/fP/rT//q4WsUXbu50msYHQvom+EmAKAVhpv6zHDTley9oKp2kVp6XLT90JJzTwuiom2yaJulouNkUx9fc33mKl0bi8mgTa0ON5UWqV7jMyU6j6z1z9fS9VxrofHYPbZ0jUr35y0WQ2fR8Yaibc6Vzj/aZqo1X8clr9VeSu9974nl74lom2zL98Ean2tbK53jNa9P9Lpe83yTOeecld7HSbTdudI5XFL6PsmibbMp1zfaPkvPIdpmKNouq9l+qrHrGh0velzW++cKt8lwkyRJUrsZbgLoV+3C9ve/9Hnh0MxcD/6Fx50+9tp/et9xepeuyYNf/rjwms31/pc+PzwWgOEmAKAVhpv6zHDTlaRFSdGCoSzaZqnSMbPSgqkl536N5x0dJztfiFdaGLjlgq5rHhuYr9XhptIC1dqFyGs5+udraR9rXc+x+2Tp/hxtk5W2XWqN+/sePyOs+Touea32ssc1vaSH90Rp295/bizdh1q7Ptf8fkmWvqal6z32Xs7GrsHY+dW8lqXrO+X9EG2flfZzje+dsdcmXZfhY69xftk1j03fDDdJkiS1m+EmgH5NWdj+vhd+Rzg8s8RvvvA54bF6lK5FdI2WeJ/rC4ww3AQAtMJwU58ZbrqSay2eKx03O19kNbTk3KPHD6V9ry06Tna+QGts4VlSsyhwieiYmcVk0KZWh5uiz5GhaJstHf3ztbTgd63zH7tvpa9F2yTXXpBcen2jbc6V7tnRNlOt+TrOfa32FJ1btvU59vCeOPrn2tbWeA8sER0zi65PC9/T0bGHom2y0ns5ibYbirZJ8vOPvpad7+tctE029fpG+8hK7/3S+zJJ57O26DjZlPPr/XOF22S4SZIkqd0MNwH0a+rC9vc879nhEM0Sv/rXvub08Te/PDxeD9JzT9cgujZLvPfh1yo6HkBmuAkAaIXhpj4z3HQlUxY4ra107Cw9bs720TZZ9PhrOl+gVVpMNnzsFqJjZhaTQZuOONx0jc+To3++LhmAmGLsHnvpvpzsdX6XrPH6zn3uU6x5nfY436Wic8u2/hzo4T1x9M+1rY1dnz2+R6a+f6LHZXtdz6XvqdL2Y+/nseuVn//Y/pd8r+T914r2kZX2VTqXa5hyfsPHbiE6Zjb1dYJahpskSZLazXATQL/mLGx/17c/IxymWerd3/nM0x999E3hMW9Req7pOUfXYqn0GkXHBBgy3AQAtMJwU58ZbrqSscVjSbTNmkrHz6JFanPPvbR49BrOFzaOPbfzx25h7PgWk0GbWhxuKn3eji1A3srRP1/3uqZzr9O1F0OXrk+0zbk93iNrvo57nO8Se71nL+nhPXHt98DY8Vv4uXHsc2mP6zP1czF6TLbX9Sydc+n7tvR+Hrvu0eOT822ixyRz9p3MeS9E+8lKr1U6XrTdNQ1f17Hzm3Otpho7/l7fB/THcJMkSVK7GW4C6Nfche3v+FtPDYdqlnrdlzz29MEf+77wmLckPcfXf+kXhNdgqfTaRMcEOGe4CQBoheGmPjPcdCWlRVXRNmurXdh1vohu7rmXFttdw/kCsbHndv7YLYwtaLSYDNpkuKnO0T9f97qmc6/T2PNLom3WFh03ix5/bo/3yJqv4x7nu8Re79kx0XGz6PHnWn9PXPs90PrPjdc+vymfiy18vyRrnEfpeUf7mPJajT126r5mD+l+AADrf0lEQVST8/3XiPaTlfY39n17LcPr5nOFHhlukiRJajfDTQD9WrKwfat/wSl58wNPOn3oJ78/PO6R/c5PvOD0loefW/Sc1+BfbAKmMNwEALTCcFOfGW66ktKiqmibLdQu7qpdcJUM9z+U9hE9/prOF4iNPbfzx27BYjI4HsNNdY7++brXNZ17ncaeXxJts7bouFn0+HN7vEfWfB33ON8l9nrPjomOm0WPP9f6e+La74HWf2689vlN+Vxs4fslWeM8SvuIrv3Ye/n8sWP7n7rvud8n0b6y0ntr7HyuZfi6bnG9phj7vildW5jLcJMkSVK7GW4C6NfShe3vfd6zwyGbtbzpLz3x9IGXfU947CNJz+GNT35C+BzX8p6HX4vo2ACXGG4CAFphuKnPDDddSWlRVbTNFkqL34byoqu55z7lWHs5XyBmMRkwleGmOkf/fN3rms69TmPPL4m2WVt03Cx6/Lk93iNrvo57nO8Se71nx0THzaLHn2v9PXHt90DrPzde+/ymfC628P2SrHUepec+3M+c12nsvT98XOk8Lu2/JNpXVtrn2Llfy/D18LlCjww3SZIktZvhJoB+rbGw/X0vfE44bLOmX/6Kx59+8+HjfOrdPxeeQ4vSuaZrk849ek5ret8LvyM8B4AxhpsAgFYYbuozw01XUlpUFW2zldIiuqH02LnnXjrOcFHXtYwt5kqibdY0dm0tJoM2HXG46RqfJ0f/fN3rHjZ2nulr0TbJta9v6fpE25yb+9ynWPN13ON8l4rOLdv6c6CH98TRP9e2NnZ99vgemfL+Kb0P9rqea72npjyfses03OfQ2P5r973kPRDtLyu9Vlud01rWeg/MNXZ9StcW5jLcJEmS1G6GmwD6tdbC9ve/9Pnh0M0WHnraU04ffPn3nv7oo28Kz+Wa0jmlc3voaQ+E576F97/0eeG5AJQYbgIAWmG4qc8MN13J2KKhJNpmS6UFcENLzj16fNbCYimLyYCpWhxuSqLPkewanydH/3wt3SfT16Ptpho7z/S1aJtkr/O7pHT8aJtzc5/7FGtepz3Od6no3LKtPwd6eE8c/XNtay1fn+j9Ez0u2+t6rnnNavcVfS0pfY9F22Tp66XjL7mm0f6y0n7XvMZbuPb5tf65wm0y3CRJktRuhpsA+rXmwvYP/+yLTq/9wseEAzhbeM3nfc7p1//O004ffNn3nj75G68Mz2kP6dgfeNn3PHIu6Zyic93CL33R5z9yzaNzAqhhuAkAaIXhpj4z3HQlY4uGkmibrZUWd9aK9p1Fj89aWCy1ZIHrGqJjZhaTQZtaHW6auqh7a0f/fN3r/Je8btE22db3kLT/6LhZtM25Pd6za76Oe5zvUtc8xx7eE2u+n+aIjpm18HPjGu+BJaJjZtH7J3rc0Pnjt7Dme770/kyvz9jxSu/fsdc3bbvmczkX7TMrvfev/b4s8blCjww3SZIktZvhJoB+rb2w/Q/e86rTQ09/SjiMs7Vf/ot//vTOf/CM0+/8f/7R6RPvfEV4fmtI+07HeNfDx0rHjM5la+kaf+rhax2dH0Atw00AQCsMN/WZ4aYrGVvslUTb7KG0mKpGtN9sy0Vuayg9/y0XdJUW2llMBm064nBTEm2zpaN/vu51/tG+s9J9Mtom2/oeGx1zKNrm3B4/I5Rex/T1aLvIHue71Ng5JtE2a4mONxRtc67198RenwuRNT7XtlY6xynfb1PNeW2ueb5ZdNxsznu+9JwuqT1WtG2Npe/PaJ9Zad+l98Yer/OYOe/dtZTeL1sem74ZbpIkSWo3w00A/dpqYft7n/93w6GcPb3mz3z26Y1f9YTT2//GN5ze+91/5/TBl3/f6fde88Onj7/pZaf/8LafPn3q3a86/affeu3pjz76pkek//uT/+bnTv/h7T/9yGPSY9M2adu0j7SvtM/oWHv6t9/z98JrDjCV4SYAoBWGm/rMcNOVXHOxaUlpQVVJtM+s5eedRec1FG2zhtK1sZgM2tTqcFOLC1Sj8xiKtlnDWp+v0bbZWtcz2ndWOsa17rE1PzdE250bO//0tWibqdZc1L7H+S51rc+Bnt4T0TZD0TZrGLs2yVav7RTXev8lpesTbVN6L2x9Tbd4TWu+FyO1xyq9xpE1vnej/Walc7/261wjOq+haJs1HOFzhdtkuEmSJKndDDcB9GvLhe0fecWLT7/0xZ8fDugw3ese9/mPXNPoWgPMYbgJAGiF4aY+M9x0JXMW3O1p7kK4JNpfVloAt9WCqXS9a/ddOsfSIte5omMNWUwGbWp1uCmJPkuGom22dPTP12jboWibKUrXp3SeS7efq3TcJNru3NjPRmsshk9KP99MeQ/ucb5riM4v2+o8e3pPlJ5r659rW6p5H1zr+kTbJNFjh7Y639L7MIm2q1HzOgxN+d6qOe9za7w3o/1mNfuPthuKtlkqnVdS8x4qvWbX+r5Z47WDiOEmSZKkdjPcBNCvrRe2f+q9rzq97Zu/LhzWoV66hulaRtcYYC7DTQBAKww39ZnhpisZW6yZRNvsbc5itSTa11C0zVC0zRLDxWHpupcWg5We91qLaYdK74fEYjJoU8vDTaXPli0+z8Yc/fO1tK9omynWWMwcbTcUbbNE7c8K0bbnxq7vWu+N0vnWXONsj/NdQ+l9O+U51+jtPVHafov3Quk1TVr4ubH0mZZc4/qMHbN0zlucb7LknEtqvyezqe+dmtc5W+v6RfvOas6/dM5Tr0GNKfv3uUJvDDdJkiS1m+EmgH7ttbD9d37iBacHn/hF4eAOl6Vrlq5ddE0BljLcBAC0wnBTnxluupLS4qFom2uYuhguifYzVHruay7WunT+pWNE2wytubCr9hpbTAZtanm4qebzJT0m2nautL+xfUbnMNTy52t6XLR9tvRarvGzwZ732KR0vCza9tzYvtY679J7YspruMf5rqH0vk2i7ebq8T0RbTfU8ufalmree8mU77uSmusTbZfVbL/293fN98zSa1T7WiTR9mNq35PJWu/LaN9ZzTFqznnpNR+69BqPHSN6/NCa3+O1r+Gax4Qhw02SJEntZrgJoF97Lmz/49978+k9z31WOMTD/dK1StcsupYAazDcBAC0wnBTnxluupLSIrZom2uZsmAtifYxtNdisprjXFqglf579Pihvc4xs5gM2tTycFOyx6LpLH+mje3vyJ+vNfuMtqtRui61i+lrzrF2XyU1760s2v7c2P7WOufS9Zny3tvjfNcSnePQWuc7dk3ORduf2+Mar/Ge8HNjrOa6ZHtdn5r3Tc37eK33317Hqn3vzD1WtK9ItO0c0b6z2vd+6drv+RpH2/lcoSeGmyRJktrNcBNAv66xsP3f/8qPnx56+lPCgR7+5CPXJl2j6NoBrMlwEwDQCsNNfWa46UpKi5yiba5pyuLEaPtzNYu8lizWql2kdekYS7evUXuMzGIyaFPrw01J9Jlybuki3uF9ovTZODzuJa1+vkbbD825jjXnO+Uca+6xS1/vmmMMRfs4N7bPpeebla71lPfdHue7lpqf45ae89j1iET7OLfHNV7jPVHzPZxMeX+dqz1G1sLPjTXvu6Gl16fmPVhzjNprvdf3TLTtHDXHi7arUXPN1nxPRvvPao9Tc857vMaXjlH7Pqx5T19Se4yshc8VbpPhJkmSpHYz3ATQr2subP/QT33/6S0PPCkc8OnRW/7ykx65JtG1AtiC4SYAoBWGm/rMcNOVlBY6RdtcW83irCTa9lztQqo5C8pqF1KWFoLV7mfOIq/afQ9ZTAZtOsJwU+1nTvrMnfpZE32elz5fa+8BLX6+1ux/yr2r9lpE215Su88599i079qfB4aifZ0b2++cc42Urk36erRdZI/zXVPN65YeM+UaJN4Tn1b72dPi59pW5pz31PdfUnucKe+Z0vtiaOq1nnJd1nwdS89p6fdUtM+haJu5ov1nU65Z7WfX1PdlenzNvkvXvPa9Mud9MuV9mK35foQhw02SJEntZrgJoF8tLGz/6Ct/6PTWp351OPDTg/Tc0zWIrg3Algw3AQCtMNzUZ4abrqS02CnapgU1i7Si7SJTFlSVFlKlBWRT9ldaSJbVPN8sHb+08C095tI+S8cqXQPgOo4w3JRM+TxLj02fOZc+d0qfuTWLgI/8+RrtIzJ23mPne27q+SVTrm96bOn6ll7z0vGifZ4b20f6WrTNVOl5RPvPStdhaI/zXVPpuQ+l8y+977wn7ld6zkPp2pX2nR5zaZ+lY5Vevz2MvT9Kll6fSLSPMVP2neRzjs576rkm6fHn+1lq7BymvNcjY693+lq0zVzRMbKpx4r2EUnXbu33ZM01n7K/dPwl51g61tqvI2SGmyRJktrNcBNAv1pa2P67r3nJ6aGnPSUcALpFDz3tgdPv/cJLwmsBsAfDTQBAKww39ZnhpispLRyKtmnFmuc+ZbFWlrYZih4zJm0TnUskLQ6L9lEy5xxLx7KYDNp0lOGmpPbzaKmaxbpH/nxNj4/2s4X0HKNzqFF7fYaG17Z2+/S40jWJzu/c2PHS16Jtpiq9F2reu9ke57u2sXO+JG0zFD3mXHpcj++J0r4uydc2ix5zrnSsFn5uLL0Haq/XnOtzbsrrODT3eEul40bns9Sla77W8aJ9J9Fjl4iOkU197+/5fTtU+57c8/xKx2rhc4XbZLhJkiSp3Qw3AfSrxYXtv//gS0/v+vZvOb32Cz4vHAo6svSc0nNLzzF67gB7MtwEALTCcFOfGW66ktICo2ibloydf/T4MbWLrdaQjhWdw5i5C8qmyIvboq9lFpNBm4403JTs8Zm79YLdKbb6fN3r3lV7LS/Z+jzzfbU0xHB+XpGxc83HWar0nptyvfc43y2Mnfca8nPv8T2RlPa3hnxO0deyFn5urHkP7Hm95tr6e+bcWu/tS6Lns9b7JXrNt3gvnh9jaM7x9ngfDk19T+75fRJ9LdvitYTEcJMkSVK7GW4C6FfrC9s/9FM/cHr7t/6VcFDoSNJz+PBP/2D4HAGuxXATANAKw019ZrjpSkqL5KJtWnPpOUSPLdlj0eCShYJbLigbLm6Lvp5ZTAZtOtpwU7L1Z+6URbtH/nxt6TqO2eo8h/fVdA2jx2TD87lk7DyHx1qi9H6bcs33ON+tjJ37EsPn3eN7Iivtc4nh+URfz1r4ubH2PbDX9Vpiq++Zc2u9r8dE1zt63Bxb7nvo/BhDc9/7W74Ph+a+J7c8v+E5RV/PWvhc4TYZbpIkSWo3w00A/TrKwvb/+L5fPP3WD3/n6Ve+/snh8FCL0rmmc07nHj0ngGsz3AQAtMJwU58ZbrqS0gK5aJsWRc8jelyNLRcNzl1ENrTFgrLz84oek1lMBm064nBTkj5/tvrcnfqZu8W57PX52so1LFn7PNP+hvuvHWIYM3aO58ebK13XaP/ZlOu+x/luqfSaTeU9ca/Sfuc4P5foMVkLPzdOeQ/scb2W2uIch9Y+3zHD76213ytb7jvL+48sOeaWr/Ean1l7fJ9Ej8la+FzhNhlukiRJajfDTQD9OuLC9v/y4TecfvfVLzm957nPOr35gSeFg0XXkM4lnVM6t3SO0bkDtMRwEwDQCsNNfWa46UrGFmsm0TatOn8u0WNqpcVVpWszRVqAtfZCwbTP6FhTXFrcFj02s5gM2nTU4aZsjc+0c3M/d9f6fI2OHz02W/r5uuY1vHT+a0jnucY9Njq/0jU4f3xk7Nwu3TenSuce7T+bcu33ON+tpee7xnsi+h7q8T0RWePz4dJzjR6bRa/J3qa+B9Z6P6713rhkjdd0aOvzjQzf99HXl9hy31nef2SN9/6ar3F6fdf+flzj/I76ucJtMtwkSZLUboabAPp1Cwvb//C3X3f6yCtefHr3d33b6W3P+LrTG77y8eHw0ZrSMdKx0jHTsdM5ROcG0DLDTQBAKww39ZnhpispLdyLtmnZ8PlEX59q6eLGtPBq6WLUMWnfcxaVlRa3RdtkFpNBm44+3JSlz5gWPneP+vk697yz0vmvKR1nzms9dn6l5x5tc27snNLXom2mSq9TtP9synt4j/Pdy5L3xKVr1uN74pK0j9L1iKTnmLaL9plE22Rj2+1l7nsgXa8578e0zRqvV605r2lWem33kM4hib62VHqOWz6/8+s5tOZxW36Ne/1c4TYZbpIkSWo3w00A/brVhe1//LG3nD7x6z9z+sgrf+j0my96zulf//2/fnrH33zq6aGnP+X0lq/9qtObnvyE04NP/KLTa7/wMadXf+6ffkT6v9N/S19Lj0mPTdukbdM+0r7SPtO+o2MCHI3hJgCgFYab+sxwE6tJC6XSoqfoa0ukRVRJ3n8kP2bPBY1ZXlh26fy2XtgGXNetDDcN5c+0sc/d/Nm25efuUT9fS+edpK+1cP75PC+da/p6zWucHhdtn0Xb0Ka13hPEjvq5dg211+ra1yufZ+lcW3ttt/w+bul5rmH4Gkevb3LN96PPFY7OcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDexmrSoKi2eir4GcKtucbgJphpb8J1E2wAAgOEmSZKkdjPcBNAvC9sB+uUeAAC0wnBTnxluYlVb/n8AB2iR4SYw3AQAwDyGmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muAkAFjDcBOPDTY99/GPDbQAAwHCTJElSuxluAuiXhe0A/XIPAABaYbipzww3AcAChptoSfoXFNMw0SXRNmsw3AQAwByGmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muAkAFjDcREvSIFE0YJRsOWQ0dtw0+BRtAwAAhpskSZLa7X/6gVfd97PaNz7/n52+6fteCsCN++xn/ODDn/vPvYd7AEAf3AMAgFZ89jN+4OGfRe7980nDTbef4SYAWMBwEy0Z+xeUkmibNUTHygw3AQBwieEmSZKkdvu8Z/7IfT+rAQAAAABcy0c//snP/OmlbjXDTQCwgOEmWnKN4aaX/fyPhsfK0tej7QAAwHCTJElSuxluAgAAAABaYrjp9jPcBAALGG6iJaVBoy3+FaXSMaNtAAAgMdwkSZLUboabAAAAAICWGG66/Qw3AcAChptoTTRglD328Y8Nt1ki7TM6VhZtAwAAieEmSZKkdnvMt/2z+35W+xNf+VwAOvBffcVz3QMAOuUeAAC04r/6int/Jkl+/z/8wWf+9FK3muEmAFjAcBOtKQ0brfmvN13jX4oCAOB2GG6SJElqt2f/k9fd97PaR3/t7adP/OtfB+DG/a3v/nH3AIBOuQcAAK2Ifi75xB/84Wf+9FK3muEmAFjAcBOtSQNF0aDRUBpKiradqjRItdZxAAC4TYabJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa4CQAWMNxEi0pDR8nSwaOaY0TbAQBAZrhJkiSp3Qw3AfTLwnaAfrkHAACtMNzUZ4abAGABw020qOZfb0rS46Ltx6ShqD2GpwAAuH2GmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muAkAFjDcRKtqBpCS9LiaIac0rFQ7NJX2Ge0DAACGDDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguImWRYNHJWkw6Vz0uDH+1SYAAGoYbpIkSWo3w00A/bKwHaBf7gEAQCsMN/WZ4SYAWMBwEy1LQ0bR8NGWDDYBAFDLcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGm2jdngNOBpsAAJjCcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmziKxz7+seFA0loMNgEAMJXhJkmSpHYz3ATQLwvbAfrlHgAAtMJwU58ZbgKABQw3cSTPes63rT7klPZnsAkAgDkMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcBMALGC4iSNaY8gp7cNQEwAASxhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhJgBYwHATR5eGlPKw06WBp/Tf8+MMNAEAsBbDTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MNwHAAoabAAAA5jHcJEmS1G6GmwD6ZWE7QL/cAwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+WdgO0C/3AACgFYab+sxwEwAsYLgJAABgHsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcBAALGG4CAACYx3CTJElSuxluAuiXhe0A/XIPAABaYbipzww3AcAChpsAAADmMdwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmwAAAOYx3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw00AsIDhJgAAgHkMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MNwHAAoabAAAA5jHcJEmS1G6GmwD6ZWE7QL/cAwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+WdgO0C/3AACgFYab+sxwEwAsYLgJAABgHsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcBAALGG4CAACYx3CTJElSuxluAuiXhe0A/XIPAABaYbipzww3AcAChpsAAADmMdwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmwAAAOYx3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw00AsIDhJgAAgHkMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MNwHAAoabAAAA5jHcJEmS1G6GmwD6ZWE7QL/cAwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+WdgO0C/3AACgFYab+qyb4aZv+Sf/39P/+8HXA8Cq/i/f+P333G/S/44eBwAAwL3Sn9cNf59KDDdJkiS1keEmgH5Z2A7QL/cAAKAVhpv67CaHm77jZW+8780MAAAAALQt/bmeJEmSrp/hJoB+WdgO0C/3AACgFYab+sxwEwAAAADQBMNNkiRJbWS4CaBft7qw/Rf/2Y+c/p/P/FunL/lzf+70WZ/1WfdJ/z1Jj0mPjfYBcOsMNwEArTDc1GeGmwAAAACAJhhukiRJaqMjDDelxefR4vQaeQF7XsRuITvAo25pYXv6bE+f9dG9oEbaNtovwK26hXtA+uyPPtNrRPsDAK7DcFOfGW4CAAAAAJpguEmSJKmNbn24aUweeIqOCdCD3he2R9K9wRAs0INbuAdEn+O1ov0BANdhuKnPbnK4KZUWQgz9y1/9dwCwuh99/W/cc79J/zt6HAAAAPcb/j6VSJIkqY16Hm4a8i92AD06+sL2Jf9SU4n7AnDrjn4PWPo7QrRPAOA6DDf12c0ON0mSJEmSJEmSJEmSpme46V7+JSegJ0dd2L72v9Z0iQEn4JYdebhpjftAtF8A4DoMN/WZ4SZJkiRJkiRJkiRJ0l2Gm+5nMTvQiyMubN9rsGkoHTM6F4AjO/Jw0xr/cl+0XwDgOgw39ZnhJkmSJEmSJEmSJEnSXYabYgacgB4cbWH7NQabMgNOwK056nDTWveCaN8AwHUYbuozw02SJEmSJEmSJEmSpLsMN11mwAm4dUdb2D71X+pI949oKCn9t/S1KftzTwBuzRGHm9Ycco32DwBch+GmPjPcJEmSJEmSJEmSJEm66xaGmy79axrpv+cF7FMXsWdpu2jfALfgSAvbS/eCoUv3hciU+4MBJ+CWHHG4aYrSfSPaBgC4DsNNfWa4SZIkSZIkSZIkSZJ01y0PN10yZSF7Eu0D4BYcZWF7+pyPPp/PLRk+qr0vTL3nALTKcFO8HQCwP8NNfWa4SZIkSZIkSZIkSZJ0V4/DTVnarmYxu3+pA7hVR1nYXroPJGt8Vu91HIAWGG6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7up5uCmrGXCKtgM4uqMsbI8+l4fWHDiquSek+1K0LcCRGG6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7jLc9GmlxewWsgO36AgL20v3gCTabonSPWHNYSqAazHcFG8HAOzPcFOfGW6SJEmSJEmSJEmSJN1luOlR0b4zC9mBW3SEhe3RZ/LQWveAobTP6FhD0XYAR2K4Kd4OANif4aY+M9wkSZIkSZIkSZIkSbrLcNOjLIAEetP6wvZrDhmV/vWmLYaqAPZkuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvaL9Z+k8om0Ajurow01bfi6X7j3uCcDRGW6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7jLcdK+xf6nDQnbg1rS+sH3Pz/9IdMzMPQE4OsNN8XYAwP4MN/WZ4SZJkiRJkiRJkiRJ0l2Gm+41NtyUvhZtA3BUrS9sH/tMTqJt1uSeANwyw03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXYab7jV2LAvZgVvT+sL29Jk8JtpmTYabgFtmuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvcaOZSE7cGtufWH7UoabgFtmuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvQw3AT0x3DQuuhdk6X4RbQNwFIab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLsMN91r7FgWsgO3xnDTuOhekLknAEdnuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvaL9ZxayA7fGcNNl6d4S3QuyNe89ANdguCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DToyxkB3pjuOmy6D4w5J4AHJ3hpng7AGB/hpv6zHCTJEmSJEmSJEmSJOkuw02P2nsBZDrvJB33S/7cnwuPmf57kh4T7WNvY+d7zXNt/Voe8bWmD4abYun7Nfo+HYq2AzgSw03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXYabHhXtO1tz4KT0fMasMfxSWrQfXc8555zOda3X5pJrX8uS1s8PDDfF0vdf9H2Z+d4EboHhpng7AGB/hpv6zHCTJEmSJEmSJEmSJOkuw02fVlrIvsYxSkNFUywZHCqdx3C/a5xzOtfh8dfQyrW8pPXzg8xw0/1qvn99TwK3wHBTvB0AsD/DTX1muEmSJEmSJEmSJEmSdJfhpvJgUxJtN0XNMeaYMzhUWrifr2fNAv9ac87zkpauZaT184Mhw033qvnc8682AbfCcFO8HQCwP8NNfWa4SZIkSZIkSZIkSZJ0V8/DTWm7mkGUuftP1hwQumTq0EvpnNLXtzjvpcM5LV7LodbPDyKGm+619T0BoCWGm+LtAID9GW7qM8NNkiRJkiRJkiRJkqS7ehxuSo+vWcCetD7skk05z9J5bXneU1+rrNVrmbV+fnCJ4aZH1dwX/KtNwC0x3BRvBwDsz3BTnxlukiRJkiRJkiRJkiTddcvDTem/Z2kfNQvXz0X7rTX1eOkch9L2U/aRHhudx7mlgzj5vKaeX1J7juemHmeva5m1fn5wieGmT6v9XIy2BTgqw03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXbcw3LSVtNg9Op8ateechlRqjlO7v5p9zRluSseP9jVUO5xTs6+hlq9l0vr5wRjDTfWfib7ngFtjuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3BTbMki9q0WyqfHlwaI0tejbYdqzy+p2d9Qzb6n7PNWruW1zg9Keh9u2up7GOAIDDfF2wEA+zPc1GeGmyRJkiRJkiRJkiRJdxluulcaGFm6iL00lJIsOUZp/+l6RdtltYv55w7P1Ow/2i7S+rVs/fygpPfhpprv4fSYaFuAozPcFG8HAOzPcFOfGW6SJEmSJEmSJEmSJN1luOlRS4ZQsprBnjWOE+03Ky3ErznHZMuhnGibc61fy9bPD2r0PNxU+pxKfI8Bt8xwU7wdALA/w019ZrhJkiRJkiRJkiRJknSX4aZ1//Wb0rmudawlizVrhnKWnuca12GNfdQoHSfaJmn9/KBGr8NNpe+rLNoW4FYYboq3AwD2Z7ipzww3SZIkSZIkSZIkSZLu6nG4Ke0vWeNf1TkXHW8o2mausX91pPV/cShd/2iboWi7oWibueZcy+ixQ9E2c819raGkx+Gmms/AZIt7BEBLDDfF2wEA+zPc1GeGmyRJkiRJkiRJkiRJd93CcFMeVkrGhkCyrRaslxbMp/OLtptr7LqMDbzULOyPtpsq2m9WuhatX8ujvNZQ0ttwU83nX5IeF20PcEsMN8XbAQD7M9zUZ4abJEmSJEmSJEmSJEl33cJw0/ki9JoBp+Hj13KNBZTRcbLo8clegzljr0NpIKf1a3mU1xpKehtuir5/zq31GQjQOsNN8XYAwP4MN/WZ4SZJkiRJkiRJkiRJ0l23ONyURI8b2uJfuykNVUXbLBUdJ7v0L48cYbip9Wt5lNcaSnoabip93yalzyaAW2K4Kd4OANif4aY+M9wkSZIkSZIkSZIkSbrrVoebSgM8yVpDPFl0jKG0aH5t0XGyS8/vCMNN0TZDw2uwlug42fk1iR4zFO1/qeg42drvZfrRy3BT6XsoSY+JtgW4VYab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLtudbgpqVnMvua/eBPt/5ouDbyUhpvWuiZj1780RBBtc01Th5v2ZriJuXoYbip95mVr3g8AjsBwU7wdALA/w019ZrhJkiRJkiRJkiRJknTXLQ83JdHjh9b6lzpqF8/v6dJzK53rWgv85w43tX4tj/RaQ8mtL2yv/X5d63MP4EgMN8XbAQD7M9zUZ4abJEmSJEmSJEmSJEl33fpwU83C9jUGQ4408FI617UW+afjR/tPxq5569fySK81lNz6wvbo++Wcf/kM6JXhpng7AGB/hpv6zHCTJEmSJEmSJEmSJOmuWx9uSsaGbLKlAz1HGngpnevSa5GNXfexYZzWr+WRXmsoueWF7WOfQZnvHaBnhpvi7QCA/Rlu6jPDTZIkSZIkSZIkSZKku3oYbkpqFrlH29U60sBL6VxrrmeNsWs+NlDQ+rU80msNJbe6sH3s8yfzfQP0znBTvB0AsD/DTX1muEmSJEmSJEmSJEmSdFcvw001AylLFrqX9l9zjnvZ61zHhgvGrnXr17L184MpbnFhe+l7NPO9CvTOcFO8HQCwP8NNfWa4SZIkSZIkSZIkSZJ0Vy/DTUlpP0l6TLRtjWh/2ZL9rm2v4Zy5w01JtE3WwrWMzitr6bWGkltb2G6wCaCe4aZ4OwBgf4ab+sxwkyRJkiRJkiRJkiTprp6Gm5KxgZts7qL3aF+Z4aZ7GW6CNtzSwvbSZ1u21mccwNEZboq3AwD2Z7ipzww3SZIkSZIkSZIkSZLu6m24KYn2cS7armTJMM+ejjDc1Pq1bP38oNYtLWwf+77MfH8CPMpwU7wdALA/w019ZrhJkiRJkiRJkiRJknRXj8NNpeGeZM4C+NLC+mibazj6cFMSbbOno7zWUHIrC9tL35NJ6XMHoDeGm+LtAID9GW7qM8NNkiRJkiRJkiRJkqS7ehxuSmoWwqfjRtteUjrPqfurlZ7LlH0fYbip9WvZ+vlBrVtY2F76fsyibQF6Zrgp3g4A2J/hpj4z3CRJkiRJkiRJkiRJuqvX4aYk2te5qfuO9jEUbbPE8NqkwZea8z3CcFMSbTcUbbPE1Gs5PJdItM0Sc15rKDn6wvbS51nm+wXgfoab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLt6Hm6qWRRfM4QzNDbQk0zd35hL5186Rul5rzUEMHYtaq5D69ey9fODGkde2F76LMvW+kwDuDWGm+LtAID9GW7qM8NNkiRJkiRJkiRJkqS7eh5uSkoDKsmUAZKaxfZrLLSvOU66bnO2XeP8krFrW3NNW7+WrZ8f1Djywvboe+Gc7w2Ayww3xdsBAPsz3NRnhpskSZIkSZIkSZIkSXf1PtyU1Aw4TTnG2vs7VzPsklw6Rmn7Jec2tHS4KWn9WrZ+flBy1IXtNd97tZ8zAL0y3BRvBwDsz3BTnxlukiRJkiRJkiRJkiTdZbipfoAk2jZSu785C+9L1yIbuyal81t6PbOx4YPa5370a5ld6/yg5IgL28c+W4aibQF4lOGmeDsAYH+Gm/rMcJMkSZIkSZIkSZIk6S7DTZ9WM0gyZUCldjAlSY+N9pGl5zdlf6XzLA3krDUsMzaAcCvXMmn9/GDM0Ra2lz6/9uT7Dzg6w03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXYabHjU2jJOVhlOGavZ3Lm0zFD1mTNomOpeh0nDAHtez5jyH5l6LoegxY9I20blE5u5/KHrMmLRNdC4wxZEWtrc02JT4HgSOznBTvB0AsD/DTX1muEmSJEmSJEmSJEmSdJfhpntF+z835Xhzhlbmql1of8ThpqTFaznU+vlB5CgL21sbbEp8HwJHZ7gp3g4A2J/hpj4z3CRJkiRJkiRJkiRJustw071qFtBPXdC+x9DLlHM66nBT0tq1PNf6+cG5oyxs3+N7ayrfi8DRGW6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7jLcdL+aRfRTF7VvuTB/6vM/8nBT0tK1jLR+fjB0hIXtW35PLbHkcwygBYab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLsMN8Wi45ybetz0+DUX6afrMue5p22i/WVrXc+x57p0KKCVa3lJ6+cHWesL29P7PvqeaMHSzzGAazPcFG8HAOzPcFOfGW6SJEmSJEmSJEmSJN1luClWu6B+zrHTNksGX5YOupSe25J9D409x7WGAq59LUtaPz9oeWF7eu9H3xetWOtzDOBaDDfF2wEA+zPc1GeGmyRJkiRJkiRJkiRJdx1huOmWpUWXydgATH6MIZdxrV/L1s+PPt36wnYALnMPAABaYbipzww3SZIkSZIkSZIkSZLuMtwE0C8L2wH65R4AALTCcFOfGW6SJEmSJEmSJEmSJN1luAmgXxa2A/TLPQAAaIXhpj4z3CRJkiRJkiRJkiRJustwE0C/LGwH6Jd7AADQCsNNfWa4SZIkSZIkSZIkSZJ0l+EmgH5Z2A7QL/cAAKAVhpv6zHCTJEmSJEmSJEmSJOkuw00A/bKwHaBf7gEAQCsMN/WZ4SZJkiRJkiRJkiRJ0l2GmwD6ZWE7QL/cAwCAVhhu6jPDTZIkSZIkSZIkSZKkuww3AfTLwnaAfrkHAACtMNzUZ4abJEmSJEmSJEmSJEl3GW4C6JeF7QD9cg8AAFphuKnPDDdJkiRJkiRJkiRJku4y3ATQLwvbAfrlHgAAtMJwU58ZbpIkSZIkSZIkSZIk3WW4CaBfFrYD9Ms9AABoheGmPjPcJEmSJEmSJEmSJEm6y3ATQL8sbAfol3sAANAKw019ZrhJkiRJkiRJkiRJknSX4SaAflnYDtAv9wAAoBWGm/rMcJMkSZIkSZIkSZIk6S7DTQD9srAdoF/uAQBAKww39ZnhJkmSJEmSJEmSJEnSXYabAPplYTtAv9wDAIBWGG7qM8NNkiRJkiRJkiRJkqS7DDcB9MvCdoB+uQcAAK0w3NRnhpskSZIkSZIkSZIkSXcZbgLol4XtAP1yDwAAWmG4qc8MN0mSJEmSJEmSJEmS7jLcBNAvC9sB+uUeAAC0wnBTnxlukiRJkiRJkiRJkiTdZbgJoF8WtgP0yz0AAGiF4aY+M9wkSZIkSZIkSZIkSbrLcBNAvyxsB+iXewAA0ArDTX1muEmSJEmSJEmSJEmSdJfhJoB+WdgO0C/3AACgFYab+sxwkyRJkiRJkiRJkiTpLsNNAP2ysB2gX+4BAEArDDf1meEmSZIkSZIkSZIkSdJdhpsA+mVhO0C/3AMAgFYYbuozw02SJEmSJEmSJEmSpLsMNwH0y8J2gH65BwAArTDc1GeGmyRJkiRJkiRJkiRJdxluAuiXhe0A/XIPAABaYbipzww3SZIkSZIkSZIkSZLuMtwE0C8L2wH65R4AALTCcFOfGW6SJEmSJEmSJEmSJN1luAmgXxa2A/TLPQAAaIXhpj4z3CRJkiRJkiRJkiRJustwE0C/LGwH6Jd7AADQCsNNfWa4SZIkSZIkSZIkSZJ0l+EmgH5Z2A7QL/cAAKAVhpv6zHCTJEmSJEmSJEmSJOkuw00A/bKwHaBf7gEAQCsMN/WZ4SZJkiRJkiRJkiRJ0l2GmwD6ZWE7QL/cAwCAVhhu6jPDTZIkSZIkSZIkSZKkuww3AfTLwnaAfrkHAACtMNzUZ4abJEmSJEmSJEmSJEl3GW4C6JeF7QD9cg8AAFphuKnPDDdJkiRJkiRJkiRJku4y3ATQLwvbAfrlHgAAtMJwU58ZbpIkSZIkSZIkSZIk3WW4CaBfFrYD9Ms9AABoheGmPjPcJEmSJEmSJEmSJEm6y3ATQL8sbAfol3sAANAKw019ZrhJkiRJkiRJkiRJknSX4SaAflnYDtAv9wAAoBWGm/rMcJMkSZIkSZIkSZIk6S7DTQD9srAdoF/uAQBAKww39ZnhJkmSJEmSJEmSJEnSXYabAPplYTtAv9wDAIBWGG7qM8NNkiRJkiRJkiRJkqS7DDcB9MvCdoB+uQcAAK0w3NRnhpskSZIkSZIkSZIkSXcZbgLol4XtAP1yDwAAWmG4qc8MN0mSJEmSJEmSJEmS7jLcBNAvC9sB+uUeAAC0wnBTnxlukiRJkiRJkiRJkiTdZbgJoF8WtgP0yz0AAGiF4aY+M9wkSZIkSZIkSZIkSbrLcBNAvyxsB+iXewAA0ArDTX1muEmSJEmSJEmSJEmSdJfhJoB+WdgO0C/3AACgFYab+sxwkyRJkiRJkiRJkiTpLsNNAP2ysB2gX+4BAEArDDf1meEmSZIkSZIkSZIkSdJdhpsA+mVhO0C/3AMAgFYYbuozw02SJEmSJEmSJEmSpLsMNwH0y8J2gH65BwAArTDc1GeGmyRJkiRJkiRJkiRJdxluAuiXhe0A/XIPAABaYbipzww3SZIkSZIkSZIkSZLuesp3/8x9iwe+9Jn/2+mJ3/YSAG7cf/v1LwjuAfFjAbgt7gEAQCv+279y/88lhptuP8NNkiRJkiRJkiRJkqS7Pu+ZP3Lf4gEAAAAAgGv56Mc/+Zk/vdStZrhJkiRJkiRJkiRJknSX4SYAAAAAoCWGm24/w02SJEmSJEmSJEmSpLsMNwEAAAAALTHcdPsZbpIkSZIkSZIkSZIk3fUl/+Dl9y0e+D99wwtO/81TAbh1//XXPD+4B/yj8LEA3Bb3AACgFf/113zPfT+XfOIP/vAzf3qpW81wkyRJkiRJkiRJkiTprmf/k9fdt3jgHR955+k9H/83ANy4b3zxT7gHAHTqFu8B7/7YO0/v/PVfPL3tlf/s9NYX/b9Ob/z733p6w9/8n04PPv3rTq/72q8+/dKTv/z0i0983Ok1X/j5p5//3D/9iPR/p/+WvpYekx6btknbpn2kfaV9pn1HxwQAlot+LjHcdPsZbpIkSZIkSZIkSZIk3WW4CaBfhpsA+nX0e8C/+e1fPb3tFT9y+t+/6/9++uVnPPX02q/80tPP/+k/ual0jHSsdMx07HQO0bkBANMYbuozw02SJEmSJEmSJEmSpLsMNwH0y3ATQL+Odg9494ffcXr7q192evNz//7pdQ98VTh8dA3pXNI5pXNL5xidOwAwznBTnxlukiRJkiRJkiRJkiTdZbgJoF+GmwD6dYR7wG+87y2nX/3h7z29/uv/r+FgUYvSuaZz/o3f/JXwOQEA9zPc1GeGmyRJkiRJkiRJkiRJdxluAuiX4SaAfrV8D3jbT//w6Q3f+tfC4aEjSc/h137qJeFzBAAeZbipzww3SZIkSZIkSZIkSZLuMtwE0C/DTQD9au0e8K8e/MnTm779mafXfMGfDQeFjiw9p/Tc0nOMnjsA9M5wU58ZbpIkSZIkSZIkSZIk3WW4CaBfhpsA+tXKPeAdv/AvTg8+7evCoaBb9ODTvvb09tf8i/BaAECvDDf1meEmSZIkSZIkSZIkSdJdhpsA+mW4CaBf174HvP2V/+z0+qf+38IBoB6k556uQXRtAKA3hpv6zHCTJEmSJEmSJEmSJOkuw00A/TLcBNCva90D3vZT//j0ur/85HDgp0eve+DJj1yT6FoBQC8MN/WZ4SZJkiRJkiRJkvT/Z+9ef2e57wLP+8E83gcrzZ+AVqsdxMJwSaJgiLIGhwQpYdiBDI4UJTiZDQohgqwgIVlWmrETLittwN4di3gNxAmQBOREA3aOL8cXbBOf40uOL0ErVsPygLVA4smMRponvf7a6XJ3/z51+VbX/ft6SW+J8emuqq6qrmrH9ZkDABXDTZJUboabJKncpr4HPPfk13aXP3BTOOCjf/bqvkn7KNp3kiRtPcNNZTLcBAAAAAAAAEDFcJMklZvhJkkqt8nuAX9/bff4pz8eDvToYmlfpX0W7ktJkjaa4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJXbFPeAK1+6Y3fpxreEQzyqL+2ztO+ifSpJ0hYz3FQmw00AAAAAAAAAVAw3SVK5GW6SpHIb8x7w/F89snv4594bDu6oe2kfpn0Z7WNJkraU4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJXbWPeAq1+9a/f1H35TOKyj/C695U2v7tNoX0uStJUMN5XJcBMAAAAAAAAAFcNNklRuhpskqdzGuAc88ZufCgd0puze7/2u3f3vfNvu4Z9//+6Jz/zq7soXb989c98Xds899qe7bz597+7ai5d3L/yHJ3cvvfzcq6X/+/mXHt598+q9r74mvTa9J703LSMtKy0zWteUpX0b7XNJkraQ4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJXbkPeA57/18O7yB24Kh3LG7tLb/4fdY5/4yO7ql+7YXbv2QLh9Q5SWndaR1pXWGW3L2KV9nPZ1tH2SJK05w01lMtwEAAAAAAAAQMVwkySVm+EmSSq3oe4BV++5c3ff9W8Mh3HG6N7v/+7do//zh3ZX7r5td+2Fh8JtmqK07rQNaVvSNkXbOkZf/6E3vbrPo22SJGmtGW4qk+EmAAAAAAAAACqGmySp3Aw3SVK5DXEPeOr3PxsO4IzR5Ztv2l354m27l15+NtyWOUvblLYtbWO07WOU9n20LZIkrTHDTWUy3AQAAAAAAABAxXCTJJWb4SZJKrdz7wFP3nZLOHQzZJfeccMr67l19/xLl8NtWGJpW//ylW1O2x59piFL+ybaBkmS1pbhpjIZbgIAAAAAAACgYrhJksrNcJMklds594Anfv0T4bDNUD3wE2/fPXX374TrXlPpM6TPEn3GoUrHIlq3JElrynBTmQw3AQAAAAAAAFAx3CRJ5Wa4SZLKre894LFP/kI4ZDNED777nburX74jXO+aS58pfbboMw9ROibReiVJWkuGm8pkuAkAAAAAAACAiuEmSSo3w02SVG597gGP/MLPhsM153bphut3V/7w9nCdWyp9xvRZo31wbunYROuUJGkNGW4qk+EmAAAAAAAAACqGmySp3Aw3SVK55d4Dxvobmx6/5Zd3L738bLjOLZY+a/rM0b44N3+DkyRprRluKpPhJgAAAAAAAAAqhpskqdwMN0lSueXcA5749U+EwzTndPl9P7177vF7wvWVUPrsaR9E++ac0rGK1idJ0pIz3FQmw00AAAAAAAAAVAw3SVK5GW6SpHLreg948rZbwyGac3rytlsurKfU0r6I9tE52b+SpLVluKlMhpsAAAAAAAAAqBhukqRyM9wkSeXW5R7w1O9/Nhye6dult71198z9f3S0Dr346j5J+ybaZ31Lxy5alyRJS8xwU5kMNwEAAAAAAABQMdwkSeVmuEmSyq3tHnD1njvDoZm+PfLRm3cv/u2Vo23Q66V9k/ZRtO/6lo5htC5JkpaW4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJVb0z3ghW89vLvv+jeGAzN9uvzB91xYv+LSvor2YZ/SMXz+lWMZrUeSpCVluKlMhpsAAAAAAAAAqBhukqRyM9wkSeXWdA+4/IGbwmGZPj31+d++sG41940/+Gy4L/uUjmW0DkmSlpThpjIZbgIAAAAAAACgYrhJksrNcJMklVvdPeDx3/hkOCST273f/Z27p++5M1y32kv7Lu3DaN/m9sRvfipchyRJS8lwU5kMNwEAAAAAAABQMdwkSeVmuEmSyi26BzzxlTvD4Zjc7rv+DbtnHvjjcL3q3rOv7MO0L6N9nNvVr94VrkOSpCVkuKlMhpsAAAAAAAAAqBhukqRyM9wkSeV2eg/4pzf+6u6+H3pjOBiTUxrGufLlO8J1Kr+0L4cYcPr6D79p9/xfPRKuQ5KkuTPcVCbDTQAAAAAAAABUDDdJUrkZbpKkcju9B3zqDTeGQzE53fvd3/nq3zYUrU/9S38LVtq30T7P6eGfe2+4fEmS5s5wU5kMNwEAAAAAAABQMdykNfZLv/aLu+uuu6626D2SLma4SZLK7fAe8Ja3fDAchsnt6XvuDNel80v7NtrnuV35kr9VS5K0vAw3lclwEwAAAAAAAAAVw01aY4abpGEy3CRJ5ba/B/yTt//b3V3//AfCQZicvvEHn72wDg3bU5//7XDf53TpxrfsvvX37vWSpGVluKlMhpsAAAAAAAAAqBhu0hoz3CQNk+EmSSq3/T3g/W/+l+EQTE6XP/iecB0avrSvo2OQ0+Of/ni4bEmS5spwU5kMNwEAAAAAAABQMdykNWa4SRomw02SVG7pHvAdP/JL4fBLTo989OZw+RqvR1/Z59GxyOm5J78WLluSpDky3FQmw00AAAAAAAAAVAw3aY0ZbpKGyXCTJJVbugf8mzf8SDj40rVLb3vr7sW/vRIuX+P14v/71O7Sj701PCZdu/yBm8JlS5I0R4abymS4CQAAAAAAAICK4SatMcNN0jAZbpKkcvu1X/xUOPSS0zP3/1G4bI1f2vfRMcnp6lfuCJctSdLUGW4qk+EmAAAAAAAAACpLH266+88//2rRn6ncDDdJw2S4SZLK7e4fuTEceOnak7fdEi5X0/WXt90aHpuuPfiv3hUuV5KkqTPcVCbDTQAAAAAAAABU1jDclIZVDDjpMMNN0jAZbpKkMnv6a78XDrt07fL7fjpcrqYvHYvoGHUtnQvRciVJmjLDTWUy3AQAAAAAAABAZS3DTSkDTtpnuEkapq0ON6X7RbpOvPmtbw6vEemfp9Jr3FskldhD7/2pcNCla889fk+43CXU5R6Q/jwVvX9tpWMRHaOupXMhWq4kSVNmuKlMhpsAAAAAAAAAqKxpuCm1pofQT7f9tK08UDlHad9F+3Rf9B5JF9vScFO65tY9yN6l9N5ouZK0tZ6+7wvhkEvXHr/ll8Plztl+oCm6vre1het/OibRseraM1//QrhcSZKmynBTmQw3AQAAAAAAAFBZ23BTKnrdEjPcNF6Gm6Rh2sJwU9u1Nrf0kHtaZrQuSdpCl2/+mXDApUuXbrh+99LLz4bLnau+Q02nrfm3eTom6dhEx6xLl2++KVyuJElTZbipTIabAAAAAAAAAKiscbhpLf+/qxtuGi/DTdIwrX246Zy/qaktf5OTpC327OUvh8MtXbvyh7eHy52j9Ft76PvAmq/96dhEx6xr6dyIlitJ0hQZbiqT4SYAAAAAAAAAKmscblrLg4eGm8bLcJM0TGsdbmq7vg6VASdJW+uxT340HGzp0oPvfme4zDka+z6Qlh+td+mlYxQduy6lcyNapiRJU2S4qUyGmwAAAAAAAACorHW4KbX0h84NN42X4SZpmNY43DTVYNNha33IXZJOu+8HfyAcbOnS1S/fES5z6qa6D6zx2p+OUXTsupTOjWiZkiRNkeGmMhluAgAAAAAAAKCy5uGm1JIHnNq23XBT/ww3ScO0tuGmqR5oj1rjQ+6SdNiVr/xuONTSpQd+4u3hMqeuz30g/fvCYdFr6lrjtT8dq+gYdunqn3wuXKYkSWNnuKlMhpsAAAAAAAAAqKx9uCm11AGntm033NQ/w03SMK1tuCn3ofR0rYgeTE//LP1ZzvKWeq+RpK498uH3hQMtXXrq7t8Jlzl1Xa/bddf/fW2/Jfet8dqfjlV0DLuUzpFomZIkjZ3hpjIZbgIAAAAAAACgsoXhptQSHzw03DRebQ+kRu+RdLE1DTd1fRA91fRA+2lpuV0fljfgJGmtvfDXT4TDLF269I4bwmVOXZdrde51eoxlLqF0zKJj2aV0rkTLlCRpzAw3lclwEwAAAAAAAACVrQw3pZb24KHhpvEy3CQN01qGm6YYdO3ygHsqZ3BKkpbSNz73W+EgS5eevO3WcJlT1uU+0Pce0OX6v7Zrfzpm0bHsUjpXomVKkjRmhpvKZLgJAAAAAAAAgMqWhptSSxpwatt2w039M9wkDdNahpvavvOpIa7/U61Hkqbuoff8ZDjI0qXnX7ocLnPKouvxYedem9sGnNZ27U/HLDqWXUrnSrRMSZLGzHBTmQw3AQAAAAAAAFDZ2nBTaikPHxpuGi/DTdIwrWW4KfqeHzbkdb/tAfeU67ekNfXS3z0TDrF06fLNN4XLnLK239RD3QParv9ru/anYxcd0y6lcyZapiRJY2W4qUyGmwAAAAAAAACobHG4KbWEhw8NN42X4SZpmNYw3NT2fU9F7zuntgfchxymkqSxe/reu8MBli5d+eJt4TKnLLoOH5Z+c0fvy22qIaqpSscuOqZdSudMtExJksbKcFOZDDcBAAAAAAAAUNnqcFNqqAcd+2a4abwMN0nDtIbhpug7ftgY1/ou957ofZK0xB7/9MfDAZa27v2+79m99PKz4TKnaurf01v625vSsUvHMDq2baVzJlqmJEljZbipTIabAAAAAAAAAKhsebgpNcZD712b+mHMkjLcJA3T0oeb5hwyanvAfc77iyTl9OC73xkOsLT16Mc+FC5vyqLr72HRe84tWs++tf3tTekYRse2rXTORMuTJGmsDDeVyXATAAAAAAAAAJWtDzel5noA3XDTeBlukoZp7cNNY15H264zruGS1tCLf/ONcHilS1fuvi1c5lTNdQ/Y0u/MdAyjY9uldO5Ey5QkaYwMN5XJcBMAAAAAAAAAlRKGm1JzDDgZbhqvLT10Ks3Z0oeb2r7rY1/bo3Xucw2XtIaufvWucHClS9deeChc5lTNeQ+I1rdvTdf/dAyjY9uldO5Ey5QkaYwMN5XJcBMAAAAAAAAAlbUPN735rW8O/3nU1ANOhpvGq+1h1+g9ki629OGmtmt89J4ha1p/+rPoPZK0pP7ill8JB1fauv8dN4TLm7Lo2rtv7Gvwlq7/6VhGx7itdO5Ey5MkaYwMN5XJcBMAAAAAAAAAlbUPN6Uhl7bXHDblgJPhpvEy3CQN0xr+5qamovcMmeEmSWvv4Q+9NxxcaeuxT3wkXN5Utf2OHvs3fbrHROvdF71nqaVjGR3jttK5Ey1PkqQxMtxUJsNNAAAAAAAAAFS2MNzU5XWHjf0w5L6u2678tvTAqTRnSx9umjvDTZLW3v0/3u9v7bn6pTvC5U1V22+9KX7PR+vdt6bf8Vf++N+Fx7itdO5Ey5MkaYwMN5XJcBMAAAAAAAAAla0MN3V57WFTPBBpuGm8DDdJw2S4qbno+rLPNVzS0nvpH66FQytdev75B8NlTlXTcGkqes/QbWXA9dq1B8Jj3KV0DkXLlCRp6Aw3lclwEwAAAAAAAACVLQ03dXn9YWMPOBluGi/DTdIwGW5qLrq+7HMNl7T0rj13KRxYaeve7/2ucHlTFl139011/d3S7810TKNj3VY6h6LlSZI0dIabymS4CQAAAAAAAIDK1oaburznsNP3DpnhpvHa0sOm0pwZbqqv7Rqe/jx6nyQtpatf+71wYKWt+995Y7i8qVrK9XdLvzfvf+fbwmPdVjqHouVJkjR0hpvKZLgJAAAAAAAAgMoWh5u6vG/fm9/65vD9Q9R329We4SZpmAw31RddWw6b6uF6SerbX95+aziw0tbDP//+cHlT1fYbesrrb7T+fWv6LZ+OaXSs20rnULQ8SZKGznBTmQw3AQAAAAAAAFDZ6nBTqu29+8YacDpn2/uU1pdKy02fKVpn+uepOR7G3G9bqm7b9n8evf+wumXsi94j6WKGm+K63D+i90nSknr04x8OB1baeuIzvxoub6qW9DsvWv++Lr9Zl1I6ptGxbiudQ9HyJEkaOsNNZTLcBAAAAAAAAEBly8NNqbaHI/eNMeB07rZ3retnjJpi0KnLkEBU03a1feboPZIuZrgpLl0bo2vLvrGvm5I0RI985GfDgZW2rnzx9nB5U9V0DR7jN3tTS9qWc0rHNDrWbaVzKFqeJElDZ7ipTIabAAAAAAAAAKhsfbgp1faQ+r6hH1Ace7ip79BQVPrsaXnRevqWltd13zcVbZfhJmmYDDddrMu1dejrpSSN0eUP3BQOrLT1zH1fCJc3VdF1d9/Uw6VNv2WH/neHMUvHNDrWbaVzKFqeJElDZ7ipTIabAAAAAAAAAKiUMNyU6jpkM+RDikNte9QQQ0NRQ33+tuGj3E63y3CTNEyGm47rMtg09YP1ktS3B3/mX4QDK20999ifhsubqujau2/qa/BWfnOmYxod67bSORQtT5KkoTPcVCbDTQAAAAAAAABUShluSk094DTGcFOXB+/P7dzP33U/53a4XVt50FSaO8NNx3W5fqXrcPReSVpaD7zrx8KBlba+efXecHlTFV179xlu6tc3n743PNZtpXMoWp4kSUNnuKlMhpsAAAAAAAAAXhE9vCVJkiRJ0pb6s+CfSZKkdfR//5+3f/t/zd4ew00AAAAAAAAAr4j+Y7EkSZIkSZIkSUvIcBMAAAAAAADAxkX/sViSJEmStpC/rUfn5hySJGn+DDcBAAAAAAAAbFz0H4slSZIkaQsZTNG5OYckSZo/w00AAAAAAAAAGxf9x2JJkiRJKrrvCv6ZJEmSZslwEwAAAAAAAMDGRf+xWJIkSZLK7r8L/pkkSZLmyHATAAAAAAAAwMZF/7FYkiRJkjaRv4FJ5+YckiRp9gw3AQAAAAAAAGxc9B+LJUmSJKnk/iz4Z5IkSZonw00AAAAAAAAAGxf9x2JJkiRJkiRJkpaQ4SYAAAAAAACAjYv+Y7EkSZIkSZIkSUvIcBMAAAAAAADAxkX/sViSJEmSttCfBf9Mysk5JEnS/BluAgAAAAAAANi46D8WS5IkSZIkSZK0hAw3AQAAAAAAAGxc9B+LJUmSJEmSJElaQoabAAAAAAAAADYu+o/FkiRJkrSF7g3+WZf6vk/LzbkgSdJ6M9wEAAAAAAAAQBE+dueDu+vefutRz/x/13bf+scXF9Hdf/753XXXXVfbL/3aL4bvG7K2bdj35re+Oet9TdvedZ1Tdvj52rYv/fnh5xmjaL37otdLutj7/48vLfoecG7R9eG0Ke4jkjRHL/3DtfAB2S49//yD4TKnKrpe7zv9zT1W6f4QrX9f9J4ldu3aA+Ex7lI6h6JlSpI0dNG/m/7H//xfvv2/XrJVhpsAAAAAAAAAqBhu6lbXYaOcASDDTecVrXdf9HpJF9vycFO6ZkXXh8OmekBekubq/h+/IRxaaevKl+4IlzdVTdfwqa7d0br3rWkw9sof/7vwGLeVzp1oeZIkjZHhpjIZbgIAAAAAAACgYripe10elE/tH7g03HTxcw1ZtN590eslXWyrw01drtdTPRwvSXP28IfeGw6utPXYJz4SLm+q0u/k6Nq9L3rPkC3p30HOLR3L6Bi3lc6daHmSJI2R4aYyGW4CAAAAAAAAoGK4Ka+cAadztn0Jw0NtRdu1b+zj0rZ/ovdIutgWh5varg/7lnAdlaSx+4tbfiUcXGnr/nfM/7f2RNfufWP/1kzLj9a7b033kHQso2PcVjp3ouVJkjRGhpvKZLgJAAAAAAAAgIrhpvxyBpyif76vbduj9+yb43OfFm3XvrG3z3CTNExbG24y2CRJx1396l3h4EqXrj3/ULjMqWr6LZ3+LHrPUEXrPCx6zxK79sJD4bHtUjp3omVKkjRGhpvKZLgJAAAAAAAAgIrhpn51HXBqau3DTXM+cJo+f7TefdF7JF1sS8NNBpsk6WIv/s03wsGVLj11923hMqeq7ffeWNfzpf77R5+uvHIMo2PbpXTuRMuUJGmMDDeVyXATAAAAAAAAABXDTf07d8CpbdvnHB7qUtvnj94zVNH6DoveI+liWxpu6nJNXsK1U5Km7sF3vzMcXmnr0Y99KFzelEXX8n1jXdPnGqoao3QMo2PbVjpnouVJkjRWhpvKZLgJAAAAAAAAgIrhpvPq8jB9XecMN6Wi90xZ24OfYx2btnMiFb1P0sW2MtxksEmS6nv80x8PB1jauvf7vmf30svPhsucqql/D7f9zlzTvSQdu3QMo2PbVjpnomVKkjRWhpvKZLgJAAAAAAAAgIrhpvPr8lB9VNu2zzU8lD5P12VH27VvrIc/2/ZLKnqfpIttYbipyzUhFb1Xkkro6XvvDgdYunTli7eFy5yqtmv80L83237Xr+lvbUrHLjqmXUrnTLRMSZLGynBTmQw3AQAAAAAAAFAx3DRMfQacumx79L7Dovec0+EDpOkztT3AOfUDoG3nw77ovZIutvbhpq7XhKGvRZK0pl76u2fCAZYuXb75pnCZUzbV780u95TofUstHbvomHYpnTPRMiVJGivDTWUy3AQAAAAAAABAxXDTcOUOOHXZ9rZlpj+P3tenun3dtI7DYai6ovf1res+jt4r6WJrHm7q8hB6aqiH3iVpzT30np8Mh1i69PxLl8NlTtVUvzej5R62pvtJOmbRsexSOleiZUqSNGaGm8pkuAkAAAAAAACAiuGmYcsZcOqy7V0e3h/iQcsu66nb3ui1hw01gJWzb6P3S7rYmoebou/+aUu7R0jSXH3jc78VDrJ06cnbbg2XOWVtvwPP/b059vKnLh2z6Fh2KZ0r0TIlSRozw01lMtwEAAAAAAAAQMVw0/BF2xnVddu7DPWcM+DUZbApVbeOLts39gOnp0XLkHSxtQ43TXHdkaQt9cJfPxEOsnTp0jtuCJc5ZV1+r/a57qfldrmnnPNbe47SMYuOZZfSuRItU5KkMTPcVCbDTQAAAAAAAABUDDcNX5eHL1Ndt73r8vo80Jm2IVrWaW0PdEbvOS1tX+6Doen1XR44PS1alqSLrXG4qes1IXqvJJXcIx9+XzjM0qWn7v6dcJlT1vX63/X3Ztff2Ev8942m0rGKjmGX0jkSLVOSpLEz3FQmw00AAAAAAAAAVAw3jVOXhyVztr3rEFKqbblp23KW12VoquvDoam0vHO3se3h1miZki62tuGmnGvN2HW5NkrSkrr6J58LB1q69MBPvD1c5tR1HXCq+705xu/gpZWOVXQMu3TlK78bLlOSpLEz3FQmw00AAAAAAAAAVAw3jdfQ2971Yc7D0nsOi17TVHpPtC1RfZd/WPSa09Lr2h5KjbZP0sXWNNy0pMGmVLoWRdspSUvuvh/8gXCopUtXv3xHuMypi67JY5XuPdE2LLV0jKJj16V0bkTLlCRpigw3lclwEwAAAAAAAAAVw03j1rT9fba96wDQEPV5cH/s7dtvk+EmaZjWMty0tMGmlOEmSWvssU9+NBxs6dKD735nuMypm+qesLbBplQ6RtGx61I6N6JlSpI0RYabymS4CQAAAAAAAICK4abxq/sMfbd9igGncx7aH2v7DrfJcJM0TGsZbpriupfbOddJSZqrZy9/ORxs6dqVP7w9XO7UjT3gtMbBpnRsomPWtXRuRMuVJGmKDDeVyXATAAAAAAAAABXDTdMUfY5ztn3MB/2HeJhz6O07HSIw3CQN0xqGm5Y42JQy3CRprV2++aZwuKVLl264fvfSy8+Gy52jsX9zrqV0TNKxiY5Zly7f/DPhciVJmirDTWUy3AQAAAAAAABAxXDTdJ1+lnO3PS1vyAc60/YMMdi0b6jti7bJcJM0TEsfbjq9bi4pw02S1tozX/9COODStcdv+eVwuXPV9ruwa2v694rT0jGJjlXXnr7vC+FyJUmaKsNNZTLcBAAAAAAAAEDFcNO0HX6eobb93CGitB3RANFQpeX32b6m7Up/Fr1nX/QeSRdb8nBT2/V/7gw3SVpzD733p8Ihl6499/g94XLnrO33YV1j/xYeu3QsomPUtXQuRMuVJGnKDDeVyXATAAAAAAAAAJWlDzdtsf0D++lByujPzyktM9U0TLR/zRwPce63rW775touqdSW/jc3SZLG6emv/V446NK1y+/76XC5S2j/W7fuN2f6Z1v6zZmORXSMupbOhWi5kiRNmeGmMhluAgAAAAAAAKBiuGme9g9VRn8mSVNluEmSyu3uH70xHHbp2pO33RIuV9P1l7fdGh6brj347neFy5UkaeoMN5XJcBMAAAAAAAAAFcNN8+VvKJI0d4abJKncfu0XPxUOvOT0zP1/FC5b45f2fXRMcrr6lTvCZUuSNHWGm8pkuAkAAAAAAACAiuEmSSo3w02SVG7pHvBv3vAj4dBL1y697a27F//2Srh8jVfa52nfR8eka5c/cFO4bEmS5shwU5kMNwEAAAAAAABQMdwkSeVmuEmSyi3dA77jR34pHHzJ6ZGP3hwuX+OV9nl0LHJ67smvhcuWJGmODDeVyXATAAAAAAAAABXDTZJUboabJKnc9veA97/5X4bDLzld/uB7wnVo+NK+jo5BTo9/+uPhsiVJmivDTWUy3AQAAAAAAABAxXCTJJWb4SZJKrf9PeCfvP3f7u765z8QDsHk9NTnf/vCOjRs3/iDz4b7PqdLN75l962/d6+XJC0rw01lMtwEAAAAAAAAQMVwkySVm+EmSSq3w3vAW97ywXAQJren77kzXJfOL+3baJ/nduVLd4TLlyRpzgw3lclwEwAAAAAAAAAVw02SVG6GmySp3E7vAZ96w43hMExO9373d+6eeeCPw/Wpf8++sk/Tvo32eU4P/9x7w+VLkjR3hpvKZLgJAAAAAAAAgIrhJkkqN8NNklRup/eAf3rjr+7u+6E3hkMxOd13/Rt2V77sbwcaqrQv0z6N9nVOX//hN+2e/6tHwnVIkjR3hpvKZLgJAAAAAAAAgIrhJkkqN8NNklRu0T3gia/cGQ7G5JaGcdLfNhStV91LfwvWEINNqatfvStchyRJS8hwU5kMNwEAAAAAAABQMdwkSeVmuEmSyq3uHvDEb34qHI7J7d7v/s7d0/fcGa5b7aV9l/ZhtG9ze/w3PhmuQ5KkpWS4qUyGmwAAAAAAAACoGG6SpHIz3CRJ5dZ0D7j8gZvCIZk+feMPPnth3Wruqc//drgv+5SOZbQOSZKWlOGmMhluAgAAAAAAAKBiuEmSys1wkySVW9M94PlvPby77/o3hsMyfbr8wfdcWL/i0r6K9mGf0jF84ZVjGa1HkqQlZbipTIabAAAAAAAAAKgYbpKkcjPcJEnl1nYPuHrPneHATN8e+ejNuxf/9srRNuj10r5J+yjad31LxzBalyRJS8twU5kMNwEAAAAAAABQMdwkSeVmuEmSyq3LPeCp3/9sODTTt0tve+vumfv/6GgdevHVfZL2TbTP+paOXbQuSZKWmOGmMhluAgAAAAAAAKBiuEmSys1wkySVW9d7wJO33RIOz5xTWubpekptnP17a7guSZKWmuGmMhluAgAAAAAAAKBiuEmSys1wkySVW8494Ilf/0Q4RHNOl9/307vnHr8nXF8Jpc+e9kG0b84pHatofZIkLTnDTWUy3AQAAAAAAABAxXCTJJWb4SZJKrfce8Bjn/yFcJjm3B6/5Zd3L738bLjOLZY+a/rM0b44t3SMonVKkrT0DDeVyXATAAAAAAAAABXDTZJUboabJKnc+twDHvmFnw2Has7t0g3X76784e3hOrdU+ozps0b74NzSsYnWKUnSGjLcVCbDTQAAAAAAAABUDDdJUrkZbpKkcut7Dxjrb3BKPfjud+6ufvmOcL1rLn2m9NmizzxE/sYmSdLaM9xUJsNNAAAAAAAAAFQMN0lSuRlukqRyO+ce8MSvfyIcshmqB37i7bun7v6dcN1rKn2G9FmizzhUj79yLKJ1S5K0pgw3lclwEwAAAAAAAAAVw02SVG6GmySp3M69Bzx5263hsM2QXXrHDa+u5/mXLofbsMTStqZtTtsefaYhe/K2W8JtkCRpbRluKpPhJgAAAAAAAAAqhpskqdwMN0lSuQ1xD3jq9z8bDt2M0eWbb9pd+eJtu5defjbcljlL25S2LW1jtO1j9NTv/+/htkiStMYMN5XJcBMAAAAAAAAAFcNNklRuhpskqdyGugdcvefO3X3XvzEcwBmje7/ve3aPfuxDuyt337a79sJD4TZN0bXnH9o99co2pG1J2xRt6xh9/Yfe9Oo+j7ZJkqS1ZripTIabAAAAAAAAAKgYbpKkcjPcJEnlNuQ94IVvPby7/IHp/taiw+5/xw27xz7xkd3VL92xu3btgXD7higt+8or60jrSuuMtmXs0j5+/pV9HW2fJElrznBTmQw3AQAAAAAAAFAx3CRJ5Wa4SZLKbYx7wOO/8clwKGfK7v3e79rd/8637R7++ffvnvjMr+6ufPH23TP3fWH33GN/uvvm1Xt3z7/08O6F//Dk7qWXn3u19H9fe/Hy7ptP3/vqa9Jr03vSe9My0rLSMqN1TdkTv/mpcJ9LkrSFDDeVyXATAAAAAAAAABXDTZJUboabJKncxroHXP3qXbuv//CbwgEd5XfpLW96dZ9G+1qSpK1kuKlMhpsAAAAAAAAAqBhukqRyM9wkSeU25j3g+b96ZPfwz703HNZR99I+TPsy2seSJG0pw01lMtwEAAAAAAAAQMVwkySVm+EmSSq3Ke4BV750x+7SjW8JB3dUX9pnad9F+1SSpC1muKlMhpsAAAAAAAAAqBhukqRyM9wkSeU22T3g76/tHv/0x8MhHl0s7au0z8J9KUnSRjPcVCbDTQAAAAAAAABUDDdJUrkZbpKkcpv6HvDck1/bXf7ATeFAj/7Zq/sm7aNo30mStPUMN5XJcBMAAAAAAAAAFcNNklRuhpskqdzmugdc/coduwff/a5wwKfEHvxX73p1n0T7SpKkUjLcVCbDTQAAAAAAAABUDDdJUrkZbpKkcpv7HvD0135v99B7fyoc+Cmh9NnTPoj2jSRJpWW4qUyGmwAAAAAAAACoGG6SpHIz3CRJ5baUe8DT931hd/nmnwkHgLbY5Ztv2j3z9S+E+0KSpFIz3FQmw00AAAAAAAAAVAw3SVK5GW6SpHJb2j3g2ctf3j32yY/u7vvBHwiHgtZc+kzps6XPGH12SZJKz3BTmQw3AQAAAAAAAFAx3CRJ5Wa4SZLKbcn3gCtf+d3dIx9+XzgotKbSZ7j6J58LP6MkSXo9w01lMtwEAAAAAAAAQMVwkySVm+EmSSq3NdwDXvjrJ3bf+Nxv7R56z0+Gw0NLLG1r2uYX/p8nw88kSZIuZripTIabAAAAAAAAAKgYbpKkcjPcJEnltrZ7wEt/98zu6Xvv3j3+6Y/vHnz3O8PBojlK25K2KW1b2sZo2yVJUnOGm8pkuAkAAAAAAACAiuEmSSo3w02SVG5rvwe8+Dff2F396l27v7jlV3YPf+i9u/t//IZw+GjI0jrSutI607rTNkTbJkmS8jLcVCbDTQAAAAAAAABUDDdJUrkZbpKkctviPeClf7i2u/bcpd3Vr/3e7i9vv3X36Mc/vHvkIz+7u/yBm3YP/sy/2D3wrh/bXbrxLbv7rn/j7s+/779/tfR/p3+W/iy9Jr02vSe9Ny0jLSstMy07WqckSTo/w01lMtwEAAAAAAAAQMVwkySVm+EmSSo39wBJkrSUDDeVyXATAAAAAAAAABXDTZJUbh5sl6Rycw+QJElLyXBTmQw3AQAAAAAAAFAx3CRJ5ebBdkkqN/cASZK0lAw3lclwEwAAAAAAAAAVw02SVG4ebJekcnMPkCRJS8lwU5kMNwEAAAAAAABQMdwkSeXmwXZJKjf3AEmStJQMN5XJcBMAAAAAAAAAFcNNklRuHmyXpHJzD5AkSUvJcFOZDDcBAAAAAAAAUDHcJEnl5sF2SSo39wBJkrSUDDeVyXATAAAAAAAAABXDTZJUbh5sl6Rycw+QJElLyXBTmQw3AQAAAAAAAFD5sf/lj3fXvePWo77jX9+2+2/+p9slSRvvv373/+YeIEmF5h4gSZKWUvS7xHDT9hluAgAAAAAAAKDy/R+968L/z6iSJEmSJEmSNFcv/+N/+vb/eslWGW4CAAAAAAAAoGK4SZIkSZIkSdKSMty0fYabAAAAAAAAAKgYbpIkSZIkSZK0pAw3bZ/hJgAAAAAAAAAqv3LX5d1/9T/+1lFv/tgfSJIK6L/913e4B0hSobkHSJKkpRT9LmH7DDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAGzED//y3bvr3n6rvl3aHwAAwLIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAcKZfu/vRRRQN+JRcGm6K9tPUPfTNv/n2mQIAAJwy3AQAAAAAAAAAAABnSsMr0XCN5G+PAgCAZoabAAAAAAAAAAAAYAAGnHSawSYAAGhnuAkAAAAAAAAAAAAGYsBJ+ww2AQBAN4abAAAAAAAAAAAAYEAGnGSwCQAAujPcBAAAAAAAAAAAAAMz4FRuBpsAACCP4SYAAAAAAAAAAAAYgQGn8jLYBAAA+Qw3AQAAAAAAAAAAwEgMOJWTwSYAAOjHcBMAAAAAAAAAAACMyIDT9jPYBAAA/RluAgAAAAAAAAAAgJEZcNpuBpsAAOA8hpsAAAAAAAAAAABgAgactpfBJgAAOJ/hJgAAAAAAAAAAAJiIAaftZLAJAACGYbgJAAAAAAAAAAAAJmTAaf0ZbAIAgOEYbgIAAAAAAAAAAICJGXBabwabAABgWIabAAAAAAAAAAAAYAYGnNaXwSYAABie4SYAAAAAAAAAAACYiQGn9WSwCQAAxmG4CQAAAAAAAAAAAGZkwGn5GWwCAIDxGG4CAAAAAAAAAACAmRlwWm4GmwAAYFyGmwAAAAAAAAAAAGABDDgtL4NNAAAwPsNNAAAAAAAAAAAAsBAGnJaTwSYAAJiG4SYAAAAAAAAAAABYEANO82ewCQAApmO4CQAAAAAAAAAAABbGgNN8GWwCAIBpGW4CAAAAAAAAAACABTLgNH0GmwAAYHqGmwAAAAAAAAAAAGChDDhNl8EmAACYh+EmAAAAAAAAAAAAWDADTuNnsAkAAOZjuAkAAAAAAAAAAAAWzoDTeBlsAgCAeRluAgAAAAAAAAAAgBUw4DR8BpsAAGB+hpsAAAAAAAAAAABgJQw4DZfBJgAAWAbDTQAAAAAAAAAAALAiBpzOz2ATAAAsh+EmAAAAAAAAAAAAWBkDTv0z2AQAAMtiuAkAAAAAAAAAAABWyIBTfgabAABgeQw3AQAAAAAAAAAAwEoZcOqewSYAAFgmw00AAAAAAAAAAACwYgac2jPYBAAAy2W4CQAAAAAAAAAAAFbOgFN9BpsAAGDZDDcBAAAAAAAAAADABhhwupjBJgAAWD7DTQAAAAAAAAAAALARBpxez2ATAACsg+EmAAAAAAAAAAAA2BADTgabAABgTQw3AQAAAAAAAAAAwMaUPOBksAkAANbFcBMAAAAAAAAAAABsUIkDTgabAABgfQw3AQAAAAAAAAAAwEaVNOBksAkAANbJcBMAAAAAAAAAAABsWAkDTgabAABgvQw3AQAAAAAAAAAAwMZtecDJYBMAAKyb4SYAAAAAAAAAAAAowBYHnAw2AQDA+hluAgAAAAAAAAAAgEJsacDJYBMAAGyD4SYAAAAAAAAAAAAoyBYGnAw2AQDAdhhuAgAAAAAAAAAAgMKsecDJYBMAAGyL4SYAAAAAAAAAAAAo0BoHnAw2AQDA9hhuAgAAAAAAAAAAgEKtacDJYBMAAGyT4SYAAAAAAAAAAAAo2BoGnAw2AQDAdhluAgAAAAAAAAAAgMItecDJYBMAAGyb4SYAAAAAAAAAAABgkQNOBpsAAGD7DDcBAAAAAAAAAAAAr1rSgJPBJgAAKIPhJgAAAAAAAAAAAKCyhAEng00AAFAOw00AAAAAAAAAAADAkTkHnAw2AQBAWQw3AQAAAAAAAAAAABfMMeBksAkAAMpjuAkAAAAAAAAAAAAITTngZLAJAADKZLgJAAAAAAAAAAAAqDXFgJPBJgAAKJfhJgAAAAAAAAAAAKDRmANOBpsAAKBshpsAAAAAAAAAAACAVmMMOBlsAgAADDcBAAAAAAAAAAAAnQw54GSwCQAASAw3AQAAAAAAAAAAAJ0NMeBksAkAANgz3AQAAAAAAAAAAABkOWfAyWATAABwyHATAAAAAAAAAAAAkK3PgJPBJgAA4JThJgAAAAAAAAAAAKCXnAEng00AAEDEcBMAAAAAAAAAAADQW5cBJ4NNAABAHcNNAAAAAAAAAAAAwFmaBpwMNgEAAE0MNwEAAAAAAAAAAABniwacDDYBAABtDDcBAAAAAAAAAAAAgzgccDLYBAAAdGG4CQAAAAAAAAAAABhMGnAy2AQAAHRluAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAjtz2758+6tEX/laSVEjuAZJUbu4BkiRpKZ3+LmH7DDcBAAAAAAAAUPn+j961u+7tt0qSJEmSJEnSInr5H//Tt//XS7bKcBMAAAAAAAAAFcNNkiRJkiRJkpaU4abtM9wEAAAAAAAAQMVwkyRJkiRJkqQlZbhp+ww3AQAAAAAAAFAx3CRJkiRJkiRpSRlu2j7DTQAAAAAAAABUPnbngxceHvi/Ln1z94XLL0iSNt47/tcvuQdIUqG5B0iSpKUU/S75j//5v3z7f71kqww3AQAAAAAAAFCJhps8PABQBvcAgHK5BwAAS+F3SZkMNwEAAAAAAABQ8fAAQLncAwDK5R4AACyF3yVlMtwEAAAAAAAAQMXDAwDlcg8AKJd7AACwFH6XlMlwEwAAAAAAAAAVDw8AlMs9AKBc7gEAwFL4XVImw00AAAAAAAAAVDw8AFAu9wCAcrkHAABL4XdJmQw3AQAAAAAAAFDx8ABAudwDAMrlHgAALIXfJWUy3AQAAAAAAABAxcMDAOVyDwAol3sAALAUfpeUyXATAAAAAAAAABUPDwCUyz0AoFzuAQDAUvhdUibDTQAAAAAAAABUPDwAUC73AIByuQcAAEvhd0mZDDcBAAAAAAAAUPHwAEC53AMAyuUeAAAshd8lZTLcBAAAAAAAAEDFwwMA5XIPACiXewAAsBR+l5TJcBMAAAAAAAAAFQ8PAJTLPQCgXO4BAMBS+F1SJsNNAAAAAAAAAFQ8PABQLvcAgHK5BwAAS+F3SZkMNwEAAAAAAABQ8fAAQLncAwDK5R4AACyF3yVlMtwEAAAAAAAAQMXDAwDlcg8AKJd7AACwFH6XlMlwEwAAAAAAAAAVDw8AlMs9AKBc7gEAwFL4XVImw00AAAAAAAAAVDw8AFAu9wCAcrkHAABL4XdJmQw3AQAAAAAAAFDx8ABAudwDAMrlHgAALIXfJWUy3AQAAAAAAABAxcMDAOVyDwAol3sAALAUfpeUyXATAAAAAAAAABUPDwCUyz0AoFzuAQDAUvhdUibDTQAAAAAAAABUPDwAUC73AIByuQcAAEvhd0mZDDcBAAAAAAAAUPHwAEC53AMAyuUeAAAshd8lZTLcBAAAAAAAAEDFwwMA5XIPACiXewAAsBR+l5TJcBMAAAAAAAAAFQ8PAJTLPQCgXO4BAMBS+F1SJsNNAAAAAAAAAFQ8PABQLvcAgHK5BwAAS+F3SZkMNwEAAAAAAABQ8fAAQLncAwDK5R4AACyF3yVlMtwEAAAAAAAAQMXDAwDlcg8AKJd7AACwFH6XlMlwEwAAAAAAAAAVDw8AlMs9AKBc7gEAwFL4XVImw00AAAAAAAAAVDw8AFAu9wCAcrkHAABL4XdJmQw3AQAAAAAAAFDx8ABAudwDAMrlHgAALIXfJWUy3AQAAAAAAABAxcMDAOVyDwAol3sAALAUfpeUyXATAAAAAAAAABUPDwCUyz0AoFzuAQDAUvhdUibDTQAAAAAAAABUPDwAUC73AIByuQcAAEvhd0mZDDcBAAAAAAAAUPHwAEC53AMAyuUeAAAshd8lZTLcBAAAAAAAAEDFwwMA5XIPACiXewAAsBR+l5TJcBMAAAAAAAAAFQ8PwGseffTR3XXXXde59HpYO/cA1uxHf/RHw+tzVHotcMw9AABYCr9LymS4CQAAAAAAAICKhwfgNYabKJF7AGtmuAnO4x4AACyF3yVlMtwEAAAAAAAAQMXDA/Aaw02UyD2ANTPcBOdxDwAAlsLvkjIZbgIAAAAAAACg4uEBeI3hJkrkHsCaGW6C87gHAABL4XdJmQw3AQAAAAAAAFDx8AC8xnATJXIPYM0MN8F53AMAgKXwu6RMhpsAAAAAAAAAqHh4AF5juIkSuQeUJV23PvOZz7w66JNK/3dqrQw3wXncAwCApfC7pEyGmwAAAAAAAACoeHgAXmO4iRK5BzSLvvv71jYsk4aYos+RSp9ljdc0w01wHveAZk3XmDUPhk7JPgSgK79LymS4CQAAAAAAAIDK0h8eiB6E61N6sC619r+lgvEYbqJES7kHNA3e1DW2LteEseVel1LRPa7p4fLD1nZd6/q5Uum1wLE13wOmuF5F6z1sCtF6h8o+jDu9j0avOSf/XgoQM9xUJsNNAAAAAAAAAFRKGW6K2j9UBknuEMHahgAgspR7QO73LzX29bvLNo19HUifMVpvU6fblLOMtQ0Ape2NPkfU2j4bTME9oF6Xa+cS7wE52Ydxp6LXjJF/NwVKZ7ipTIabAAAAAAAAAKiUPNx0mIeeyX2wduyHMWEKS7oHRN+zpsa+bnd5IHrsh5CjdbZ1aIkDA0My3ATnWfM9IDWmLteXsa+XOde4vo1pjfswuldErxuztA1ruhcDDMVwU5kMNwEAAAAAAABQMdx0nIGVchluokRLugf0eYh7TNH6Tosegh5StM6mTh+GTv/v6HVNjf2ZhpRzzqzpc8FUlnQP6HO9GvO3WLS+qDFF6xs6+/C4aKgoet0UpfuWf98ASmK4qUyGmwAAAAAAAACoGG66mIfIypSOe3Q+1OU8YQvW/mB79BDyEHKuB2PJvSalTq9LOcM/h62F4SY4z5LuAUNc84aSsy1jbUPfYa/onzdlHx4XiV43ZWPtH4ClMdxUJsNNAAAAAAAAAFQMN8V5iKw8OQ9hppwjbMHS7gHRd62psQZWch6IHmvAaoiHsg03vZ7hJrho7feAJVx/x9qG3Ov3/hoX/VlT9uHr1d0notdOnX/vAEpguKlMhpsAAAAAAAAAqBhuqo+yGG6iREu7B+Q+iJwaQ7Seuuoehj5XtK6moofDcx4uP2wtcs6XsY4TrNnS7gF9rlljWMK1JVpXU/t7gH34umhdTUX30SR67Rz5dw9g6ww3lclwEwAAAAAAAAAVw031eRC6LIabKNEWHmyvexi5r9xrQWpofbYhuiYtYX+OaQkPz8OaLe0eMNS171zRepoaQ7Sepvbsw9dF62mqTvTauQLYMsNNZTLcBAAAAAAAAEDFcFNzlCP3YdAxHgSFqS3xHhB935pawnDT0NvQZyipTs4AUGpN1zbDTeNI51/aX11jvdwDLupz/R36upm7Daffw+g1TdmHzfeI6PVz5ZoLbJnhpjIZbgIAAAAAAACgssXhpv3Dtqnoz3Ma+mE/lit3oGFNAwBQZ4n3gNxr99AP+vZ5KHvobYjW0VTTvSrn2ra261rOuTL0Mdqy3O8A67WFe0BqSH3WP/S/L+Ruw+n67cPz9+Gh6PVzBrBVhpvKZLgJAAAAAAAAgMrWhpvqHszOfVB3X3owjjIYbqJES7wH9LleDylafpeGFC2/qbbrUfrztge913hNy3l43f28u9zvIOu1lXvAkNevaPldGlK0/KZO2Yfn78ND0eubSvsyKh2XVO7g1WnuZ8BWGW4qk+EmAAAAAAAAACqlDDft9XmYjDKkcyc6/nW1nWuwBku9B0TfuabSw8JDyL0OHDaUPtvQVfRQdfpna72e5dzTPQzeXTonon1YF+u1xHtAn2vgEu4BQ11Hc79/0bXNPjx/Hx6K3tNU18+Rcw87DWCLDDeVyXATAAAAAAAAAJXShpuS3AfJhnrYj2XLfRhzqAcwYU5LvQfkXqfbHkzuKveB6MOGulfkbkPJ96ic82Soc6QEuecg67WVAdct3QNy7391641e25R9WC96T1M5/46Qu637htpXAEtiuKlMhpsAAAAAAAAAqJQ43JT70J2Hx8pguIkSLfUekHudTg0hWm7XhnowPFp2UyVfi3IeCh/q+JQg9/vHerkHHOs7aLJvCNFym6q7B9iH3Wu7j0bvaSr3vtxnn/n3U2CLDDeVyXATAAAAAAAAAJUSh5uS6L11eXisDOnciY5/XbkPLsISLfkeEH3vmjr3Wp17DYg6V59tKJnhpnHkDkWwXku9B/S5Fg7xuyxabk7nbsOQ9wD7sHttovc01eczRMtpyj0N2CLDTWUy3AQAAAAAAABApdThJg9Ecyr3YchzH76EJVjyPSDnOp0691rd54Ho084dsModKil9+Na9fByGm8phwPV1ued91Lm/DXO3oe26Fr2nKfswFr2vqT6fIed+tg9gaww3lclwEwAAAAAAAACVUoebch5880B0GXIHG859+BKWYMn3gD4PSZ9jiIeyz71fRMtsqvTrUM7D4O7l3eV+F1gv94DX9RkuOS1t8zlyt6FtffZhe13WF72vqT735qmPFcASGW4qk+EmAAAAAAAAACqGm9rzQHQZDDdRoq092H7O9zJaXp/6yr0GpUqX8xC7e3l3ud891mvJ94A+18Q13wOSaHlNtbEP2+siel9Tffah4SYAw02lMtwEAAAAAAAAQMVwU3seiC5D7gOg5zz8CUuxtXtAurb3kfv9b2qqbei7ni0x3DSO3IfsWS/3gNcMeQ/o+/sw93vX9ZoWvbcp+/Ci6L1N9dn+Pvuv734CWCrDTWUy3AQAAAAAAABAxXBTe30f8mNdch8q9EAhW7D0e0DO8Eqq7wBL7gPRTU21Da5BhpvGknsusl5Lvwf0uTb3MeQ9IC2rj9z7Xdf12If1dV1P9N6m+tyfc/89JOV3ALA1hpvKZLgJAAAAAAAAgIrhpvb6PmDHuuQ+VOiBQrbAg+2viZbTt75DNNGymsJw01hyv3es19LvAVMNfOQOxbTVR7ScprqyD+vrKnpvU33231THCWDJDDeVyXATAAAAAAAAAJVSh5ui99Y1xYNjaR3pYeL0YGDdw4Hpn6fXpNeu9WG2ugeml/B50jZE21bXkNvcduxTh8d/adI27T9DtM0plmkND5AdnlNdyj3fcr/7XcqVuw1r+07trwPRdW7/z9Kf517fTpfVVHrtWhxeU+s+436f9dlvbdIyo3XWNYSun3foz1o694DXRMs5p9zzNL0+Wk5d6fuQI1pGU/bhsej9TfW5TuVuf6rPerqquyanfz7UtXi/rGg9qfTPhlzfmNL27T/L6WfYf46lfwZYAsNNZTLcBAAAAAAAAEClxOGm9JrovXWNJXoAKrc+D0rlfv7UUA9jRcveN4S0P6JlN7X/bLn75dx9cu7xH+IhuXM/c877z91WxrGGB8hyvyfp9TlyvwddSt/PHLnXrpzvU87+y913Tc65xnW9vo352c45L/rux777a1/uebeXe/7l1KbvutO+cl853xruAbnnSO73YIzzf+xtWPvyu7Skzxi9v6k+16Y++zBaz7n3xa7vj97bRfqcOdt4Wnr/UNf+3Pv86XrT/7vPccs596A0hpvKZLgJAAAAAAAAgEqJw025DyEN7dyHuqJyH/SKltHUEA9hte33nO2vk7tfDx/MS+uPXlNX3+0d+vinZfXdlnM+c+5n6LuNjGuLD7ancnRdfs45f3ht6SJaRlM5xtzuSJ/jVVfbdWOsz5Z7bTyszz7M+RxdSscgx5DH7LQ6aR8P9bndX/pbwz2gz/cxR5fzML0m93uSI/e7kMs+vFiO6P1N9bkm9bkOR3L2Q3rtXu45cvjeLnKPT5fOvfbnfubD9Q3xeXLv1VACw01lMtwEAAAAAAAAQKW04abch5iGfOgorXuMB7sO67q9ufsh1bZv27R99iH2dbTcpg7XmbtP+uyPMY9/n/3X9zP3+Rws01oeIIvOqaZyvg/R+09Ly0tFf1ZXV7nfw9zves73Nb22r9zP0aW27Rnrs+Us97Dc/TfGPtuXtmV/zW6Te27nFBnrXOn6eXndVu8BOedC9P7T0nck97zNEb2/rtzrzF60rKbsw9dFy2iqz7UoWk5bkfTZotdG7fdD7nFJdf0tMub9JXXOtT/3c6fX99lXTfX9PsNWGW4qk+EmAAAAAAAAAColDTf1eRhpKEM/CNVU14ekovc21fUhtjrRMk87R+7Dc6f7KfcYNZ1rp9Jr0/qi5QxZ7gNyfT5z38/BMq3lAbLc867rd6Hrd2D/fY/+rK6u18w+38McOfsu9xqy1/e60Fbb9ozx2fp+lq7L3+u7nty6nC9jPnx+Kvd8zyn3GGDAtev5mF6Xe+52+e4lud+/rp/tVLSspuzD10XLaKrrdu/l7pdU3fUu596SXttn3aku+3Cq+1wqd58nuZ899zzLqc/2wxYZbiqT4SYAAAAAAAAAKlsbbto/pLUvPYTU90Gk3Aff6oz5IFRd+/3QpM929dV1Xec82JX7AN3p8U3rjl5XV9dtzV3uuaX90NVU25azTUxrLQ+Q5V6vup5zXZe7l3OdGXob9uUaY5sP5Sw/t7btGfqz9f0sXZZ9qO96+tZ2v8o9B3M6NeZnJ99W7wGpLnLvAdGf1ZWW3UXud6Iv+/D1ckXLaKrrvyPs9bku1u2bqe4vTZ8x/dlU23FY1/Nlb6p/D+pa7nkDW2S4qUyGmwAAAAAAAACobG24aajSA1lD6PMg4ZC1id7TVN+HrqJl1dVXtKymTuU+4NZ1X0TvHbuu5+9UD/XlPmzIdNb0AFl0bjXVRfS+0w7P39xrehfR++rq813KecA499439sPLbdsz5Gfrez3M3Wdz/S5oumeNuU2HxlxP13syx9ZyD+jz/exyTnS5hhx+x+e+B+Rebw7Zh6/VZx9Gy2kq53rUZf9F1a2j7/JyaxK9fqrS+dVVn+/EmPU5N2FrDDeVyXATAAAAAAAAABXDTXFDWMIDU20PSeU+YJjzwNhe7jpyHgjcG+Jz5B6vLts51QOGUV22b6pztM95wzTW9ABZ7vep7bzrev6ffpei19TV9j3M/Q62LS+Ss99yHqyd4vrWtj1Dfbbc43BYzjE5Zz3n1vT5c++hOR0a65xpO0+ot+UB1y6/PaL3nXa4nKGv2bnLO/f3VLTMpuzD10TLaaptm5P0mnOuiXXGus6eVmeq9TfVZf8nuefOFLmfUTrDTWUy3AQAAAAAAABAxXDTxYawpIelmh7i67OduXIfcuvz0GHuOiK5+6Ltwbn0OaL3tZU+S3pvWv6+vstqk/uZ+9a2r5jPmh4gy/0etD0g2vX8P5VzvWm7nuV+pj5ytrdtn+1Nde1o256hPlv0+i7lXttytvew9L4h7gt152OfZXVtL/ec6fqZm44r7bZ8D0g16bq8U9Fr6krraJL7mc5lH/bbh9FymkrXpcNr1+E1rM8xOK1pn/S9z+RUd92dYt1dS/u7TXpN9N65azvnYcsMN5XJcBMAAAAAAAAAFcNNcfuH0vpa0sNdqabPkvuQXe5+iZbRVq5oGXXVPZCX+4Bb236I3tNW28Nsuds49PL6lnvOMJ21PUAWnV9NNel67TuVc82su97sRe+pq+37XCfnftS2vXvRe3NL62rbtrbtGeKz5SzjsNzrWs55s6/t86dtyN3+SJ9t69reUN+b08/MedZ0D+jzm6VJl+9OdC7mfl+a5Hx/m74XXdmH/fZhtKw5a7r/5OyPvkX7sc+5NWZdjvXStvkwKJXhpjIZbgIAAAAAAACgYripuT4PwZ37kHBaZ1pGeuBq37nLTNXJfbArbUtXfbc7bVNXueuoW3bufmjaxj6fu+tnzt3OJrnLikqfNdr29M/3D1iyXGt7gGx/TnUtnYd1otefFr0/9/tdJ/f71/UacSpnn3W55+Ueg8Oajkf6fKf7tm17zv1sfT9Ln2MRLaepts9+KOdzRMcgfZ60jH3R+5o6fO9pe+n/jt4b1WX/ps/RdD7RzdYHXJvOpej1p9V9X6LX1nXuNuwb6nyPlt2UfZi/z8as7TPkXGuj0vvrjln65+k10Z+fs979OlNpPft17dfXt6bzJkl/Hr0vt8Pt3m/7ucchLQNKZLipTIabAAAAAAAAAKgYbupW28NRh/o+zJTe1+ach7CaPkP0+qa6it7bta5y9nfTPs7dt037M/ccyH2ALWdbm5Z9zvmUPmPTPtjr8hrms/XhprrvfNdzv+78jV5bV913MPf711fOPqvbX4ei97XVZbl7ab/st7ntfed8ttz9v6/unGiSzoFoWXXl7K+9aDl1tcnd3i6i99XFdNZ2D8g9N8+9/taJXltX3TaM8T3rwj7MFy1rrtruQTn3xdPq9vOp023IPQ6Hta0zreucz9Sk6zlcV9uxSMbadtgqw01lMtwEAAAAAAAAQMVwU/e6PMDU9yGpLss+1OdBqaaHpXO3u8v2nvOgW2qM/d30AN1Q+yB3OU3HpUm0rLrq5G7rvr7bzPJs/cH2VKTrcurkXIPrvi85n6Xp2tVmiG3dy1nWvrZl1kmfecjtOVxW32tf3XW/Te5+63O8cz5T2+fIOTdTXUTvq6vvfibf2u4Bfb67ka7neJ2c70jd97nv9etc9mG+aHlz1OXamHu/2XfOdbfPOnOPR5/zNtX0ufouM217zv7qu5668x62zHBTmQw3AQAAAAAAAFAx3NS9Lg9h9Xm4K+fhqENDryt6fV1dHrbqs32HDb2OtuOX++BZ3b7MeVgz1ffBtZztrdvW3M+8r255rM8aHyCLzsmmovM1et1pTd/N3O95JHpdXed854a8TkbvaapteW3aPnffzxb9eVvnHINoeXWds8+i5UW13XeGOL9PRe+r69zzhu5KvQd0uXY0nYdpmdF76opEr6ur72/FOtE6mip9H0bLm7qu96Aux+W0puPURbTMpvquL/ecSTUd9z7LS/XRZ13nHhdYI8NNZTLcBAAAAAAAAEDFcFNebQ8ZRe9p6pyHloZ+wGvoh5mj9+TWJnpPXW0PNebuz/T6SDqm0evrOke0vKi6bR36HGJ91vgAWe53LDpno9edVve92YveU9fpNuR+986Rs7+a7km594jU2Pp8ttzzJ9V2LjTJ3W/nXGNz1tUkd5u7iN7X1jn7nW7WeA8Y4jsVve60tu9i9J66Ts/lKe8BEfswT7S8Kcu5Fva5x50j91xK5XyeU33WVyf3HEqds+1THxtYI8NNZTLcBAAAAAAAAEBla8NNTQ8cpT9LD0T1ebDosDp9HpA6V+4DXvuHu+tE76mraV/3efAsash1tMk9fnXbFr22rrbj0SZaZlTaV5E+52zTMWF9Sniw/fR71vW8b5NzLzndhpzPUPf97eqc7TyUs5zUudvdRe5ny/0MqXOvebnn6zn7Leea3vS5cre5iz77ft8U51Kp1ngPyDnP9x3qen63id5T1+k5nPMdS9+dodmHeaJlTlXuPSj3Wnvuvsld3+lx7CNablN1+zD3ezDHtg+xTlgTw01lMtwEAAAAAAAAQKWk4aZTOQ/FHVb3EFju8oZ6WCladlNNcj5D0/ZHr+9bnZyH6brs69wH3KJzLXcZU1V3zvbZXrZlrQ+QRedmU4e6Xufa5FwvU4eiP68r574WyblW1l0rkuj1TU0h57P16dx9n4y9jX1r+mznnNt1cpcZlZYxxDHhdaXcAw7Pmy7fyaZr4d4535Oc60JazxiidTVV8j6Mljl2fbc5Z7+kpt43Q8g9b+o+Yzqno9fXNcT9Z6hth60y3FQmw00AAAAAAAAAVEoebkpyH2raF8l9mGwouQ9JNe2j3P0Ryd2etuq2N3ptXV3kfvZou4b+7EMWyf3MXR5UZV3W+gDZOQ/vRn9+WteHSaP31rU3xHU2R86+avqOR6+va6prRe55kFPXc6BNtOwl1PT5cu9lXeSe921F92DyrfUekHuOHp7v0Z+f1uX7n3tOH56z0Z/XNRb7sLtomWPVZb81yb0vnnstjZZZ11C/DXLPm7p9mrOcc4/LoWj5dU31ewqWwnBTmQw3AQAAAAAAAFApfbgpyX1AKhU94JTzMNmQDyrlbn/bPkqfLXpfVLSsrvuh6+uifZ2zjV339RD7MWe7pi6S+5mjY8G6lfJg+/460PWcj77fka7XsdT++5Oz7UN853K2se56udRrRc5ny6luP/QRLX8JNR2jnHM01VXucrvU9btKrLR7QBL9+WldRe+ta/+dy9n2Ia9Fp+zD7qLlnlvarlT6LENex9Iyo/XVdY45fxtEy6+r7hzI2f4htz3nGNVtO2yV4aYyGW4CAAAAAAAAoGK46TW5D4JFDxpFr6tryAeVhn6wLHd5p6LXRKXtSEV/dtqpnOPVVe7njs613PNoyqLtHfrcYX3W/ABZdI42lfS95tTpurzU/rqf857oe5sr57pUd2/K2ebUVMa65g6x3/ei5S+hpuv5mMc7ev+5NX0Wmq31HpD7+yWVdD23u+rzXcm5bo15btuH3UXLbWrIe0iu3PviOfocu6EMse6c78CQx3TKYwRrY7ipTIabAAAAAAAA+P/bu5+X+7r3oO/fP6Yjh0IzCMRRoD8QJ504EKSzBpQaUDrrRJFGA2khqEVq06HSYimC2EAm4kgptJPOnAeEOEgITVofu/L57vXZn3NfZ6+99q+z9r5eL3gLeZ57n7PPPufe69xf1uUDUBlu+qZ3g1TZlPQq+rl3HbHRbi56jnetee6eTVfza95zHYu1m8pe39foZ6Ki9+mdtecyFX3WejerXVl0vke8Zu7tzhvIen/f1t6feu7Pvb9DRfTP33WEnuv07p7Zc28vXeXMe+4R97vez8eVvXuvizPf77OuydLr4b1MA67ls7fmntHzWer9PPf+/Nmi51wq6zWMHnepco6fsub9mep5nyKf/G5wxHP3fJaOfE9H/U4FIzDclJPhJgAAAAAAAAAqw03fRY+31KvoZ95VNjUdKXqOd6157p7NXvPHi/591JZjJj0bwno+Dz2vuRQ9ds+GwquLzveI18y93XkDWc+9oLT297P3cx49xrt67hFr7tVrHLHRufdaX+Xse+5evffYK3v3Xhdnv9/lupzx3h31O5OJNeBrvZ+j6DHe1fO5X/odPYpruE702Et98vvylden9/NzpCOeu2eNPtInrxuMznBTToabAAAAAAAAAKgMN30XPd5Sr6KfeVfvpr+W6Dnetfa5o2PfVfRs1Jpbe9z03q7dtNe7Ya9ng1sp+qz1bCi8uuh8j3jN3NvdN5BFn9O99Trr9/6o37ee83t33xx1I+7Z99x312Ot3nvslS29tqve7zOuj3Wqz53XgLN+v3r1/r6srTzu2VzDdaLHXuqT96Ej1vy1rlorIkc8d8/n/0ifvG4wOsNNORluAgAAAAAAAKAy3PRd9HhLvT5X9DPvOmqz3SR6jnetfe6ejVflWqzdTPe6kW7txrLpvKN/F9V7jXs2uJWiz1rPhsJS+fnyOFcUKf88Oq93vXsc7uvuG8h6f+fW1KvnXtnTUXqu0ev9edL7Gq9yxvv/2rtrskbvPbY03bPPbsnV73c5n+hxt7Tn/crIgOuPbfn8HPn5nXeV6Ln39MRrGD32Uq177Jl61sW998veteLI69LzOkuRns/dkec+6ncqGIHhppwMNwEAAAAAAABQGW76Lnq8pV6f64hNVlucubEsOj6q57WX830V/VzU2ufZslmvZ4NbKbqOve9FdC2udMRr5t7uvoGs93eu1dbfyeix9nTkvaHn/vzu3jnqvaL3tUX/fE17Xk/0eEuNoPf36ijlOh/xO22tWs8a8GOjrAFbvsdu5Rq2RY+/1CfvQb3r4h7ldUaP+64jr8sRr7Pn/Ld+riPR47/ryM8x3IHhppwMNwEAAAAAAABQGW76pndzVun1uXo3Bx61watnc1epx9EbHkuRLdd/qS0b0HrPIXr/eq/XkRvltjjiNXNvT9hAFn1Wt7b1M957H2515O/a1RuAS1fd23pfW+/rmLf1PYkea6kR9K5lZ+g9h3lH/v483d3XgD2/01Fb7fm8Rl35/dA1bIsef6lP3oOOWPPX6v3sfOo9OeK7zd5rNfnkNYM7MNyUk+EmAAAAAAAAACrDTd/0bjQqvT5X76a8ozYrRY+9VI8t12WppY1h0c9vbYve1xp91nof46iNclsd8Zq5N8NNP7ZV7/2/1ZHKfSZ6jqgj79FX2PLaeo55bcs9MHqcpUa4z/Z+ns+05XfrqO9XGVgDfmyrkdeANaJz2NpWI1/D6PGX+uR9/Kg1f63ocZc6Qu9n5d2a0Pt30BGOOnd4KsNNORluAgAAAAAAAKAy3PTNlg11r3o3SJX26j3vLZvYtlybdy29P0c9z9ZNYL3vX/RaPvEZ2OOI18y9PWED2Z5hlXlb7x2T6DG3tPc8Xh210bn3Ol9xv9j62npfy9TS9Xmnd207+v3fovecz9Z7Plvep6yesAb0fj7etedzs+X737s+8fl1DZdFz7HUJ78vl9cenVPUEdep5/lKR6xx0eMu9e796P3MHXG9osdd6pOfJfgEw005GW4CAAAAAAAAoDLctH0zXST6uaX2bJLact5bNpRtvT6vtV7rUc+zVe/zl5+PRD+71LvHWaMcu/f46Jzetee5GJON7d/b+/nu3eD7rqN/z3rOa+k+3Xud96xva219bb33vnm9r6v3ufZs/C7PNbVH73t9heh533XFZ+8pnrAG7Pl9nrfnd6+IHnNLe89jC9dwWfQcS+29B++xdV3cqne9KO25Pj2vb+qdLZ/7Uc4dnspwU06GmwAAAAAAAACoDDdt22j0btPclRu8rtwgteW5Xluz0TA6rqdynlv1bnB79771fgbWXJdIdL7l9ZfHK635XB31mrmvp2wgiz6vve3V+7v/rqP13L+X7qG994vSnnvyGnte25bXM9V7L4weY6mt99rX61H+7/masPZxez/LPXrOY27Pe8171oDv7TXqGrBWdC697TXqNYyeY6mt9/AjXH2vLK81euyltj7v0c+15fFKW2x5rvL7ANkYbsrJcBMAAAAAAAAAVebhpq0bmkrvnmfrY/acd9GzcW1qzwa2Pddqao29mxr36H2NR34Get//oucz8G5z3FGvmft6ygayLffEeXvuj3PRY/d0xkbWnmvTug5b7tFb7xvluNb57H1te9acntfVc56lLZ+DI+/nvdelx3Qtej8Xe99rYk9ZA/b8LpeO+Mz0/g5GffKz6xq+Fz3PUr33tyOV1x+dU9RR1yp67Fa9z731s7G0nm59zKvO/ZOfI/gUw005GW4CAAAAAAAAoMo23FT+/d7Ne6Ul0c+vqWyUap3/nnNf2ty1RvSYa1u7CWzr5q/S3g16vc+99F5FP79U77mXn48e513v3vsjXzP3ZGP7t/beHye9v5uvnfE71nNOrXtR7z1jaus9rnXcEa+t5zFeW/t+bbluPZ+FLY+/pPf3aa3Xa93zGufHtTrq9zmDp6wBW34H5h31mYkeu6dPfnZdw/ei51mq5952tCPWxV57PjtrrtXWdbr1+s7+zJfH33ruJcjIcFNOhpsAAAAAAAAAqJ423FQ2EEVFP7u1NRuZouPWVh6/VB6nNP3fe15HOXavPa+rdc3mouPXVM5vj97Xt/R8W67V2vdoy+fgnSNfM/f0pA1k0Wd2bUd9tveuN2foOac196E9r3Fa294p/37+863zOeq1RT+/pjXXaxId32rN57L3Pl5qrcmv70OrNd49Zutcit7PnLVqPWvAt47S+7vz2qdF57S2o4x4DaPnWeqT96Cj1sVe0eP3VN73ct2myv/de+9/rbW+lOeJjuupnGN5nvn5T/939PNra507PJXhppwMNwEAAAAAAABQPW246YrW2LsZ6+jKRqsjRI/dqnfj3JbNYEdszuvd4Na6ptExa5o2x73aukluaXPc0a+Z+3nSBrI9992jbP09LS39ru7Rc13W3Et77xvvKs81Ff37Uut8lo59bemx9rym1jlOtj5Hefzo3ls+Lz2vf15L7+e4Zc1rL8/5+jq3vkbWswas/x1e44p7yZlcw1j0XEtF9+yr9LyHo7xvZ7TmtY12zvMgK8NNORluAgAAAAAAAKAy3NTX2s1qI22WOnLjWu+G51I5pseWa9f7HJHe5219Fkb4DLTe+6NfM/fzpA1kW+5PpSPuH3PRc6zprN+vMzY6b73WvbXO58jXtuc1rf0M9ZzvWa05195r0RIdc1Zr3wu+sQYc+z25iJ5jTSN8dl3DWPRcS33y+/KR62KvEda4qTXvQe/fQVfl7y0yM9yUk+EmAAAAAAAAACrDTevr3QA2woapozetbXlNW0SPs9QRel/bmo1nWzeJHlXrHM94zdzL0zaQRZ/bVkd/rrdu7j1Lz/n0rBlbX2dPrfM5+rXteU1rPke999yjW3MNit61a8mea7ol+jxpDdj6+3X0QMzW734jcA1j0XMtdfT3ih5Hr4u9rr7nR629/p9ek6POeE/gTgw35WS4CQAAAAAAAIDKcNO6tm40+vQGrzP0bDjcet16nuOoDZW9G9zWbpz71GdgzXU56zVzH0/bQLbl9+1oWzZlH3Ufi/Rck9579tn3t9b5nPHaomPXtuYe2XvfPaqe97b3M/zO1a/1zN+jpzLgevwasOVz3/P7ebbo/FodbbRrGD3fUmvWgrOcsS72+NQaN9Xzmj59rq+NdB+ATzHclJPhJgAAAAAAAAAqw03t9m406tlkdmRnbazr2Qi2daNxz3McpXeDW8/1vfozsPYze+Zr5h6etoGsdyjjrI2k0XMtdebvVs/9Z8v1OPP+1jqfM15b731x3hXPsbWez9hRw03FVa917bXnR9aAcz430XMtNdJgnmv4VfR8S525preU9yM6p6iz3rtPrHGl3tfzqfN81yc/NzAKw005GW4CAAAAAAAAoDLctNxRm4yu3Dx11ka1ubUb5/aIHu+1I19r73vU+9lYe8321rO58+zXzPieuIEs+uy+66zN0L2/72fqOZet99Sz7m+t8znrte1Zs9c+z57n6KnndU96hxtaymvtea962/Ia+eZpa0Dv79VZa0D0XEuNxDX8Knq+pco1/JSee+2Z986z7/uvbbnmvZ/13p/v6ZOfGRiJ4aacDDcBAAAAAAAAUBluiisb9Y7eZFQe7+xNXmdtMHy1ZnPX3g1zazZXH6l3w9qWz8ea17S1cr17z+mK18zYnriBrOc+e9Znuud3/ez7ds/12HPfPuP+1jqfM19bz2O/tvY9LZ+/Pc/Tqvc1T3rfy7XOeK1bXyPfZB9wPUvP79CIn+HoPN91lpGuYfScS33y+3LPffaKz94Z3w3mldew9XqX46LHfFf5+d5jWo34+w+fZLgpJ8NNAAAAAAAAAFSGm35s7YbkPY7eFFX6xMao6Dzm7dW6Tke/5i0b3LYox5Vzjx5za1s/t1e9Zsb1xA1kPRtpzxQ9X9TZv1c995u999Wj72+t8zn7te15LT3va++9uFU57z2fq97N6D2Oeq17XyPfZF4DttwT1ur5nF/xt0cv1/BH0XMu9cl7U8+6deb7N1euR++60qqc+973veczVpq/rz3X+V2f/JzAqAw35WS4CQAAAAAAAIAq63DTtCGq9KmNRXs3eh2xqWuPpQ1hR22Wix576uj3ben1RO19/hHe/6tfM+N54gaytZ/rs++faze+nm3teZSOuncfcX9b4+zX1nuPfK33nrn3+cpr7H3OSO97t8XW11pe49m/u5lkXgO23BN6RM8ZNSLX8EfRcy51xH14q/KeROcUdfb796pclz3fDUpHrgG969Dr+1r+757rPWUNg/cMN+VkuAkAAAAAAACAyuaBMUybvUrRJqnyz6bNXCNtiHo9z6mjzrE8TvT45Vo8yfT+L22Qm38G4ChPXQOi36HXXjepHu3d/Wteht/npfVtuq+5t/2oXLPWujC/bne+dvPPR+t1crzMa8DZn6l3n+l55bM9quh8X3MN2ap3nSs/e7TymNHzvmvpHKbX8fpapvM/6zXA0/jfJ3My3AQAAAAAAABAZfMAQF7WAIC8rAFAVkcONwHH8L0kJ8NNAAAAAAAAAFQ2DwDkZQ0AyMsaAGRluAnG43tJToabAAAAAAAAAKhsHgDIyxoAkJc1AMjKcBOMx/eSnAw3AQAAAAAAAFDZPACQlzUAIC9rAJCV4SYYj+8lORluAgAAAAAAAKCyeQAgL2sAQF7WACArw00wHt9LcjLcBAAAAAAAAEBl8wBAXtYAgLysAUBWhptgPL6X5GS4CQAAAAAAAIDK5gGAvKwBAHlZA4CsDDfBeHwvyclwEwAAAAAAAACVzQMAeVkDAPKyBgBZGW6C8fhekpPhJgAAAAAAAAAqmwcA8rIGAORlDQCyMtwE4/G9JCfDTQAAAAAAAABUNg8A5GUNAMjLGgBkZbgJxuN7SU6GmwAAAAAAAACobB4AyMsaAJCXNQDIynATjMf3kpwMNwEAAAAAAABQ2TwAkJc1ACAvawCQleEmGI/vJTkZbgIAAAAAAACgsnkAIC9rAEBe1gAgK8NNMB7fS3Iy3AQAAAAAAABAZfMAQF7WAIC8rAFAVoabYDy+l+RkuAkAAAAAAACAyuYBgLysAQB5WQOArAw3wXh8L8nJcBMAAAAAAAAAlc0DAHlZAwDysgYAWRlugvH4XpKT4SYAAAAAAAAAKpsHAPKyBgDkZQ0AsjLcBOPxvSQnw00AAAAAAAAAVDYPAORlDQDIyxoAZGW4Ccbje0lOhpsAAAAAAAAAqGweAMjLGgCQlzUAyMpwE4zH95KcDDcBAAAAAAAAUNk8AJCXNQAgL2sAkJXhJhiP7yU5GW4CAAAAAAAAoLJ5ACAvawBAXtYAICvDTTAe30tyMtwEAAAAAAAAQGXzAEBe1gCAvKwBAMAofC/JyXATAAAAAAAAAJXNAwB5WQMA8rIGAACj8L0kJ8NNAAAAAAAAAFQ2DwDkZQ0AyMsaAACMwveSnAw3AQAAAAAAAFDZPACQlzUAIC9rAAAwCt9LcjLcBAAAAAAAAEBl8wBAXtYAgLysAQDAKHwvyclwEwAAAAAAAACVzQMAeVkDAPKyBgAAo/C9JCfDTQAAAAAAAABUNg8A5GUNAMjLGgAAjML3kpwMNwEAAAAAAABQ2TwAkJc1ACAvawAAMArfS3Iy3AQAAAAAAABAZfMAQF7WAIC8rAEAwCh8L8nJcBMAAAAAAAAAlc0DAHlZAwDysgYAAKPwvSQnw00AAAAAAAAAVDYPAORlDQDIyxoAAIzC95KcDDcBAAAAAAAAUNk8AJCXNQAgL2sAADAK30tyMtwEAAAAAAAAQGXzAEBe1gCAvKwBAMAofC/JyXATAAAAAAAAAJXNAwB5WQMA8rIGAACj8L0kJ8NNAAAAAAAAAFQ2DwDkZQ0AyMsaAACMwveSnAw3AQAAAAAAAFDZPACQlzUAIC9rAAAwCt9LcjLcBAAAAAAAAEBl8wBAXtYAgLysAQDAKHwvyclwEwAAAAAAAACVzQMAeVkDAPKyBgAAo/C9JCfDTQAAAAAAAABUNg8A5GUNAMjLGgAAjML3kpwMNwEAAAAAAABQ2TwAkJc1ACAvawAAMArfS3Iy3AQAAAAAAABAZfMAQF7WAIC8rAEAwCh8L8nJcBMAAAAAAAAAlc0DAHlZAwDysgYAAKPwvSQnw00AAAAAAAAAVDYPAORlDQDIyxoAAIzC95KcDDcBAAAAAAAAUNk8AJCXNQAgL2sAADAK30tyMtwEAAAAAAAAQPUXf+OffNk88Od/7X/96S/8+v8mSXp4f+pX/r41QJKSZg2QJEmjFH0vMdz0fIabAAAAAAAAAKh+4Vd/68vmAUmSJEmSJEn6VL/7e3/w8//1kqcy3AQAAAAAAABAZbhJkiRJkiRJ0kgZbno+w00AAAAAAAAAVIabJEmSJEmSJI2U4abnM9wEAAAAAAAAQGW4SZIkSZIkSdJIGW56PsNNAAAAAAAAAFSGmyRJkiRJkiSNlOGm5zPcBAAAAAAAAEBluEmSJEmSJEnSSBluej7DTQAAAAAAAABUhpskSZIkSZIkjZThpucz3AQAAAAAAABAZbhJkiRJkiRJ0kgZbno+w00AAAAAAAAAVH/57/3vXzYP/Je/9g9/+qu//o8kSQ/vP/yVv/vTz/7s/3/vn2UNkKQcWQMkSdIo/cn3kpf/ffL3//CPfv6/XvJUhpsAAAAAAAAAqP7aP/idL5sHfvdf/R8//f7/9X9Kkh7eX/m1f2gNkKSkWQMkSdIoRd9LDDc9n+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW9P3dj+2//Tb/3013/1r/z0y7/4iz/97Gc/+1L556XyM+Vno8eQpKdnuEmSJI2S4aacDDcBAAAAAAAAUN1huKlsPo82p69p2sA+bWK3kV2Svvekje3l3l7u9dFasKZybPS4kvTUnrAGlHt/dE9fU/R4kiTpMxluyslwEwAAAAAAAADV04eblpoGnqLnlKQMZd/YHlXWBkOwkjL0hDUguo+vLXo8SZL0mQw35WS4CQAAAAAAAIAq83DTPP/FDkkZu/vG9j3/paZW1gVJT+/ua8DevxGix5QkSZ/JcFNOhpsAAAAAAAAAqAw3/Zj/kpOkTN11Y/vR/7WmdxlwkvTk7jzcdMQ6ED2uJEn6TIabcjLcBAAAAAAAAEBluOlrNrNLytIdN7ZfNdg0rzxndC6SdOfuPNx0xH+5L3pcSZL0mQw35WS4CQAAAAAAAIDKcFOcASdJGbrbxvZPDDZNGXCS9LTuOtx01FoQPbYkSfpMhptyMtwEAAAAAAAAQGW46X0GnCQ9vbttbO/9L3WU9SMaSir/rPy7nsezJkh6WnccbjpyyDV6fEmS9JkMN+VkuAkAAAAAAACA6gnDTe/+axrln08b2Hs3sU+V46LHlqQndKeN7a21YN67dSGqZ30w4CTpSd1xuKmn1roRHSNJkj6T4aacDDcBAAAAAAAAUD15uOldPRvZS9FjSNITusvG9nKfj+7Pr+0ZPlq7LvSuOZI0aoab4uMkSdL1GW7KyXATAAAAAAAAAFXG4aapctyazez+Sx2SntpdNra31oHSEffqq55HkkbIcFN8nCRJuj7DTTkZbgIAAAAAAACgyjzcNLVmwCk6TpLu3l02tkf35XlHDhytWRPKuhQdK0l3ynBTfJwkSbo+w005GW4CAAAAAAAAoDLc9K3WZnYb2SU9sTtsbG+tAaXouD211oQjh6kk6VMZboqPkyRJ12e4KSfDTQAAAAAAAABUhpu+Fz32lI3skp7YHTa2R/fkeUetAfPKY0bPNS86TpLulOGm+DhJknR9hptyMtwEAAAAAAAAQGW46Xs2QErK1ugb2z85ZNT6rzedMVQlSVdmuCk+TpIkXZ/hppwMNwEAAAAAAABQGW76sejxp8p5RMdI0l27+3DTmffl1tpjTZB09ww3xcdJkqTrM9yUk+EmAAAAAAAAACrDTT+29F/qsJFd0tMafWP7lff/qOg5p6wJku6e4ab4OEmSdH2Gm3Iy3AQAAAAAAABAZbjpx5aGm8q/i46RpLs2+sb2pXtyKTrmyKwJkp6c4ab4OEmSdH2Gm3Iy3AQAAAAAAABAZbjpx5aey0Z2SU9r9I3t5Z68VHTMkRlukvTkDDfFx0mSpOsz3JST4SYAAAAAAAAAKsNNP7b0XDayS3paT9/YvjfDTZKenOGm+DhJknR9hptyMtwEAAAAAAAAQGW46ccMN0nKlOGm5aK1YKqsF9ExknSXDDfFx0mSpOsz3JST4SYAAAAAAAAAKsNNP7b0XDayS3pahpuWi9aCKWuCpLtnuCk+TpIkXZ/hppwMNwEAAAAAAABQGW76sejxp2xkl/S0DDe9r6wt0VowdeTaI0mfyHBTfJwkSbo+w005GW4CAAAAAAAAoDLc9D0b2SVly3DT+6J1YJ41QdLdM9wUHydJkq7PcFNOhpsAAAAAAAAAqAw3fe/qDZDlvEvleX/5F38xfM7yz0vlZ6LHuLql8/3kuY5+Le/4XitHhpviyu9r9Hs6LzpOku6U4ab4OEmSdH2Gm3Iy3AQAAAAAAABAZbjpe9FjTx05cNJ6PUsdMfzS2rQfXc8t51zO9aj35l2fvpatRj8/yXBTXPn9i34vp/xuSnpChpvi4yRJ0vUZbsrJcBMAAAAAAAAAleGmb7U2sh/xHK2hop72DA61zmP+uEeccznX+fMf0SjX8l2jn580Zbjpa2t+f/1OSnpChpvi4yRJ0vUZbsrJcBMAAAAAAAAAleGm9mBTKTqupzXPsaUtg0OtjfvT9VyzwX9tW87zXSNdy6jRz0+aZ7jpx9bc9/xXmyQ9JcNN8XGSJOn6DDflZLgJAAAAAAAAgCrzcFM5bs0gytbHLx05IPSu3qGX1jmVf3/Gee8dzhnxWs4b/fykKMNNP3b2miBJI2W4KT5OkiRdn+GmnAw3AQAAAAAAAFBlHG4qP79mA3tp9GGXqZ7zbJ3Xmefd+15NjXotp0Y/P+ldhpu+t2Zd8F9tkvSkDDfFx0mSpOsz3JST4SYAAAAAAAAAqicPN5V/PlUeY83G9deix11b7/OVc5xXju95jPKz0Xm8tncQZzqv3vMrrT3H13qf56prOTX6+UnvMtz0rbX3xehYSbprhpvi4yRJ0vUZbsrJcBMAAAAAAAAA1ROGm86qbHaPzmdNa8+5DKmseZ61j7fmsbYMN5Xnjx5r3trhnDWPNW/ka1ka/fykpQw3rb8n+p2T9LQMN8XHSZKk6zPclJPhJgAAAAAAAAAqw01xezaxn7VRvvx8a4Co/Pvo2Hlrz6+05vHmrXnsnsd8yrX81PlJrbIPN531OyxJd8hwU3ycJEm6PsNNORluAgAAAAAAAKAy3PRjZWBk7yb21lBKac9ztB6/XK/ouKm1m/m3Ds+sefzouKjRr+Xo5ye1yj7ctOZ3uPxMdKwk3T3DTfFxkiTp+gw35WS4CQAAAAAAAIDKcNP39gyhTK0Z7DnieaLHnWptxF9zjqUzh3KiY14b/VqOfn7SmjIPN7XuUyW/Y5KenOGm+DhJknR9hptyMtwEAAAAAAAAQGW46dj/+k3rXI96rj2bNdcM5ew9zyOuwxGPsabW80THlEY/P2lNWYebWr9XU9GxkvSUDDfFx0mSpOsz3JST4SYAAAAAAAAAqozDTeXxSkf8V3Vei55vXnTM1pb+qyOj/xeHyvWPjpkXHTcvOmZrW65l9LPzomO2tvW9llplHG5acw8snbFGSNJIGW6Kj5MkSddnuCknw00AAAAAAAAAVE8YbpqGlUpLQyBTZ21Yb22YL+cXHbe1peuyNPCyZmN/dFxv0eNOta7F6NfyLu+11CrbcNOa+1+p/Fx0vCQ9KcNN8XGSJOn6DDflZLgJAAAAAAAAgOoJw02vm9DXDDjNf/6oPrGBMnqeqejnS1cN5iy9D62BnNGv5V3ea6lVtuGm6PfntaPugZI0eoab4uMkSdL1GW7KyXATAAAAAAAAANUTh5tK0c/NO+O/dtMaqoqO2Vv0PFPv/ssjdxhuGv1a3uW9llplGm5q/d6WWvcmSXpShpvi4yRJ0vUZbsrJcBMAAAAAAAAA1VOHm1oDPKWjhnimoueYVzbNH130PFPvXt8dhpuiY+bNr8FRRc8z9XpNop+ZFz3+3qLnmTr6s6w8ZRluav0OlcrPRMdK0lMz3BQfJ0mSrs9wU06GmwAAAAAAAAConjrcVFqzmf3I/+JN9Pif7N3AS2u46ahrsnT9W0ME0TGfrHe46eoMN2lrGYabWve8qSPXA0m6Q4ab4uMkSdL1GW7KyXATAAAAAAAAANWTh5tK0c/PO+q/1LF28/yVvXttrXM9aoP/1uGm0a/lnd5rqdXTN7av/X096r4nSXfKcFN8nCRJuj7DTTkZbgIAAAAAAACgevpw05qN7UcMhtxp4KV1rkdt8i/PHz1+aemaj34t7/ReS62evrE9+n15zX/5TFLWDDfFx0mSpOsz3JST4SYAAAAAAAAAqqcPN5WWhmym9g703GngpXWue6/F1NJ1XxrGGf1a3um9llo9eWP70j1oyu+OpMwZboqPkyRJ12e4KSfDTQAAAAAAAABUGYabSms2uUfHre1OAy+tc11zPde0dM2XBgpGv5Z3eq+lVk/d2L50/5nyeyMpe4ab4uMkSdL1GW7KyXATAAAAAAAAAFWW4aY1Ayl7Nrq3Hn/NOV7VVee6NFywdK1Hv5ajn5/U0xM3trd+R6f8rkrKnuGm+DhJknR9hptyMtwEAAAAAAAAQJVluKnUepxS+Zno2DVFjze153GP7qrhnK3DTaXomKkRrmV0XlMjvddSq6dtbDfYJEnrM9wUHydJkq7PcFNOhpsAAAAAAAAAqDINN5WWBm6mtm56jx5rynDTjxluksboSRvbW/e2qaPucZJ09ww3xcdJkqTrM9yUk+EmAAAAAAAAAKpsw02l6DFei45rtWeY58ruMNw0+rUc/fyktT1pY/vS7+WU309J+p7hpvg4SZJ0fYabcjLcBAAAAAAAAECVcbipNdxT2rIBvrWxPjrmE919uKkUHXNld3mvpVZP2dje+p0ste47kpQtw03xcZIk6foMN+VkuAkAAAAAAACAKuNwU2nNRvjyvNGx72qdZ+/jra28lp7HvsNw0+jXcvTzk9b2hI3trd/HqehYScqc4ab4OEmSdH2Gm3Iy3AQAAAAAAABAlXW4qRQ91mu9jx09xrzomD3Nr00ZfFlzvncYbipFx82LjtlT77Wcn0tUdMyetrzXUqu7b2xv3c+m/L5I0tcMN8XHSZKk6zPclJPhJgAAAAAAAACqzMNNazbFrxnCmbc00FPqfbyl3p1/6zlar/uoIYCla7HmOox+LUc/P2lNd97Y3rqXTR11T5Okp2W4KT5OkiRdn+GmnAw3AQAAAAAAAFBlHm4qtQZUSj0DJGs22x+x0X7N85TrtuXYI86vtHRt11zT0a/l6OcnrenOG9uj34XX/G5I0vsMN8XHSZKk6zPclJPhJgAAAAAAAACq7MNNpTUDTj3PcfTjvbZm2KX07jlax+85t3l7h5tKo1/L0c9PanXXje1rfvfW3mckKWuGm+LjJEnS9RluyslwEwAAAAAAAACV4ab1AyTRsVFrH2/LxvvWtZhauiat89t7PaeWhg/Wvva7X8upT52f1OqOG9uX7i3zomMlSd8z3BQfJ0mSrs9wU06GmwAAAAAAAACoDDd9a80gSc+AytrBlFL52egxpsrr63m81nm2BnKOGpZZGkB4yrUsjX5+0lJ329jeun9dmd8/SXfPcFN8nCRJuj7DTTkZbgIAAAAAAACgMtz0vaVhnKnWcMq8NY/3WjlmXvQzS5VjonOZ1xoOuOJ6rjnPeVuvxbzoZ5Yqx0TnErX18edFP7NUOSY6F6mnO21sH2mwqeR3UNLdM9wUHydJkq7PcFNOhpsAAAAAAAAAqAw3/Vj0+K/1PN+WoZWtrd1of8fhptKI13Le6OcnRd1lY/tog00lv4eS7p7hpvg4SZJ0fYabcjLcBAAAAAAAAEBluOnH1myg793QfsXQS8853XW4qTTatXxt9POTXrvLxvYrfrd687so6e4ZboqPkyRJ12e4KSfDTQAAAAAAAABUhpu+tmYTfe+m9jM35ve+/jsPN5VGupZRo5+fNO8OG9vP/J3a0577mCSNkOGm+DhJknR9hptyMtwEAAAAAAAAQGW4KS56ntd6n7f8/JGb9Mt12fLayzHR400ddT2XXuveoYBRruW7Rj8/aWr0je3lcx/9TozQ3vuYJH06w03xcZIk6foMN+VkuAkAAAAAAACAynBT3NoN9VueuxyzZ/Bl76BL67Xteex5S6/xqKGAT1/LVqOfnzTyxvby2Y9+L0bpqPuYJH0qw03xcZIk6foMN+VkuAkAAAAAAACA6g7DTU+ubLosLQ3ATD9jyGW50a/l6OennD19Y7sk6X3WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAFQ03/df/3f/y09/4zX8sSXp4v/SX/vuva8B/aw2QpAxZAyRJ0ij90l/++r3EcNPzGW4CAAAAAAAAoPqFX/2tL5sHJEmSJEmSJOlT/e7v/cHP/9dLnspwEwAAAAAAAACV4SZJkiRJkiRJI2W46fkMNwEAAAAAAABQGW6SJEmSJEmSNFKGm57PcBMAAAAAAAAAleEmSZIkSZIkSSNluOn5DDcBAAAAAAAAUP21f/A7XzYP/J1/8W9++h/+5b+VJD28/+Rv/lNrgCQlzRogSZJG6T8Ovpf8/h/+0c//10ueynATAAAAAAAAAFU03PQ//99/9NM/+dc/SZIe3n/2G9YAScqaNUCSJI1S9L3EcNPzGW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknK2xM3tv+tf/TP/6T//L/6tZ/+9J/5j3762c9+9qXyz0vlZ6LHkKQMPXW4ac0aUP69NWBd07WM/t0dKu95+UxE/2707n7tJaknw005GW4CAAAAAAAAoBp9uKlsRHvdkLhU2fw1ZdOiJC33pI3t5X4frQtrs15IytaT1oBpoCm6v7cyPPK++d9i5TrdbUionPN0/ndb58+69tNj3iW/n1KeDDflZLgJAAAAAAAAgOppw01LlY1RNq9L0veesLH9yHWiZBOtpCw9Zbhp73DrlL8Tvnbn6xR9Lo4cEjq713MvHXHto8cdueg1SHpmhptyMtwEAAAAAAAAQJVpuGmezeuSdP+N7eVeHt3jj+gum58laWt3XwPKffrodcDfCN9burbl3428Trb+hhx9QOvMax895qgZOJRyZbgpJ8NNAAAAAAAAAFRZh5umbJiSlLm7bmw/e22Yssld0pO783DT2evAnuGRJ7Tm+kbHjdLScFBp5L8Bz7720eONmO9gUr4MN+VkuAkAAAAAAACAKvtwU8nGKUlZu+PG9ivWhXnWCElPzYDrcuV5oud/emuu78jXpjXYNPK6fsW1jx5zxLL+/kmZM9yUk+EmAAAAAAAAACrDTd+yeV1Sxu64sb21aTmqHDMV/ftW1ghJTyzLgOt8DehdBzIOWETXYd7I/9Wjcm7ROc+Ljhul6HznHXHto8cdLd+7pJwZbsrJcBMAAAAAAAAAleGm79lEJSlbd9vYvmbT8lT52aVN6eXf92xyz7jBXdKze/KA65o1IDrutWx/H7Su78jXY83fjSOv5Vdd++ixRys6b0nPz3BTToabAAAAAAAAAKjuPtxUNia+O67Uu3l95A17knR0d9rYvmbTcqn3Pn7W40rS6N1tuGnNd/ree/UZj3nX1qyH5WeiY0eo9V6O/D7e/dr3FL22ee/+vpf0/Aw35WS4CQAAAAAAAIDqqcNNUWv/f2h/ysYxSWp1p43ta+7he+7faza423Ar6Uk9bcB16/DKmvv/0/8+WHN9R74GBpvu0Z3fJ0nnZ7gpJ8NNAAAAAAAAAFSZhptK5fFsqpKkb91lY/tVG3+tD5IydafhpuiePG/v/Tn7/T96zfNGHu5dM/wcHTdK0fnOe8pg9VXf5STdN8NNORluAgAAAAAAAKDKNtw0FT3WvOgYSXpad9nY3tq4fNSm8zUbb6PjJOmOPWXA9ag1oDXg9JQhk9fuPNh194GZO1/73jK9VknbMtyUk+EmAAAAAAAAAKqsw01nPa4k3am7bGxvbYg9cuNy67msD5Ke0l3WgOhePO+oNaD198EThy9ar7l05Bp7dHcemLn7te+pNaReio6TlCvDTTkZbgIAAAAAAACgyjrcVFraDPfEzYuS9NpTNrZHx+wpeo4p64Okp3SHNeDMvwWiWsMyTxpwvftwTeu9Gnm9vvu17y16ffMMjksqGW7KyXATAAAAAAAAAFXm4aZybPSYU9ExkvSkbGyPW9owbbhJ0lO6wxoQ3YfnRcfsLXqeqSetAYaDPtedr31vmV6rpH0ZbsrJcBMAAAAAAAAAVebhptZjR8dI0pO6w8b2cp8vG1/fdcbm5fK40bowFR0jSXdr9DXgzL8Dlsrw/wFCa50r/z46boRan4vSGd8NjurO1763u79Xkq7NcFNOhpsAAAAAAAAAqDIPN5Wix5yKfl6SntQdhps+UYaN7ZI0+hrQuhefORQRPd/UWUNVV3X3gRODWfcp0yCXpP0ZbsrJcBMAAAAAAAAAleGm+HFLT9pYJklRhpviDDdJytDoa0B0/506eyhiaSjjzgMZdx+uufOwzN2vfW+t71J3/j2SdE6Gm3Iy3AQAAAAAAABAZbgpftzSkzaXSVKU4aY4w02SMjTyGtD6G+Ds7+lPXQcMB32uO1/7LUWvcZ6/tSW9ZrgpJ8NNAAAAAAAAAFSGm+LHLdlwJenpGW6KW9rU7r80IOkpjbwGtIaLrvieHj3v1N6/QT5Ra7imFB03Qq2/CUsjvyd3vvZbyjbIJemYDDflZLgJAAAAAAAAgCrzcFPrsaNjJOlJGW6Ki9aEqTtuaJekqJHXgNZwRHTM0S2dw92GM9YMB10xMLa1Ow/L3P3a97bm9UbHSZLhppwMNwEAAAAAAABQGW6KH7cUHSNJT8pw09daa8OTNiBLyt3Ia0B0/526asi0PE/0/FPRMSO2Zthk5LXNYNO9ar1fhsQlvctwU06GmwAAAAAAAACoMg83LW1YtOlKUoYMN33tKZvZJanVqGtA6/v/VcMgT1kPDAd9rjtf+y21fmee9nolHZvhppwMNwEAAAAAAABQZR5uih5vauRNcpJ0VIabfqy15tiUK+lJGW5qFz3/1B3+P0NoDZuUouNGKTrfeSO/B3e/9luKXuM8f2NLWspwU06GmwAAAAAAAACosg43tR43OuboyjmU8y+b5d/9/+pd/nn5mVE2gi2d72jnKqmd4abvtdaFkvubpCc16hpQvk9G9+Cp6Jizip5/qpxndMwo3X1de/f30VT599FxI5TxO8Wd3y9JY2S4KSfDTQAAAAAAAABUGYebWo955kaz8titjV9LHTE8tPT80aazrec8+oZPSYabplrrQsmmXElPa9Q1oPe76pmNdC49rVnXys+Uynf26HWWf1b6xHf6petemq79dO7Rz0/nXl7j6+Of2d2v/ZbWvOboOEmaZ7gpJ8NNAAAAAAAAAFTZhptaj1c2kUXHHVG0cW1reza6LZ3H6+s/4pzLNZ8/pqRxyjzcNG0qju5bUe5lkp7WqGtAdA+eunrYo+d780it+Q7f+z2//PwVa2Hr77VS77mXrvrs3Pnab631eq7+vZV0zww35WS4CQAAAAAAAIAqy3BTeZw1m9jP2DS2ZoPe1rac79Lms/Lv1vxcb2dcV0n7yzLcNK0BpS33NvcwSU/McFO71t8P0TGfbs3fPHua/71wRtFzHtmZa/rdr/2WWq95xHOWNGaGm3Iy3AQAAAAAAABA9dThpnLctJk9Oi7qjI1uRw4Ivav3vJfOadp8dsZ5n3F9Je0ry3DTnnuae5ekp2a4qV3rb4nomE9W1qzoPM/orn87laa/eY7s7td+a9H5zfM9StLaDDflZLgJAAAAAAAAgOruw01HdefNeaWe8186r/LvegbCejpjE6GkfRluWs6GXElPbsQ1oPXd/+r78p2Gm1rX7oyOHDa78m+nUnm+oz5Pd7/2W2u9Z/7+k9ST4aacDDcBAAAAAAAAUBluOmdjWO95l41f5Tzm9W7wW7s5r/dx55Vj50U/s9RRGwglHZPhprjy89HjSNKTMtzUbrTzWWrLd/MjOmLNbF3nMzviPbzztd/amvcsOk6S3mW4KSfDTQAAAAAAAABUhpu+VzaHHbVBMXr8qDWDVeWc1myYW7u5rXfz3Zrr0vM+RcdL+kyGm+LW3Pck6e4Zbmo32vm8q3WeZ7fmb5qletfpo4vOaW13v/Zbi85l3qfOS9J9M9yUk+EmAAAAAAAAACrDTV8rm+uic1nbms15W56jbBCLHmvemg2WPZsHezdsrnns3seUdF6Gm5bbcq+WpLtkuKndaOcT1TrHqPJ3RTkuOv/y77asm1uvRe9zlZ+fzv/1sco/W/M302tb1/vyfNHjLTXStd9a6xy3Xk9JuTPclJPhJgAAAAAAAAAqw03v27JJbM357tnstebxo+Pmrd0wt3WTXOvxy6a96DhJ12e4qZ0NupKemuGmdqOdT1TPGvduKOhdPYNCW9bL1vWdVx6/5++I8tg912bLe3nna7+1Ne/ZlmspSYabcjLcBAAAAAAAAEBluGm53o1ZrQ1uR2w8a210a53zmk14e86z9Z71bEqUdG5ZhpteK/epci9acz8sHXHvlqTRMtzUbrTzea11flNlHdtzrmvXy97v+Wc97ry116gUHf+uu1/7rbXOp/z76DhJamW4KSfDTQAAAAAAAABUdx9uKpu4ys+8q/z7UtlktXZj2GvlcaJzi4qOnxcds6XosadaG9vWXIfouJ6ix5wXHSPp+rION80r9/g190WbdSU9rVHXgOgePHXVAMdUWSOi85jq+TvhjK5cv9Y8Vyk6Nqp1baeOuMZrn6vn83Xna7+1cn2i550XHSdJazLclJPhJgAAAAAAAACqJww3RcctVY5Zu0FsKnqc11qbvbac67ta12VpE2DrtR+xCa91LaJjJF2f4abvrVkXjryPS9KnM9zUbuTvtGsGdo74Xj/vyLVyzWMt/U3T25rrVYqOfe3u135r0XPO8z1J0p4MN+VkuAkAAAAAAACAKuNw07zWhsWpNZvTWhvOomP2FD3H1NJGwNZ5HrEprXVdo2MkXZ/hph9bs3E4Ok6S7pjhpnYjf6dtnduav1+2dNRaGR0378jBpqk1Q0lrPmN3v/Zbaj33Wa9ZUp4MN+VkuAkAAAAAAACAKvtw09SajWKtDXbRMVNHnee8pU11S8/Xeq3RMb213rczNitK6s9w09da98gz7ueS9IlGXQOW7sNXD1Asfd8uRcdcVXQ+8876vt36nl9qrZWt63rm+9xa50vRcfOiY+aNfO23tOZ5z3rNkvJkuCknw00AAAAAAAAAVIabvtfa6La0ye7K85xa2hS4dK6t1xkd01vretj8Jo2R4aa46L41tXR/laQ7Zbip3UjnMu8Tf3vMW7oupdbzt46Pjjmq1rUrRcdN3f3ab6n1nJ/8XZD0nAw35WS4CQAAAAAAAIDKcNOPRc8xLzqmVM4j+vl5ZdPX0UXPMxWdZ2nrcT213rfy76PjJF2b4aa4K+6TkvTpRl0DWt+ro2POKnr+qbOHWJZqXaMrvmtHzztV1tHomKnomKnWsUe05/rd/dr31nq9peg4SerNcFNOhpsAAAAAAAAAqAw3/Vhr89a751uz6evqovMsLW3aP2ozXOt9u2LTn6R2hpveF927po5eeyTpExluWm7k77PR+cyLjjm6pb8pStExpa1/bx3Znr8xo5+fFx1zdFuv/Zaix5/n7zpJR2W4KSfDTQAAAAAAAABUhpu+Fj3P1Lvhn9YGs0/0bqPZ0rm+e329td43m+CkMTLc9L7o3jV11L1Skj7ZyGtAdO+dumL4pTTy99nofKauuj7leaLnn4qOKW097uii555auobRz0+Nfu17a/2N6/uQpCMz3JST4SYAAAAAAAAAKsNNX2tt4tpyzCd6t+Fy6VyP2qA28mZQSd8z3PS+K+6VkvTJ7jrcdNU9eJQhnNdG+Z7duj6f/FtkTdHzT707j7tf+55ar7UUHSdJWzPclJPhJgAAAAAAAAAqw01f27KRcWmT3qd6t6ntig2FrfftiA13kvZnuOl9o25ql6SjGnkNuOL7aqvouafO+BtkbaN8z956HiO8t6Ut53H3a9/T0vUpffJ3QNIzM9yUk+EmAAAAAAAAACrDTV9rbWiPNou1Nn99oneb2rZs5Ovtig13kvZnuOl9hpskPb2R14BP34M/8TfI2kb5nr31PK74W2RNW87j7td+ba3fvyvfJ0l5MtyUk+EmAAAAAAAAACrDTV9rbeaKNouNsklvTVec69kb7iQdk+Gm9316Y70knd3oa0B07506e7hoy98DV/WJv4+itn7fX/pbpBQdc0Zb/ia6+7VfW/SY8/Y+viRFGW7KyXATAAAAAAAAAJXhpq9t2czYOub15z+Z4SZJU4ab3nen+7okbWn0NeCK76zvip5zXnTMlUXnNHXVgM3WdXKU9TV67qmlaxj9/NTo135NS793pbN/9yTlzXBTToabAAAAAAAAAKgMN32ttaHLcFM7w03SPbrDxvZ3nb2BuDxHdP+aio6RpDs1+hrQ+n591vfJT/z90dvSGlX+XXTM0W39+2eUvxOi555aeo/vfO1btd6bUnScJB2R4aacDDcBAAAAAAAAUBlu+lr0PPOiY0bZpLemKzbk3el6SJkbfWN7dP+YOnsDcfScU1dtXpakMxt9DShF9+Cps+7FrcGREb7HLn2fL0XHHF30vFNLf6O1/k444++71/YMB9352rdqvbYr3htJeTPclJPhJgAAAAAAAAAqw00/1nq+d5soR9ikt7alTWvvXl9vretR/n10nKRrG31j+6c2EN/pni5JW7vDcNPV68DWvwWurqxD0flNnb1OtZ6/9V0/OmZedMyRRc851XqP737t39V63FE++5Kem+GmnAw3AQAAAAAAAFAZbvqx6DnmLT1f9PPzomP2Vs6n1LOJbWmT6FGb1lrv29ZNd5KO7e7DTUevAVPlcaPnm3IPk/SE7jDc1LofHz1w0Vp3Rrr/R+c3LzrmqKLnmxcdM6/1vp61vpeOeO7ouHnRMUcVPd+86Jg1RY81z3cfSWdnuCknw00AAAAAAAAAVIabvtfa6FZa2tR1xEa53rY8vuEmSVOjb2xv3VeP3tReat2/StFxknS37jDcVLpq4Ohu9//WdTljjSy1nnfN3yRrrvUZfy8c9R7f+dpHfer1SNI8w005GW4CAAAAAAAAoDLc9K01G91K0bFTV2/Se7cJrfUcS5vXjtq41roWR14HSdu7w8b26B4y76h1YKq1wffo55OkT3WX4aZy343ux/Oi43qLHnfeiN9fo/Ocd/RQypr3Yu11OvKx1hY9x7ye6xUdP2/kaz+vHBM91rzoOEk6OsNNORluAgAAAAAAAKAy3NTeyD61ZrNY67GO2uS25pyj40pLxx51fq33bcvGO0nHd4eN7Wvud0fdU658Lkn6dHcZbiq17s97v8Oe/fhntWbdOurc1wzX9Pxt1vp7YeqIdbc8xpprFR37rjtf+3mt13HE39uStCbDTTkZbgIAAAAAAACgyjrcVB53zSaxqbUb09Zs0tu7yW3vRrql4/ee21TrOpR/Hx0n6drusrE9uo+8tnfz7d57qyTdrTsNN531Hbs87pr7/1HfXcvjlPVq6ojHjc73tb3r15prVIqOXWrt32N7rlM5NnrM17Z8j4ge57VRr32pdf33nrsk9WS4KSfDTQAAAAAAAABUWYabyuOU1m6ge61nQ93aDWg9j1kqP7/msVub0JYe46gNbOVco8ef6n3tks7pLhvb195Xy89tubdGjxXl3iXpSd1puKm0di1Ye69ee//fMvQS9e759n7/7lnHel9Lz99OW9fIs9b48rM9jx09Rqu7X/voseZtfVxJ2pLhppwMNwEAAAAAAABQ3X246Yq2bOqKHidqzSa9srFt7ca8Uuvxlh5r68a+11rv25ZrKun47rSxvec+WH52aRNxuQe17lOv9W5KlqTRu9twU2ntWvBuHSj3/p6hkau+G+99nt41ben69F6j0t41cu37OlWer5zn6+NM5977eK+P09Ndr33rGpV/Hx0nSWdluCknw00AAAAAAAAAVIablivPH51Xq63nXTaRzYt+Zqk157v0uOXfRcf01nr9W6+rpGO708b2rffV0p77aumoe6MkjdQdh5tK0X36rI76zho99mvRcT1tXeP2dsQauWeN39sR7/Hdrv2a6x0dJ0lnZrgpJ8NNAAAAAAAAAFSGm963d6Pb1ee+9nyXNt8dsTmx1Hrte6+tpGO628b2q++rpaPui5I0WncdbrpqLTjq++ra8936X+CZ1/tf/dnbkWtkuU5Lf6ec0VHvcelO1751nY/4LEpSb4abcjLcBAAAAAAAAEBluOlrR27muur8ezbmLW1mO2qDYut1H7mRUNL27rixvdw/rtr8bHOvpCd31+Gm0tnfsY/8rrr2XI9ac86+NlNnrZFXrPHlOY58j6fucO3LsdFjTh3196Ak9Wa4KSfDTQAAAAAAAABUhpu+VzZ63W2T25bNZ0sbBo/azNZ6zWdcZ0n93Xlj+9K97IjcpyQ9vTuvAVNHrwVHfRd+LXqu145ed85cJ89eI1t/S+zprPd43sjXvjXc5PuPpE9luCknw00AAAAAAAAAVNmHm8rmrj3/P1/31NpI1lPZMLf1vJc22x212a/1vtk0J43R3Te2l3vJ0RuIr1oTJOnTPWG4qXTUd+wz7/9r1qrouL0dvU5evUYe9d6WynW48m+Qka/9u3Mr/yz6eUm6IsNNORluAgAAAAAAAKDKNNxUNmuVTWGlKze2vbZnk970GqLHXdvSJrujNrS13rdPXn9J33vKxvZ3m3R7cl+SlK2nrAFTW79jX/W3wdI6dfbz710n9/79sbe9fz99co0f+dqXc5s/V/QzknRVhptyMtwEAAAAAAAAQDX6cNOTK5vJyma1pc16ZSPc9DPRY0jSnp62sb003VvL/TPaTDz98/Izn9zsLEmf7olrQGn67ry0DnxqDZjOazqXT5xHz/UZbZ0s5zM//+jc5+cfPcYnm5/7u/Ofzv3K85/OK/p3knRVhptyMtwEAAAAAAAAQGW4SZLy9tSN7ZKkdtYASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAACq/+I3/+mXzQP/6X/zz376c3/7tyVJD+8/+JX/0RogSUmzBkiSpFGKvpcYbno+w00AAAAAAAAAVL/wq7/1ZfOAJEmSJEmSJH2q3/29P/j5/3rJUxluAgAAAAAAAKAy3CRJkiRJkiRppAw3PZ/hJgAAAAAAAAAqw02SJEmSJEmSRspw0/MZbgIAAAAAAACgMtwkSZIkSZIkaaQMNz2f4SYAAAAAAAAAfvCH/88f/9Af/7//nyQpSdYAScqbNUCSJI3S6/cSns9wEwAAAAAAAAAAAAAAAPARhpsAAAAAAAAAAAAAAACAjzDcBAAAAAAAAAAAAAAAAHyE4SYAAAAAAAAAAAAAAADgIww3AQAAAAAAAAAAAAAAAB9huAkAAAAAAAAAAAAAAAD4CMNNAAAAAAAAAAAAAAAAwEcYbgIAAAAAAAAAAAAAAAA+wnATAAAAAAAAAAAAAAAA8BGGmwAAAAAAAAAAAAAAAICPMNwEAAAAAAAAAAAAAAAAfIThJgAAAAAAAAAAAAAAAOAjDDcBAAAAAAAAAAAAAAAAH2G4CQAAAAAAAAAAAAAAAPgIw00AAAAAAAAAAAAAAADARxhuAgAAAAAAAAAAAAAAAD7CcBMAAAAAAAAAAAAAAADwEYabAAAAAAAAAAAAAAAAgI8w3AQAAAAAAAAAAAAAAAB8hOEmAAAAAAAAAAAAAAAA4CMMNwEAAAAAAAAAAAAAAAAfYbgJAAAAAAAAAAAAAAAA+AjDTQAAAAAAAAAAAAAAAMBHGG4CAAAAAAAAAAAAAAAAPsJwEwAAAAAAAAAAAAAAAPARhpsAAAAAAAAAAAAAAACAjzDcBAAAAAAAAAAAAAAAAHyE4SYAAAAAAAAAAAAAAADgIww3AQAAAAAAAAAAAAAAAB9huAkAAAAAAAAAAAAAAAD4CMNNAAAAAAAAAAAAAAAAwEcYbgIAAAAAAAAAAAAAAAA+wnATAAAAAAAAAAAAAAAA8BGGmwAAAAAAAAAAAAAAAICPMNwEAAAAAAAAAAAAAAAAfIThJgAAAAAAAAAAAAAAAOAjDDcBAAAAAAAAAAAAAAAAH2G4CQAAAAAAAAAAAAAAAPgIw00AAAAAAAAAAAAAAADAR/zJcFP5fwAAAAAAAAAAAAAAAACu9e/+3b8Hj2PHDLPSgB8AAAAASUVORK5CYII=\" alt=\"A table contains bowler's name and type of dismissal. The table rows are color-coded by the bowler's name. This table is transformed into a summary table containing the total number of wickets for each unique bowler and the number of bowled or LBW. This table is then transformed by calculating the proportional of bowled or LBW to the total wickets for each bowler. Entries below the thresholds for total wickets or for proportion of bowled/LBW are crossed out. The remaining entries are then sorted by the proportion column to produce the final result table.\" data-image-state=\"image-loaded\" width=\"846\" height=\"681\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 469.967px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 234.983px; transform-origin: 404px 234.983px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 236px 8.5px; tab-size: 4; transform-origin: 236px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003eb = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 340px 8.5px; tab-size: 4; transform-origin: 340px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003ew = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 76px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 76px 8.5px; \"\u003e\"caught and bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 236px 8.5px; tab-size: 4; transform-origin: 236px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 80px 8.5px; transform-origin: 80px 8.5px; \"\u003ewickets = table(b,w,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 60px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 60px 8.5px; \"\u003e'VariableNames'\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e,[\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"Bowler\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 44px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 44px 8.5px; \"\u003e\"Dismissal\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e])\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 36px 8.5px; tab-size: 4; transform-origin: 36px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewickets =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  8\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e2 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 80px 8.5px; transform-origin: 80px 8.5px; \"\u003e    Bowler          \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 76px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 76px 8.5px; \"\u003e___________________\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e       \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003e              \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003e           \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003e              \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003e              \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 40px 8.5px; transform-origin: 40px 8.5px; \"\u003e          \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003e           \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 76px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 76px 8.5px; \"\u003e\"caught and bowled\"\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 160px 8.5px; tab-size: 4; transform-origin: 160px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewwprop = wicketwicketprop(wickets,2,0.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 32px 8.5px; tab-size: 4; transform-origin: 32px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewwprop =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  2\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e3 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003e    Bowler     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003eWickets\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003eWWProp \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 88px 8.5px; transform-origin: 88px 8.5px; \"\u003e       2             1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 96px 8.5px; transform-origin: 96px 8.5px; \"\u003e         3       0.66667\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function ww = wicketwicketprop(w,nthresh,rthresh)\r\nww = sort(w);\r\nend","test_suite":"%% Bowlers from Australia\r\nb = [\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"JR Hazlewood\";\"PJ Cummins\";\"MA Starc\";\"PJ Cummins\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"JR Hazlewood\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"MA Starc\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"SM Boland\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"NM Lyon\";\"C Green\";\"SM Boland\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"SM Boland\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"SM Boland\";\"C Green\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"C Green\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"PJ Cummins\";\"SM Boland\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\"];\r\nw = [\"caught and bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught and bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught and bowled\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,18,0.1);\r\nassert( isequal(wwprop.Bowler,[\"PJ Cummins\";\"MA Starc\";\"SM Boland\";\"NM Lyon\"]) )\r\nassert( isequal(wwprop.Wickets,[44;30;18;33]) )\r\nassert( max(abs(wwprop.WWProp - [0.386363636363636;0.333333333333333;0.277777777777778;0.272727272727273])) \u003c 1e-3 )\r\n%% Bowlers from Bangladesh\r\nb = [\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Nayeem Hasan\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Khaled Ahmed\"];\r\nw = [\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught and bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"stumped\";\"lbw\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"stumped\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,9,0.4);\r\nassert( isequal(wwprop.Bowler,[\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Taijul Islam\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\"]) )\r\nassert( isequal(wwprop.Wickets,[12;15;44;25;42;18]) )\r\nassert( max(abs(wwprop.WWProp - [0.583333333333333;0.533333333333333;0.522727272727273;0.48;0.476190476190476;0.444444444444444])) \u003c 1e-3 )\r\n%% Bowlers from England\r\nb = [\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"MA Wood\";\"MM Ali\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MM Ali\";\"MM Ali\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"C Overton\";\"C Overton\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MM Ali\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"CR Woakes\";\"OE Robinson\";\"JM Anderson\";\"CR Woakes\";\"OE Robinson\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"CR Woakes\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"CR Woakes\";\"C Overton\";\"SCJ Broad\";\"SCJ Broad\";\"DM Bess\";\"SCJ Broad\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"DM Bess\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"MJ Leach\";\"MM Ali\";\"MJ Leach\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"MM Ali\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"MJ Leach\";\"JM Anderson\";\"BA Stokes\";\"BA Stokes\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"MA Wood\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"MA Wood\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"MA Wood\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"C Overton\";\"MA Wood\";\"BA Stokes\";\"CR Woakes\";\"BA Stokes\";\"MJ Leach\";\"C Overton\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"BA Stokes\";\"BA Stokes\";\"MJ Leach\";\"CR Woakes\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"BA Stokes\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"CR Woakes\";\"BA Stokes\";\"C Overton\";\"JE Root\";\"OE Robinson\";\"MJ Leach\";\"MA Wood\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"JE Root\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"SCJ Broad\";\"BA Stokes\";\"OE Robinson\";\"JE Root\";\"BA Stokes\";\"JM Anderson\";\"JM Anderson\";\"BA Stokes\";\"CR Woakes\";\"JM Anderson\";\"SCJ Broad\";\"OE Robinson\";\"OE Robinson\";\"JE Root\";\"JE Root\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"JM Anderson\";\"OE Robinson\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"MA Wood\";\"MJ Leach\";\"MA Wood\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"OE Robinson\";\"SCJ Broad\";\"OE Robinson\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"CR Woakes\";\"SCJ Broad\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"SCJ Broad\";\"MJ Potts\";\"MJ Potts\";\"MJ Potts\";\"JM Anderson\";\"JM Anderson\";\"MJ Potts\";\"BA Stokes\";\"JM Anderson\";\"MJ Potts\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\";\"MJ Potts\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"JM Anderson\";\"MJ Leach\";\"JM Anderson\";\"SCJ Broad\";\"SCJ Broad\";\"MJ Leach\";\"MJ Potts\";\"JM Anderson\";\"MJ Leach\";\"MJ Potts\";\"SCJ Broad\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"lbw\";\"stumped\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,14,0.3);\r\nassert( isequal(wwprop.Bowler,[\"MM Ali\";\"BA Stokes\";\"MJ Leach\";\"CR Woakes\";\"JE Root\";\"OE Robinson\"]) )\r\nassert( isequal(wwprop.Wickets,[14;19;48;18;16;39]) )\r\nassert( max(abs(wwprop.WWProp - [0.5;0.421052631578947;0.333333333333333;0.333333333333333;0.3125;0.307692307692308])) \u003c 1e-3 )\r\n%% Bowlers from India\r\nb = [\"Mohammed Siraj\";\"RA Jadeja\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Siraj\";\"R Ashwin\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Siraj\";\"I Sharma\";\"I Sharma\";\"I Sharma\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Siraj\";\"RA Jadeja\";\"SN Thakur\";\"RA Jadeja\";\"SN Thakur\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"SN Thakur\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"R Ashwin\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"I Sharma\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"Mohammed Shami\";\"I Sharma\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"I Sharma\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Shami\";\"Mohammed Shami\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"R Ashwin\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"SN Thakur\";\"JJ Bumrah\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"R Ashwin\";\"UT Yadav\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"RA Jadeja\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"UT Yadav\";\"R Ashwin\";\"RA Jadeja\";\"AR Patel\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"RA Jadeja\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"RA Jadeja\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"AR Patel\";\"JJ Bumrah\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught and bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"stumped\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"stumped\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"lbw\";\"stumped\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,9,0.1);\r\nassert( isequal(wwprop.Bowler,[\"RA Jadeja\";\"JJ Bumrah\";\"I Sharma\";\"AR Patel\";\"SN Thakur\";\"R Ashwin\";\"Mohammed Shami\";\"UT Yadav\";\"Mohammed Siraj\"]) )\r\nassert( isequal(wwprop.Wickets,[26;47;14;39;26;67;34;10;31]) )\r\nassert( max(abs(wwprop.WWProp - [0.576923076923077;0.574468085106383;0.5;0.461538461538462;0.423076923076923;0.417910447761194;0.411764705882353;0.4;0.258064516129032])) \u003c 1e-3 )\r\n%% Bowlers from New Zealand\r\nb = [\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"N Wagner\";\"MJ Henry\";\"AY Patel\";\"TA Boult\";\"TA Boult\";\"AY Patel\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"AY Patel\";\"AY Patel\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"KA Jamieson\";\"KA Jamieson\";\"AY Patel\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\";\"MJ Henry\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"TG Southee\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught and bowled\";\"caught and bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,12,0.4);\r\nassert( isequal(wwprop.Bowler,\"AY Patel\") )\r\nassert( isequal(wwprop.Wickets,21) )\r\nassert( max(abs(wwprop.WWProp - 0.476190476190476)) \u003c 1e-3 )\r\n%% Bowlers from Pakistan\r\nb = [\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Nauman Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Faheem Ashraf\";\"Hasan Ali\";\"Faheem Ashraf\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Nauman Ali\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,15,0.5);\r\nassert( isequal(wwprop.Bowler,\"Hasan Ali\") )\r\nassert( isequal(wwprop.Wickets,43) )\r\nassert( max(abs(wwprop.WWProp - 0.558139534883721)) \u003c 1e-3 )\r\n%% Bowlers from South Africa\r\nb = [\"A Nortje\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"PWA Mulder\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"KA Maharaj\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"K Rabada\";\"L Ngidi\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"K Rabada\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"L Ngidi\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"L Ngidi\";\"L Ngidi\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"PWA Mulder\";\"D Olivier\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"D Olivier\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"D Olivier\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"M Jansen\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"caught and bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,9,0.2);\r\nassert( isequal(wwprop.Bowler,[\"KA Maharaj\";\"D Olivier\";\"SR Harmer\";\"PWA Mulder\";\"A Nortje\"]) )\r\nassert( isequal(wwprop.Wickets,[40;11;13;12;25]) )\r\nassert( max(abs(wwprop.WWProp - [0.45;0.363636363636364;0.307692307692308;0.25;0.24])) \u003c 1e-3 )\r\n%% Bowlers from Sri Lanka\r\nb = [\"AM Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"AM Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"AM Fernando\";\"AM Fernando\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"RAS Lakmal\";\"L Embuldeniya\";\"RAS Lakmal\";\"RAS Lakmal\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"L Embuldeniya\";\"L Embuldeniya\";\"MVT Fernando\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"RAS Lakmal\";\"L Embuldeniya\";\"RAS Lakmal\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"RAS Lakmal\";\"MVT Fernando\";\"RAS Lakmal\";\"RAS Lakmal\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"P Jayawickrama\";\"RAS Lakmal\";\"RAS Lakmal\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"RTM Mendis\";\"RTM Mendis\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"MVT Fernando\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"L Embuldeniya\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"RAS Lakmal\";\"P Jayawickrama\";\"P Jayawickrama\";\"L Embuldeniya\";\"P Jayawickrama\";\"P Jayawickrama\";\"P Jayawickrama\";\"MVT Fernando\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"P Jayawickrama\";\"RTM Mendis\";\"RTM Mendis\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"RAS Lakmal\";\"P Jayawickrama\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"L Embuldeniya\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"P Jayawickrama\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"RTM Mendis\";\"RTM Mendis\";\"P Jayawickrama\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"RTM Mendis\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"AM Fernando\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"AM Fernando\";\"L Embuldeniya\";\"AM Fernando\";\"CAK Rajitha\";\"AM Fernando\";\"AM Fernando\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"AM Fernando\";\"AM Fernando\";\"AM Fernando\";\"CAK Rajitha\";\"AM Fernando\";\"CAK Rajitha\";\"AM Fernando\";\"AM Fernando\";\"RTM Mendis\";\"AM Fernando\";\"AM Fernando\"];\r\nw = [\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"hit wicket\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"bowled\";\"lbw\";\"caught and bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught and bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,15,0.2);\r\nassert( isequal(wwprop.Bowler,[\"RTM Mendis\";\"MVT Fernando\";\"L Embuldeniya\";\"P Jayawickrama\";\"RAS Lakmal\"]) )\r\nassert( isequal(wwprop.Wickets,[27;17;41;25;20]) )\r\nassert( max(abs(wwprop.WWProp - [0.518518518518518;0.470588235294118;0.439024390243902;0.4;0.4])) \u003c 1e-3 )\r\n%% Bowlers from West Indies\r\nb = [\"KAJ Roach\";\"JA Warrican\";\"JA Warrican\";\"JA Warrican\";\"JA Warrican\";\"RRS Cornwall\";\"ST Gabriel\";\"RRS Cornwall\";\"RRS Cornwall\";\"RRS Cornwall\";\"ST Gabriel\";\"RRS Cornwall\";\"JA Warrican\";\"ST Gabriel\";\"JA Warrican\";\"JA Warrican\";\"ST Gabriel\";\"ST Gabriel\";\"RRS Cornwall\";\"AS Joseph\";\"RRS Cornwall\";\"RRS Cornwall\";\"RRS Cornwall\";\"RRS Cornwall\";\"ST Gabriel\";\"AS Joseph\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"JO Holder\";\"JO Holder\";\"JO Holder\";\"KAJ Roach\";\"JO Holder\";\"KAJ Roach\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"AS Joseph\";\"RRS Cornwall\";\"KAJ Roach\";\"RRS Cornwall\";\"RRS Cornwall\";\"AS Joseph\";\"KR Mayers\";\"KAJ Roach\";\"ST Gabriel\";\"JO Holder\";\"AS Joseph\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"AS Joseph\";\"KR Mayers\";\"KAJ Roach\";\"JNT Seales\";\"KAJ Roach\";\"JO Holder\";\"JNT Seales\";\"JO Holder\";\"JNT Seales\";\"JNT Seales\";\"AS Joseph\";\"AS Joseph\";\"KAJ Roach\";\"JO Holder\";\"AS Joseph\";\"AS Joseph\";\"KAJ Roach\";\"AS Joseph\";\"JNT Seales\";\"V Permaul\";\"JO Holder\";\"KAJ Roach\";\"AS Joseph\";\"V Permaul\";\"KAJ Roach\";\"V Permaul\";\"V Permaul\";\"V Permaul\";\"AS Joseph\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"KR Mayers\";\"KR Mayers\";\"JNT Seales\";\"AS Joseph\";\"KAJ Roach\";\"AS Joseph\";\"JNT Seales\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"KR Mayers\";\"KR Mayers\";\"KR Mayers\";\"AS Joseph\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"JNT Seales\";\"JO Holder\";\"JO Holder\";\"RRS Cornwall\";\"KAJ Roach\";\"JO Holder\";\"JO Holder\";\"ST Gabriel\";\"JNT Seales\";\"KAJ Roach\";\"ST Gabriel\";\"KR Mayers\";\"KAJ Roach\";\"JO Holder\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"KR Mayers\";\"KR Mayers\";\"JO Holder\";\"KR Mayers\";\"JNT Seales\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"KAJ Roach\";\"JO Holder\";\"KR Mayers\";\"JNT Seales\";\"JO Holder\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"JO Holder\";\"KAJ Roach\";\"KR Mayers\";\"JNT Seales\";\"JNT Seales\";\"JNT Seales\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"KAJ Roach\";\"JNT Seales\";\"JO Holder\";\"JO Holder\";\"JNT Seales\";\"AS Joseph\";\"KR Mayers\";\"JO Holder\";\"JO Holder\";\"AS Joseph\";\"ST Gabriel\";\"ST Gabriel\";\"JA Warrican\";\"JA Warrican\";\"JA Warrican\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"JA Warrican\";\"JA Warrican\";\"V Permaul\";\"V Permaul\";\"V Permaul\";\"JA Warrican\";\"JA Warrican\";\"V Permaul\";\"V Permaul\";\"JA Warrican\";\"V Permaul\";\"V Permaul\";\"V Permaul\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"AS Joseph\";\"KR Mayers\";\"KR Mayers\";\"JNT Seales\";\"JNT Seales\";\"AS Joseph\";\"AS Joseph\";\"AS Joseph\";\"AS Joseph\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"AS Joseph\";\"KAJ Roach\"];\r\nw = [\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught and bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"hit wicket\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught and bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,12,0.2);\r\nassert( isequal(wwprop.Bowler,[\"JA Warrican\";\"KAJ Roach\";\"KR Mayers\";\"JO Holder\";\"V Permaul\";\"JNT Seales\"]) )\r\nassert( isequal(wwprop.Wickets,[19;45;24;26;13;30]) )\r\nassert( max(abs(wwprop.WWProp - [0.421052631578947;0.377777777777778;0.333333333333333;0.307692307692308;0.307692307692308;0.2])) \u003c 1e-3 )\r\n%% Bowlers from Zimbabwe\r\nb = [\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"DT Tiripano\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"DT Tiripano\";\"B Muzarabani\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"DT Tiripano\";\"B Muzarabani\"];\r\nw = [\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,4,0.3);\r\nassert( isequal(wwprop.Bowler,\"B Muzarabani\") )\r\nassert( isequal(wwprop.Wickets,19) )\r\nassert( max(abs(wwprop.WWProp - 0.473684210526316)) \u003c 1e-3 )","published":true,"deleted":false,"likes_count":3,"comments_count":5,"created_by":287,"edited_by":287,"edited_at":"2022-11-11T21:21:28.000Z","deleted_by":null,"deleted_at":null,"solvers_count":15,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-11-07T20:40:07.000Z","updated_at":"2025-12-06T13:35:18.000Z","published_at":"2022-11-08T15:16:46.000Z","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\u003eWhich bowlers threaten your stumps the most? Given a table of all wickets taken during some particular set of matches and two thresholds, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return a table of the bowlers who have taken at least \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e wickets with a proportional of at least \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of those wickets being either bowled or LBW. The table returned should be sorted in descending order of this proportion. If bowlers share the same proportion, they should be ordered in descending order of total wickets.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe input table will have two variables, \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\u003eBowler\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eDismissal\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Both are string vectors. The first is the names of the bowlers, the second is the type of wicket, which will be from the set: \\\"bowled\\\", \\\"caught\\\", \\\"caught and bowled\\\", \\\"hit wicket\\\", \\\"lbw\\\", \\\"stumped\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\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 output table should have three variables: \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\u003eBowler\u003c/w:t\u003e\u003c/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\u003eWickets\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eWWProp\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The first is the names of the bowlers (string), the second is the number of wickets taken by each bowler (double), and the third is the proportion of each bowler's wickets that were bowled or LBW.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, with thresholds of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\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:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 0.5:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"681\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"846\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A table contains bowler's name and type of dismissal. The table rows are color-coded by the bowler's name. This table is transformed into a summary table containing the total number of wickets for each unique bowler and the number of bowled or LBW. This table is then transformed by calculating the proportional of bowled or LBW to the total wickets for each bowler. Entries below the thresholds for total wickets or for proportion of bowled/LBW are crossed out. The remaining entries are then sorted by the proportion column to produce the final result table.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[b = [\\\"Ben\\\";\\\"Matt\\\";\\\"Renee\\\";\\\"Renee\\\";\\\"Ben\\\";\\\"Ned\\\";\\\"Ben\\\";\\\"Ned\\\"];\\nw = [\\\"hit wicket\\\";\\\"lbw\\\";\\\"bowled\\\";\\\"lbw\\\";\\\"lbw\\\";\\\"stumped\\\";\\\"bowled\\\";\\\"caught and bowled\\\"];\\nwickets = table(b,w,'VariableNames',[\\\"Bowler\\\",\\\"Dismissal\\\"])\\nwickets =\\n  8×2 table\\n    Bowler          Dismissal     \\n    _______    ___________________\\n    \\\"Ben\\\"      \\\"hit wicket\\\"       \\n    \\\"Matt\\\"     \\\"lbw\\\"              \\n    \\\"Renee\\\"    \\\"bowled\\\"           \\n    \\\"Renee\\\"    \\\"lbw\\\"              \\n    \\\"Ben\\\"      \\\"lbw\\\"              \\n    \\\"Ned\\\"      \\\"stumped\\\"          \\n    \\\"Ben\\\"      \\\"bowled\\\"           \\n    \\\"Ned\\\"      \\\"caught and bowled\\\"\\n    \\nwwprop = wicketwicketprop(wickets,2,0.5)\\nwwprop =\\n  2×3 table\\n    Bowler     Wickets    WWProp \\n    _______    _______    _______\\n    \\\"Renee\\\"       2             1\\n    \\\"Ben\\\"         3       0.66667]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":45779,"title":"Variance computation (★★★)","description":"Given a vector x with several values, compute the variance, whose formula is given by:\r\n\r\n\u003c\u003chttps://i.imgur.com/Wg95KBE.gif\u003e\u003e\r\n\r\n\u003c\u003e\r\n\r\nwhere x1, x2, ...., xn are the n elements of the vector x, and μ is the average of the vector x.\r\n\r\nFor example, if\r\n\r\n  x = [-1, 3, 5, -4, 10, 12]\r\n\r\nThen μ=4.16667 the variance is 38.16667. The following commands are forbidden: *std, var, mean*.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 198.433px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 99.2167px; transform-origin: 407px 99.2167px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 267.3px 10.5px; transform-origin: 267.3px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a vector x with several values, compute the variance, whose formula is given by:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 46px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 23px; text-align: center; transform-origin: 384px 23px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline\" src=\"data:image/gif;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 283.683px 10.5px; transform-origin: 283.683px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ewhere x1, x2, ...., xn are the n elements of the vector x, and μ is the average of the vector x.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 45.9083px 10.5px; transform-origin: 45.9083px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, if\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 109.633px 8.5px; transform-origin: 109.633px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ex = [-1, 3, 5, -4, 10, 12]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 22px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 11px; text-align: left; transform-origin: 384px 11px; 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: 256.342px 10.5px; transform-origin: 256.342px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThen μ=4.16667 the variance is 38.16667. The following commands are forbidden:\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.95px 10.5px; transform-origin: 1.95px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 80.7917px 10.5px; transform-origin: 80.7917px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003estd, var, mean, for, while\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.95px 10.5px; transform-origin: 1.95px 10.5px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [-1, 3, 5, -4, 10, 12];\r\ny_correct = 38.16666666666667;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = 1:10;\r\ny_correct = 9.166666666666666;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = primes(30);\r\ny_correct = 81.43333333333334;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nfiletext = fileread('your_fcn_name.m');\r\nassert(isempty(strfind(filetext, 'std')),'std forbidden')\r\nassert(isempty(strfind(filetext, 'var')),'var forbidden')\r\nassert(isempty(strfind(filetext, 'mean')),'mean forbidden')\r\nassert(isempty(strfind(filetext, 'for')),'for forbidden')\r\nassert(isempty(strfind(filetext, 'while')),'while forbidden')","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":428668,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":36,"test_suite_updated_at":"2020-10-17T02:01:03.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2020-06-06T00:46:09.000Z","updated_at":"2026-02-12T19:15:04.000Z","published_at":"2020-06-06T00:49:36.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector x with several values, compute the variance, whose formula 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=\\\"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\u003ewhere x1, x2, ...., xn are the n elements of the vector x, and μ is the average of the vector x.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, if\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[x = [-1, 3, 5, -4, 10, 12]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThen μ=4.16667 the variance is 38.16667. The following commands are forbidden:\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estd, var, mean, for, while\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\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.gif\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.gif\",\"contentType\":\"image/gif\",\"content\":\"data:image/gif;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":45788,"title":"Median computation (★)","description":"Given a vector of values, compute the median. The median is defined as the middle value in a set of *sorted* data. Thus, if \r\n\r\n  x = [ 3 1 5 2 4 ]\r\n\r\nthen the sorted data will be \r\n\r\n  [ 1 2 3 4 5 ]\r\n\r\nand the middle value or median is *3*. If x has an even number of elements, such as\r\n\r\n  x = [ 3 6 1 5 2 4 ]\r\n\r\nThen there are 2 middle values in the sorted data \r\nand the median is average of the 2. Thus, sorted data is \r\n\r\n  [ 1 2 3 4 5 6]\r\n\r\nand the median is *3.5*.","description_html":"\u003cp\u003eGiven a vector of values, compute the median. The median is defined as the middle value in a set of \u003cb\u003esorted\u003c/b\u003e data. Thus, if\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ex = [ 3 1 5 2 4 ]\r\n\u003c/pre\u003e\u003cp\u003ethen the sorted data will be\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e[ 1 2 3 4 5 ]\r\n\u003c/pre\u003e\u003cp\u003eand the middle value or median is \u003cb\u003e3\u003c/b\u003e. If x has an even number of elements, such as\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003ex = [ 3 6 1 5 2 4 ]\r\n\u003c/pre\u003e\u003cp\u003eThen there are 2 middle values in the sorted data \r\nand the median is average of the 2. Thus, sorted data is\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003e[ 1 2 3 4 5 6]\r\n\u003c/pre\u003e\u003cp\u003eand the median is \u003cb\u003e3.5\u003c/b\u003e.\u003c/p\u003e","function_template":"function y = your_fcn_name(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = [1 2 3 4 5];\r\ny_correct = 3;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = [4 4 5 6 1 2];\r\ny_correct = 4;\r\nassert(isequal(your_fcn_name(x),y_correct))\r\n%%\r\nx = [5 5 6 1 2 4];\r\ny_correct = 4.5;\r\nassert(isequal(your_fcn_name(x),y_correct))","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":428668,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":89,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2020-06-07T18:39:49.000Z","updated_at":"2026-02-17T09:10:05.000Z","published_at":"2020-06-07T18:39:47.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a vector of values, compute the median. The median is defined as the middle value in a set 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\u003esorted\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e data. Thus, if\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[x = [ 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\u003ethen the sorted data will be\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[[ 1 2 3 4 5 ]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eand the middle value or median 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\u003e3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. If x has an even number of elements, such 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[x = [ 3 6 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\u003eThen there are 2 middle values in the sorted data and the median is average of the 2. Thus, sorted data is\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[[ 1 2 3 4 5 6]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eand the median 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\u003e3.5\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":42688,"title":"Determine the full width at half max","description":"Determine the full width at half max of a curve.\r\n\r\nThe  full width at half maximum (FWHM) is a parameter which is used for describing the width of a peak. \u003chttps://en.wikipedia.org/wiki/Full_width_at_half_maximum\u003e \r\n\r\nIt is defined as the distance between the two points at which the curve reaches half of its maximum value.\r\nFor example if y = [0 3 6 3 0], the full width at half of y is 2.\r\n\r\n\r\nThe data in the test-set have only one positive peak. The test suite checks if the solution is correct within an error of 10%. Note that the input array may not necessarily contain an element equal to half of the maximum.\r\n","description_html":"\u003cp\u003eDetermine the full width at half max of a curve.\u003c/p\u003e\u003cp\u003eThe  full width at half maximum (FWHM) is a parameter which is used for describing the width of a peak. \u003ca href = \"https://en.wikipedia.org/wiki/Full_width_at_half_maximum\"\u003ehttps://en.wikipedia.org/wiki/Full_width_at_half_maximum\u003c/a\u003e\u003c/p\u003e\u003cp\u003eIt is defined as the distance between the two points at which the curve reaches half of its maximum value.\r\nFor example if y = [0 3 6 3 0], the full width at half of y is 2.\u003c/p\u003e\u003cp\u003eThe data in the test-set have only one positive peak. The test suite checks if the solution is correct within an error of 10%. Note that the input array may not necessarily contain an element equal to half of the maximum.\u003c/p\u003e","function_template":"function F = fwhm(y)\r\nF = numel(y);\r\nend\r\n","test_suite":"%% 1\r\ny = [0 1 2 3 4 3 2 1 0];\r\nF = 4;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 2\r\ny = [0, 1:10, 9:-1:1, 0];\r\nF = 10;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 3\r\ny = [0 1 1 1 1 0]';\r\nF = 4;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 4\r\ny = [zeros(1,3),ones(1,10),zeros(1,5)];\r\nF = 10;\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\n\r\n%% 5\r\nfor i = 1:200\r\n  maxX = randi(10) + 10;\r\n  F = rand*4+1;\r\n  x = -maxX:maxX;\r\n  y = exp(-4*log(2)*x.^2/F^2);\r\nassert(abs((fwhm(y)-F)/F)\u003c0.1)\r\nend\r\n\r\n%%\r\nuser_solution = fileread('fwhm.m');\r\nassert(isempty(strfind(user_solution,'regexp')));\r\nassert(isempty(strfind(user_solution,'num2str')));\r\nassert(isempty(strfind(user_solution,'fprintf')));\r\nassert(isempty(strfind(user_solution,'assert')));\r\n","published":true,"deleted":false,"likes_count":1,"comments_count":2,"created_by":55263,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":18,"test_suite_updated_at":"2015-11-22T07:43:27.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2015-11-21T09:09:43.000Z","updated_at":"2026-01-30T17:12:54.000Z","published_at":"2015-11-21T09:20:02.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"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\u003eDetermine the full width at half max of a curve.\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 full width at half maximum (FWHM) is a parameter which is used for describing the width of a peak.\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:hyperlink w:docLocation=\\\"https://en.wikipedia.org/wiki/Full_width_at_half_maximum\\\"\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026lt;https://en.wikipedia.org/wiki/Full_width_at_half_maximum\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003cw:r\u003e\u003cw:t\u003e\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIt is defined as the distance between the two points at which the curve reaches half of its maximum value. For example if y = [0 3 6 3 0], the full width at half of y is 2.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe data in the test-set have only one positive peak. The test suite checks if the solution is correct within an error of 10%. Note that the input array may not necessarily contain an element equal to half of the maximum.\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":56528,"title":"Cricket - Most Frequent Bowler-Batter Wicket Combinations","description":"Given a table representing all wickets taken in a particular set of matches, return a table of the bowler-batter pairs that occur most commonly.\r\nThe input table will have three variables: Batter, Bowler, and Dismissal, representing the batter dismissed, the bowler of the delivery when the wicket fell, and the type of dismissal, respectively. The dismissal will be one of the set:  \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"run out\", \"stumped\". Note that run outs are included in the list of wickets. However, because they are not credited to the bowler, your function should not count these.\r\nThe output table should have three variables: Batter, Bowler, and NumberOfDismissals. Each row of the table should represent a unique combination of bowler and batter, all with the same value of NumberOfDismissals (which should be the maximum of all pairs in the data set).\r\nFor example,\r\n\r\nbt = [\"Ben\";\"Matt\";\"Renee\";\"Renee\";\"Ben\";\"Ned\";\"Ben\";\"Renee\"];\r\nbw = [\"Ned\";\"Renee\";\"Ned\";\"Ben\";\"Ned\";\"Matt\";\"Renee\";\"Ned\"];\r\nw = [\"hit wicket\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"stumped\";\"run out\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"])\r\nwickets =\r\n  8×3 table\r\n    Batter     Bowler      Dismissal  \r\n    _______    _______    ____________\r\n    \"Ben\"      \"Ned\"      \"hit wicket\"\r\n    \"Matt\"     \"Renee\"    \"lbw\"       \r\n    \"Renee\"    \"Ned\"      \"bowled\"    \r\n    \"Renee\"    \"Ben\"      \"caught\"    \r\n    \"Ben\"      \"Ned\"      \"lbw\"       \r\n    \"Ned\"      \"Matt\"     \"stumped\"   \r\n    \"Ben\"      \"Renee\"    \"run out\"   \r\n    \"Renee\"    \"Ned\"      \"caught\"    \r\n    \r\npairs = whosyourbunny(wickets)\r\npairs =\r\n  2×3 table\r\n    Batter     Bowler    NumberOfDismissals\r\n    _______    ______    __________________\r\n    \"Ben\"      \"Ned\"             2         \r\n    \"Renee\"    \"Ned\"             2         ","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1172.4px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 586.2px; transform-origin: 407px 586.2px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 373.5px 8px; transform-origin: 373.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a table representing all wickets taken in a particular set of matches, return a table of the bowler-batter pairs that occur most commonly.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 84.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42.25px; text-align: left; transform-origin: 384px 42.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 129px 8px; transform-origin: 129px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe input table will have three 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBatter\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 148px 8px; transform-origin: 148px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, representing the batter dismissed, the bowler of the delivery when the wicket fell, and the type of dismissal, respectively. The dismissal will be one of the set:  \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"run out\", \"stumped\". Note that run outs are included in the list of wickets. However, because they are not credited to the bowler, your function should \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 11.5px 8px; transform-origin: 11.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003enot\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e count these.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 64px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-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 32px; text-align: left; transform-origin: 384px 32px; 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: 145.5px 8px; transform-origin: 145.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe output table should have three 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBatter\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 72px 8px; transform-origin: 72px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 72px 8.5px; transform-origin: 72px 8.5px; \"\u003eNumberOfDismissals\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 95.5px 8px; transform-origin: 95.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Each row of the table should represent a unique combination of bowler and batter, all with the same 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: 72px 8px; transform-origin: 72px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 72px 8.5px; transform-origin: 72px 8.5px; \"\u003eNumberOfDismissals\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 57px 8px; transform-origin: 57px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (which should be the maximum of all pairs in the data set).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example,\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 424.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 212.25px; text-align: left; transform-origin: 384px 212.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 901px;height: 419px\" src=\"data:image/png;base64,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\" alt=\"A table of 8 dismissals, giving batter name, bowler name, and type of dismissal. One entry is crossed out, because the dismissal is \u0026quot;run out\u0026quot;. This table is aggregated into a square matrix of batters (rows) vs bowlers (columns). Each entry in the matrix is the number of times each batter-bowler pair appears in the original table. The maximum value in the matrix is highlighted, one from the row \u0026quot;Ben\u0026quot; and the other from the row \u0026quot;Renee\u0026quot;, both from the column \u0026quot;Ned\u0026quot;. This matrix is then transformed to the resulting table of batter-bowler combinations (Ben-Ned and Renee-Ned), both with NumberOfDismissals equal to 2.\" data-image-state=\"image-loaded\" width=\"901\" height=\"419\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 490.4px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 245.2px; transform-origin: 404px 245.2px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 248px 8.5px; tab-size: 4; transform-origin: 248px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003ebt = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 240px 8.5px; tab-size: 4; transform-origin: 240px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003ebw = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 312px 8.5px; tab-size: 4; transform-origin: 312px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003ew = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"run out\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 288px 8.5px; tab-size: 4; transform-origin: 288px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 96px 8.5px; transform-origin: 96px 8.5px; \"\u003ewickets = table(bt,bw,w,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 60px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 60px 8.5px; \"\u003e'VariableNames'\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e,[\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"Batter\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"Bowler\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 44px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 44px 8.5px; \"\u003e\"Dismissal\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e])\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 36px 8.5px; tab-size: 4; transform-origin: 36px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewickets =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  8\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e3 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003e    Batter     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e  \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 48px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 48px 8.5px; \"\u003e____________\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e       \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e       \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e   \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"run out\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e   \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 152px 8.5px; tab-size: 4; transform-origin: 152px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"caught\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003epairs = whosyourbunny(wickets)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 28px 8.5px; tab-size: 4; transform-origin: 28px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003epairs =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  2\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e3 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003e    Batter     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 72px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 72px 8.5px; \"\u003eNumberOfDismissals\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 24px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 24px 8.5px; \"\u003e______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 72px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 72px 8.5px; \"\u003e__________________\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 92px 8.5px; transform-origin: 92px 8.5px; \"\u003e             2         \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 172px 8.5px; tab-size: 4; transform-origin: 172px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 92px 8.5px; transform-origin: 92px 8.5px; \"\u003e             2         \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function toppairs = whosyourbunny(wickets)\r\ntoppairs = max(wickets.Dismissal);\r\nend","test_suite":"%% Bowlers from Afghanistan\r\nbt = [\"KT Kasuza\";\"TK Musakanda\";\"PS Masvaure\";\"W Madhevere\";\"Sikandar Raza\";\"RP Burl\";\"RW Chakabva\";\"DT Tiripano\";\"SC Williams\";\"VM Nyauchi\";\"KT Kasuza\";\"PS Masvaure\";\"SC Williams\";\"W Madhevere\";\"TK Musakanda\";\"RP Burl\";\"RW Chakabva\";\"DT Tiripano\";\"B Muzarabani\";\"Sikandar Raza\";\"PS Masvaure\";\"KT Kasuza\";\"TK Musakanda\";\"W Madhevere\";\"Sikandar Raza\";\"RP Burl\";\"RW Chakabva\";\"DT Tiripano\";\"B Muzarabani\";\"VM Nyauchi\"];\r\nbw = [\"Yamin Ahmadzai\";\"Amir Hamza\";\"Amir Hamza\";\"Amir Hamza\";\"Amir Hamza\";\"Ibrahim Zadran\";\"Zahir Khan\";\"Zahir Khan\";\"Amir Hamza\";\"Amir Hamza\";\"Rashid Khan\";\"Amir Hamza\";\"Sayed Shirzad\";\"Sayed Shirzad\";\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\";\"Rashid Khan\";\"Javed Ahmadi\";\"Rashid Khan\";\"Rashid Khan\";\"Sayed Shirzad\";\"Rashid Khan\";\"Rashid Khan\";\"Rashid Khan\";\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\"];\r\nw = [\"bowled\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught and bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"lbw\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"KT Kasuza\";\"PS Masvaure\";\"RW Chakabva\";\"Sikandar Raza\";\"TK Musakanda\";\"W Madhevere\"]) )\r\nassert( isequal(pairs.Bowler,[\"Rashid Khan\";\"Amir Hamza\";\"Rashid Khan\";\"Rashid Khan\";\"Rashid Khan\";\"Sayed Shirzad\"]) )\r\nassert( all(pairs.NumberOfDismissals == 2) )\r\n%% Bowlers from Australia\r\nbt = [\"RG Sharma\";\"Shubman Gill\";\"AM Rahane\";\"GH Vihari\";\"RR Pant\";\"CA Pujara\";\"R Ashwin\";\"Navdeep Saini\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Shubman Gill\";\"RG Sharma\";\"AM Rahane\";\"RR Pant\";\"CA Pujara\";\"Shubman Gill\";\"RG Sharma\";\"CA Pujara\";\"AM Rahane\";\"MA Agarwal\";\"RR Pant\";\"SN Thakur\";\"Navdeep Saini\";\"Washington Sundar\";\"Mohammed Siraj\";\"RG Sharma\";\"Shubman Gill\";\"AM Rahane\";\"CA Pujara\";\"MA Agarwal\";\"Washington Sundar\";\"SN Thakur\";\"RJ Burns\";\"DJ Malan\";\"JE Root\";\"BA Stokes\";\"H Hameed\";\"JC Buttler\";\"OJ Pope\";\"OE Robinson\";\"MA Wood\";\"CR Woakes\";\"RJ Burns\";\"H Hameed\";\"DJ Malan\";\"JE Root\";\"OJ Pope\";\"BA Stokes\";\"JC Buttler\";\"OE Robinson\";\"MA Wood\";\"CR Woakes\";\"RJ Burns\";\"H Hameed\";\"JE Root\";\"DJ Malan\";\"OJ Pope\";\"JC Buttler\";\"CR Woakes\";\"OE Robinson\";\"BA Stokes\";\"SCJ Broad\";\"H Hameed\";\"DJ Malan\";\"RJ Burns\";\"JE Root\";\"OJ Pope\";\"BA Stokes\";\"CR Woakes\";\"OE Robinson\";\"JC Buttler\";\"JM Anderson\";\"H Hameed\";\"Z Crawley\";\"DJ Malan\";\"JE Root\";\"BA Stokes\";\"JC Buttler\";\"MA Wood\";\"JM Bairstow\";\"MJ Leach\";\"OE Robinson\";\"Z Crawley\";\"DJ Malan\";\"H Hameed\";\"MJ Leach\";\"BA Stokes\";\"JM Bairstow\";\"JE Root\";\"MA Wood\";\"OE Robinson\";\"JM Anderson\";\"H Hameed\";\"Z Crawley\";\"JE Root\";\"DJ Malan\";\"BA Stokes\";\"JC Buttler\";\"MA Wood\";\"MJ Leach\";\"JM Bairstow\";\"SCJ Broad\";\"H Hameed\";\"DJ Malan\";\"Z Crawley\";\"JE Root\";\"BA Stokes\";\"JC Buttler\";\"MA Wood\";\"JM Bairstow\";\"MJ Leach\";\"RJ Burns\";\"Z Crawley\";\"DJ Malan\";\"JE Root\";\"BA Stokes\";\"OJ Pope\";\"SW Billings\";\"CR Woakes\";\"SCJ Broad\";\"MA Wood\";\"RJ Burns\";\"DJ Malan\";\"Z Crawley\";\"BA Stokes\";\"JE Root\";\"SW Billings\";\"OJ Pope\";\"CR Woakes\";\"MA Wood\";\"OE Robinson\";\"Abdullah Shafique\";\"Imam-ul-Haq\";\"Babar Azam\";\"Azhar Ali\";\"Abdullah Shafique\";\"Imam-ul-Haq\";\"Azhar Ali\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Faheem Ashraf\";\"Sajid Khan\";\"Hasan Ali\";\"Babar Azam\";\"Shaheen Shah Afridi\";\"Imam-ul-Haq\";\"Azhar Ali\";\"Abdullah Shafique\";\"Fawad Alam\";\"Babar Azam\";\"Faheem Ashraf\";\"Sajid Khan\";\"Imam-ul-Haq\";\"Abdullah Shafique\";\"Azhar Ali\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Sajid Khan\";\"Nauman Ali\";\"Hasan Ali\";\"Babar Azam\";\"Naseem Shah\";\"Abdullah Shafique\";\"Azhar Ali\";\"Imam-ul-Haq\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Babar Azam\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Naseem Shah\"];\r\nbw = [\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"PJ Cummins\";\"C Green\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"JR Hazlewood\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"MG Neser\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"JA Richardson\";\"MG Neser\";\"JA Richardson\";\"MA Starc\";\"MA Starc\";\"NM Lyon\";\"JA Richardson\";\"NM Lyon\";\"JA Richardson\";\"JA Richardson\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"SM Boland\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"NM Lyon\";\"C Green\";\"SM Boland\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"SM Boland\";\"SPD Smith\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"SM Boland\";\"C Green\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"C Green\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"PJ Cummins\";\"SM Boland\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"M Labuschagne\";\"NM Lyon\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"MA Starc\";\"MA Starc\";\"MJ Swepson\";\"MJ Swepson\";\"NM Lyon\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\"];\r\nw = [\"caught and bowled\";\"caught\";\"bowled\";\"run out\";\"caught\";\"caught\";\"run out\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"hit wicket\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught and bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"run out\";\"caught\";\"run out\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"run out\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught and bowled\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,\"MA Wood\") )\r\nassert( isequal(pairs.Bowler,\"PJ Cummins\") )\r\nassert( all(pairs.NumberOfDismissals == 5) )\r\n%% Bowlers from Bangladesh\r\nbt = [\"JD Campbell\";\"S Moseley\";\"NE Bonner\";\"KC Brathwaite\";\"KR Mayers\";\"J Da Silva\";\"J Blackwood\";\"KAJ Roach\";\"RRS Cornwall\";\"JA Warrican\";\"JD Campbell\";\"KC Brathwaite\";\"S Moseley\";\"NE Bonner\";\"J Blackwood\";\"J Da Silva\";\"KAJ Roach\";\"JD Campbell\";\"S Moseley\";\"KC Brathwaite\";\"KR Mayers\";\"J Blackwood\";\"NE Bonner\";\"J Da Silva\";\"AS Joseph\";\"JA Warrican\";\"ST Gabriel\";\"KC Brathwaite\";\"S Moseley\";\"JD Campbell\";\"JA Warrican\";\"KR Mayers\";\"J Blackwood\";\"J Da Silva\";\"AS Joseph\";\"NE Bonner\";\"RRS Cornwall\";\"HDRL Thirimanne\";\"BOP Fernando\";\"AD Mathews\";\"DM de Silva\";\"FDM Karunaratne\";\"P Nissanka\";\"N Dickwella\";\"PWH de Silva\";\"FDM Karunaratne\";\"HDRL Thirimanne\";\"AD Mathews\";\"DM de Silva\";\"P Nissanka\";\"BOP Fernando\";\"RTM Mendis\";\"HDRL Thirimanne\";\"BOP Fernando\";\"AD Mathews\";\"FDM Karunaratne\";\"DM de Silva\";\"P Nissanka\";\"N Dickwella\";\"RTM Mendis\";\"RAS Lakmal\";\"M Shumba\";\"BRM Taylor\";\"D Myers\";\"T Maruma\";\"R Kaia\";\"T Kaitano\";\"DT Tiripano\";\"VM Nyauchi\";\"B Muzarabani\";\"R Ngarava\";\"M Shumba\";\"BRM Taylor\";\"T Kaitano\";\"D Myers\";\"T Maruma\";\"R Kaia\";\"RW Chakabva\";\"VM Nyauchi\";\"DT Tiripano\";\"R Ngarava\";\"D Elgar\";\"SJ Erwee\";\"KD Petersen\";\"RD Rickelton\";\"K Verreynne\";\"PWA Mulder\";\"T Bavuma\";\"KA Maharaj\";\"LB Williams\";\"D Olivier\";\"SJ Erwee\";\"D Elgar\";\"KD Petersen\";\"T Bavuma\";\"K Verreynne\";\"PWA Mulder\";\"KA Maharaj\";\"SR Harmer\";\"LB Williams\";\"D Olivier\";\"SJ Erwee\";\"D Elgar\";\"KD Petersen\";\"RD Rickelton\";\"T Bavuma\";\"K Verreynne\";\"PWA Mulder\";\"KA Maharaj\";\"SR Harmer\";\"LB Williams\";\"D Elgar\";\"KD Petersen\";\"SJ Erwee\";\"RD Rickelton\";\"T Bavuma\";\"PWA Mulder\";\"Abdullah Shafique\";\"Azhar Ali\";\"Babar Azam\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Abid Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Nauman Ali\";\"Faheem Ashraf\";\"Abdullah Shafique\";\"Abid Ali\";\"Abdullah Shafique\";\"Abid Ali\";\"Azhar Ali\";\"Babar Azam\";\"TWM Latham\";\"WA Young\";\"LRPL Taylor\";\"DP Conway\";\"TA Blundell\";\"R Ravindra\";\"KA Jamieson\";\"TG Southee\";\"N Wagner\";\"HM Nicholls\";\"TWM Latham\";\"DP Conway\";\"WA Young\";\"HM Nicholls\";\"TA Blundell\";\"LRPL Taylor\";\"KA Jamieson\";\"R Ravindra\";\"TG Southee\";\"TA Boult\";\"WA Young\";\"DP Conway\";\"LRPL Taylor\";\"HM Nicholls\";\"DJ Mitchell\";\"TWM Latham\";\"FDM Karunaratne\";\"BOP Fernando\";\"BKG Mendis\";\"DM de Silva\";\"LD Chandimal\";\"N Dickwella\";\"RTM Mendis\";\"L Embuldeniya\";\"AM Fernando\";\"AD Mathews\";\"BOP Fernando\";\"L Embuldeniya\";\"BKG Mendis\";\"AD Mathews\";\"FDM Karunaratne\";\"DM de Silva\";\"BOP Fernando\";\"BKG Mendis\";\"CAK Rajitha\";\"FDM Karunaratne\";\"DM de Silva\";\"LD Chandimal\";\"N Dickwella\";\"RTM Mendis\";\"P Jayawickrama\";\"AM Fernando\";\"JD Campbell\";\"RA Reifer\";\"NE Bonner\";\"KC Brathwaite\";\"KR Mayers\";\"J Da Silva\";\"AS Joseph\";\"KAJ Roach\";\"J Blackwood\";\"JNT Seales\";\"KC Brathwaite\";\"RA Reifer\";\"NE Bonner\"];\r\nbw = [\"Mustafizur Rahman\";\"Mustafizur Rahman\";\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Nayeem Hasan\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Abu Jayed\";\"Soumya Sarkar\";\"Abu Jayed\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Abu Jayed\";\"Abu Jayed\";\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Abu Jayed\";\"Abu Jayed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Shoriful Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Saif Hassan\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Shoriful Islam\";\"Mehedi Hasan Miraz\";\"Shoriful Islam\";\"Mominul Haque\";\"Ebadat Hossain\";\"Shoriful Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mominul Haque\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Shoriful Islam\";\"Shoriful Islam\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Shoriful Islam\";\"Mominul Haque\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Mustafizur Rahman\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Khaled Ahmed\"];\r\nw = [\"lbw\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"run out\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"run out\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"run out\";\"run out\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"stumped\";\"lbw\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"stumped\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"run out\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"run out\";\"bowled\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"run out\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AD Mathews\";\"Abid Ali\";\"DM de Silva\";\"J Da Silva\"]) )\r\nassert( isequal(pairs.Bowler,[\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Taijul Islam\"]) )\r\nassert( all(pairs.NumberOfDismissals == 3) )\r\n%% Bowlers from England\r\nbt = [\"RG Sharma\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"KL Rahul\";\"SN Thakur\";\"RA Jadeja\";\"Mohammed Shami\";\"JJ Bumrah\";\"KL Rahul\";\"RG Sharma\";\"CA Pujara\";\"V Kohli\";\"KL Rahul\";\"AM Rahane\";\"RR Pant\";\"Mohammed Shami\";\"I Sharma\";\"JJ Bumrah\";\"RA Jadeja\";\"KL Rahul\";\"RG Sharma\";\"V Kohli\";\"CA Pujara\";\"AM Rahane\";\"RA Jadeja\";\"RR Pant\";\"I Sharma\";\"KL Rahul\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"RG Sharma\";\"Mohammed Shami\";\"RA Jadeja\";\"JJ Bumrah\";\"Mohammed Siraj\";\"KL Rahul\";\"RG Sharma\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"Mohammed Shami\";\"I Sharma\";\"RA Jadeja\";\"Mohammed Siraj\";\"RG Sharma\";\"KL Rahul\";\"CA Pujara\";\"RA Jadeja\";\"V Kohli\";\"AM Rahane\";\"RR Pant\";\"SN Thakur\";\"JJ Bumrah\";\"UT Yadav\";\"KL Rahul\";\"RG Sharma\";\"CA Pujara\";\"RA Jadeja\";\"AM Rahane\";\"V Kohli\";\"SN Thakur\";\"RR Pant\";\"JJ Bumrah\";\"UT Yadav\";\"HDRL Thirimanne\";\"BKG Mendis\";\"MDKJ Perera\";\"AD Mathews\";\"LD Chandimal\";\"N Dickwella\";\"MD Shanaka\";\"MDK Perera\";\"L Embuldeniya\";\"PWH de Silva\";\"MDKJ Perera\";\"BKG Mendis\";\"L Embuldeniya\";\"HDRL Thirimanne\";\"LD Chandimal\";\"N Dickwella\";\"MD Shanaka\";\"PWH de Silva\";\"MDK Perera\";\"AD Mathews\";\"MDKJ Perera\";\"BOP Fernando\";\"HDRL Thirimanne\";\"LD Chandimal\";\"AD Mathews\";\"RTM Mendis\";\"N Dickwella\";\"RAS Lakmal\";\"L Embuldeniya\";\"MDK Perera\";\"MDKJ Perera\";\"BOP Fernando\";\"HDRL Thirimanne\";\"AD Mathews\";\"LD Chandimal\";\"N Dickwella\";\"MDK Perera\";\"RTM Mendis\";\"L Embuldeniya\";\"AM Fernando\";\"RG Sharma\";\"Shubman Gill\";\"V Kohli\";\"AM Rahane\";\"CA Pujara\";\"RR Pant\";\"R Ashwin\";\"S Nadeem\";\"I Sharma\";\"JJ Bumrah\";\"RG Sharma\";\"CA Pujara\";\"Shubman Gill\";\"AM Rahane\";\"RR Pant\";\"Washington Sundar\";\"R Ashwin\";\"V Kohli\";\"S Nadeem\";\"JJ Bumrah\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"RG Sharma\";\"AM Rahane\";\"R Ashwin\";\"AR Patel\";\"I Sharma\";\"Kuldeep Yadav\";\"Mohammed Siraj\";\"Shubman Gill\";\"CA Pujara\";\"RG Sharma\";\"RR Pant\";\"AM Rahane\";\"AR Patel\";\"V Kohli\";\"Kuldeep Yadav\";\"I Sharma\";\"R Ashwin\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RG Sharma\";\"RR Pant\";\"Washington Sundar\";\"AR Patel\";\"R Ashwin\";\"JJ Bumrah\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"AM Rahane\";\"RG Sharma\";\"R Ashwin\";\"RR Pant\";\"AR Patel\";\"I Sharma\";\"Mohammed Siraj\";\"TWM Latham\";\"KS Williamson\";\"LRPL Taylor\";\"HM Nicholls\";\"BJ Watling\";\"C de Grandhomme\";\"MJ Santner\";\"KA Jamieson\";\"TG Southee\";\"DP Conway\";\"DP Conway\";\"KS Williamson\";\"N Wagner\";\"TWM Latham\";\"LRPL Taylor\";\"HM Nicholls\";\"TWM Latham\";\"DP Conway\";\"WA Young\";\"LRPL Taylor\";\"HM Nicholls\";\"DJ Mitchell\";\"N Wagner\";\"MJ Henry\";\"TA Blundell\";\"AY Patel\";\"DP Conway\";\"WA Young\";\"JD Campbell\";\"KC Brathwaite\";\"SSJ Brooks\";\"J Blackwood\";\"JO Holder\";\"J Da Silva\";\"AS Joseph\";\"KAJ Roach\";\"NE Bonner\";\"JNT Seales\";\"KC Brathwaite\";\"JD Campbell\";\"SSJ Brooks\";\"J Blackwood\";\"JD Campbell\";\"SSJ Brooks\";\"NE Bonner\";\"J Blackwood\";\"AS Joseph\";\"JO Holder\";\"KC Brathwaite\";\"KAJ Roach\";\"V Permaul\";\"J Da Silva\";\"JD Campbell\";\"SSJ Brooks\";\"NE Bonner\";\"J Blackwood\";\"JO Holder\";\"KC Brathwaite\";\"SSJ Brooks\";\"JD Campbell\";\"NE Bonner\";\"JO Holder\";\"J Blackwood\";\"KR Mayers\";\"AS Joseph\";\"KAJ Roach\";\"JNT Seales\";\"MS Harris\";\"M Labuschagne\";\"SPD Smith\";\"DA Warner\";\"C Green\";\"AT Carey\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"TM Head\";\"AT Carey\";\"MS Harris\";\"DA Warner\";\"M Labuschagne\";\"TM Head\";\"C Green\";\"SPD Smith\";\"AT Carey\";\"MG Neser\";\"JA Richardson\";\"DA Warner\";\"MG Neser\";\"MS Harris\";\"SPD Smith\";\"TM Head\";\"M Labuschagne\";\"AT Carey\";\"MA Starc\";\"JA Richardson\";\"DA Warner\";\"NM Lyon\";\"M Labuschagne\";\"SPD Smith\";\"TM Head\";\"MS Harris\";\"C Green\";\"AT Carey\";\"PJ Cummins\";\"SM Boland\";\"DA Warner\";\"MS Harris\";\"M Labuschagne\";\"SPD Smith\";\"C Green\";\"AT Carey\";\"PJ Cummins\";\"UT Khawaja\";\"DA Warner\";\"MS Harris\";\"M Labuschagne\";\"SPD Smith\";\"C Green\";\"AT Carey\";\"DA Warner\";\"UT Khawaja\";\"SPD Smith\";\"M Labuschagne\";\"TM Head\";\"C Green\";\"MA Starc\";\"PJ Cummins\";\"AT Carey\";\"NM Lyon\";\"DA Warner\";\"M Labuschagne\";\"UT Khawaja\";\"SM Boland\";\"TM Head\";\"SPD Smith\";\"C Green\";\"MA Starc\";\"AT Carey\";\"PJ Cummins\";\"WA Young\";\"TWM Latham\";\"DP Conway\";\"KS Williamson\";\"DJ Mitchell\";\"TA Blundell\";\"KA Jamieson\";\"TG Southee\";\"AY Patel\";\"TA Boult\";\"WA Young\";\"KS Williamson\";\"TWM Latham\";\"DP Conway\";\"DJ Mitchell\";\"C de Grandhomme\";\"KA Jamieson\";\"TA Blundell\";\"AY Patel\";\"TG Southee\";\"WA Young\";\"TWM Latham\";\"HM Nicholls\";\"DP Conway\";\"TA Blundell\";\"MG Bracewell\";\"KA Jamieson\";\"TG Southee\";\"MJ Henry\";\"DJ Mitchell\";\"TWM Latham\";\"DP Conway\";\"HM Nicholls\";\"WA Young\";\"TA Blundell\";\"MG Bracewell\";\"TG Southee\";\"MJ Henry\";\"KA Jamieson\";\"TA Boult\"];\r\nbw = [\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"MA Wood\";\"MM Ali\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"SM Curran\";\"MA Wood\";\"MM Ali\";\"MM Ali\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"SM Curran\";\"SM Curran\";\"C Overton\";\"C Overton\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MM Ali\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"CR Woakes\";\"OE Robinson\";\"JM Anderson\";\"CR Woakes\";\"OE Robinson\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"CR Woakes\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"CR Woakes\";\"C Overton\";\"SCJ Broad\";\"SCJ Broad\";\"DM Bess\";\"SCJ Broad\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"SM Curran\";\"MJ Leach\";\"DM Bess\";\"SM Curran\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"SM Curran\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"JC Archer\";\"JC Archer\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"DM Bess\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"JC Archer\";\"OP Stone\";\"MJ Leach\";\"MM Ali\";\"MJ Leach\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"MM Ali\";\"OP Stone\";\"OP Stone\";\"MJ Leach\";\"MM Ali\";\"MJ Leach\";\"MJ Leach\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MJ Leach\";\"OP Stone\";\"JC Archer\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"MJ Leach\";\"JM Anderson\";\"JE Root\";\"BA Stokes\";\"BA Stokes\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"MA Wood\";\"OE Robinson\";\"JM Anderson\";\"JE Root\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"MA Wood\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"DW Lawrence\";\"OP Stone\";\"MA Wood\";\"OP Stone\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"OP Stone\";\"C Overton\";\"MA Wood\";\"BA Stokes\";\"CR Woakes\";\"BA Stokes\";\"MJ Leach\";\"C Overton\";\"MJ Leach\";\"DW Lawrence\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MD Fisher\";\"MJ Leach\";\"BA Stokes\";\"DW Lawrence\";\"BA Stokes\";\"S Mahmood\";\"MJ Leach\";\"CR Woakes\";\"S Mahmood\";\"MJ Leach\";\"MJ Leach\";\"S Mahmood\";\"S Mahmood\";\"MJ Leach\";\"MJ Leach\";\"BA Stokes\";\"S Mahmood\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"CR Woakes\";\"BA Stokes\";\"C Overton\";\"S Mahmood\";\"JE Root\";\"OE Robinson\";\"MJ Leach\";\"MA Wood\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"JE Root\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"SCJ Broad\";\"BA Stokes\";\"OE Robinson\";\"JE Root\";\"BA Stokes\";\"JM Anderson\";\"JM Anderson\";\"BA Stokes\";\"CR Woakes\";\"JE Root\";\"JM Anderson\";\"SCJ Broad\";\"OE Robinson\";\"OE Robinson\";\"DJ Malan\";\"JE Root\";\"JE Root\";\"DJ Malan\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"JM Anderson\";\"OE Robinson\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"MA Wood\";\"MJ Leach\";\"MA Wood\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"OE Robinson\";\"SCJ Broad\";\"OE Robinson\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"CR Woakes\";\"SCJ Broad\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"SCJ Broad\";\"MJ Potts\";\"MJ Potts\";\"MJ Potts\";\"JM Anderson\";\"JM Anderson\";\"MJ Potts\";\"BA Stokes\";\"JM Anderson\";\"MJ Potts\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\";\"MJ Potts\";\"MW Parkinson\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"JM Anderson\";\"MJ Leach\";\"JM Anderson\";\"SCJ Broad\";\"SCJ Broad\";\"MJ Leach\";\"MJ Potts\";\"JM Anderson\";\"MJ Leach\";\"MJ Potts\";\"BA Stokes\";\"SCJ Broad\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"run out\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"run out\";\"stumped\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"run out\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"run out\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AM Rahane\";\"CA Pujara\";\"CA Pujara\";\"DP Conway\";\"RG Sharma\";\"RR Pant\"]) )\r\nassert( isequal(pairs.Bowler,[\"JM Anderson\";\"JM Anderson\";\"MJ Leach\";\"SCJ Broad\";\"MJ Leach\";\"OE Robinson\"]) )\r\nassert( all(pairs.NumberOfDismissals == 4) )\r\n%% Bowlers from India\r\nbt = [\"DA Warner\";\"WJ Pucovski\";\"M Labuschagne\";\"MS Wade\";\"C Green\";\"TD Paine\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"SPD Smith\";\"WJ Pucovski\";\"DA Warner\";\"M Labuschagne\";\"MS Wade\";\"SPD Smith\";\"C Green\";\"DA Warner\";\"MS Harris\";\"SPD Smith\";\"MS Wade\";\"M Labuschagne\";\"TD Paine\";\"C Green\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MS Harris\";\"DA Warner\";\"M Labuschagne\";\"MS Wade\";\"SPD Smith\";\"C Green\";\"TD Paine\";\"MA Starc\";\"NM Lyon\";\"JR Hazlewood\";\"RJ Burns\";\"Z Crawley\";\"DP Sibley\";\"JM Bairstow\";\"DW Lawrence\";\"JC Buttler\";\"JE Root\";\"OE Robinson\";\"SCJ Broad\";\"JM Anderson\";\"RJ Burns\";\"Z Crawley\";\"DP Sibley\";\"JM Bairstow\";\"DW Lawrence\";\"JC Buttler\";\"JE Root\";\"SM Curran\";\"SCJ Broad\";\"OE Robinson\";\"DP Sibley\";\"H Hameed\";\"RJ Burns\";\"JM Bairstow\";\"JC Buttler\";\"MM Ali\";\"SM Curran\";\"OE Robinson\";\"MA Wood\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"H Hameed\";\"JM Bairstow\";\"JE Root\";\"MM Ali\";\"SM Curran\";\"OE Robinson\";\"JC Buttler\";\"JM Anderson\";\"RJ Burns\";\"H Hameed\";\"DJ Malan\";\"JM Bairstow\";\"JC Buttler\";\"JE Root\";\"MM Ali\";\"SM Curran\";\"C Overton\";\"OE Robinson\";\"RJ Burns\";\"H Hameed\";\"JE Root\";\"C Overton\";\"DJ Malan\";\"JM Bairstow\";\"MM Ali\";\"OJ Pope\";\"OE Robinson\";\"CR Woakes\";\"RJ Burns\";\"DJ Malan\";\"H Hameed\";\"OJ Pope\";\"JM Bairstow\";\"MM Ali\";\"JE Root\";\"CR Woakes\";\"C Overton\";\"JM Anderson\";\"RJ Burns\";\"DW Lawrence\";\"DP Sibley\";\"BA Stokes\";\"OJ Pope\";\"JE Root\";\"JC Buttler\";\"JC Archer\";\"DM Bess\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"DW Lawrence\";\"BA Stokes\";\"JE Root\";\"OJ Pope\";\"JC Buttler\";\"DM Bess\";\"JC Archer\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"JE Root\";\"DW Lawrence\";\"BA Stokes\";\"OJ Pope\";\"MM Ali\";\"OP Stone\";\"MJ Leach\";\"SCJ Broad\";\"DP Sibley\";\"RJ Burns\";\"MJ Leach\";\"DW Lawrence\";\"BA Stokes\";\"OJ Pope\";\"BT Foakes\";\"JE Root\";\"OP Stone\";\"MM Ali\";\"DP Sibley\";\"JM Bairstow\";\"JE Root\";\"Z Crawley\";\"OJ Pope\";\"BA Stokes\";\"JC Archer\";\"MJ Leach\";\"SCJ Broad\";\"BT Foakes\";\"Z Crawley\";\"JM Bairstow\";\"DP Sibley\";\"BA Stokes\";\"JE Root\";\"OJ Pope\";\"JC Archer\";\"BT Foakes\";\"MJ Leach\";\"JM Anderson\";\"DP Sibley\";\"Z Crawley\";\"JE Root\";\"JM Bairstow\";\"BA Stokes\";\"OJ Pope\";\"BT Foakes\";\"DW Lawrence\";\"DM Bess\";\"MJ Leach\";\"Z Crawley\";\"JM Bairstow\";\"DP Sibley\";\"BA Stokes\";\"OJ Pope\";\"JE Root\";\"BT Foakes\";\"DM Bess\";\"MJ Leach\";\"DW Lawrence\";\"TWM Latham\";\"DP Conway\";\"LRPL Taylor\";\"HM Nicholls\";\"BJ Watling\";\"C de Grandhomme\";\"KA Jamieson\";\"KS Williamson\";\"N Wagner\";\"TG Southee\";\"TWM Latham\";\"DP Conway\";\"D Elgar\";\"KD Petersen\";\"AK Markram\";\"HE van der Dussen\";\"Q de Kock\";\"PWA Mulder\";\"T Bavuma\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\";\"AK Markram\";\"KD Petersen\";\"HE van der Dussen\";\"KA Maharaj\";\"D Elgar\";\"Q de Kock\";\"PWA Mulder\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"AK Markram\";\"D Elgar\";\"KD Petersen\";\"HE van der Dussen\";\"K Verreynne\";\"T Bavuma\";\"K Rabada\";\"KA Maharaj\";\"M Jansen\";\"L Ngidi\";\"AK Markram\";\"KD Petersen\";\"HE van der Dussen\";\"D Elgar\";\"AK Markram\";\"KA Maharaj\";\"HE van der Dussen\";\"T Bavuma\";\"K Verreynne\";\"M Jansen\";\"KD Petersen\";\"K Rabada\";\"L Ngidi\";\"AK Markram\";\"D Elgar\";\"KD Petersen\";\"WA Young\";\"KS Williamson\";\"LRPL Taylor\";\"HM Nicholls\";\"TWM Latham\";\"R Ravindra\";\"TA Blundell\";\"TG Southee\";\"KA Jamieson\";\"WER Somerville\";\"WA Young\";\"WER Somerville\";\"TWM Latham\";\"LRPL Taylor\";\"HM Nicholls\";\"KS Williamson\";\"TA Blundell\";\"KA Jamieson\";\"TG Southee\";\"WA Young\";\"TWM Latham\";\"LRPL Taylor\";\"DJ Mitchell\";\"HM Nicholls\";\"R Ravindra\";\"TA Blundell\";\"TG Southee\";\"WER Somerville\";\"KA Jamieson\";\"TWM Latham\";\"WA Young\";\"LRPL Taylor\";\"DJ Mitchell\";\"TA Blundell\";\"R Ravindra\";\"KA Jamieson\";\"TG Southee\";\"WER Somerville\";\"HM Nicholls\";\"HDRL Thirimanne\";\"FDM Karunaratne\";\"AD Mathews\";\"DM de Silva\";\"KIC Asalanka\";\"N Dickwella\";\"RAS Lakmal\";\"L Embuldeniya\";\"MVT Fernando\";\"CBRLS Kumara\";\"HDRL Thirimanne\";\"P Nissanka\";\"FDM Karunaratne\";\"DM de Silva\";\"KIC Asalanka\";\"AD Mathews\";\"RAS Lakmal\";\"L Embuldeniya\";\"MVT Fernando\";\"CBRLS Kumara\";\"BKG Mendis\";\"HDRL Thirimanne\";\"FDM Karunaratne\";\"DM de Silva\";\"KIC Asalanka\";\"AD Mathews\";\"L Embuldeniya\";\"RAS Lakmal\";\"N Dickwella\";\"MVT Fernando\";\"HDRL Thirimanne\";\"BKG Mendis\";\"AD Mathews\";\"DM de Silva\";\"N Dickwella\";\"KIC Asalanka\";\"FDM Karunaratne\";\"L Embuldeniya\";\"RAS Lakmal\";\"MVT Fernando\"];\r\nbw = [\"Mohammed Siraj\";\"Navdeep Saini\";\"RA Jadeja\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"Navdeep Saini\";\"RA Jadeja\";\"JJ Bumrah\";\"Mohammed Siraj\";\"R Ashwin\";\"Navdeep Saini\";\"Navdeep Saini\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"Washington Sundar\";\"T Natarajan\";\"T Natarajan\";\"SN Thakur\";\"Washington Sundar\";\"SN Thakur\";\"Washington Sundar\";\"T Natarajan\";\"SN Thakur\";\"Washington Sundar\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Siraj\";\"I Sharma\";\"I Sharma\";\"I Sharma\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Siraj\";\"RA Jadeja\";\"SN Thakur\";\"RA Jadeja\";\"JJ Bumrah\";\"SN Thakur\";\"RA Jadeja\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"SN Thakur\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"S Nadeem\";\"R Ashwin\";\"S Nadeem\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"JJ Bumrah\";\"S Nadeem\";\"S Nadeem\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"Kuldeep Yadav\";\"AR Patel\";\"AR Patel\";\"Kuldeep Yadav\";\"I Sharma\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"Washington Sundar\";\"AR Patel\";\"AR Patel\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Washington Sundar\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"Mohammed Shami\";\"I Sharma\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"I Sharma\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Shami\";\"Mohammed Shami\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"R Ashwin\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"SN Thakur\";\"JJ Bumrah\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"R Ashwin\";\"UT Yadav\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"RA Jadeja\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"UT Yadav\";\"R Ashwin\";\"RA Jadeja\";\"AR Patel\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"J Yadav\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"J Yadav\";\"J Yadav\";\"J Yadav\";\"J Yadav\";\"R Ashwin\";\"R Ashwin\";\"RA Jadeja\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"RA Jadeja\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"AR Patel\";\"JJ Bumrah\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\"];\r\nw = [\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"run out\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"run out\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"run out\";\"caught\";\"run out\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"lbw\";\"bowled\";\"caught and bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"stumped\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"stumped\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"run out\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"lbw\";\"stumped\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AK Markram\";\"BA Stokes\";\"D Elgar\";\"DP Sibley\";\"JE Root\";\"JM Bairstow\";\"MJ Leach\";\"OJ Pope\";\"TWM Latham\"]) )\r\nassert( isequal(pairs.Bowler,[\"Mohammed Shami\";\"R Ashwin\";\"JJ Bumrah\";\"AR Patel\";\"JJ Bumrah\";\"Mohammed Siraj\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\"]) )\r\nassert( all(pairs.NumberOfDismissals == 4) )\r\n%% Bowlers from New Zealand\r\nbt = [\"Shan Masood\";\"Abid Ali\";\"Haris Sohail\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Azhar Ali\";\"Faheem Ashraf\";\"Zafar Gohar\";\"Shaheen Shah Afridi\";\"Naseem Shah\";\"Shan Masood\";\"Mohammad Abbas\";\"Abid Ali\";\"Haris Sohail\";\"Azhar Ali\";\"Mohammad Rizwan\";\"Fawad Alam\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Zafar Gohar\";\"DP Sibley\";\"Z Crawley\";\"JE Root\";\"OJ Pope\";\"DW Lawrence\";\"James Bracey\";\"OE Robinson\";\"MA Wood\";\"SCJ Broad\";\"RJ Burns\";\"RJ Burns\";\"Z Crawley\";\"JE Root\";\"DP Sibley\";\"Z Crawley\";\"JE Root\";\"OJ Pope\";\"RJ Burns\";\"James Bracey\";\"OP Stone\";\"MA Wood\";\"SCJ Broad\";\"JM Anderson\";\"RJ Burns\";\"DP Sibley\";\"Z Crawley\";\"OJ Pope\";\"DW Lawrence\";\"James Bracey\";\"JE Root\";\"MA Wood\";\"SCJ Broad\";\"OP Stone\";\"RG Sharma\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"RR Pant\";\"AM Rahane\";\"R Ashwin\";\"I Sharma\";\"JJ Bumrah\";\"RA Jadeja\";\"Shubman Gill\";\"RG Sharma\";\"V Kohli\";\"CA Pujara\";\"AM Rahane\";\"RA Jadeja\";\"RR Pant\";\"R Ashwin\";\"Mohammed Shami\";\"JJ Bumrah\";\"Z Crawley\";\"OJ Pope\";\"JE Root\";\"AZ Lees\";\"BA Stokes\";\"JM Bairstow\";\"MJ Potts\";\"SCJ Broad\";\"BT Foakes\";\"MW Parkinson\";\"AZ Lees\";\"Z Crawley\";\"OJ Pope\";\"JM Bairstow\";\"BA Stokes\";\"Z Crawley\";\"AZ Lees\";\"OJ Pope\";\"JM Bairstow\";\"BA Stokes\";\"JE Root\";\"SCJ Broad\";\"BT Foakes\";\"MJ Potts\";\"JM Anderson\";\"Z Crawley\";\"OJ Pope\";\"JE Root\";\"AZ Lees\";\"JM Bairstow\";\"MA Agarwal\";\"Shubman Gill\";\"CA Pujara\";\"AM Rahane\";\"RA Jadeja\";\"WP Saha\";\"SS Iyer\";\"AR Patel\";\"R Ashwin\";\"I Sharma\";\"Shubman Gill\";\"CA Pujara\";\"AM Rahane\";\"MA Agarwal\";\"RA Jadeja\";\"R Ashwin\";\"SS Iyer\";\"Shubman Gill\";\"CA Pujara\";\"V Kohli\";\"SS Iyer\";\"WP Saha\";\"R Ashwin\";\"MA Agarwal\";\"AR Patel\";\"J Yadav\";\"Mohammed Siraj\";\"MA Agarwal\";\"CA Pujara\";\"Shubman Gill\";\"SS Iyer\";\"V Kohli\";\"WP Saha\";\"J Yadav\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mahmudul Hasan Joy\";\"Mushfiqur Rahim\";\"Mominul Haque\";\"Liton Das\";\"Mehedi Hasan Miraz\";\"Yasir Ali Chowdhury\";\"Taskin Ahmed\";\"Shoriful Islam\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Shadman Islam\";\"Mohammad Naim\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Liton Das\";\"Nurul Hasan\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Yasir Ali Chowdhury\";\"Shoriful Islam\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mohammad Naim\";\"Mominul Haque\";\"Yasir Ali Chowdhury\";\"Nurul Hasan\";\"Mehedi Hasan Miraz\";\"Liton Das\";\"Shoriful Islam\";\"Ebadat Hossain\";\"D Elgar\";\"SJ Erwee\";\"AK Markram\";\"HE van der Dussen\";\"T Bavuma\";\"Zubayr Hamza\";\"K Verreynne\";\"K Rabada\";\"GA Stuurman\";\"D Olivier\";\"SJ Erwee\";\"D Elgar\";\"AK Markram\";\"HE van der Dussen\";\"Zubayr Hamza\";\"T Bavuma\";\"K Verreynne\";\"K Rabada\";\"M Jansen\";\"GA Stuurman\";\"D Elgar\";\"AK Markram\";\"SJ Erwee\";\"T Bavuma\";\"K Verreynne\";\"HE van der Dussen\";\"PWA Mulder\";\"K Rabada\";\"KA Maharaj\";\"L Sipamla\";\"SJ Erwee\";\"D Elgar\";\"AK Markram\";\"HE van der Dussen\";\"T Bavuma\";\"PWA Mulder\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\"];\r\nbw = [\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KS Williamson\";\"TA Boult\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"N Wagner\";\"MJ Henry\";\"AY Patel\";\"TA Boult\";\"TA Boult\";\"AY Patel\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"AY Patel\";\"AY Patel\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"C de Grandhomme\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"MG Bracewell\";\"TA Boult\";\"MG Bracewell\";\"MG Bracewell\";\"TA Boult\";\"MG Bracewell\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"KA Jamieson\";\"KA Jamieson\";\"AY Patel\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"R Ravindra\";\"AY Patel\";\"R Ravindra\";\"R Ravindra\";\"AY Patel\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"N Wagner\";\"DJ Mitchell\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"LRPL Taylor\";\"MJ Henry\";\"KA Jamieson\";\"MJ Henry\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"TG Southee\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"C de Grandhomme\";\"MJ Henry\";\"KA Jamieson\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"stumped\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"bowled\";\"caught\";\"caught and bowled\";\"caught and bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,\"JM Bairstow\") )\r\nassert( isequal(pairs.Bowler,\"TA Boult\") )\r\nassert( all(pairs.NumberOfDismissals == 3) )\r\n%% Bowlers from Pakistan\r\nbt = [\"TA Blundell\";\"TWM Latham\";\"LRPL Taylor\";\"HM Nicholls\";\"BJ Watling\";\"KS Williamson\";\"AK Markram\";\"HE van der Dussen\";\"F du Plessis\";\"Q de Kock\";\"D Elgar\";\"T Bavuma\";\"KA Maharaj\";\"GF Linde\";\"A Nortje\";\"L Ngidi\";\"D Elgar\";\"HE van der Dussen\";\"F du Plessis\";\"AK Markram\";\"KA Maharaj\";\"Q de Kock\";\"GF Linde\";\"K Rabada\";\"A Nortje\";\"T Bavuma\";\"D Elgar\";\"HE van der Dussen\";\"F du Plessis\";\"AK Markram\";\"Q de Kock\";\"PWA Mulder\";\"GF Linde\";\"KA Maharaj\";\"K Rabada\";\"A Nortje\";\"D Elgar\";\"HE van der Dussen\";\"F du Plessis\";\"AK Markram\";\"Q de Kock\";\"T Bavuma\";\"GF Linde\";\"KA Maharaj\";\"K Rabada\";\"PWA Mulder\";\"KT Kasuza\";\"PS Masvaure\";\"TK Musakanda\";\"BRM Taylor\";\"M Shumba\";\"R Kaia\";\"RW Chakabva\";\"TS Chisoro\";\"B Muzarabani\";\"R Ngarava\";\"KT Kasuza\";\"M Shumba\";\"TK Musakanda\";\"R Kaia\";\"BRM Taylor\";\"DT Tiripano\";\"TS Chisoro\";\"B Muzarabani\";\"R Ngarava\";\"TK Musakanda\";\"KT Kasuza\";\"BRM Taylor\";\"M Shumba\";\"TS Chisoro\";\"RW Chakabva\";\"LM Jongwe\";\"DT Tiripano\";\"R Kaia\";\"B Muzarabani\";\"TK Musakanda\";\"KT Kasuza\";\"BRM Taylor\";\"RW Chakabva\";\"M Shumba\";\"DT Tiripano\";\"R Kaia\";\"TS Chisoro\";\"R Ngarava\";\"LM Jongwe\";\"KOA Powell\";\"NE Bonner\";\"RL Chase\";\"J Blackwood\";\"KR Mayers\";\"JO Holder\";\"KC Brathwaite\";\"KAJ Roach\";\"JA Warrican\";\"J Da Silva\";\"KOA Powell\";\"KC Brathwaite\";\"NE Bonner\";\"RL Chase\";\"KR Mayers\";\"J Blackwood\";\"JO Holder\";\"J Da Silva\";\"JA Warrican\";\"KOA Powell\";\"KC Brathwaite\";\"RL Chase\";\"AS Joseph\";\"NE Bonner\";\"KR Mayers\";\"J Blackwood\";\"J Da Silva\";\"JO Holder\";\"KAJ Roach\";\"KOA Powell\";\"AS Joseph\";\"NE Bonner\";\"RL Chase\";\"J Blackwood\";\"KC Brathwaite\";\"KR Mayers\";\"JO Holder\";\"KAJ Roach\";\"J Da Silva\";\"Saif Hassan\";\"Shadman Islam\";\"Mominul Haque\";\"Nazmul Hossain Shanto\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mushfiqur Rahim\";\"Taijul Islam\";\"Abu Jayed\";\"Ebadat Hossain\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Saif Hassan\";\"Mushfiqur Rahim\";\"Mehedi Hasan Miraz\";\"Nurul Hasan\";\"Liton Das\";\"Abu Jayed\";\"Taijul Islam\";\"Mahmudul Hasan Joy\";\"Shadman Islam\";\"Mominul Haque\";\"Mushfiqur Rahim\";\"Liton Das\";\"Nazmul Hossain Shanto\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Khaled Ahmed\";\"Shakib Al Hasan\";\"Mahmudul Hasan Joy\";\"Shadman Islam\";\"Mominul Haque\";\"Nazmul Hossain Shanto\";\"Liton Das\";\"Mushfiqur Rahim\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Khaled Ahmed\";\"Taijul Islam\";\"DA Warner\";\"UT Khawaja\";\"M Labuschagne\";\"TM Head\";\"C Green\";\"SPD Smith\";\"AT Carey\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"DA Warner\";\"M Labuschagne\";\"SPD Smith\";\"NM Lyon\";\"TM Head\";\"UT Khawaja\";\"C Green\";\"AT Carey\";\"MA Starc\";\"DA Warner\";\"M Labuschagne\";\"DA Warner\";\"M Labuschagne\";\"SPD Smith\";\"UT Khawaja\";\"TM Head\";\"AT Carey\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"MJ Swepson\";\"DA Warner\";\"M Labuschagne\";\"SPD Smith\"];\r\nbw = [\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Yasir Shah\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Yasir Shah\";\"Hasan Ali\";\"Yasir Shah\";\"Shaheen Shah Afridi\";\"Yasir Shah\";\"Yasir Shah\";\"Yasir Shah\";\"Nauman Ali\";\"Hasan Ali\";\"Yasir Shah\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Yasir Shah\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Tabish Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Hasan Ali\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Mohammad Abbas\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Yasir Shah\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Mohammad Abbas\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Nauman Ali\";\"Babar Azam\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Naseem Shah\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Babar Azam\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Naseem Shah\";\"Sajid Khan\";\"Naseem Shah\";\"Nauman Ali\";\"Naseem Shah\";\"Shaheen Shah Afridi\";\"Naseem Shah\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Naseem Shah\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught\";\"run out\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"run out\";\"bowled\";\"bowled\";\"run out\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"run out\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"run out\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"run out\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"run out\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"run out\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught and bowled\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"run out\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"run out\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"GF Linde\";\"J Da Silva\";\"KT Kasuza\";\"M Labuschagne\";\"MA Starc\";\"Taijul Islam\"]) )\r\nassert( isequal(pairs.Bowler,[\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\"]) )\r\nassert( all(pairs.NumberOfDismissals == 3) )\r\n%% Bowlers from South Africa\r\nbt = [\"FDM Karunaratne\";\"MDKJ Perera\";\"BKG Mendis\";\"HDRL Thirimanne\";\"M Bhanuka\";\"N Dickwella\";\"MD Shanaka\";\"PWH de Silva\";\"PVD Chameera\";\"AM Fernando\";\"MDKJ Perera\";\"HDRL Thirimanne\";\"BKG Mendis\";\"M Bhanuka\";\"FDM Karunaratne\";\"N Dickwella\";\"MD Shanaka\";\"PWH de Silva\";\"PVD Chameera\";\"AM Fernando\";\"Abid Ali\";\"Imran Butt\";\"Babar Azam\";\"Shaheen Shah Afridi\";\"Azhar Ali\";\"Mohammad Rizwan\";\"Fawad Alam\";\"Faheem Ashraf\";\"Hasan Ali\";\"Nauman Ali\";\"Abid Ali\";\"Imran Butt\";\"Babar Azam\";\"Imran Butt\";\"Azhar Ali\";\"Abid Ali\";\"Babar Azam\";\"Fawad Alam\";\"Mohammad Rizwan\";\"Hasan Ali\";\"Yasir Shah\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Imran Butt\";\"Abid Ali\";\"Babar Azam\";\"Azhar Ali\";\"Fawad Alam\";\"Faheem Ashraf\";\"Hasan Ali\";\"Yasir Shah\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"SD Hope\";\"KC Brathwaite\";\"NE Bonner\";\"KR Mayers\";\"J Blackwood\";\"RL Chase\";\"J Da Silva\";\"RRS Cornwall\";\"KAJ Roach\";\"JO Holder\";\"KC Brathwaite\";\"KOA Powell\";\"SD Hope\";\"KR Mayers\";\"J Blackwood\";\"JO Holder\";\"RL Chase\";\"RRS Cornwall\";\"J Da Silva\";\"JNT Seales\";\"KC Brathwaite\";\"KOA Powell\";\"RL Chase\";\"KR Mayers\";\"SD Hope\";\"JO Holder\";\"J Da Silva\";\"KAJ Roach\";\"JNT Seales\";\"J Blackwood\";\"KC Brathwaite\";\"SD Hope\";\"KR Mayers\";\"KOA Powell\";\"JO Holder\";\"J Da Silva\";\"J Blackwood\";\"KAJ Roach\";\"JNT Seales\";\"MA Agarwal\";\"CA Pujara\";\"V Kohli\";\"KL Rahul\";\"AM Rahane\";\"R Ashwin\";\"RR Pant\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"MA Agarwal\";\"SN Thakur\";\"KL Rahul\";\"V Kohli\";\"CA Pujara\";\"AM Rahane\";\"R Ashwin\";\"RR Pant\";\"Mohammed Shami\";\"Mohammed Siraj\";\"MA Agarwal\";\"CA Pujara\";\"AM Rahane\";\"GH Vihari\";\"KL Rahul\";\"RR Pant\";\"SN Thakur\";\"Mohammed Shami\";\"R Ashwin\";\"Mohammed Siraj\";\"KL Rahul\";\"MA Agarwal\";\"AM Rahane\";\"CA Pujara\";\"RR Pant\";\"R Ashwin\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Siraj\";\"KL Rahul\";\"MA Agarwal\";\"CA Pujara\";\"AM Rahane\";\"RR Pant\";\"R Ashwin\";\"SN Thakur\";\"JJ Bumrah\";\"V Kohli\";\"Mohammed Shami\";\"MA Agarwal\";\"KL Rahul\";\"CA Pujara\";\"AM Rahane\";\"V Kohli\";\"R Ashwin\";\"SN Thakur\";\"UT Yadav\";\"Mohammed Shami\";\"JJ Bumrah\";\"Shadman Islam\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Mushfiqur Rahim\";\"Taskin Ahmed\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Mahmudul Hasan Joy\";\"Shadman Islam\";\"Mahmudul Hasan Joy\";\"Mominul Haque\";\"Mushfiqur Rahim\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mehedi Hasan Miraz\";\"Nazmul Hossain Shanto\";\"Khaled Ahmed\";\"Taskin Ahmed\";\"Mahmudul Hasan Joy\";\"Tamim Iqbal\";\"Nazmul Hossain Shanto\";\"Mominul Haque\";\"Liton Das\";\"Yasir Ali Chowdhury\";\"Mushfiqur Rahim\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Mahmudul Hasan Joy\";\"Nazmul Hossain Shanto\";\"Tamim Iqbal\";\"Mushfiqur Rahim\";\"Mominul Haque\";\"Yasir Ali Chowdhury\";\"Liton Das\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Taijul Islam\";\"WA Young\";\"TWM Latham\";\"DP Conway\";\"N Wagner\";\"DJ Mitchell\";\"HM Nicholls\";\"C de Grandhomme\";\"KA Jamieson\";\"TG Southee\";\"TA Blundell\";\"TWM Latham\";\"WA Young\";\"DP Conway\";\"HM Nicholls\";\"TA Blundell\";\"DJ Mitchell\";\"KA Jamieson\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"WA Young\";\"TWM Latham\";\"HM Nicholls\";\"DJ Mitchell\";\"DP Conway\";\"TA Blundell\";\"C de Grandhomme\";\"KA Jamieson\";\"TG Southee\";\"MJ Henry\"];\r\nbw = [\"A Nortje\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"L Sipamla\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"PWA Mulder\";\"L Sipamla\";\"L Sipamla\";\"L Sipamla\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"A Nortje\";\"KA Maharaj\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"GF Linde\";\"GF Linde\";\"GF Linde\";\"KA Maharaj\";\"GF Linde\";\"K Rabada\";\"GF Linde\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"K Rabada\";\"L Ngidi\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"K Rabada\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"L Ngidi\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"L Ngidi\";\"L Ngidi\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"LB Williams\";\"LB Williams\";\"D Olivier\";\"PWA Mulder\";\"D Olivier\";\"LB Williams\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"D Olivier\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"D Olivier\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"GA Stuurman\";\"D Olivier\";\"AK Markram\";\"AK Markram\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"L Sipamla\";\"M Jansen\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"run out\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"run out\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"caught and bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\"];\r\nwickets = table(bt,bw,w,'VariableNames',[\"Batter\",\"Bowler\",\"Dismissal\"]);\r\npairs = sortrows(whosyourbunny(wickets),1:2);\r\nassert( isequal(pairs.Batter,[\"AM Rahane\";\"Babar Azam\";\"KC Brathwaite\";\"KL Rahul\"]) )\r\nassert( isequal(pairs.Bowler,[\"K Rabada\";\"KA Maharaj\";\"K Rabada\";\"M Jansen\"]) )\r\nassert( all(pairs.NumberOfDismissals == 3) )","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-11-08T20:10:18.000Z","deleted_by":null,"deleted_at":null,"solvers_count":20,"test_suite_updated_at":"2022-11-08T20:04:47.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-11-07T20:18:12.000Z","updated_at":"2025-12-06T13:26:51.000Z","published_at":"2022-11-08T15:16:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a table representing all wickets taken in a particular set of matches, return a table of the bowler-batter pairs that occur most commonly.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe input table will have three variables: \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\u003eBatter\u003c/w:t\u003e\u003c/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\u003eBowler\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eDismissal\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, representing the batter dismissed, the bowler of the delivery when the wicket fell, and the type of dismissal, respectively. The dismissal will be one of the set:  \\\"bowled\\\", \\\"caught\\\", \\\"caught and bowled\\\", \\\"hit wicket\\\", \\\"lbw\\\", \\\"run out\\\", \\\"stumped\\\". Note that run outs are included in the list of wickets. However, because they are not credited to the bowler, your function should \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003enot\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e count these.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\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 output table should have three variables: \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\u003eBatter\u003c/w:t\u003e\u003c/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\u003eBowler\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNumberOfDismissals\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Each row of the table should represent a unique combination of bowler and batter, all with the same value of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNumberOfDismissals\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (which should be the maximum of all pairs in the data set).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example,\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"419\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"901\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A table of 8 dismissals, giving batter name, bowler name, and type of dismissal. One entry is crossed out, because the dismissal is \u0026quot;run out\u0026quot;. This table is aggregated into a square matrix of batters (rows) vs bowlers (columns). Each entry in the matrix is the number of times each batter-bowler pair appears in the original table. The maximum value in the matrix is highlighted, one from the row \u0026quot;Ben\u0026quot; and the other from the row \u0026quot;Renee\u0026quot;, both from the column \u0026quot;Ned\u0026quot;. This matrix is then transformed to the resulting table of batter-bowler combinations (Ben-Ned and Renee-Ned), both with NumberOfDismissals equal to 2.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[bt = [\\\"Ben\\\";\\\"Matt\\\";\\\"Renee\\\";\\\"Renee\\\";\\\"Ben\\\";\\\"Ned\\\";\\\"Ben\\\";\\\"Renee\\\"];\\nbw = [\\\"Ned\\\";\\\"Renee\\\";\\\"Ned\\\";\\\"Ben\\\";\\\"Ned\\\";\\\"Matt\\\";\\\"Renee\\\";\\\"Ned\\\"];\\nw = [\\\"hit wicket\\\";\\\"lbw\\\";\\\"bowled\\\";\\\"caught\\\";\\\"lbw\\\";\\\"stumped\\\";\\\"run out\\\";\\\"caught\\\"];\\nwickets = table(bt,bw,w,'VariableNames',[\\\"Batter\\\",\\\"Bowler\\\",\\\"Dismissal\\\"])\\nwickets =\\n  8×3 table\\n    Batter     Bowler      Dismissal  \\n    _______    _______    ____________\\n    \\\"Ben\\\"      \\\"Ned\\\"      \\\"hit wicket\\\"\\n    \\\"Matt\\\"     \\\"Renee\\\"    \\\"lbw\\\"       \\n    \\\"Renee\\\"    \\\"Ned\\\"      \\\"bowled\\\"    \\n    \\\"Renee\\\"    \\\"Ben\\\"      \\\"caught\\\"    \\n    \\\"Ben\\\"      \\\"Ned\\\"      \\\"lbw\\\"       \\n    \\\"Ned\\\"      \\\"Matt\\\"     \\\"stumped\\\"   \\n    \\\"Ben\\\"      \\\"Renee\\\"    \\\"run out\\\"   \\n    \\\"Renee\\\"    \\\"Ned\\\"      \\\"caught\\\"    \\n    \\npairs = whosyourbunny(wickets)\\npairs =\\n  2×3 table\\n    Batter     Bowler    NumberOfDismissals\\n    _______    ______    __________________\\n    \\\"Ben\\\"      \\\"Ned\\\"             2         \\n    \\\"Renee\\\"    \\\"Ned\\\"             2         ]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":56533,"title":"Cricket - You Miss, I Hit (Rank Bowlers by Proportion of Bowled and LBW Wickets)","description":"Which bowlers threaten your stumps the most? Given a table of all wickets taken during some particular set of matches and two thresholds, w and p, return a table of the bowlers who have taken at least w wickets with a proportional of at least p of those wickets being either bowled or LBW. The table returned should be sorted in descending order of this proportion. If bowlers share the same proportion, they should be ordered in descending order of total wickets.\r\nThe input table will have two variables, Bowler and Dismissal. Both are string vectors. The first is the names of the bowlers, the second is the type of wicket, which will be from the set: \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"stumped\".\r\nThe output table should have three variables: Bowler, Wickets, and WWProp. The first is the names of the bowlers (string), the second is the number of wickets taken by each bowler (double), and the third is the proportion of each bowler's wickets that were bowled or LBW.\r\nFor example, with thresholds of w = 2, p = 0.5:\r\n\r\nb = [\"Ben\";\"Matt\";\"Renee\";\"Renee\";\"Ben\";\"Ned\";\"Ben\";\"Ned\"];\r\nw = [\"hit wicket\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"stumped\";\"bowled\";\"caught and bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"])\r\nwickets =\r\n  8×2 table\r\n    Bowler          Dismissal     \r\n    _______    ___________________\r\n    \"Ben\"      \"hit wicket\"       \r\n    \"Matt\"     \"lbw\"              \r\n    \"Renee\"    \"bowled\"           \r\n    \"Renee\"    \"lbw\"              \r\n    \"Ben\"      \"lbw\"              \r\n    \"Ned\"      \"stumped\"          \r\n    \"Ben\"      \"bowled\"           \r\n    \"Ned\"      \"caught and bowled\"\r\n    \r\nwwprop = wicketwicketprop(wickets,2,0.5)\r\nwwprop =\r\n  2×3 table\r\n    Bowler     Wickets    WWProp \r\n    _______    _______    _______\r\n    \"Renee\"       2             1\r\n    \"Ben\"         3       0.66667","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1434.47px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 717.233px; transform-origin: 407px 717.233px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 84px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42px; text-align: left; transform-origin: 384px 42px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 375px 8px; transform-origin: 375px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWhich bowlers threaten your stumps the most? Given a table of all wickets taken during some particular set of matches and two thresholds, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\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: 171px 8px; transform-origin: 171px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, return a table of the bowlers who have taken at least \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 119.5px 8px; transform-origin: 119.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e wickets with a proportional of at least \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\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: 346.5px 8px; transform-origin: 346.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e of those wickets being either bowled or LBW. The table returned should be sorted in descending order of this proportion. If bowlers share the same proportion, they should be ordered in descending order of total wickets.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.75px; text-align: left; transform-origin: 384px 31.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 123px 8px; transform-origin: 123px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe input table will have two 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36px 8px; transform-origin: 36px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 36px 8.5px; transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 169.5px 8px; transform-origin: 169.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Both are string vectors. The first is the names of the bowlers, the second is the type of wicket, which will be from the set: \"bowled\", \"caught\", \"caught and bowled\", \"hit wicket\", \"lbw\", \"stumped\".\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.75px; text-align: left; transform-origin: 384px 31.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 145.5px 8px; transform-origin: 145.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe output table should have three 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: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eBowler\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28px 8px; transform-origin: 28px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003eWickets\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 24px 8px; transform-origin: 24px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003eWWProp\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 120px 8px; transform-origin: 120px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. The first is the names of the bowlers (string), the second is the number of wickets taken by each bowler (double), and the third is the proportion of each bowler's wickets that were bowled or LBW.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 100px 8px; transform-origin: 100px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example, with thresholds 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: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ew\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e = 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: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\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: 20px 8px; transform-origin: 20px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e = 0.5:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 686.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 343.25px; text-align: left; transform-origin: 384px 343.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 846px;height: 681px\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAADTcAAAqjCAYAAABByJRaAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAMsAAADLAAShkWtsAAP+lSURBVHhe7P2xyzXf2tj3nT8hRf4EG1y4EkRxpUbFgRjcOIQEF0YQFwEZRQlCpYQKh58a4YBJZIiQHatxhCHkBRchMs4RMVEfkuKNGzVREdRICFTkREvPO/vsZ37XzKxrzZo9a/b6fOALes9z79mzZ8+e2ffNuvT7ze8BAAAAAAAAAAAAAAAAPuz/9y8YbgIAAAAAAAAAAAAAAAA+znATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAAAAAAAAAAtzDcBAAAAAAAAAAAAAAAANzCcBMAAAAAAAAAAAAAAABwC8NNAAAAAAAAAAAAAAAAwC0MNwEAAAAAAAAAAAAAAAC3MNwEAAAAAAAAAAAAAAAA3MJwEwAAAAAAAAAAAAAAAHALw00AAAAAAAAAAAAAAADALQw3AQAAAAAAAAAAAAAAALcw3AQAAAAAAAAAAAAAAADcwnATAAAAAAAAAAAAAAAAcAvDTQAAAAAAAAAAAAAAAMAtDDcBAAAAAAAA8JO/8nd+91N/9A/+WJI0Se4BkjRv7gGSJGmU1t9L+H6GmwAAAAAAAAB4+dN/8W///jf/5v9KkiRJkiRJkoboH/3jf/onf73kWxluAgAAAAAAAODFcJMkSZIkSZKkkTLc9P0MNwEAAAAAAADwYrhJkiRJkiRJ0kgZbvp+hpsAAAAAAAAAeDHcJEmSJEmSJGmkDDd9P8NNAAAAAAAAALz8pb/19361eODv/v3/1+//6B/8sSTpy/u3/4P/wj1AkibNPUCSJI1S9L3kn/yzf/4nf73kWxluAgAAAAAAAOAlGm6yeABgDu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQPww+9+97vf/+Y3v6mu/Dw8nXsAT/bb3/42vD5HlZ8FfuYeAD/4PeBaTz++ZX/K94hffvnlT/4X4Aq+l8zJcBMAAAAAAAAALxYPwA8WNTIj9wCezHATnOMeAD/4PeBaTz++Zajpff8MOsE1fC+Zk+EmAAAAAAAAAF4sHoAfLGpkRu4BPJnhJjjHPQB+8HvAtZ5+fKN9XCrfL5wP0IfvJXMy3AQAAAAAAADAi8UD8INFjczIPYAnM9wE57gHwA9+D7jWk49v7b4D5/leMifDTQAAAAAAAAC8WDwAP1jUyIzcA3gyw01wjnsA/OD3gGs9+fj+8ssv4T6+53yAPnwvmZPhJgAAAAAAAABeLB6AHyxqZEbuAXMp162ySLcM+pTK/7v0VIab4Bz3APjB7wHXeurxrd1voA/fS+ZkuAkAAAAAAACAF4sH4AeLGpmRe8C+6LO/9LRhmb3/8kB5LU+8phlugnPcA+AHvwdc66nHt+a/2vTkIXHq7H3f9P735XvJnAw3AQAAAAAAAPAy+uKBaAFJS2VBSqksPrEAhYhFjcxolHtAzeLRdVeruSZcLXtdKkX3uNohoKdd12pfV6n8LPAzvwfAD34PuNZTj2+0b+tq9zV67F5XHIPoeVp6v6aW/ey1ry2/D3ziXIme971PiJ53r6fe6ww3zclwEwAAAAAAAAAvsyxqjFoW5EBRFkZF58lWn1hIBVcb5R6Q/fyVrr5+1+zT1deBHos8M9so98UnKfsbvY6op702+AS/B/g9gB+y30Ouvv9/myce39p9rhU9dq8rjkH0PD0r19Qz+509T0pXX8drvkdffb5mvssvPZXhpjkZbgIAAAAAAADgZeZFje9Z9Ex2MdXVi5jgE0a6B0Sfs72uvm7XLCS8ekFl9JxHvRtxkWhPhpvgHL8H/Mj1Ab8HXOuJx7f398Do8XtdcQyi57miclxa9z/a3lFXqvmuefV358z33dKT72mGm+ZkuAkAAAAAAACAF4saf85CtXk9cdEdnDXSPSC7cK90pej51l29eDB6zr3WiytrFuaue9KCyMw58+SFnnAVvwf8nO928/J7wLWeeHyj/VqX2c/o8XtdcQyi57myltfQ8t31yvMler6oK0XPt9fVw1ZXMtw0J8NNAAAAAAAAALxY1PjrRlhMxeeV9z06H7ZynvANRroHtCxmvGrxXuZ6cJXsNam0vi61DIyVnsJwE5zj94Bf5/vdnLL3XOdJztOOb83+Zr9XRNvY64pjED3P1WVfR/ZcKV11vmT25ap9aPn96MkMN83JcBMAAAAAAAAALxY1xl21OIVxZRdSOUf4BqPdA6LP2l5XDaxkFhJeNWDVYzGj4aY/ZLgJfs3vAXG+483H7wHXetrxrfl+kd3HaBt7XXEMouf5RFcfqxG+i1+1D9nv8k//vmu4aU6GmwAAAAAAAAB4sahxO+bytEV30MNo94DsAr7SFaLn2eqqRYTRc+0VLapsGZAqPUXmfHn6Yk+4gt8DtmMufg+41pOOb+2+ZkXb2OuKYxA9z6fKaPn+eoURvmdGz7XXVUNWn2K4aU6GmwAAAAAAAAB4sahxOwuh5/KkRXfQy2j3gJbFjL0X8WWvBaXeWvYhuiaNcDyvZLgJzvF7wHauGXPxe8C1nnR8a747tXxXiraz1xXHIHqeT5U5ZtnzpTTC8bpC9Dx7PZ3hpjkZbgIAAAAAAADgxaLG/ZjHkxbdQS8j3gOiz9tevYdxWhZU9t6HmoW167ZkBoBKT7q2GW66Rjn/yvGqjefye8B+zMPvAdd60vGN9mddy/5F29nrimMQPc8ny7ym6PF7jfBdvPd7lt2Hb/hOZrhpToabAAAAAAAAAHj5xkWN7wtuo3/P1HuRDOMqi5Gic2CrKxacwaeNeA/IXrt7L+RrWczYex+i59hr716VubY97bqWOVd6v0ffLPsZ4Ln8HrCf3wPm4feAaz3l+NbuZ4toO3tdcQyi59mr5/W0lLmmtjxnTy3P3/uekd2Hb7hnGW6ak+EmAAAAAAAAAF6+bVHj1iKg7ELdpbKghDk8ZdEd9DTiPaDlet1TtP2aeoq2v9fR9aj8+9ECySde0zKLPt3P62U/gzyX3wP2c92YRzl3onNgqyfeM+/0lONbc60oP9Mi2tZeVxyD6Hn2ivah/G+t19RSrZbn6HnMou3X1FO0/b2+geGmORluAgAAAAAAAOBllkWNi8xC6CXmUM6d6P3fqufiKbjLqPeA6DO3V+tC07XsdeC9Xlr2oVY5Tuv7YPnfnno9M9x0jeyCYp7L7wHHMYfsvfep9827POX4RvuyrnXfom3tdcUxiJ5nr719KP/Wck2tfV3l56LH7zXC7wO1r+9I9rvYt3zPNdw0J8NNAAAAAAAAALzMtqixyC7C6bVIhrFlFzH1WrgEdxr1HpC9Tvda0JddSPher3tFdh9mvkdlzpNvWfT5CdlzkOfye8BxM19jZ+L3gGs94fjW7OOZ7xLR9va64hhEz7NXzT5Ej9sr87qix+/1Tb8PzHqvMtw0J8NNAAAAAAAAALzMuKgxu1jFosY51Cxoe++KBWfwaaPeA1oWFfYQbbe2Xgsqo23vNfO1KLPws9f7M4Ps54/n8nvAcX4PmIPfA671hONb853izH5F29vrimMQPc9eNfuQfW8z19S7fh/IDhat6yHa7l53fGauYLhpToabAAAAAAAAAHiZcVFjET12K4sa55BdmPUtC4iY28j3gOhzt9fZa3X2GhB1Vss+zMxw0zWyi4l5Lr8HHOf3gDn4PeBaox/f2v07I9reXlccg+h59qrdh+ixW2WuqdnzptTjuEXbzXR2H1pe97cw3DQnw00AAAAAAAAAvMy6qNGCaNayi4h6LJyCu418D8j+/5p+9lrdspBw3dlF8NmhktkX3buXXyN7HvJcfg84zrVjDn4PuNbox7fmvnf2O1e0zb2uOAbR8+xVuw9XXlOjbex19n3KfgeKOvveZffhm+5ThpvmZLgJAAAAAAAAgJdZFzVmFoxY1DiHcu5E7/9WVyw4g08b+R7QsrjwjB6LGc/eL6Jt7jX7dejKxbQzy34WeC6/Bxzn2jEHvwdca/TjG+3DurP7FG1zryuOQfQ8e9Xuw5XX1E//PpD5brlV2eczsvtw9vlGYrhpToabAAAAAAAAAHixqPE4ixrnUM6d6P3f6ooFZ/Bp3zbcdOZzGW2vpVbZa1BpdpnFn+7l9bKfPZ7L7wHHuXbMwe8B1xr5+Nbu21nRNve64hhEz7NX7T5ceU3NnjulM8cu2l5LZ0Tb2+ubGG6ak+EmAAAAAAAAAF4sajzOosY5ZBdOnVk0BaP4tntAuba3aFk4udWn9qH1eb6J4aZrZL4jlXguvwcc59oxB78HXGvk41tzPejxnSva7l5XHIPoefaq3Yerr6nRdvZqfb+y5+lere9f5liWvu0eZbhpToabAAAAAAAAAHixqPG4HouZGF92MVPrgiUYyej3gMzwSql1gV92IeFen9oH1yDDTVfJnos8l98DjvN7wBz8HnCtkY9v9PzreuxPtN29rjgG0fPsVbsPV19Ts99LSi1anmer1ntH9nef1ucZleGmORluAgAAAAAAAODFosbjvm3BCLFy7kTv/1ZXLDiDTxv9HtCyyLBFtJ3WWodoom3theGmq2Q/dzyX3wOO83vAHPwecK1Rj2/NfvX6/hBte68rjkH0PHvV7kPm+1jLNTV7/pRajl/mddTUItrOXt/GcNOcDDcBAAAAAAAA8DLrosbosVtdsbBorTxHWehTFtRsLaop/3v5mfKzn9inK2wtJh3h9ZR9iPZtq577fPTel97f/9GUfVpeQ7TPJcb0hAVk7+dUTdnzLfvZrykruw9P+0wt14HoOrf8b+Xfs9e39bb2Kj/7FO/X1K3XuByzluN2pGwzes6teqh9vb1f6+z8HnDcJ865zGe+/OxTPwdb15YRXk/Zh2jftuq5z0fvfen9/b9Ded5lP6N9W/Zvy53Hd8/eMV/qtS/Rtve64hhEz7NX7T7UHMelvfNkT7StvVqeJ9rOmbLvYfn5aDtbleP+bQw3zclwEwAAAAAAAAAvMy5qzC4aucrWArFMZRtXL5opZZ9jS7TtpR7K8Yi2vdfy2rLH5ewxOfv+t7z3a2dfc+bxZ/eVazxhAVn2c5Jd6Jf9HNRUPp8Z2WtX5vOUOX7ZY7fnzDWu9vp25Ws7c160HsfW47WUPe8W2fMv05HW5y7Hyn3lPL8HHHeVM9fIpdpr5buWa1uvz1q07aUeWq4ny2vLHpezx+Ts+9/y3meV7bcc0+j6/OnjW6N2n3qJtr3XFccgep69avcheuxWrbLnYvn5jJZz/air9yG7/Scw3DQnw00AAAAAAAAAvMy4qDG7aKS38vxnFzOuK9vMLICKtrFXj4UzR8e9xwKu7HEtP78ozx/9zFat+9v7/Y8WENY685qzr6F1H7nWExaQHV07ojJqt58559+vLTWibeyVceV+R1rer62OrhtXvbbstfG9lmOYeR01lfcgo+d7tm5LOca9Xrf7Szu/BxzXW3n+Kz7zmc9BtI29steUyNFx7/E5zh7X9+t1ef7oZ7Zq3d/e73/ZVo9jt3b0ftV0x/HNqHmNPc79RbT9va44BtHz7FWzD5lz5f2cyMqeQ6WMms9l+ZnsZyOjZh/e+0aGm+ZkuAkAAAAAAACAl9kWNWYXxfRc0FSeO7tgJVvt/rYsDjo6tkeOXnuPYx1td6/358wek5bjceX733L8Wl9zy+tgTE9ZQBadU3tlPg/R49eV7ZWif9uqVvZzmP2sZz6v5WdbZV9HTUf7c9Vry2z3vezxu+KYLZV9Wa7ZR7LndqbIVedK7evlD/wesF/2erunPHfrtaW22v1t+Qye/XwdvfYexzra7l7vz5k9Ji3H48r3v9e52vs8Xa7Nnzi+WdHzruu5H9H297riGETPs9fRPmTf17PnabTNvTLHMHr8urL/2decET1+q/LZ+kaGm+ZkuAkAAAAAAACAl5kWNWYXopR6aXnu1moXukSP3esTi5HOKPsXbXOr9XHKvkd759pa+dmeCwW3yi5yannNra+DMT1lAVn2vKv9LNR+BpbPe/RvW9VeM1s+hxmZY5e9hixarwtHHe3PFa+t9bXUbn/R+jzZas6X7P0z01r2fM+UfQ/we8BRvVx53q+r/RxEj93L7wE/t3eurZWf/cQ1/+w18MrzNPv+ZI5vi9rX2lO0/b2uOAbR8+y1tw8t3x3Oira5V+11q/Z8KD9X+7NLte9j9njWvranMdw0J8NNAAAAAAAAALx826LGsqhrWXRSKos+WhbelHotGGl9/jMtx2FPy361qn2u2sU/keyiwfX7W547+rmtavc1u92zZRY2fmrfzi625DpPWUCWvV7VnnO1211krjO992Ep64p9fpfZfraj/en92lpfS82237U+T2tH96vsOZhp7crXTp7fA7Yrj+vhys/XVstx2NOyX61qn+ton/dkry3r97c8d/RzW9Xua3a7ZyvHocWn9/OoM+dCjZpzcn2OnBU9x15XHIPoefYq+/BeOSat9/Eex7PmfVtXo3a7i+jftqp93dnj+q0MN83JcBMAAAAAAAAAL9+2qLFXrQvD1loW4PTsSPSYvVoXWUXb2qpVtK291spri35uq9pjET326mrP3+xrbq3HYjau8aQFZNG5tVeN6HHr3s/f7DW9RvS4rVo+S5nFktl7X3YhZraj/en52lqvh9ljdtf3gr171pX79O7K56m9J/MzvwfEZT/XW+76vC8diR6zV+vnLNrWVq2ibe21lr0H1B6L6LFX13L+Rtu5s6uv6dFzruu9D9Fz7HXFMYie5xP1uqZmP6elmuNY9i967HvvryF7ba8RPW6rXsdzRIab5mS4CQAAAAAAAIAXixrjemhZfNO7o4Uv2YU55eezss/RspCrx+vIvl+9FkpdVc3+feocbTlv+IwnLSDLfp6Ozrva83/9WYp+Zqujz2H2M3i0vUjmuGUWS37i+na0P71eW/Z9eC/znpx5nrPtvf7sPTTTu6vOmaPzhG1+D4jr4c7P+9LRZ6PH9+cj2edouc/1eB3Z96tmP6+65tWUOY537udWLedBrZr3uuVcPxI9z15XHIPoeT5RT9H296p5L6PHrXvfTs059N7Re5nd3hXn5ygMN83JcBMAAAAAAAAALxY1/roesgtUrmxv8UvLfmZlF8y1LNbJPkek9yKl8jqixx1VXkt5bNn+Uuu2jmRfc2tHx4r7PGkBWfZzUD5Le2rP/7XM9eboepZ9TS0y+3t0zBafunYc7U+v1xb9fE3Za1tmf98rj+txX9g6H1u2Vdsie87Uvua995Vjfg/4dT1kz/cr2/rcFy37mZW97u3t75bsc0Syx6L8/J7W62qv632pRvZ1f6qj43tGzflyxfNHz7PXCPtwtivu0S2fhz2121uLfmar8hx7sq/pmxlumpPhJgAAAAAAAABeLGqMKwtxziwoyi6yu7q915JdTJM9LtE2jsqKtrHV1iKr8rqin9/q6DhEjznqaOFTdh97b6+17DnD5zxtAVl0fu21p/bat5a5Zh4t6owes9XR53lL5n50tL+L6LHZynMd7dvR/vR4bZltvJe9rmXOm6Wj11/2Ibv/kZZ9q23R63Ozfs2c4/eAuHKOnfnukv1cXt3ea8l+/rPHJdrGUVnRNrbaur6U1xX9/FZHxyF6zFFH9/nsPh5tr4geN0LZ86xW7TG8QvQ8e11xDKLn+UTlXOz1erKfg9Kemut1dN3IXjv3ZO4ZW9ewb2G4aU6GmwAAAAAAAAB4sahxv5bFI9mFLuvKcy4LgJbObrO0JbtAqOxLrdb9LvtUK/scW9vOHoe9fWx53bWvObufe7LbiiqvNdr38r8vC7UY19MWkGUW/5XKebgl+vl10eOzn+8t2c9f7TViLXPMau552ffgvb33o7y+9bE92p+zr631tbS8F9F29jp67e8yryN6D8rrKdtYih631/tj1y3K/zt6bFTN8S2vY+98oo7fA/Z7P4drra9j2cpzlm2Uz8HS2W2WtpTtRz+/VeZz17rfNdeARfY5tradPQ57+9jyumtfc3Y/95w9r8rjS2WfSsv/nbneb1V7PLJqXnP5mStEz7XXFccgep5P1nJNjUTb3mvvWEY/vy46J8o2o5/d6uw+LF11fo7CcNOcDDcBAAAAAAAA8GJRY12ZxUWtC7pqFvtkF9G812tBTalW9NjaamWO994x7rlAKXsOZBcpZfZ1b9tnzqfyGveOwaLmZ7jPtw83bX3ma8/9rfM3+tmttj6D2c9fq8wx2zpe76LHHVWz3UU5Lss+Hz3uzGvLHv+lrXNiTzkHom1tlTlei2g7Wx3J7m+N6HFb8Tl+D6gr87nPXJfeq/nct163SnuvIfr5vWpFj62t1pn7wLvssd07ntlz4K7fA6Kfr6m8vr3XX2TvI+uOtt8qeq51dz73e1fsR/Q8d3T2tWXPr63PQdmP6OfXbYl+dqutfci+lm9nuGlOhpsAAAAAAAAAeLGosb6aRTi1C2TWZRf4ZBfNlT61oG/xiUVt2f3eWlRU9DoG2e3svS97om1ttSW7r0ut+8x4nraArOW6EqndzpbMNXjr85J5LXvXriM99nWR2dbS0Ta3lNfcc3/et9V67du67h/JHreW9zvzmo5eR+bcLNWIHrdV63Emz+8B9dWcl5nP4XvZcz57TSntXU+z+12zv9nryLorjvfetbXXMchuZ+992RNta6tIdj+Xtl73lpZztZR9nhq1r/kq0XPtdcUxiJ7nrs68vtr38r1I7XVqS+Y6t3X9yXxGWq8XT2K4aU6GmwAAAAAAAAB4saixvprFJC0LuFoX9vR+rujnt9pbHLho2b/3ej/H0fuXXSS1dSwzi5xKNa8zktnfrX3Nvualre3xPE9cQBadk3tF52v0c+v2PpvZz3kk+rmtznzmel4no8fsdbS9I0evu/W1Rf9+1Jn3INreVmeOWbS9qKP7To/zey163FZnzxvq+T2gvprzMnNNWmq9tvR+rujnt6r57tqyf+/1fo6j968cm+hxW20dy+z1s+Z1RjL7G+1rdj9Le+fPnk9+LvbUvObW96NG9Hx7XXEMoue5szOi7e0VHc+ac3Pv2lG2GT1mq0j0c1tdeX6OwnDTnAw3AQAAAAAAAPBiUWOuo4Vx0WP2OtrenuximtLegpjsIrcj0WOyHYkes9XRYqDs8dxacJZdwHdGtL2orX3tfQ7xPE9cQJb9jEXnbPRz67Y+N4voMVut9yH72Tsjc7z27knZe0Tpai2vLXv+lI7OhT3Z43bmGpt5rj3Zfa4RPe6oM8edOn4PyLV3jSyix+x1tL09vb/D9f7cR4/JdiR6zFZH19bs8dy6PmXvMWdE24uK9jX6ub2Ojt+elnN16/ieET3PuiuedxE93153HYNPdua8yl6zoueKfm7d0T5Gj9lq/Z5mPxszMNw0J8NNAAAAAAAAALx826LGvUVA5d/K4pSWhc3vbckuTimdlV3U03NR5t6xzu7XVj2f40j2/dvat+hntzqzqLWIthm1tSir5Zzde094nicuIDt73as9749k7iXrfci8hq3Pb60z+/kus53S2f2ukX1t2ddQOnvNy56vZ45b5pq+97qy+1yj5dgvfeJcmpXfA/JtyXz+ls7KflbLa98TPWarnteQrT55ncq+f1v7Fv3sVkfvx5Fom1Hra+gd52r2c7f33reoec3r49Rb9Jx79T4GRfQ8e23tQ/nfS+WYnf28t77O8rhoe3u9q93vI9FjtlqfY5ljd/Z68RSGm+ZkuAkAAAAAAACAl5kWNa61LsTZWliS3d56cUuraNt77cm8hr39j36+tS2ZRXI1xzq7QCo611oWWX2irXP27KIwnu+pC8iic3Ovd7XXuSOZ62XpXfTvW2Xua5HMtXJv4WT083t9Qua1tXT22BdX72Nre6/tzLm9JbvNqLKNHu8Jf+D3gHg7e21dJ7PbKz/fQ7TtvfZkXsPe/kc/39qWzLW15liXcyd67FbRuZbdxqdan7NPOFd7X+uj51jX+znXoufc64r9iZ5nr8w+ZM+rpTPnV7S9vd5fT801ZOt6/y77ut/1vo59A8NNczLcBAAAAAAAAMDLzIsai/Lz0XaOimQWp5R6yS6o2TtG2eMRaV3YtNXW/kY/u1WN7GuP9qv3a+9ZJPuaaxZ48SxPXUCWvd6+LwiM/n1d7QLC6LFbLXpcZzMyx2rvMx79/FafulZkz4NMtefAkWjbI7T3+rL3shrZ8/6o6B5Mnt8D2s7LSPZ61Ev287p3jLLHI5Ldn6O29jf62a1qZF97tF+9X3vP3vU8ZzIyn5Fez1nUvrdXi55zr57HYBE9z17Zfag91utaZc/l8vOL6N/Xvf/8luxrfj+m0b9vNQvDTXMy3AQAAAAAAADAy+yLGouWRTjRQpfMgq2eC7/PLKiJZBYJRduqPQ61Pxcd68w+1h7rHscxs1+fLpJ9zdF7wbM9dQFZ9rO2XAdqz/no8x2pvY6Vls9PZt97fOYy+7h1vRz1WpF5bZm2jkOLaPsjtPceZc7RUq3sdmuq/awS83tA/vpWij4/Pa61LbL7f3SMMp/TaFu1x6H256JjndnH2mPd4zhecY3r1bvMuVrq5ey51armeaPzrLfoeffqeQwW0fPs1bIP2c9SqfW1Zj9z79eD6N/X1Yoeu9VyrmX2vfY69g0MN83JcBMAAAAAAAAALxY1/pBd5BUtMIl+bqueC1SyC4iOFm9lt7cW/UxU2Y/aRT1rmferVvZ1R+da9jz6ZNH+9j53eJ4nLyCLztG9itZrzpba7ZWW637mMdHnNitzXdq6N2X2ufQpV11zexz3RbT9Edq7nl/5fkePP9vea2Gf3wN+yF5Lomtl9HNbbV1rW/T+Lpfd3lr0M1FlP2qvNWuZ96tW9nVH59pV96Qeve9v9O9b9by+Zo5xdHxbRdtf1/P5tkTPu9cV+xQ9z16t+5D9LLSeZ5lzaqlovfZsqd3eUpE5Rj0/h6Mz3DQnw00AAAAAAAAAvFjU+EN2QUq0KDH6ua16L1CJnmOrmufOLLZ5P+aZ41jULkhav6/Rz0RF79OW7OKo6FzLLuT6ZNH+9njNPNuTF5BlP2+116fM9Tn7GSqi/32rHjLHaeuambm2lz7lymtuj+td9vz4ZFvvdXHl+33VMdl7PWzze8AP2XM+Ot+in9sqc5+pET3HVjXPnbm2vh/zzHEsaq8H6/c1+pmozHUhe22KzrXMcft07/sb/ftWd52r0fFtUfu+fkL0vHv1OgbvoufZq3Ufao/7e62ibe1V9q3ms3r19SP637eaieGmORluAgAAAAAAAODFosY/iLa311r0M1uNvqgxs+DmfXvRv0e1PGZRHhv9e1TmfGhZlLT2lEWNix6vmWd78gKyzLWgVPv5zJ7n0Ta2ylwjaq7VNTLPubWQM3usP+Xqa+5Z2WvsJ9t6r4ur3+9yXK5473p9Zmbi94A/iLa311r0M1v1Plej59iq5rkz16737UX/HtXymEV5bPTvUZnzIXu9jrZ99T3pTO/7G/37Vnedq5n3bk/N+dL7NW6JnnuvXsfgXfQ8e7XuQ3lctL29WmWuCaXaz2n2vIi2sVXmWrH3fe0bGW6ak+EmAAAAAAAAAF4savyDaHt7rUU/s9VdC8VKtc8dPXarIrOw6F3t45b3tnYxUHYhUHYRVnSuZRYqfbpof3u8Zp7t6QvIovP0bFlXfe57fd4y+7d13cxc30ufcvU1d+t41MpeYz/Z3mv71Pt9xfFxn8rxe8AfRNvbay36ma1qv4vXip5jq9rnjh67VZG5bryrfdzy3tZe97PX7+z1KDrXrr4nnel9f6N/36rnuZo5xtHxbRFte12v5zoSPfdeV+xX9Dx7ndmHaHt7tT5XeVy0vbNlZa6BmXp+Bp/AcNOcDDcBAAAAAAAA8GJR4x9E29tr/VzRz2zVe5FK9Bxb1T53ZoFOORatiw1rFyQt+x39W1T2GGcXRkXnWnZRY/n5sp1PFCn/e7RfW21th+d6+gKyKxYSZ2WulZl6yRyj9fV5kX2Nn3LF+79u65jUyF5jS8s1++r2fPr9LvsTbbelM+/XjPwe8AfR9vZaP1f0M1tlv6MeiZ5jq9rnzlwHyrGovR6vP6O1n/9lv6N/i8oe4+x1KDrXsvek8vNlO5/oXbQvW/W8ppb9iJ4jar3PLWqer/dncU/0/Hv1OAZr0fPsdWYfou3t9cnnOqrlvK8531qajeGmORluAgAAAAAAAODFosY/iLa31/q5sgvaesksPixljlH0+KjMa48WkUU/F1X7PJ9YkBQdx+x78ckFdZEer5lne/oCsuxn7qjWz2S0rTP1vDZkrs9b185RrxXZ1xb97zWdeT3R9vYaQfZz1Us5zj0+0+5V9fwe8AfR9vZaP1f2GtNL9jOTOUbR46Myrz26v0U/F1X7POXnsspxiba1VXQcs+9FdCw+IfN+tRzLLZnjc+azvIi2u67H89SKnn+vK/Ytep69zuxDtL29zjxX9rN3VOtnM9rWmXp+/p7CcNOcDDcBAAAAAAAA8GJR4w/lcdH29lo/V3ZRzZkFPO8yC9RKGb0XCpUiLcd/r5YFSdl9iN6/7PFqXTjVS4/XzLN9wwKy6FxtrfUcz16Hj+r5WeuxiDl7rfjUtS372rKv473W9yTa1l4jyN7LrpDdh/d6fn6+nd8Dfmi5NqyfK3vO9jpPs/efjDOfw60iLcd/r5Z7UHYfovcve7xa9rOHK8+ZPdG2tzr7+ah9Pz8pev69zh6DSPQ8e53Zh2h7e515rtr3u7ZWva+Zd10j7mS4aU6GmwAAAAAAAAB4sajxh5YFMevnumtBW7TtvTJ6LxTaWjhfRD/fWovsa43Otew29o7HJ/R4zTyb4aafa9V7MWNPmUXMPa/Rn9Dy2jKPWddyDYy2s9cI19ns+Xylls9Wr+9XM/B7wA/Z70Ol9XNlz9Ve52m07b0yWo7LXj3vMXu1yL7W6FzLbmPveFzpjnO1x/HNqHmNvT6DtaJ92OvsMYhEz7NX6z5kz7HSWdE2W2vV8rr3mpHhpjkZbgIAAAAAAADgxaLGH3oswMku2iqdld3vlkV0PRfp7L0/vZ6nbKdF9v2LXssd58AZPV4zz/YNC8jODKu813rtWETbbOnsfqxljs/ePSJ7nD9xvWh9bdnXsrR3fLZk72293/8W2X2+WnZ/Wt6nWfk94IfsOVZau+M74Cc+Gy3HZqu996fX85TttMi+f9FrueMcaPGEc3XvXKkRbXPd2efIivZhryv2L3qevVr3oeV71lm9riFnvkO0fLa2mvW7jOGmORluAgAAAAAAAODFosb2RSiR6Of2+vTimZYFf70W6Ry91l7P0yr7/OXnI9HP7rW1nRrlsWcfH+3TVmeeizF9wwKyXosZz57fLQs5o3p/zjL7tXedzh7nM/e3Wq2vLXvtey/7urLP1XKfXpTnWjoj+15/QvS8W33i3PsWfg9ovx5Eop/b68y52rLffg/Yln3+8vOR6Gf32tpOjfLY1sdH+7LXp8/Vs8cl2ua6T4v2Ya8zx2BL9Dx7texDy/vd477d8rxRZ76HFdE2Wzq7H09luGlOhpsAAAAAAAAAeLGosW1B+tZik+yC4FLrwqWW/W7V8lzrahboRI/L9MmFd1vvW/YcaF24FO1vef1le6Wa86rXa+a5vmUBWXS+Zjsr+9nfqrfM9XvvGpq9XpTOXJNrnHltLa9nKXstjLaxV+u1dn08yv/9fk+o3W72XM7I7Me7M+812/we0PYdt3xGIi33gZZ9Llr2u1XLc63bOmbvosdlOvPZL+9DtM2ttt637DlQc1wi0f6W11+2Vzo6r1re09ZzNdrWUa3PVdS8B63H/YxoP/Y6cwy2RM+zV8s+tJxbZz6776JtZzur5vyraVaGm+ZkuAkAAAAAAACAl5kXNZafjbZR09bztG4zu3Do04uGzhyrpRpnFwOdkX2NPc+B7PtfZM6BrQV8vV4zz/UtC8haronvjbKo8orFtpljc3QcWq7RrdeN8rij/Tn72s7cczKvK7OfpZbzoOf1PHtcMpZjkT0vzr7XxPweEG/nqK3nad3mlZ+HpTOfizPHaqnGmWty6Yzsa+x5DmTf/yJzDkT3lNZjndnX8rMt52qp5Zgsou2tu0O0H3udOQZboufZ61Pvd8v3nsjZa8iZ6+SiHIdo25l67MdTGW6ak+EmAAAAAAAAAF5mW9RY/v3sopfSnujnayqLWI72/8y+n100FG2zttoFOmcWA51dBJR97r33Kvr5vbL7Xn4+2s5WW+99z9fMM33LArKz1/Wz18dF9rO57orPWGafjq5F2WvGUus17uhxPV5bZhvrat+vluOWORdatr8n+3mqtT7Wmdf4/rijen2eZ+D3gLb2RD9fU/l8HO3/mX0/+7mItlnb1vV3reVatlT7HFuyz733XkU/v1d239fX0qO23vvoZ2uq2d8z72Xp6LOwpeZ577pHRPuyVznOZV/PtD6O0fPsdfQ+lH8vz5M9J9f1UvP+71VeSw/RtjP12o8nMtw0J8NNAAAAAAAAALx826LGsrAmKvrZ1o4Wm/RYVFMq21kWDJXOvI7y2LPOvK6jY/YuenxNZf/OyL6+vedrOVa171HLebCl52vmmb5pAVl0ztbW69w+e7+5Qmafaq5DZ17jcm/bUv79/eeP9qfXa4t+vqaa47WIHn9UzXmZvY6Xju7J6/fhqBpb2zzalyJ7zrlX1fN7QL6jc7blM/le2X6pbKe0/N9nXkd57FlnXtfRMXsXPb6ms5/77Ovbe76WY1X7HrWcB1vK+xL9fG1lX97P1dLZbS7tHd890bbWtW77rGhfrm792Yt+5qjyPq+Lfq61sr2eoueorZezn4OZGW6ak+EmAAAAAAAAAF6+bVHjJ6rRe9HP2Xot4oq2fVR2wVLLYqAei6LKMYq2vdXRMY0eU9OySHCtdZHUelHbu96vmef5pgVkZ667vZxZzLj3WT0jc1xqrqXZ68ZW5bmWon8vHe3P3mPX7W3rzGs62sdF63OU7UfX3nK+ZF7/e0ey5/GRmtdennP9OltfI/X8HpCvRutn86qia0iLaNtH1V4jF9nrTyn7HJHsNfromEaPqSm6FhYtx6VUHrcneswItZyzte/hXaJ9ubr1+x/9zN311nr97XEdWWSvJ+/13I8nMtw0J8NNAAAAAAAAALxY1JirdqHVmQUtveu5QKZlYd3Rorq1lmOXfY5I9nmPzoURzoGj9773a+Z5vmkBWcv1qdTj+vEueo6arvp8ZRZ51t4vWo91tqP96fnazrym2nMos79XVbOv2WNxJHrMVdW+F/zg94BctdfpEb4DLtVe12u0XCezn8mWY9fjc5993qNzYYRzoOa9b3lPP9HR8Y3UvJYe50qraH+ubv16o5+5syvej9Zzuue1soieo6Y7z9ERGG6ak+EmAAAAAAAAAF4saqwvu+DlKYvaMlpeU4toO3v1kH1tNYvuWhdX9epoH694zTzLty0gi87bo3qf1+W6Gz3PUVfJ7E/mntH6OjMd7U/v13bmNdWcR9lrbu9qjkGRvXftOXNMWyLH7wH11X5+Fnd/3kvZfT7S8ppaRNvZq4fsa6u55o/+e8Di09fpmmr3/V20nXUt2+0l2p+rWw/KRD9zV72vT4vsZ3mp91BR6+d/doab5mS4CQAAAAAAAIAXixrral18c/disStkFuq0HrfMc/RaiJRdCDX6gsGa43LVa+Y5vm0BWcvnrbeWxYy9rmORzDHJXrOvvr4d7c8Vry16bG0118jsdbdXmfc2ew5v+fRrvfJz9K38HlBX5vPzLnONuqIrZK4Prcct8xy9PvdXfSe+6xzIHpe7z9V1tcd3Ufv+3Snan6tbnwfRz9xR67WhVvScR/XW8h3o6uPyBIab5mS4CQAAAAAAAIAXixqPO7vI5K7FYtlFYbUyC3VaFxxmnqOX7AKkzPH99DlQe85e+Zp5hm9bQJZZEF26ahFh9Fx7XfnZylx/Wo7Hlde3o/254rVlr4vvfeI5WsucY9nP0Z5PvdbaY8/P/B5w3NlzK3Od6tlV95XMZ9rvAT98+hxoOWezr//qMse3qLlvtZ6PvUT7dHXr1xz9zKf7xP06+z3mqn2Knmuvu8/RERhumpPhJgAAAAAAAABeLGrcL7uwassnF4x9YsFQ7SK9M6Ltrev5WrPvUfbcqD1mZ8ssirr6NTO+b1xAFp27W121iDD7eb9SZl9ar6lXXd+O9ueq13bmnl37PGeeI1PmdS+yi4KPlNeaea+ytbxGfvB7wH69vvd86vNe+sTnofbzfEa0vXU9X2v2PcqeG1deA987873myvM0e1/JHt9oG+vuFu3T1a3Ph+hnPtlV37vXsufyVfsVPddeGG6aleEmAAAAAAAAAF4saowrC1yyi6qOlO1dvbBtpAVDZxccltcSbfe9nrKLoFrOj5rX1Fo53tl9+sRrZmzfuIAsc5296pzOfNavvm5njseZ6/YV17ej/bnytWW2va72PS3n35nnOSr7mhfZ97LWFa+19TXyg98D4spnoPf94erPe+nq+8mivJbo+d87+9msuQ71VPOa3ms5P7LX1kzlePc6Z3ufp2W/rjy+Ncf1U5+NPdF+Xd36dUc/84nuuFdH+7HVVTKf+TuO0YgMN83JcBMAAAAAAAAALxY1/twnFj5lF3fVNOKCobOOjlPv13zlort35XG9Fw22nrefes2M6xsXkGUWEl4per6oqz9XmevN2etq7+vb0f5c/drOvJbM+5q9Fh9V9vvMeZX5DJUyer3Ws6+RH/we8HN+D6gX7cd7Zx0dp96vOfu+tF5/yuPO3Fuirjhvs/eBqPf36MrjGz1+Xev71VO0X1e3Pjein7mq8v5/4pq6pfYcvvL6mTnv7zxWIzHcNCfDTQAAAAAAAAC8zLqocVlsU7prsVN53tpFN1F3LxjaW6zTa5FQtO2l3u9bZvFR6ezzj/D+f/o1M55vXEBWe15fff0sn9HoedddrXY/Sr2u3T2ubzWufm3Za+S67DXz7POV15h9zkj2vWvR+lrLa7z6szsTvwf4PaDV3me45Xobiba91Pt9y16Tzj7/U97/ln0s+7Y+Plcd39rtjiDar6tbnyPRz5ytvN9L5fk+cV7WqD03yn5fKXrOKH4w3DQnw00AAAAAAAAAvFg8MIay+GZZDFQW2KwXu4y4YKhY7+dSr30s24m2f/UipE9b3v/ovV96Pwegl2+9B0SfoXW1C2dbbV2/3pvh87x3f1uua65tPyvH7Oi+8H7cnnzs3s+Po9dJf34PGMPedXL9ORjps7Dez6Ve+1i2E22/HItvcnS9L72fA3dZ9jHaz/JvpfJaPqk853pf1t15zLhXdD6su/r8qDlHy2eKH3wvmZPhJgAAAAAAAABeLB4AmJd7AMC83AOAJ4sGRdZ9euAKaOd7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4APFUZWoqGmdYBz+F7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4APNUvv/wSDjO9V34GeA7fS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cA4KmiYaZ1wLP4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAE/kv9oE38n3kjkZbgIAAAAAAADgxeIBgHm5BwDMyz0AeKJomGnd7373uz/5aeApfC+Zk+EmAAAAAAAAAF4sHgCYl3sAwLzcA4CnKUNL0TDTOuB5fC+Zk+EmAAAAAAAAAF4sHgCYl3sAwLzcA4Cn+eWXX8JhpvfKzwDP43vJnAw3AQAAAAAAAPBi8QDAvNwDAOblHgA8TTTMtK78152A5/G9ZE6GmwAAAAAAAAB4sXgAYF7uAQDzcg8AnqQMLUXDTOuAZ/K9ZE6GmwAAAAAAAAB4sXgAYF7uAQDzcg8AnuaXX375/W9/+9twqKlU/h14Jt9L5mS4CQAAAAAAAIAXiwcA5uUeADAv9wDgyaJBJ+C5fC+Zk+EmAAAAAAAAAF4sHgCYl3sAwLzcA4BvUQadfve73/3J/wU8ke8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMCLxQMA83IPAJiXewAAMArfS+ZkuAkAAAAAAACAF4sHAOblHgAwL/cAAGAUvpfMyXATAAAAAAAAAC8WDwDMyz0AYF7uAQDAKHwvmZPhJgAAAAAAAABeLB4AmJd7AMC83AMAgFH4XjInw00AAAAAAAAAvFg8ADAv9wCAebkHAACj8L1kToabAAAAAAAAAHixeABgXu4BAPNyDwAARuF7yZwMNwEAAAAAAADwYvEAwLzcAwDm5R4AAIzC95I5GW4CAAAAAAAA4MXiAYB5uQcAzMs9AAAYhe8lczLcBAAAAAAAAMDL/+Sv/x9/tXjg3/wr/4ff/1t/7e9Kkr68f+V/+r/99T3gr/7n4c9Kkr4r9wBJkjRK/8q/9+vvJYabvp/hJgAAAAAAAABe/vRf/Nu/WjwgSZIkSZIkSXf1j/7xP/2Tv17yrQw3AQAAAAAAAPBiuEmSJEmSJEnSSBlu+n6GmwAAAAAAAAB4MdwkSZIkSZIkaaQMN30/w00AAAAAAAAAvBhukiRJkiRJkjRShpu+n+EmAAAAAAAAAF4MN0mSJEmSJEkaKcNN389wEwAAAAAAAAAvhpskSZIkSZIkjZThpu9nuAkAAAAAAACAF8NNkiRJkiRJkkbKcNP3+9rhpr/yd373U3/0D/5YkqTu/Wf/1f/jp/tN+b+jn5MkSZIk/br336dKAACMwXCTJEmSJEmSpJEy3PT9vnK4qSyEiE5oSZIkSZIkSeNmwAkAYAz/y//d/+VX39X+nf/o7//+3/2b/40k6cv71//C33EPkKRJcw+QJEmj9K//hf/sV99L/sk/++d/8tdLvpXhJkmSJEmSJElDZLgJAGAMf+lv/b1ffVf7u//Pf/77P/pvfy9J+vL+7b/hHiBJs+YeIEmSRin6XmK46fsZbpIkSZIkSZI0RIabAADGYLhJkubNwnZJmjf3AEmSNEqGm+ZkuEmSJEmSJEnSEBluAgAYg+EmSZo3C9slad7cAyRJ0igZbprTVw43/dE/+ONfncxlYUT53yVJ6tm/+u/9zZ/uN+X/jn5OkiRJkvRz0f8HReV/BwDgfoabJGneLGyXpHlzD5AkSaNkuGlO0ww3WRgBwBX+e//zv/3T/ab83wAAABzzNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHmzsF2S5s09QJIkjZLhpjkZbgKAEww3AQAAtPE3PACAcRlukqR5s7BdkubNPUCSJI2S4aY5GW4CgBMMNwEAALTxNzwAgHEZbpKkebOwXZLmzT1AkiSNkuGmORluAoATDDcBAAC08Tc8AIBxGW6SpHn7xoXtf/0//92/7M/95V9+/6f+zG9//5vf/OZXlf+9VH4m2oYkzdC3Djdl7gHlZ6NtSJKkz2a4aU6Gm+DL/fa38S9lUeVngRzDTQDX+93vfhd+d9mq/DwAMD5/wwMAGNfow01lwWH0d6GtlsWKy4JFC9clabtvWthervfRfaE29wtJs/VN94DyO0P5/h9d32sqj422K0mSPpPhpjkZboIvZ7gJrmW4CeB6hpsA4Dv5Gx4AwLi+bbhpr2XgKXoeSZqxb1jY3vM+UbLAXdIsuQf8unIPKNuMnkuSJF2X4aY5GW6CL2e4Ca5luAngeoabAOA7+RseAMC4Zhpues/idUl6/sL2ci2PrvE9srhd0rfnHrCd3xUkSfpshpvmZLgJvpzhJriW4SaA6xluAoDv5G94AADjmnW4acl/yUnSzD11YfvV94Yli9slfXPuAfu5B0iS9LkMN83JcBN8OcNNcC3DTQDXM9wEAN/J3/AAAMY1+3BTycJFSbP2xIXtn1rUvuQeIelbcw+oqzxntC+SJKlfhpvmZLgJvpzhJriW4ab7/fLLL//y+lUq/++SwYbv4f2lMNwEAN/J3/AAAMZluOlHFq9LmrEnLmwv1+voOr5XecxS9O9HuUdI+saedg+4Y7BpyYCTJEnXZrhpToab4MuVxeDRL1hR5WeBHMNN9ynDC3vXuDIEw3N5f3lnuAkAvpO/4QEAjMtw0x+yeF3SbD1tYfuf+8u/hNfvqPKze4vRy79nhp0sbJf0bT3tHpAdUN26D5T/LXsP8HuCJEnXZrhpToabblAW40ZfeFvyXzHgiOEmuNbow03RZ721co1YWu49d6kddHBdeybvL2uGmwDgOxluAgAY19OHm8rCxK3HWbgoSfs9aWH70f1gKXsdv2q7kjR6T7oHlO/00bU5qlzXo21EZX5XcB+QJOm6DDfNyXDTDXoON0UZdOJdWfgdnSdRFolD3kzDTXstA0+fEu3DVu6JzxO9j1t5f+dguAkAvpPhJgCAcX3rcFNU7aLIzIJISXpy37aw/cz1u2Zxe+aeI0mj95R7wCeGUGsHnPyeIEnSNRlumpPhphtcPdz0noWdGG6Caxlu+nVXX0sy17UlnsP7S8RwEwB8J8NNAADjmmm4qVS2d7R40f+v7JJm6ZsWtvdYcO7+IGmmnnIPqBlu7XF9/tTzSJKkX2e4aU6Gm27wyeGmkoGVuWUWiTtXIM9w03blmnLFgEH0XEcZdHiO6P07yvv7/Qw3AcB3MtwEADCu2YablqJtvRc9RpK+rW9Z2N5rsXnNEFX0OEl6Yk+5B0TX4vd6DhyVbUXP8V7r7x+SJGk7w01zMtx0g08PN5UMrczLcBNcy3DTcT2vLdkBh6Vy72V83l+2GG4CgO9kuAkAYFyzDjddtV1JelJPWdh+tNi8x3+1aenoudwfJH1LT7gHHA23lqLHnenoPtBzmEqSJP3IcNOcDDfd4I7hppLBlTkZboJrGW6qr8ewgeGX7+b9ZYvhJgD4ToabAADGNetwU2lv4aJFi5Jm6Fv+qx3RY84UPceS+4Okb+kJ94DoOvxez+HWpaPfP0rR4yRJUnuGm+ZkuOkGdw03lSz+nY/hJriW4aZcPe5D0XaPcv97juj9O8r7+/0MNwHAdzLcBAAwrpmHm47+f4KPHiNJ39QTFrZfeR/YyvCrpBka/R5w55DR3n2gdMVQlSRJM2e4aU6Gm25w53BTyWLPuRhugmsZbsp39loTbfMoniN6/47i+xluAoDvZLgJAGBcMw83HW07eowkfVNPGG4q1/myyHyrKxaYl+1G94Wl6DGS9LSePtx0xXDr0tH/JwhXPrckSTNmuGlOhptucPdwk/+6wVwMN8G1DDe1deZ6kx1ycG17Fu8vEcNNAPCdDDcBAIxr5uGmUrTNpejnJembesJw0x0dLWqPHiNJT2v0e8DRtfiK4db3oudcMtwkSVLfDDfNyXDTDVqGm8rC3aXo37Mxj8w5Y4E45Bluau/MNaf22ua69kzeX9YMNwHAdzLcBAAwLsNN8XZLVy+YlKS7M9wUZ7hJ0gyNfg+4+7+it/f85d+ix0iSpLYMN83JcNMNssNNWwt3y6LN2sW/6yz4nEfmHLFIHPK+bbip3KPeK9eFpejnz1aeo1V5bLTNJde0Z/P+8s5wEwB8J8NNAADjMtwUb7dkuEnSt2e4Kc5wk6QZGv0eUK7Fe0WP6ZnhJkmSPpfhpjkZbrrB0WLddUeLd7OLPUtnFpPzLJmBBAvFIe/bhptqBgLKPSRzbTnqzBBCeez6vlr2zX3uO3h/WWS/7565rgAAn2O4CQBgXIab4u2WDDdJ+vYMN8WVe0t0XyhZ0C7pW3IP2M9wkyRJn8tw05wMN91gvUj3qJqBk+yCzxJzyAwg1JxrwM9mHG56V+5pmetMlGsPcMRwEwB8J8NNAADjmnm46Wjb0WMk6ZuysD0uuicsfeK/FiJJn8g9YL/oHrDkXiBJUt8MN83JcNMNrhhuKqLH7sUcDDfBtWYfblpk723rXH+APYabAOA7GW4CABiX4aZ4u6XoMZL0TVnY/uuO7g3l36PHSdLTcg/YL7oHLBlukiSpb4ab5mS46QZXDTdlt8scDDfBtQw3/SxzzVlnGAHYYrgJAL6T4SYAgHHNPNxUHhtts2TBoqQZsrD91+3dG0rRYyTpibkHbGfQVZKkz2a4aU6Gm25w1XCTRZ9EDDfBtQw3/VrrgJNrELDF91wA+E6GmwAAxjXzcFO0vSULFiXNkIXtP3d0z/lTf+a34eMk6Ym5B2wX3QPe87uCJEl9M9w0J8NNN7hquKmIHr+VRZ9zMNwE1zLcFGsdcHJvAiKGmwDgOxluAgAY16zDTUfbjR7Tu7IPZf/LYvlStB/lfy8/M8oCyr39HW1fJR1nYfsfOrovlFzfJH1T7gFxNfeD6HGSJKk9w01zMtx0A8NNfJLhJriW4aZtLQNOrkNAxHATAHwnw00AAOOacbjpaJtXLl4v294aZKqpx/DQ3vOXf1v/fOs+t7w3kj6bhe0/OrovlKLroyQ9OfeAuKPvvb7jSpLUP8NNczLcdAPDTXyS4Sa4luGmbdlhhCWANcNNAPCdDDcBAIxrtuGmo+1duXi9ZUBoqzOLKvf2Y/36e+zz2WEsSdc188L2cm0q19LouhXlWibp2zLc9OuOflcouR9IktQ/w01zMtx0g1GGm5iD4Sa4luGmfdl7Xqk8BuCd4SYA+E6GmwAAxjXLcFPtIvYrFivWLJJsrWV/a4ebegw2LV1xXCWdb5aF7cs9oNRybXMNk/SNGW76uZrv7LW/e0iSpFyGm+ZkuOkGhpv4JMNNcC3DTcei59nLtQhYM9wEAN/JcBMAwLi+dbipPG5ZzB49LuqKxes9B4S2yu53zXDTFft9xfGVdK5ZFrafuaa5dkn61gw3/VzNvcI9QZKkazLcNCfDTTe4argps91PLRwv+1Qqz1eK9mP5macuQt067qO8nui4b9XzvCivf3nvo+cqlX9bzoHRbO3/sr8j7jP3MNx0bO86sNVIjq5n5X9frg0jWPZ1vb/LPp55j7e2XSr/dnb7dxjl/R3xPNvbp0/vT9mX9T7s9bTzEABmZbgJAGBcTx9u6tUVCxWvGBDaKrP/e/tV/i0zEJapbDvaH0n3ZbhpP4vYJX1zhpv+UM19wn+1SZKk6zLcNCfDTTcoi0CjL7tblYWjNaKFp1tduRB1axFsbeXx2QWp2QWvpV6LXqNtL/WQPV9K768t817UnmtbyvO27O9Sef6z52b2XFifB5nHrx/LnAw3HWu5LuxdC85+zmuVx7Xez1quZWeu1y37WruPLdsuP3/muEfb3OrM82Rf19LZe9W7UfZjUfanbDd6vr3Ka1jr+V723BYAMA7DTQAA4zLcdM1Cxex+L0NF72UX49cuwm9d5F8qj30v+pm9DApIY2W4Ka78fLQdSfqmDDf9qPZ7e/RYSZLUJ8NNczLcdIPsgtFosWgkeuxWVyyGbV2Yu1dmYWr0+L16HIOj97LHwtrscV2fL5nH155ra+V1tiyE3qv1/Tmz+Dl7rHu8vzyf4aY60XPttXcNOPM5r9Xrmpa5rrZer7PXrvfKY/eOz5ltl1qO/be+v5FR9mPRY3/e96Xne/mJ8wIA+DzDTQAA4zLc9IfKYvZewzfR9qNqBqvKPtUszK9djN+yyP/ouGTep+jxku7JcFNczXVPkp6e4ab677DuCZIkXZvhpjkZbrpBduFozYLV7OLjnnotzN2qvLaaBarZRa+lswtfj457OTZnRdvda/2cmXOj5lxbaznutdW+9++y+7NsP3OclqAw3FQn+xnbux61fs5rtVwPjqq5H2Sedzk+vfZ1fYzK/91r29l74be+v2uj7EfR8/0ulW2VbfZ8L3tuCwAYh+EmAIBxGW76dbVDQlvVLKJveY4yCBVt672ahZeZRf7ZhZw127Y4VBonw037tVyrJekpzT7cVPt7hu+ukiRdn+GmORluukFZeBp96d2qLBDdk12M2rrwNXLFwtytahapRo/b6+yxiLa57owe50rmPTo619ay+9daZoFyy+Ln1vMYCsNNdVquF1taPue1rryvHe1H9nrde1/f9y/69zNl3oNvfX/fjbIfRfZ4Z8p+7vf2Pbuf2eMAANzDcBMAwLgMN23XspCxZn/PLJav2X70uPdqF/m3LuQ82n7Nf61K0mcy3HScASdJ39rsw0019wb3AEmSPpPhpjkZbrpBywLvskBzqTy+1LowtoeyH1cuzN2qvO49Lce2Ve1znVlcmz3G0fHJbKP8bK1Pv/+1x7H8XPT43mWOFd/NcFOdntfn7Od8hOvH0f2r+PR1NerK/aj1re/vYpT9KK7cl5b23svsvu5tCwAYh+EmAIBxGW7aLzvgc7RIsscCyaP/gtPRPl+9kPPoPTPcJI3TrAvby3WqXItqroelHtduSRqtmYebrv4+LEmSchlumpPhphu0LPDuVa+FntG2P9XRwt3oMXu1HpNoW1u1ira1VySzSL12YOeuc7jmvcoufm4tu4Cc72W4qU7LZ3NrX7Lbqn1N0WN7VHttHWG46cpqr5vf+v4uom30KLsf2eP8ifbey6vOCwDgXoabAADG9fThprI4vfzMVuXflwXstYvY15XtRPsWFT3+vegxLUXbXjoaHqo5DtHjMkXbfC96jKTPN/t/taNUrvEWuUuasVnvAeW7cnSdXxc9VpIkXZPhpjkZbrrBXYMhvYYxRlh8vbdgNXt8W45L9jlaFtj2eh2Z96tmYXR2cXHPRtq/lvOG72S4qV70fHtt7Uv2c17zmq68dtQe0xHur1dX41vf32KU/ShGPN/2XkP22GWPBwBwD8NNAADj+obhpuhxey3DTtH2toq2s+5ooWTLvm51dFz2BrKOXnuPBfxHxyJ6jKTPZ7jpD9XcF3pexyXp7ma8Bxx9h17a+y4tSZL6Z7hpToabbpAdWulRr0GMkRbCbi1azS5+LWVlj0PL8c8+x5bMdsrPHokeV1M5BuW9WSr/d8v5dHQsW97/lsrzQGG4qV70fHttfd6zn/Oa19RyXS/bXdq6ptU896Llmvi0ao5H+ZnosVvVbHOE97cYZT/Kz6+3MUJ7ryO7z9ljAgDcw3ATAMC4Zhxueu9oCGepZuDnaGF89JgzRc+xdGa4qcfifcNN0jMy3PRzNQNO0eMk6YnNdg8w2CRJ0rgZbpqT4aYblIWp0ZfgT1Seu9VoC2HL4t4t2WOcXQAbbeOorGgbW+0di8xC6r3tFC3nbtnm0fHN7GNpz6fOU4umWRhuqhc9315b96zs57zmNUWP22pve+/Xyew9N3stfK88tjxf2bdSy/V6r/dtl1r3teaYlO1Hj92q/PyR6HFb7W3v/bjWvJa19+c5apT9+GR7r/mK8wIAuJ/hJgCAcc0+3LRUs6D9aKFj9JilXvv53t4A0d7zfWII6+h9s2hUGiPDTb/uEwOgkjRCs90Domv6Otd4SZLuyXDTnAw33eB9QepdtSz47LHoulSeu7T839HP17b1Osr/Hv38VmU/arXuc+aYZ59jb9uZ96387J7oMXsdbe9dZj/33q/sex9Vth8d0/K/L/sJC8NN9aLn22vrs579nB+9psz2aq5rZXuZ698icx18b+/1tW5zae91ZN+HUu3xix671d7rLzLbq92/mp9bG2U/st8x1pXHL/fJ0vJ/l32Jfj5T2d6WzPEr7W0LABiH4SYAgHEZbvpDRwvay79Hjyt9cj+Xyjaj5yrt7avhJklLhpviouvW0t71VZKe1Ez3gKPvvyXXd0mS7stw05wMN93g7KLSXmUWxJ7Z5/LYPWXx6ZkFsVuin92rVvTY2mpljsfR+9hrW9lFxaWszL5uadnPpfL8NYuhLZjmneGmetHz7bV1/8h+zo9eU+Yed3RPOyNzDVyq2Z/ocTXt3RMWLft85Fvf31H2I3q+mso+9TzWUXvb731eAABjMNwEADAuw00/Fz3He9FjSnuDRktlwWTvoudZivaz1Pq4TIabpGdkuCnuE9dJSbq7We4BR9f0UvmZ6LGSJOkzGW6ak+GmG5xd+NmzmoXLRcvi5dptL7KLVpe2Fq9esQj2ykW7i+x+Hy2Azrx3e+9Z9hyoea1rmeO79bqzx28pe77CwnBTvej59ur1OT96TZlrz5XXiux1tlQj8/re2zr+71quuUe+9f0dYT9a3q/S0TFeazmXS3vP0/u8AADGYLgJAGBchpt+7mhIaev5aoabPl20n6W9BZ69FnYabpKekeGm7aJr11Lve48k3dEM94Cj76RLvptKknRvhpvmZLjpBq2LjK+qZvFn9Li9WhflZheulvYWX0c/v1XNIu7WxbpLvZ+j5jj32l7083u1qt3frX1tOYdKFkHTynBTnZbP5ta+ZLd19Jqy9+WrjlHmel2quacULce+VCt67F5HvvX9HWE/svtQat2PaFtH7T1X+bfoMVtd9T4CAH0ZbgIAGJfhpl8XPc/S1vBPzf+P8J9ua5Gm4SZJS4abtouuXUu9rpWSdGfffg84+j665HupJEn3Z7hpToabbtCysPTq9haAfnIhbNHyfFuy2zoSPSbbkegxW5XXd6THcFN2QXHNfm2pfc96Djed2V8w3FSn5bO5tS/ZbR29puy9orR1DTojO9yUea+ix++VeX3Z43e039/6/o6wH9Fz7HXm+bPvY2nvvex9XgAAYzDcBAAwLsNNv+5oUKnlMXe0tVDTcJOkJcNN233iWilJd/bt94Do+r3Of4lPkqQxMtw0J8NNN8gubt1bWFoWbpZaFsy+Vx6/pTx/9Jit9rZVK9ruXnsLWKOf32pvO2eP8VLP56iRef+2zrXsfu29xiOZ54qU545+dq8z+wuGm+r0/Gxmt3X0mlr2balcN4+2Xyt7v8248l7e+x7xre/v3fvR8vxnZc+7vdeY3f+zxwsA+AzDTQAA4zLc9OvKNqPnWooeY7jp5ww3Sc/IcNN2LfcCSXpS33wPqPlublBVkqRxMtw0J8NNN8guAi4LQ2uVhZzZhaRLW4tAo5/dq4fsMdpbhJ3Z1t52op9vbUvmvdvb13eZbW6da63n1NVF52x28XMJzjDcVCd7XS9tyX7Oa15T9LhM5TpZe13ekr3WZmSPf+Y86P1+fOv7W0TbznRmP7LnQI/XW0Tb3mrvvbzivAAA7me4CQBgXIabft3RgvZoMMdw088ZbpKekeGm7Qw3Sfr2vvUeYLBJkqTnZbhpToabbpBdXFoWsmZlF0iXthaxRj+7Vcu+RrILWPcW4Ga3Fcm+Z0dtLbiNfnarWplzYev9i352hKL3Pft+9zpnmZfhpjot96Ut2c95zWtq2b+tWq8rmX3IPkf2PpbR+/341ve3uHM/ss9dc1xrZJ537zmvOC8AgPsZbgIAGJfhpl/Xe7hptMWTn9hXw03SMzLctJ3hJknf3jfeA46+gy75LipJ0lgZbpqT4aYbZBcYty6ibVlAu5ZdSLo3ZJQVbX+ro2OUOebRYtjaY1n7c9Fxyuxj5pzInAdb241+doSi43jnOcucDDfViZ5rr73PZvZzXvuaoseeKXOtLnpcr7dk7jGljN7vx7e+v4toW2eq3Y/M+VXqJXPu7b2XV50XAMC9DDcBAIzLcNOvaxluetIieMNNkpYMN21nuEnSt/dt94Cj759LvodKkjRehpvmZLjpBtkFxq2LZ7OLQEvrhaBXLoY+0vO5s8diLfqZqLLPtfu9lll0nJHZbnSutZxHn6rH/pb3C84w3HSs5Tqytx/Z7dW+pux9p6Zynap9/rPX6z0976lrvd+Pb31/F3ftR/S4rXreGzPv595ryGynlH1fAIB7GG4CABiX4aZftzf8U4oWRBpu+rmj982iUmmMRl/YXq5JW11x/X+vPEd0/VqKHiNJT+qbhpuOvnsu+Q4qSdKYGW6ak+GmG2QXtWYXML+LtrfXeiHolYuhj/R+7syi8ffjkNmPonbx7fpYRz8TlT0fMq872nbt67mjHvu7fh8gy3DTsez1vLS3H1d+zjPXzEw1+3D2er3nyvt57/fjW9/fd3fsR/TzW5XzpafoOaL29v/K8wIAuI/hJgCAcRlu+nXR87wXPeZJwzx7C/bLv0WPyfak4yHN3OgL26Prx1Kv69VW0XMuXf3ckvSJvmm46WggteTaLUnSuBlumpPhphtkFxhnFzC/yz7XejHrlYuhj/R+7syi2PfjEP17VMtjFpnXml2se3axfHYx8Sfrsb8WP3OW4aZ9rdeQPVd/zrP3n9qOnL1e7+l9T33X+/341vd37dP7Ef3sVmXfeoqeI2rvvbz6vAAA7mG4CQBgXIabfu7o+bYWRX56P8+0t/iz16JPw03SMxp9YfvRYvXoMT160jVdklr7luGmo3tFqdd3XEmSdE2Gm+ZkuOkG2cWs2QXM77LPtV7Mmn18T1c8d/S4rYrMPryrfdyy8LZ2QXvLuXB2sXx2MfEn67G/Fj9zluGmfdlreak8Zs+nPueZ62dNR9fws9frPVfcUxe9349vfX+3fGo/op/d6ugzmJF5P/fey0+dFwDAZxluAgAYl+Gmn4ue472954t+/r3oMWcr+1PKDAsZbpK09PThpquGjMp2o+dbcg2T9A19w3DT0fV6KXqsJEkaJ8NNczLcdIPsAuPWxbLF2efKPr7nQtLsYt8amddTXkvtPqyPW+0C3GXxcPRvUcvPZ2SO4/p1FNnFxKXymE+1Vv63aJ+2irYBGYabtmU/j0tHPv05z96P9trbl7PX6z3Z+3lG7/fjW9/fI1fvx5Xn157M+7l3/DLbKZ15LwCAzzHcBAAwLsNNf6hmceTegvajx/fc16WW7RtukrQ0+sL2o+tqr2vWe0fXr1L0OEl6Wk8fbqq5Xpd875QkafwMN83JcNMNsguMzywwPftcdy4kvWoRbvT4qMzzR0NH0c9F1T5P5jW+63Eco5/d604WP/Nphpu2Za4/SzVDnHd9zsu+tbym9/au5T2u11uy3wcyer8f3/r+1rpqPzLb7PE6Fplzb++9vOu8AACuZbgJAGBchpt+VLs4MnrsUs02ei6u3BpSOnoOw02Slp6wsD26hrzXe3B07xpZumJQVZLu6MnDTTXfu0u+c0qS9IwMN83JcNMNsguMzywwzS6OXT9XdiFpeW29RNvfKnOMsse/pkj22B3Vemwz58DWcYx+dq87WfzMpxluimXvP0s1z3/357xsr/X17d2velyvt2TvfRm9349vfX+zeu9Hdlu9RNveau+9vPu8AACuYbgJAGBchpuOF7Iv1SyOPNpWr+Ghmn2OHlfae2yv/Tt63yw0lcboCQvba653va4pn3wuSbq7Jw83RdfndYZRJUl6Toab5mS46QZPGm4qop/bq4fsMcoM/mQXxx619/5EP99aq8w5sPVasufRnQuKLX7m0ww3/Vr2mrG0dz19N8rnvGy35bVuyWyr9lgtDDfl9X5/W/Xajyu/W23p+V723BYAMA7DTQAA45p1uKlstzw22mZU7dDP0f6Wzg4Q1Sy+33uOvcef3belo+NgOEAao6csbI+uI+vOLmI/e22VpKf11OEm12tJkr4vw01zMtx0g+zi0uwC5nfR9vaKFrJmF9T2WAwbbXev7ALW7Huw195z93qeM8c08/5tnWt3nAOtLH7m0ww3/Sx7vXiv9rlH+5xHz7nX1v70uF5vyd6PMnq/H9/6/p4VPdde6/3IHtfSWdnrwd6xy+7/Ve8DANCX4SYAgHHNMtxUtlPKDDS9lxnGqVlwWcoO+JSf77GYc28bvRaCln2Ntr+Ufe2SrukpC9trr6vl51qurdG2oly7JH1TTxxuqr0fRI+VJEnjZrhpToabbpBdYJxdwLxoWWAeDaVk97d0ZkFpy35ntSzwjTp6b3o9zxmZ47n1ej51zhblmJ05f7LH/MxzQWG46YfsZ29ddP/ZMtrnPHuN3NqfHtfrLdl9zOj9fnzr+3tWj/2Ifm6vs/fzaJt77R277Paueh8AgL4MNwEAjOvpw02fqGUxe7SdqJqF+GUgq3YhZ+loe3vbKv8WPSbb0fvWckwl9e9JC9sz18Hys3vDr+UadHSdWnf2vwwlSaP1tOGm7HX7ynp9Z5YkST8y3DQnw003yC5ObVlY2rKgtBRp2VbrYthPPld5XLS9TOW9PBI9LtOZhcVF5nXuPVf083u1Wu9v+b9L5VjXHG+Ln/m02YebWq7b6/auPZErP+c115m1Xvuzvv7tlT1m2e8eGb3fj97be3fn+/vurv3InGNLmeP7LtrWUXvP1eP1AwDjMdwEADAuw037tQ7htO53WSj5XvQze9Xs7952y79Fj8l29Ppbj6ukvj1pYXvrdbV05rpa6nVtlKSRmuUecEXuC5Ik9c1w05wMN90gu8A4u4C5ZeFqae95op8/Krvf2UWrSy0LhIvW53uvRvb9XndW5nzYe8+y51X2/S8y70nZfrRwOfu+RtuAjNmGm8q/l85e297Lfg7Lz0fb2ap2+8t2s9evXvuTuc5m9zH7fmX0fj96b2+xbPeu93dx5360fm6PXtO78rOZc/m9vefp8foBgPEYbgIAGJfhpu3ODuB8et9r93dvcX+vhZpHr/3ssZXUJ//VjuMsYJf0rT3lHnDHtf8o9wZJkvpmuGlOhptukF1YWrP4tWyzdSHpUtnGluyC0vdqFpe27nt2YfBatM3aap/7zLE7+/qKzLHde76WBdGZhcUtxymS3U5mHyHybcNN5TpQPu/vlf8tcy3J1PIZvOJzvt7m3vVwLXt93JI5xpn9K3rtY6T3+/Gt728xwn5kzrP3avY1+96t23svs9ve2xYAMA7DTQAA4zLc9Ov+3F/+JdyXlj61/5lhIcNNkpaeNtxUKtePvetYz3reDyRptJ5yD/jUNT+T4SZJkvpmuGlOhptukF2cWioLSqOin23tSPSYTOV1l4WmS+X/PvsayjbOyC6UfS/z3NHja+qxMDdzjMvP7ml5v2peQ8v7sHX8s9vqcYyZ27cNN32y1mv4FZ/z6HHlmnf02Oy+7F1ne16v18qxjrazVUbv96P39orocZ9+f4utx3xyP7Lnwrqy7bKNsk9LZ7e5tHccssdgb1sAwDgMNwEAjMtw0x8qi9ivGLq58jW0LKzcWyDaa6Hm0Wu+4jhLyvfE4aalqxe7u05J+vaecA+4+lrfWq/vzJIk6UeGm+ZkuOkGvRaA9qzs05HsotKrO1pAXCva9lHZ5255z3u9vrKdaPtRR8/Zeu6W7UbnWDmnMvv33haLn/k0w01tnbnG9f6cH12HomtY2WbLNTG6Fi4y18Ps8cvua0bv92PW9/dT+1Ec7ctd7b2Xvc8LAGAMhpsAAMY1+3BTGWj61H+ZozxPtA8tlQWVrfu9t0i010JNw03SM3rycFOpXEt6L3z/1D1Bku5u9HvA1b8HnMlwkyRJfTPcNCfDTTdoWaR6ZWWBa62RFsP2WrR6xaLhteyC3FL2ObZk3rOac2GEc8DiZ0ZiuCnf2c9dz8/5p+/Je3pfr99lX2dG7+vuN76/I51nxaf3p7a997L3eQYAjMFwEwDAuGYabloGgkp3DtecGXJaXkO03dr2BgF6LdQ8et/uPP6S/tDTh5uWyjVl79pWk+uSpNka+R5w9F3y7np9Z5YkST8y3DQnw003GG1BaXbx5+jDLVnZxbKlFtF29urlisXy0WM/1dE+WvzMpxluytXjM9frc57dztnK/X/PFdfrRfa7R0av92Pxbe/vKPuxljnfPtXeudHrvAAAxmK4CQBgXKMPN31zZdHmMmwV/e2rtAwznR1okqSobxluem+5tpbrZzTwtPzv5WcMNEmauW+8B0iSpGdmuGlOhptuMNJwU8vCz08v0l2XXdBdI/OetD5/5jlqFybXuGKx/J3nwBGLn/k0w011letLr89br8955vrYoyNXXK8X2e8eGb2vu9/2/o52nr379L4dtXdu9D7PAIAxGG4CABiX4SZJmjcL2yVp3twDJEnSKBlumpPhphuMMtx0ZtFndoFpr7KLuWtlXk/r4FHmOXrKLFzOHN87zoGacza7XzXbhD2Gm47rObBZ9Pycf2q4o+Zac9X1uphxuKkY5f0d6Tx7lz3WV7e3/9l9zR4LAOAehpsAAMZluEmS5s3CdkmaN/cASZI0Soab5mS46QZ3DzdlF0RvKYtGP7VYt3T1ItXa13JGtL11vd6fReY9yj53dqFxa2W/at//7D5dfV7x/Qw3bVfud1d8xnp/zq++L9cegyuv17MONxWjvL+j7Mda9nhnyr7mvdeQ3c/W4wEAfJbhJgCAcRlukqR5s7BdkubNPUCSJI2S4aY5GW66wdWLW7cqC6HLc/d29evJDLacUbNoNruYfK3mWPV25WL5ohy3zHNky56zFj/zaYabfl353F752bric57dZm2Z43Dl9Tp7r87o/X703l6R3WZtNc/9bpT9iPS+l5d9yr7evdfRc1sAwDgMNwEAjMtwkyTNm4XtkjRv7gGSJGmUDDfNyXDTDa4eBlpXFqtevcCzbL/36yr7nR1sOSvaj/fOOlqYm12sXiOzWPnM81/x/rect0fHeN3Vnw2+n+GmH5VrwKc+T1d+zjPXzL1a7l9XXq+z1+iM3u/Ht76/70bZj7XseRL1fm72fC+vPC8AgPsYbgIAGJfhJkmaNwvbJWne3AMkSdIoGW6ak+GmG/RYOBpVFpOWyvZ7L3atVRaSnn19y2u4w97C2ffFumdE2166YiFu2e/ouaJ6vMby3mWec115/JnjsPceRl1xzJnLbMNNyzV6+aze8Rn6xOe89Tp25hp25fW67Fe0na0yer8f3/r+RkbZj7Xs+VIqr2W9Tz3fy57bAgDGYbgJAGBchpskad4sbJekeXMPkCRJo2S4aU6Gm7hMWVRaKgtktxbvlv+9dPUi3YxoP0tlH3vYWjBcjsO3Wd77rfe/NNr7D1mjDzdxTrk+Ldcy17DvM8r7O8p+RJb9Wu/bsk937RcA8B38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFyGmyRp3ixsl6R5cw+QJEmjZLhpToabAOAEw00AAABt/A0PAGBchpskad4sbJekeXMPkCRJo2S4aU6GmwDgBMNNAAAAbfwNDwBgXIabJGneLGyXpHlzD5AkSaNkuGlOhpsA4ATDTQAAAG38DQ8AYFx/4W/+n3/1Xe1/+Df+q9//j//X/7Uk6cv71/78f/L73/wP/sW1/y33AEmaI/cASZI0Sv/an/9Pf/X3ScNN389wEwCcYLgJAACgjb/hAQCM60//xZ//9i1JkiRJkiRJd/aP/vE//ZO/XvKtDDcBwAmGmwAAANr4Gx4AwLgMN0mSJEmSJEkaKcNN389wEwCcYLgJAACgjb/hAQCMy3CTJEmSJEmSpJEy3PT9phlu+u//L/6T3/9bf+3vSpLUtf/O/+hv/HS/Kf939HOSJEmSpJ8rf697/32qZLgJAGAMhpskSZIkSZIkjZThpu/3lcNNf+Xv/C48oSVJkiRJkiSNW/m7HgAA9/tLf+vv/eq72j/84//r7/+///DvS5K+vH//P/xP/8V1/z/4qX/4//6vw5+VJH1X7gGSJGmU/v3/8H//L76L/Pz3yX/yz/75n/z1km9luEmSJEmSJEnSEBluAgAYQzTc9E/+P/+33//+H//fJUlf3l/63/wd9wBJmjT3AEmSNErh9xLDTV/PcJMkSZIkSZKkITLcBAAwBsNNkjRvFrZL0ry5B0iSpFEy3DQnw02SJEmSJEmShshwEwDAGAw3SdK8WdguSfPmHiBJkkbJcNOcDDdJkiRJkiRJGiLDTQAAYzDcJEnzZmG7JM2be4AkSRolw01zMtwkSZIkSZIkaYgMNwEAjMFwkyTNm4XtkjRv7gGSJGmUDDfNyXCTJEmSJEmSpCEy3AQAMAbDTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiRJkiRJkobIcBMAwBgMN0nSvFnYLknz5h4gSZJGyXDTnL5yuOmP/sEf/+pk/rN/7Y9+/+/+zf9GkqSu/Xf/nf/op/tN+b+jn5MkSZIk/Vz5e93771Ol8nc9AL7TXzXACo9iuEmS5s3CdkmaN/cASZI0Soab5jTNcNNf+T/98e//6L/9F/8mSVLH/tX/2d/+6X5T/u/o5yRJkiRJP1f+Xvf++1TJcBPA9yrXeQNO8ByGmyRp3ixsl6R5cw+QJEmjZLhpToabJEk6keEmSZIkSWrLcBPAXJZrvQEneAbDTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLu/XewNOMD7DTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLutrvgEnGJvhJkmaNwvbJWne3AMkSdIoGW6ak+EmSZJOZLhJkiRJktoy3AQwl/U1v2TACcZluEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9zV8y4ARjMtwkSfNmYbskzZt7gCRJGiXDTXMy3CRJ0okMN0mSJElSW4abAOayvua/Z8AJxmO4SZLmzcJ2SZo39wBJkjRKhpvmZLhJkqQTGW6SJEmSpLYMNwHMZX3NX2fACcZiuEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9zY8y4ATjMNwkSfNmYbskzZt7gCRJGiXDTXMy3CRJ0okMN0mSJElSW4abAOayvuZvZcAJxmC4SZLmzcJ2SZo39wBJkjRKhpvmZLhJkqQTGW6SJEmSpLYMNwHMZX3N38uAE9zPcJMkzZuF7ZI0b+4BkiRplAw3zclwkyRJJzLcJEmSJEltGW4CmMv6mn+UASe4l+EmSZo3C9slad7cAyRJ0igZbpqT4SZJkk5kuEmSJEmS2jLcBDCX9TW/JgNOcB/DTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLutrfm0GnOAehpskad4sbJekeXMPkCRJo2S4aU6GmyRJOpHhJkmSJElqy3ATwFzW1/xMBpzg8ww3SdK8WdguSfPmHiBJkkbJcNOcDDdJknQiw02SJEmS1JbhJoC5rK/52Qw4wWcZbpKkebOwXZLmzT1AkiSNkuGmORlukiTpRIabJEmSJKktw00Ac1lf81sy4ASfY7hJkubNwnZJmjf3AEmSNEqGm+ZkuEmSpBMZbpIkSZKktgw3Acxlfc1vzYATfIbhJkmaNwvbJWne3AMkSdIoGW6ak+EmSZJOZLhJkiRJktoy3AQwl/U1/0wGnOB6hpskad4sbJekeXMPkCRJo2S4aU6GmyRJOpHhJkmSJElqy3ATwFzW1/yzGXCCaxlukqR5s7BdkubNPUCSJI2S4aY5GW6SJOlEhpskSZIkqS3DTQBzWV/ze2TACa5juEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9ze+VASe4huEmSZo3C9slad7cAyRJ0igZbpqT4SZJkk5kuEmSJEmS2jLcBDCX9TW/ZwacoD/DTZI0bxa2S9K8uQdIkqRRMtw0J8NNkiSdyHCTJEmSJLVluAlgLutrfu8MOEFfhpskad4sbJekeXMPkCRJo2S4aU6GmyRJOpHhJkmSJElqy3ATwFzW1/wrMuAE/RhukqR5s7BdkubNPUCSJI2S4aY5GW6SJOlEhpskSZIkqS3DTQBzWV/zr8qAE/RhuEmS5s3CdkmaN/cASZI0Soab5mS4SZKkExlukiRJkqS2DDcBzGV9zb8yA05wnuEmSZo3C9slad7cAyRJ0igZbpqT4SZJkk5kuEmSJEmS2jLcBDCX9TX/6gw4wTmGmyRp3ixsl6R5cw+QJEmjZLhpToabJEk6keEmSZIkSWrLcBPAXNbX/E9kwAnaGW6SpHmzsF2S5s09QJIkjZLhpjkZbpIk6USGmyRJkiSpLcNNAHNZX/M/lQEnaGO4SZLmzcJ2SZo39wBJkjRKhpvmZLhJkqQTjT7c9Nf/89/9/je/+c1m5d+jx0nq15/6M78NP3+l8m/RYyRJkmbIcBPAXNbX/E9mwAnyDDdJ0rxZ2C5J8+YeIEmSRslw05wMN0mSdCLDTZKOMtwkSZIUZ7gJYC7ra/6nM+AEOd8w3PTbP/tvhP/7aP3uv/yPf//LX/3z4b9J0h1Z2C5J8+YeIEmSRslw05wMN0mSdCLDTZKOMtwkSZIUZ7gJYC7ra/4dGXCCet8w3FT+/hb976NVBpsMN0kaKQvbJWne3AMkSdIoGW6ak+EmSZJOZLhJ0lGGmyRJkuIMN/FkZUBCUq71Nf+uyr4Ax54+3FT+a0jl729PGBoq+/mU/8qUpDn6hoXty32gpWh7kjRL7gHxNiVJ0ucz3DQnw02SJJ3IcJOkoww3SZIkxRlu4snW566kZ2XACY49fbipDDWVv7+NPjT0vvAy+ndJuqNvWNi+XFtbirYnSbPkHhBvU5IkfT7DTXMy3CRJ0okMN0k6ynCTJElSnOEmnmx97kp6XgacYN+3DDeVRv6vN73/rTD6d0m6o6cvbH+/B7QUbVOSZsk9IN6uJEn6fIab5mS4SZKkExluknSU4SZJkqQ4w0082frclfTMDDjBtqcPN73/DW7U/3rT+3+1qTTyEJakuXrywvb1tbWlaLuSNEvuAfG2JUnS5zPcNCfDTZIknchwk6SjDDdJkiTFGW7iydbnrqTnZsAJYt803FQqCx2jn7uzMnT1vo+GmySN0pMXtq+vrS1F25WkWXIPiLctSZI+n+GmORlukiTpRIabJB1luEmSJCnOcBNPtj53JT07A07wa08ebor+f2wf7b/e9IR9lDRvT13Y3uO/2FGKti1Js+QeEG9fkiR9PsNNczLcdFN7i1yjys+X/txf/uVfZjG6JI2R4SZJRxlukiRJijPcxJOtz11Jz8+AE/zsycNN5b+AFP0tLvrZu3rCPkqatycubO+1qL0UbV+SZsk9IH4OSZL0+Qw3zclw001lh5v2MuwkSfdluOmayn6V+9uyn8uAb/Sz+o7K+/v+/eibvt8YbpIkSYoz3MSTrc9dSd+RASf4g28cbir/e/TzdxTtXyn6WUn6dE/9r3bUtnWfWIoeI0mz5B4QP06SJH0+w01zMtx0Uz2Hm94z5CRJn81wU//29tkgyHe2973oG77bGG6SJEmKM9zEk63PXUnfkwEn+OHJw03R3+GWop//dHsLKkcawJI0bxa2x4+TpBlyD4gfJ0mSPp/hpjkZbrqpq4abSmXbhpwk6TMZburb0f6W/Becvqua70TR456U4SZJkqQ4w0082frclfRdGXCC7x1uGmF4KNqvpdmHm377Z/+NzX73X/7H4WP2iraz1LI9aZYsbI8fJ0kz5B4QP06SJH0+w01zMtx0U1cONy0ZcJKk6zPc1LcyuBTt57rosXpm0fu77ukDbYabJEmS4gw38WTrc1fS92XAidk9dbipDKxEf4dbKkMt0eM+1ej7d3fl9UfHpdRybHpvT5olC9vjx0nSDLkHxI+TJEmfz3DTnAw33dQnhptKBpwk6doMN/Ut2seo6LF6XrXDbIabJEmSvjPDTTzZ+tyV9J0ZcGJmTx1uOlqsWLrzv9izN2yzFD1ulgw3SWNkYXv8OEmaIfeA+HGSJOnzGW6ak+Gmm/rUcFPJgJMkXZfhpr5F+xjl3vYd1Q43PX0AyHCTJElSnOEmnmx97kr63gw4MatvHm66a6jl6L/atBQ9dpYMN0ljZGF7/DhJmiH3gPhxkiTp8xlumpPhpps6Gm6KHlMWci/VLgZesghckq7JcFPfaod/o8fqeR2dn0v+y02SJEnfmeEmnmx97kr67gw4MaOnDjdFf4OLih57dTWDV6U7/8tSd2e4SRojC9vjx0nSDLkHxI+TJEmfz3DTnAw33VTLcFNUWRRcsxDcwllJuibDTX2rGd59+qCLfi56j9dFj3tShpskSZLiDDfxZOtzV9L3Z8CJ2Xz7cNOnB1tq/6tNpbLgMtrGDBluksbIwvb4cZI0Q+4B8eMkSdLnM9w0J8NNN9VruGmpZjH4aAvYJekbMtzUv96DIOU1lsdtFT1Gn+uJ52i2cp5Fr63kHNzv/bO67hvODUmSZs9wE0+2PnclzZEBJ2byxOGmzABRKdrGVR0tonxv5qEbw03SGFnYHj9OkmbIPSB+nCRJ+nyGm+ZkuOmmyoLM6AvyUvSYo44GnPyXLiSpf4abrim6p7Xex2YYnnl65T1Yfzf6puGVve995d+ix+hHjp0kSd+d4SaebH3uSponA07MYobhprKwMdrOFUXPv5Xhpn7HxXCT1JaF7fHjJGmG3APix0mSpM9nuGlOhptuam+hZil6TE1XbVeSFGe46drK/p3dx6cfg5nq8X6PmAGd9hw7SZK+O8NNPNn63JU0VwacmMETh5uOFiqu+9RwS3boqhRtZ4YMN0ljZGF7/DhJmiH3gPhxkiTp8xlumpPhppu6agjJAm5J+myGm8bPMdDdGdBpz7GTJOm7M9zEk63PXUnzZcCJb/fE4aa9QZatyuLGaFs9i573qDIQFW3r2zPcJI2Rhe3x4yRphtwD4sdJkqTPZ7hpToabbuqq4aZStL2lP/eXfwkfI0lqy3DT+DkGujsDOu05dpIkfXeGm3iy9bkrac4MOPHNnjjcFP0N6airB1xa/qtNpU8MXY2Y4SZpjCxsjx8nSTPkHhA/TpIkfT7DTXMy3HRTVw437W3bcJMk9c1w0/g5Bro7AzrtOXaSJH13hpt4svW5K2neDDjxrZ423NQ6RFSKttero8WTW806eGO4SRojC9vjx0nSDLkHxI+TJEmfz3DTnAw33dTeQs1S9JjaygBTtM2S4SZJ6pvhpvFzDHR3BnTac+wkSfruDDfxZOtzV9LcGXDiG8003HTVkMvRPhm8+XW9j4ljLLVlYXv8OEmaIfeA+HGSJOnzGW6ak+Gmm7pruMkiUEnqm+Gm8XMMdHcGdNpz7CRJ+u4MN/Fk63NXkgw48W2eNty0t0ixDLHsDbmUom2erWbhZPS/L623N0O9h5F6b0+aJQvb48dJ0gy5B8SPkyRJn89w05wMN93U3kLNUvSY2gw3SdLnMtw0fo6B7s6ATnuOnSRJ353hJp5sfe5KUsmAE9/kacNNe0MsZQFj+Zno35aWn+lZ9DxLNftU/stP6232rOxDaevYLf9+9X6813sYqff2pFmysD1+nCTNkHtA/DhJkvT5DDfNyXDTTe0t1CxFj6nNcJMkfS7DTePnGOjuDOi059hJkvTdGW7iydbnriQtGXDiWzxtuCn6+9HSMpyzN+hSWm/zTEeLJmv2qWxjvd0eHe1bVNnPvSGn6DFLe6/j6D3JdMX2pFmzsD1+nCTNkHtA/DhJkvT5DDfNyXDTTe0t1CxFj6ltb9tl8Cl6jCSpLcNN4+cY6O4M6LTn2EmS9N0ZbuLJ1ueuJL1nwIlv8KThpjJ0E/39aGkZyjn6uZ7DRNH2l96fZ28Yp/zb+zbPdrSQs6atfYp+dmnvuBpuksbMwvb4cZI0Q+4B8eMkSdLnM9w0J8NNN7W3ULMUPaa2vW0bbpKkvhluGj/HQHdnQKc9x06SpO/OcBNPtj53JWmdASee7puGm95/9hPDRLXDVqW9xZU996fn0E/p/TWUop9ZMtwkPS8L2+PHSdIMuQfEj5MkSZ/PcNOcDDfd1N5CzVL0mNqi7S1FPy9Jas9w0/g5Bro7AzrtOXaSJH13hpt4svW5K0lRBpx4sicNN2UWKB797Hpop6W9AZv1wNLRINT7z7Z0tP0zvR+r6N+XDDdJz8vC9vhxkjRD7gHx4yRJ0ucz3DQnw003ddVwU/kvM0XbK1kAKkn9M9w0fo7Bz5XvCga6PpsBnfYcO0mSvjvDTTzZ+tyVpK0MOPFUTxpu2htoiQZrop9bWg8fZTsaJoqGp6KfW4p+vrYrB5uWlv2L/m3JcJP0vCxsjx8nSTPkHhA/TpIkfT7DTXMy3HRTews1S9FjatrbblnMHD2mZ2WxdHmesh9b+1L+95EWVu/t72j7Kmm8vnm46f2avn7cct0s/x49dqTOHINv7Cnv2yfb+y5QWo5ZqeV82dpuqfxb9JiRer8WHB2j3p+npx87SZK0n+Emnmx97krSXgaceKInDTdFfztaigZrrlzQ2LLt6OeWov2vLdreUWU46L3oZ9YdPdfea+g9jNR7e9KsWdgeP06SZsg9IH6cJEn6fIab5mS46ab2FmqWosccddfiz7KI9ej17NVjIWz2tbfuc9nX9bYkzd03DjeVa130s3uVa+rZa/lS9pq+7ug1Z7ryuh8933tXPPf7sYn+/WxH99bo/Ws5R3tUju/R/u5VHl+7b2fP6aja8/zM9j91fN4785zrou1LkqSxMtzEk63PXUk6yoATT/OU4aaW/1JSKfrZpasGira2uzeQU/4tesxRmSGfo9dbjuHeItCj59rbfu9hpN7bk2bNwvb4cZI0Q+4B8eMkSdLnM9w0J8NNN3W0cDN6zF5H27tqYXDPBahnFnHv7Uf5t9qfre2q4ynpeX3TcNPRz9a0vua2lLmmR/V4HUtXDBgtlW1Hz/le9LgzvR/bK17b+75HRffPzDnaox7fA96r2b+z5/S62nO8Zdulnscoe571fO5o+5IkaawMN/Fk63NXkmoy4MSTfPtw09EQTPSYo1oXSh4NDkWP2etoP5Zatn10vKPK/kTbitp7X1r2t/f2pFmysD1+nCTNkHtA/DhJkvT5DDfNyXDTTR0t3IweE1UWjB5tq3Vh6161i2pbalnEvHcM3l//0bHK1HuxtaRn9i3DTT2v62fvO7XX9K16vpYrh5tK0XO+1/tes95+9DOtHd1jt9672nP0bDXDZC3VnJNnz+n3as/v7HZLPT8762rfx71jlS3aviRJGivDTTzZ+tyVpNoMOPEUTxluOrM4Mfr5pcxAzlK0naW97fVeYBltY93W0FdN2QGnzLE03CSNkYXt8eMkaYbcA+LHSZKkz2e4aU6Gm27qaOFm9JhSWRhaM9C01LKw9aiei063yi5k3tun5Rhcsd/Z/ZT0fX3DcNPRz7R05v5Tc03fq+fruXq4qWbgJnpcS9Fz9byPrbe9buu5jt6vHvt4xXeApZpz8uw5vVR7bme2uXTlMVqqeS977ke0fUmSNFaGm3iy9bkrSZkMOPEETxluOjO80nPwpfW/IFU689h1e69pKbO9rY72+T3DTdLzsrA9fpwkzZB7QPw4SZL0+Qw3zclw0019YgFpy8LWoz6x30uZxcx7+1X+7c7/WoOk7+4bhpui/71Hmev4e0fX9Ogx7/V8TVcPN5Wi532v9Tiui7bd6z52dJ/de56aczR6XE09z4Wtao7h2XO6VPtaWt7Tvf3r3dH72XNfou1LkqSxMtzEk63PXUnKZsCJ0T1luCn6u9DS0VDN0cLGXkNFNcM90eOWah6/FD3+vcy2jqodcMo8p+EmaYwsbI8fJ0kz5B4QP06SJH0+w01zMtx0U1cvIi3bP7MYOCq7QLjsQ1ns/F72dde+hjPHszz2vehn9up9nCU9q6cPNx115hpZfj7ap6P2nqdmm2df83vl3hU9R8/Kc0TPvdR6HN/be44e97Fou+/tPcfR+9W6fz3Pg71q3p9PndMt50r2OJXnWL7XLe29vqi99zS7rb2i7UuSpLEy3MSTrc9dScpmuInRPWG46Wi4pmaopsfwy9F+1AxJ9diPo4WaVwzzHD1nqeZ9WOpxHN77/7P3fyHXdG+C39UIQjBgIHjkgSQHnokowSH8bIKhG+ZE1IgwIeRgZBIi4pBpdFCEOIGBxI4BhxkTcQbGX4vNxDEoypgROkSw/YODqDOCiMyZJ86B9EkPgZy8ZvXdy7eefV+71qqqVbtW1fX5wueg32fXn137vqv2+/a6fs/o/UEWFrbH2wFk4BkQbwcAfJ7hppwZbrrIyIWbLWXRaXQOW0X7jvQcryxq7bkG5TXR9q+2Xs/y+rWFtcWWxb7R9kAOTxxuKvfx1j2y97675xm0tu+e58Ke9/zOqGdoS3Tspdbn0bJ2TY++x7J9tN+q9Zm1Pq+97z3a1zvlHN9dh3L8tffY8zO5dv2PXp+q5zwi0b4iPT8n5VzX3mu1dq492/eK9g8AzMVwk+7c688uwBYGm3SHnjDc1DNUNGJx44h9jBjCWdtH0XM9tmp9BoXhJrgfC9vj7QAy8AyItwMAPs9wU84MN11k5MLNXnsXBxdHF6q+01oQXfSc95brufU69Oz7yLUF7u1Jw01b7+M9+97zbFi77+7ZX+s8Z7iHt56HPYMl7/R8TtF2vVrPydb1PePzaZ1TtfXnqZzL67579rF2Pmvb93x2xdb3Ua2dV7Vn36O+3xV7rx0AcA+Gm3TnXn92AXoZbNJdusNw06iFidG2VWsAZsSAVTHivUTbVWcO8rTOvfx5tF1k9DDS6P1BFha2x9sBZOAZEG8HAHye4aacGW66SM9i0jPsWQTas7D2yOLSnv1H2y31Xs/ehbSvWvs/sugcuLenDDftvY+PuIe/Wrvn7jnP1jnufTaMFp3b0lnPsGLvc6w1xNLzeY3+fHoGa4ojn/vynHve456f6dZ1qfZ+dj3773lv7/TsP9ru1Z5rBwDch+Em3bnXn12AHgabdKcyDTcd2c8M51C0hqzK/qPtRhh5bMNNMAcL2+PtADLwDIi3AwA+z3BTzgw3XWRtoebZti4EbZ3riIWlrYXIrQXIPdfzyHm2FujuXVgM3N9Thpta99k1rXtwtM2atf3tuZe3rsGR9z5S61m491kT7SsSbdvS+ux7ru3ozyfax6tRn3l5/z0/k1t/plvXpDryPlqfXc/7ajn6/a7Yeu0AgHsx3KQ79/qzC9BisEl36w7DTdF/M6q2Dq5E+6jWhnOi11dbB4qifVStfbUWafb+DVJ7RcestlwHw00wBwvb4+0AMvAMiLcDAD7PcFPODDddpLWgtCz2XFMWixat/byzZTFotP1StM0e0b6r1oLunusQbbdFtM+laBvg+Z4w3LR3aKZqDTBs3f/aPX3L86tqXYPy59F2V4jObynaZk3rs1naeh1a17X3sxr5+fR8Hxj9eff8fG/5mW5dj+ro+4j2uRRts0e072r0tQMA7sdwk+7c688uwBqDTbpjdx9u2jJQU+wZgmn9jUXRNmuifVSt93P1Is3omNWWz2L0MNLo/UEWFrbH2wFk4BkQbwcAfJ7hppwZbrpIa/FttM2assB1ywLmomdBaWufPfvo1VrMu7aIt3U9Ryx+bV2LaBvg+Z4w3HR0SKKI9lttfVaMHmY48nz5tNHP3Wgf72y9tq1nb++5jvx8ou2Xrvqse3+mW9eiOvo+Rv+crTn6+fZeOwDgngw36c69/uwCvGOwSXdt9uGm1mDRnr+pKNpPFQ3oRK+rtgz0VEcGca4e4lk7vuEmuB8L2+PtADLwDIi3AwA+z3BTzgw3XaS1IDjapldZJNraf3VkQWkRbXNEdIxq7Vxb5zlikW5rIXC0DfB8TxhuirbbKtpvtfUevHZPL38WbbOmdQ1az8JPGvl5tZ5bkd5r0TrPLZ/TqM+n9X73/OyM0vMz3fPZF73XY83a+RTRNkdEx6ha76fn2gEA92W4SXfu9WcXIGKwSXdu9uGm1qLEPcNNWwZhzhiuWjt+EW1TXT3Es/Z5GG6C+7GwPd4OIAPPgHg7AODzDDflzHDTRT6xqLRnkWxrUWi0TTViYOjV2sLktePNcD1HLDYG7ufuw02j7uUjBxBG7qu42/27NaTTe76tZ2Ok9+ehte8tP1ejPp/WOUXbfErrZ7p1DapRP6vRvqtR94SltZ/p1vFa1y7aBgC4D8NNunOvP7sArww26e7dfbgp2qZlyz7XXrt3aObIe7p6iGft3MufRdtERr+Pq68L3JWF7fF2ABl4BsTbAQCfZ7gpZ4abLvKpBbg9i2XfLZRtbfvpxa9rC1g/cT1b12PUgmPgXgw3fRk5gDByX8Xd7t+t8y2i7ZbW9jHimRltV239jEZ9PtG21Z6fm5FaP9PRP3816ue0db1n+n5XtK5dtA0AcB+Gm3TnXn92AZYMNukJzT7cFP33oqVomx49wzBn/K1NRWu/a0NCVw/xGG6CZ7GwPd4OIAPPgHg7AODzDDflzHDTRVoLWaNt9lpbUFq8W8Ta2q4o72O06DhVdJ7F3u22GLX4GngWw01f1u7D5c+ibd4Zua/ijvfv1jO4dc5r17Bsu3ZNjuy72PoztXYuRet8itb1GvVzvlfrmrX0XINerWtVlPMdLTpOFZ1ntbZt+bNoGwDgPgw36c69/uwCVAab9JTuPNy0ZZjmVc9ixzMXREb7q9be19WLNNeGiLZ8HoabYA4WtsfbAWTgGRBvBwB8nuGmnBluusiRRZ57RMdYirbpWfz6adF5Fp9Y+Dpi8TXwPHcfbhp17xp5Hx59T7/j/bt1zq3rEG1TLLeL/rxa7utV9Prqqs+n9Z0l2uaT1n6mW/Zc0zV3+n5XrF270dcGAPg8w026c68/uwCFwSY9qZmHm478DUc9on1Wa8Myxd6/tamK9lmtDeMYboqN3h9kYWF7vB1ABp4B8XYAwOcZbsqZ4aaLtBa5Rtsc0VrIGi0cPrIQ9yzvFjh/YuHriMXXwPMYbvoy8j48+p5+1/v3nmd3a7vyZz2v27PvYrn/XiM+n9E/M6OtnV+Pke/h6LmcYe0znv2zBQCOMdykO/f6swtgsElPa+bhptaCxKMDRq39r4n2t8XaME4RbVO0Br6OXpOW6JiV4Sa4Hwvb4+0AMvAMiLcDAD7PcFPODDddpLWwNNrmiNbC4Wgx8p0Wv35i4euIxdfA8xhu+jLyPjz6nn7X+3frvN9di+i11fJ1a/t/N6QUvbba89kUIz6f0T8zo62dX689g2OREecy2tpnPPtnCwAcY7hJd+71ZxfIzWCTnljm4aYi2m/LliGed/YutmwNN404t3da57zl2IabYA4WtsfbAWTgGRBvBwB8nuGmnBluukhrYWm0zVHRcSrDTW0jFl8Dz2O46cvI+/Doe/qd79/l+Rydc/V67muvj571a6/fsu8i2n+PEZ/P6J+Z0dbOb4sRP6ujzmWktfc1+2cLABxjuEl37vVnF8jLYJOe2szDTdF/K1qKttlqbSjmnRFDVUcGhaLXL0XbjNC6Voab4H4sbI+3A8jAMyDeDgD4PMNNOTPcdJHWwtJom6Oi41TR4tA7LX79xMLXEYuvgecx3PRl5H149D39zvfv1rm/DhStXbvl66q1/W/Z957PpRrx+Zx1bqOsnd9WR39eR57LKGvvafbPFgA4xnCT7tzrzy6Qk8EmPbm7DjeNGlhp/U1Ir7YM8Kw58jcwtRZqjhi+ikTHWtpybQw3wRwsbI+3A8jAMyDeDgD4PMNNOTPcdJHWwtJom6Oi41TR4tA7LSb9xLmOWHwNPI/hpi8j78Oj7+l3v3+3/sakev5r73PtukWvr+przvpbm4oRn8/az0wRbfNJrfOrel6353dgae0YR/d9hrudLwCwjeEm3bnXn10gH4NNenqzDjcdGf7Zam0w5tXIwaFo/9XaQE7r2pwxzNNzjQw3wf1Y2B5vB5CBZ0C8HQDweYabcma46SJrCzWLaJujouNU0eLQ1kLm19df6RMLX0csvgaex3DTl5H34dH39Lvfv1vnXweL1q7b6z6X1vZfr83oz2RpxOcz+3eWtetX9Vzr6sg1v9P3u+LMnz0A4HqGm3TnXn92gVwMNilDsw43tRYjjhxuah1rKdp+r9bAULRNFb1+aeT1aQ1TVVuOabgJ5mBhe7wdQAaeAfF2AMDnGW7KmeGmi7QWrkbbHNFaOBwtDjXc9KMRi6+B5zHc9GXkfXj0Pf0J9++eZ3L0z4ueaxZtV7WuXx2u2mvE5zP7Z7z2M128nl/r9cXe6264CQCYieEm3bnXn10gD4NNytJdh5tG/g1KRWvQqPj0MaNtqtb1KUacb+9gU2G4Ce7HwvZ4O4AMPAPi7QCAzzPclDPDTRdpLVqNtjmitZA1WiA7+0LhpU8sfL3T9QA+x3DTl5H34dH39Cfcv1vvYU3PEMza94TRn8erEZ9Pax891+BMW69h7+fdc21ejbjen3T2zx8AcC3DTbpzrz+7QA4Gm5SpWYebov9OtBRtc0TPsFC03RGtY7aGhaJtXh0ZcNoy2FS0znfJcBPMwcL2eDuADDwD4u0AgM8z3JQzw00XWVuoWUTbHNE6XrSQtbX49eqFwkufWPh6t8XAwGcYbvoy8j48+p7+lPv32gDSO1uuV7R9y4jvAqM+n2jbpWibT9nzM926LtXWn9/Wfmf6fleMvh8AAHMx3KQ79/qzCzyfwSZly3DTz6LjVFsGd3q1Fly2jtk7fLTn3FvnFtlyHMNNMAcL2+PtADLwDIi3AwA+z3BTzgw3XWRtoWYRbbNXz2LoaLsieu1StM1R5XyLLYt1P7HwtbUYeOviYuAZDDd9GXkfHn1Pf8r9u/U+IlsGVXq+LyzN9nxtnf+WazHa3p/pte2qPZ9DtJ+laJujyvUvtv6+7b12AMA9GG7SnXv92QWezWCTMjbjcFNraOesYZW1BZDR648a8T7XhnpelffX+pucymve7bN1rLJttM/I2r563ver0fuDLCxsj7cDyMAzIN4OAPg8w005M9x0kdZi1WibvaL9L60tDL1iofCe/X9i4euoxdfAsxhu+jLyPjz6nv6k+3frufwq2sc7rev0atR3gFGfT8/5X/VZH/mZXtu22vp7cZfvd8WRawcAzM9wk+7c688u8FwGm5S1GYebWgsRtwzRbDXD8ZaibZZ6//amV2XgZyl6zavWsbZcp7Vjlj+Ltlkzen+QhYXt8XYAGXgGxNsBAJ9nuClnhpsu0lqoGm2zR8+C2LUFpp9eKPzufFvH+MTC19a1uGrBNHAtw01fRt6HR9/Tn3T/br2XpT0DKmvXfmnP5/DOyM+ndf4jz7vquc5r59VzTtF2r7Z83j0/RyN/L969/55jHL12AMDcDDfpzr3+7ALPZLBJmbvjcFPrbx86IhqS+fTxlqJtXu0dcNqiXoPozyrDTXA/FrbH2wFk4BkQbwcAfJ7hppwZbrrI2kLNItpmi55Fq0XPotDWuY5aWNo6ThFtV6xtO+r8Wtd05CJg4D4MN30ZeR8efU9/2v27DLFE7+NVtG1L61pVewan3hn5+fSc/6jvBUXZV8/+jv5M934uW67V2jkVPefVo3WcItquOnrtAIC5GW7SnXv92QWex2CTsjfjcFP034iWzhw2eh0UOnswZm0op+gdGDpzwGl5vaM/rww3wf1Y2B5vB5CBZ0C8HQDweYabcma46SKthZ7RNj3KYuOeRaRVzyLYTywU7jnntWOsbX/03KrWddiyoBh4DsNNX0beh0ff0592/269n+LIsy/a36tou71Gfz69w19HPveybf057bnWI36mR7+v1nUvjvwcFWvvu2odY8S1AwDmZbhJd+71Zxd4FoNN0j2Hm6JtRloOypw5SFW0Fl1uGRgq57o25LPH6/uPXlMZboL7sbA93g4gA8+AeDsA4PMMN+XMcNNFWos9o20iZWHq1oGmasuC0N79b10ovFwcvKZ1rmv72PI+17QWAW9978AzGG76MvI+PPqe/sT799o1Ko68p9YQTfnzaLu9zvh8ov1EynvZuv/Xa9/zMznqZ7r1uRej91dsvUbl9aPOdW0/W94rADAnw026c68/u8BzGGySvpptuKnnbyCKthtpuRAy+vORWosu9wzmtPbZoxw3GuyKXluV476+/p3Rw0ij9wdZWNgebweQgWdAvB0A8HmGm3JmuOkivYtJz7JnMWi0n0jZd2sR7NaBrNb+1va1571GyjlE+6+2LvwFnsFw05eR9+HR9/Qn3r/X3tOI51603yp6/RFnfD6tfb4q30vWBp3Wvrf0XO+RP9Nr+6q27DPaPlL22fosRn+/K9b2t+V9AgBzMtykO/f6sws8g8Em6efuNty0ZYDmiHfDPWeI3me1dzCnnPueIadyvLVrHG1TbflsRg8jjd4fZGFhe7wdQAaeAfF2AMDnGW7KmeGmi2xZ+Dna3oWgWxcKV+V4S9Fr1syy8LX1/nvOE3gew01fRt6HR9/Tn3r/fnedyoBJ9Potyj7O2versz6f1n5H6fmZHPkz3fu+ej+rvdepnPdS9Jo1vZ/r2r7Ln0XbAAD3YbhJd+71Zxe4P4NN0o/NNtw0iy2DOrOrg07vBoDKP3/S+wX6PX1hOwDveQYAALMw3JQzw00X2bMIdISji0A/tVC4mmnha+u9954r8CyGm76MvA+Pvqc/9f4dva+zn3nRa4868/Np7XuEnmv+6Z/pqvfafeI6LW35TEdfOwBgLoabdOdef3aBezPYJH3PcBNAXha2A+TlGQAAzMJwU84MN11kbaHmGcrxtiwkXfOpBbCzLXxtve9R1xe4F8NNX0beh0ff0598/369ViP/ZqXXv73pjL+1qTj782nt/6ien8nRP9PF2j6Xeq/f2dep2vp5nnHtAIB5GG7SnXv92QXuy2CTFGe4CSAvC9sB8vIMAABmYbgpZ4abLtK7IPWocpwzFiOfuQB2z0LVTyx8bb3nrYt1gWcw3PRl5H149D39yffv1/cWvWavM/e99KnP53VYa5Sen8nRP9PV2n6rLftvfRZH7H2fZ107AGAOhpt0515/doF7Mtgkvc9wE0BeFrYD5OUZAADMwnBTzgw3XaRnMepeZd9lAe+oxcBrRi4UrucdHaflEwtfP7X4GrgXw01fRt6HR9/Tn37/rtdrz7VpqdfojEHp6pOfT9nX2s/XHj3Xfe2YRz+3aJ+vth5jlu93xZnXDgC4nuEm3bnXn13gfgw2SesZbgLIy8J2gLw8AwCAWRhuypnhpousLdTcouynLho9c+Fxy5FFsPX8o/32Wrue5c+ibbZ6+uJ4YB/DTV9G3odH39Offv+u7y/6s6PO3Hd1xedT9vnJ7y6jf6aXWtev2nOcq7/fFWdeOwDgeoabdOdef3aBezHYJLUz3ASQl4XtAHl5BgAAszDclDPDTQxVFwuvLYati11HLHgFuNrsw03kcOaQx9Of1/W7S2uIpn5/ifbxdL7fAQBnMdykO1cGI4BtXu/5VynnIqmd4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPv4LBJqk/w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyTl6vWe/2kGm6RtGW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyQpV6/3/E8y2CRtz3ATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJuXq953+KwSZpX4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJytXrPf8TDDZJ+zPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJUq5e7/lnM9gkHctwE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSbl6veefyWCTdDzDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJOXq9Z5/FoNN0pgMNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkpSr13v+GQw2SeMy3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SVKuXu/5oxlsksZmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukqRcvd7zRzLYJI3PcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEm5er3nj2KwSTonw00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyTl6vWeP4LBJum8DDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZKUq9d7/lEGm6RzM9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0lSrl7v+UcYbJLOz3ATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJuXq95+9lsEn6TIabAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJytXrPX8Pg03S5zLcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJUq5e7/lbGWySPpvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJknL1es/fwmCT9PkMNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkpSr13t+L4NN0jUZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJClXr/f8HgabpOsy3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SVKuXu/5LQabpGsz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SVKuXu/5aww2SddnuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukqRcvd7z3zHYJM2R4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPjxhskubJcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEm5er3nvzLYJM2V4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPXzLYJM2X4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZJy9XrPrww2SXNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukqRcvd7zC4NN0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJClXr/d8g03S3BluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskKVfL+73BJmn+DDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZKUq3qvN9gk3SPDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJOWq3OcNNkn3yXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJuTLYJN0rw00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8/Rf/3P/q23e1f/Jf+B/+9Md/85cAPNx/5L/05z0DAJLyDAAAZhF9LzHc9PwMNwHAAYabAAAA9jHcJEmSNG9/5Dd+/G/fAAAAAABX+ju/93f/8L9e6qkZbgKAAww3AQAA7GO4SZIkad4MNwEAAAAAMzHc9PwMNwHAAYabAAAA9jHcJEmSNG+GmwAAAACAmRhuen6GmwDgAMNNAAAA+xhukiRJmrf/5J/+H337rvb3/mP/EgAJ/Hv/M//tb8+Af1/wOgCexzMAAJhF9L3k9//tf+cP/+ulnprhJgA4wHATAADAPoabJEmS5u1P/+V/69t3tb/zf/6//PT7f+tvAvBwf+o3/yeeAQBJeQYAALOIvpcYbnp+aYab/pH/1v/ip3/8L/xvAWCov/+f+O/9u8+ZMiH+pfzf0esAAAD4Ufnvda//Dc9wkyRJ0hwZbgLIy8J2gLw8AwCAWRhuytkjh5v+zG//7rcfZgAAAABgbuW/60mSJOn6DDcB5GVhO0BengEAwCwMN+XMcBMAAAAAMAXDTZIkSXNkuAkgLwvbAfLyDAAAZmG4KWeGmwAAAACAKRhukiRJmiPDTQB5WdgOkJdnAAAwC8NNOTPcBAAAAABMwXCTJEnSHBluAsjLwnaAvDwDAIBZGG7K2SOHm/7a3/jb336Y/8q/8b/86f/7//7fAcBQ//H/8l/4d58z/8L/X/m/o9cBAADwo/Lf617/G17573qSJEm6PsNNAHlZ2A6Ql2cAADALw005SzPc9Nf+N//GTz/93v8JAIb6T/zJf+WH5035v6PXAQAA8KPy3+uW/z5VGG6SJEmaI8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDggDsMN/3Kr/zKW7/5z/9Xwm1elddF21fRNgAAAGsMN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3fYm2AQAAWGO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLjpS7QNAADAGsNNkiRJ82a4CSCvpy5s/53f+uVPf/Y3/tRPv/6LX4T//87yz4vymvLaaB8AT+cZ4BkAALMw3JQzw00AcIDhpi/RNgAAAGsMN0mSJM3bHYabysLD6L9X96iLF+sCRosYAX72pIXt5d5e7vXRs6BH2TbaL8BTeQb8zDMAAK5luClnhpsA4ADDTV+ibQAAANYYbpIkSZq3pw83rakDT9ExATJ4wsL2sqA9usfvVZ4NhmCBDDwDvvMMAIBrGG7KmeEmADjAcNOXaBsAAIA1hpskSZLmLfNw05L/tXYgo7svbC/37uiePoLnAvB0ngHveQYAwGcZbsqZ4SYAOMBw05doGwAAgDWGmyRJkubNcNOP/E1OQCZ3Xdg++m/qeMfiduDJPAPWeQYAwOcYbsqZ4aZJlUXkv/vX/2L4Z7P5o7/2D4f/HCADw01fom0AAADWGG6SJEmaN8NN31nICGRxx4Xtn1rUvlSOGZ0LwJ15BvTxDACA8xluypnhpkmVReS9C86vVr6wR/8cIAPDTV+ibQAAANYYbpIkSZo3w00xA05ABndb2H7FovbK4nbgaTwD+nkGAMC5DDflzHDTpMrfhlS+BEd/NpO62P0uf8sUwGiGm75E2wAAAKwx3CRJkjRvhpveM+AEPN3dFraX+3J0v36nPD+iBenln5U/27I/zwTgaTwDPAMAYBaGm3JmuGlS9Uvw7ENDdQird3E8wNMYbvoSbQMAALDGcJMkSdK8PWG46d3/knr553Xx4tYFjFXZLto3wBPcaWF761mw9O65ENnyfLC4HXgSzwDPAACYheGmnBlumtTyS3D05zNYLnQ33ARkZbjpS7QNAADAGsNNkiRJ8/bk4aZ3tixiLKJ9ADzBXRa2l/t8dH9+dWThee9zYeszB2BWngE/8wwAgGsZbsqZ4aYJvS4gn/Vvb6p/a1MVvQbg6Qw3fYm2AQAAWGO4SZIkad4yDjdVZbuehYxHFkoCzOwuC9t7/saOEffqTx0HYAaeAT/yDACA6xhuypnhpgm9LiAvQ0TR665UBq6W51hErwN4OsNNX6JtAAAA1hhukiRJmrfMw01VWaQY7Xcp2g7g7u6ysD26Ly+NXGze80woz6VoW4A78Qz4zjMAAK5huClnhpsm9Po3IhWz/e1NdzhHgE8w3PQl2gYAAGCN4SZJkqR5M9z0pbWQ0SJG4InusLC99Qwoou2OaD0TRi6kB7iKZ0DMMwAAPs9wU84MN00o+gLcu/j8U+5wjgCfYLjpS7QNAADAGsNNkiRJ82a46WfRviuLGIEnusPC9uievDTqGbBU9hkdaynaDuBOPANingEA8HmGm3JmuGlC0ZffInrtFd4tcDfcBGRkuOlLtA0AAMAaw02SJEnzZrjpZ63jRNsA3NnsC9uvXGDe+ps7zlhQD/BJngHveQYAwGcZbsqZ4abJrC0en2V4KDq3Kno9wJMZbvoSbQMAALDGcJMkSdK8GW76UbT/qpxHtA3AXd19YfuZ9+XWs8czAbg7z4D3PAMA4LMMN+XMcNNkZl88bnH7e7/71//iT3/01/7ht6Jt1ozeH3AOw01fom0AAADWGG6SJEmaN8NNP1r7X2m3iBF4mtkXtn/y/h+Jjll5JgB35xmwLjpm5RkAAGMZbsqZ4abJlKGV6MtvVQZeou0+Zfbzu1J579E1qbZem9H7A85huOlLtA0AAMAaw02SJEnzZrjpR2vDTeXPom0A7mr2he1r9+Qi2mYkzwTgyTwD1nkGAMDnGG7KmeGmyURffJeu/Bt7WsM2Re8i+Scy3AQ5GW76Em0DAACwxnCTJEnSvBlu+tHasSxiBJ7mDn9rx5pom5EsbAeezDNgnWcAAHyO4aacGW6aTPTF99VVQy2tv7WpMNwUX5fCcBM8k+GmL9E2AAAAaww3SZIkzZvhph+tHcsiRuBpZl/YfjUL24En8wxY5xkAAJ9juClnhpsm0lo4Xl01QBSdy6sr/2apqxlugpwMN32JtgEAAFhjuEmSJGneDDf9yHATkImF7euiZ0H1ib81BOBMngHront/5RkAAGMZbsqZ4aaJ9A43FZ8ebOn5W5uqaPsMDDdBToabvkTbAAAArDHcJEmSNG+Gm360diyLGIGnsbB9XfQsqDwTgLvzDFgX3fsrzwAAGMtwU84MN01kywBR72L0UaJzeCfr0I3hJsjJcNOXaBsAAIA1hpskSZLmzXDTj6L9VxYxAk9jYft75dkSPQuqkc8egCt4BrznGQAAn2W4KWeGmyayZbipiPZxhtaC9leGm2KGm+CZDDd9ibYBAABYY7hJkiRp3gw3/cwiRiAbC9vfi54DS54JwN15BrwX3feXPAMAYCzDTTkz3DSR6Evvmk8Nt2wduupdKP80hpsgJ8NNX6JtAAAA1hhukiRJmjfDTT9rHSfa5ohy3kU57q//4hfhMcs/L2b5W6PWzvfKc539Wt7xsyYHC9tj5fc1+j1dirYDuBPPgJhnAAB8nuGmnBlumkRrkOWdaF8jtRazR8owVLSvpzPcBDkZbvoSbQMAALDGcJMkSdK8GW76WbTvauTASev9rBkx/NJasBldzz3nXM511GfzztXXsmX28wML22Pl9y/6vaz8bgJP4BkQ8wwAgM8z3JQzw02T2DNEVJw94LL1b22qon09neEmyMlw05doGwAAgDWGmyRJkubNcNOX1iLGEcdoDRVtUc537zm1zmO53xHnXM51efwRZrmW78x+flBZ2P5dz++v30ngCTwDvvMMAIBrGG7KmeGmSewdIupdlL5XdMweGQdvDDdBToabvkTbAAAArDHcJEmSNG+Gm9qDTUW03RY9x9hjz+BQa9FmvZ49izt77TnPd2a6lpHZzw+WLGz/Uc99z9/YATyFZ8CPPAMA4DqGm3JmuGkSe4ebirOGXNbOqXW+GQdvRg8jjd4fcA7DTV+ibQAAANYYbpIkSZq3zMNNZbueQZS9+y96FkketXXopXVO5c/POO+jwzkzXsul2c8PIha2/+jsZwLATDwDfuQZAADXMdyUM8NNk4i++FatBeW9C9O3io5VlWOunddZ5zQzw02Qk+GmL9E2WbgfAwDAPoabJEmS5i3jcFN5fc/ixWL2YZdqy3m2zuvM8976WVWzXstq9vODdyxs/1nPc8Hf2AE8iWfAzzwDAOBahptyZrhpAq0hlvKaTy8q7zne2mvK3+z0us+RyjUrx393DuX49c+j7c8wehhp9P6Acxhu+hJt86rso9yfo7/9r96373Zvq9fFPRkAALYz3CRJkjRvTx5uKv+8KvvoWbT4Ktpvr63HK+e4VLbfso/y2ug8Xh0dxKnntfX8it5zfLX1OJ+6ltXs5wfvWNj+pfe+GG0LcFeeAV88AwDgeoabcma4aQJrC8brkFBr0KXs43W/R0THqHrP6XWfI5RjRoviW9auz9r1L6Jtitb736Kcw+j9RecMjGe46Uu0TXHkvl22jfYZaZ1fEW13VH1vZ913X9/Dqy3XCAAAZmO4SZIkad6eMNx0lrLQMTqfHr3nXIZUeo7Tu7+effUu4Fwqx4/2tdQ7nNOzr6WZr2Ux+/nBGgvb+++JfueAp/EM8AwAgFkYbsqZ4aYJrC36roNErdcVy30e0buAvTWMM3LB9d7F8a+iczqyYD96/R51EX/0Z3uctcge+M5w05domxH37eVzsCXafmnkc6la7j/68yNa12/LtQEAgBkZbpIkSZo3w02xIwsYz1okWV7fGiAqfx5tu9R7fkXP/pZ69r1ln0+5lledH7RkX9h+1u8wwB14BngGAMAsDDflzHDTBNYWLy8XnbeGX0Yt2l47n9eF1NFrqlHn01pQv9Xre9izYL8YPYw0en/ROQPjGW76snztyPtZ1fNMaZ1jEW231+vzctRzr1ruOzL6eAAA8GmGmyRJkubNcNOPysDI0QWMraGU4sgxWvsv1yvarupdyLl3eKZn/9F2kdmv5eznBy3ZF7b3/A6X10TbAtydZ4BnAADMwnBTzgw3TSD6Ely9LjqPXlO9Du3s0VqQ/rqQem0QasSAzdr+j1heqy0L9pda12qLcg6j9xedMzCe4aYv9XUj72WvXp9BkWi7pZ599Ir2H71uj9b1HvHMBwCAqxlukiRJmjfDTT87MoRS9Qz2jDhOtN+qtQiz5xyLM4dyom1ezX4tZz8/6JF5YXvrPlX4HQOezDMgvvdXngEA8DmGm3JmuOlirUXgr69vLXY+umh7bZgoWki9dj5HF16vncsI9fx6F+y/GrmAv5zD6P1F5wyMZ7jpS3nNyPvYO63nXOs8jz6bqnfHOfocrqJ9L406DgAAXMlwkyRJ0rwZbhr7t9+0znXUsVrHibapeoZyjp7niOswYh89WseJtilmPz/okXVhe+v3qoq2BXgKz4B10bYAwDkMN+XMcNPFehaLv4peV/UuUn8n2mcV7XvP+fdo7fedsmh9KXrNUjnO3vcwehhp9P6icwbGM9z0pbwm+udLr/fonvt0pDXYE22zNGIw6N25j7j/tq51OXa0HQAA3I3hJkmSpHnLONxU9leM+Ft1XkXHW4q22Wvtf3F+7X9pfoa/cahc/2ibpWi7pWibvfZcy+i1S9E2e+39rKEl48L2nntgccYzAmAmngHveQYAwGcZbsqZ4aaLrS3sfrd4uWeB+R579tsayNmzgHzLkE+5Rq1jlPfVus7RP6+ifRZbzrOlnOPo/UXnDIxnuOnLu3tp+eetY5T7X2v/r9bu/a199b7nd1r7bz2XWqJ9Lh3dPwAAzMJwkyRJ0rw9YbipDisVa0Mg1VmLFVuLJXsGerZYuy5rAy89izqj7baK9lu1rsXs1/IunzW0ZFvY3nP/K8rrou0BnsQzIOYZAACfZ7gpZ4abLtYauom2aQ3B7F20He2rWttn9PpqzwLsaD+RPftuDTJFov1EWp/L1vMdvT/gHIab3tvzPGrd+6p3z8gq2mbpyD209SzZ+xwuWte59b4BAOBODDdJkiTN2xOGm14XIPYMOC1fP0rrPKNtjoqOU0WvL1oLO0cN5qx9Dq2BnNmv5V0+a2jJtrA9+v15NeoeCDA7z4DvPAMA4BqGm3JmuOli0Rfiam1xdGvxc7TNmiP7i15fbV3g3TqP4ujC7q0DTtE+IqOHkUbvDziH4abYkXtU6/5XrR2jdb5bn09L0f5eRdv1aD2j3PsBAHgSw02SJEnz9sThpiJ63dIZf9tNa6gq2uao6DjVu//V+TsMN81+Le/yWUNLpoXtrd/bonVvAngSz4AfeQYAwHUMN+XMcNOFWou31xYwH9k2sraYujVMdGTbpdZ7Krbsb83aOb+Kto+M/kxG7w84h+Gm70bcn1r3wCratopev7TnPHufH3v23brGo56BAAAwC8NNkiRJ8/bU4abWAE8x+n+ZPTrGUlkwOVp0nOrd+7vDcFO0zdLyGowSHad6vSbRa5ai/R8VHaca/bNMHlkWtrd+h4rymmhbgKfyDPiZZwAAXMtwU84MN12otYg52mYp2qYaOVQUbbN09H1UPQvno+326l2gHm0baV3HrQvdR+8POIfhph+NvDe17oPF2vFa59z73pei/bwTbb+m9Vzac74AADAzw02SJEnz9tThpqJnIePIv/Em2v+V9g43jboma9e/tYA02uZKW4ebPs1wE3tlWNjeuudVI58HAHfgGfAzzwAAuJbhppwZbrpQaxFztM3SqOGXtfPoGZIadR7Rtku9+9kiOs6raLvIqOtQjd4fcA7DTT/reWZsdWRAqXUfLaLt3um5Bktb7tOtcz3j2gIAwNUMN0mSJM3bk4ebiuj1S6P+V9p7F05+0rv31jrXUYs79w43zX4t7/RZQ8vTF7b3/r6Ouu8B3IlnwBfPAAC4nuGmnBluutDRoaIi2rbqXbAebVv17GPEEM5Vi7rXPoMq2i4y4josjd4fcA7DTT+LthshOtZStE3VOu/e91/0PDOWRu57y74AAOAuDDdJkiTN29OHm3oWNY4YDOldPPlJ795X61xHLfAsx4/2X6xd89mv5Z0+a2h5+sL26Pfllb/5DMjKM8AzAABmYbgpZ4abLhR9Oa56FzG3Fm23BmDWFlNvGSiKtq963svR93FEdLylaJvI6GGk0fsDzmG46cuWZ8ZWR54RrXtpEW33qnUO7/Teq6NtqzOvLQAAXMlwkyRJ0rw9fbipWBuyqY4O9Nxp4KV1rkevRbV23deGcWa/lnf6rKHlyQvb1+5Bld8dIDPPAM8AAJiF4aacGW66UPQFuepdbF5E21et/UTbVJ86h6L1N1ZE24wy6tijh5FG7w84h+GmL1ueGVu17oetY7fOved+uvasWDu/nuvSeg6deW0BAOBKhpskSZLmLcNwU9GzwDHartedBl5a59pzPXusXfO1xaSzX8s7fdbQ8tSF7Wv3n8rvDZCdZ0C8PQDweYabcma46SIjFlpXrX1F2xR7t4sc3Ve0TXX231gx6jq0Ft9v+UyL0fsDzmG46Uu0zUjRMavWe2jdT4tou6Vom6I+o6I/q1739Srapjr7GQgAAFcy3CRJkjRvWYabegZSjixybO2/5xw/5VPnurawdO1az34tZz8/2OKJC9tbv6OV31UgO8+AeB8AwOcZbsqZ4aaLjFwkvncIZu1viuhd7F4dfT/RNtXWc9lq1Gcxehhp9P6Acxhu+swAztozq+f4rXv92j2153m5tv+1fbfOq+4fAACeyHCTJEnSvGUZbipa+ynKa6Jte0T7q47sd7TWos9Riz33DjcV0TbVDNcyOq9qps8aWp62sN2idoB+ngEAwCwMN+XMcNNFji7SftVaHH309S1HBnGObDtC6/jRNpHR7+Pq6wL0Mdz0meGmo8+t1j117T1Ery9et4leU+zZd/GJ6woAAFcy3CRJkjRvmYabirWBm2rvgsdoX5Xhph8ZboI5PGlhe+veVo26xwHcnWcAADALw005M9x0keiLcrVnMfPWQZhyjOh1xRnHX1s8v/XczxAdt4peHxn9Pma4LkCb4abP/O1CR4ebitY+ovvqlve99tqt+y5e9w8AAE9juEmSJGnesg03FdE+XkXbtRwZ5vmk1uLPUYs+j1yP2a/l7OcHvZ60sH3t97Ly+wnwM88AAGAWhptyZrjpItGX5WrvYuZoX9XrPqPXVHuHZqJ9VWvvaYYhnui4VfT6yOj3McN1AdoMN31mCGft+EW0zavWfTV6H2vDwK+vXdv/1n3vGTQGAIC7MdwkSZI0bxmHm1rDPcWexY+tRZXRNle4+3BTEW3zSXf5rKHlKQvbW7+TReu+A5CNZwAAMAvDTTkz3HSB1gLtvYvEe4dhzlpMvbbfItqm6D3vM0XHraLXR0a/jxmuC9BmuOk+w01Faz/Le+ue97z2LFy+rnUe7/YPAABPYrhJkiRp3jIONxU9iyDLcaNt32md59b99SrvZcu+7zDcNPu1nP38oNcTFra3fh+raFuAzDwDAIBZGG7KmeGmC7QWNEfb9Ir2V9WF0tGfVUcWUx95X9Hrq7MXeLeGiKJtIqOHkUbvDziH4abP/C1DowZzW/fW5fXoHVRaWtt/774/cT0BAGAGhpskSZLmLetwUxHt69XWfUf7WIq2OWJ5bcrgS8/53mG4qYi2W4q2OWLrtVyeSyTa5og9nzW03H1he+t+Vvl9AfjOMwAAmIXhppwZbrrA2oLmItqm19ri8+LMxdStY68N40Svr5aLwc/QWugebRNp7Wft/UdG7w84h+GmL9E2I418fvW+l+jPitbxom2q8uet45/93AMAgFkYbpIkSZq3zMNNPQsie4ZwltYGeoqt+1vz7vxbx2i971ELQNeuRc91mP1azn5+0OPOC9tb97Jq1D0N4Gk8AwCAWRhuypnhpgtEX5qrowNGRbTfHkcXU7eGcdb2P3LR+la9i9xbDDdBToabvkTbjBQds9r6nOh5Xq09l1r337VrVba98pkHAAAzMdwkSZI0b5mHm4rWgEqxZYCkZ6HliEWWPccp123PtiPOr1i7tj3XdPZrOfv5QY87L2yPfhde+d0AeM8zAACYheGmnBluukD0xbkasai5tQD9nWhfW0X7rdYW0K8t9C6ibUaJjrcUbRMZPYw0en/AOQw3fTnzntS6H/a+h6W9z8re53S0bY897wUAAO7KcJMkSdK8ZR9uKnoGnLYcY/T+XvUMuxTvjtHa/si5LR0dbipmv5aznx+03HVhe8/vXu99BiArzwAAYBaGm3JmuOnDWoupRyxqbi0Cj4z6myKifS9F2xSfuC6RnmsVbRdp7Wvrwv/R+wPOYbjpy1n36eKMAdie+39k1PWKjHoWAwDAXRhukiRJmjfDTf0DJNG2kd797Vl02boW1do1aZ3f0etZrS087X3vd7+W1VXnBy13XNi+dm9ZirYF4GeeAQDALAw35cxw04e1FjuPGlhpLQR/Fe1jjyML0KPXV2ct+O5ZfB5tFxk9jDR6f8A5DDf97Kz7UnSspWibHlsHkLY8i1r38EjvZwEAAE9huEmSJGneDDd96Rkk2TKg0juYUpTXRvuoyvvbsr/WebYGckYNy6wtPn3KtSxmPz9Yc7eF7a371yf5/QPuzjNgP88AABjLcFPODDd92JHhny22LKoeOTjUWii+tvC9dW1GL5rvvUbRtpHW/rae/+j9Aecw3PSzMwZRW8+GI8fsfQ5UW4ePeq5Zdca1AwCA2RlukiRJmjfDTT8rixSj/S+1hlOWevb3qmyzFL1mTdkmOpel1sLQT1zPnvNc2nstlqLXrCnbROcS2bv/peg1a8o20bnAFnda2D7TovbC7yBwd54B+3kGAMBYhptyZrjpw6IvtkvRNntF+49sXay9prVQfO1YPYvAo+32ai2Yr6JtI6OHkUbvDziH4aYfjbw3te6DRbTdFr3vq4i2X9Nz/lXv5wAAAE9iuEmSJGneDDf9KNr/qy3H2zO0slfvIsvW4tBR13Ptve9ZEDrjtVya/fwgcpeF7bMtai/8HgJ35xmwn2cAAIxluClnhps+LPpiW43+Wxt6FlV/+pitxdvRNkujzrd3sKmIto+03nv582i7d0bvDziH4abvRtyfWvfAYsQzoec4xd5jRfuKRNsCAMDTGW6SJEmaN8NNP+pZPLl1MeMnhl62nFPrPY66nmvve++C0Nmu5avZzw9e3WVh+yd+t7byuwjcnWfAfp4BADCW4aacGW76oNbC8DP+1oboOEtXHDPapupZPH90MfuWwaYi2kdk9DDS6P0B5zDcFDtyjyrb9tyrR90He44VbdejdS8vzngWAwDAHRhukiRJmjfDTd/1LKDcuqDxzEWZW9//nYebipmuZWT284OlOyxsP/N36ogj9zGAGXgG7OcZAABjGW7KmeGmD2otDD9jcXPrmNE2R0XHWYq2WepZZF5es3VRe+9i+VfRviKtBex7zjfaT7V1f8A5DDe9t+c+1Xuccj+Ptt+jdb89eqxon0vRNgAAkIHhJkmSpHkz3BSLjvNq63HL60cu0CzXZc97L9tE+6tGXc+193p0Qegs1/Kd2c8PqtkXtpef++h3YgZH72MAV/MM2M8zAADGMtyUM8NNH9QarDlrWCU6VnHGMFVx9H22FpkvlWO13kfZ39pi+db5RvuMtM576+c7en/AOQw3tZVtW/es8prW/Xgp2scRa8c+er9du3a91x8AAJ7IcJMkSdK8GW6K9S6m3HPsss2RwZejgy6t93Zk30tr73HUgtCrr2XL7OcHMy9sLz/70e/FLEbdxwCu4hmwn2cAAIxluClnhps+KPpSuxRtM8K7RdXRa0dYW8Rd9Czk3rLAvSrbLEWveVVe1zrf6Pwio4eRRu8POIfhpi+te1a151796oz737vzL+cYvX6raN9F9FoAAMjCcJMkSdK83WG46cnK8EqxNgBTX2PIZd3s13L28yOn2f/WDgDO4xkAAMzCcFPODDd9UPQfIqtRi6cj0YLtTx9vqXch/d5F773qNTDcBBxhuOlLeU3rvjXCmfe+6LnTe31aous3at8AAHBXhpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDd9SGtR+JnDRsXrgu0zF4f3LG6PtoucNeC0vN49C/Z7tN731ms+en/AOQw3famv63kG7HX2fS869+h1e5y5bwAAuCvDTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmz6ktSi8d3H5XstF1WcPUhXL9xaJtnmnde22en3/vQv2W1oL+rcuyh+9P+Achpu+LF/bun/t8al73nKodvSz+cx9AwDAHRlukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPc9CHLBc2RTyxyvuJY7+wZ9Gldwx7Rey//LHpt9fr6d1qL+fe852g/1db9Aecw3PTl9fWj7ttlH6/7PtPy3hv9+RFn7hsAAO7IcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4aYPaS3wjrYZrS40j/5stNYi+L2DOWW/exbLl+3eHXPrgv13lovWI1vf8+j9Aecw3PQl2qYo96o99+2yzVX3uXLss56X5b31XnMAAHg6w02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpuSedKC6vJe6gL010XxdfG4ASDgbHcYbppBuR/X+3Z0zy7/vPz5DM+pM58dM7w/AACYheEmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ8/Zf+Bf/Z9++q/0jf/Iv/vSP/rN/CYCH+w/9k3/OMwAgKc8AAGAW0fcSw03Pz3ATABxguAkAAGAfw02SJEnz9kd+45ffvqsBAAAAAFzl7/ze3/3D/3qpp2a4CQAOMNwEAACwj+EmSZKkeTPcBAAAAADMxHDT8zPcBAAHGG4CAADYx3CTJEnSvBluAgAAAABmYrjp+RluAoADDDcBAADsY7hJkiRp3v7oP/evffuu9g/8U3/hp3/wnwbg6f6+P/Yvf38G/Ik/H74WgGfxDAAAZhF9L/n9f/vf+cP/eqmnZrgJAA4w3AQAALCP4SZJkqR5+9N/+d/69l3t//r/+b//9P/8vf8HAA/3J/77/1PPAICkPAMAgFlE30sMNz2/NMNNv/5f/x/89Md/85cAMNR/4B//cTq8/N/R6wAAAPhR+e91y3+fKgw3SZIkzZHhJoC8LGwHyMszAACYheGmnD1yuOnP/PbvfvthBgAAAADmVv67niRJkq7PcBNAXha2A+TlGQAAzMJwU84MNwEAAAAAUzDcJEmSNEeGmwDysrAdIC/PAABgFoabcma4CQAAAACYguEmSZKkOTLcBJCXhe0AeXkGAACzMNyUs0cON/2Lf/X/+O2H+e/5z/7mT3/vP/YvAcBQ/57/9I/Pm/J/R68DAADgR+W/1y3/faoo/11PkiRJ12e4CSAvC9sB8vIMAABmYbgpZ48cbvprf+Nvf/th/tf/6r/50+//rb8JAEP9Q//Mv/rD86b839HrAAAA+FH573XLf58qyn/XkyRJ0vUZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9zEHf3X/vn/6k+/8iu/8la0DfCdhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+Em7shwE4xhYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZriJOzLcBGNY2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW7ijgw3wRgWtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpu4I8NNMIaF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SbuyHATjGFhO0BengEAwCwMN+XMcBMAHDD7cFP0/7yr/uxv/KlwG2gpPzvRz1QVbUMf1xYAyMRwkyRJ0rzNPtz023/9f/wHoj8jL8NNMIaF7QB5eQYAALMw3JQzw00AcIDhJjIygHMe1xYAyMRwkyRJ0rzdYbip/PcyA04sGW6CMSxsB8jLMwAAmIXhppwZbgKAAww3kZEBnPO4tgBAJoabJEmS5u0uw02FAScqw00wxlMXtpfnRblP/Oqv/Wp4jyj/vCiv8WwBssr8DCh/XkTbAwCfZ7gpZ4abAOAAw01kZADnPK4tAJCJ4SZJkqR5u9NwU3GnReiv5/7Kgsr9yrWLrmkVbQN896SF7eWe+24he4+ybbRfgKd62jOg9f3wHfd/ALie4aacGW4CgAMMN5GRAZzzuLYAQCaGmyRJkubtbsNNRfS6GRluOo/hJhjjCQvbW/farcoi97LP6FgAT/KU4aa9Q02vfDcHgOsYbsqZ4SYAOMBwExkZwDmPawsAZGK4SZIkad7uONx0l/91dcNN5zHcBGPcfWH7kb+pqcXf5AE83d2fAeW79ujngHs/AFzDcFPODDcBwAGGm8jIAM55XFsAIBPDTZIkSfN2x+Gm4g4LDw03ncdwE4xx14XtrfvrKBa5A0925+Gms58DZf/RcQGAcxhuypnhJgA4wHATGRnAOY9rCwBkYrhJkiRp3u463FTMvujccNN5DDfBGHdc2P6pwaYli9yBJzLgus69HwA+x3BTzgw3AcABhpvIyADOeVxbACATw02SJEnzdufhpmLmAafWuRtu2s9wE4xxt4Xtn1rQHrHIHXiaLAOu5d8XlqLXvOPeDwCfYbgpZ4abLhR9+e3167/4xR8oC2CL3/mtX/6B6DgAnMdwExkZwDmPawsAZGK4SZIkad7uPtxUzDrg1Dp3w037GW6CMe62sH3rovRyr4gWppd/Vv5sy/5mfdYA7HXH4abe+/a7+3/V+i5ZufcDwGcYbsqZ4aYLRV9+R6jDTtExARjLcBMZGcA5j2sLAGRiuEmSJGnenjDcVMy48NBw03laC1KjbYDv7rSwvXcherG2oP1V2W/vYnmL3IEneeKA69b79Bn7BAC2M9yUM8NNF4q++I5myAngXIabyMgAznlcWwAgE8NNkiRJ8/aU4aZitoWHhpvOY7gJxrjLwvZPDLr2LHAvtgxOAczsTsNNPc+Bvc+Anvu/ez8AnMtwU84MN10o+tJ7hl//xS8MOQGcxHATGRnAOY9rCwBkYrhJkiRp3p403FTMNODUOnfDTfsZboIx7rKwvfU7X4y4/3/qOAAzuNNwU3Q/Xjp6b24NOLn3A8C5DDflzHDThaIvvWcy4AQwnuEmMjKAcx7XFgDIxHCTJEnSvD1tuKmYZfGh4abzGG6CMe6ysD36PV8aed9vLXAv3L+BJ7jLM6D1nXrUM6B1/3fvB4DzGG7KmeGmC0VfeM9mwAlgLMNNZGQA5zyuLQCQieEmSZKkeXvicFMxw+JDw03nMdwEY9xhYXvr972ItjuitcB95DAVwFWeMuBavnNH2231qSEqAOA7w005M9x0oegL7ycYcAIYx3ATGRnAOY9rCwBkYrhJkiRp3p463FSMWui4l+Gm8xhugjHusLA9+h1fOuNe3/PsibYDuJM7PAM+/X3a394EANcw3JQzw00Xir7sVr/+i1+E25TBpKosfm0tgH0n2jcA2xluIiMDOOdxbQGATAw3SZIkzduTh5uKMxa99/r0YsxMDDfBGLMvbL9yyKi1wP3K5wvACE8YcI22OSo6TuVvbwKAcxhuypnhpgtFX3ard8NN79Rhp2hfEQvaAcYw3ERGBnDO49oCAJkYbpIkSZq3pw83FVctQDfcdB7DTTDG3YebzryPtu4z7uHA3XkGxHzPBIDPM9yUM8NNF4q+6FZbh5uWeoecykBUtD0A/Qw3kZEBnPO4tgBAJoabJEmS5i3DcFNxxYCT4abzWHQKY8y+sL31u372vT06ZuUeDtydZ8B70fEq938AGM9wU84MN10o+qJbHRluKsrgUrTfJYvaAY4z3ERGBnDO49oCAJkYbpIkSZq3uw83/eqv/Wr4zyOfHnAy3HSe1mLXaBvgu9kXtrfu8dE2I60dv/xZtA3AXcz+DIjuvdXZ92D3fwD4LMNNOTPcdKHoi251dLip6BlwirYDoJ/hJjIygHMe1xYAyMRwkyRJ0rzdfbipDLm0XrP0yQEnw03nMdwEY9zhb+1YE20zksXtwJPN/AxofY8++zt9ecZEx62ibQCA/Qw35cxw04WiL7nViOGmorVAtgxARdsB0MdwExkZwDmPawsAZGK4SZIkad6eMNzU87qlsxdDVr3nznYWnMIYsw83Xc1wE/BkMz8DWt/1PvF9Pjpu5Xs8AIxluClnhpsuFH3JrUYNNxXR/isL2wGOMdxERgZwzuPaAgCZGG6SJEmat6cMN/W8dukTCyINN53HcBOMYbhpXXR/qdzDgbub+RmwNlxaRNuMZsAVAD7HcFPODDddKPqSW40cbrJIFuA8hpvIyHeL87i2AEAmhpskSZLm7UnDTT2vXzp7wMlw03kMN8EYhpvWRfeXyj0cuLuZnwHRfbf61P3X900A+BzDTTkz3HSh6AtuNXK46Xd+65fhMapoGwD6GG4iIwM453FtAYBMDDdJkiTN29OGm3q2WXrddiTDTeex2BTGMNz0XuseXv482g7gLmZ9Bsxy//V9EwA+x3BTzgw3XSj6glt9crip/Hm0HQBthpvIyADOeVxbACATw02SJEnz9sThpp7tql/9tV8Ntx9h77nTZrEpjGG46b3o3rL0qcX1AGcx3NQWHb/yXR4AxjHclDPDTReKvuBWI4ebiugYleEmgP0MN5GRAZzzuLYAQCaGmyRJkubtqcNNRWvb6qwBpyPnvkc5XlH2W95TdMzyz4srFmPWcyvenVv982j7pXf7qKJtgO8MN8V6nh/RdgB3MuszYKbvedHxq57vrABAH8NNOTPcdKHoC25luAngHgw3kZEBnPO4tgBAJoabJEmS5u3Jw01Fa3FkdcaA09Fz79X7HiOfGHTqGRKIrJ1X6z1H2wDfGW6KlXtjdG+pzr5vAnzCrM+AtXvwGd/Z18x0LgDwZIabcma46ULRF9zKcBPAPRhuIiMDOOdxbQGATAw3SZIkzdvTh5uK1iL1avQCxbOHm/YODUXKey/7i46zV9lf77VfE52X4SYYw3DTdz331tH3S4ArzPoMiO671aeHS9e+y47+dwcAyMxwU84MN10o+oJbfXK4KXo9AH0MN5GRAZzzuLYAQCaGmyRJkuYtw3BT0TtkM3KR4qhzj4wYGoqMev+t4aOtXs/LcBOMYbjpRz2DTZ9eWA9wFsNNbb5zAsBnGG7KmeGmC0VfbquRw00WyQKcx3ATGflucR7XFgDIxHCTJEnSvGUZbio+PeB0xnBTz8L7o46+/97rvNXyvCw0hTEMN/2o5/5V7sPRtgB3Y7ipzXdOAPgMw005M9x0oejLbTVyuKnsKzpGMfpviALIxnATn1I+r9/5rV+Gf/ZpBnDO49oCAJkYbpIkSZq3TMNNRe/gzdEBn2L0uX9isKna+/57r+9e9bwsNIUxDDf9rOf+9elF9QBnmvEZ0Pq+++kBU985AeAzDDflzHDThaIvt9XIoaNo/9Xohe1l0XVR9vtuqKr882L0sY+o5xudcz3XKxaUL69ldG7OD6739OGm5e/56/b1d79nP2cr51DPMzrXer7lNXe9H81yrYtyHtE1rqJtjiif2drPYlE/+yuuUT23d9elnlfPub3bRxVtAwBwV4abJEmS5i3bcFPRO4Czd8CnGn3uWweHyv6XyvZb9rH1/ZdjRPtpqefVe371/UR/VkXnB3xnuOlL7/BotC3AXRluapvtfADgqQw35cxw04WiL7dVWQQbbbPVpxbIto6zZtRC5LKfaP9FdD3LQuS1bd4Zca5r9p5XVc6v7CPa9wiznx982lOHm8qfRdusKfeGs++RS1fdj6J9LZ1xDcp51v1Hf35U6zqWP1++vvXzsXztEXt+DqtP/DwuP5ct1s7rU9cWAGAGhpskSZLmLeNwU9EzRFOU10Xb9xh57r2DQ+V8exZZ9u6vd8Fm670u9ZxjOb+1z6j1+UX7BL4z3NR//+q9HwLcheGmttnOBwCeynBTzgw3XSj6clu9LiLeo7Xg9hPH2KKcz55F5lXZPtpv8fpe117b68i5vjPivKozFnTPfn5whacNN426r59xj6zKvkfej4ot59saPimi7Y5Yvt8z7p/Lc4+8Xp/WNVi+do9RP4dFuXajfx5H/QxG53X2tQUAmInhJkmSpHnLOtxUtAZkqr3HGHXurf1UWxdXlte3rkH582jbV9G2ka3nWPR+TkvRfoDvsg83nXV/BbgDw01ts50PADyV4aacGW66UPTltioLZqNtevUsCj66OHr0wvJq73tfO5/lPkee96jF0j2f114jznH284MrPWm4afR9fe/9fM3oc1zacr7R9kuj722v+49es1frmkbX5cwBnLM+4y2f75rWe9/q9bwMNwEAmRhukiRJmrfMw01F7+DMnoWLo8695xyPLKxs7b91nuXPo+2Weoek3tk64BTtA/gu+3BTz73l6P0LYFaGm9pmOx8AeCrDTTkz3HSh6MttdWQBbs+i2yP7P3PQpdpzfmWbaF9F3d/aa/Y6uoD9jHN6deQcZz8/uNpThpvO+l2v99+jPvHsqXruST3P2mi7PaJjjbxvvu77VXSsMwZwPvEZH/15/MTvyRnXFgBgVoabJEmS5i37cFPROzizdfHiiHNv7aMYsagy2m/VWtgfbbM0ajCg93Mqou2B7zIPN/XcU0bdvwBmZLipbbbzAYCnMtyUM8NNF4q+3FZ7Ft/2LLSu9i6K/sTC42rrNVhbcFz+bMv12WLPZ1WtnfNoez7z2c8PZvCE4aazf9eP3CeLTz57qp57UrTd0qj7WrTvo9e0aj0b3x1n9ADOJz/jvdfuU78no68tAMDMDDdJkiTNm+GmL9G+I1sWMI4499bfijTq/beOE21TtLYrou326h1wirYFvss63NRz7yqibQGeYtZnQHQ/rkZ99+1luAkAPsNwU84MN10o+nJbrS28LQuAi7L4tbxu62Lbuph9jz3HWtp6vuW10XlEtp7bUj2vKnrNmj0L2Lcu5C7nFV3P6LXvbDnP2c8PZnH34aYi+rOl8rv8KnrdmrJNdH4tW+9FI7XuSa1rt/c9L60dY8Q9M9rv0rtjtN57tM2arT9T9We32vpzufWzab3fd+p59Z5ffT/Rn1XR+QEA3JXhJkmSpHkz3PSldZyl3kWMI8492m4p2mavtcGhd397SfTapTMWfEbHeRVtB3yXcbip935/xv0LYCaGm9paw7DRNgDAdoabcma46ULRl9uzbV3Mu9S7sLcco2fBde/+ehdv9ywaXuo5z/Ln0baRaPs10T4i5TpF2y+V8+x5/1s+/2j7yFXnB7O483DT2u9l+d1u3SPLa3p+t6utv+Nb7sFF2f+78y7/rPxZtN2a1jWItllqbd/S+oyibXq1rsfa59XaNtrmnd7PpZxPz/Xs3V/vZ1NeF20f6TnHcn5rn+vanxXRPgEA7spwkyRJ0rwZbvpZ74L3omfR+9Fz/+R7L9YWb0bDTa3zezcQdVTP394UbQd8l224qfc+33OPB7g7w01ta9+Pi2gbAGA7w005M9x0oejL7ZnWFim39C7s7V0oXJXXtxbx9p53az9LW8+zZ99b9tmzv973vdSzoLvnPGc/P5jJnYebIuV3e8/vYc99oxh9ryy2nnN5be++i2gfVeu+Vv482q5HOc9on0vRdr1a12Dtmrbed7RNpOc9Fls+36LnMy5/Hm37Kto2svUciy0/h1W0HwCAuzLcJEmSNG+Gm37Uu/C9aC1+P3ruVyymjI5Tvb62dX5nDgdEx1uKtgG+yzbcFN0vXo1+rgDMatZnwJ6/TfQsV3wfB4CMDDflzHDThaIvt2c5sri66Fl8u2dRb9Xaf8/59y4Q3nueI86xKMePtl8qx4q27dGz/2i7avbzg9k8abjpyO920XMf7j1Gz76Kvff0oud+VLTu79E2S3vPseca7H2+l+2i/VWtz6m1fbRNpOc9HvmMW/tvXb/W+yxa16ql5xosRfsAALgrw02SJEnzZrjpu1EDTkfPvfU3FEXbHBUdp3p9r1ecX3XlseFJMg03te4bxacXzQNcyXBT20znAgBPZrgpZ4abLhR9wR3t6ILbomfx95GFx1W036rnffQsDj5yPVrXoXeBees8R3xmrcXYa5/X7OcHs3nKcNOI3+2idQ8pWvfLnudOMeJeMeJYrXta7/PhVbSvSLRtS+tzal3b1nuOtnnVc+1HfMbRfqvWz320zdInf2+qaHsAgLsy3CRJkjRvhptiIwacjp57tM1SWVA5WnSc6vV8o9dUZV/L145WziU6bhVtA3yXZbipdX8rzr5vAcxm1mfATN/zouNXZ/17CABkZLgpZ4abLhR9wR2lLJIdsSC4OGvR9qujC6V7FgZH220R7XMp2uZVtN1StM0e0b6rtc8sev1StM0e0b6rUT9T8AlPGG4aNaBRte7HreP13M9HPeOKniGb1jlH2yxF26xpPROXtl6L1vvt+Xk4+swuWvsY9SzYe649n0G03V49P/dFtC0AwF0ZbpIkSZo3w03vHR1wOnu46dNezzd6TXX2Ys+y/+i4VbQN8F2G4abee3l0Hwd4MsNN61rPD88NABjHcFPODDddKPqCu1dZEFsW4Y5aCLwUHW8p2mavtYW9rcXWrUXBre177F0gXbW2H/n5tRavR4vhZz8/mNEThpvO+H2LjrMUbVNFr18643xb96Ri7bij75/RPt7Z+nxrPS97zrX1fqNtXkXbLUXb7LX2nt9dv+i1S1f83hTRdgAAd2W4SZIkad4MN63rXRQf/Y0fR86997iftHyPrfMrf758P6O1jh9tA3z39OGm3nvp2fcsgBnN/AyI7tXV2d//q6u/7wJAJoabcma46ULRF9yqLLQtC4er6DVLWxc292ot9u5ZAL3F2nttvce1hcvFiHNtfRbRNkutc4y2OSI6RhUtyp79/GBGdx9uGn0fr1r3y3fHbW131vOuOPIcaT0vi2i7SOsaRHrvma3z7L2+rXOMtllqncfatd5j7Xyj9zzqOm3V+hksou0AAO7KcJMkSdK8GW5q610c/zrgdOTce4/5STMNNxXRcavo9cB3Tx9uiu4Prz61SB5gNncdbor+RwXOUJ4P0fGraBsAYB/DTTkz3HSh6Atu9bpotmfR9OiFwMXRxct7RMepotdXrQXB0TZbtT6H8ufRdlW0TfXpzy86XvS6aobzgxndfbipdd86Ijpe9W445BP38nd6nrXRdtXaPa3ovdY9Ay6veu+ZrX337qf1XqNtlo5uv0d0nOr1taM+yz2i4y1F2wAA3JXhJkmSpHkz3NSnd9hoywCQ4aZjouNW0euB75483FTuWdH9YelTC+QBZjTzM2DtHv6pe3d07MpgLACMZbgpZ4abLhR9ya2iRd+thbbF6MW2Vywyj45Trb2/T5xra+H72vm1tu1dUL7F2s/M68/Y7OcHs7r7cFO0zSh77svR66pP3Bdaz9oj9/ki2m5pbR8jnnPRdtWW69u6TtE2SyPey1bRcarXz/WK86uuPDYAwKcZbpIkSZo3w039ehbKF3XBpeGm7+9rpOi4VfR64LunDjf13K8/tTgeYFYzPwPK9+To3l1F24w007+DAEAGhptyZrjpQtGX3OrdAuPWgtci2m6vaP9L5XxGi45TrQ3YtLaNttmqtXB9bdF7ayF48XotRoiOU93p/GBWdx5uWrunjrB1AKb1+rPPtzhyny9a76G1/dp9sWy7dn5H9l1sub5bP9tX0TZLy+fEKNFxqtf3Hr2mKvtavna0o9cWAOBODDdJkiTNm+GmbbYMOB059xmGh1qi86rO/lxa1yfaBvjuicNNrftDNcN9FOBKsz8Dont3dfZ3zbL/6LiVZwgAjGW4KWeGmy4Ufcmt3i2cXVvUXI1cdBvt/0prC6/XFi6Puiat67+2sLy1WPkKdzo/mNWdh5tawzBHbb1nzjLUER27WnsOFa333HoeRdsUy+2iP6+W+3oVvb7a+pw8+llF21zp9XONXlO1fgaOmuX3AADgEww3SZIkzZvhpu22DDhF/7xqnXu0TXXF+34VnVd19vkZboIxnjbcZLAJoN/sz4C179Llz6JtRomOuRRtAwDsZ7gpZ4abLhR9ya3WFhm3Fr0WIxastxZoX2HtupQ/i7Ypti7afmfrQv2ltfO7yvJ8Zz8/mJXhpnXRcavXIZHWfWj52jNFx656Bltaz+l3131tu+Vx1163Z9/Fcv89WvuLtqnKOUbbXGn5PaF1fmf/3rSOH20DAHBXhpskSZLmzXDTPr0DTmvuPtx05YLT8v6j41bRNsB3TxpuMtgEsM3sz4DW972z7uez/vsHADyZ4aacGW66UPRFt2oN4/QMohxdfDv74uNXa9ekdT17HVnw3POZfdryfGc/P5jVnYebotePFh23eh2o+cR9vMfR82g9K97tI3pttXzd2v7fDSlFr632XFvDTd/f10jRcavo9QAAd2W4SZIkad4MN+13dMCpde5XDg/1aL3/aJtRouMtRdsA3z1puKnnnjzDvRNgFnd4BkT38uqse/pVQ1UAkJnhppwZbrpQ9EW3ai007lkYvGex8tLsi49flT+LtimOXovqyILntfO7yvJ8Zz8/mJXhpnXRcaunDjcVreGf1/vb2uujgaW112/ZdxHtv6W1z2ibqpxftM2Vlp9r6/w+8WyKjltFrwcAuCvDTZIkSfNmuOmYnsX07xwZbiqibT6ptfDzrM+m9TNRRNsB3z1luMlgE8B2d3gGfPr7cOt7pmcJAJzDcFPODDddKPqyW/Usnu5ZHLxnwXI1++LjVyMWo7ccWfC8dn5XWZ7v7OcHszLctC46bvX6jPrEfbzHiPNoPS+2vPfl66q1/X/iuhpu+v6+RoqOW0WvBwC4K8NNkiRJ82a46bieRfWR1rlfNTxU3k/vvqPzqs5a/Nm6LkW0HfDdE4abeu4JRbQtQGZ3eAa07vGjv2+2vtf7W5sA4ByGm3JmuOlC0Zfdqnex8dqC5WrvItwZFvduccbi7VdHrsknzu+I2c8PZnXn4aaz7+Nb75lHBmZGio5dbbkftt5Pff9r12nteNHrq/qa1jm8DkL1OnO46fXn4grReVV7r1mv1vWJtgEAuCvDTZIkSfNmuGmMPQNOPecebbcUbXPEcgFpeU+tBZyfXgDa+nmoom2B7+4+3NR7Txh9LwJ4grs8Az71fbPnmRJtBwAcZ7gpZ4abLhR92a22LJ6Otn8Vbdcj2ld19uLerT4xnHNkQfaRheCfMPv5wazuPNx09ZDG6z1zlvtQdOxqyzVrvf+6r7Xn1+s+l9b2X6/tWc/Go59VtE119s9lj+i8qrPPr/VzE20DAHBXhpskSZLmzXDTOFsHnHrOvbXP8ufRdnu8u9Zrx1gOQ70TbbdX7zWOtgW+u/NwU88i9GLUoneAp7nLM+BT3zej/S55ngDAeQw35cxw04WiL7zVlgXHrUWwxd4FzNG+qhkWHy+dtYB7qXWt62LyyNGF4Geb/fxgVoab3mvdV17vmUfusaO0znnrNeu5t0b/vOh5dkXbVa3reeTz73lfa6JtqiPnNconvlO8c/TaAgDcieEmSZKkeTPcNNaWAaeec+9ZvD9ioWXPcd6db/TapVEDWFuubbQ98N2dh5ui3/1Xsz0jAGZyp2dA63vg0e+bZ+8fAFhnuClnhpsuFH3prbYunG0thC32LBa+cnHvVp841yML72dYtL9m9vODWd15uOns+/jafbl4fX3rPvSJoZet59zSek9ret7v2vP/zOdi63tHtM3Smec2wuifgy2i4y1F2wAA3JXhJkmSpHkz3DRedJ6R3nPvGeo5MuDUM9hUvDtGz/mdveD0VbQP4Lu7Djd94r4D8HR3egb0fF/dc98v++15phz5rg0AtBluypnhpgtFX3qrPQt7Wwtxi60DKlcu7t1q7Vz3XM/IkQGgGRbtr5n9/GBWdx5uKqJtRth7T4leu7R2nx0hOma191nSGgSKbDlWtH3L0Xt66z1F2yzN/v2i9f6OXr93Wr83RbQdAMBdGW6SJEmaN8NN4/Usvix6z713f3sWdJZziPb1qrWgM9rmVTm/rQtDy+t7Fpy+ivYFfHfH4abee0K0LQA/u9szoPf+3/t9s/c79oz/vgEAT2O4KWeGmy4UffGt9iyg7lkQW0TbvnPV4t7y/rfue22h9J7rGWld49ai+2ibpWibo8p1LHoGAqJzWoq2OWrL+cGM7j7cNOr++Kr8XkfHq8qf79nurPMt1p4jxbtzbul9Pi9tOVbrmr0acQ1bx4y2WWptv/dat5T33rvv6Lyqq35vimg7AIC7MtwkSZI0b4abztGzWHLLufcOIRWt/ZZz27K/nqGp3sWhRdnf0XNsLW6N9gl8d7eF7VvuNWfruTcCzOzJA67vvm+e8T0YADjOcFPODDddKPryW+1dNNuzKHbrvqN9LEXbHLF8D+Vce4deymuX57U0ahFya4F661xbn0/vgusttux/9vODGd19uKkYPVzYM8zz7phHtj2i57jRdr1a99dX0T7e6Tn3pRH32tb7ibZ5FW23FG1zxPKce75frH2vKEb/HPZ+jtG2AAB3ZbhJkiRp3gw3nWf0ufcu5lwq2yxFr1lTtonOJbJ3/0vRa16V17UWpUbnB3x3p4XtMw02FeVeFJ0nwF3ccbipiO7JZynPnugcAICxDDflzHDThaIvv9WRYZzWYtxiy4Lc1v6OnOurdwt7e46xdp6jzrG18Lh1XXsWLm/5bFreXZN3x5j9/GBGTxhuGnWPrNbux0VruKa1fTHyPtFz7zt6jXqOUe0ZPuq5ZsWoz3rEcFPrnEeda/Hu+q8do/Uei2i7vXo/w2hbAIC7MtwkSZI0b4abzrV2/nvOvXcAaIQ9C/fPPr96ToabYIy7LGyfbbCpMNwE3N1dh5s+9Uww2AQAn2O4KWeGmy4UfQGujizo7V1A3bswvGd/vfta03OctQXfa4uCRy2Qbp1jz3VoLV4eda6t4xR7trv6/GA2TxhuKj75u926V/Y8D4qee27LJ4/VMyxTRNu29L6PPYNTkRHDTT3n/KnP+N11iV679MnfmyraHgDgrgw3SZIkzZvhpvO9ew97z/0TA05HFu2fdX7LczLcBGPcZWH7J+57Wx25TwLM4K7DTcXZA04GmwDgsww35cxw04WiL8HV0cWyPQt5txxjxGL1NT3nW6wdY+0cj17PqnWePdeg570ePd+ez+vdMWY/P5jNU4abiqO/dz3DO73H6B0E6rnvvtN7jFH3o7Pvr9H+XkXb7TFiuKko7zfafunIZ9xzzYt3x+g5v6M/Hz3HWIr2AQBwV4abJEmS5s1w02dE7+PIuZ+50H/EYs7R5/c6RGC4Cca4w8L2GQebCsNNwN3debipOvs7JwDwGYabcma46ULRl+Hq6ELZomex7Lu/qeBV7+LgPec9agH72vsdcT2L1nVonWPV89kUvfuryut79t26HrOfH8zkScNNxZ7fv97f7WLLfSPaPlKOvWW/W8539P2oddwt7+NV63na+8zvMWq4qbzfaPtXez6HUd8vom1ebf0ZLLb8HC5F+wIAuCvDTZIkSfNmuOlzXt/L0XMv+xu5oLOcz4jBpmrU+UXnZLgJxph9YfvrfXMmFsADd/eE4aai9b2w153+vQIAnsZwU84MN10o+kJcjVpMHe37Ve9i3N5FwkVrAXU55pb99VyPtQXCo65nOe9o/9WWhc3R9pFy7q39lmu59v5f9ZxntF3kqvODWTxtuKkqv7Oj7+Wt/b0q+4/2s6YcI7qH1HPdci8qRt+P1t5TObdomy2i/VbR6/dqfe7RNu+M/Bmqn3O0baTnmq99Zq9G/N60fkajfQIA3JXhJkmSpHkz3PRZy/cz6tyPDhGV84gGiEYp+99zfmvnVf4s2qaKtgG+m3lhe+v+fzXDTcDdPWW4qWp9P3zn7O/CAECb4aacGW66UPTFuBqxwLnoXZAbbRtpLbiNlG2WotesKdtE5/Jqbd+9+2hpXc/y59F2kS2LpZfqdayi16zpPcfZzw9mcefhpjJg0fN7evT3uijbRefXsvdeNMJZ96N317A1FNPj3dDMiH0vrQ3nFNE2a/b8XNWfxyp6zZqyTXQukb37X4pe86q8bvS1BQCYmeEmSZKkeZt9uOmJ6oL9spAy+vMjyj6LtWGi+porFnHWc3t3fledF2T1tIXtAPR76jOgftd9952z/DPfOQFgLoabcoJczFAAAP/0SURBVGa46UKvX5KXyuLWaJs9Wotkiy3H612gO8Ko8xp1PVuL7LcuhP/0ov2nnR/M4O7DTeU1Z9/Xj96DP30vKs68H0Xv5+znVPTaI84YwDn753Bpz/X+1O+J4SYAIBPDTZIkSfNmuOkadVFl9GcAn2K4CSAvzwAAYBaGm3JmuOlC0YLVatQi56pnQe6WhdxnL/Attl6DtXMadT1bC+z3LIZv7XOUPedWzH5+cLUnDDcVZ93XP3X/HekT96PX6738LI56HY4Zue/qrAGcs34Ol478TH7i9+SsawsAMCPDTZIkSfNmuOk6/tfigatZ2A6Ql2cAADALw005M9x0oWjBanVk4W2kd1H4lgXdZy5A3rOwfO18Rl3P1nXcuyC+9/PZY8R7n/384EpPGW4qRt/Xz/j9Hn2OS5+8H73eV6PX7HXmvqszB3DO/Iz3PqeXzv49MdwEAGRiuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcNOFogWr1RkLrFuLZYutxy2LhEcu8i3nuHfh8dp5jLqerwvGXx1dNN3zGfUq77nsLzrOXrOfH1zhScNNxajf8xFDJO+07sVblfvRmef7Tn1ujXpGLdX3dtZ9tvVzEm2zRfk86vUZoZzvyM941PlF53T2tQUAmInhJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTReKFqxWZyx0LnoW4u459tFFviMWHa8df9T1LOcY7b86+h6q1sLmNeW9lu2j/Y4y+/nBJz1tuKna+3v+yd/vcs89ej8add/eoz5Toj876sx9F63rHm2zR3kfa8/3lnKeZ37GZf97zm/tvD51bQEAZmC4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwE8OVRbmtxb71NWcuOH6Ccn3qtYquY1GHhYpoH2ea/fzgE2Yfbjqq/O6W3+N39/T6+331/bzej96dZ30P9XyjfVyhnFP0z0eY6X2OUD+7d59xUV9zxc9jPbd353fVeQEAzMxwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA44OnDTQAAAGcx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTNm+EmgLwsbAfIyzMAAJiF4aacGW4CgAMMNwEAAOxjuEmSJGneDDcB5GVhO0BengEAwCwMN+XMcBMAHGC4CQAAYB/DTZIkSfNmuAkgLwvbAfLyDAAAZmG4KWeGmwDgAMNNAAAA+xhukiRJmjfDTQB5WdgOkJdnAAAwC8NNOTPcBAAHGG4CAADYx3CTJEnSvBluAsjLwnaAvDwDAIBZGG7KmeEmADjAcBMAAMA+hpskSZLmzXATQF4WtgPk5RkAAMzCcFPODDcBwAGGmwAAAPYx3CRJkjRvhpsA8rKwHSAvzwAAYBaGm3JmuAkADjDcBAAAsI/hJkmSpHkz3ASQl4XtAHl5BgAAszDclDPDTQBwgOEmAACAfQw3SZIkzZvhJoC8LGwHyMszAACYheGmnBluAoADDDcBAADsY7hJkiRp3gw3AeRlYTtAXp4BAMAsDDflzHATABxguAkAAGAfw02SJEnzZrgJIC8L2wHy8gwAAGZhuClnhpsA4ADDTQAAAPsYbpIkSZo3w00AeVnYDpCXZwAAMAvDTTkz3AQABxhuAgAA2MdwkyRJ0rwZbgLIy8J2gLw8AwCAWRhuypnhJgA4wHATAADAPoabJEmS5s1wE0BeFrYD5OUZAADMwnBTzgw3AcABhpsAAAD2MdwkSZI0b4abAPKysB0gL88AAGAWhptyZrgJAA4w3AQAALCP4SZJkqR5M9wEkJeF7QB5eQYAALMw3JQzw00AcIDhJgAAgH0MN0mSJM2b4SaAvCxsB8jLMwAAmIXhppwZbgKAAww3AQAA7GO4SZIkad4MNwHkZWE7QF6eAQDALAw35cxwEwAcYLgJAABgH8NNkiRJ82a4CSAvC9sB8vIMAABmYbgpZ4abAOAAw00AAAD7GG6SJEmaN8NNAHlZ2A6Ql2cAADALw005M9wEAAcYbgIAANjHcJMkSdK8GW4CyMvCdoC8PAMAgFkYbsqZ4SYAOMBwEwAAwD6GmyRJkubNcBNAXha2A+TlGQAAzMJwU84MNwHAAYabAAAA9jHcJEmSNG+GmwDysrAdIC/PAABgFoabcma4CQAOMNwEAACwj+EmSZKkeTPcBJCXhe0AeXkGAACzMNyUM8NNAHCA4SYAAIB9DDdJkiTN2x/95/61b9/V/oE/8ed/+gf/6b8AwMP9fX/sX/YMAEjKMwAAmEX0vcRw0/Mz3AQABxhuAgAA2MdwkyRJ0rz9kd/45bfvagAAAAAAV/k7v/d3//C/XuqpGW4CgAMMNwEAAOxjuEmSJGneDDcBAAAAADMx3PT8DDcBwAGGmwAAAPYx3CRJkjRvhpsAAAAAgJkYbnp+hpsA4ADDTQAAAPsYbpIkSZq3P/tX/vc//f1/7M/94Nf+m38FgAT+Y3/yL3sGACTlGQAAzCL6XqLnZ7gJAA4w3AQAALCP4SZJkiRJkiRJkiRJklR65HDT//z/8P/6tjDiP/pP/Ss//aP/7F8CgKH+/f/5/84Pz5vyf0evAwAA4Eflv9ct/32qKP9dT5IkSZIkSZIkSZIk5eqRw01/5rd/99vCCAAAAABgbuW/60mSJEmSJEmSJEmSpFwZbgIAAAAApmC4SZIkSZIkSZIkSZKkfBluAgAAAACmYLhJkiRJkiRJkiRJkqR8PXK46S/9r/9v3xZG/Af/if/uT//hP/7nAWCov+c/95s/PG/K/x29DgAAgB+V/163/Pepovx3PUmSJEmSJEmSJEmSlKtHDjf9tb/xt78tjPjX/+q/+dPv/62/CQBD/UP/zL/6w/Om/N/R6wAAAPhR+e91y3+fKsp/15MkSZIkSZIkSZIkSbky3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQABxhuAgAA2MdwkyRJkiRJkiRJkiRJKhluAoADDDcBAADsY7hJkiRJkiRJkiRJkiSVDDcBwAGGmwAAAPYx3CRJkiRJkiRJkiRJkkqGmwDgAMNNAAAA+xhukiRJkiRJkiRJkiRJJcNNAHCA4SYAAIB9DDdJkiRJkiRJkiRJkqSS4SYAOMBwEwAAwD6GmyRJkiRJkiRJkiRJUslwEwAcYLgJAABgH8NNkiRJkiRJkiRJkiSpZLgJAA4w3AQAALCP4SZJkiRJkiRJkiRJklQy3AQAB9xhuOlXfuVX3vqzv/Gnwm1elddF21fRNgAAAGsMN0mSJEmSJEmSJEmSpJLhJgA4wHDTl2gbAACANYabJEmSJEmSJEmSJElSyXATABxguOlLtA0AAMAaw02SJEmSJEmSJEmSJKlkuAkADjDc9CXaBgAAYI3hJkmSJEmSJEmSJEmSVDLcBAAHGG76Em0DAACwxnCTJEmSJEmSJEmSJEkqGW4CgAMMN32JtgEAAFhjuEmSJEmSJEmSJEmSJJUMNwHAAYabvkTbAAAArDHcJEmSJEmSJEmSJEmSSoabAOAAw01fom0AAADWGG6SJEmSJEmSJEmSJEklw00AcIDhpi/RNgAAAGsMN0mSJEmSJEmSJEmSpJLhpgtFi8N7/fovfvEHymLz4nd+65d/IDoOAOcx3PQl2gYAAGCN4SZJkiRJkiRJkiRJklQy3HShaHH4CHXYKTomAGMZbvoSbQMAALDGcJMkSZIkSZIkSZIkSSoZbrpQtDh8NENOAOcy3PQl2gYAAGCN4SZJkiRJkiRJkiRJklQy3HShaHH4GX79F78w5ARwEsNNX6JtAAAA1hhukiRJkiRJkiRJkiRJJcNNF4oWh5/JgBPAeIabvkTbAAAArDHcJEmSJEmSJEmSJEmSSoabLhQtDj+bASeAsQw3fYm2AQAAWGO4SZIkSZIkSZIkSZIklQw3XShaHP4JBpwAxjHc9CXaBgAAYI3hJkmSJEmSJOmc/lP/jd/+9t/eMivXQ5IkSdLcGW66ULQ4vPr1X/wi3KYMJlVloXlrsfk70b4B2M5w05doGwAAgDWGmyRJkiRJkqRzMtz0I8NNkiRJ0vwZbrpQtDi8ejfc9E4ddor2FeldzA7AOsNNX6JtAAAA1hhukiRJkiRJks7JcNOPDDdJkiRJ82e46ULR4vBq63DTUu+QUxmIirYHoJ/hpi/RNgAAAGsMN0mSJEmSJEnnZLjpR4abJEmSpPkz3HShaHF4dWS4qSiDS9F+l3oXtAPwnuGmL9E2AAAAaww3SZIkSZIkSedkuOlHhpskSZKk+TPcdKFocXh1dLip6BlwirYDoJ/hpi/RNgAAAGsMN0mSJEmSJEnnZLjpR4abJEmSpPkz3HShaHF4NWK4qWgtRi8DUNF2APQx3PQl2gYAAGCN4SZJkiRJkiTpnAw3/chwkyRJkjR/hpsuFC0Or0YNNxXR/qveRe0AxAw3fYm2AQAAWGO4SZIkSZIkSTonw00/MtwkSZIkzZ/hpgtFi8OrkcNNFqQDnMdw05doGwAAgDWGmyRJkiRJkqRzMtz0I8NNkiRJ0vwZbrpQtDi8Gjnc9Du/9cvwGFW0DQB9DDd9ibYBAABYY7hJkiRJkiRJOifDTT8y3CRJkiTNn+GmC0WLw6tPDjeVP4+2A6DNcNOXaBsAAIA1hpskSZIkSZKkczLc9CPDTZIkSdL8GW66ULQ4vBo53FREx6gMNwHsZ7jpS7QNAADAGsNNkiRJkiRJ0jkZbvqR4SZJkiRp/gw3XShaHF4ZbgK4B8NNX6JtAAAA1hhukiRJkiT9/9j7m5B71n7B73pwIMGZDjNz0IgBETIICKEnDs5ITAxKaBwkE0OEgI2GnnkCislpTYIaURNpOpKjcOgomoMRWtLRB996YhDUCIeIOMqoJwmBnjz21fep7Fpr/6qu11p11bo+X/jAefZ/Va2qWuuuuv+b63e2JOmaDDe9MtwkSZIkzZ/hphtFi8M3hpsAnsFw049oGwAAgDOGmyRJkiRJkqRrMtz0ynCTJEmSNH+Gm24ULQ7ffHK4KXo9AGUMN/2ItgEAADhjuEmSJEmSJEm6JsNNrww3SZIkSfNnuOlG0eLwzcjhJgvSAa5juOlHtA0AAMAZw02SJEmSJEnSNRluemW4SZIkSZo/w003ihaHb0YON6V9Re+RjP4vRAGsxnDTj2ibVfzVf/Evh/8cAAA4Z7hJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtHi8M3IoaNo/5vSRe2l0gLvJO33aKgq/fNk9Hv32I43OubtWO9YvL6/ltGxOT64n+GmH9E2787uF0+9V2zXxT0OAADqGW6SJEmSJEmSrslw0yvDTZIkSdL8GW660fvC7r20yDvaptaIxeglcu9zZlvQHu23RrRYfhNdz7QQ/WybIyOO9UzrcW3S8V25yH7244NPM9z0I9om6bnX1twrcseXRNv12s6t9DrWej+Hd+6nAAA8meEmSZIkSZIk6ZoMN70y3CRJkiTNn+GmG0WLlDdpsXS0TY204Dna9+YT71EjHU/PIu2zxfPv53r22lJXLCgfcVybKxbaz358cAfDTT+ibUbcM97v32ei7feuuG/v9x/9eY/c9au5NgAAMCPDTZIkSZIkSdI1GW56ZbhJkiRJmj/DTTeKFipvehcslwwd9Q6XjFi0Hmk997Pj2e9z5HGPWihf8nm1GnGMsx8f3Mlw04/9a6+4Z5TcK3LHmETbtXp/noy+n+33HXH/BADg6Qw3SZIkSZIkSddkuOmV4SZJkiRp/gw33ShaqLxpHfBJShZ39+z/ikXr71qO72xoadvf2Wta9S4uv+KY3vUc4+zHB3cz3PRje92Vz4iSe0W03d7I+020/+h1LXLXe3uuAQDAkxlukiRJkiRJkq7JcNMrw02SJEnS/BluulG0WHnTsmi5ZKhp07q4+8pF6+9qr8HZEE76s5rrU6NngfnZMY/W8pnPfnwwA8NNP9JrPvGMyN0rPjUUdPQ+o+5l0b733DMBAPgGhpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1W3pwtvk4LmpO0sDq9rnYApXQhe6TlvfZqjze9NjqOSO2x7W3HtYlec6ZlkXnaJtrXkXRc0fWMXnuk5jhnPz6YheGmH+k10T/fS/eEd9HrcnL3imibvRH3mqNjL72eZ3LXOr13tB0AADyN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4aYbRQuWr9azIDq32HqT3qNk4Xjp/koXodcuki85zvTn0baRaPsz0T4iJQvl03GWnH/N5x9tH7nr+GAWhpt+HP2Mp3+ee490j8jt/93Z/Tu3r9JzPpLb/9mxlYj2ude7fwAAmIXhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFC5av1DM4khZSR/t8V7vgOr0+N/RSety5/ezVHmfJvmv2WbK/0vPeKxkOKDnO2Y8PZmK46VjpvvfSPSDa17vcPSjaZq/nXpO7R7ac9yZ3nVvuvQAAMCvDTZIkSZIkSdI1GW56ZbhJkiRJmj/DTTeKFi1fpWehdVIy7HL3QvGSY0xaj3PUYvaShfs9i9dL9h9tt5n9+GA2hptirffapOQ+kZy9R+54S887Eu3vXbRdidyzpue6AgDAbAw3SZIkSZIkSddkuOmV4SZJkiRp/gw33ShatDxazxDKpmSR+YjF1tF+NyXnkVsQnlw5lFO6UD53nCM+s9yi/rPPa/bjg9kYbvq1ET/DuXvuJtp2E71+r+U4c/fITcu+c9d4xP0XAABmYrhJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtHC5VHSAuhRAyK5xdalC+Nzcu8TbbNXsuA82q5GtM+9aJt30XZ70TYton1vzj6z6PV70TYton1vRn2n4BMMN70a9exJSgaczt4vd8wt95poP0ei7c/knmPujQAAfBvDTZIkSZIkSdI1GW56ZbhJkiRJmj/DTTeKFi63Sgui06LnKxY+R++3F23T6mxhd/qzaJtNblF4bvsSuYXy0TZ7ue1Hfn65oYBoIGD244MZGW76xYj77Lue+1LuPpNE2x0puQZ7Nfex3LFecW0BAOBuhpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1e3qRFzGkR9SZ6zd5Vi55zi63PFpW3ODvX3DmmP4+224w41txnEW2zlzvGaJse0XtsokX3sx8fzMhw0y+i7UaI3msv2maTO+6aZ0PuHvlu5L5r9gUAAE9huEmSJEmSJEm6JsNNrww3SZIkSfNnuOlG0eLlTVrkvH9tbsgouWLhc25ReLRNr+h9NtHrN58YzMl9DrmBnGibzac/v+j9otdtZjg+mJHhph/vz62Rcu99du8teX5G273LHcOR3HNhE227ufLaAgDAnQw3SZIkSZIkSddkuOmV4SZJkiRp/gw33ShawLyJFjKXLKwuXURd6hMDQ++i99mcnd/sw025bUsHDGqcfWfev2OzHx/MynDTjyvuEZve+1Pu2M/u3ZuzZ8zZ8ZVcl9zz68prCwAAdzLcJEmSJEmSJF2T4aZXhpskSZKk+TPcdKNoAfPmaLAjtwA6ibZrFe1/Lx3PaNH7bM4WeOe2jbaplVtgf7ZAPre4Pnm/FiNE77N50vHBrAw3/Yi2GSl6z03uHHL37iTabi/aJkn3sbM/T9739S7aZrPtHwAAvpHhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFi5g3R4uZSxZoj1wIHe3/TmcL2M8GZUZdk6uHmz7tSccHszLc9JkBnN57fO4ed3b/Pnvv7fqd7b/n2bDtHwAAvpHhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFi5g3Zwu1cwuhk7OF1KVygzx3OLsuvQvfS+SuSevi+Lvsj3f244NZGW76zHBT7tkXbbOXu3+fnUP0+uR9m+g1Scu+k09cVwAAuJPhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFC5k3uQXN6c+j7fZ6B0NyC8HvcHZdzq7JqAXiuWtyds1LPrNP2x/v7McHszLc9Jn/ulDvcFOS20d0z6k577PX1u47ed8/AAB8G8NNkiRJkiRJ0jUZbnpluEmSJEmaP8NNN4oWMm9ywzhpkXS03V7vQE/Je3za2TmdDef0XotN7ppEi9c3Z8d3l/3xzn58MCvDTc8Zbsrdw6PzOLs3vr/2bP+1+x713AIAgJkZbpIkSZIkSZKuyXDTK8NNkiRJ0vwZbrpRtJh5U7KoObdIO+lZcF6y/087uy6fWCSeuybpz6PtkrPju8v+eGc/PpiV4abnDDcluf3s7zst53x2L92/LnccR/sHAIBvYrhJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtFi5k3pME7JQErrgEjaLtrfZrbBk7NrUXo9c3quySeOr8fsxwezMtz0mXvEqHtU7j6+vx5n77nf597Z/kv3/YnrCQAAMzDcJEmSJEmSJF2T4aZXhpskSZKk+TPcdKNoQfOmZmFztP27aLsS0b42s/1XJT6xULxnuOlsMCCJtvmk2Y8PZmW46Ue0zUgj7/Gl5xL9WZJ7v2ibTfrz3PuXfiYAAPB0hpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1o3tQs1M4N3CStwz3RvjazLb4eufD9iOEm4J3hph/RNiNF77mpvcfn7uXpXM+eKWf3+uTsWqVtP/G8AgCAJzDcJEmSJEmSJF2T4aZXhpskSZKk+TPcdKNoUfOmdnFzbtF5UrqAfe9JC7A/caw9w009237C7McHszLc9OPKe0Tu/tTyfCt5bkZKnyfRtiVazgUAAJ7KcJMkSZIkSZJ0TYabXhlukiRJkubPcNONokXNm5ZhnLPhnk3t4vPcPqNt7nJ2rC3XM9IzAHTF4vyRZj8+mJXhph9X3iOueBbl7nlHRl2vyKhnFQAAPIXhJkmSJEmSJOmaDDe9MtwkSZIkzZ/hphtFC5s3LQucSxdqR9seuWsxezr/2n2fLX4ftWA8d43Tn0fbbaJt9qJteqXrmOSOLYmOaS/aplfN8cGMDDf94qqf4+i99qJtSpSc017NsyT3vIiUfhYAAPAtDDdJkiRJkiRJ12S46ZXhJkmSJGn+DDfdKFrYvGkdxilZqF2772gfe9E2PfbnkI61dLF8eu3+uPZar+e73GL13LHmPp8rFrbX7H/244MZGW76xah77d7ZvT3pec/aAaTae1TJNdtcce0AAGB2hpskSZIkSZKkazLc9MpwkyRJkjR/hptuFC1u3vQscs4tBE9KB4aSKxeWvztaaF7yHmfHOeoYe4ebShbS13w2OUfX5Og9Zj8+mJHhplcjf35L7knRdjVqBpCi7c+UHP+mdnAKAAC+geEmSZIkSZIk6ZoMN70y3CRJkiTNn+GmG0WLmzc9wzili6lLF6CX7K90X2dK3uds8fcThpuSs+NMRh1r7n2Slu3uPj6YjeGmX/vUM2HE/ajkfZLW94r2FYm2BQCAb2e4SZIkSZIkSbomw02vDDdJkiRJ82e46UbR4uZN74Lt0YvCSwZRehazly4uP3uPs2PsvZ6b3HGWXIOSc+093pLP6+g9Zj8+mI3hpljJ/fBI2rbkPtHzHnsl7xVtV6Lknlr6GQAAwLcx3CRJkiRJkiRdk+GmV4abJEmSpPkz3HSjaIHzZsRgR8li7dIF1SWLs5OW4y5dMJ9bxH52viOuZ5K7DqUL7Us+m6R0f5v0+pJ9567H7McHMzHcdKz2HpGUvs/I+0Q6zug9Nr3vFe1zL9oGAABWYLhJkiRJkiRJuibDTa8MN0mSJEnzZ7jpRtEC582oRdvRvt+VLj6vWdieWyyf3rNmfyXXI70m2jYZdT1zC+BrFvJH20fSsef2m67l2fm/KznOaLvIXccHszDclJe2HX2fiPbR4+y9e+9JZ9eu9PoDAMA3MtwkSZIkSZIkXZPhpleGmyRJkqT5M9x0o2iR8yYtso62qZUWZEf7fxdtG6lZeL5J2+xFrzmTtomO5d3Zvkv3kZO7njUL4Es/m3fbddxErzlTeoyzHx/MwnDTj9J7Ru89IrniPnF0/OkYo9fXivadRK8FAIBVGG6SJEmSJEmSrslw0yvDTZIkSdL8GW66UbTIeTNqMXWSW5Ce1Lxf62L0FqOOa9T1zC3er11wXzoMMMq3HR/MwHDTj/SaT9wzrrxPRM+R0uuTE12/UfsGAICnMtwkSZIkSZIkXZPhpleGmyRJkqT5M9x0o/dFznujhnE2Z4M/m5oF4yX761V7Dc6OadT1zC3cb1l0/4lhgKR1IGD244O7GW76sb3uynvG1feJ6Nij17W4ct8AAPBUhpskSZIkSZKkazLc9MpwkyRJkjR/hptu9L7IeW/UMM6mdLF5zcLxKwecWhawP3W4KSn9fFqMOPfZjw/uZLjpx/61V9wzWu+vtfbPktH/ZaUr9w0AAE9kuEmSJEmSJEm6JsNNrww3SZIkSfNnuOlG2wLnyBUDH7mF6Unt+6bF5vvF2r3SMbYuYD87jlHXM7dgv3fxfclnVCqd8+jF87MfH9zBcNOP99ePej6Mun+X2t/noz/vceW+AQDgiQw3SZIkSZIkSddkuOmV4SZJkiRp/gw33Whb4By5ajF3yULzlvfuXcSeFs33Dgadvf+o67lfmB7pPYdNzxBROterh4ZmPz74JMNNP6JtktbnQ9pm1D21VnrvJPqzXunc3AMBAOCH4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SaGS4u2k7PF7Ntr7lq4/hTp+mzXKrqOSbrO22uifVxp9uODT3jCcNMMtvvF0bNhpnvFlc8m90IAAPiF4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIk6ZoMN70y3CRJkiTNn+EmAOhguAkAAKCN4SZJkiRJkiTpmgw3vTLcJEmSJM2f4SYA6GC4CQAAoI3hJkmSJEmSJOmaDDe9MtwkSZIkzZ/hJgDoYLgJAACgjeEmSZIkSZIkfVv/xB/+dgrv/95tdWm4KbpOn/bX/u//3z/9pkiSJEl6z3ATAHQw3AQAANDGcJMkSZIkSZK+rTS88v7vvCDxX4+SJEmSzjPcBAAdDDcBAAC0MdwkSZIkSZKkb8yAE+8MNkmSJEn5DDcBQAfDTQAAAG0MN0mSJEmSJOlbM+DExmCTJEmSVJbhJgDoYLgJAACgjeEmSZIkSZIkfXMGnDDYJEmSJJVnuAkAOhhuAgAAaGO4SZIkSZIkSd+eAad1GWySJEmS6jLcBAAdDDcBAAC0MdwkSZIkSZKkFTLgtB6DTZIkSVJ9hpsAoIPhJgAAgDaGmyRJkiRJkrRKBpzWYbBJkiRJausrh5v+hf/tv/GrvzT8nX/un/3dn/mH/nsAMNTf8ff9wcvzJv3v6HUAAAC8Sv++bv/3qST9ez1JkiRJkiTpGzPg9P0MNkmSJEntfeVw0+//4W/DvzwAAAAAAPNK/15PkiRJkiRJ+tYMOH0vg02SJElSX4abAAAAAIApGG6SJEmSJEnSt2fA6fsYbJIkSZL6M9wEAAAAAEzBcJMkSZIkSZJWyIDT9zDYJEmSJI3pK4eb/hf/p//3r/4S8R/9L/2l3/0n//z/HACG+g/9A//My/Mm/e/odQAAALxK/75u//epJP17PUmSJEmSJGmFDDg9n8EmSZIkaVxfOdz0x3/9T371F4nf/1f+5Hd//G/9rT8DgIH+zD/6l1+eN+l/R68DAADgVfr3dfu/TyXp3+tJkiRJkiRJq2TA6bkMNkmSJEljM9wEAB0MNwEAALQx3CRJkiRJkiQZcHoig02SJEnS+Aw3AUAHw00AAABtDDdJkiRJkiRJPxlweg6DTZIkSdI1GW4CgA6GmwAAANoYbpIkSZIkSZJ+yYDT/Aw2SZIkSddluAkAOhhuAgAAaGO4SZIkSZIkSXrNgNO8DDZJkiRJ12a4CQA6GG4CAABoY7hJkiRJkiRJ+nUGnOZjsEmSJEm6PsNNANDBcBMAAEAbw02SJEmSJElSnAGneRhskiRJkj6T4SYA6GC4CQAAoI3hJkmSJEmSJOk4A073M9gkSZIkfS7DTQDQwXATAABAG8NNkiRJkiRJ0nkGnO5jsEmSJEn6bIabAKCD4SYAAIA2hpskSZIkSZKkfAacPs9gkyRJkvT5DDcBQAfDTQAAAG0MN0mSJEmSJEllGXD6HINNkiRJ0j0ZbgKADoabAAAA2hhukiRJkiRJksoz4HQ9g02SJEnSfRluAoAOhpsAAADaGG6SJEmSJEmS6jLgdB2DTZIkSdK9GW4CgA6GmwAAANoYbpIkSZIkSZLqM+A0nsEmSZIk6f4MNwFAB8NNAAAAbQw3SZIkSZIkSW0ZcBrHYJMkSZI0R4abAKCD4SYAAIA2hpskSZIkSZKk9gw49TPYJEmSJM2T4SYA6GC4CQAAoI3hJkmSJEmSJKkvA07tDDZJkiRJc2W4CQA6GG4CAABoY7hJkiRJkiRJ6s+AUz2DTZIkSdJ8GW4CgA6GmwAAANoYbpIkSZIkSZLGZMCpnMEmSZIkac4MNwFAB8NNAAAAbQw3SZIkSZIkSeMy4JRnsEmSJEmaN8NNANDBcBMAAEAbw02SJEmSJEnS2Aw4HTPYJEmSJM2d4SYA6GC4CQAAoI3hJkmSJEmSJGl8Bpx+zWCTJEmSNH+GmwCgg+EmAACANoabJEmSJEmSpGsy4PQLg02SJEnSMzLcBAAdDDcBAAC0MdwkSZIkSZIkXZcBJ4NNkiRJ0pMy3AQAHQw3AQAAtDHcJEmSJEmSJF3bygNOBpskSZKkZ2W4CQA6GG4CAABoY7hJkiRJkiRJur4VB5wMNkmSJEnPy3ATAHQw3AQAANDGcJMkSZIkSZL0mVYacDLYJEmSJD0zw00A0MFwEwAAQBvDTZIkSZIkSdLnWmHAyWCTJEmS9NwMNwFAB8NNAAAAbQw3SZIkSZIkSZ/tmwecDDZJkiRJz85wEwB0MNwEAADQxnCTJEmSJEmS9Pm+ccDJYJMkSZL0/Aw3AUAHw00AAABtDDdJkiRJkiRJ9/RNA04GmyRJkqTvyHATAHQw3AQAANDGcJMkSZIkSZJ0X98w4GSwSZIkSfqeDDcBQIcnDDf95je/OfQP/4U/CLd5l14Xbb+JtgEAADhjuEmSJEmSJEm6tycPOBlskiRJkr4rw00A0MFw049oGwAAgDOGmyRJkiRJkqT7e+KAk8EmSZIk6fsy3AQAHQw3/Yi2AQAAOGO4SZIkSZIkSZqjJw04GWySJEmSvjPDTQDQwXDTj2gbAACAM4abJEmSJEmSpHl6woCTwSZJkiTpezPcBAAdDDf9iLYBAAA4Y7hJkiRJkiRJmquZB5wMNkmSJEnfneEmAOhguOlHtA0AAMAZw02SJEmSJEnSfM044GSwSZIkSfr+DDcBQAfDTT+ibQAAAM4YbpIkSZIkSZLmbKYBJ4NNkiRJ0hoZbgKADoabfkTbAAAAnDHcJEmSJEmSJM3bDANOBpskSZKkdTLcBAAdDDf9iLYBAAA4Y7hJkiRJkiRJmrs7B5wMNkmSJElrZbjpJn/3n/29cHH4kfT6JC0uT/7iH/023C8An2W46Ue0DQAAwBnDTZIkSZIkSdL83THgZLBJkiRJWi/DTTepHW46Y9gJ4D6Gm35E2wAAAJwx3CRJkiRJkiQ9o08OOBlskiRJktbMcNNNRg437RlyAvgsw00/om0AAADOGG6SJEmSJEmSntMnBpwMNkmSJEnrZrjpJlcNNyVp34acAD7DcNOPaBsAAIAzhpskSZIkSZKkZ3XlgJPBJkmSJGntDDfd5Mrhpo0BJ4DrGW76EW0DAABwxnCTJEmSJEmS9LyuGHAy2CRJkiTJcNNNPjHclBhwAriW4aYf0TYAAABnDDdJkiRJkiRJz2zkgJPBJkmSJEkpw003+dRwU2LACeA6hpt+RNsAAACcMdwkSZIkSZIkPbcRA04GmyRJkiRtGW66SW64KdomDSltcovM3xlwAriG4aYf0TYAAABnDDdJkiRJkiRJz65nwMlgkyRJkqR9hptu0jLcFElDSyX/Faj0mmh7APoYbvoRbQMAAHDGcJMkSZIkSZL0/FoGnAw2SZIkSXrPcNNNRg03bUr+S07+600A4xlu+hFtAwAAcMZwkyRJkiRJkvQd1Qw4GWySJEmSFGW46Sajh5uS3MLz0gXsAJQz3PQj2gYAAOCM4SZJkiRJkiTpeyoZcDLYJEmSJOkow003uWK4KblqvwDEDDf9iLYBAAA4Y7hJkiRJkiRJ+q7OBpwMNkmSJEk6y3DTTa4aQvqLf/TbcH+b9OfRdgC0Mdz0I9oGAADgjOEmSZIkSZIk6fuKBpwMNkmSJEnKZbjpJlf+F5ai/W1KF7EDUMZw049oGwAAgDOGmyRJkiRJkqTvbD/gZLBJkiRJUkmGm25y5XDT2b4NNwGMZbjpR7QNAADAGcNNkiRJkiRJ0veWBpwMNkmSJEkqzXDTTa4cbjpbgG64CWAsw00/om0AAADOGG6SJEmSJEmSJEmSJEkpw003uWu4Kb1vtA0AbQw3/Yi2AQAAOGO4SZIkSZIkSZIkSZIkpQw33cRwE8B3MNz0I9oGAADgjOEmSZIkSZIkSZIkSZKUMtx0E8NNAN/BcNOPaBsAAIAzhpskSZIkSZIkSZIkSVLKcNNNrhxuOtt36SJ2AMoYbvoRbQMAAHDGcJMkSZIkSZIkSZIkSUoZbrqJ4SaA72C46Ue0DQAAwBnDTZIkSZIkSZIkSZIkKWW46SZXDjdF+9tErwegneGmH9E2AAAAZww3SZIkSZIkSZIkSZKklOGmm1w13HS2+Dy9Z7QNAO0MN/2ItlnFX/yj34b/HAAAOGe4SZIkSZIkSZIkSZIkpQw33eSq4aaz/ZYuYO+RFnin90nHcXQs6Z+n18yyGPzseGc7VmA+hpt+RNu8+8b77XZdPCcAAKCe4SZJkiRJkiRJkiRJkpQy3HSTaGH3XrRNztk+059F24yQFnTnzufMiMXstefeeszpWN/3BazNcNOPaJuk535b82zIHV8SbddrO7erng/v5/Cu9/kJAAB3MtwkSZIkSZIkSZIkSZJShptuklvoHW1zJre/qxY/tyxYP9KzMPzsONKflb62lMXkwMZw049omxH32/d7+Jlo+70r7t37/Ud/3iN3/WquDQAAzMhwkyRJkiRJkiRJkiRJShluukluwXK0TSQtNr9j8XNaIB691wgti8/PrsH+/HPXqoYBJyAx3PRj/9ornhEl99zcMSbRdq3enymjnwv7fUc8hwAAeDrDTZIkSZIkSZIkSZIkKWW46Sa5IZtomyQtZC4ZaNrsB3tGGTkgdKR2wfbZMW3X4IrjtrAcMNz0Y3tdui9Gfz5CyT032m5v5H072n/0uha5633F8x0AAD7NcJMkSZIkSZIkSZIkSUoZbrrJJwaErlj4/Inj3tQsQD87rvRnJf81jxZXXGPgWQw3/UivuXKwaZN7NnxqKOjofUYNT0X73hs5pAUAAHcx3CRJkiRJkiRJkiRJklKGm25y9ZBQ2v/ohc+1i9a3oaK92vMuPYee65m23Ytec8YCc1ib4aYf6TXRP997v9+23HOT3H032mZvxH376NhLr+eZ3LVO7x1tBwAAT2O4SZIkSZIkSZIkSZIkpQw33aR1QXeLEQutk2jfkZL3SwvLS65B6QLu2uuZXp9b3J7+PNo2Em0PrMFw04+j+3D657n3SPfb3P7fnd3Dc/sqPecjuf3nni850T73evcPAACzMNwkSZIkSZIkSZIkSZJShptuUjuMM0LPYuiS402vibY9U7KYveS4a65n7XUo2beF5rAuw03HWoaI0v002te73DMn2mbvymdiy3lvcte55VkLAACzMtwkSZIkSZIkSZIkSZJShptuUjOMM1LLouiSheY9i61L9h9tt1d6PVsXs+f237OQHXg2w02xnuGhkudCcvYeuePtuW9H+3sXbVci97zpua4AADAbw02SJEmSJEmSJEmSJClluOkmpcM4V6gdRModa+3+IrlF6LnF3CXXs+c4cwvtexbJA89muOnXRgzg5O67m2jbTfT6vZbjLHneJC37zl3jEc9bAACYieEmSZIkSZIkSZIkSZKUMtx0k9zi6LQo+kxaAJ2ULrJ+V7NAOtp+L9qmRbTvTW7xfcl1iLarEe1zL9oG+H6Gm16lZ1S0fYu0r+g99s7eL3fMpee+F+3nSLT9mdyzrOV4AQBgZoabJEmSJEmSJEmSJElSynDTTXILmKNtzmwDT9G+jpQskr5iYfiR3CL2swXsuetZM8x1JHctom2A72e46Rcj7rXvep5DJcNR0XZHSq7B3tlz613uWK+4tgAAcDfDTZIkSZIkSZIkSZIkKWW46Sajh5v20gLp3P43uYXXVx5nJHqPzdmx5o6zdPH+mdyi9mgb4PsZbvpFtN0I0XvtRdtscsdd83wofbZuRu67Zl8AAPAUhpskSZIkSZIkSZIkSVLKcNNNPjE0lPuvQCTpOKJtN9E2mysWWp8tQj97vxmuZ25QDPhOhpt+5J4nPXLvfXb/LXkWRtu9yx3DkdJnQ7Tt5sprCwAAdzLcJEmSJEmSJEmSJEmSUoabbvKJYZykZFH30cLr3LalC+JrnC0eP1vcbbgJuIvhph9XPBM2vc+j3LGX3L/PnjNnx1dyXXLPsCuvLQAA3MlwkyRJkiRJkiRJkiRJShluusmnhpuS3KLuo0XTue2SdB6jRe+ziY4zad2uhuEmIGK46Ue0zUjRe25y55C7fyfRdnvRNkl6/pz9efK+r3fRNptt/wAA8I0MN0mSJEmSJEmSJEmSpJThppt8YhhnL3qPvWibkuGmT4uOMzm7nqMWhhtuAiKGmz4zgNN7n889087u4WfvvV2/s/2f7Tt3XNv+AQDgGxlukiRJkiRJkiRJkiRJKcNNNzlbKJ1E2/RoWdSdO8Y7HC0Q7130XiK9d7T/zdnideB7GW76zHBT7jkWbbOXu4efnUP0+uR9m+g1Scu+k09cVwAAuJPhJkmSJEmSJEmSJEmSlDLcdJO0YDlayLyJtumRW9QdLW7PHeMdDDcBszHc9Jn/ulDvcFOS20d0H68577PX1u47ed8/AAB8G8NNkiRJkiRJkiRJkiQpZbjpJp8ebkqi99lEC6gNN70y3AREDDc9Z7gpdx+vfRa+v/Zs/7X7HvXsAgCAmRlukiRJkiRJkiRJkiRJKcNNNzlb0JxE2/SK3mcTLaLOHeMdDDcBszHc9JzhpiS3n/29vOWcz55H+9fljuNo/wAA8E0MN0mSJEmSJEmSJEmSpJThppvkBoeibXpF77OJBoA+MTA0yieO1XATEDHc9Jlnwqj7fO5evr8eZ++53+fe2f5L9/2J6wkAADMw3CRJkiRJkiRJkiRJklKGm25ytqg5ibbpFb3PJlpIfbaQPXl//Z0+sUjccBMQMdz0I9pmpJH3+dJzif4syb1ftM0m/Xnu/Us/EwAAeDrDTZIkSZIkSZIkSZIkKWW46SZni7STaJseucGcaKH23QvZa4xc9H7EcBMQMdz0I9pmpOg9N7X3+dz9PJ3r2XMld78/u1Zp2088swAA4AkMN0mSJEmSJEmSJEmSpJThppucLWxOom165BalR4vbnzTM84mF4k+6HsDnGG76ceU9MHf/LT2Hvdz5HCl9pkTblmg5FwAAeCrDTZIkSZIkSZIkSZIkKWW46SafHm7KvV+0KP2KxeRXMdwE3MVw048rnwlXPDNz9/Qjo65XZNTzCgAAnsJwkyRJkiRJkiRJkiRJShluuskVC7WPlCywjrZLotfuRdv0Sseb1AwLGW4C7mK46RdX3Qej99qLtilRck57Nc+TluGp0s8CAAC+heEmSZIkSZIkSZIkSZKUMtx0k08ON0X73ztbrJ1b+H3FQuyW/RtuAu5iuOkXo+63e7nnZc971g4g1T7zSq7Z5oprBwAAszPcJEmSJEmSJEmSJEmSUoabbpJbrB1t0yL3PsnZYu2Shd8jh3qOjjf3HmfnOWrBeO5ajLwOwHMYbno18l6Yu+8m0XY1agaQou3PlBz/pvRzAACAb2K4SZIkSZIkSZIkSZIkpQw33eTq4abSBdUlgz+5Yx01PJR7nyTaLjnbdtTx5a7pyAX9wHMYbvq1EffDkufYiPv7yOdlJNpXJNoWAAC+neEmSZIkSZIkSZIkSZKUMtx0k9wgT7RNibT4PLfvvZIF6J9YYF5yzGfvcbZ977Ftcteh5FoC38dwU6znnpi2LXkujLrvlrxXtF2J3LMjKf0MAADg2xhukiRJkiRJkiRJkiRJKcNNN8ktpI62iaRF07UDTZuaoZ/S/dcuNC9dwJ471rN91JznmdwC9dpzB76D4aZjLffF0vcZdW9Pcvf33veK9rkXbQMAACsw3CRJkiRJkiRJkiRJklKGm25yNozzCS0LtaP9RNK+cwvaaweycvs721fLuUZyi99bFvEDz2e4KS9tO/q5EO2jx9l7997fz65d6fUHAIBvZLhJkiRJkiRJkiRJkiSlDDfdpGYB92itwz654Z4j6f32otecKVlUfrbf9GfRNrVy59+7+B14JsNNP0qfEfvnwdm9+8wV99uj4x/1DIn2nUSvBQCAVRhukiRJkiRJkiRJkiRJKcNNN2ld0N2rd5F26eL1UUoXsJ9dz1EL03PnfsVie2B+hpt+pNd84hlx5b02epaM+i8rRddv1L4BAOCpDDdJkiRJkiRJkiRJkqSU4aabfHq4Kb3fqAXhn1i8ntQcr+Em4C6Gm35sr7vyGXH1fTY69uh1La7cNwAAPJXhJkmSJEmSJEmSJEmSlDLcdJNPDTel97nivwxx5eL1lmEkw03AXQw3/di/9opnxKfusfvnyejn55X7BgCAJzLcJEmSJEmSJEmSJEmSUoabbnI2jNMr7Tstmv7EQvDcYvca23FH75Nzdj3Tn0Xb1DLcBEQMN/14f326J4541o26h5fa3+ujP+9x5b4BAOCJDDdJkiRJkiRJkiRJkqSU4aabjFjwnaT9JGnReetg0Ai5Re9ntuOP9lvq7HqmP4u2qWW4CYgYbvoRbZO0Djmlbe66r6b3HvXseJfO7c7nNQAAzMRwkyRJkiRJkiRJkiRJShluYqi0ED0t2j5bBJ8WjG+vifYB8CRPGG6awfZ8OBp0munZcOVQlWcfAAD8wnCTJEmSJEmSJEmSJElKGW4CgA6GmwAAANoYbpIkSZIkSZIkSZIkSSnDTQDQwXATAABAG8NNkiRJkiRJkiRJkiQpZbgJADoYbgIAAGhjuEmSJEmSJEmSJEmSJKUMNwFAB8NNAAAAbQw3SZIkSZIkSZIkSZKklOEmAOhguAkAAKCN4SZJkqS5+4O/8n958Vf/b/8fABbhGQCwLs8AAGAW77+X6Psz3AQAHQw3AQAAtDHcJEmSNG9/z59//XffAAAAAAB3+rf/xr/7p//2Ut+a4SYA6GC4CQAAoI3hJkmSpHkz3AQAAAAAzMRw0/dnuAkAOhhuAgAAaGO4SZIkad4MNwEAAAAAMzHc9P0ZbgKADoabAAAA2hhukiRJmjfDTQAAAADATAw3fX+GmwCgg+EmAACANoabJEmS5u0f/0v/2q9+V/uf/ev/j9/9y//HfxOAL/ef/W/8Fc8AgEV5BgAAs4h+L/l3/r2/+af/9lLfmuEmAOhguAkAAKCN4SZJkqR5i4abLB6QpDXyDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmwCgg+EmAACANoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNANDBcBMAAEAbw02SJEnzZvGAJK2bZ4AkrZtngCRJmiW/l6yZ4SYA6GC4CQAAoI3hJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxwEwB0MNwEAADQxnCTJEnSvFk8IEnr5hkgSevmGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3AQAAtDHcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluAoAOhpsAAADaGG6SJEmaN4sHJGndPAMkad08AyRJ0iz5vWTNDDcBQAfDTQAAAG0MN0mSJM2bxQPST7/97W9/95vf/KZYer309DwD9OR+7/d+L7w/R9JrJb3mGSBJkmbJ7yVrZrgJADoYbgIAAGhjuEmSJGneLB6QfjLcpBXzDNCTM9wk9eUZIEmSZsnvJWtmuAkAOhhuAgAAaGO4SZIkad4sHpB+MtykFfMM0JMz3CT15RkgSZJmye8la2a4CQA6GG4CAABoY7hJkiRp3iwekH4y3KQV8wzQkzPcJPXlGSBJkmbJ7yVr9pXDTf/kH/2ff/Vl/g/+ff/t3/0d/7n/DgAM9R/4z/xTL8+b9L+j1wEAAPAq/fu6/d+nkvTv9SRJknR/Fg9IPxlu0op5BujJGW6S+vIMkCRJs+T3kjX7yuGm3//D3/7qywwAAAAAzC39ez1JkiTdn8UD0k+Gm7RingFrle5bf/AHf/C3B32S9H8nT81wk9SXZ4AkSZolv5esmeEmAAAAAGAKhpskSZLmyOIB6SfDTVoxz4Dzop/9zdOGZdIQU3QeSTqXJ97TDDdJfXkGnHd2j3nyYOgncw0lSaX5vWTNDDcBAAAAAFMw3CRJkjRHsy8eiBbCtUgL65Kn/1cqdF2Gm7RiszwDzgZvjlxdyT3h6mrvS0n0jDtbXL73tPta6Xkl6bWSXnvyM+AT96voffc+UfS+o7iGsffnaPSaHv5eKklxhpvW7CuHm/74r//Jr77M/6m/8D/53d//B38IAEP9h//Bf/rleZP+d/Q6AAAAXqV/X7f/+1SS/r2eJEmS7m+V4abItqhMStUOETxtCECKmuUZUPvzl1x9/y45pqvvA+kco/c9835MNft42gBQOt7oPCJPOzfpE3kGHFdy75zxGVDDNYy9F73mCv5uKmn1DDet2TLDTf+jv/bXfvdv/o3/JwAM9Z/4x/6HL8+b9L+j1wEAAPAq/fu6/d+nEsNNkiRJc7TycNOeRc+qXVh79WJM6RPN9AyIfs7OXH3fLlkQffUi5Og9c/bNODAwMsNNUl9PfgYkV1Zyf7n6fllzj2t1ZU+8htGzInrdldIxPOlZLEmjMty0ZoabAKCD4SYAAIA2hpskSZLmzXDTKwMr62a4SSs20zOgZRH3lUXv9y5aBD2y6D3PvC+GTv87et2Zq89pZDXfmSedl/SpZnoGtNyvrvxdLHq/yJVF7zeaa/gqGiqKXvcJ6bnl7xuSVspw05oZbgKADoabAAAA2hhukiRJmjfDTb9mEdmapc89+j4c8T3RN/T0he3RIuQR1dwPrqr2npS835dqhn/2npLhJqmvmZ4BI+55o6o5lquOoXXYK/rnZ1zDV1HR6z7pqusjSbNluGnNDDcBQAfDTQAAAG0MN0mSJM2b4aaYRWTrVbMIM/Ed0Tc02zMg+lk7c9XASs2C6KsGrEYsyjbc9AvDTdKve/ozYIb771XHUHv/3u5x0Z+dcQ1/cfSciF77af7eIWmFDDetmeEmAOhguAkAAKCN4SZJkqR5M9x0TGtluEkrNtszoHYhcnJF0fscOVoM3Vv0XmeixeE1i8v3nlLN9+Wqz0l6crM9A1ruWVc0w70leq8z2zPANfyl6L3ORM/RVPTaO/i7h6Rvz3DTmhluAoAOhpsAAADaGG6SJEmaN8NNxyyEXivDTVqxb1jYfrQYubXae0EyupZjiO5JM1zPK5th8bz05GZ7Boy69/UWvc+ZK4re58yWa/hL0fucOSp67V0k6Zsz3LRmhpsAoIPhJgAAgDaGmyRJkubNcNM5rVPtYtArFoJKn27GZ0D083ZmhuGm0cfQMpR0VM0AUPKke5vhpmtK3790vUrpuXkG/LqW++/o+2btMbz/HEavOeManj8jotffxT1X0jdnuGnNDDcBQAfDTQAAAG0MN0mSJM3bNw43bYttk+jPa4xe7Kd5qx1oeNIAgHTUjM+A2nv36IW+LYuyRx9D9B5nzp5VNfe2p93Xar4roz+jb672Z0DP7RueAcnIWt5/9N8Xao/h/f1dw/5ruC96/Z0k6Vsz3LRmhpsAoIPhJgAAgDaGmyRJkubt24abjhZm1y7U3aSFcVojw01asRmfAS3365FF+y8xsmj/Z3L3o/TnuYXeT7yn1Sxe9zwvr/ZnUM/tW54BI+9f0f5LjCza/5n3XMP+a7gvev2ZdC0j6XNJagev3nmeSfrWDDetmeEmAOhguAkAAKCN4SZJkqR5W2W4aatlMZnWKH13os//SO67Jj2hWZ8B0c/cmbRYeES194G9UbUcQ2nRour0z556P6t5plsMXl76TkTX8Iie24zPgJZ74AzPgFH30dqfv+je5hr2X8N90TZnSs+j5hn2TpK+McNNa2a4CQA6GG4CAABoY7hJkiRp3lYbbkrVLiQbtdhPc1e7GHPUAkzpzmZ9BtTep3MLk0urXRC9N+pZUXsMKz+jar4no74jK1T7HdRz+5YB1296BtQ+/47eN3rtGdfwuGibMzV/R6g91s2oayVJM2W4ac0MNwFAB8NNAAAAbQw3SZIkzduKw021i+4sHlsjw01asVmfAbX36WRE0X5LjVoYHu37zMr3oppF4aM+nxWq/fnTc/MMeK110GQzomi/Z46eAa5hudxzNNrmTO1zueWa+fuppG/McNOaGW4CgA6GmwAAANoYbpIkSZq3FYebUtG2RyweW6P03Yk+/yO1CxelGZv5GRD93J3pvVfX3gMivbUcw8oZbrqm2qEIPbdZnwEt98IRv5dF+63RewwjnwGuYblc0TZnWs4h2s8ZzzRJ35jhpjUz3AQAHQw3AQAAtDHcJEmSNG+rDjdZEK33ahdD9i6+lGZo5mdAzX066b1XtyyIftc7YFU7VLL68K1n+TUZblonA66/VPu9j/T+blh7DLn7WrTNGdcwLtruTMs51DzPNpL0bRluWjPDTQDQwXATAABAG8NNkiRJ87bqcFPNwjcLoteodrChd/GlNEMzPwNaFkn3NGJRdu/zItrnmdXvQzWLwT3Ly6v9WdBz8wz4pZbhknfpmHuqPYbc+7mGeSXvF213puXZ/OnPSpJmzHDTmhluAoAOhpsAAADaGG6SJEmaN8NNeRZEr5HhJq3Yty1s7/m5jPbXorXae1CyejWL2D3Ly6v92dNzm/kZ0HJPfPIzIBXt70wu1zCvpGi7My3X0HCTJBluWjXDTQDQwXATAABAG8NNkiRJ82a4Kc+C6DWqXQDas/hTmqVvewake3tLtT//Zz51DK3v800Zbrqm2kX2em6eAT+NfAa0/n5Y+3NXek+Ltj3jGv66aNszLcffcv1ar5MkzZrhpjUz3AQAHQw3AQAAtDHcJEmSNG+Gm/JaF/npWdUuKrSgUN/Q7M+AmuGVpHWApXZB9JlPHYN7kOGmq6r9Luq5zf4MaLk3tzTyGZD21VLt8670fVzDY6XvE217puX5XPv3kMTvAZK+LcNNa2a4CQA6GG4CAABoY7hJkiRp3gw35bUusNOzql1UaEGhviEL23+K9tOqdYgm2tcZGW66qtqfOz232Z8Bnxr4qB2KyWkp2s+Z0lzDY6VF255puX6f+pwkaeYMN62Z4SYA6GC4CQAAoI3hJkmSpHlbdbgp2vbIJxaOpfdIi4nTwsCjxYHpn6fXpNc+dTHb0YLpGc4nHUN0bEdGHnPus0/2n/9spWPaziE65kRz9oQFZPvvVIna71vtz36J2mqP4Wk/U9t9ILrPbf8s/Xnt/e19X2fSa5/S/p56dI7bNWu5brnSPqP3PDKi0vMdfa6r5xnwU7SfHrXf0/T6aD9H0s9DTdE+zriGr0Xbn2m5T9Uef9LyPqUd3ZPTPx91L972Fb1Pkv7ZyPe7snR827m8n8N2HrOfgzRDhpvWzHATAHQw3AQAANDGcJMkSdK8rTjclF4TbXvkqqIFULVaFkrVnn8yajFWtO/NiNL1iPZ9Zju32uvSe016P/8Ri+R6z7lm+95j1TU9YQFZ7c9Jen1NtT8HJdLPZ021966an6ea61d77c7quceV3t+uPLee70XrdWy9Xpva791W7fevRq7W907XynOlvyc8A2q/I7U/B1d8/68+hqfvv8RM5xhtf6bl3tRyDaP36X0ulm4fbVtSOs+aY3yXth917699zr+/b/rfLZ9bzXdPWi3DTWtmuAkAOhhuAgAAaGO4SZIkad5WHG6qXYQ0ut5FXZHahV7RPs6MWISVu+41x39U7XXdL8xL7x+95kjr8Y7+/NO+Wo+l55xrz6H1GHVt37iwPampdP813/n9vaWkaB9narryuKNaPq8jufvGVedWe2/ca7mGNedRIn0GNY38zN4dla7xqPP2fGnvCc+Alp/Hmkq+h+k1tT8nNdX+LNTmGv5aTdH2Z1ruSS334aia65Beu1X7HdlvW1Lt51Oi995fe8779xtxPrXPammFDDetmeEmAOhguAkAAKCN4SZJkqR5W224qXYR08hFR+m9r1jYtVd6vLXXIcld21y5cx9xraP9ntm/Z+01abkeV37+Ldev9ZxbzkNz9pQFZNF36kzNz0O0/bu0vyT6syOl1f4c1v6s1/y8pte2VnseJXLHc9W51ex3r/b6XXHNNulYtnt2rtrvdo2oq74rpeerX/rWZ0DNdyHa/l36Gan93tYUbX+k9j6zFe3rjGv4S9E+zrTci6L95ESlc4teG9muQ+3nkpT+LnLl8yXpuffXnnd6fcu1OtP68yx9a4ab1sxwEwB0MNwEAADQxnCTJEnSvK003NSyGGlUoxdCnSldJBVte6Z0EdtR0T7f9VS7eO79OtV+RmfftffSa9P7RfsZqXaBXMs5t56H5uwpC8hqv3elPwulPwPbz3v0Z0dK75ktP4c11Vy72nvIVut9ISd3PFecW+u5lO5/q/V9apV8X65cfP5e7fe9Ru1nIAOupd/H9Lra727Jz16q9uev9Nzei/Z1xjX8pWgfZ0qPe6v2uiRH97uaZ0t6bct7JyXX8FPPuaT2mqdqz732e1aj5filb8xw05oZbgKADoabAAAA2hhukiRJmrdvG27aFmlt0iKk1oVItQvfjrpyIdSR7Tqc1XJcrZW+V8/CrtoFdO+fb3rv6HVHSo+1dr+90nUo7VPHVnNM+mxPWUBWe78q/c6V7ner5j4z+hg2tV1xzPtq9l8rdzyjz631XEr2va/1fVrlnle138Ea71157qrvW58BSUm1z4Doz46kfZdU+zPRmmv4i9qifZwp/TvCVst98ejafOr5cnaO6c8+dRx7pd+XrU/9PahU7fdG+sYMN62Z4SYA6GC4CQAAoI3hJkmSpHn7tuGmUdKCrBG1LCQcKVe0zZnWRVfRvo60Fu3rzHu1C9xKr0W07dVKv7+fWtRXu9hQn+tJC8ii79aZkqLt3u2/v7X39JKi7Y60/CzVLDCuffZdvXg5dzwjz631flh7ze76veDsmXXlMe278n1Kn8l67SnPgJafz5LvRMk9ZP8zfvczoPZ+s881/NFyDaP9nKm5H5Vcv8jRe7Tur9ZZ0es/JX2/Smv5mbhSy3dT+rYMN62Z4SYA6GC4CQAAoI3hJkmSpHkz3BQb0QwLpnKLpGoXGNYsGNuqfY+aBYFbI86j9vMqOc5PLTCMlBzfp76jLd8bfaYnLSCr/XnKfe9Kv//vP0vRa47kfg5rfwZz+4uquW41C2s/cX/LHc+oc6v9HPZqPpOe9+l1dv61z9Aa+676zuS+JzrumwdcS373iLZ7t9/P6Ht27f56f5+K9nnGNfwp2s+Z3DGn0mt67olHXXWffXfUp97/TMn1T9V+dz7B80yrZ7hpzQw3AUAHw00AAABtDDdJkiTNm+GmXxvRTIulzhbxtRxnbbWL3FoWHda+R1TttcgtnEvnEW2Xk84lbZv2v2ndV67ac26Vu1a6ryctIKv9OcgtEC39/r9Xc7/J3c9qz6mlmuPNXbOtT907cscz6tyi15eovbfVHO9e2m7Ec+Ho+9iyr1Jbtd+Z0nM++1yV75ufAclZpft7L3rNkfQeZ9WeU2+uYds1jPZzJt2X9veu/T2s5TN4d3ZNWp8zNY7uu59471LpeudKr4m2vVvuOy99c4ab1sxwEwB0MNwEAADQxnCTJEnSvBluim2L0lqbaXFXcnYutYvsaq9LtI+c2qJ9HDlakFe7wC13HaJtcnKL2WqPcfT+WtV+Z/S5nraALPp+nTmr9N73Xs098+h+sxVtcyT383xUzfMod7xb0ba10nvlji13PCPOrWYfe7X3tZrvzSZ3/ukYao8/quXYSm2N+rl5P2f19aRnQMvvLGeV/OxE38Xan5ezan5+z34uSnMN265htK87nT1/aq5Hq+g6tny3rlTyWc92zHvSqhluWjPDTQDQwXATAABAG8NNkiRJ82a46VzLIrjeRcLpPdM+0oKrTe8+k6NqF3alYymt9bjTMZVW+x5H+669DmfH2HLepedce5xn1e4rks41Ovb0z7cFlpq3py0g275TpdL38Kjo9e+i7Wt/vo+q/fkrvUe8V3PNSp55tZ/B3tnnkc7v/drmjqf33FrPpeWziPZzJnfu+2rOI/oM0vmkfWyi7c7st323lf7vaNtIyfVN53H2fVJZ3z7gevZdil7/7ujnJXrtkd5j2Iz6vkf7PuMa1l+zK+XOoeZeG0nbH31m6Z+n10R/3vO+23sm6X2299rer9XZ9yaV/jzartb+uLdj7/0c0j6kFTPctGaGmwCgg+EmAACANoabJEmS5s1wU5nc4qh9rYuZ0na5ehZhnZ1D9PozpUXbliqt5nqfXePaa3t2PWu/A7UL2GqO9WzfPd+ndI5n12Cr5DW6r28fbjr6mS/97h99f6PXHjn6Gaz9+Wut5podXa990XY5JfvdStdlO+bcdj3nVnv9N0ffibPSdyDa15Ga67UV7edIrtrjLSna7og+19OeAbXfzd7771HRa48cHcMVP2cluYb1Rfu6S+4ZVPNcfHd0nd97P4baz2Ev957pvXrO6azS7/CR3GeRuurYpW/NcNOaGW4CgA6GmwAAANoYbpIkSZo3w03lShYwtS6SKtn3vpaFUmeLpWuPu+R4exa6JVdc77MFdKOuQe1+zj6Xs6J9HTmq9lg3rces+fr2he1JVOl+jqq5Bx/9vNScy9m9K9eIY92q2dcmt8+j0jmPPJ79vlrvfUf3/Vy1163l8645p9x51Hw3k5Ki7Y60XmfV97RnQMvPblTpd/yomp+Ro5/n1vtXb65hfdH+7lByb6x93mx67rst71n7ebR8b5Oz82rdZzr2muvV+j5H33vpmzPctGaGm2Ai0S8lm//aP/FfDbcB7mW4CfhW6XeP6HeSTbQNAEANw02SJEnzZripXMkirJbFXTWLo/aNfq/o9UdKFlu1HN/e6PfIfX61C8+OrmXNYs2kdeFazfEeHWvtOW+O9qfn9cQFZNF38kz0fY1e9+7sZ7P25zwqet2Rnp+5kffJaJszuf3lyp1367lFf57T8xlE+zvSc82i/UVyz50R3+/3ou2O9H5vVN6qz4CSe8fZ9zDtM9rmSFT0uiOtvyseFb3HmdWvYbS/Tyt9BpV8Lu/OPqeSon2eaX2/2u9Mcva5t+wvaanlvXo/F+mJGW5aM8NNMJHol5KN4SaYk+Em4FsZbgIArma4SZIkad4MN9XJLTKKtjnTs2hp9AKv0YuZo21q5Yq2OZJb1Fh7PdPro9JnGr3+SE/R/iJHxzr6O6Tn9cQFZLU/Y9F3Nnrdu6Ofm61omyPvx1D7s9dTzfU6eybVPiOSq2s5t9rvT5L7LpxVe9167rE173VW7TGXFG2X03PdVdYTnwEjfqai173L/SxG2xx5/y5/8hkQ5RrWFe3vk2ruhS3PuJ5qv0tJzfm81/J+R9V+h5KeY//0ZyM9McNNa2a4CSYS/UKyMdwEczLcBHwrw00AwNUMN0mSJM3btw03nS04Sn+WFkS1LCzaO6plgVRvtQu8tsXdR0XbHDm71i0LzyIj3yNX7ed3dGzRa4/kPo9c0T4j6VpFtXxnzz4TPa8VFra//5yVfu9z1TxL3o+h5hyOfn5L6znOfTX7SXqPu6Tac6s9h6T3nlf7fe25bjX39LPzqj3mklqu/eYT36VVe+IzoOZ7vtlX+v3OFW1z5P07XPMzln52Ruca1hXt81Nqn0G199rea1P7fu+fY0vRfs8cXcPan4M7jn3Ee0pPynDTmhlugolEv5BsDDfBnAw3Ad/KcBMAcDXDTZIkSfO20nDTezWL4vaOFoHV7m/UYqVo32fOqjmHs+OPXt/qqJrFdCXXunaBW/Rdq93Hpxx9Z1uOV9/VUxeQRd/NM/tK73O5au6Xyb7oz4/UPNeiau6VR/eKVPT6M5+o5txa9F771NXH2Ors3Hq+20fV7jOS9jHiM9EvrfIM2H9vSn4mz+6FWz0/JzX3hfQ+VxS915mVr2G0z6u1HnPNdUk+fW1GVPu9OTrH9J2OXn9kxPNn1LFL35rhpjUz3AQTiX4h2RhugjkZbgK+leEmAOBqhpskSZLmbeXhplTtoqZNVO1islHVLpI6u0a11yOq9nhyjo43eu2RkmrPPTqu0ec+UlTtOZcsVNWzeuoCsp7Fu9GfvytdTBpte2RrxH22ppprdfYzHr3+yKfuFbXfgxql34Fc0b5ncHZ+tc+ykmq/9znRM1j1PfUZUPsd3X/foz9/V/LzX/ud3n9noz8/clWuYXnRPq9Sct3Oqn0u9t5Lo30eGfW7Qe335uia1uyn93PZF+3/yKd+n5JmyXDTmhlugolEv5BsDDfBnAw3Ad/KcBMAcDXDTZIkSfO2+nBTqnaBVBItcKpZTDZyoVLt8eeuUTq3aLtItK/S61D6uuha1xxj6bUecR1rjuvTomrPOfos9OxWWdi+3QdKv/PRz3dU6X0s2X5+ao59xM9czTEe3S9nvVfUnFuNo+vQUrT/GZx9RjXf0aS02v2WKP1ZVdxqz4BU9OfvSou2PbL9zNUc+8h70XuuYXnRfnul40rSuYy8j6V9Ru93pKc7fzeI9n/k6DtQc/wjj73mMzo6dulbM9y0ZoabbmJQhUj0C8nGdwbmZLgJ+FaGmwCAqxlukiRJmjfDTT/VLgSLFhpFrzsycqHS6IVltft7L3pNJB1HEv3Zu/dqPq/Sas87+q7Vfo8+KTre0d8dPa8nLyCLvqNnUq33nKNK95ds9/2abaKf29pq7ktHz6aaY04+1VX33BHXfSva/wzO7udXft7R9r3OzkXnPfUZUPv7S5Iq/W6X1vKzUnPfuvK77RqWF+33zMhnSG21z8WeWj67UY1475qfgZGf6Sc/I+lpGW5aM8NNN/l7/9N/798W/Rnrin4Z2RhugjkZbgK+leEmAOBqhpskSZLmzXDTT7ULpNKipPei1x0ZsdBuX/QeR0reu2bR1f6a11zHVOmisvfPNXpNJPqcjio9lk30XatdrPZJ0fGOOGc9uycvIKv9eSu9P9Xcn2t/hlLRPz8yoprrdHTPrLm3J5/qynvuiPtd7ffjk44+69SVn/dV1+TsfHTcSgOu6btXcs+o+S7Vfp9rX3910XueWfUaRvs9k47xrko+n03N5xR15+8GI9675rs08jOd9XcqaYYMN62Z4aabpMGm9KAx4MTe+y8ie4abYE6Gm4BvZbgJALia4SZJkqR5M9z0S9H+zrwXveZIWtQ0sug9jpS8d81ir/3+oj+PtGyzVbMgrOb7UHPOSbTvmgWFnxYd74hz1rN78gKymntBUvrzWfs9j/ZxpOYeUXKvLmnEQufaa/2prr7n9lZ7j/2ko886dfXnna7LFZ/dqJ+ZlfIM+LXa71G0jyM13/uzn9FRuYZlRfs+c+fvy5+8PrXfn5GNeO+aZ/TI7rxu0uwZblozw0032YabkqcNOO2PPRJtQ5noem4MN8GcDDcB38pwEwBwNcNNkiRJ82a46Zei/Z15L3rNkdpFf7mi9zhS+t7RtkdSNQu19pVut322pYv2ahfs1SxwS6LvWs2Cwk+LjnfEOevZPX0BWfQ97VXbVT/3o37eao7v6L4560Lcq++5R9ejtNp77CedndunPu8rro/nVF1PfgZc9fNVW+3PS6m036tzDcuK9n3mzvvQiGd+aZ96VkSNeO+a7//I7rxu0uwZblozw003eR8QetLgiuGm60TXc2O4CeZkuAn4VoabAICrGW6SJEmaN8NNvxTt78z7e0WvOTJqsd1W9B5HSt+7ZuFVuhali+neF9KVLizbjjv6s0jtNa5Z4JZE37WaBYVJen3azydEpX8eHdeRo/3ouT19AVntz1yJ2mrulTVGVXON3u/PW7Xn+Kmu+PzfHV2Tkmrvscl2z77aWZ/+vNPxRPtt0fN5rZgB11ct35+R39+9TxW9d49vvIbRvs/k7rFXVvNc7L1f1j4rRl6XmvNMomq+dyOPfdbfqaQZMty0ZoabbhINCP3hv/ovha+djeGm60TXc2O4CeZkuAn4VoabAICrGW6SJEmaN8NNvxTt78z7e41YZNXSlQvLou0jNeeejve96HWR0vdpWaxXs8Atia5j7WcRXYtPNuKc9eyevoCs9mcup/VnMtpXj5H3hpr789G9c9Z7Re25Rf+8RM/5RPs7M0O1P1ejStd5xM+0Z1V5ngGvZnkGtPwe25prmC/a/5k770G1z8We0nlG+z0y8rqMOM+a42/9XkdF+z8y8nssPSHDTWtmuOkmRwNCTxhwMtx0neh6bgw3wZwMNwHfynATAHA1w02SJEnzZrjpp9rFWcn7e9UuDhy1wKtmcVdS0+gFj0lUy/U/07IArfYYos+v9nqNXCjX0ohz1rP7hgVk0Xe1Vet3vPY+nDPyZ+3TC4CTT93bas+t9jz2Wj+TaF9nZqj2WXZFtcewN/Ln59t7+jOg52c60lrP9zXyyd8PXcN80f7P3HkPGvHML632u3PXZzLid5vea7V15zWTnpDhpjUz3HSTswGh2QecDDddJ7qeG8NNMCfDTcC3MtwEAFzNcJMkSdK8GW76qXahUfL+XrWL8kYtVor2faamluty5mxhWPT6Vi3Vnmv0Xavdx6iFcq2NOGc9O8NNr1qrvf/njCzdZ6L3iIy8R3+ilnOr2eZdyz0w2s+ZGe6ztd/nK2v52Rr1+9UKeQa8am3mZ0BJ0TG0am3maxjt/8yd9/FRz/zSov2eGVHtd+XomVD796ARjTp26Vsz3LRmhptukhsQmnnAyXDTdaLruTHcBHMy3AR8K8NNAMDVDDdJkiTNm+Gmn1oW1L1Xu0Aq6a32uFsWsbVcmyNnn8+o92ldBFb7+UXncsd3oKcR56xn9w0LyHqGVfZa7x1b0T5b9B7He6MWOtde50/cL1rPrfZcNmfX56jaZ9voz7+l2mO+utrjafmcVu0bngG1348jPd+blt//jtzx/XUNz4ve48ydvy+nc4+OKTLiOtW8XzLiGRft98zR51H7nRtxvaL9nrnzuyTdkeGmNTPcdJPcgFAy64CT4abrRNdzY7gJ5mS4CfhWhpsAgKsZbpIkSZo3w03ti+mioted6Vkk1XLcLQvKWq/Pu9y5jnqf1mrfP70+KnrtmaP9lJS27d0+OqYjPe+lObOw/Re93+/aBb5HRv+c1RzX2X269jr3PN9Kaz232nvfXu151b5Xz8Lv9F6bnmo/608Uve+RT3z3vqVveAb0/Dzv9fzspaJ9tug9jpZcw/Oi9zjTew/uqfW52Frt8yLpuT4157c5quV7P8uxS9+a4aY1M9x0k5LhpmTGASfDTdeJrufGcBPMyXAT8K0MNwEAVzPcJEmSNG+Gm9oWGh0tmvvkAq9PLpBqea93JQsNo+1qpONsrXaB29HnVvsdKLkuUdHxpvNP+0tKvlejzlnP7VsWkEXf11q91f7sHxldzf377B5ae79Ieu7JJfWcW8v5bGrvhdE+zrTea9+vR/rf+2dC6X5rv8s11RzHvp7PWsd5Bvyit1mfAaVFx1Krt1mvYfQeZ1rv4SP69L0ynWu07zOt7zv6vVr2l7TU8l7p50FaLcNNa2a46Salw03JbANOhpuuE13PjeEmmJPhJuBbGW4CAK5muEmSJGneVh5ual3QlBy9T+s+a447VbNwbdOzgK3nWm1K6l3U2FPtOY78DtR+/qma78DR4rhR56zn9i0LyFruiXs998d90b5rXLGQteba5K5Dyz269b6RtssdT++59Txzas6r5jiTlu/ByPt57XWpabsWtd+L3s9acd/yDOj5WU5GfGdqfwYjd353XcPjovc5U3t/G1k6/+iYIqOuVbTvnNr3bv1unD1PW/f5qWO/83sk3ZXhpjUz3HSTmuGmZKYBJ8NN14mu58ZwE8zJcFNeem4cmfG/UAj8MNwEAFzNcJMkSdK8rTbclP68d/Feclb0+hJpoVTu+HuO/WxxV0nRPkuVLgJrXfyV9C7Qq33vs88qev2Z2mNPr4/2c+Tosx95znpmFrb/6L0/btX+bL674mes5phy96Lae8am9R6X227EudXs413p59Vy3Wq+Cy37P6v256m092tdc4777XJG/Tyv0Lc8A1p+BvZGfWeifde487vrGh4Xvc+Zmnvb6EY8F2vr+e6UXKvW53Tu/K7+zqf9tx57Iq2Y4aY1M9x0k7SgO3oAnZllAXju2KNtKBNdz43hJpiT4aa8s+dG+rNoG+B+hpsAgKsZbpIkSZq3bxtuSguIItFrW5UsZIq2K5X2n6T9JNv/7jmPtG1vPeeVu2b7ou1LpOPrqfb8zt6v5VqVfkYt34OjRp6zntk3LSCLvrOlRn23e583V1RzTCX3oZ5z3J5tR6U/378+dzyjzi16fYmS67UVbZ9T8r2svY8nuWfy++eQU9LRPnPHkqr9znlWlecZ8GNUtT877+4uOqZSo5rxGkbvc+bOe9Co52Jt0f5rpM89XbdN+t+19/53uedLep9ouxrpGNP77I9/+9/R60vljl361gw3rZnhppu0DDcl0b4+zXDTdaLruTHcBHMy3JRnuAmeyXATAHA1w02SJEnz9m3DTZ9QUu9irNHSQqsRRfvOqV0417IYbMTivNoFbrlrGm1TYlsc917rIrmzxXGjz1nP65sWkPXcd0fV+nOanP2s9lRzXUrupbX3jSPpvTbRnye54znb9t3ZvnrOKXeMW63vkfYf3XvT96Xm/Pdy1X6Pc5Wce3rP9/NsPUeV5xlQ/jNc0ifuJVfmGsZF73Umumd/qprPcJbP7Qol5zbbMe9Jq2a4ac0MN92kdbhphkXghpuuE13PjeEmmJPhpjzDTfBMhpsAgKsZbpIkSZo3w011SherzbRYauTCtdoFz0napqaWa1f7HlG175v7LszwHch99qPPWc/rmxaQtdyfkhH3j33Re5S46ufrioXOrde6Vu54Rp5bzzmVfodqjvcqJcdaey1yRdtcpfSz0E+eAWN/T05F71Fihu+uaxgXvdeZO39fHvlcrG2GZ9ym5DOo/XvQp/j7llbOcNOaGW66SetwU3L3QnDDTdeJrufGcBPMyXBTnuEmeCbDTQDA1Qw3SZIkzZvhpnK1C8BmWDA1etFayzm1FO3nzIhqz61k4VnrItFRcsd4xTnrWX3bArLoe5sz+nvdurj3qmqOp+aZ0XqeNXLHM/rces6p5HtUe88dreQapGqfXWf1XNMWquubngGtP1+jB2Jaf/ebIdcwLnqvM6N/r6hp9HOxtk/f8yOl1//uZ3Lkis9EelKGm9bMcNNNeoabkjsXgxtuuk50PTeGm2BOhpvyDDfBMxluAgCuZrhJkiRp3gw3lWldaHT3Aq8rqllw2Hrdat5j1ILK2gVupQvn7voOlFyXq85Zz+nbFpC1/LyNrmVR9qj7WFTNNam9Z199f8sdzxXnFm1bquQeWXvfHaXms639Dh/16XO98ufoWzPgOv4Z0PK9r/n5vLro+HJGN9s1jN7vTMmz4KqueC7WdNczblNzTncf67uZ7gPSXRluWjPDTTfpHW5K7loQbrjpOtH13BhugjkZbsoz3ATPZLgJALia4SZJkqR5M9yU17vQqGaR2UhXLayrWQjWutC45j1GVbvAreb6fvo7UPqdvfKc9Yy+bQFZ7VDGVQtJo/c6c+XPVs39p+V6XHl/yx3PFedWe1/c+8R7tKr5jo0abkp96lxLr71e8wy45nsTvdeZmQbzXMNfF73fmSuf6bnS5xEdU+Sqz+6OZ1xSez53HeeRO7830iwZblozw003yQ0I5f58c8ei8NyxRdtQJrqeG8NNMCfDTXlnz407nmNAGcNNAMDVDDdJkiTNm+Gmc6MWGX1y8dRVC9X2lS6c6yna37uR51r7GdV+N0qvWa+axZ1Xn7Pm7xsXkEXf3SNXLYau/Xm/sppjab2nXnV/yx3PVefW88wufZ+e96hRc95btcMNudK51nxWtVrOUT992zOg9ufqqmdA9F5nZso1/HXR+51J1/Cuau61V947r77vv2u55rXf9drX17jzOyPNlOGmNTPcdJOSAaHcazafXhhecuy0ia7nxnATzMlwU97Zc+PTzzCgnOEmAOBqhpskSZLmzXBTLC3UG73IKO3v6kVeVy0wfK9kcVfvgrmSxdUjq12w1vL9KDmnVul61x7TJ85Zc/eNC8hq7rNXfadrftavvm/XXI+e+/YV97fc8Vx5bjX7flf6mabvX8/75NSe81btZ1naFefaeo76afUB16uq+Rma8TscHeeRq5rpGkbveebO35dr7rOf+O5d8bvBXjqH1uudtov2eSS9vnabnBl//qU7M9y0ZoabblI6IJR73eaTi8NLj5160fXcGG6CORluyjt7bnzy+QXUMdwEAFzNcJMkSdK8GW56VboguafRi6KSOxZGRcex11vuOo0+55YFbi2l7dKxR/ts1fq9/dQ5a96+cQFZzULaK4veL3L1z1XN/ab3vjr6/pY7nqvPredcaj7X2ntxTjrunu9V7WL0mkada+856qeVnwEt94TSar7nn/i7R22u4WvRe565895U89y68vPbl65H7XMlJx177+de8x1L9p9rzXU+cuf3RJo1w01rZrjpJjUDQrnXbj61QLzm2KkTXc+N4SaYk+GmvLPnxqeeXUA9w00AwNUMN0mSJM3bqsNN24Ko5K6FRb0LvUYs6urpbEHYqMVy0b43oz+3s/OJ9L7/DJ//p89Z8/WNC8hKv9dX3z9LF75eXelxJKPu3SPubyVdfW6198h3tffM3vdL51j7nlG1n11LreeazvHqn92VWvkZ0HJPqCl6z8iMuYavRe95ZsR9uLX0mUTHFLn683svXZee3w2Skc+A2ufQ++ea/nfN9d54hknHGW5aM8NNN6kdEMq9fvOJReK1x0656HpuDDfBnAw35Z09Nz7x3ALaGG4CAK5muEmSJGneLB6Yo22xVxItkkr/bFvMNdOCqPfj3Iw6xrSfaP/pWnxT2+d/tkBu/x2QRvWtz4DoZ+jd+yLV0R3dv/ZW+Hk+e75t9zX3ttfSNcs9F/bX7cnXbv/9yJ2nxrfyM+Dq79TRd3ovfbdnLTred66hWqt9zqXXji7tM3rfI2fHsJ3H+7lsx3/VOUjfln8/uWaGm27SMiCU22Zz9RCM4abrRNdzY7gJ5mS4Kc9wEzyT4SYA4GqGmyRJkubN4gFJWjfPAElaN88ASas2crhJ0pj8XrJmhptu0jogVDrg9If/6r8Ubj+C4abrRNdzY7gJ5mS4Kc9wEzyT4SYA4GqGmyRJkubN4gFJWjfPAElaN88ASatmuEmaL7+XrJnhppv0DAjdPeD0yeGmdA5JWlx79L7pnyd3Df+k9z07vu3PSz6PaPvNXecHnHvycNPR/XX0ffXo/pikP4u2WdX2mUTXqfczSdtete+Rzp77MxxrOr6zY7z7OLdjS46ObfvzaPu9o31som0AAGoYbpIkSZo3iwckad08AyRp3TwDJK2a4SZpvvxesmaGm25ytBh2E22zF20TSQtco+179B57idxi2jOfWkycuw6RtM3ZZxJts/nEOQH1njjclO5DNfew2vtPy/3xyH6/6bij12xGPfPOjj/9WbTNu9qhkJrPJL2u9FzT62qfqaXneCTa5+bsu1R7nEk61trvZ6uW49t84jhzPx9Hej6TaBsAgBqGmyRJkubN4gFJWjfPAElaN88ASatmuEmaL7+XrJnhppvkFjBH2+zVLGAtXQBdqvfYz7QuzI2k4xx97knP4uZNOrZo39FrN1cvigbaPG24qfUednTfiuSeEzX2+809I0bd88+Ov/Q61AyFXPWZ9D6vWq9ntK9N9Cwb9eyP9j3CqONL0mc26nu6Sfsb8TMXHVfN9xgAoIXhJkmSpHmzeECS1s0zQJLWzTNA0qoZbpLmy+8la2a46Sa5RajRNu9qFtuOXEg74tgjIxbmRtJ+o/erNWrx8N775xK9ZnPVom2gz5OGm0bcw6L9vht5r9zvN/fcG/WsOzv+0mdK6VBI77U6Op5Rn0HLNY32s3l/lo06zk3p51Nq9PFtRh1n7ntW6/24DDcBAFcz3CRJkjRvFg9I0rp5BkjSunkGSFo1w03SfPm9ZM0MN90kt1g22iaSW+i994lF30m0zZmac2jVu4j4ymPcfy7Rn28MN8GcnjLcNOo+VnI/zT0nauz3mzuH/f20x9nxlz5PSoZCRl2n92Maef2T2usa7WOzf5aNPs5N6Wd0ZtTPy5ne4/zE9TPcBABczXCTJEnSvFk8IEnr5hkgSevmGSBp1Qw3SfPl95I1M9x0k9yC1GibIzULcEcs/L7r2Hu1LiL+xDFun0v0ZxvDTTCnJww3jb6P5e6nuedEjf1+c+ex3Ut7nR1/6bMkNxQy+jPZnhEjr/2m9Jw30T42Vx7nXu0x743+bM60Huenrp/hJgDgaoabJEmS5s3iAUlaN88ASVo3zwBJq2a4SZovv5esmeGmm+QWpUbbnKlZiNu7+Hvksdcuzk2LbPfS9jX7SK+NjuNMtJ+c7bhqji/3Xul8348NuN8ThpvS/SO6r+y13LOOlO6jxH6/uWdd7/Ntc3b86c+ibd6VXPMj2+dQex1rP+ea/dc8g6LtN2k/LcdZc6ybtE10fDm177Wd06b2eGuPs+T6RbbjKj2+7XyiP9tExwcAUMNwkyRJ0rxZPCBJ6+YZIEnr5hkgadUMN0nz5feSNTPcdJPcotJom5xPDTiNOvbSxbnp/UqOt3R/Nedesvh3k94/2scmve/ZMebeK7d/4B5PGG6K7imb6B6b/vfRPanknlxz78zZ7ze9b/SaTe64Sp0df/qzaJt3pc+kTXr90fHX7uvd2b7TPy/5vErPO4m235y919lxbtJrSo53U3PcSem1Tvst+b6V7q9kX0l6XbR9pOQYc9czd62jfQIA1DDcJEmSNG8WD0jSunkGSNK6eQZIWjXDTdJ8+b1kzQw33eSqxaI1i16j7UuMOPbS4yxd7LtJr88dX/rzaNt3NQuco+3P1HxOm3Q80b6Ae80+3HR2v8ndv97vp7X35M3ZfbnmHpq7d7Ye37sRx1v6DElKj/vsuI6M3He0XSTa9kx675bPrvR6lO47vS7a/l3tsabX5441/Xm07bto28iV13Mv2g8AQA3DTZIkSfNm8YAkrZtngCStm2eApFUz3CTNl99L1sxw001yC0ijbUqVLs4tXUj7bsSxlyygbVmYu8ntv2RQKNruXc8xln5OG8NNMKfZh5vOhmxK7mGlrztzdk+ueRbl7pu9x7kZcbylw001x5w7/3e112PEszOJtj1S8/lHcseclL5Hyb56vmO917fkO/WJ67kX7QMAoIbhJkmSpHmzeECS1s0zQJLWzTNA0qoZbpLmy+8la2a46Sa5xaPRNjVKF0C3LILtPfaSY+tZPLyJ9rvJnXfJAuIRx1j6OSWli8qBz5p9uOnsnj3iPlbi7BhqnkO5e+ao8xlxvFcNopwd217LvnPHXLrPaNtIyzFGSq5J7hla8jwe8f2K9rvJXY9om71PXs9NtD0AQA3DTZIkSfNm8YAkrZtngCStm2eApFUz3CTNl99L1sxw001yC0ejbWqVLKxOahfD9h577rhyC5BL5d4n2mYTvX5v1DEmJQuqk5HvCYzz5OGmT91Xzo6h5hn0bcNNLcdbst+k9VpE+9qUnnu07buaz73E2WeW5N4vd11H/azk3ifaJin53KPtWuWu5ybaFgCghuEmSZKkebN4QJLWzTNAktbNM0DSqhlukubL7yVrZrjpJrlFo9E2LUoXp+YW/e71Hnu0zV60TauzYz0659wC4pprVapk0fKohdXAWE8ebrrifhYZdQzfNtwUbVci2te7aLsSZ+eeRNu8i7Z7N+qz2oveZy/aZhO9fi/aplXL9yt67d4d1zOJtgMAqGG4SZIkad4sHpCkdfMMkKR18wyQtGqGm6T58nvJmhluusmIxcOlcu+1OVpQ+67n2HML00cP8JwtLj8639z5XbGAOHddEsNNMKfZh5tyQzal9/4eZ/fVmvfP3StH3Z9HHG/uuvfc08+OL+nZd+64o23eRdvt9RzfmdZrPvvvJrnjq/kZqpH7niXRdgAANQw3SZIkzZvFA5K0bp4BkrRungGSVs1wkzRffi9ZM8NNN8ktGI226VGyQDUpWSDbc+y5hcfRNr2i99nUvr7k+rRqXZQN3Gv24aYkuqe8u/Iec/bcqLmvGm76cXZ8Sc++c8cdbfMu2m5v1OcUid5vc/TZjTjnWtH7bN5fmzu+u65nEm0DAFDDcJMkSdK8WTwgSevmGSBJ6+YZIGnVDDdJ8+X3kjUz3HST3MLkaJteuffc5BZu9xz7Hecdvc/mfUFwbuF8z4LxnDvfG2j3hOGmmvv/Ffeas/dPfxZtE8ndJ0cNeYw43isHUs6OL+nZ94hrHG23F20zSu7ajNqmV/Q+m/drfMfxbe58bwBgDYabJEmS5s3iAUlaN88ASVo3zwBJq2a4SZovv5esmeGmm9y1WDT3vpv0umj7pOfYo9fvpX2PFr3P5n0R/5WL0UtE77kx3ARzesJwU25g5V26d46855zdi9OfRdtERgzelBhxvFc+T67c94hrHG23ufpZ1nJtotftpc98tOh9Nu/XKHrNJu1r/9rRctcz2gYAoIbhJkmSpHmzeECS1s0zQJLWzTNA0qoZbpLmy+8la2a46Sa5ha3RNqPk3ntztGC259ij19/pfQHx3Yt4o/fcvB8rMIcnDDcluaGVIyOGJ86eGzX7HzF4U2LE8V75PLly3yOucbTdZtRndKTl+KPX3en9eR+9ZnP17wZXftcAABLDTZIkSfNm8YAkrZtngCStm2eApFUz3CTNl99L1sxw003OFk4n0TYj5d5/Ey0Cbj323ILjO7wvUj87t/fXXuHs/a9ewAy0ecpwU9JzH+65B466t7YMrrQYcbxXDoVcue8R1zjabjPqMzoTve/m/VmaO9877L9jIz6PHrn3j7YBAKhhuEmSJGneLB6QpHXzDJCkdfMMkLRqhpuk+fJ7yZoZbrrJ2cLpJNpmtNwxbN4XzrYe++wLiJOzc3t/7RXOFqwbboI5PWm4aVN6/4+0DFOMurfmniMtxxYZcbyGm2LR60eL3ndjuKle9L6b6PUAADUMN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGm25ytnA6iba5Qu44NvvFs63HPvsC4uTs3N5fewXDTfA8TxxuStI9ufQZ8K72fjjq3vqpQY8Rx2u4KRa9frTofTeGm+pF77uJXg8AUMNwkyRJ0rxZPCBJ6+YZIEnr5hkgSZJmye8la2a46SZnC6eTaJsr1Czq3RbQth777AuIk7Nze3/tFQw3wfM8dbhpk+7Nuft6pOaeOOremnuObM+pXiOO13BTLHr9aNH7bgw31YvedxO9HgCghuEmSZKkebN4QJLWzTNAktbNM0CSJM2S30vWzHDTTc4WTifRNlepWdibXtt67DMs0M25csF4ibNra7gJ5vT04aZNusfk7u/vSu9LZ/tNfxZtE/nUc2TE8V75PLly3yOucbTd5upnfe3xjzjfq0XHtbn6d4Pc9Ym2AQCoYbhJkiRp3iwekKR18wyQpHXzDJAkSbPk95I1M9x0k9wC8mibK+UWr+71HHv0+s3VC3RLXLlgvMTZtZ3h+gC/9i3DTZvcffBdtI93I4aFkk8Noow43iufJ1fue8Q1jrbbXP0sazn+6HWbGZ690XFt7r6e0TYAADUMN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGm25ytnA6iba5Wm4Ba6lo35vo9ZsZFhC3LIoeKXrPzQzXB/i1bxtu2qR7TnQveldybzLc9GvRNqWu3PeIaxxtt7n6WZa7NtHxR6/bXH28JUb9/LS48rsGAJAYbpIkSZo3iwckad08AyRp3TwDJEnSLPm9ZM0MN93kbKFqEm3zCblFzSWi/W7uXKBbInf+Vy5yzi0gnmGBNfBr3zrctMk9r0ru3aPu/Z+6R0f73pQe75VDIVfuO3eNo+Ggd9F2m5rPu8XZdy2p3ebq4y3Rck6jRO+3F20DAFDDcJMkSdK8WTwgSevmGSBJ6+YZIEmSZsnvJWtmuOkmdy5UzekdcIr2uZn5vDfRce1F24yQuzaGm2BO3z7clET3pL1om72z+1v6s2ibI9E+Np8Ybip9D8NNx6JtRsgd+9FnN/vvJrnPu/Q7Wavk98FoOwCAGoabJEmS5s3iAUlaN88ASVo3zwBJkjRLfi9ZM8NNN5l9IW3PgFO0v81dC3TT9S7dd+4YSxZ2t4jea++qawP0WWG4qfe++KnhpiTapkbuXEc9S6JtSl2579zzv+QZGG23V/uZl2r9no76zGvV/G4SHdfmruuZRNsBANQw3CRJkjRvFg9I0rp5BkjSunkGSJKkWfJ7yZoZbrrJ2ULvJNrm03ILnI9E+9qLttmLtumxX5ybrntuYXbuvK9YRJz7PiRXLa4G+qww3JS7L+buq2f3uNp7au5+GW1TIzfQkTvXTW4/0Talrtx372edRNu9K72OpXLHnUTbbaLX70Xb9Kj93ST3vb/jeibRtgAANQw3SZIkzZvFA5K0bp4BkrRungGSJGmW/F6yZoabbnL14uxRShe37kX72cude/rzaLsWR8efe49om72Rg0al13jkewLjPG24qWUIInefyu3z7L5fe8/PDfa0nN9e7hkVbRO5cgDpyn33ftZJtN27kc/6JPe55Z6hue1HHu/RNT57j9xnnkTbtcpdj020LQBADcNNkiRJ82bxgCStm2eAJK2bZ4AkSZolv5esmeGmm+QWjUbb3CW30PldtI+9kv2VLJ7OKXmfo8XOJYuIP3WMm9zCbOAeTxhuSvea/X2t9n6SuydG2+ydPfNqh0ZK7pvRdiVy51lzrL3X7MyV+85d35JnX7RdpPazP5L7nSrJHXfJ96rk3HNK3ufo5zN67d4nr+cm2h4AoIbhJkmSpHmzeECS1s0zQJLWzTNAkiTNkt9L1sxw001yC0ejbe6UW0i9F23/bsRC5DMli4eTo/fo3b5E6XtsjhY7A/eaebgp3WeO7t81969o+71om72ze37LQEa0n72WfZbck2vuw7nnZrRNqSv3nbsOJd+baLsjLZ/VXu5aJKXvcfY93dT83Lwr+Y4lR+9Rcny917PkPfaifQAA1DDcJEmSNG8WD0jSunkGSNK6eQZIkqRZ8nvJmhluuklu8Wi0zd1KF7xG274rXeDbski3ZKFzklugXLqf9Lpo+zOl+95reR/gerMON5XcZ0oGNXL3/pJ709k+rrrP1+y39JkUbXskd4zRNqWu3HfuWpR8Z6LtzrR8B9Jx5L6bm5JjTkq/B1d9Z5PcsUbbvEvHV3rOm5rruRftCwCghuEmSZKkebN4QJLWzTNAktbNM0CSJM2S30vWzHDTTXILSKNtZlCy8DXaLlK60DdJr432sUmLcmv2V7owuWahb3r/3GLi9JqjfebeK3cNgHvM/F9uiu4l747uLaXDDtG27872k/4s2iYn2lfk7N58dk9+V3sPTq+P9rOJtil15b7TtYr2uck955JouxLps8hd5/T+ufPfG/257Y0+1pKfhdznszfieuZ+PqJ9AgDUMNwkSZI0bxYPSNK6eQZI0rp5BkiSpFnye8maGW66yZMXi4489ty+Immbveg1Z9I20bFEahYR77UcY+69cguUgXvMPNxUO1hRc89KSu9LZ/tMfxZtk1Nzbr1ajjF3fNE2pa7cd+5ZlP482m4v2m6Tjr3kO5Zesxe9JidtFx1fTsv77Y+1dfvoWCKt+9+LXvMuve7K7xoAQGK4SZIkad4sHpCkdfMMkKR18wyQJEmz5PeSNTPcdJPcwtJom5mcHX/0+jOli2xHSO8VHcOZ1gGnGtti8ejPNmmB8fuxAfebebgpueoeW3M/PTuGlvvy5qpze1cy0PPOcFNse5Zd/dn1fK+ST323kpZj/dT1M9wEAFzNcJMkSdK8WTwgSevmGSBJ6+YZIEmSZsnvJWtmuOkmuUWp0TazOTqH6LU5Vy/STbaFui2uHHDaLxSP/nxjuAnmNPtwU3LFPbZm4Ofs/XvuzcnVz4+a89wz3BTbP8uu+ux6v1Obq79bSc+xfuL6GW4CAK5muEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3HST3ILUaJsZRecRva7EVYt0k9bF6Xu5Bd8t3o8res3GcBPM6QnDTcnIe2ztPfXsvdOfRdvUuOr50fPsMNwUe3+Wjf7sRnyf9q76biU936/N1dfPcBMAcDXDTZIkSfNm8YAkrZtngCStm2eAJEmaJb+XrJnhppvkFqNG28zq/Vyi15RKC31HLtRNi3JHLB7eyy30LfG+eHgTvXbzviAcmMNThpuS3vvX0b0r5+y+3rrPdyPuzZt0TL3PjtzxRNuUunLf6byjfW5Krku03SZ6lo367EY/7zdpv2ff4VrpfEce66jji47pyu8aAEBiuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3HST3CLUaJuZ7c8n+vNavQt1Ry8cfpf23bIYO51T2i7aZxJtsznbDrjPk4abNi3315576tn7pT+LtmnRem/e5O7RNXLHEW1T6sp9p2sY7XNT8j2IttucXd/Wz27UZ5aTzr3lZ2eTjrPn5ygn7b/l+M6OK/eZRNsAANQw3CRJkjRvFg9I0rp5BkjSunkGSJKkWfJ7yZoZbmKYbUFt9Gc90sLa3ILd7TVXLho+kt7z7PjSP09/Hm0LPN8Th5s2270zun9t96477qsj5O7NSfoz9+jxomu9KbnW2+d29NmlP0/u/G5ux3D2/brzOLdjO7uGT/3ZBgC+i+EmSZKkebN4QJLWzTNAktbNM0CSJM2S30vWzHATw6RFsmnBbPRnAN/qycNNcIX3QZq9NFQTbQMAwJoMN0mSJM2bxQOStG6eAZK0bp4BkiRplvxesmaGmxjKfwUAWI3hJngVDTVtDDcBALBnuEmSJGneLB6QpHXzDJCkdfMMkCRJs+T3kjUz3AQAHQw3watoqGljuAkAgD3DTZIkSfP2X/yn/9e/+l3t7/9v/su/+8//k/9LAL7cf+wf+R97BgAsyjMAAJhF9HuJ4abvz3ATAHQw3ASvoqGmjeEmAAD2DDdJkiTN29/z5//yr35XAwAAAAC4y7/9N/7dP/23l/rWDDcBQAfDTfAqGmraGG4CAGDPcJMkSdK8GW4CAAAAAGZiuOn7M9wEAB0MN8GraKhpY7gJAIA9w02SJEnzZrgJAAAAAJiJ4abvz3ATAHQw3ASvoqGmjeEmAAD2DDdJkiTNm+EmAAAAAGAmhpu+P8NNANDBcBO8ioaaNoabAADYM9wkSZI0b4abAAAAAICZGG76/gw3AUAHw03wKhpq2hhuAgBgz3CTJEnSvBluAgAAAABmYrjp+zPcBAAdDDfBq2ioaWO4CQCAPcNNkiRJ82a4CQAAAACYieGm789wEwB0MNwEr6Khpo3hJgAA9gw3SZIkzZvhJgAAAABgJoabvj/DTQDQwXATvIqGmjaGmwAA2DPcJEmSNG//lX/+f/er39X+C//d//3v/tw/91sAvtzf9Y/9T4NnwL8evhaA7+IZAADM4j8e/F7y7/x7f/NP/+2lvjXDTQDQwXATvIqGmjaGmwAA2DPcJEmSNG//+F/61371u9pf+X/9zd/98b/1OwC+3D/wz3oGAKzKMwAAmEX0e4nhpu/PcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBK+ioaaN4SYAAPYMN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzQw3AUAHw00AAABtDDdJkiTNm+EmgHVZ2A6wLs8AAGAWhpvWzHATAHQw3AQAANDGcJMkSdK8GW4CWJeF7QDr8gwAAGZhuGnNDDcBQAfDTQAAAG0MN0mSJM2b4SaAdVnYDrAuzwAAYBaGm9bMcBMAdDDcBAAA0MZwkyRJ0rwZbgJYl4XtAOvyDAAAZmG4ac0MNwFAB8NNAAAAbQw3SZIkzZvhJoB1WdgOsC7PAABgFoab1sxwEwB0MNwEAADQxnCTJEnSvBluAliXhe0A6/IMAABmYbhpzZYZbvpn/jd/9Xf/1//fvwEAQ/1d/+X/wd96zvy3/n3pf0evAwAA4FX693Xv/w7PcJMkSdIcGW4CWJeF7QDr8gwAAGZhuGnNvnK46ff/8Le/+jIDAAAAAHNL/15PkiRJ92e4CWBdFrYDrMszAACYheGmNTPcBAAAAABMwXCTJEnSHBluAljXNy5s/4t/9Nu/7R/+C3/wu7/7z/7e737zm9/8SvrnSXpNtA+AFXzrcFPJMyD9uWdAme1aRn/2BOkzT9+J6M9m9/RrD1DDcNOaGW4CAAAAAKZguEmSJGmOZh9uSgvR3hcknkmLvzYWLQKc+6aF7el+Hz0XSnleAKv5pmfANtAU3d9zDI8c2/9dLF2npw0JpWPejv9pz/mrrv22z6fw8wnrMNy0ZoabAAAAAIApGG6SJEmao28bbjqTFkZZvA7wi29Y2D7yOZFYRAus4luGm3qHWzf+nvBrT75O0fdi5JDQ1d6PPRlx7aP9ziw6B+A7GW5as68cbvrjv/4nv/oy/9n/+v/qd//gf///AABD/Uf+3D/3t54z/9S/L/3v6HUAAAC8Sv++7v3f4aV/rydJkqT7W2m4ac/idYDnL2xP9/LoHj/CUxY/A7R6+jMg3adHPwf8HeEXZ9c2/dnMz8nc3yFnH9C68tpH+5yVgUNYi+GmNVtmuOn3/5U/Cb/4ANDjz/yjf/nleZP+d/Q6AAAAXqV/X7f/+1RiuEmSJGmOVh1u2lgwBazsqQvbr342bCxyB77Zk4ebrn4O9AyPfIOS6xttN4uz4aBk5r8DXn3to/3NyO9gsB7DTWtmuAkAOhhuAgAAaGO4SZIkad5WH25KLJwCVvXEhe2feC7seUYA38qA67n0PtH7f7uS6zvztckNNs38XP/EtY/2OaNVf/5gZYab1sxwEwB0MNwEAADQxnCTJEnSvBlu+mHxOrCiJy5szy1ajqRtNtGf53hGAN9olQHX/TOg9jmw4oBFdB32Zv6vHqVji455L9puFtHx7o249tF+Z+P3LliT4aY1M9wEAB0MNwEAALQx3CRJkjRvhpt+YREVsJqnLWwvWbS8Sa89W5Se/rxmkfuKC9yB7/bNA64lz4Bou3er/f0gd31nvh4lf2+c+Vn+qWsf7Xs20XED389w05oZbgKADoabAAAA2hhukiRJmrenDzelhYlH2yW1i9dnXrAHMNqTFraXLFpOau/jV+0XYHZPG24q+Z2+9l59xT6fquR5mF4TbTuD3Gc58+f49GtfIzq3vaO/3wPfz3DTmhluAoAOhpsAAADaGG6SJEmat28dboqU/n9o/5aFYwA5T1rYXnIP77l/lyxwt+AW+CbfNuDaOrxScv//9r8flFzfma+BwaZnePLnBFzPcNOaGW4CgA6GmwAAANoYbpIkSZq3lYabkrQ/i6oAfjxlYfunFv56PgAredJwU3RP3uu9P69+/4/OeW/m4d6S4edou1lEx7v3LYPVn/pdDnguw01rZrgJADoYbgIAAGhjuEmSJGneVhtu2kT72ou2Afg2T1nYnlu4PGrRecnC22g7gCf6lgHXUc+A3IDTtwyZvHvyYNfTB2aefO1rrXSuQBvDTWtmuAkAOhhuAgAAaGO4SZIkad5WHW66ar8AT/KUhe25BbEjFy7n3svzAfgWT3kGRPfivVHPgNzfD75x+CJ3zsnIZ+xoTx6Yefq1r5EbUk+i7YC1GG5aM8NNANDBcBMAAEAbw02SJEnztupwU3K2GO4bFy8CvPuWhe3RNj2i99h4PgDf4gnPgCv/LhDJDct804Dr04drcp/VzM/rp1/7WtH57RkcBxLDTWtmuAkAOhhuAgAAaGO4SZIkad5WHm5K20b73ETbAHwTC9tjZwumDTcB3+IJz4DoPrwXbdMrep/NNz0DDAfd58nXvtZK5wr0Mdy0ZoabAKCD4SYAAIA2hpskSZLmbeXhpty+o20AvskTFran+3xa+HrkisXLab/Rc2ETbQPwNLM/A678e8CZFf4fIOSec+nPo+1mkPteJFf8bjDKk699rad/VsBnGW5aM8NNANDBcBMAAEAbw02SJEnztvJwUxLtcxO9HuCbPGG46Q4rLGwHmP0ZkLsXXzkUEb3f5qqhqk95+sCJwaznWGmQC+hnuGnNDDcBQAfDTQAAAG0MN0mSJM2b4aZ4v8k3LSwDiBhuihluAlYw+zMguv9urh6KOBvKePJAxtOHa548LPP0a18r97vUk3+OgGsYblozw00A0MFwEwAAQBvDTZIkSfNmuCneb/JNi8sAIoabYoabgBXM/AzI/R3g6t/Tv/U5YDjoPk++9i2ic9zzd23gneGmNTPcBAAdDDcBAAC0MdwkSZI0b4ab4v0mFlwB385wU+xsUbv/0gDwLWZ+BuSGiz7xe3r0vpvev4PcITdck0TbzSD3d8Jk5s/kyde+xWqDXMAYhpvWzHATAHQw3AQAANDGcJMkSdK8rTzclNt3tA3ANzHcFIueCZsnLmgHiMz8DMgNR0TbjHZ2DE8bzigZDvrEwFirJw/LPP3a1yo532g7AMNNa2a4CQA6GG4CAABoY7hJkiRp3gw3xftNom0Avonhpl/LPRu+aQEysLaZnwHR/XfzqSHT9D7R+2+ibWZUMmwy87PNYNOz5D4vQ+LAEcNNa2a4CQA6GG4CAABoY7hJkiRp3lYebjpbsGjRFbACw02/9i2L2QFyZn0G5H7//9QwyLc8DwwH3efJ175F7mfm284XGMtw05oZbgKADoabAAAA2hhukiRJmreVh5ui/W1mXiQHMIrhple5Z45FucA3MdyUF73/5gn/zxBywyZJtN0souPdm/kzePq1bxGd456/YwNnDDetmeEmAOhguAkAAKCN4SZJkqR5W3W4KbffaJvR0jGk40+L5Y/+v3qnf55eM8tCsLPjne1YgTzDTb/IPRcS9zfgm8z6DEi/T0b34E20zVWi99+k44y2mcXTn2tHfz/apD+PtpvBir9TPPnzAuZguGnNDDcBQAfDTQAAAG0MN0mSJM3bisNNuX1eudAs7Tu38OvMiOGhs/ePFp21HvPsCz4Bw02b3HMhsSgX+DazPgNqf1e90kzHUqPkuZZek6Tf2aPzTP8sueN3+rPrnmzXfjv26PXbsadzfN//lZ5+7VuUnHO0HcCe4aY1M9wEAB0MNwEAALQx3CRJkjRvqw035faXFpFF240QLVxr1bPQ7ew43s9/xDGna77fJzCPlYebtkXF0X0r4l4GfJtZnwHRPXjz6WGPmt+bZ1LyO3zt7/np9Z94Fub+vpbUHnvyqe/Ok699q9z5fPrnFngmw01rZrgJADoYbgIAAGhjuEmSJGneVhluSvspWcR+xaKxkgV6rVqO92zxWfqzktfVuuK6Av1WGW7angFJy73NPQz4Roab8nJ/f4i2uVvJ33l67P++cIXoPUe68pn+9GvfInfOMx4zMCfDTWtmuAkAOhhuAgAAaGO4SZIkad6+dbgpbbctZo+2i1yx0G3kgNCR2uM+O6Zt8dkVx33F9QX6rDLc1HNPc+8CvpXhprzc3yWibe6UnlnRcV7hqX93Sra/84z09GvfKjq+Pb9HAaUMN62Z4SYA6GC4CQAAoI3hJkmSpHl7+nDTKE9enJfUHP/ZcaU/qxkIq3HFIkKgj+GmcxbkAt9sxmdA7nf/T9+XnzTclLt2Vxg5bPbJvzsl6f1GfZ+efu1b5T4zf/8DahhuWjPDTQDQwXATAABAG8NNkiRJ82a46ZqFYbXHnRZ+pePYq13gV7o4r3a/e2nbveg1Z0YtIATGMNwUS6+P9gPwTQw35c12PGdafjcfYcQzM3edrzTiM3zytW9V8plF2wEcMdy0ZoabAKCD4SYAAIA2hpskSZLmzXDTL9LisFELFKP9R0oGq9IxlSyYK13cVrv4ruS61HxO0fbAPQw3xUruewBPZ7gpb7bjOZI7zquV/J3mTO1zerTomEo9/dq3io5l767jAp7LcNOaGW4CgA6GmwAAANoYbpIkSZo3w02/lhbXRcdSqmRxXst7pAVi0b72ShZY1iwerF2wWbLv2n0C1zHcdK7lXg3wFIab8mY7nkjuGCPp7xVpu+j405+1PDdbr0Xte6XXb8f/vq/0z0r+zvSu9Xmf3i/a35mZrn2r3DG2Xk9gbYab1sxwEwB0MNwEAADQxnCTJEnSvBluOtaySKzkeHsWe5XsP9pur3TBXOsiudz+06K9aDvg8ww35f3/2fv/p2u3urDztLryY/8F01VT0z/0T52UsToaTOEXggoxSkkcezhRI4kNplGTECHJJG3J1LQOgpqgAk4aE0Mk6PhlFCKCIhyBBvEIxIAB0sFRQL4oFqkUYGKie846sO5zPfv57Gut6+te116vd9WrSs69ry/72vve130/z/r4WKAL3CrDTWWtnU9kyj3u0lDQJVMGhebcL0vXdyjtf8rvEWnfU67NnNfyyNd+rprXbM61BDDc1GeGmwBgAcNNAAAA8xhukiRJajfDTeOmLswqLXBbY+FZaaFb6ZxrFuEtOc/SazZlUSKwrV6Gm86lz6n0WVTzeZis8dkN0BrDTWWtnc+50vll6T625Fxr75dTf87far9Dtdcoiba/5OjXfq7S+aSvR9sBlBhu6jPDTQCwgOEmAACAeQw3SZIktdvRh5vSIq70mEvS15O0yKp2Ydi5tJ/o3CLR9kPRNnNE+85KC9tqrkO03RTRPoeibYD99TrcNJQ+42s+Fy3WBW5Nq/eA6DM422uAI0v3iOg8sim/J2xhz/tXzbGSaNtI6dpma1zj2mNNeX8d+drPla5PdNyhaDuAGoab+sxwEwAs0PpwU/RLY7b3H/BwO0p/OBFtQx3XFgDoieEmSZKkdruF4aZouzFpm9oFYlm0n3OlP/Obc66XlK7L2CLA0nNfYxGeP/+EYzDc9Kia+8Kan+MA12a4qazln2lrBnbW+Ll+aM17Zc2+xn6nmarmeiXRtueOfu3nio455OckYAnDTX1muAkAFjDcRI9a/sO6o3NtAYCeGG6SJElqtx6Hm4ZKf06X1SxOKy04i7ZZIjpGNrYQsHSea/ydgj//hGMw3HSvmoXD0XYAR2S4qazln2lL51bz+8sca90ro+2G1hxsymqGkmreY0e/9nOUjr3Vcwb6Ybipzww3AcAChpvoUct/WHd0ri0A0BPDTZIkSe3W+3BTVrNQrLTALtom2+LP6cf+jHHseKXnGm0zVel122KxIjCd4ab7lT4jt/g8B7iGVu8BY5/Dew9QjP28nUTb7CU6n6Gtft4u/ZyflO6Vpeu65etcus8n0XZD0TZDLV/7OWqOu9VzBvphuKnPDDcBwAKGm+hRy39Yd3SuLQDQE8NNkiRJ7Wa46VGlhW5ji+z2PM9s7M8Yx8619DyjbaYqXQ+L36ANhpti0edWNvb5CnAkhpvKWjqXoWv87jE0dl2S0vFL20fbrKV07ZJou+zo136O0jGv+b0A3A7DTX1muAkAFjDcRI/Seyd6T2XRNtRxbQGAnhhukiRJajfDTfeKjjEUbZOU/rwvSYu+1hYdJ4vOM5m73RSl1y19PdoO2Jfhptgen5MA19bqPaClv0ePjp+t/XvIFKVrtMfP2tFxs3QfjbbJom2y0rZrWHL9jn7tpyo93yTaDmAqw019ZrgJABYw3ESPSn9QEW1DHdcWAOiJ4SZJkqR2M9x0r9Kf2106Xmm7a4jOMxlbtL/WYrjS67bHoj+gzHDTZdFnV7b2vQfgGgw3jWv559nofIaibdY29jtFEm2TzP19a01LfseMHj8UbbO2udd+jmj/Q36vA9ZiuKnPDDcBwAKGm+hRK39weItcWwCgJ4abJEmS2s1w0/2i42SXhn9KC8yu4dJCs7FzvfT8piq9bhbBQRsMN10WfXZla31WAlxTy/eA6LM322v9S8s/z0bnk+11feaud2hlnUR07GzsGkaPz1q/9lOVfsf18xCwJsNNfWa4CQAWMNxEj1r5g6Vb5NoCAD0x3CRJktRuhpvuV1rENWeba7i04HLsXNdaoNbyYlDgUYabLtvjsxLgmo463LTXZ3Crf5/fys/Zpetzzd9FakTHzy6dx9Gv/RSl55pE2wHMZbipzww3AcAChpvoUat/YHcLXFsAoCeGmyRJktrNcNP95vzZ3dgivWu5tKhtjwWFpddtjQV3wHKGmy7z9zjArWv5HrDHz6sl0bGzLX4HqdXKz9lzz6OF1zaZcx5Hv/ZTjF2f5JrfA8BtMtzUZ4abrqR0oz+XHp+kHwCSvX7oAWCc4SZ6lN470Xsqi7ahjmsLAPTEcJMkSVK7GW66X+nP7qK/v536d8J7uPT3zGPnmr4WbTNV6XXzd+DQBsNNl/l7HODWtXwPuPZn8DV+B6nVys/Zc89jj99Fasw5j6Nf+1ql7789XyegH4ab+sxw05WM/SA0VfrBYa8fggC4l+EmenTtPzS8Za4tANATw02SJEntZrjpfqU/u4v+vnbO4rhr2eNct15wB6zDcNNl/h4HuHWt3wOiz95si98Bhub8PrCXa/x+FJn7835pLW20zRbm/E509GtfK9rn0NL9A0QMN/WZ4aYrKf1ANpcfEgD2ZbiJHpX+0C7ahjquLQDQE8NNkiRJ7Wa46X6lP7uL/p72SH/eN2ch31Sl183fdUMbDDdd5u9xgFvX+j1gj59ZL4mOORRts6fonLItfj+KzL1PtnJ/jY6djV3D6PFZ69e+Rmmt89bfe0C/DDf1meGmKynd8JdI+/YHvwD7MNxEj1r5g6Vb5NoCAD0x3CRJktRuhpvuV/r7XcNNZYab4BiOsLD9kq3//jMdI/r8yqJtAI6k9XtA6efrrX6evMbvH1ON3aPS16Jt1jb3959Wfk+Ijp2NvcZHvvYlpdcmibYDWIPhpj4z3HQlpT/wWMNeP9QB9MxwEz3a6g9FcG0BgL4YbpIkSWo3w033i44zFG3TyiK9GnssyDvS9YCetb6wPfr8yLZeQBwdM9tr8TLAllq/ByTRZ3C21Wdx6e/xW/g5duzn+STaZm3RcbOx39FKvyds8fvduSVrNY587UtKz22P1wbol+GmPjPcdCWlm/5a/AEwwLYMN9GjJX+owzjXFgDoieEmSZKkdjPcdK/S8S4tomxhkV6tsb+/vvT8pipdD3+3DW1ofWF7ab1NtM0ajvSZDjDXEYab9r4PzP1dYG+ltQZb36dKxy/9rB9tMxRts6bomFnpNT76tb+ktN9W3vvA7TLc1GeGm66k9EP2mvwhMMB2DDfRo9IfYETbUMe1BQB6YrhJkiSp3Qw33Ss6xtDY8aLHD0XbLJXOJ5ny98Rjf3+91qK10uvm77WhDUcfblr7HpCl/UbHy3yGAbfgCMNNpc/jtQcuSvedlj7/o/MbirZZS3S8oWibodLrutX9PVnj2NF2Q9E2a4mONxRtUyPa15CffYCtGW7qM8NNV1L6oTfaJv0wkJV+oDrnBwmAbRhuokeln0Oibajj2gIAPTHcJEmS1G6Gmx5V8/eyY38XW9p+zXPN5ux/7O+v11ogWnrd/J02tKH1he2lz9W1F7Unpc+vJNoO4GiOMNyU7DVwdLTP/9J12eIemZSOW/M7Sc213uL3hbVe4yNf+8i1ng/AkOGmPjPcdCWlm3+0TST9cFXaV+KHCYBtGG6iR6W/NIq2oY5rCwD0xHCTJElSuxlu+rSahW5JtG1Ws4/0mGjbOS793XHpGGN/57zW3zWXrsWa1wGY7wgL26PPkKG1/x60tC7H37sCt+Iow02lv1dPou2mivY71OLPr9F5Dq29jrTmtai9Tmvuq1Z0jKEp1yvafqjlaz+Uton2NRRtB7A2w019ZrjpSkp/8BFtM+YaP9gBYLiJPpV+7oi2oY5rCwD0xHCTJElSuxluKv99blbzd7Clfa21yK3mnKPtkrFt1zq/0uvm77OhDUdY2F7zebfWZ8qexwK4tqMMNyWlz+elP8Nuvf+t1Ny31jr3mjWrU343K/2+kK1x3037qLlW0baXHPnaD5Wexxq/bwPUMNzUZ4abrqT0A0C0TUnpBxY/VACsz3ATPSr9zBFtQx3XFgDoieEmSZKkdut1uCntt/RndEO1C9NqFuktXeRW+vvnZOwYY9svPbesdB3S16PtgH0dZWF79Dlybunfhy79bAU4miMNN231M3bab83n/1o/u6b9pPtVtsZ+o/M9t/T+VXONkmjbMbW/jy25TmnbaJ/n5vwcEe3nXKvXPild/6XnDjCF4aY+M9x0JaUfMKJtamy1XwBihpvoUekPM6JtqOPaAgA9MdwkSZLUbr0MN6X9JKU/l7tkyoK62gVoU/aZpMfX7Lu0CG1sH6Vta6VzjfafTX3uwDaOsrC99nM1PW7OZ2u0r4jPLuCWHGm4Kam9F9R+Vtd+/q+13ubS8Zb+/D3lPjb1uUz53WnuPXKre3x67JR9R/soOfq1j/Y1NHe/AHMYbuozw01XUvohKdqmRumHIz9cAKzLcBM9Kv2BSbQNdVxbAKAnhpskSZLa7ejDTXuY8/eu0X4iNYv00p8l1i7MS0r7G9vX3IV950qv25xrCqzvSAvbp3wOpseO/f1o+gwqfU6d8/etwK052nBTUnsvuHQfSJ/9pb+nH9rrZ+Olx5l6Txu7PlOvUbL0Hln7umbpeOk8z/eTz33q/s73M8VRr33pGqWvR9sBbMVwU58ZbrqS0g8C0Ta1ov1lc39wASBmuIkelf7gJNqGOq4tANATw02SJEntZrhpXDp+dF4lc887/d3yUPSYMTXnO7bf9LVom6lKz3/udQXWdaSF7XM/V5Mln6vJWp+NAC054nBTEn1Ob2Wtn1mjfZ+Ltpti7j1uqTXukUvu8Uut8Rof7drXXO9oO4AtGW7qM8NNV1L64SXaptbYvi1kB1iX4SZ6ZABnO64tANATw02SJEntZrjpsqUL3fY+99rzHfs75rkL5M6VnvvSawus42gL2/f+XE3W+lwEaM1Rh5v2uhes9fNq7fmusa6ntAZhbWveI9N1Gvs9ZQtrvcbJka596Tqv8V4EmMpwU58ZbrqS0g8D0Ta1xn4o8kMGwLoMN9Gj0h/ARNtQx7UFAHpiuEmSJKndDDfdb80/U9/r/KcszBv7++sli+SGSs97zYWEwHxHXNiePj9K63DW4u9YgVt21OGmZOufsdf8WbX2XNe652x9bbKt7pF73OPTMdZ8jbMjXPu0bbTPbK3fBwGmMtzUZ4abrqT0A1e0Ta2xHzb8oAGwLsNN9Kj0BxvRNtRxbQGAnhhukiRJajfDTY9Kf2Z3tEVuc/5OeOzvr9f6O+bSc97iOgPTHXlhe2ktzlI+p4Bbd+R7QLb2vWCtn4XPRcc6t/Z9Z8v75Nb3yNLvEkts9RoPtXztS+tU/PwDXIvhpj4z3HQlpR9Wom1qjf2wsccPYgA9MdxEjwzgbMe1BQB6YrhJkiSp3Xofbkp/TrfXn6GX/kxwivR3wXPPe+zvr9f6O+bS62bRHLTh6Avb02dJaU3OVHvdEwCu7RaGm5K1fsbe8vO/5l4VbbfU2vfJve+Ra722SboOe/4O0vK1v3Ru6b9FjwfYg+GmPjPcdCWlH1KibWqN/QDnhw2AdRluokelPyyKtqGOawsA9MRwkyRJUrv1NNyU/v40/blcsufCtnOlPxsck59DtN9aY39/vdbfMZdet2tef+BRt7Kw/dIi3Sl8LgG9uZV7QDb3Z+y9fjcYu09tffyl98mlv38stfT3p2ve41u+9unchseKHgOwF8NNfWa46UpKP5xE29Qa2/e1f6gEuDWGm+hR6Q+Jom2o49oCAD0x3CRJktRurQ833bK0mCz9OeHYnxWmvw/Oj4n2AbDErS1sT/Jna/r8jNbU5P+eHnPNxc4A13aL94Ak/+w8dh+41j0gn1c+l2ucx5Tr09p9Mp3P8Pyjcx+ef7SPaxqe+6Xzz+e+5/nn84q+BrAXw019ZrjpSqIfRIaibWqN7dsPHADrMtxEj9J7J3pPZdE21HFtAYCeGG6SJElqN8NNAP261YXtAJS5BwAArTDc1GeGm65ky+GmaH9Z9HgA5jPcRI8M4GzHtQUAemK4SZIkqd0MNwH0y8J2gH65BwAArTDc1GeGm65kq+GmsQWx6ZjRNgDMZ7iJvaTXq5V/ItsAznZcWwCgJ4abJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa46Uq2Gm4a2+8ei9jTout0nHQel84l/ffWFmhfOt/WzhVoz60PNw0/18+3z5+dNfvZWjqHfJ7RuebzTY856md6K9c6SecRXeMs2maJ9JqNvReT/Npf4xrlc7t0XfJ51ZzbpX1k0TYAAEdluEmSJKndDDcB9MvCdoB+uQcAAK0w3NRnhpuu5NLC3CzapmRsn+lr0TZrSAt6S89nTFrEu3Sh+dTnPvecaxYlA3251eGm0oBFJH2u7vk5ea37T7SvoS2uQTrPvP/o60uVruP5vbT0/hg+dok578Nsj/fj8HWZYuy89rq2AAAtMNwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNV1JaRBxtM6a0vzmLt2uUjjvFkgXIY+eRvlb72FpbXU/geG5tuGnusMa5LT8n077XvP8kU863NHySRNstMXy+S+6XlwzPPXJ+fbYewFnrfZika7f2+3Gt92B0XltfWwCAlhhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhpispLYiNtomkBbClfaWvR9suseai43NzFiCPXYPh8y9dqynWXigNHNMtDTet+RmZbHH/Wfsch6acb7T90Nr3iPP9R4+Zq3RNo+uy5QDOVq/xlNd3TOm5T3V+XoabAICeGG6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmKykt3I22SdJi6ZqBpmythbxDtcdeYuqi8LFzytdgi/M24ATcynDTVp/t+TN4qfR5G+1/CzWf7TUDLtF2c0THWvP+c77vc9GxthjA2eM1Xvp+3OP7ZItrCwDQKsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcdCVbLY4dWmtB+dAe551NWbg9dl7pazWL0OfY4hoDx3ILw01bf7Yv/azcY+jlXM09KNpuaMp9bEy077XuP6X746XjrD2As+drPPfa7fV9YrgJAOiJ4SZJkqR2M9wE0C8L2wH65R4AALTCcFOfGW66kj0WyK61qDqbuvA4nUNaoDs09XnXPocl1zNtOxQ9Zsza1xk4lqMPNyXR14bOPyfnfFambaLzK9lz6OVc6fO9dO3mPuehsWOscf+J9jt06Ril5x5tM2bqeyq/d7Op78upr03p+V6Sz6v2/PLzib6WRecHAHBUhpskSZLazXATQL8sbAfol3sAANAKw019ZrjpSmoWuK4lLZKNzmGqaN+RmuOlxdI11yA9Jtr+3NTrmR5fWhSevh5tG4m2B/pw5OGmsc/O9Fle+pxMj5ny+Vv7mZ5N+RxO0v4vnXf6b+lr0XZjStcg2maotH1J6TWKtqlVuh5jr1dp22ibS2pfl3Q+Ndezdn+1r016XLR9pOYc0/mNva5jX0uifQIAHJXhJkmSpHYz3ATQLwvbAfrlHgAAtMJwU58ZbrqS0sLVLSxZYF1zvukx0bZjahYg15z3lOs59TrU7HvJtQWO7cjDTZH0mTfnM632c3jKvmv3OfWc02Nr951E+8hK97H09Wi7Guk8o30ORdvVKl2DsWtaet7RNpGa55hMeX2Tmtc4fT3a9ly0bWTqOSZT3odZtB8AgKMy3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw01XMmcx6xpqF/IO1Sw8nrPfrGb/0XZDtddzzsLjpLT/JYvXgWO7peGmJZ/lSc1nce0xtv5cT2ruP0npMz7aZmire08y9/5TGk4qvU5rDTfVPMclr3Fp/6XrV3qeSelaldRcg6FoHwAAR2W4SZIkqd0MNwH0y8J2gH65BwAArTDc1GeGm65k6kLWNU1dhFs616WLepPS4uHSwuaa67nkPEsL4EuLo4HbdSvDTWt8lic1n8elz8zaoaMlQy/ZGscq3cPm3iOifUWibUtKr1Pp2paec7TNuZprv8ZrHO03K73vo22G9vy+yaLtAQCOynCTJElSuxluAuiXhe0A/XIPAABaYbipzww3XUnNouIxaVFxMmUx7NCUxbjR9kPRNnNE+85KC8NrrkO03RTRPoeibYDbdwvDTVPuCTVKn8ml49V8pqd7YbTtHGlf0TGGSuccbTMUbTOmNDw0NPValJ5vzfthjeGm0j5K9/5ac8+15jWItpur5n2fRNsCAByV4SZJkqR2M9wE0C8L2wH65R4AALTCcFOfGW66ktIC1mibMXngKdrXJTWLhkv7rNlHrdJi67HF26XrWbNQu6R0LaJtgNt3C8NNU4djakTHGYq2yaLHD21xvqV7UDJ23LXvl9E+Lpl6jyvdM2vOdY17YrTdULTNXGPP+dL1ix47dI3vmyTaDgDgqAw3SZIktZvhJoB+WdgO0C/3AACgFYab+sxw05WUFhZH29RKi21L+89KC3O3PM9IdIxs7FxL5zl1UXlkjYXcwO05+nDTGp+PkdJn5qXjlra7NIiyhiX3knSPirYZiraLlK5BpHbQpnSetde3dI7RNkOl8xi71nOMnW/0nNe6TlOV3oNJtB0AwFEZbpIkSWo3w00A/bKwHaBf7gEAQCsMN/WZ4aYrKS1ejbaZqmahdWlxbrRNtvbC42Rs8fHY8Vq4nunr0XbAbTv6cNOWn13R8bJL9589Ps8vqblvRttlY/ewpPZal65BpPaeXNp37X5KzzXaZmjp9nNEx8nOH7vWazlHdLyhaBsAgKMy3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw01Xstfi7ZqF2pcW6Ja2rV0APcXYYuJLC+GTPa5n6XpsudAZaNfRh5uibdYy57M5elw2dh9Yy5KhltJ9Iom2Gxrbxxr3umi7bMr1XTqctMd9+1x0nOz8db3G+WXXPDYAwN4MN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOV7LlwtbQA+dKQUmm7JD2PtUXHyaLzTOZuN0Vp0frYgnfgdh15uOnS5/9apg7AzL1frWnpZ33pOZS2H7ufpW3Hzm/JvpMp13fqa3su2mYo/0ywpug42flzjx6TpX0NH7u2pdcWAOBIDDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHDTlZQW2UbbLBEdYyjaprS49hqi80zGrudai5DHFpQnpUXlwG068nDT1p9bUz83WxnqiI6dnQ/BnCs959I9KdomGW4XfT0b7utc9Phs6r1y6WsVbXNN569r9Jis9B5YqpXvAwCAPRhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhpisZG8ZJom2WKC2UjRa4l87xGi4txB8716kLti+Zukgf6IPhpnHRcbPzIZG9742XRMfOagZb5txzS9sNjzv2uDn7Tob7r1HaX7RNVrqfXsPwZ4XS+W39fVM6frQNAMBRGW6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmK9l7AXdpoWy0qLl0jtdwaUHx2LkOFywvce3FzkCbjjzcFD1+bdFxs/N7zx6f5TWWnkfpfnFpH9Fjs+HjxvZ/aUgpemw259oabrr/ea0pOm4WPR4A4KgMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOVjC2cTqJtloqOkxluKmthsTPQHsNN46LjZrc63JSUhn/O7xljj4/u0WOPn7LvJNp/SWmf0TZZ6X56DcPXtYX7fXTcLHo8AMBRGW6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmKxlbOJ1E2ywVHSeLFmuXzvEaLi0oHjvX6LnN0cJiZ6A9hpvGRcfNzodq9vgsr7HGeZTuGVOe+/Bx2dj+97iuhpvuf15rio6bRY8HADgqw02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9x0JWMLjZNom6Wi42TR4uYtFkNvZY9zbWGxM9CeIw83bf25NfVzc8nAzJqiY2dT7iml55Of/9h1Gjte9PgsP6Z0DueDULW2HG46f19cQ3Re2dxrVqt0faJtAACOynCTJElSuxluAuiXhe0A/XIPAABaYbipzww3XcnYME4SbbNUdJwsWjy9ZOHy3sau55SF6GOOsBgb2N+Rh5uuPaRx/rnZyn0nOnY25ZqVnn/e19g97HyfQ2P7z9d2q/vj0tcq2ibb+n1ZIzqvbOvzK71vom0AAI7KcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDddydhi4yTaZonSQtlogfPShct72mrx9lDpGuaF5EBfDDddVrqPnH9utvA5Wzrnqdes5l4a/fek5v4VbZeVrueS17/meY2JtsmWnNda9vi54pKl1xYA4EgMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOVjC2aTaJtligtlI0WErewyLzWHouQj3Q9gP0cebhp6yGNqfe6LYdxaq19fy49pzE1z3fs/r7lvbH0c0W0zdCW57aGtd8HU0THG4q2AQA4KsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcdCV7L5otHS8azGlhkXmtPRZJl65HdA2B23fk4aYk2mYNc+8h0WOHtv6sjY6Zzb2flAaBIlOOFW1fsvQevuVwUxJts6fS81t6/S4pfd8k0XYAAEdluEmSJKndDDcB9MvCdoB+uQcAAK0w3NRnhpuuZM9FvTWLqqPtkuixQ9E2S6XzTaYsYB+7nnMXo58rLTjeesE90KajDzet9Rl5bu5wSGm7rc43Kd2bL51zSc3Ayrkpxypds3NrXMPSMaNthkrbz73WJem51+47Oq/sWt83SbQdAMBRGW6SJElqN8NNAP2ysB2gX+4BAEArDDf1meGmKyktoI62mSva/9DYAt1rLD6es/+x67nWAmTDTUDk6MNNydqfXzXDPJeOuWTbJWqOG21Xq2ZoZSjaxyU15z60xr279Hyibc5F2w1F2ywxPOf0s0HpfVT6WW3t92Ht6xhtCwBwVIabJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa46UpKC2ajbeYoHScZW+Rcs9B2zcW9l853yQLk9LVom6lK12LN6wAcxy0MN631OZmV7j2l4ZrS9sman7mlz/dk6TWqOUY2Z/io5pola73Waww3lc55rXNNLl3/sWOUnmMSbTdX7WsYbQsAcFSGmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muOlKSgtYo22mqF1EXbNwuHSuNfuoUbOoN9ouGdt2rfMrXdP09Wg74LbdwnBTsudneenzsvYetsbn7p7HqhmWSaJtS2qfx5zBqcgaw00157zXa3zpukSPHdrz+yaLtgcAOCrDTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3HQlpUWs0TY10uLcKQtkaxYN1ywKXrq4t+acx44xtv3Sc8tK12GNBdjA8dzKcFOy9POyZnin9hg1+0qWfPbWHmOv+0iy5FjR/s5F281RunbRNpH0fKPth5a8xjXXPLl0jJrzW/r+qDnGULQPAICjMtwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNV1JayBptE0mLcacONGVTFuPW7n/qAuT0+Jp9l851bB9TnueY0gLpqc8duA23NNyUzPnMrP0sT6Z8VkbbR9Kxp+x3yvmudQ/JSsddci8pDRylr0fbzbHWcFN6vtH25+a8DqVzzErXPNrm3NT3YDLlfTgU7QsA4KgMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcNOVzFnMuqY5i4Sj/URqFvhOHcgq7W9sX3OeaySdQ7T/bOqiZuA23NpwU5Y+O0vDMOlzr3aAJCnt71zpczeSjhF9HudznXLvSdb+bB97Tmvcr6L9ZtHj5yq97tE2l6z5Hsqvc7RtpOaaj71m59b4vim9R6N9AgAcleEmSZKkdjPcBNAvC9sB+uUeAAC0wnBTnxluupKpi6vXNHfx9JTFvUPpeEPRY8ak40bnMzS23/S1aJupSs+/5jyB23Pk4aY0YFHzuZw/v7PoMSVpu+j8Subee9aw1ef6pWtYGoqpcWloZo19D40N5yTRNmPmvK/y+zGLHjMmbROdS2Tu/oeix5xLj1v72gIAtMxwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MN11J7SLXtaXjRudTa+9F5rULy8eu59LnnJWe+1aL4IG2HX24KT1m63vS0e49yZaf6dHz2fpeFT12iS0GcLZ+Hw7Nud57fZ8YbgIAemK4SZIkqd0MNwH0y8J2gH65BwAArTDc1GeGm65kzwW8STreWgu191pkPuV8x65nXiy8VOl5r3V9gWO5heGmZKv70l6fwWva4/P8/HoPX4ulzodj1tx3ttUAzlbvw6El78k9vk+2urYAAC0y3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw01Xssfi3SQdZ4tFzVsuMp+z6Hjses7ZX8RwExC5leGmZO1701qfv0Nrn+PQFud7yfk9JXrMXFvuO9tyAGfL13iNe/XW3yeGmwCAnhhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhpivZenF2Whi7x7BNaQHuFPm8o+OUjF3P80XDc50vFj+3x/UG2nNLw03JWp/rW34mlj6Pp0r3iWt8hud711r3qaH83ObeV0tK75NomynS6zF2b58qne+ar/Fa5xed09bXFgCgJYabJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa46UrWWrCb9pOkhbBbLWCuUVqIOyaff7TfWmPXM30t2maqtAA52n+25qJp4Dhubbgpm/u5vue9KH3uLr3/XPOzO99Xoq8tteW+k9J1j7aZIz2PsXt8STrPLV/jtP855zd2XntdWwCAFhhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhJlaVFuqmRbljC3PTIuD8mGgfAEfS+nDTUumzOn1uXxrgyJ/nWw6Q1Mj3n0vnmZ9DPt9oH9eQzin672to6XmuIb92l17jJD/mGu/HfG6Xzu9a5wUA0DLDTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQAC9z6cBMAAMBWDDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmwAAAOYx3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw00AsIDhJgAAgHkMN0mSJLXb337JL933s9oDP/DG09e/+H8H4Mb993/jnwf3gDeEjwXgtrgHAACtiH4uMdx0+xluAoAFDDcBAADMY7hJkiSp3T7vmff+2TcAAAAAwDV99OOf/MyfXupWM9wEAAsYbgIAAJjHcJMkSVK7GW4CAAAAAFpiuOn2M9wEAAsYbgIAAJjHcJMkSVK7GW4CAAAAAFpiuOn2M9wEAAsYbgIAAJjHcJMkSVK7GW4CAAAAAFpiuOn2M9wEAAsYbgIAAJjHcJMkSVK7PfufvO6+n9X+3XsePH3o//cGAG7cM/7hS90DADrlHgAAtCL6ueQTf/CHn/nTS91qhpsAYAHDTQAAAPMYbpIkSWq3aLjpEx958+n08bcCcOOe/eKXuQcAdMo9AABoRfhzieGmm89wEwAsYLgJAABgHsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcBAALGG4CAACYx3CTJElSuxluAujXrS5s/+OPveX0iV//mdNHXvlDp9980XNO//rv//XTO/7mU08PPf0pp7d87Ved3vTkJ5wefOIXnV77hY85vfpz//Qj0v+d/lv6WnpMemzaJm2b9pH2lfaZ9h0dE+BoDDcBAK0w3NRnhpsAYAHDTQAAAPMYbpIkSWo3w00A/bqFhe1/+NuvO33kFS8+vfu7vu30tmd83ekNX/n408//6T+5qXSMdKx0zHTsdA7RuQG0zHATANAKw019ZrgJABYw3AQAADCP4SZJkqR2M9wE0K8jLmz/Lx9+w+l3X/2S03ue+6zTmx94Ujh8dA3pXNI5pXNL5xidO0BLDDcBAK0w3NRnhpsAYAHDTQAAAPMYbpIkSWo3w00A/TrKwvb/+L5fPP3WD3/n6Ve+/snhYFGL0rmmc07nHj0ngGsz3AQAtMJwU58ZbgKABQw3AQAAzGO4SZIkqd0MNwH0q/WF7R/+6R88vf1b/0o4PHQk6Tl86Kd+IHyOANdiuAkAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLoV4sL23//wZee3vXt33J67Rd8XjgodGTpOaXnlp5j9NwB9mS4CQBoheGmPjPcBAALGG4CAACYx3CTJElSuxluAuhXSwvbf+8XXnJ66GkPhENBt+ihpz3l9LuveUl4LQD2YLgJAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6FcLC9s/+sofOr31qV8dDgD1ID33dA2iawOwJcNNAEArDDf1meEmAFjAcBMAAMA8hpskSZLazXATQL+uubD9Qz/1/ae3/OUnhQM/PXrLA0965JpE1wpgC4abAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5dY2H7v/+VHz899PSnhAM+/MlHrk26RtG1A1iT4SYAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgX3subP/j33vz6T3PfVY40MP90rVK1yy6lgBrMNwEALTCcFOfGW4CgAUMNwEAAMxjuEmSJKndDDcB9Guvhe2/8xMvOD34xC8Kh3i4LF2zdO2iawqwlOEmAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF9bL2z/1HtfdXrbN39dOLhDvXQN07WMrjHAXIabAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5tubD9I6948emXvvjzw2Edpnvd4z7/kWsaXWuAOQw3AQCtMNzUZ4abAGABw00AAADzGG6SJElqN8NNAP3aamH7v/2evxcO6Ozp1X/ms09vevITTm//G99weu93/53TB1/+faffe80Pnz7+pped/sPbf/r0yX/zc6f/9FuvPf3RR9/0iPR/f+rdrzr9h7f99COPSY9N26Rt0z7e+FVf9sg+o2PtKV3b6JoDTGW4CQBoheGmPjPcBAALGG4CAACYx3CTJElSuxluAujX2gvbP/WeV50eevpTwqGcrf3yVzz+9K7/5ZtPv/MTLzh94p2vCM9vDWnf6RjpWOmY0blsLV3jdK2j8wOoZbgJAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6NeaC9s//LMvOr32Cx8TDuNs4TWf+zmnX3/2004feNn3nj75rleG57SHdOx0Dulc0jlF57qFX/qiz3/kmkfnBFDDcBMA0ArDTX1muAkAFjDcBAAAMI/hJkmSpHYz3ATQr7UWtr//pc8PB3C28NDTHjh98OXfe/qjj74pPJdrSueUzi2dY3TuW0jXPjoXgBLDTQBAKww39ZnhJgBYwHATAADAPIabJEmS2s1wE0C/1ljY/r4Xfkc4dLOmX/6Kxz98nOecPvXunwvPoUXpXNM5p3OPntOa0nGicwAYY7gJAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6NfShe3vfd6zw2GbtbzpLz3x9IGXfU947CNJzyE9l+g5riW9FtGxAS4x3AQAtMJwU58ZbgKABQw3AQAAzGO4SZIkqd0MNwH0a8nC9nd9+zPCIZs1vPmBJ50+9JPfHx73yNJzSs8tes5rSK9JdFyAiOEmAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF9zF7a/4289NRyuWer1X/oFpw/+2PeFx7wl6Tmm5xpdg6XSaxMdE+Cc4SYAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgX3MWtm/1Lza9+7v+9umPPvqm8Ji3KD3X9Jyja7GUf8EJqGG4CQBoheGmPjPcBAALGG4CAACYx3CTJElSuxluAujX1IXt733es8NhmiV+9a99zenjb355eLwepOeerkF0bZZIr1V0PIDMcBMA0ArDTX1muAkAFjDcBAAAMI/hJkmSpHYz3ATQrykL29/3wueEQzRLvO+F3xEeq0fpWkTXaAnXFxhjuAkAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLoV+3C9ve/9Pnh8MxcD/6Fx50+9tp/et9xepeuSbo20TWbK7120bEADDcBAK0w3NRnhpsAYAHDTQAAAPMYbpIkSWo3w00A/apZ2P7hn31RODQz1zue+VdP//kDr7/nGDwqXZt0jaJrN1d6DaNjAX0z3AQAtMJwU58ZbgKABQw3AQAAzGO4SZIkqd0MNwH0q7Sw/Q/e86rTa7/wMeHAzBy/9k0P3HN8Lnvo4WsVXcM50mv4qYdfy+g4QL8MNwEArTDc1GeGmwBgAcNNAAAA8xhukiRJajfDTQD9Ki1sf+jpTwmHZeb4wI8+/55jU/b+f/688FrOkV7L6BhAvww3AQCtMNzUZ4abAGABw00AAADzGG6SJElqN8NNAP0aW9j+3uf/3XBIZqpXf86fOn3kZ19037Gpk65duobRtZ3q337P3wuPAfTJcBMA0ArDTX1muAkAFjDcBAAAMI/hJkmSpHYz3ATQr0sL2z/yiheHwzFTvfYL/+zpY7/0I+Gxqff7D1/DdC2jazxVem2jYwD9MdwEALTCcFOfGW4CgAUMNwEAAMxjuEmSJKndDDcB9CtaQPaxd/7L0y998eeHgzFTpGGcD/3kC8LjMl26lmsMOKXX9lPvfVV4DKAvhpsAgFYYbuozw00AsIDhJgAAgHkMN0mSJLWb4SaAfkULyH71f/7acChmild/zp965F8bio7JfOlfwUrXNrrmU7ztm78u3D/QF8NNAEArDDf1meEmAFjAcBMAAMA8hpskSZLazXATQL/OF5A97nHfFA7DTPWRn31ReDyWS9c2uuZT/c5P+Fe1oHeGmwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+DReQ/Ym/+J2nH/kf/mw4CDPF+//588JjsZ4P/Ojzw2s/xYNP/KLTH/+e+z30zHATANAKw019ZrgJABYw3AQAADCP4SZJkqR2M9wE0K/hArJvfOz/GA7BTPHQNz0QHof1/drD1zp6DaZ4z3OfFe4b6IPhJgCgFYab+qyb4aa//iO/dvrBN34UAFb1f/7G/+30WV/+8L3mM9L/jh4HAADAvdKf153/GZ7hJkmSpDYy3ATQr7yA7L/7smeFwy9TvOOZfzU8Btv5Vw9f8+i1mOLf/8qPh/sGbp/hJgCgFYab+uwmh5u+42VvvO/NDAAAAAC0Lf25niRJkq7fLQw3PeHxjwn/e2ve+PP/+PTdz/mW8GsA15AXkP2vj/mycPCl1oN/4XGn//yB14fHYDt/+P7Xnx788seFr0mth57+lHDfwO0z3AQAtMJwU58ZbgIAAAAAmmC4SZIkqY1uYbjpsz7rs8L/3po02GS4CWhJWkD2xX/+m8Khlyk+9tp/Gu6f7aVrH70mU3zop74/3Ddw2ww3AQCtMNzUZ4abAAAAAIAmGG6SJElqo6MPN6V/DSkNNx1haCid51H+lSmgD2kB2T/83C8OB15qve+F3xHuey/5PjBHtL8j+s0XPid8bWq95S8/KdwvcNtuYbjJPQAAboPhpj4z3AQAAAAANMFwkyRJUhsdfbgpDTWlxYmtDw0NF15GXwe4huf93e8Ih11q/epf+5pwv3vKn61zRPs7qvRaRK9RrY++8ofC/QK36xaGm6LP9lrR/gCA6zDc1Gc3Odz0L3/13933Zv7af/hjp//HT74KAFb133zDP3r4PvNdd9L/jh4HAADAvdKf153/GV76cz1JkiRdv1sZbkpa/tebLKQEWvQvvvzLw0GXWh9/88vD/e5leA+YI9rnUaXXInqNar31qV8d7he4XUcfbnIPAIDbYbipz7oZbvqh17/+9J6P/xsAWNWf+tYX33O/Sf87ehwAAAD3Sn9eN/x9KjHcJEmS1EZHH24aLlBs9V9vGv6rTUnLQ1hAP373NS8Jh1xqvfu7/na4372cf7bOEe33yN79nc8MX6tav/cLLwn3C9ymIw83uQcAwG0x3NRnhpsAYAHDTQAAAPMYbpIkSWq3WxpuStJCx+hx15SGrobnaLgJaMFDT3tKOOBS4/Vf+gWnP/rom8L97uX8s3WOaL9Hll6T9NpEr1mNh572QLhf4DYdebjJPQAAbovhpj4z3AQACxhuAgAAmMdwkyRJUrsdebgp+v/Y3tq/3nSEcwT68/sPvjQcbqn1wR/7vnC/e1njX+xIon0fXXptotesVnpvRPsFbs9Rh5vcAwDg9hhu6jPDTQCwgOEmAACAeQw3SZIktduRh5vSv4DU+kLFI5wj0J93ffu3hIMtNd78wJPCfe5lrUXtSbT/W/CWh1+j6LWrkd4b0T6B23PE4Sb3AAC4TYab+sxwEwAsYLgJAABgHsNNkiRJ7XaLw03pv0ePv4bo/JLosQB7ee0XfF442FLjQz/5/eE+W3TpPpFF29yC3/mJF4SvXY303oj2Cdyeo/7LTbV6vQcAwBEZbuozw00AsIDhJgAAgHkMN0mSJLXbkYebokWKWfT4vY0tqGxpAAvoy4d+6gfCoZYab/pLTwz32aqeF7a/8clPCF/DGh/+6R8M9wncFsNN8XYAwP4MN/WZ4SYAWMBwEwAAwDyGmyRJktrtVoebWhgeis4r63246QmPf8xFb/z5fxxuMybaTzZnf3DL3v6tfyUcaKnxgZd9T7jPVvW8sD29VtFrWCO9R6J9ArfFcFO8HQCwP8NNfWa4CQAWMNwEAAAwj+EmSZKkdjvqcFMaWIkWKWZpqCXabi+tn9+1pecfXZdkzrVZe39wq/7j+34xHGap8ctf8fhwny3rfWF7es2i17JGeq9E+wRuh+GmeDsAYH+Gm/rMcBMALGC4CQAAYB7DTZIkSe121OGm0mLF5Jr/Ys/YsE0WbdcLw01wHb/1w98ZDrLUeN8LnxPus2W9L2xPr1n0WtZI75Von8DtMNwUbwcA7M9wU58ZbgKABQw3AQAAzGO4SZIkqd1uebjpWkMtpX+1KYu27YXhJriOX/n6J4eDLDU+9e6fC/fZst4XtqfXLHota6T3SrRP4HYYboq3AwD2Z7ipzww3AcAChpsAAADmMdwkSZLUbkcdbooWKEaibbdWM3iVXPNflro2w02wv//y4TeEQyw1HnraA+E+W2dh+1sfee2i17RGes9E+wRug+GmeDsAYH+Gm/rMcBMALGC4CQAAYB7DTZIkSe1268NNew+21P6rTUlacBntoweGm2B/v/vql4QDLDU++PLvDffZOgvb3/rIaxe9pjXSeybaJ3AbDDfF2wEA+zPc1GeGmwBgAcNNAAAA8xhukiRJarcjDjdNGSBKon1spbSIcqjnoRvDTbC/9zz3WeEAS8lrPvdzTn/00TeF+2ydhe1vfeS1S69h9NqWpPdMtE/gNhhuircDAPZnuKnPDDcBwAKGmwAAAOYx3CRJktRuPQw3pYWN0X62EB3/EsNN610Xw01Q9uYHnhQOsJT8+rOfFu7vCCxs/7T0GkavbUl6z0T7A26D4aZ4OwBgf4ab+sxwEwAsYLgJAABgHsNNkiRJ7XbE4abSQsVzew23TB26SqL99MBwE+zrD3/7deHwSo0Pvux7w30egYXtn/aBh1/D6LWtkd470T6B4zPcFG8HAOzPcFOfGW4CgAUMNwEAAMxjuEmSJKndjjjcNDbIckla3Bjta03RcUvSQFS0r1tnuAn29ZFXvDgcXKnxyd94ZbjPI7Cw/dM++a5Xhq9tjfTeifYJHJ/hpng7AGB/hpv6zHATACxguAkAAGAew02SJEntdsThpmhxYsnWAy5z/tWmZI+hqxYZboJ9vfu7vi0cXCl5w1c8PtzfUVjY/qj0WkavcUl670T7A47PcFO8HQCwP8NNfWa4CQAWMNwEAAAwj+EmSZKkdjvacNPcIaIk2t9aSosnL+l18MZwE+zrbc/4unBwpeSd/+AZ4f6OwsL2R6XXMnqNS9J7J9ofcHyGm+LtAID9GW7qM8NNALCA4SYAAIB5DDdJkiS1W0/DTVsNuZTOyeDN/da+Jq4xjHvDV877V3s+9BMvCPd3FBa2P+p3Hn4to9e4JL13ov0Bx2e4Kd4OANif4aY+M9wEAAsYbgIAAJjHcJMkSVK7HW24aWyRYhpiGRtySaJ9LlWzcDL679n5/nqw9jDS2vuDW/LHH3tLOLRS4xPvfEW4z6OwsP1R6bWMXuMa6T0U7RM4NsNN8XYAwP4MN/WZ4SYAWMBwEwAAwDyGmyRJktrtaMNNY0MsaQFjekz0tSw/Zk3RcbKac0r/8tP5PteUziG5dO3y17c+j6G1h5HW3h/ckk/8+s+EAyslr/kznx3u70jSZ1v0uZBF29yy9JpGr3VJeg9F+wOOzXBTvB0AsD/DTX1muAkAFjDcBAAAMI/hJkmSpHY72nBTtDAxy8M5Y4Muyfk+lygtmqw5p7SP8/2uoXRukXSeY0NO0TbZ2PMovSZTbLE/uGUfeeUPhQMrJW/8qieE+zsSC9vvlV7T6LUuSe+haH/AsRluircDAPZnuKnPDDcBwAKGmwAAAOYx3CRJktRuRxpuSkM30cLELA/llB635jBRtP9seJyxYZz0teE+lyot5Kxx6Zyix2Zj19VwE1zPb77oOeHASsnb/8Y3hPs7Egvb75Ve0+i1LknvoWh/wLEZboq3AwD2Z7ipzww3AcAChpsAAADmMdwkSZLUbrc03DR87B7DRLXDVsnY4so1z2fNoZ9k+ByS6DGZ4SZo07/++389HFgpee93/51wf0diYfu90msavdYl6T0U7Q84NsNN8XYAwP4MN/WZ4SYAWMBwEwAAwDyGmyRJktrtSMNNUxYolh57PrQzx9iAzfnAUmkQavjYOUr7X2J4raKvZ4aboE3v+JtPDQdWSj748u8L93ckFrbfK72m0Wtdkt5D0f6AYzPcFG8HAOzPcFOfGW4CgAUMNwEAAMxjuEmSJLVYtHgXAAAAAABa8H/80Is+86fZt5fhJgBYwHATAADAPIabJElSi0V/WQwAAAAAAC0w3HSwDDcBsBfDTQAAAPMYbpIkSS0W/WUxANyczw7+G336nOC/1fAeAgAAuArDTQfLcBMAezHcBAAAMI/hJkmS1GLRXxYDANyqVwX/DQAAgHYZbjpYhpsA2IvhJgAAgHkMN0mSpBaL/rIYAAAAAABaYLjpYBluAmAvhpsAAADmMdwkSZJaLPrLYgC4Nf61HpbyHgIAALgOw00Hy3ATAHsx3AQAADCP4SZJktRi0V8WA8CtMZjCUt5DAAAA12G46WAZbuKoPuuzPuuiZz3n28JtgOsy3ATreOzjHxve/5L0tWgb6Fn0vZK18HNjOofo3LJoG6gRvZ8yvzMtE13TzLVlK4abJElSi0V/WQwAfMZnB/8NAAAA2I3hpoNluImjihaRZRaTQZsMN8E6DDfBNNH3Sma4iVsWvZ8yvzMtE13TzLVlK4abJElSi0V/WQwAZP998N8AAACAvRhuOliGmziqaBFZZjEZtMlwE6zDcBNME32vZIabuGXR+ynzO9My0TXNXFu2YrhJkiS1WPSXxQBwc/wLTCzlPQQAAHAVhpsOluEmjipaRJZZTAZtMtwE6zDcBNNE3yuZ4SZuWfR+yvzOtEx0TTPXlq0YbpIkSS0W/WUxAPBprwr+GwAAALAfw00Hy3ATRxUtIsssJoM2GW6CdRhugmmi75XMcBO3LHo/ZX5nWia6pplry1YMN0mSpBaL/rIYAAAAAABaYLjpYBlu4qiiRWSZxWTQJsNNsA7DTTBN9L2SGW7ilkXvp8zvTMtE1zRzbdmK4SZJktRi0V8WAwAAAABACww3HawjDDdZGEQkWkSWec9Amww3wToMN8E00fdK1sLPjekconPLom2gRvR+yvzOtEx0TTPXlq0YbpIkSS0W/WUxANyaVwX/DabwHgIAALgOw00H6wjDTWmRroW6nIsWkWUWk0GbDDfBOgw3wTTR90pmuIlbFr2fMr8zLRNd08y1ZSuGmyRJktrt2f/kdff9rPaJj7z5dPr4W5vw3c/5lvD3l+yNP/+Pw+3GPOHxjwn3laSvDR+b9h89Llv7+Em0TTbl3Lcw9nqkr0XbRNZ+Hte+LtCy33zRc8IFUiVv/xvfEO7vSEr3kGibW5Ze0+i1LknvoWh/wLE9+8Uva/r3gKXcAwDgOMKfS/7gDz/zp5e61Qw3XUlewGuxLkPnvzANWUwGbTLcBOsw3ATTRN8rmeEmbln0fsr8zrRMdE0z15atGG6SJElqt6MPN0XblEzZ59hj5w7NLHlO1x7iGTv39LVom8jaz+Pa1wVa9pFX/lA4sFLyxq96Qri/I1nyeXuL0msavdYl6T0U7Q84NsNN8XYAwP4MN/WZ4aYrGS7gPdqC3bHFx0m0DXWi65lZTAZtMtwE6zDcBNNE3yuZ4SZuWfR+yvzOtEx0TTPXlq0YbpIkSWq31oebot9dhqJtatQMw2zxrzYlpf2ODQlde4jHcBMczyd+/WfCgZWS1/yZzw73dyQWtt8rvabRa12S3kPR/oBjM9wUbwcA7M9wU58ZbrqS8wW8R1ooZLhpO9H1zCwmgzYZboJ1GG6CaaLvlayFnxvTOUTnlkXbQI3o/ZT5nWmZ6Jpmri1bMdwkSZLUbkcebpoyTHOuZrHjlgsio/1lY8/r2os0x4aIprwehptgP3/8sbeEAys1PvHOV4T7PIprf2a2JL2W0WtcI72Hon0Cx2a4Kd4OANif4aY+M9x0JdEC3pf9/I+Gj22N4abtRNczs5gM2mS4CdZhuAmmib5XMsNN3LLo/ZT5nWmZ6Jpmri1bMdwkSZLUbi0PNy35F45qRPvMxoZlkrn/alMW7TMbG8Yx3BRbe39wa97wlY8Ph1ZKfucnXhDu7ygsbH/Uhx5+LaPXuCS9d6L9AcdnuCneDgDYn+GmPjPcdCWXFvAeYcDJcNN2ouuZWUwGbTLcBOsw3ATTRN8rmeEmbln0fsr8zrRMdE0z15atGG6SJElqt5aHm0oLEpcOGJX2Pyba3xRjwzhJtE1SGvhaek1KomNmhpugXW97xteFgysl7/wHzwj3dxQWtj8qvZbRa1yS3jvR/oDjM9wUbwcA7M9wU58ZbrqSsQW8rQ84GW7aTnQ9M4vJoE2Gm2Adhptgmuh7JTPcxC2L3k+Z35mWia5p5tqyFcNNkiRJ7dbzcFMS7bdkyhDPJXMXW5aGm9Y4t0tK5zzl2IabYF/v/q5vCwdXSt7wFcf+V3vmftbeovRaRq9xSXrvRPsDjs9wU7wdALA/w019ZrjpSkoDQi0POBlu2k50PTOLyaBNhptgHYabYJroeyUz3MQti95Pmd+ZlomuaebashXDTZIkSe3W8nBT9HvLULTNVGNDMZesMVS1ZFAoevxQtM0aStfKcBO06yOveHE4uFLjk+96ZbjPI7Cw/dM++RuvDF/bGum9E+0TOD7DTfF2AMD+DDf1meGmKykNCCWtDjgZbtpOdD0zi8mgTYabYB2Gm2Ca6HslM9zELYveT5nfmZaJrmnm2rIVw02SJEntdtThprUGVkr/EtK5KQM8Y5b8C0ylhZprDF9FomMNTbk2hptgX3/4268LB1dqfOBl3xvu8wgsbP+0Dz78GkavbY303on2CRyf4aZ4OwBgf4ab+sxw05XUDDclLQ44GW7aTnQ9M4vJoE2Gm2Adhptgmuh7JTPcxC2L3k+Z35mWia5p5tqyFcNNkiRJ7dbqcNOS4Z+pxgZjzq05OBTtPxsbyCldmy2GeWqukeEmaNubH3hSOLxS8uvPflq4vyOwsP3T0msYvbYl6T0T7Q+4DYab4u0AgP0Zbuozw01XUjvclLQ24GS4aTvR9cwsJoM2GW6CdRhugmmi75XMcBO3LHo/ZX5nWia6pplry1YMN0mSJLVbq8NNpcWIaw43lY41FG0/V2lgKNomix4/tOb1KQ1TZVOOabgJ9vee5z4rHGApec3nfs7pjz76pnCfrSt9vkfb3Jr02qXXMHptS9J7JtoncBsMN8XbAQD7M9zUZ4abrmTKcFPS0oCT4abtRNczs5gM2mS4CdZxtOGmdE6XtPgvb3J7ou+VzHATtyx6P2V+Z1omuqaZa8tWDDdJkiS121GHm9b8F5SS0qBRsvcxo22y0vVJ1jjf2sGmxHATtO13X/2ScIClxgdf/r3hPltnYftbH3ntote0RnrPRPsEboPhpng7AGB/hpv6zHDTlaSFr9EPyGNaWShbOvdoG+pE1zOzmAzaZLgJ1jH280X6WrTNNR3tfLk90XsvM9zELYveT5nfmZaJrmnm2rIVw02SJEnt1upwU/Q7y1C0zRI1w0LRdkuUjlkaFoq2ObdkwGnKYFNSOt8hw02wv//y4TeEAyw1HnraA+E+W2dh+1sfee2i17RGes9E+wRug+GmeDsAYH+Gm/rMcNOVlAaELon2tbfSuUfbUCe6npnFZNAmw02wjqMNCx3tfLk90XsvM9zELYveT5nfmZaJrmnm2rIVw02SJEntZrjpUdFxsimDO7VKCy5Lx6wdPppz7qVzi0w5juEmuI5f+fonh0MsNT717p8L99my0mdZtM0tSa9Z9FrWSO+VaJ/A7TDcFG8HAOzPcFOfGW66ktKA0CUtLJYtnXu0DXWi65lZTAZtMtwE6zjasNDRzpfbE733MsNN3LLo/ZT5nWmZ6Jpmri1bMdwkSZLUbi0ON5WGdrYaVhlbABk9fqk1nufYUM+59PxK/5JTesylfZaOlbaN9hkZ21fN8z639v7gVv3WD39nOMhS430vfE64z5b1vrA9vWbRa1kjvVeifQK3w3BTvB0AsD/DTX1muOlKSgNCY669YLZ07tE21ImuZ2YxGbTJcBOs42jDQkc7X25P9N7LDDdxy6L3U+Z3pmWia5q5tmzFcJMkSVK7tTjcVFqIOGWIZqoWjjcUbTNU+683nUsDP0PRY86VjjXlOo0dM30t2mbM2vuDW/WffvO14SBLjV/+iseH+2xZ7wvb02sWvZY10nsl2idwOww3xdsBAPsz3NRnhpuupDQgVHLNRbOlc4+2oU50PTOLyaBNhptgHUcbFjra+XJ7ovdeZriJWxa9nzK/My0TXdPMtWUrhpskSZLa7YjDTaV/fWiJaEhm7+MNRducmzvgNEW+BtHXMsNNcAxv/9a/Eg6z1PjAy74n3Gerel7Ynl6r6DWskd4j0T6B22K4Kd4OANif4aY+M9x0JaUBoRrXWjhbOvdoG+pE1zOzmAzaZLgJ1nG0YaGjnS+3J3rvZYabuGXR+ynzO9My0TXNXFu2YrhJkiSp3Vocbop+XxnactjofFBo68GYsaGcpHZgaMsBp+H1jr6eGW6CY/jwT/9gONBS401/6YnhPlvV88L29FpFr2GND/3UD4T7BG6L4aZ4OwBgf4ab+sxw05WUBoRKX8+usXi2dG7RNtSJrmdmMRm0yXATrGPs54tr/LxTcrTz5fZE773McBO3LHo/ZX5nWia6pplry1YMN0mSJLXbEYebom3WNByU2XKQKiktupwyMJTOdWzIZ47z5x89JjPcBMfx2i/4vHCopcaHfvL7w322qNeF7ek1il67Gum9Ee0TuD2Gm+LtAID9GW7qM8NNV1IzIFR6TLb3Atqac2ee6HpmFpNBmww3wTrGfr7Y+2edGkc7X25P9N7LDDdxy6L3U+Z3pmWia5q5tmzFcJMkSVK7tTbcVPMvEEXbrWm4EDL6+ppKiy7nDOaU9lkjHTca7Ioem6Xjnj/+krWHkdbeH9y6d337t4SDLTXe/MCTwn22qNeF7ek1il67Gum9Ee0TuD2Gm+LtAID9GW7qM8NNV1I7IFR6XLbnItrac2e66HpmFpNBmww3wTrGfr7Y8+ecWkc7X25P9N7LDDdxy6L3U+Z3pmWia5q5tmzFcJMkSVK7HW24acoAzRKXhnu2ED3PbO5gTjr3OUNO6Xhj1zjaJpvy2qw9jLT2/uDW/f6DLw0HW2p98Me+L9xva3pc2J5em+g1q5XeG9F+gdtjuCneDgDYn+GmPjPcdCVTBoRKj832Wkg75dyZJrqemcVk0CbDTbCOsZ8v9voZZ4qjnS+3J3rvZYabuGXR+ynzO9My0TXNXFu2YrhJkiSp3VobbmrFlEGd1uVBp0sDQOm/39LzBeo89LQHwuGWGq//0i84/dFH3xTul+tJr8nrvuSx4WtW46GnPSXcL3Cbbn24CQA4DsNNfWa46UqmDgiVHp/tsZh26rlTL7qemcVk0CbDTbCOsZ8v9vj5ZqqjnS+3J3rvZYabuGXR+ynzO9My0TXNXFu2YrhJkiSp3Qw3AfTp937hJeGAS613f9ffDvfL9bz7O58Zvla1fvc1Lwn3C9wmw00AQCsMN/WZ4aYrmTMgVNom23rR0Zxzp050PTOLyaBNhptgHUcbFjra+XJ7ovde1sLPjekconPLom2gRvR+yvzOtEx0TTPXlq0YbpIkSWo3w00A/foXX/7l4ZBLrY+/+eXhftlfei2i16jWW5/61eF+gdtluAkAaIXhpj4z3HQlcweESttlL/v5Hw23X8Pcc6csup6ZxWTQJsNNsI6jDQsd7Xy5PdF7LzPcxNq2/P1yquj9lPmdaZnommauLVsx3CRJktRuhpsA+vW8v/sd4aBLrV/9a18T7pf9pdcieo1qffSVPxTuF7hdhpsAgFYYbuozw01XsmRAqLRtttUCtCXnPlV6DklaSHXpuOm/J9dabJWOO3Z++es1r0e0fXat5weMu8Xhpimfu1t+NuX9r/H5yv1qXud8jaPt13bpPJL0tWibLD+PaB/5eaz9Pllyvq3K74nk0vPKX4+2b0k6x3S+0euUn8c1Pjvy9YvOK8lfrzm3aPss7SPaZk/pHKJzy6JtzuVr1drreG7sPIfn2sr5TpXOOz2PVs79/PoOpXONtlkiPe/a1/ga1ygdN59fdG756zXnFm2fpX1E28BShpskSZLazXATQL/SArJ/+HlfHA671HrfC78j3Df7+c0XPid8bWq95YEnhfsFbpvhJgCgFYab+sxw05VcWniURdsMRdtEtlhctfTca6SFU9G+a+SFZdF+11S6DpG0zdhrEm2TWUwGbbqV4aa8cDf6/Kmx5mfvnPPY+vM17TvaNlvrfjt2b0lfi7aZau7rPHadSvuMtjk39bmnaz62zSU1r3dkzrEuifZ/TVtcyx7eE1PMOa+0zdhnS7RNtsdzKpn7HljyOo5dr7Wl4805z2zOa1S6pkm03VL5ec455xrnz+Hc+esaPSZb6xznvg+zdB5bvx/nnF/aZuy8om2yrV5/MNwkSZLUboabAPqVFpB98Z//pnDgZYqPvfafhvtne+naR6/JFB/6qe8P9w3cNsNNAEArDDf1meGmKyktRIq2GUoLkqLtImsvqlp67mOmPK+S0sKtuWoWFZakc4v2HT02s5gM2nT04aY1P3eTS59vNVr+fC1dp7XuN2P32CXXNlnrtY6ea+m1O398ZMpzH3tsramv2RrHzKL9X0O6Bltdyx7eEzVa/lzb2pz3wBqv46XrtZY1znFo6msV7WNoi/fxcP/R15coXc/o9Ywel63x3l/zNd7ie7H0vVXj0vdJ9Nhsi+cCieEmSZKkdjPcBNCvvIDsf33Ml4VDL7Ue/AuPO/3nD7w+PAbbSdc8XfvoNan10NOfEu4buH2GmwCAVhhu6jPDTVdSWjAVbXMuLVyLto2suchtjXOPrLmIbOjSwq2p0jVc+xzPX5foMZnFZNCmow43bfGZlk295xzh8zXtL9o2m/qcLxm7DkvuZ2tf3/NzKS20Hj72ktrnvuZzmfK6rXncaP97W2Nx/FCP74kxaT9rnldyfm7RY7IWfm6c8h5Izy16zBJrvZbZFuc4VHu+Nd+70XZznb+P176uw31HouNFj8uWvPe3fI3XuG5pH71/rnCbDDdJkiS1m+EmgH7lBWT/3Zc9Kxx8meIdz/yr4THYTrrm0Wsxxb//lR8P9w3cPsNNAEArDDf1meGmKyktSoq2iUxZgLXGgqpkrXPPpjyHudI5R8euteU5Dl+X6OuZxWTQpiMON239uTvlfnOUz9fSeU55zmPG7rFz72Wl+/Zcw/MpLbYfns8lNc99i+dS+9qteexo/3va4jom+XVKenhPXFL6vFhieG7R17MWfm6sfQ/sdb2W2Op75tzwe2hMtO3QWs87ifYfPW6O0nvk0vWIHpvNfe/v8RoveV32+j6Jvp618LnCbTLcJEmS1G6GmwD6NVxA9o2P/R/D4Zcpfu2bHgiPw/oeevhaR6/BFO957rPCfQN9MNwEALTCcFOfGW66ktLiqWibS6YsdFpjodu1zn2p2sWC5/Y4x/y6RF/LLCaDNh1tuKmlxbtH+nwtnWvtcy4Ze33m3Me2fr3zOZUWqJ+fV6T03EvHmKv2uq55LaP972XN5xHJ17OH90TkSJ9rW6t5D+x5veba+nvmXM37r3Rtl7yHhy4dZ617XrTvoUvHiR6bzXnv7/kaz7l2e36fRF/LWvhc4TYZbpIkSWo3w00A/RouIPsTf/E7Tz/yP/zZcAhmig/86PPDY7Ge9//z54XXfooHn/hFpz/+Pfd76JnhJgCgFYab+sxw05WUFlBF24yZsuBpzoKqoTXPfepCsrSgaihtP2Uf6bHReYyJ9lOSz2vK+ZWOZTEZtOlIw021n0dL1d5nom1LrvX5WrrPLr23ZmPPKX0t2uaS2uszlK/rUPS4oXxPjr6WRed3ruZYl0w953M1r9+S8zsX7X8PpdfpkqnXt5f3RCTaV8mccy0dK13/83PbW817IPrvQ+fXpvb6nJv7es493lLpuNH5DEXbDa1xX7r0/Nd4f5XeH2PXIHp8NvXc0nWK9nNJOq90jKGp75Opr020j5J0TkPRY86VjjX12kItw02SJEntZrgJoF/nC8ge97hvCgdhpvrIz74oPB7LpWsbXfOpfucnXhDuH+iH4SYAoBWGm/rMcNOVlBYYRduUTFmYtWSx21rnnhZHRdufS8erOd/a/U157rULwZLSYq903LFzLB3LYjJo01GGm2o/I7P0+Eufl+lrY59ZNZ+zR/t8TceIts1qnnONsXNNX4u2iYxdj3PpsaXzT48pnVv037Non+dK+ziXHl967Uqv21C0/dDU8xsT7X9rU65Feq5HfU+UznvN98S5Kedb895Nj4m2TUrHKu1/D2Pnn1x6Dum/L70+kdJ749yU1zO5dN7puHPON+3vfF9Dpf2VrmFJaf9Tr+e5aJ9DY/uPHp9Nfd7RPiI1+03nXPO+Kb22Q1Peh6VzLL0PS8eaem2hluEmSZKkdjPcBNCvaAHZr/7PXxsOw0zx6s/5U6eP/dKPhMdkvt9/+Jqmaxtd8yne9s1fF+4f6IvhJgCgFYab+sxw05WUFg5F29RIC5ai/UWi7Wusce615zm2qC1Ss6AsfT3a9tzYwq+h2v0NTXmdMovJoE1HGG6a8pkz9XM3+qws7eOIn6+l/U69bpeM3cNqr0ftNUj7m3re6fFj53hJtK9zU/Y79bxr9r3mPtPXom2uKTrPyNTrkHhP+LkxUntNhuacd+31mXLtp5z71HOesu/SezDaZmjq98VQ6XtkzmuVla5B6bWKtsmmnFfN58Cc79ma17jmtal9r8w5x6N+rnCbDDdJkiS1m+EmgH5FC8g+9s5/eXrd4z4/HIqZ4rVf+GdPH/pJ/zrQWtK1TNc0utZTpNf2U+99VXgMoC+GmwCAVhhu6jPDTVdSWkgVbVNriwV+Q2uce2kfybUX40XbnVtyjlMXlFlMBm06wnBT9Jlybu49IRt+7pY+G4fHvaS1z9fSPpec79DY/av2NYq2Pbfm610j2se52n3Ovdal/U+9z47tb+n1XVt6btF5Di0959rXL4v2ca52ny28J6Ltzy35nCh9Bp1r4efGmvfd0B7Xp/YY0bbn9vqeGTvn0jVe8j6I9ncu2q5G6bmXXqdom6z2Ode8Z5a8xjX7j7YbirY5V/uejtSc41ALnyvcJsNNkiRJ7Wa4CaBflxa2f+QVLw4HY6ZKwzjpXxuKjk299K9grTHYlKTXNjoG0B/DTQBAKww39ZnhpispLeiKtpmidqHSnAVbS8+95tyWLNLKov1mpeddsxhzjXOcsqDMYjJoU+vDTTWfZ0sW7w7lz7Sxz8fSPSRp8fO1tL81zjkZuz41r1PN817r9a55LbNo+3M1+1ty7qVrM/U+O3a+a13jNXhPXLbWe6Lmc3aNz4ia1zKb+n7eQs11yfa8PtG2Q1u/74bWOFa0zdCca1tzXsmcfZfeFzXXNtouq33vl55jzXmUlJ7r2PWr+f7Z8/smqb22MJXhJkmSpHYz3ATQr7GF7f/2e/5eOBwz1as/50+dPvKzL7rv2NRJ1y5dw+jaTpVe0+gYQJ8MNwEArTDc1GeGm66ktJgq2maqmgVRydSFW0vPvXReay2aKh0n2iaLHj+05sKu2gVlax4TWE/Lw001ny9rLN4dSsccW2wbncNQq5+vpX2NPecpxu6xNa9V6R699utdOl4WbXuuZl/RdlNE+xyKtrlk7HzXvs5LlH4eSqLt5urxPRFtN9Trz401771krc/PpOb6jB2vZvu1v79r3udj51y6znPeC9F+Lom2H1N6vjXnG22X1T7faNuhaJs5on1nY+caPX5ozut6Sc37PlnzmDBkuEmSJKndDDcB9Ku0sP2hpz8lHJKZ4/3//Hn3HJuyD/zo88NrOUd6LaNjAP0y3AQAtMJwU58ZbrqS0qKuaJs5ahbLJVMW6S0992iboWibucbO9dJzTou2osdnU65VrdIxE4vJoE0tDzdd4/NszJE/X0sLf8cWnk8x576V1SxOXus8h6LjnIu2Ozf23JM13h+l90O0zSVLXqs9Rec35D2x7D1x5M+1rdWc5zWuz9i12eM9Fykdd+ycaz77o+0uqXndhqZ8hpTOtfb6RttmY9cqW/Iemar0nKPrVzq/a3zfJGteFxgy3CRJktRuhpsA+lVa2P6p97zq9Etf9PnhsMwcD33TA/ccn8t+7eFrFV3DOdJrmF7L6DhAvww3AQCtMNzUZ4abrqS0gC3aZq7SsbLaRVJLzr20uGvtBVNji7QuPd/S85uygK9W6bokFpNBm1oeboo+S4a2+Dwbc+TP19J+1jr3sWt06b6Vjd3zkq3uI6XXNYm2O1fazxrnX7pG0TaXLHmt9lJ63251nj29J0rn2PLn2tZK1zaJtltDdKyhaJskeuzQFq9nUvOaRttlpWs95f1Q8/07tOa+a/cVbZvV7KN0HtE2S0THyKL3lM8VemO4SZIkqd0MNwH0q2Zh+4d/9kXhwMxc73jmXz395w+8/p5j8Kg/fP/rT//q4WsUXbu50msYHQvom+EmAKAVhpv6zHDTley9oKp2kVp6XLT90JJzTwuiom2yaJulouNkUx9fc33mKl0bi8mgTa0ON5UWqV7jMyU6j6z1z9fS9VxrofHYPbZ0jUr35y0WQ2fR8Yaibc6Vzj/aZqo1X8clr9VeSu9974nl74lom2zL98Ean2tbK53jNa9P9Lpe83yTOeecld7HSbTdudI5XFL6PsmibbMp1zfaPkvPIdpmKNouq9l+qrHrGh0velzW++cKt8lwkyRJUrsZbgLoV+3C9ve/9Hnh0MxcD/6Fx50+9tp/et9xepeuyYNf/rjwms31/pc+PzwWgOEmAKAVhpv6zHDTlaRFSdGCoSzaZqnSMbPSgqkl536N5x0dJztfiFdaGLjlgq5rHhuYr9XhptIC1dqFyGs5+udraR9rXc+x+2Tp/hxtk5W2XWqN+/sePyOs+Touea32ssc1vaSH90Rp295/bizdh1q7Ptf8fkmWvqal6z32Xs7GrsHY+dW8lqXrO+X9EG2flfZzje+dsdcmXZfhY69xftk1j03fDDdJkiS1m+EmgH5NWdj+vhd+Rzg8s8RvvvA54bF6lK5FdI2WeJ/rC4ww3AQAtMJwU58ZbrqSay2eKx03O19kNbTk3KPHD6V9ry06Tna+QGts4VlSsyhwieiYmcVk0KZWh5uiz5GhaJstHf3ztbTgd63zH7tvpa9F2yTXXpBcen2jbc6V7tnRNlOt+TrOfa32FJ1btvU59vCeOPrn2tbWeA8sER0zi65PC9/T0bGHom2y0ns5ibYbirZJ8vOPvpad7+tctE029fpG+8hK7/3S+zJJ57O26DjZlPPr/XOF22S4SZIkqd0MNwH0a+rC9vc879nhEM0Sv/rXvub08Te/PDxeD9JzT9cgujZLvPfh1yo6HkBmuAkAaIXhpj4z3HQlUxY4ra107Cw9bs720TZZ9PhrOl+gVVpMNnzsFqJjZhaTQZuOONx0jc+To3++LhmAmGLsHnvpvpzsdX6XrPH6zn3uU6x5nfY436Wic8u2/hzo4T1x9M+1rY1dnz2+R6a+f6LHZXtdz6XvqdL2Y+/nseuVn//Y/pd8r+T914r2kZX2VTqXa5hyfsPHbiE6Zjb1dYJahpskSZLazXATQL/mLGx/17c/IxymWerd3/nM0x999E3hMW9Req7pOUfXYqn0GkXHBBgy3AQAtMJwU58ZbrqSscVjSbTNmkrHz6JFanPPvbR49BrOFzaOPbfzx25h7PgWk0GbWhxuKn3eji1A3srRP1/3uqZzr9O1F0OXrk+0zbk93iNrvo57nO8Se71nL+nhPXHt98DY8Vv4uXHsc2mP6zP1czF6TLbX9Sydc+n7tvR+Hrvu0eOT822ixyRz9p3MeS9E+8lKr1U6XrTdNQ1f17Hzm3Otpho7/l7fB/THcJMkSVK7GW4C6Nfche3v+FtPDYdqlnrdlzz29MEf+77wmLckPcfXf+kXhNdgqfTaRMcEOGe4CQBoheGmPjPcdCWlRVXRNmurXdh1vohu7rmXFttdw/kCsbHndv7YLYwtaLSYDNpkuKnO0T9f97qmc6/T2PNLom3WFh03ix5/bo/3yJqv4x7nu8Re79kx0XGz6PHnWn9PXPs90PrPjdc+vymfiy18vyRrnEfpeUf7mPJajT126r5mD+l+AADrf0lEQVST8/3XiPaTlfY39n17LcPr5nOFHhlukiRJajfDTQD9WrKwfat/wSl58wNPOn3oJ78/PO6R/c5PvOD0loefW/Sc1+BfbAKmMNwEALTCcFOfGW66ktKiqmibLdQu7qpdcJUM9z+U9hE9/prOF4iNPbfzx27BYjI4HsNNdY7++brXNZ17ncaeXxJts7bouFn0+HN7vEfWfB33ON8l9nrPjomOm0WPP9f6e+La74HWf2689vlN+Vxs4fslWeM8SvuIrv3Ye/n8sWP7n7rvud8n0b6y0ntr7HyuZfi6bnG9phj7vildW5jLcJMkSVK7GW4C6NfShe3vfd6zwyGbtbzpLz3x9IGXfU947CNJz+GNT35C+BzX8p6HX4vo2ACXGG4CAFphuKnPDDddSWlRVbTNFkqL34byoqu55z7lWHs5XyBmMRkwleGmOkf/fN3rms69TmPPL4m2WVt03Cx6/Lk93iNrvo57nO8Se71nx0THzaLHn2v9PXHt90DrPzde+/ymfC628P2SrHUepec+3M+c12nsvT98XOk8Lu2/JNpXVtrn2Llfy/D18LlCjww3SZIktZvhJoB+rbGw/X0vfE44bLOmX/6Kx59+8+HjfOrdPxeeQ4vSuaZrk849ek5ret8LvyM8B4AxhpsAgFYYbuozw01XUlpUFW2zldIiuqH02LnnXjrOcFHXtYwt5kqibdY0dm0tJoM2HXG46RqfJ0f/fN3rHjZ2nulr0TbJta9v6fpE25yb+9ynWPN13ON8l4rOLdv6c6CH98TRP9e2NnZ99vgemfL+Kb0P9rqea72npjyfses03OfQ2P5r973kPRDtLyu9Vlud01rWeg/MNXZ9StcW5jLcJEmS1G6GmwD6tdbC9ve/9Pnh0M0WHnraU04ffPn3nv7oo28Kz+Wa0jmlc3voaQ+E576F97/0eeG5AJQYbgIAWmG4qc8MN13J2KKhJNpmS6UFcENLzj16fNbCYimLyYCpWhxuSqLPkewanydH/3wt3SfT16Ptpho7z/S1aJtkr/O7pHT8aJtzc5/7FGtepz3Od6no3LKtPwd6eE8c/XNtay1fn+j9Ez0u2+t6rnnNavcVfS0pfY9F22Tp66XjL7mm0f6y0n7XvMZbuPb5tf65wm0y3CRJktRuhpsA+rXmwvYP/+yLTq/9wseEAzhbeM3nfc7p1//O004ffNn3nj75G68Mz2kP6dgfeNn3PHIu6Zyic93CL33R5z9yzaNzAqhhuAkAaIXhpj4z3HQlY4uGkmibrZUWd9aK9p1Fj89aWCy1ZIHrGqJjZhaTQZtaHW6auqh7a0f/fN3r/Je8btE22db3kLT/6LhZtM25Pd6za76Oe5zvUtc8xx7eE2u+n+aIjpm18HPjGu+BJaJjZtH7J3rc0Pnjt7Dme770/kyvz9jxSu/fsdc3bbvmczkX7TMrvfev/b4s8blCjww3SZIktZvhJoB+rb2w/Q/e86rTQ09/SjiMs7Vf/ot//vTOf/CM0+/8f/7R6RPvfEV4fmtI+07HeNfDx0rHjM5la+kaf+rhax2dH0Atw00AQCsMN/WZ4aYrGVvslUTb7KG0mKpGtN9sy0Vuayg9/y0XdJUW2llMBm064nBTEm2zpaN/vu51/tG+s9J9Mtom2/oeGx1zKNrm3B4/I5Rex/T1aLvIHue71Ng5JtE2a4mONxRtc67198RenwuRNT7XtlY6xynfb1PNeW2ueb5ZdNxsznu+9JwuqT1WtG2Npe/PaJ9Zad+l98Yer/OYOe/dtZTeL1sem74ZbpIkSWo3w00A/dpqYft7n/93w6GcPb3mz3z26Y1f9YTT2//GN5ze+91/5/TBl3/f6fde88Onj7/pZaf/8LafPn3q3a86/affeu3pjz76pkek//uT/+bnTv/h7T/9yGPSY9M2adu0j7SvtM/oWHv6t9/z98JrDjCV4SYAoBWGm/rMcNOVXHOxaUlpQVVJtM+s5eedRec1FG2zhtK1sZgM2tTqcFOLC1Sj8xiKtlnDWp+v0bbZWtcz2ndWOsa17rE1PzdE250bO//0tWibqdZc1L7H+S51rc+Bnt4T0TZD0TZrGLs2yVav7RTXev8lpesTbVN6L2x9Tbd4TWu+FyO1xyq9xpE1vnej/Walc7/261wjOq+haJs1HOFzhdtkuEmSJKndDDcB9GvLhe0fecWLT7/0xZ8fDugw3ese9/mPXNPoWgPMYbgJAGiF4aY+M9x0JXMW3O1p7kK4JNpfVloAt9WCqXS9a/ddOsfSIte5omMNWUwGbWp1uCmJPkuGom22dPTP12jboWibKUrXp3SeS7efq3TcJNru3NjPRmsshk9KP99MeQ/ucb5riM4v2+o8e3pPlJ5r659rW6p5H1zr+kTbJNFjh7Y639L7MIm2q1HzOgxN+d6qOe9za7w3o/1mNfuPthuKtlkqnVdS8x4qvWbX+r5Z47WDiOEmSZKkdjPcBNCvrRe2f+q9rzq97Zu/LhzWoV66hulaRtcYYC7DTQBAKww39ZnhpisZW6yZRNvsbc5itSTa11C0zVC0zRLDxWHpupcWg5We91qLaYdK74fEYjJoU8vDTaXPli0+z8Yc/fO1tK9omynWWMwcbTcUbbNE7c8K0bbnxq7vWu+N0vnWXONsj/NdQ+l9O+U51+jtPVHafov3Quk1TVr4ubH0mZZc4/qMHbN0zlucb7LknEtqvyezqe+dmtc5W+v6RfvOas6/dM5Tr0GNKfv3uUJvDDdJkiS1m+EmgH7ttbD9d37iBacHn/hF4eAOl6Vrlq5ddE0BljLcBAC0wnBTnxluupLS4qFom2uYuhguifYzVHruay7WunT+pWNE2wytubCr9hpbTAZtanm4qebzJT0m2nautL+xfUbnMNTy52t6XLR9tvRarvGzwZ732KR0vCza9tzYvtY679J7YspruMf5rqH0vk2i7ebq8T0RbTfU8ufalmree8mU77uSmusTbZfVbL/293fN98zSa1T7WiTR9mNq35PJWu/LaN9ZzTFqznnpNR+69BqPHSN6/NCa3+O1r+Gax4Qhw02SJEntZrgJoF97Lmz/49978+k9z31WOMTD/dK1StcsupYAazDcBAC0wnBTnxluupLSIrZom2uZsmAtifYxtNdisprjXFqglf579Pihvc4xs5gM2tTycFOyx6LpLH+mje3vyJ+vNfuMtqtRui61i+lrzrF2XyU1760s2v7c2P7WOufS9Zny3tvjfNcSnePQWuc7dk3ORduf2+Mar/Ge8HNjrOa6ZHtdn5r3Tc37eK33317Hqn3vzD1WtK9ItO0c0b6z2vd+6drv+RpH2/lcoSeGmyRJktrNcBNAv66xsP3f/8qPnx56+lPCgR7+5CPXJl2j6NoBrMlwEwDQCsNNfWa46UpKi5yiba5pyuLEaPtzNYu8lizWql2kdekYS7evUXuMzGIyaFPrw01J9Jlybuki3uF9ovTZODzuJa1+vkbbD825jjXnO+Uca+6xS1/vmmMMRfs4N7bPpeebla71lPfdHue7lpqf45ae89j1iET7OLfHNV7jPVHzPZxMeX+dqz1G1sLPjTXvu6Gl16fmPVhzjNprvdf3TLTtHDXHi7arUXPN1nxPRvvPao9Tc857vMaXjlH7Pqx5T19Se4yshc8VbpPhJkmSpHYz3ATQr2subP/QT33/6S0PPCkc8OnRW/7ykx65JtG1AtiC4SYAoBWGm/rMcNOVlBY6RdtcW83irCTa9lztQqo5C8pqF1KWFoLV7mfOIq/afQ9ZTAZtOsJwU+1nTvrMnfpZE32elz5fa+8BLX6+1ux/yr2r9lpE215Su88599i079qfB4aifZ0b2++cc42Urk36erRdZI/zXVPN65YeM+UaJN4Tn1b72dPi59pW5pz31PdfUnucKe+Z0vtiaOq1nnJd1nwdS89p6fdUtM+haJu5ov1nU65Z7WfX1PdlenzNvkvXvPa9Mud9MuV9mK35foQhw02SJEntZrgJoF8tLGz/6Ct/6PTWp351OPDTg/Tc0zWIrg3Algw3AQCtMNzUZ4abrqS02CnapgU1i7Si7SJTFlSVFlKlBWRT9ldaSJbVPN8sHb+08C095tI+S8cqXQPgOo4w3JRM+TxLj02fOZc+d0qfuTWLgI/8+RrtIzJ23mPne27q+SVTrm96bOn6ll7z0vGifZ4b20f6WrTNVOl5RPvPStdhaI/zXVPpuQ+l8y+977wn7ld6zkPp2pX2nR5zaZ+lY5Vevz2MvT9Kll6fSLSPMVP2neRzjs576rkm6fHn+1lq7BymvNcjY693+lq0zVzRMbKpx4r2EUnXbu33ZM01n7K/dPwl51g61tqvI2SGmyRJktrNcBNAv1pa2P67r3nJ6aGnPSUcALpFDz3tgdPv/cJLwmsBsAfDTQBAKww39ZnhpispLRyKtmnFmuc+ZbFWlrYZih4zJm0TnUskLQ6L9lEy5xxLx7KYDNp0lOGmpPbzaKmaxbpH/nxNj4/2s4X0HKNzqFF7fYaG17Z2+/S40jWJzu/c2PHS16Jtpiq9F2reu9ke57u2sXO+JG0zFD3mXHpcj++J0r4uydc2ix5zrnSsFn5uLL0Haq/XnOtzbsrrODT3eEul40bns9Sla77W8aJ9J9Fjl4iOkU197+/5fTtU+57c8/xKx2rhc4XbZLhJkiSp3Qw3AfSrxYXtv//gS0/v+vZvOb32Cz4vHAo6svSc0nNLzzF67gB7MtwEALTCcFOfGW66ktICo2ibloydf/T4MbWLrdaQjhWdw5i5C8qmyIvboq9lFpNBm4403JTs8Zm79YLdKbb6fN3r3lV7LS/Z+jzzfbU0xHB+XpGxc83HWar0nptyvfc43y2Mnfca8nPv8T2RlPa3hnxO0deyFn5urHkP7Hm95tr6e+bcWu/tS6Lns9b7JXrNt3gvnh9jaM7x9ngfDk19T+75fRJ9LdvitYTEcJMkSVK7GW4C6FfrC9s/9FM/cHr7t/6VcFDoSNJz+PBP/2D4HAGuxXATANAKw019ZrjpSkqL5KJtWnPpOUSPLdlj0eCShYJbLigbLm6Lvp5ZTAZtOtpwU7L1Z+6URbtH/nxt6TqO2eo8h/fVdA2jx2TD87lk7DyHx1qi9H6bcs33ON+tjJ37EsPn3eN7Iivtc4nh+URfz1r4ubH2PbDX9Vpiq++Zc2u9r8dE1zt63Bxb7nvo/BhDc9/7W74Ph+a+J7c8v+E5RV/PWvhc4TYZbpIkSWo3w00A/TrKwvb/+L5fPP3WD3/n6Ve+/snh8FCL0rmmc07nHj0ngGsz3AQAtMJwU58ZbrqS0gK5aJsWRc8jelyNLRcNzl1ENrTFgrLz84oek1lMBm064nBTkj5/tvrcnfqZu8W57PX52so1LFn7PNP+hvuvHWIYM3aO58ebK13XaP/ZlOu+x/luqfSaTeU9ca/Sfuc4P5foMVkLPzdOeQ/scb2W2uIch9Y+3zHD76213ytb7jvL+48sOeaWr/Ean1l7fJ9Ej8la+FzhNhlukiRJajfDTQD9OuLC9v/y4TecfvfVLzm957nPOr35gSeFg0XXkM4lnVM6t3SO0bkDtMRwEwDQCsNNfWa46UrGFmsm0TatOn8u0WNqpcVVpWszRVqAtfZCwbTP6FhTXFrcFj02s5gM2nTU4aZsjc+0c3M/d9f6fI2OHz02W/r5uuY1vHT+a0jnucY9Njq/0jU4f3xk7Nwu3TenSuce7T+bcu33ON+tpee7xnsi+h7q8T0RWePz4dJzjR6bRa/J3qa+B9Z6P6713rhkjdd0aOvzjQzf99HXl9hy31nef2SN9/6ar3F6fdf+flzj/I76ucJtMtwkSZLUboabAPp1Cwvb//C3X3f6yCtefHr3d33b6W3P+LrTG77y8eHw0ZrSMdKx0jHTsdM5ROcG0DLDTQBAKww39ZnhpispLdyLtmnZ8PlEX59q6eLGtPBq6WLUMWnfcxaVlRa3RdtkFpNBm44+3JSlz5gWPneP+vk697yz0vmvKR1nzms9dn6l5x5tc27snNLXom2mSq9TtP9synt4j/Pdy5L3xKVr1uN74pK0j9L1iKTnmLaL9plE22Rj2+1l7nsgXa8578e0zRqvV605r2lWem33kM4hib62VHqOWz6/8+s5tOZxW36Ne/1c4TYZbpIkSWo3w00A/brVhe1//LG3nD7x6z9z+sgrf+j0my96zulf//2/fnrH33zq6aGnP+X0lq/9qtObnvyE04NP/KLTa7/wMadXf+6ffkT6v9N/S19Lj0mPTdukbdM+0r7SPtO+o2MCHI3hJgCgFYab+sxwE6tJC6XSoqfoa0ukRVRJ3n8kP2bPBY1ZXlh26fy2XtgGXNetDDcN5c+0sc/d/Nm25efuUT9fS+edpK+1cP75PC+da/p6zWucHhdtn0Xb0Ka13hPEjvq5dg211+ra1yufZ+lcW3ttt/w+bul5rmH4Gkevb3LN96PPFY7OcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDexmrSoKi2eir4GcKtucbgJphpb8J1E2wAAgOEmSZKkdjPcBNAvC9sB+uUeAAC0wnBTnxluYlVb/n8AB2iR4SYw3AQAwDyGmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muAkAFjDcBOPDTY99/GPDbQAAwHCTJElSuxluAuiXhe0A/XIPAABaYbipzww3AcAChptoSfoXFNMw0SXRNmsw3AQAwByGmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muAkAFjDcREvSIFE0YJRsOWQ0dtw0+BRtAwAAhpskSZLa7X/6gVfd97PaNz7/n52+6fteCsCN++xn/ODDn/vPvYd7AEAf3AMAgFZ89jN+4OGfRe7980nDTbef4SYAWMBwEy0Z+xeUkmibNUTHygw3AQBwieEmSZKkdvu8Z/7IfT+rAQAAAABcy0c//snP/OmlbjXDTQCwgOEmWnKN4aaX/fyPhsfK0tej7QAAwHCTJElSuxluAgAAAABaYrjp9jPcBAALGG6iJaVBoy3+FaXSMaNtAAAgMdwkSZLUboabAAAAAICWGG66/Qw3AcAChptoTTRglD328Y8Nt1ki7TM6VhZtAwAAieEmSZKkdnvMt/2z+35W+xNf+VwAOvBffcVz3QMAOuUeAAC04r/6int/Jkl+/z/8wWf+9FK3muEmAFjAcBOtKQ0brfmvN13jX4oCAOB2GG6SJElqt2f/k9fd97PaR3/t7adP/OtfB+DG/a3v/nH3AIBOuQcAAK2Ifi75xB/84Wf+9FK3muEmAFjAcBOtSQNF0aDRUBpKiradqjRItdZxAAC4TYabJEmS2s1wE0C/LGwH6Jd7AADQCsNNfWa4CQAWMNxEi0pDR8nSwaOaY0TbAQBAZrhJkiSp3Qw3AfTLwnaAfrkHAACtMNzUZ4abAGABw020qOZfb0rS46Ltx6ShqD2GpwAAuH2GmyRJktrNcBNAvyxsB+iXewAA0ArDTX1muAkAFjDcRKtqBpCS9LiaIac0rFQ7NJX2Ge0DAACGDDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguImWRYNHJWkw6Vz0uDH+1SYAAGoYbpIkSWo3w00A/bKwHaBf7gEAQCsMN/WZ4SYAWMBwEy1LQ0bR8NGWDDYBAFDLcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGm2jdngNOBpsAAJjCcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmziKxz7+seFA0loMNgEAMJXhJkmSpHYz3ATQLwvbAfrlHgAAtMJwU58ZbgKABQw3cSTPes63rT7klPZnsAkAgDkMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcBMALGC4iSNaY8gp7cNQEwAASxhukiRJajfDTQD9srAdoF/uAQBAKww39ZnhJgBYwHATR5eGlPKw06WBp/Tf8+MMNAEAsBbDTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MNwHAAoabAAAA5jHcJEmS1G6GmwD6ZWE7QL/cAwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+WdgO0C/3AACgFYab+sxwEwAsYLgJAABgHsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcBAALGG4CAACYx3CTJElSuxluAuiXhe0A/XIPAABaYbipzww3AcAChpsAAADmMdwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmwAAAOYx3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw00AsIDhJgAAgHkMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MNwHAAoabAAAA5jHcJEmS1G6GmwD6ZWE7QL/cAwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+WdgO0C/3AACgFYab+sxwEwAsYLgJAABgHsNNkiRJ7Wa4CaBfFrYD9Ms9AABoheGmPjPcBAALGG4CAACYx3CTJElSuxluAuiXhe0A/XIPAABaYbipzww3AcAChpsAAADmMdwkSZLUboabAPplYTtAv9wDAIBWGG7qM8NNALCA4SYAAIB5DDdJkiS1m+EmgH5Z2A7QL/cAAKAVhpv6zHATACxguAkAAGAew02SJEntZrgJoF8WtgP0yz0AAGiF4aY+M9wEAAsYbgIAAJjHcJMkSVK7GW4C6JeF7QD9cg8AAFphuKnPDDcBwAKGmwAAAOYx3CRJktRuhpsA+mVhO0C/3AMAgFYYbuozw00AsIDhJgAAgHkMN0mSJLWb4SaAflnYDtAv9wAAoBWGm/rMcBMALGC4CQAAYB7DTZIkSe1muAmgXxa2A/TLPQAAaIXhpj4z3AQACxhuAgAAmMdwkyRJUrsZbgLol4XtAP1yDwAAWmG4qc8MNwHAAoabAAAA5jHcJEmS1G6GmwD6ZWE7QL/cAwCAVhhu6jPDTQCwgOEmAACAeQw3SZIktZvhJoB+WdgO0C/3AACgFYab+qyb4aZv+Sf/39P/+8HXA8Cq/i/f+P333G/S/44eBwAAwL3Sn9cNf59KDDdJkiS1keEmgH5Z2A7QL/cAAKAVhpv67CaHm77jZW+8780MAAAAALQt/bmeJEmSrp/hJoB+WdgO0C/3AACgFYab+sxwEwAAAADQBMNNkiRJbWS4CaBft7qw/Rf/2Y+c/p/P/FunL/lzf+70WZ/1WfdJ/z1Jj0mPjfYBcOsMNwEArTDc1GeGmwAAAACAJhhukiRJaqMjDDelxefR4vQaeQF7XsRuITvAo25pYXv6bE+f9dG9oEbaNtovwK26hXtA+uyPPtNrRPsDAK7DcFOfGW4CAAAAAJpguEmSJKmNbn24aUweeIqOCdCD3he2R9K9wRAs0INbuAdEn+O1ov0BANdhuKnPbnK4KZUWQgz9y1/9dwCwuh99/W/cc79J/zt6HAAAAPcb/j6VSJIkqY16Hm4a8i92AD06+sL2Jf9SU4n7AnDrjn4PWPo7QrRPAOA6DDf12c0ON0mSJEmSJEmSJEmSpme46V7+JSegJ0dd2L72v9Z0iQEn4JYdebhpjftAtF8A4DoMN/WZ4SZJkiRJkiRJkiRJ0l2Gm+5nMTvQiyMubN9rsGkoHTM6F4AjO/Jw0xr/cl+0XwDgOgw39ZnhJkmSJEmSJEmSJEnSXYabYgacgB4cbWH7NQabMgNOwK056nDTWveCaN8AwHUYbuozw02SJEmSJEmSJEmSpLsMN11mwAm4dUdb2D71X+pI949oKCn9t/S1KftzTwBuzRGHm9Ycco32DwBch+GmPjPcJEmSJEmSJEmSJEm66xaGmy79axrpv+cF7FMXsWdpu2jfALfgSAvbS/eCoUv3hciU+4MBJ+CWHHG4aYrSfSPaBgC4DsNNfWa4SZIkSZIkSZIkSZJ01y0PN10yZSF7Eu0D4BYcZWF7+pyPPp/PLRk+qr0vTL3nALTKcFO8HQCwP8NNfWa4SZIkSZIkSZIkSZJ0V4/DTVnarmYxu3+pA7hVR1nYXroPJGt8Vu91HIAWGG6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7up5uCmrGXCKtgM4uqMsbI8+l4fWHDiquSek+1K0LcCRGG6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7jLc9GmlxewWsgO36AgL20v3gCTabonSPWHNYSqAazHcFG8HAOzPcFOfGW6SJEmSJEmSJEmSJN1luOlR0b4zC9mBW3SEhe3RZ/LQWveAobTP6FhD0XYAR2K4Kd4OANif4aY+M9wkSZIkSZIkSZIkSbrLcNOjLIAEetP6wvZrDhmV/vWmLYaqAPZkuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvaL9Z+k8om0Ajurow01bfi6X7j3uCcDRGW6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7jLcdK+xf6nDQnbg1rS+sH3Pz/9IdMzMPQE4OsNN8XYAwP4MN/WZ4SZJkiRJkiRJkiRJ0l2Gm+41NtyUvhZtA3BUrS9sH/tMTqJt1uSeANwyw03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXYab7jV2LAvZgVvT+sL29Jk8JtpmTYabgFtmuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvcaOZSE7cGtufWH7UoabgFtmuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvQw3AT0x3DQuuhdk6X4RbQNwFIab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLsMN91r7FgWsgO3xnDTuOhekLknAEdnuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DTvaL9ZxayA7fGcNNl6d4S3QuyNe89ANdguCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3DToyxkB3pjuOmy6D4w5J4AHJ3hpng7AGB/hpv6zHCTJEmSJEmSJEmSJOkuw02P2nsBZDrvJB33S/7cnwuPmf57kh4T7WNvY+d7zXNt/Voe8bWmD4abYun7Nfo+HYq2AzgSw03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXYabHhXtO1tz4KT0fMasMfxSWrQfXc8555zOda3X5pJrX8uS1s8PDDfF0vdf9H2Z+d4EboHhpng7AGB/hpv6zHCTJEmSJEmSJEmSJOkuw02fVlrIvsYxSkNFUywZHCqdx3C/a5xzOtfh8dfQyrW8pPXzg8xw0/1qvn99TwK3wHBTvB0AsD/DTX1muEmSJEmSJEmSJEmSdJfhpvJgUxJtN0XNMeaYMzhUWrifr2fNAv9ac87zkpauZaT184Mhw033qvnc8682AbfCcFO8HQCwP8NNfWa4SZIkSZIkSZIkSZJ0V8/DTWm7mkGUuftP1hwQumTq0EvpnNLXtzjvpcM5LV7LodbPDyKGm+619T0BoCWGm+LtAID9GW7qM8NNkiRJkiRJkiRJkqS7ehxuSo+vWcCetD7skk05z9J5bXneU1+rrNVrmbV+fnCJ4aZH1dwX/KtNwC0x3BRvBwDsz3BTnxlukiRJkiRJkiRJkiTddcvDTem/Z2kfNQvXz0X7rTX1eOkch9L2U/aRHhudx7mlgzj5vKaeX1J7juemHmeva5m1fn5wieGmT6v9XIy2BTgqw03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXbcw3LSVtNg9Op8ateechlRqjlO7v5p9zRluSseP9jVUO5xTs6+hlq9l0vr5wRjDTfWfib7ngFtjuCneDgDYn+GmPjPcJEmSJEmSJEmSJEm6y3BTbMki9q0WyqfHlwaI0tejbYdqzy+p2d9Qzb6n7PNWruW1zg9Keh9u2up7GOAIDDfF2wEA+zPc1GeGmyRJkiRJkiRJkiRJdxluulcaGFm6iL00lJIsOUZp/+l6RdtltYv55w7P1Ow/2i7S+rVs/fygpPfhpprv4fSYaFuAozPcFG8HAOzPcFOfGW6SJEmSJEmSJEmSJN1luOlRS4ZQsprBnjWOE+03Ky3ErznHZMuhnGibc61fy9bPD2r0PNxU+pxKfI8Bt8xwU7wdALA/w019ZrhJkiRJkiRJkiRJknSX4aZ1//Wb0rmudawlizVrhnKWnuca12GNfdQoHSfaJmn9/KBGr8NNpe+rLNoW4FYYboq3AwD2Z7ipzww3SZIkSZIkSZIkSZLu6nG4Ke0vWeNf1TkXHW8o2mausX91pPV/cShd/2iboWi7oWibueZcy+ixQ9E2c819raGkx+Gmms/AZIt7BEBLDDfF2wEA+zPc1GeGmyRJkiRJkiRJkiRJd93CcFMeVkrGhkCyrRaslxbMp/OLtptr7LqMDbzULOyPtpsq2m9WuhatX8ujvNZQ0ttwU83nX5IeF20PcEsMN8XbAQD7M9zUZ4abJEmSJEmSJEmSJEl33cJw0/ki9JoBp+Hj13KNBZTRcbLo8clegzljr0NpIKf1a3mU1xpKehtuir5/zq31GQjQOsNN8XYAwP4MN/WZ4SZJkiRJkiRJkiRJ0l23ONyURI8b2uJfuykNVUXbLBUdJ7v0L48cYbip9Wt5lNcaSnoabip93yalzyaAW2K4Kd4OANif4aY+M9wkSZIkSZIkSZIkSbrrVoebSgM8yVpDPFl0jKG0aH5t0XGyS8/vCMNN0TZDw2uwlug42fk1iR4zFO1/qeg42drvZfrRy3BT6XsoSY+JtgW4VYab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLtudbgpqVnMvua/eBPt/5ouDbyUhpvWuiZj1780RBBtc01Th5v2ZriJuXoYbip95mVr3g8AjsBwU7wdALA/w019ZrhJkiRJkiRJkiRJknTXLQ83JdHjh9b6lzpqF8/v6dJzK53rWgv85w43tX4tj/RaQ8mtL2yv/X5d63MP4EgMN8XbAQD7M9zUZ4abJEmSJEmSJEmSJEl33fpwU83C9jUGQ4408FI617UW+afjR/tPxq5569fySK81lNz6wvbo++Wcf/kM6JXhpng7AGB/hpv6zHCTJEmSJEmSJEmSJOmuWx9uSsaGbLKlAz1HGngpnevSa5GNXfexYZzWr+WRXmsoueWF7WOfQZnvHaBnhpvi7QCA/Rlu6jPDTZIkSZIkSZIkSZKku3oYbkpqFrlH29U60sBL6VxrrmeNsWs+NlDQ+rU80msNJbe6sH3s8yfzfQP0znBTvB0AsD/DTX1muEmSJEmSJEmSJEmSdFcvw001AylLFrqX9l9zjnvZ61zHhgvGrnXr17L184MpbnFhe+l7NPO9CvTOcFO8HQCwP8NNfWa4SZIkSZIkSZIkSZJ0Vy/DTUlpP0l6TLRtjWh/2ZL9rm2v4Zy5w01JtE3WwrWMzitr6bWGkltb2G6wCaCe4aZ4OwBgf4ab+sxwkyRJkiRJkiRJkiTprp6Gm5KxgZts7qL3aF+Z4aZ7GW6CNtzSwvbSZ1u21mccwNEZboq3AwD2Z7ipzww3SZIkSZIkSZIkSZLu6m24KYn2cS7armTJMM+ejjDc1Pq1bP38oNYtLWwf+77MfH8CPMpwU7wdALA/w019ZrhJkiRJkiRJkiRJknRXj8NNpeGeZM4C+NLC+mibazj6cFMSbbOno7zWUHIrC9tL35NJ6XMHoDeGm+LtAID9GW7qM8NNkiRJkiRJkiRJkqS7ehxuSmoWwqfjRtteUjrPqfurlZ7LlH0fYbip9WvZ+vlBrVtY2F76fsyibQF6Zrgp3g4A2J/hpj4z3CRJkiRJkiRJkiRJuqvX4aYk2te5qfuO9jEUbbPE8NqkwZea8z3CcFMSbTcUbbPE1Gs5PJdItM0Sc15rKDn6wvbS51nm+wXgfoab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLt6Hm6qWRRfM4QzNDbQk0zd35hL5186Rul5rzUEMHYtaq5D69ey9fODGkde2F76LMvW+kwDuDWGm+LtAID9GW7qM8NNkiRJkiRJkiRJkqS7eh5uSkoDKsmUAZKaxfZrLLSvOU66bnO2XeP8krFrW3NNW7+WrZ8f1Djywvboe+Gc7w2Ayww3xdsBAPsz3NRnhpskSZIkSZIkSZIkSXf1PtyU1Aw4TTnG2vs7VzPsklw6Rmn7Jec2tHS4KWn9WrZ+flBy1IXtNd97tZ8zAL0y3BRvBwDsz3BTnxlukiRJkiRJkiRJkiTdZbipfoAk2jZSu785C+9L1yIbuyal81t6PbOx4YPa5370a5ld6/yg5IgL28c+W4aibQF4lOGmeDsAYH+Gm/rMcJMkSZIkSZIkSZIk6S7DTZ9WM0gyZUCldjAlSY+N9pGl5zdlf6XzLA3krDUsMzaAcCvXMmn9/GDM0Ra2lz6/9uT7Dzg6w03xdgDA/gw39ZnhJkmSJEmSJEmSJEnSXYabHjU2jJOVhlOGavZ3Lm0zFD1mTNomOpeh0nDAHtez5jyH5l6LoegxY9I20blE5u5/KHrMmLRNdC4wxZEWtrc02JT4HgSOznBTvB0AsD/DTX1muEmSJEmSJEmSJEmSdJfhpntF+z835Xhzhlbmql1of8ThpqTFaznU+vlB5CgL21sbbEp8HwJHZ7gp3g4A2J/hpj4z3CRJkiRJkiRJkiRJustw071qFtBPXdC+x9DLlHM66nBT0tq1PNf6+cG5oyxs3+N7ayrfi8DRGW6KtwMA9me4qc8MN0mSJEmSJEmSJEmS7jLcdL+aRfRTF7VvuTB/6vM/8nBT0tK1jLR+fjB0hIXtW35PLbHkcwygBYab4u0AgP0Zbuozw02SJEmSJEmSJEmSpLsMN8Wi45ybetz0+DUX6afrMue5p22i/WVrXc+x57p0KKCVa3lJ6+cHWesL29P7PvqeaMHSzzGAazPcFG8HAOzPcFOfGW6SJEmSJEmSJEmSJN1luClWu6B+zrHTNksGX5YOupSe25J9D409x7WGAq59LUtaPz9oeWF7eu9H3xetWOtzDOBaDDfF2wEA+zPc1GeGmyRJkiRJkiRJkiRJdx1huOmWpUWXydgATH6MIZdxrV/L1s+PPt36wnYALnMPAABaYbipzww3SZIkSZIkSZIkSZLuMtwE0C8L2wH65R4AALTCcFOfGW6SJEmSJEmSJEmSJN1luAmgXxa2A/TLPQAAaIXhpj4z3CRJkiRJkiRJkiRJustwE0C/LGwH6Jd7AADQCsNNfWa4SZIkSZIkSZIkSZJ0l+EmgH5Z2A7QL/cAAKAVhpv6zHCTJEmSJEmSJEmSJOkuw00A/bKwHaBf7gEAQCsMN/WZ4SZJkiRJkiRJkiRJ0l2GmwD6ZWE7QL/cAwCAVhhu6jPDTZIkSZIkSZIkSZKkuww3AfTLwnaAfrkHAACtMNzUZ4abJEmSJEmSJEmSJEl3GW4C6JeF7QD9cg8AAFphuKnPDDdJkiRJkiRJkiRJku4y3ATQLwvbAfrlHgAAtMJwU58ZbpIkSZIkSZIkSZIk3WW4CaBfFrYD9Ms9AABoheGmPjPcJEmSJEmSJEmSJEm6y3ATQL8sbAfol3sAANAKw019ZrhJkiRJkiRJkiRJknSX4SaAflnYDtAv9wAAoBWGm/rMcJMkSZIkSZIkSZIk6S7DTQD9srAdoF/uAQBAKww39ZnhJkmSJEmSJEmSJEnSXYabAPplYTtAv9wDAIBWGG7qM8NNkiRJkiRJkiRJkqS7DDcB9MvCdoB+uQcAAK0w3NRnhpskSZIkSZIkSZIkSXcZbgLol4XtAP1yDwAAWmG4qc8MN0mSJEmSJEmSJEmS7jLcBNAvC9sB+uUeAAC0wnBTnxlukiRJkiRJkiRJkiTdZbgJoF8WtgP0yz0AAGiF4aY+M9wkSZIkSZIkSZIkSbrLcBNAvyxsB+iXewAA0ArDTX1muEmSJEmSJEmSJEmSdJfhJoB+WdgO0C/3AACgFYab+sxwkyRJkiRJkiRJkiTpLsNNAP2ysB2gX+4BAEArDDf1meEmSZIkSZIkSZIkSdJdhpsA+mVhO0C/3AMAgFYYbuozw02SJEmSJEmSJEmSpLsMNwH0y8J2gH65BwAArTDc1GeGmyRJkiRJkiRJkiRJdxluAuiXhe0A/XIPAABaYbipzww3SZIkSZIkSZIkSZLuMtwE0C8L2wH65R4AALTCcFOfGW6SJEmSJEmSJEmSJN1luAmgXxa2A/TLPQAAaIXhpj4z3CRJkiRJkiRJkiRJustwE0C/LGwH6Jd7AADQCsNNfWa4SZIkSZIkSZIkSZJ0l+EmgH5Z2A7QL/cAAKAVhpv6zHCTJEmSJEmSJEmSJOkuw00A/bKwHaBf7gEAQCsMN/WZ4SZJkiRJkiRJkiRJ0l2GmwD6ZWE7QL/cAwCAVhhu6jPDTZIkSZIkSZIkSZKkuww3AfTLwnaAfrkHAACtMNzUZ4abJEmSJEmSJEmSJEl3GW4C6JeF7QD9cg8AAFphuKnPDDdJkiRJkiRJkiRJku4y3ATQLwvbAfrlHgAAtMJwU58ZbpIkSZIkSZIkSZIk3WW4CaBfFrYD9Ms9AABoheGmPjPcJEmSJEmSJEmSJEm6y3ATQL8sbAfol3sAANAKw019ZrhJkiRJkiRJkiRJknSX4SaAflnYDtAv9wAAoBWGm/rMcJMkSZIkSZIkSZIk6S7DTQD9srAdoF/uAQBAKww39ZnhJkmSJEmSJEmSJEnSXYabAPplYTtAv9wDAIBWGG7qM8NNkiRJkiRJkiRJkqS7DDcB9MvCdoB+uQcAAK0w3NRnhpskSZIkSZIkSZIkSXcZbgLol4XtAP1yDwAAWmG4qc8MN0mSJEmSJEmSJEmS7jLcBNAvC9sB+uUeAAC0wnBTnxlukiRJkiRJkiRJkiTdZbgJoF8WtgP0yz0AAGiF4aY+M9wkSZIkSZIkSZIkSbrLcBNAvyxsB+iXewAA0ArDTX1muEmSJEmSJEmSJEmSdJfhJoB+WdgO0C/3AACgFYab+sxwkyRJkiRJkiRJkiTpLsNNAP2ysB2gX+4BAEArDDf1meEmSZIkSZIkSZIkSdJdhpsA+mVhO0C/3AMAgFYYbuozw02SJEmSJEmSJEmSpLsMNwH0y8J2gH65BwAArTDc1GeGmyRJkiRJkiRJkiRJdxluAuiXhe0A/XIPAABaYbipzww3SZIkSZIkSZIkSZLuesp3/8x9iwe+9Jn/2+mJ3/YSAG7cf/v1LwjuAfFjAbgt7gEAQCv+279y/88lhptuP8NNkiRJkiRJkiRJkqS7Pu+ZP3Lf4gEAAAAAgGv56Mc/+Zk/vdStZrhJkiRJkiRJkiRJknSX4SYAAAAAoCWGm24/w02SJEmSJEmSJEmSpLsMNwEAAAAALTHcdPsZbpIkSZIkSZIkSZIk3fUl/+Dl9y0e+D99wwtO/81TAbh1//XXPD+4B/yj8LEA3Bb3AACgFf/113zPfT+XfOIP/vAzf3qpW81wkyRJkiRJkiRJkiTprmf/k9fdt3jgHR955+k9H/83ANy4b3zxT7gHAHTqFu8B7/7YO0/v/PVfPL3tlf/s9NYX/b9Ob/z733p6w9/8n04PPv3rTq/72q8+/dKTv/z0i0983Ok1X/j5p5//3D/9iPR/p/+WvpYekx6btknbpn2kfaV9pn1HxwQAlot+LjHcdPsZbpIkSZIkSZIkSZIk3WW4CaBfhpsA+nX0e8C/+e1fPb3tFT9y+t+/6/9++uVnPPX02q/80tPP/+k/ual0jHSsdMx07HQO0bkBANMYbuozw02SJEmSJEmSJEmSpLsMNwH0y3ATQL+Odg9494ffcXr7q192evNz//7pdQ98VTh8dA3pXNI5pXNL5xidOwAwznBTnxlukiRJkiRJkiRJkiTdZbgJoF+GmwD6dYR7wG+87y2nX/3h7z29/uv/r+FgUYvSuaZz/o3f/JXwOQEA9zPc1GeGmyRJkiRJkiRJkiRJdxluAuiX4SaAfrV8D3jbT//w6Q3f+tfC4aEjSc/h137qJeFzBAAeZbipzww3SZIkSZIkSZIkSZLuMtwE0C/DTQD9au0e8K8e/MnTm779mafXfMGfDQeFjiw9p/Tc0nOMnjsA9M5wU58ZbpIkSZIkSZIkSZIk3WW4CaBfhpsA+tXKPeAdv/AvTg8+7evCoaBb9ODTvvb09tf8i/BaAECvDDf1meEmSZIkSZIkSZIkSdJdhpsA+mW4CaBf174HvP2V/+z0+qf+38IBoB6k556uQXRtAKA3hpv6zHCTJEmSJEmSJEmSJOkuw00A/TLcBNCva90D3vZT//j0ur/85HDgp0eve+DJj1yT6FoBQC8MN/WZ4SZJkiRJkiRJkvT/Z+9ef2e57wLP+8E83gcrzZ+AVqsdxMJwSaJgiLIGhwQpYdiBDI4UJTiZDQohgqwgIVlWmrETLittwN4di3gNxAmQBOREA3aOL8cXbBOf40uOL0ErVsPygLVA4smMRponvf7a6XJ3/z51+VbX/ft6SW+J8emuqq6qrmrH9ZkDABXDTZJUboabJKncpr4HPPfk13aXP3BTOOCjf/bqvkn7KNp3kiRtPcNNZTLcBAAAAAAAAEDFcJMklZvhJkkqt8nuAX9/bff4pz8eDvToYmlfpX0W7ktJkjaa4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJXbFPeAK1+6Y3fpxreEQzyqL+2ztO+ifSpJ0hYz3FQmw00AAAAAAAAAVAw3SVK5GW6SpHIb8x7w/F89snv4594bDu6oe2kfpn0Z7WNJkraU4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJXbWPeAq1+9a/f1H35TOKyj/C695U2v7tNoX0uStJUMN5XJcBMAAAAAAAAAFcNNklRuhpskqdzGuAc88ZufCgd0puze7/2u3f3vfNvu4Z9//+6Jz/zq7soXb989c98Xds899qe7bz597+7ai5d3L/yHJ3cvvfzcq6X/+/mXHt598+q9r74mvTa9J703LSMtKy0zWteUpX0b7XNJkraQ4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJXbkPeA57/18O7yB24Kh3LG7tLb/4fdY5/4yO7ql+7YXbv2QLh9Q5SWndaR1pXWGW3L2KV9nPZ1tH2SJK05w01lMtwEAAAAAAAAQMVwkySVm+EmSSq3oe4BV++5c3ff9W8Mh3HG6N7v/+7do//zh3ZX7r5td+2Fh8JtmqK07rQNaVvSNkXbOkZf/6E3vbrPo22SJGmtGW4qk+EmAAAAAAAAACqGmySp3Aw3SVK5DXEPeOr3PxsO4IzR5Ztv2l354m27l15+NtyWOUvblLYtbWO07WOU9n20LZIkrTHDTWUy3AQAAAAAAABAxXCTJJWb4SZJKrdz7wFP3nZLOHQzZJfeccMr67l19/xLl8NtWGJpW//ylW1O2x59piFL+ybaBkmS1pbhpjIZbgIAAAAAAACgYrhJksrNcJMklds594Anfv0T4bDNUD3wE2/fPXX374TrXlPpM6TPEn3GoUrHIlq3JElrynBTmQw3AQAAAAAAAFAx3CRJ5Wa4SZLKre894LFP/kI4ZDNED777nburX74jXO+aS58pfbboMw9ROibReiVJWkuGm8pkuAkAAAAAAACAiuEmSSo3w02SVG597gGP/MLPhsM153bphut3V/7w9nCdWyp9xvRZo31wbunYROuUJGkNGW4qk+EmAAAAAAAAACqGmySp3Aw3SVK55d4Dxvobmx6/5Zd3L738bLjOLZY+a/rM0b44N3+DkyRprRluKpPhJgAAAAAAAAAqhpskqdwMN0lSueXcA5749U+EwzTndPl9P7177vF7wvWVUPrsaR9E++ac0rGK1idJ0pIz3FQmw00AAAAAAAAAVAw3SVK5GW6SpHLreg948rZbwyGac3rytlsurKfU0r6I9tE52b+SpLVluKlMhpsAAAAAAAAAqBhukqRyM9wkSeXW5R7w1O9/Nhye6dult71198z9f3S0Dr346j5J+ybaZ31Lxy5alyRJS8xwU5kMNwEAAAAAAABQMdwkSeVmuEmSyq3tHnD1njvDoZm+PfLRm3cv/u2Vo23Q66V9k/ZRtO/6lo5htC5JkpaW4aYyGW4CAAAAAAAAoGK4SZLKzXCTJJVb0z3ghW89vLvv+jeGAzN9uvzB91xYv+LSvor2YZ/SMXz+lWMZrUeSpCVluKlMhpsAAAAAAAAAqBhukqRyM9wkSeXWdA+4/IGbwmGZPj31+d++sG41940/+Gy4L/uUjmW0DkmSlpThpjIZbgIAAAAAAACgYrhJksrNcJMklVvdPeDx3/hkOCST273f/Z27p++5M1y32kv7Lu3DaN/m9sRvfipchyRJS8lwU5kMNwEAAAAAAABQMdwkSeVmuEmSyi26BzzxlTvD4Zjc7rv+DbtnHvjjcL3q3rOv7MO0L6N9nNvVr94VrkOSpCVkuKlMhpsAAAAAAAAAqBhukqRyM9wkSeV2eg/4pzf+6u6+H3pjOBiTUxrGufLlO8J1Kr+0L4cYcPr6D79p9/xfPRKuQ5KkuTPcVCbDTQAAAAAAAABUDDdJUrkZbpKkcju9B3zqDTeGQzE53fvd3/nq3zYUrU/9S38LVtq30T7P6eGfe2+4fEmS5s5wU5kMNwEAAAAAAABQMdykNfZLv/aLu+uuu6626D2SLma4SZLK7fAe8Ja3fDAchsnt6XvuDNel80v7NtrnuV35kr9VS5K0vAw3lclwEwAAAAAAAAAVw01aY4abpGEy3CRJ5ba/B/yTt//b3V3//AfCQZicvvEHn72wDg3bU5//7XDf53TpxrfsvvX37vWSpGVluKlMhpsAAAAAAAAAqBhu0hoz3CQNk+EmSSq3/T3g/W/+l+EQTE6XP/iecB0avrSvo2OQ0+Of/ni4bEmS5spwU5kMNwEAAAAAAABQMdykNWa4SRomw02SVG7pHvAdP/JL4fBLTo989OZw+RqvR1/Z59GxyOm5J78WLluSpDky3FQmw00AAAAAAAAAVAw3aY0ZbpKGyXCTJJVbugf8mzf8SDj40rVLb3vr7sW/vRIuX+P14v/71O7Sj701PCZdu/yBm8JlS5I0R4abymS4CQAAAAAAAICK4SatMcNN0jAZbpKkcvu1X/xUOPSS0zP3/1G4bI1f2vfRMcnp6lfuCJctSdLUGW4qk+EmAAAAAAAAACpLH266+88//2rRn6ncDDdJw2S4SZLK7e4fuTEceOnak7fdEi5X0/WXt90aHpuuPfiv3hUuV5KkqTPcVCbDTQAAAAAAAABU1jDclIZVDDjpMMNN0jAZbpKkMnv6a78XDrt07fL7fjpcrqYvHYvoGHUtnQvRciVJmjLDTWUy3AQAAAAAAABAZS3DTSkDTtpnuEkapq0ON6X7RbpOvPmtbw6vEemfp9Jr3FskldhD7/2pcNCla889fk+43CXU5R6Q/jwVvX9tpWMRHaOupXMhWq4kSVNmuKlMhpsAAAAAAAAAqKxpuCm1pofQT7f9tK08UDlHad9F+3Rf9B5JF9vScFO65tY9yN6l9N5ouZK0tZ6+7wvhkEvXHr/ll8Plztl+oCm6vre1het/OibRseraM1//QrhcSZKmynBTmQw3AQAAAAAAAFBZ23BTKnrdEjPcNF6Gm6Rh2sJwU9u1Nrf0kHtaZrQuSdpCl2/+mXDApUuXbrh+99LLz4bLnau+Q02nrfm3eTom6dhEx6xLl2++KVyuJElTZbipTIabAAAAAAAAAKiscbhpLf+/qxtuGi/DTdIwrX246Zy/qaktf5OTpC327OUvh8MtXbvyh7eHy52j9Ft76PvAmq/96dhEx6xr6dyIlitJ0hQZbiqT4SYAAAAAAAAAKmscblrLg4eGm8bLcJM0TGsdbmq7vg6VASdJW+uxT340HGzp0oPvfme4zDka+z6Qlh+td+mlYxQduy6lcyNapiRJU2S4qUyGmwAAAAAAAACorHW4KbX0h84NN42X4SZpmNY43DTVYNNha33IXZJOu+8HfyAcbOnS1S/fES5z6qa6D6zx2p+OUXTsupTOjWiZkiRNkeGmMhluAgAAAAAAAKCy5uGm1JIHnNq23XBT/ww3ScO0tuGmqR5oj1rjQ+6SdNiVr/xuONTSpQd+4u3hMqeuz30g/fvCYdFr6lrjtT8dq+gYdunqn3wuXKYkSWNnuKlMhpsAAAAAAAAAqKx9uCm11AGntm033NQ/w03SMK1tuCn3ofR0rYgeTE//LP1ZzvKWeq+RpK498uH3hQMtXXrq7t8Jlzl1Xa/bddf/fW2/Jfet8dqfjlV0DLuUzpFomZIkjZ3hpjIZbgIAAAAAAACgsoXhptQSHzw03DRebQ+kRu+RdLE1DTd1fRA91fRA+2lpuV0fljfgJGmtvfDXT4TDLF269I4bwmVOXZdrde51eoxlLqF0zKJj2aV0rkTLlCRpzAw3lclwEwAAAAAAAACVrQw3pZb24KHhpvEy3CQN01qGm6YYdO3ygHsqZ3BKkpbSNz73W+EgS5eevO3WcJlT1uU+0Pce0OX6v7Zrfzpm0bHsUjpXomVKkjRmhpvKZLgJAAAAAAAAgMqWhptSSxpwatt2w039M9wkDdNahpvavvOpIa7/U61Hkqbuoff8ZDjI0qXnX7ocLnPKouvxYedem9sGnNZ27U/HLDqWXUrnSrRMSZLGzHBTmQw3AQAAAAAAAFDZ2nBTaikPHxpuGi/DTdIwrWW4KfqeHzbkdb/tAfeU67ekNfXS3z0TDrF06fLNN4XLnLK239RD3QParv9ru/anYxcd0y6lcyZapiRJY2W4qUyGmwAAAAAAAACobHG4KbWEhw8NN42X4SZpmNYw3NT2fU9F7zuntgfchxymkqSxe/reu8MBli5d+eJt4TKnLLoOH5Z+c0fvy22qIaqpSscuOqZdSudMtExJksbKcFOZDDcBAAAAAAAAUNnqcFNqqAcd+2a4abwMN0nDtIbhpug7ftgY1/ou957ofZK0xB7/9MfDAZa27v2+79m99PKz4TKnaurf01v625vSsUvHMDq2baVzJlqmJEljZbipTIabAAAAAAAAAKhsebgpNcZD712b+mHMkjLcJA3T0oeb5hwyanvAfc77iyTl9OC73xkOsLT16Mc+FC5vyqLr72HRe84tWs++tf3tTekYRse2rXTORMuTJGmsDDeVyXATAAAAAAAAAJWtDzel5noA3XDTeBlukoZp7cNNY15H264zruGS1tCLf/ONcHilS1fuvi1c5lTNdQ/Y0u/MdAyjY9uldO5Ey5QkaYwMN5XJcBMAAAAAAAAAlRKGm1JzDDgZbhqvLT10Ks3Z0oeb2r7rY1/bo3Xucw2XtIaufvWucHClS9deeChc5lTNeQ+I1rdvTdf/dAyjY9uldO5Ey5QkaYwMN5XJcBMAAAAAAAAAlbUPN735rW8O/3nU1ANOhpvGq+1h1+g9ki629OGmtmt89J4ha1p/+rPoPZK0pP7ill8JB1fauv8dN4TLm7Lo2rtv7Gvwlq7/6VhGx7itdO5Ey5MkaYwMN5XJcBMAAAAAAAAAlbUPN6Uhl7bXHDblgJPhpvEy3CQN0xr+5qamovcMmeEmSWvv4Q+9NxxcaeuxT3wkXN5Utf2OHvs3fbrHROvdF71nqaVjGR3jttK5Ey1PkqQxMtxUJsNNAAAAAAAAAFS2MNzU5XWHjf0w5L6u2678tvTAqTRnSx9umjvDTZLW3v0/3u9v7bn6pTvC5U1V22+9KX7PR+vdt6bf8Vf++N+Fx7itdO5Ey5MkaYwMN5XJcBMAAAAAAAAAla0MN3V57WFTPBBpuGm8DDdJw2S4qbno+rLPNVzS0nvpH66FQytdev75B8NlTlXTcGkqes/QbWXA9dq1B8Jj3KV0DkXLlCRp6Aw3lclwEwAAAAAAAACVLQ03dXn9YWMPOBluGi/DTdIwGW5qLrq+7HMNl7T0rj13KRxYaeve7/2ucHlTFl139011/d3S7810TKNj3VY6h6LlSZI0dIabymS4CQAAAAAAAIDK1oaburznsNP3DpnhpvHa0sOm0pwZbqqv7Rqe/jx6nyQtpatf+71wYKWt+995Y7i8qVrK9XdLvzfvf+fbwmPdVjqHouVJkjR0hpvKZLgJAAAAAAAAgMoWh5u6vG/fm9/65vD9Q9R329We4SZpmAw31RddWw6b6uF6SerbX95+aziw0tbDP//+cHlT1fYbesrrb7T+fWv6LZ+OaXSs20rnULQ8SZKGznBTmQw3AQAAAAAAAFDZ6nBTqu29+8YacDpn2/uU1pdKy02fKVpn+uepOR7G3G9bqm7b9n8evf+wumXsi94j6WKGm+K63D+i90nSknr04x8OB1baeuIzvxoub6qW9DsvWv++Lr9Zl1I6ptGxbiudQ9HyJEkaOsNNZTLcBAAAAAAAAEBly8NNqbaHI/eNMeB07rZ3retnjJpi0KnLkEBU03a1feboPZIuZrgpLl0bo2vLvrGvm5I0RI985GfDgZW2rnzx9nB5U9V0DR7jN3tTS9qWc0rHNDrWbaVzKFqeJElDZ7ipTIabAAAAAAAAAKhsfbgp1faQ+r6hH1Ace7ip79BQVPrsaXnRevqWltd13zcVbZfhJmmYDDddrMu1dejrpSSN0eUP3BQOrLT1zH1fCJc3VdF1d9/Uw6VNv2WH/neHMUvHNDrWbaVzKFqeJElDZ7ipTIabAAAAAAAAAKiUMNyU6jpkM+RDikNte9QQQ0NRQ33+tuGj3E63y3CTNEyGm47rMtg09YP1ktS3B3/mX4QDK20999ifhsubqujau2/qa/BWfnOmYxod67bSORQtT5KkoTPcVCbDTQAAAAAAAABUShluSk094DTGcFOXB+/P7dzP33U/53a4XVt50FSaO8NNx3W5fqXrcPReSVpaD7zrx8KBlba+efXecHlTFV179xlu6tc3n743PNZtpXMoWp4kSUNnuKlMhpsAAAAAAAAAXhE9vCVJkiRJ0pb6s+CfSZKkdfR//5+3f/t/zd4ew00AAAAAAAAAr4j+Y7EkSZIkSZIkSUvIcBMAAAAAAADAxkX/sViSJEmStpC/rUfn5hySJGn+DDcBAAAAAAAAbFz0H4slSZIkaQsZTNG5OYckSZo/w00AAAAAAAAAGxf9x2JJkiRJKrrvCv6ZJEmSZslwEwAAAAAAAMDGRf+xWJIkSZLK7r8L/pkkSZLmyHATAAAAAAAAwMZF/7FYkiRJkjaRv4FJ5+YckiRp9gw3AQAAAAAAAGxc9B+LJUmSJKnk/iz4Z5IkSZonw00AAAAAAAAAGxf9x2JJkiRJkiRJkpaQ4SYAAAAAAACAjYv+Y7EkSZIkSZIkSUvIcBMAAAAAAADAxkX/sViSJEmSttCfBf9Mysk5JEnS/BluAgAAAAAAANi46D8WS5IkSZIkSZK0hAw3AQAAAAAAAGxc9B+LJUmSJEmSJElaQoabAAAAAAAAADYu+o/FkiRJkrSF7g3+WZf6vk/LzbkgSdJ6M9wEAAAAAAAAQBE+dueDu+vefutRz/x/13bf+scXF9Hdf/753XXXXVfbL/3aL4bvG7K2bdj35re+Oet9TdvedZ1Tdvj52rYv/fnh5xmjaL37otdLutj7/48vLfoecG7R9eG0Ke4jkjRHL/3DtfAB2S49//yD4TKnKrpe7zv9zT1W6f4QrX9f9J4ldu3aA+Ex7lI6h6JlSpI0dNG/m/7H//xfvv2/XrJVhpsAAAAAAAAAqBhu6lbXYaOcASDDTecVrXdf9HpJF9vycFO6ZkXXh8OmekBekubq/h+/IRxaaevKl+4IlzdVTdfwqa7d0br3rWkw9sof/7vwGLeVzp1oeZIkjZHhpjIZbgIAAAAAAACgYripe10elE/tH7g03HTxcw1ZtN590eslXWyrw01drtdTPRwvSXP28IfeGw6utPXYJz4SLm+q0u/k6Nq9L3rPkC3p30HOLR3L6Bi3lc6daHmSJI2R4aYyGW4CAAAAAAAAoGK4Ka+cAadztn0Jw0NtRdu1b+zj0rZ/ovdIutgWh5varg/7lnAdlaSx+4tbfiUcXGnr/nfM/7f2RNfufWP/1kzLj9a7b033kHQso2PcVjp3ouVJkjRGhpvKZLgJAAAAAAAAgIrhpvxyBpyif76vbduj9+yb43OfFm3XvrG3z3CTNExbG24y2CRJx1396l3h4EqXrj3/ULjMqWr6LZ3+LHrPUEXrPCx6zxK79sJD4bHtUjp3omVKkjRGhpvKZLgJAAAAAAAAgIrhpn51HXBqau3DTXM+cJo+f7TefdF7JF1sS8NNBpsk6WIv/s03wsGVLj11923hMqeq7ffeWNfzpf77R5+uvHIMo2PbpXTuRMuUJGmMDDeVyXATAAAAAAAAABXDTf07d8CpbdvnHB7qUtvnj94zVNH6DoveI+liWxpu6nJNXsK1U5Km7sF3vzMcXmnr0Y99KFzelEXX8n1jXdPnGqoao3QMo2PbVjpnouVJkjRWhpvKZLgJAAAAAAAAgIrhpvPq8jB9XecMN6Wi90xZ24OfYx2btnMiFb1P0sW2MtxksEmS6nv80x8PB1jauvf7vmf30svPhsucqql/D7f9zlzTvSQdu3QMo2PbVjpnomVKkjRWhpvKZLgJAAAAAAAAgIrhpvPr8lB9VNu2zzU8lD5P12VH27VvrIc/2/ZLKnqfpIttYbipyzUhFb1Xkkro6XvvDgdYunTli7eFy5yqtmv80L83237Xr+lvbUrHLjqmXUrnTLRMSZLGynBTmQw3AQAAAAAAAFAx3DRMfQacumx79L7Dovec0+EDpOkztT3AOfUDoG3nw77ovZIutvbhpq7XhKGvRZK0pl76u2fCAZYuXb75pnCZUzbV780u95TofUstHbvomHYpnTPRMiVJGivDTWUy3AQAAAAAAABAxXDTcOUOOHXZ9rZlpj+P3tenun3dtI7DYai6ovf1res+jt4r6WJrHm7q8hB6aqiH3iVpzT30np8Mh1i69PxLl8NlTtVUvzej5R62pvtJOmbRsexSOleiZUqSNGaGm8pkuAkAAAAAAACAiuGmYcsZcOqy7V0e3h/iQcsu66nb3ui1hw01gJWzb6P3S7rYmoebou/+aUu7R0jSXH3jc78VDrJ06cnbbg2XOWVtvwPP/b059vKnLh2z6Fh2KZ0r0TIlSRozw01lMtwEAAAAAAAAQMVw0/BF2xnVddu7DPWcM+DUZbApVbeOLts39gOnp0XLkHSxtQ43TXHdkaQt9cJfPxEOsnTp0jtuCJc5ZV1+r/a57qfldrmnnPNbe47SMYuOZZfSuRItU5KkMTPcVCbDTQAAAAAAAABUDDcNX5eHL1Ndt73r8vo80Jm2IVrWaW0PdEbvOS1tX+6Doen1XR44PS1alqSLrXG4qes1IXqvJJXcIx9+XzjM0qWn7v6dcJlT1vX63/X3Ztff2Ev8942m0rGKjmGX0jkSLVOSpLEz3FQmw00AAAAAAAAAVAw3jVOXhyVztr3rEFKqbblp23KW12VoquvDoam0vHO3se3h1miZki62tuGmnGvN2HW5NkrSkrr6J58LB1q69MBPvD1c5tR1HXCq+705xu/gpZWOVXQMu3TlK78bLlOSpLEz3FQmw00AAAAAAAAAVAw3jdfQ2971Yc7D0nsOi17TVHpPtC1RfZd/WPSa09Lr2h5KjbZP0sXWNNy0pMGmVLoWRdspSUvuvh/8gXCopUtXv3xHuMypi67JY5XuPdE2LLV0jKJj16V0bkTLlCRpigw3lclwEwAAAAAAAAAVw03j1rT9fba96wDQEPV5cH/s7dtvk+EmaZjWMty0tMGmlOEmSWvssU9+NBxs6dKD735nuMypm+qesLbBplQ6RtGx61I6N6JlSpI0RYabymS4CQAAAAAAAICK4abxq/sMfbd9igGncx7aH2v7DrfJcJM0TGsZbpriupfbOddJSZqrZy9/ORxs6dqVP7w9XO7UjT3gtMbBpnRsomPWtXRuRMuVJGmKDDeVyXATAAAAAAAAABXDTdMUfY5ztn3MB/2HeJhz6O07HSIw3CQN0xqGm5Y42JQy3CRprV2++aZwuKVLl264fvfSy8+Gy52jsX9zrqV0TNKxiY5Zly7f/DPhciVJmirDTWUy3AQAAAAAAABAxXDTdJ1+lnO3PS1vyAc60/YMMdi0b6jti7bJcJM0TEsfbjq9bi4pw02S1tozX/9COODStcdv+eVwuXPV9ruwa2v694rT0jGJjlXXnr7vC+FyJUmaKsNNZTLcBAAAAAAAAEDFcNO0HX6eobb93CGitB3RANFQpeX32b6m7Up/Fr1nX/QeSRdb8nBT2/V/7gw3SVpzD733p8Ihl6499/g94XLnrO33YV1j/xYeu3QsomPUtXQuRMuVJGnKDDeVyXATAAAAAAAAAJWlDzdtsf0D++lByujPzyktM9U0TLR/zRwPce63rW775touqdSW/jc3SZLG6emv/V446NK1y+/76XC5S2j/W7fuN2f6Z1v6zZmORXSMupbOhWi5kiRNmeGmMhluAgAAAAAAAKBiuGme9g9VRn8mSVNluEmSyu3uH70xHHbp2pO33RIuV9P1l7fdGh6brj347neFy5UkaeoMN5XJcBMAAAAAAAAAFcNN8+VvKJI0d4abJKncfu0XPxUOvOT0zP1/FC5b45f2fXRMcrr6lTvCZUuSNHWGm8pkuAkAAAAAAACAiuEmSSo3w02SVG7pHvBv3vAj4dBL1y697a27F//2Srh8jVfa52nfR8eka5c/cFO4bEmS5shwU5kMNwEAAAAAAABQMdwkSeVmuEmSyi3dA77jR34pHHzJ6ZGP3hwuX+OV9nl0LHJ67smvhcuWJGmODDeVyXATAAAAAAAAABXDTZJUboabJKnc9veA97/5X4bDLzld/uB7wnVo+NK+jo5BTo9/+uPhsiVJmivDTWUy3AQAAAAAAABAxXCTJJWb4SZJKrf9PeCfvP3f7u765z8QDsHk9NTnf/vCOjRs3/iDz4b7PqdLN75l962/d6+XJC0rw01lMtwEAAAAAAAAQMVwkySVm+EmSSq3w3vAW97ywXAQJren77kzXJfOL+3baJ/nduVLd4TLlyRpzgw3lclwEwAAAAAAAAAVw02SVG6GmySp3E7vAZ96w43hMExO9373d+6eeeCPw/Wpf8++sk/Tvo32eU4P/9x7w+VLkjR3hpvKZLgJAAAAAAAAgIrhJkkqN8NNklRup/eAf3rjr+7u+6E3hkMxOd13/Rt2V77sbwcaqrQv0z6N9nVOX//hN+2e/6tHwnVIkjR3hpvKZLgJAAAAAAAAgIrhJkkqN8NNklRu0T3gia/cGQ7G5JaGcdLfNhStV91LfwvWEINNqatfvStchyRJS8hwU5kMNwEAAAAAAABQMdwkSeVmuEmSyq3uHvDEb34qHI7J7d7v/s7d0/fcGa5b7aV9l/ZhtG9ze/w3PhmuQ5KkpWS4qUyGmwAAAAAAAACoGG6SpHIz3CRJ5dZ0D7j8gZvCIZk+feMPPnth3Wruqc//drgv+5SOZbQOSZKWlOGmMhluAgAAAAAAAKBiuEmSys1wkySVW9M94PlvPby77/o3hsMyfbr8wfdcWL/i0r6K9mGf0jF84ZVjGa1HkqQlZbipTIabAAAAAAAAAKgYbpKkcjPcJEnl1nYPuHrPneHATN8e+ejNuxf/9srRNuj10r5J+yjad31LxzBalyRJS8twU5kMNwEAAAAAAABQMdwkSeVmuEmSyq3LPeCp3/9sODTTt0tve+vumfv/6GgdevHVfZL2TbTP+paOXbQuSZKWmOGmMhluAgAAAAAAAKBiuEmSys1wkySVW9d7wJO33RIOz5xTWubpekptnP17a7guSZKWmuGmMhluAgAAAAAAAKBiuEmSys1wkySVW8494Ilf/0Q4RHNOl9/307vnHr8nXF8Jpc+e9kG0b84pHatofZIkLTnDTWUy3AQAAAAAAABAxXCTJJWb4SZJKrfce8Bjn/yFcJjm3B6/5Zd3L738bLjOLZY+a/rM0b44t3SMonVKkrT0DDeVyXATAAAAAAAAABXDTZJUboabJKnc+twDHvmFnw2Has7t0g3X76784e3hOrdU+ozps0b74NzSsYnWKUnSGjLcVCbDTQAAAAAAAABUDDdJUrkZbpKkcut7Dxjrb3BKPfjud+6ufvmOcL1rLn2m9NmizzxE/sYmSdLaM9xUJsNNAAAAAAAAAFQMN0lSuRlukqRyO+ce8MSvfyIcshmqB37i7bun7v6dcN1rKn2G9FmizzhUj79yLKJ1S5K0pgw3lclwEwAAAAAAAAAVw02SVG6GmySp3M69Bzx5263hsM2QXXrHDa+u5/mXLofbsMTStqZtTtsefaYhe/K2W8JtkCRpbRluKpPhJgAAAAAAAAAqhpskqdwMN0lSuQ1xD3jq9z8bDt2M0eWbb9pd+eJtu5defjbcljlL25S2LW1jtO1j9NTv/+/htkiStMYMN5XJcBMAAAAAAAAAFcNNklRuhpskqdyGugdcvefO3X3XvzEcwBmje7/ve3aPfuxDuyt337a79sJD4TZN0bXnH9o99co2pG1J2xRt6xh9/Yfe9Oo+j7ZJkqS1ZripTIabAAAAAAAAAKgYbpKkcjPcJEnlNuQ94IVvPby7/IHp/taiw+5/xw27xz7xkd3VL92xu3btgXD7higt+8or60jrSuuMtmXs0j5+/pV9HW2fJElrznBTmQw3AQAAAAAAAFAx3CRJ5Wa4SZLKbYx7wOO/8clwKGfK7v3e79rd/8637R7++ffvnvjMr+6ufPH23TP3fWH33GN/uvvm1Xt3z7/08O6F//Dk7qWXn3u19H9fe/Hy7ptP3/vqa9Jr03vSe9My0rLSMqN1TdkTv/mpcJ9LkrSFDDeVyXATAAAAAAAAABXDTZJUboabJKncxroHXP3qXbuv//CbwgEd5XfpLW96dZ9G+1qSpK1kuKlMhpsAAAAAAAAAqBhukqRyM9wkSeU25j3g+b96ZPfwz703HNZR99I+TPsy2seSJG0pw01lMtwEAAAAAAAAQMVwkySVm+EmSSq3Ke4BV750x+7SjW8JB3dUX9pnad9F+1SSpC1muKlMhpsAAAAAAAAAqBhukqRyM9wkSeU22T3g76/tHv/0x8MhHl0s7au0z8J9KUnSRjPcVCbDTQAAAAAAAABUDDdJUrkZbpKkcpv6HvDck1/bXf7ATeFAj/7Zq/sm7aNo30mStPUMN5XJcBMAAAAAAAAAFcNNklRuhpskqdzmugdc/coduwff/a5wwKfEHvxX73p1n0T7SpKkUjLcVCbDTQAAAAAAAABUDDdJUrkZbpKkcpv7HvD0135v99B7fyoc+Cmh9NnTPoj2jSRJpWW4qUyGmwAAAAAAAACoGG6SpHIz3CRJ5baUe8DT931hd/nmnwkHgLbY5Ztv2j3z9S+E+0KSpFIz3FQmw00AAAAAAAAAVAw3SVK5GW6SpHJb2j3g2ctf3j32yY/u7vvBHwiHgtZc+kzps6XPGH12SZJKz3BTmQw3AQAAAAAAAFAx3CRJ5Wa4SZLKbcn3gCtf+d3dIx9+XzgotKbSZ7j6J58LP6MkSXo9w01lMtwEAAAAAAAAQMVwkySVm+EmSSq3NdwDXvjrJ3bf+Nxv7R56z0+Gw0NLLG1r2uYX/p8nw88kSZIuZripTIabAAAAAAAAAKgYbpKkcjPcJEnltrZ7wEt/98zu6Xvv3j3+6Y/vHnz3O8PBojlK25K2KW1b2sZo2yVJUnOGm8pkuAkAAAAAAACAiuEmSSo3w02SVG5rvwe8+Dff2F396l27v7jlV3YPf+i9u/t//IZw+GjI0jrSutI607rTNkTbJkmS8jLcVCbDTQAAAAAAAABUDDdJUrkZbpKkctviPeClf7i2u/bcpd3Vr/3e7i9vv3X36Mc/vHvkIz+7u/yBm3YP/sy/2D3wrh/bXbrxLbv7rn/j7s+/779/tfR/p3+W/iy9Jr02vSe9Ny0jLSstMy07WqckSTo/w01lMtwEAAAAAAAAQMVwkySVm+EmSSo39wBJkrSUDDeVyXATAAAAAAAAABXDTZJUbh5sl6Rycw+QJElLyXBTmQw3AQAAAAAAAFAx3CRJ5ebBdkkqN/cASZK0lAw3lclwEwAAAAAAAAAVw02SVG4ebJekcnMPkCRJS8lwU5kMNwEAAAAAAABQMdwkSeXmwXZJKjf3AEmStJQMN5XJcBMAAAAAAAAAFcNNklRuHmyXpHJzD5AkSUvJcFOZDDcBAAAAAAAAUDHcJEnl5sF2SSo39wBJkrSUDDeVyXATAAAAAAAAABXDTZJUbh5sl6Rycw+QJElLyXBTmQw3AQAAAAAAAFD5sf/lj3fXvePWo77jX9+2+2/+p9slSRvvv373/+YeIEmF5h4gSZKWUvS7xHDT9hluAgAAAAAAAKDy/R+968L/z6iSJEmSJEmSNFcv/+N/+vb/eslWGW4CAAAAAAAAoGK4SZIkSZIkSdKSMty0fYabAAAAAAAAAKgYbpIkSZIkSZK0pAw3bZ/hJgAAAAAAAAAqv3LX5d1/9T/+1lFv/tgfSJIK6L/913e4B0hSobkHSJKkpRT9LmH7DDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAAAAADALw00AAAAAAAAAAAAAAADALAw3AQAAAAAAAAAAAAAAALMw3AQAAAAAAAAAAAAAAADMwnATAAAAAAAAAAAAAAAAMAvDTQAAAAAAAAAAAAAAAMAsDDcBAAAAAAAAAAAAAAAAszDcBAAAAAAAAAAAAAAAAMzCcBMAAAAAAAAAAAAAAAAwC8NNAAAAAAAAAAAAAAAAwCwMNwEAAAAAAAAAAAAAAACzMNwEAAAAAAAAAAAAAAAAzMJwEwAAAAAAAAAAAGzED//y3bvr3n6rvl3aHwAAwLIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAsBGGm44z3AQAAMtnuAkAAAAAAAAAAAA2wnDTcYabAABg+Qw3AQAAAAAAAAAAwEYYbjrOcBMAACyf4SYAAAAAAAAAAADYCMNNxxluAgCA5TPcBAAAAAAAAAAAABthuOk4w00AALB8hpsAAAAAAAAAAABgIww3HWe4CQAAls9wEwAAAAAAAAAAAGyE4abjDDcBAMDyGW4CAAAAAAAAAACAjTDcdJzhJgAAWD7DTQAAAAAAAAAAALARhpuOM9wEAADLZ7gJAAAAAAAAAAAANsJw03GGmwAAYPkMNwEAAAAAAAAAAMBGGG46znATAAAsn+EmAAAAAAAAAAAA2AjDTccZbgIAgOUz3AQAAAAAAAAAAAAbYbjpOMNNAACwfIabAAAAAAAAAAAAYCMMNx1nuAkAAJbPcBMAAAAAAAAAAABshOGm4ww3AQDA8hluAgAAAAAAAAAAgI0w3HSc4SYAAFg+w00AAAAAAAAAAACwEYabjjPcBAAAy2e4CQAAAAAAAAAAADbCcNNxhpsAAGD5DDcBAAAAAAAAAADARhhuOs5wEwAALJ/hJgAAAAAAAAAAANgIw03HGW4CAIDlM9wEAAAAAAAAAAAAG2G46TjDTQAAsHyGmwAAAAAAAAAAAGAjDDcdZ7gJAACWz3ATAAAAAAAAAAAAbIThpuMMNwEAwPIZbgIAAAAAAAAAAICNMNx0nOEmAABYPsNNAAAAAAAAAAAAcKZfu/vRRRQN+JRcGm6K9tPUPfTNv/n2mQIAAJwy3AQAAAAAAAAAAABnSsMr0XCN5G+PAgCAZoabAAAAAAAAAAAAYAAGnHSawSYAAGhnuAkAAAAAAAAAAAAGYsBJ+ww2AQBAN4abAAAAAAAAAAAAYEAGnGSwCQAAujPcBAAAAAAAAAAAAAMz4FRuBpsAACCP4SYAAAAAAAAAAAAYgQGn8jLYBAAA+Qw3AQAAAAAAAAAAwEgMOJWTwSYAAOjHcBMAAAAAAAAAAACMyIDT9jPYBAAA/RluAgAAAAAAAAAAgJEZcNpuBpsAAOA8hpsAAAAAAAAAAABgAgactpfBJgAAOJ/hJgAAAAAAAAAAAJiIAaftZLAJAACGYbgJAAAAAAAAAAAAJmTAaf0ZbAIAgOEYbgIAAAAAAAAAAICJGXBabwabAABgWIabAAAAAAAAAAAAYAYGnNaXwSYAABie4SYAAAAAAAAAAACYiQGn9WSwCQAAxmG4CQAAAAAAAAAAAGZkwGn5GWwCAIDxGG4CAAAAAAAAAACAmRlwWm4GmwAAYFyGmwAAAAAAAAAAAGABDDgtL4NNAAAwPsNNAAAAAAAAAAAAsBAGnJaTwSYAAJiG4SYAAAAAAAAAAABYEANO82ewCQAApmO4CQAAAAAAAAAAABbGgNN8GWwCAIBpGW4CAAAAAAAAAACABTLgNH0GmwAAYHqGmwAAAAAAAAAAAGChDDhNl8EmAACYh+EmAAAAAAAAAAAAWDADTuNnsAkAAOZjuAkAAAAAAAAAAAAWzoDTeBlsAgCAeRluAgAAAAAAAAAAgBUw4DR8BpsAAGB+hpsAAAAAAAAAAABgJQw4DZfBJgAAWAbDTQAAAAAAAAAAALAiBpzOz2ATAAAsh+EmAAAAAAAAAAAAWBkDTv0z2AQAAMtiuAkAAAAAAAAAAABWyIBTfgabAABgeQw3AQAAAAAAAAAAwEoZcOqewSYAAFgmw00AAAAAAAAAAACwYgac2jPYBAAAy2W4CQAAAAAAAAAAAFbOgFN9BpsAAGDZDDcBAAAAAAAAAADABhhwupjBJgAAWD7DTQAAAAAAAAAAALARBpxez2ATAACsg+EmAAAAAAAAAAAA2BADTgabAABgTQw3AQAAAAAAAAAAwMaUPOBksAkAANbFcBMAAAAAAAAAAABsUIkDTgabAABgfQw3AQAAAAAAAAAAwEaVNOBksAkAANbJcBMAAAAAAAAAAABsWAkDTgabAABgvQw3AQAAAAAAAAAAwMZtecDJYBMAAKyb4SYAAAAAAAAAAAAowBYHnAw2AQDA+hluAgAAAAAAAAAAgEJsacDJYBMAAGyD4SYAAAAAAAAAAAAoyBYGnAw2AQDAdhhuAgAAAAAAAAAAgMKsecDJYBMAAGyL4SYAAAAAAAAAAAAo0BoHnAw2AQDA9hhuAgAAAAAAAAAAgEKtacDJYBMAAGyT4SYAAAAAAAAAAAAo2BoGnAw2AQDAdhluAgAAAAAAAAAAgMItecDJYBMAAGyb4SYAAAAAAAAAAABgkQNOBpsAAGD7DDcBAAAAAAAAAAAAr1rSgJPBJgAAKIPhJgAAAAAAAAAAAKCyhAEng00AAFAOw00AAAAAAAAAAADAkTkHnAw2AQBAWQw3AQAAAAAAAAAAABfMMeBksAkAAMpjuAkAAAAAAAAAAAAITTngZLAJAADKZLgJAAAAAAAAAAAAqDXFgJPBJgAAKJfhJgAAAAAAAAAAAKDRmANOBpsAAKBshpsAAAAAAAAAAACAVmMMOBlsAgAADDcBAAAAAAAAAAAAnQw54GSwCQAASAw3AQAAAAAAAAAAAJ0NMeBksAkAANgz3AQAAAAAAAAAAABkOWfAyWATAABwyHATAAAAAAAAAAAAkK3PgJPBJgAA4JThJgAAAAAAAAAAAKCXnAEng00AAEDEcBMAAAAAAAAAAADQW5cBJ4NNAABAHcNNAAAAAAAAAAAAwFmaBpwMNgEAAE0MNwEAAAAAAAAAAABniwacDDYBAABtDDcBAAAAAAAAAAAAgzgccDLYBAAAdGG4CQAAAAAAAAAAABhMGnAy2AQAAHRluAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAAAAAAABgFoabAAAAAAAAAAAAAAAAgFkYbgIAAAAAAAAAAAAAAABmYbgJAAAAAAAAAAAAAAAAmIXhJgAAAAAAAAAAAAAAAGAWhpsAAAAAAAAAAAAAAACAWRhuAgAAAAAAAAAAAAAAAGZhuAkAAAAAAAAAAAAAAACYheEmAAAAAAAAAAAAAAAAYBaGmwAAAAAAAAAAAAAAAIBZGG4CAAAAAAAAAAAAAAAAZmG4CQAAAAAAAAAAAAAAAJiF4SYAAAAAAAAAjtz2758+6tEX/laSVEjuAZJUbu4BkiRpKZ3+LmH7DDcBAAAAAAAAUPn+j961u+7tt0qSJEmSJEnSInr5H//Tt//XS7bKcBMAAAAAAAAAFcNNkiRJkiRJkpaU4abtM9wEAAAAAAAAQMVwkyRJkiRJkqQlZbhp+ww3AQAAAAAAAFAx3CRJkiRJkiRpSRlu2j7DTQAAAAAAAABUPnbngxceHvi/Ln1z94XLL0iSNt47/tcvuQdIUqG5B0iSpKUU/S75j//5v3z7f71kqww3AQAAAAAAAFCJhps8PABQBvcAgHK5BwAAS+F3SZkMNwEAAAAAAABQ8fAAQLncAwDK5R4AACyF3yVlMtwEAAAAAAAAQMXDAwDlcg8AKJd7AACwFH6XlMlwEwAAAAAAAAAVDw8AlMs9AKBc7gEAwFL4XVImw00AAAAAAAAAVDw8AFAu9wCAcrkHAABL4XdJmQw3AQAAAAAAAFDx8ABAudwDAMrlHgAALIXfJWUy3AQAAAAAAABAxcMDAOVyDwAol3sAALAUfpeUyXATAAAAAAAAABUPDwCUyz0AoFzuAQDAUvhdUibDTQAAAAAAAABUPDwAUC73AIByuQcAAEvhd0mZDDcBAAAAAAAAUPHwAEC53AMAyuUeAAAshd8lZTLcBAAAAAAAAEDFwwMA5XIPACiXewAAsBR+l5TJcBMAAAAAAAAAFQ8PAJTLPQCgXO4BAMBS+F1SJsNNAAAAAAAAAFQ8PABQLvcAgHK5BwAAS+F3SZkMNwEAAAAAAABQ8fAAQLncAwDK5R4AACyF3yVlMtwEAAAAAAAAQMXDAwDlcg8AKJd7AACwFH6XlMlwEwAAAAAAAAAVDw8AlMs9AKBc7gEAwFL4XVImw00AAAAAAAAAVDw8AFAu9wCAcrkHAABL4XdJmQw3AQAAAAAAAFDx8ABAudwDAMrlHgAALIXfJWUy3AQAAAAAAABAxcMDAOVyDwAol3sAALAUfpeUyXATAAAAAAAAABUPDwCUyz0AoFzuAQDAUvhdUibDTQAAAAAAAABUPDwAUC73AIByuQcAAEvhd0mZDDcBAAAAAAAAUPHwAEC53AMAyuUeAAAshd8lZTLcBAAAAAAAAEDFwwMA5XIPACiXewAAsBR+l5TJcBMAAAAAAAAAFQ8PAJTLPQCgXO4BAMBS+F1SJsNNAAAAAAAAAFQ8PABQLvcAgHK5BwAAS+F3SZkMNwEAAAAAAABQ8fAAQLncAwDK5R4AACyF3yVlMtwEAAAAAAAAQMXDAwDlcg8AKJd7AACwFH6XlMlwEwAAAAAAAAAVDw8AlMs9AKBc7gEAwFL4XVImw00AAAAAAAAAVDw8AFAu9wCAcrkHAABL4XdJmQw3AQAAAAAAAFDx8ABAudwDAMrlHgAALIXfJWUy3AQAAAAAAABAxcMDAOVyDwAol3sAALAUfpeUyXATAAAAAAAAABUPDwCUyz0AoFzuAQDAUvhdUibDTQAAAAAAAABUPDwAUC73AIByuQcAAEvhd0mZDDcBAAAAAAAAUPHwAEC53AMAyuUeAAAshd8lZTLcBAAAAAAAAEDFwwMA5XIPACiXewAAsBR+l5TJcBMAAAAAAAAAFQ8PwGseffTR3XXXXde59HpYO/cA1uxHf/RHw+tzVHotcMw9AABYCr9LymS4CQAAAAAAAICKhwfgNYabKJF7AGtmuAnO4x4AACyF3yVlMtwEAAAAAAAAQMXDA/Aaw02UyD2ANTPcBOdxDwAAlsLvkjIZbgIAAAAAAACg4uEBeI3hJkrkHsCaGW6C87gHAABL4XdJmQw3AQAAAAAAAFDx8AC8xnATJXIPYM0MN8F53AMAgKXwu6RMhpsAAAAAAAAAqHh4AF5juIkSuQeUJV23PvOZz7w66JNK/3dqrQw3wXncAwCApfC7pEyGmwAAAAAAAACoeHgAXmO4iRK5BzSLvvv71jYsk4aYos+RSp9ljdc0w01wHveAZk3XmDUPhk7JPgSgK79LymS4CQAAAAAAAIDK0h8eiB6E61N6sC619r+lgvEYbqJES7kHNA3e1DW2LteEseVel1LRPa7p4fLD1nZd6/q5Uum1wLE13wOmuF5F6z1sCtF6h8o+jDu9j0avOSf/XgoQM9xUJsNNAAAAAAAAAFRKGW6K2j9UBknuEMHahgAgspR7QO73LzX29bvLNo19HUifMVpvU6fblLOMtQ0Ape2NPkfU2j4bTME9oF6Xa+cS7wE52Ydxp6LXjJF/NwVKZ7ipTIabAAAAAAAAAKiUPNx0mIeeyX2wduyHMWEKS7oHRN+zpsa+bnd5IHrsh5CjdbZ1aIkDA0My3ATnWfM9IDWmLteXsa+XOde4vo1pjfswuldErxuztA1ruhcDDMVwU5kMNwEAAAAAAABQMdx0nIGVchluokRLugf0eYh7TNH6Tosegh5StM6mTh+GTv/v6HVNjf2ZhpRzzqzpc8FUlnQP6HO9GvO3WLS+qDFF6xs6+/C4aKgoet0UpfuWf98ASmK4qUyGmwAAAAAAAACoGG66mIfIypSOe3Q+1OU8YQvW/mB79BDyEHKuB2PJvSalTq9LOcM/h62F4SY4z5LuAUNc84aSsy1jbUPfYa/onzdlHx4XiV43ZWPtH4ClMdxUJsNNAAAAAAAAAFQMN8V5iKw8OQ9hppwjbMHS7gHRd62psQZWch6IHmvAaoiHsg03vZ7hJrho7feAJVx/x9qG3Ov3/hoX/VlT9uHr1d0notdOnX/vAEpguKlMhpsAAAAAAAAAqBhuqo+yGG6iREu7B+Q+iJwaQ7Seuuoehj5XtK6moofDcx4uP2wtcs6XsY4TrNnS7gF9rlljWMK1JVpXU/t7gH34umhdTUX30SR67Rz5dw9g6ww3lclwEwAAAAAAAAAVw031eRC6LIabKNEWHmyvexi5r9xrQWpofbYhuiYtYX+OaQkPz8OaLe0eMNS171zRepoaQ7Sepvbsw9dF62mqTvTauQLYMsNNZTLcBAAAAAAAAEDFcFNzlCP3YdAxHgSFqS3xHhB935pawnDT0NvQZyipTs4AUGpN1zbDTeNI51/aX11jvdwDLupz/R36upm7Daffw+g1TdmHzfeI6PVz5ZoLbJnhpjIZbgIAAAAAAACgssXhpv3Dtqnoz3Ma+mE/lit3oGFNAwBQZ4n3gNxr99AP+vZ5KHvobYjW0VTTvSrn2ra261rOuTL0Mdqy3O8A67WFe0BqSH3WP/S/L+Ruw+n67cPz9+Gh6PVzBrBVhpvKZLgJAAAAAAAAgMrWhpvqHszOfVB3X3owjjIYbqJES7wH9LleDylafpeGFC2/qbbrUfrztge913hNy3l43f28u9zvIOu1lXvAkNevaPldGlK0/KZO2Yfn78ND0eubSvsyKh2XVO7g1WnuZ8BWGW4qk+EmAAAAAAAAACqlDDft9XmYjDKkcyc6/nW1nWuwBku9B0TfuabSw8JDyL0OHDaUPtvQVfRQdfpna72e5dzTPQzeXTonon1YF+u1xHtAn2vgEu4BQ11Hc79/0bXNPjx/Hx6K3tNU18+Rcw87DWCLDDeVyXATAAAAAAAAAJXShpuS3AfJhnrYj2XLfRhzqAcwYU5LvQfkXqfbHkzuKveB6MOGulfkbkPJ96ic82Soc6QEuecg67WVAdct3QNy7391641e25R9WC96T1M5/46Qu637htpXAEtiuKlMhpsAAAAAAAAAqJQ43JT70J2Hx8pguIkSLfUekHudTg0hWm7XhnowPFp2UyVfi3IeCh/q+JQg9/vHerkHHOs7aLJvCNFym6q7B9iH3Wu7j0bvaSr3vtxnn/n3U2CLDDeVyXATAAAAAAAAAJUSh5uS6L11eXisDOnciY5/XbkPLsISLfkeEH3vmjr3Wp17DYg6V59tKJnhpnHkDkWwXku9B/S5Fg7xuyxabk7nbsOQ9wD7sHttovc01eczRMtpyj0N2CLDTWUy3AQAAAAAAABApdThJg9Ecyr3YchzH76EJVjyPSDnOp0691rd54Ho084dsModKil9+Na9fByGm8phwPV1ued91Lm/DXO3oe26Fr2nKfswFr2vqT6fIed+tg9gaww3lclwEwAAAAAAAACVUoebch5880B0GXIHG859+BKWYMn3gD4PSZ9jiIeyz71fRMtsqvTrUM7D4O7l3eV+F1gv94DX9RkuOS1t8zlyt6FtffZhe13WF72vqT735qmPFcASGW4qk+EmAAAAAAAAACqGm9rzQHQZDDdRoq092H7O9zJaXp/6yr0GpUqX8xC7e3l3ud891mvJ94A+18Q13wOSaHlNtbEP2+siel9Tffah4SYAw02lMtwEAAAAAAAAQMVwU3seiC5D7gOg5zz8CUuxtXtAurb3kfv9b2qqbei7ni0x3DSO3IfsWS/3gNcMeQ/o+/sw93vX9ZoWvbcp+/Ci6L1N9dn+Pvuv734CWCrDTWUy3AQAAAAAAABAxXBTe30f8mNdch8q9EAhW7D0e0DO8Eqq7wBL7gPRTU21Da5BhpvGknsusl5Lvwf0uTb3MeQ9IC2rj9z7Xdf12If1dV1P9N6m+tyfc/89JOV3ALA1hpvKZLgJAAAAAAAAgIrhpvb6PmDHuuQ+VOiBQrbAg+2viZbTt75DNNGymsJw01hyv3es19LvAVMNfOQOxbTVR7ScprqyD+vrKnpvU33231THCWDJDDeVyXATAAAAAAAAAJVSh5ui99Y1xYNjaR3pYeL0YGDdw4Hpn6fXpNeu9WG2ugeml/B50jZE21bXkNvcduxTh8d/adI27T9DtM0plmkND5AdnlNdyj3fcr/7XcqVuw1r+07trwPRdW7/z9Kf517fTpfVVHrtWhxeU+s+436f9dlvbdIyo3XWNYSun3foz1o694DXRMs5p9zzNL0+Wk5d6fuQI1pGU/bhsej9TfW5TuVuf6rPerqquyanfz7UtXi/rGg9qfTPhlzfmNL27T/L6WfYf46lfwZYAsNNZTLcBAAAAAAAAEClxOGm9JrovXWNJXoAKrc+D0rlfv7UUA9jRcveN4S0P6JlN7X/bLn75dx9cu7xH+IhuXM/c877z91WxrGGB8hyvyfp9TlyvwddSt/PHLnXrpzvU87+y913Tc65xnW9vo352c45L/rux777a1/uebeXe/7l1KbvutO+cl853xruAbnnSO73YIzzf+xtWPvyu7Skzxi9v6k+16Y++zBaz7n3xa7vj97bRfqcOdt4Wnr/UNf+3Pv86XrT/7vPccs596A0hpvKZLgJAAAAAAAAgEqJw025DyEN7dyHuqJyH/SKltHUEA9hte33nO2vk7tfDx/MS+uPXlNX3+0d+vinZfXdlnM+c+5n6LuNjGuLD7ancnRdfs45f3ht6SJaRlM5xtzuSJ/jVVfbdWOsz5Z7bTyszz7M+RxdSscgx5DH7LQ6aR8P9bndX/pbwz2gz/cxR5fzML0m93uSI/e7kMs+vFiO6P1N9bkm9bkOR3L2Q3rtXu45cvjeLnKPT5fOvfbnfubD9Q3xeXLv1VACw01lMtwEAAAAAAAAQKW04abch5iGfOgorXuMB7sO67q9ufsh1bZv27R99iH2dbTcpg7XmbtP+uyPMY9/n/3X9zP3+Rws01oeIIvOqaZyvg/R+09Ly0tFf1ZXV7nfw9zves73Nb22r9zP0aW27Rnrs+Us97Dc/TfGPtuXtmV/zW6Te27nFBnrXOn6eXndVu8BOedC9P7T0nck97zNEb2/rtzrzF60rKbsw9dFy2iqz7UoWk5bkfTZotdG7fdD7nFJdf0tMub9JXXOtT/3c6fX99lXTfX9PsNWGW4qk+EmAAAAAAAAAColDTf1eRhpKEM/CNVU14ekovc21fUhtjrRMk87R+7Dc6f7KfcYNZ1rp9Jr0/qi5QxZ7gNyfT5z38/BMq3lAbLc867rd6Hrd2D/fY/+rK6u18w+38McOfsu9xqy1/e60Fbb9ozx2fp+lq7L3+u7nty6nC9jPnx+Kvd8zyn3GGDAtev5mF6Xe+52+e4lud+/rp/tVLSspuzD10XLaKrrdu/l7pdU3fUu596SXttn3aku+3Cq+1wqd58nuZ899zzLqc/2wxYZbiqT4SYAAAAAAAAAKlsbbto/pLUvPYTU90Gk3Aff6oz5IFRd+/3QpM929dV1Xec82JX7AN3p8U3rjl5XV9dtzV3uuaX90NVU25azTUxrLQ+Q5V6vup5zXZe7l3OdGXob9uUaY5sP5Sw/t7btGfqz9f0sXZZ9qO96+tZ2v8o9B3M6NeZnJ99W7wGpLnLvAdGf1ZWW3UXud6Iv+/D1ckXLaKrrvyPs9bku1u2bqe4vTZ8x/dlU23FY1/Nlb6p/D+pa7nkDW2S4qUyGmwAAAAAAAACobG24aajSA1lD6PMg4ZC1id7TVN+HrqJl1dVXtKymTuU+4NZ1X0TvHbuu5+9UD/XlPmzIdNb0AFl0bjXVRfS+0w7P39xrehfR++rq813KecA499439sPLbdsz5Gfrez3M3Wdz/S5oumeNuU2HxlxP13syx9ZyD+jz/exyTnS5hhx+x+e+B+Rebw7Zh6/VZx9Gy2kq53rUZf9F1a2j7/JyaxK9fqrS+dVVn+/EmPU5N2FrDDeVyXATAAAAAAAAABXDTXFDWMIDU20PSeU+YJjzwNhe7jpyHgjcG+Jz5B6vLts51QOGUV22b6pztM95wzTW9ABZ7vep7bzrev6ffpei19TV9j3M/Q62LS+Ss99yHqyd4vrWtj1Dfbbc43BYzjE5Zz3n1vT5c++hOR0a65xpO0+ot+UB1y6/PaL3nXa4nKGv2bnLO/f3VLTMpuzD10TLaaptm5P0mnOuiXXGus6eVmeq9TfVZf8nuefOFLmfUTrDTWUy3AQAAAAAAABAxXDTxYawpIelmh7i67OduXIfcuvz0GHuOiK5+6Ltwbn0OaL3tZU+S3pvWv6+vstqk/uZ+9a2r5jPmh4gy/0etD0g2vX8P5VzvWm7nuV+pj5ytrdtn+1Nde1o256hPlv0+i7lXttytvew9L4h7gt152OfZXVtL/ec6fqZm44r7bZ8D0g16bq8U9Fr6krraJL7mc5lH/bbh9FymkrXpcNr1+E1rM8xOK1pn/S9z+RUd92dYt1dS/u7TXpN9N65azvnYcsMN5XJcBMAAAAAAAAAFcNNcfuH0vpa0sNdqabPkvuQXe5+iZbRVq5oGXXVPZCX+4Bb236I3tNW28Nsuds49PL6lnvOMJ21PUAWnV9NNel67TuVc82su97sRe+pq+37XCfnftS2vXvRe3NL62rbtrbtGeKz5SzjsNzrWs55s6/t86dtyN3+SJ9t69reUN+b08/MedZ0D+jzm6VJl+9OdC7mfl+a5Hx/m74XXdmH/fZhtKw5a7r/5OyPvkX7sc+5NWZdjvXStvkwKJXhpjIZbgIAAAAAAACgYripuT4PwZ37kHBaZ1pGeuBq37nLTNXJfbArbUtXfbc7bVNXueuoW3bufmjaxj6fu+tnzt3OJrnLikqfNdr29M/3D1iyXGt7gGx/TnUtnYd1otefFr0/9/tdJ/f71/UacSpnn3W55+Ueg8Oajkf6fKf7tm17zv1sfT9Ln2MRLaepts9+KOdzRMcgfZ60jH3R+5o6fO9pe+n/jt4b1WX/ps/RdD7RzdYHXJvOpej1p9V9X6LX1nXuNuwb6nyPlt2UfZi/z8as7TPkXGuj0vvrjln65+k10Z+fs979OlNpPft17dfXt6bzJkl/Hr0vt8Pt3m/7ucchLQNKZLipTIabAAAAAAAAAKgYbupW28NRh/o+zJTe1+ach7CaPkP0+qa6it7bta5y9nfTPs7dt037M/ccyH2ALWdbm5Z9zvmUPmPTPtjr8hrms/XhprrvfNdzv+78jV5bV913MPf711fOPqvbX4ei97XVZbl7ab/st7ntfed8ttz9v6/unGiSzoFoWXXl7K+9aDl1tcnd3i6i99XFdNZ2D8g9N8+9/taJXltX3TaM8T3rwj7MFy1rrtruQTn3xdPq9vOp023IPQ6Hta0zreucz9Sk6zlcV9uxSMbadtgqw01lMtwEAAAAAAAAQMVwU/e6PMDU9yGpLss+1OdBqaaHpXO3u8v2nvOgW2qM/d30AN1Q+yB3OU3HpUm0rLrq5G7rvr7bzPJs/cH2VKTrcurkXIPrvi85n6Xp2tVmiG3dy1nWvrZl1kmfecjtOVxW32tf3XW/Te5+63O8cz5T2+fIOTdTXUTvq6vvfibf2u4Bfb67ka7neJ2c70jd97nv9etc9mG+aHlz1OXamHu/2XfOdbfPOnOPR5/zNtX0ufouM217zv7qu5668x62zHBTmQw3AQAAAAAAAFAx3NS9Lg9h9Xm4K+fhqENDryt6fV1dHrbqs32HDb2OtuOX++BZ3b7MeVgz1ffBtZztrdvW3M+8r255rM8aHyCLzsmmovM1et1pTd/N3O95JHpdXed854a8TkbvaapteW3aPnffzxb9eVvnHINoeXWds8+i5UW13XeGOL9PRe+r69zzhu5KvQd0uXY0nYdpmdF76opEr6ur72/FOtE6mip9H0bLm7qu96Aux+W0puPURbTMpvquL/ecSTUd9z7LS/XRZ13nHhdYI8NNZTLcBAAAAAAAAEDFcFNebQ8ZRe9p6pyHloZ+wGvoh5mj9+TWJnpPXW0PNebuz/T6SDqm0evrOke0vKi6bR36HGJ91vgAWe53LDpno9edVve92YveU9fpNuR+986Rs7+a7km594jU2Pp8ttzzJ9V2LjTJ3W/nXGNz1tUkd5u7iN7X1jn7nW7WeA8Y4jsVve60tu9i9J66Ts/lKe8BEfswT7S8Kcu5Fva5x50j91xK5XyeU33WVyf3HEqds+1THxtYI8NNZTLcBAAAAAAAAEBla8NNTQ8cpT9LD0T1ebDosDp9HpA6V+4DXvuHu+tE76mraV/3efAsash1tMk9fnXbFr22rrbj0SZaZlTaV5E+52zTMWF9Sniw/fR71vW8b5NzLzndhpzPUPf97eqc7TyUs5zUudvdRe5ny/0MqXOvebnn6zn7Leea3vS5cre5iz77ft8U51Kp1ngPyDnP9x3qen63id5T1+k5nPMdS9+dodmHeaJlTlXuPSj3Wnvuvsld3+lx7CNablN1+zD3ezDHtg+xTlgTw01lMtwEAAAAAAAAQKWk4aZTOQ/FHVb3EFju8oZ6WCladlNNcj5D0/ZHr+9bnZyH6brs69wH3KJzLXcZU1V3zvbZXrZlrQ+QRedmU4e6Xufa5FwvU4eiP68r574WyblW1l0rkuj1TU0h57P16dx9n4y9jX1r+mznnNt1cpcZlZYxxDHhdaXcAw7Pmy7fyaZr4d4535Oc60JazxiidTVV8j6Mljl2fbc5Z7+kpt43Q8g9b+o+Yzqno9fXNcT9Z6hth60y3FQmw00AAAAAAAAAVEoebkpyH2raF8l9mGwouQ9JNe2j3P0Ryd2etuq2N3ptXV3kfvZou4b+7EMWyf3MXR5UZV3W+gDZOQ/vRn9+WteHSaP31rU3xHU2R86+avqOR6+va6prRe55kFPXc6BNtOwl1PT5cu9lXeSe921F92DyrfUekHuOHp7v0Z+f1uX7n3tOH56z0Z/XNRb7sLtomWPVZb81yb0vnnstjZZZ11C/DXLPm7p9mrOcc4/LoWj5dU31ewqWwnBTmQw3AQAAAAAAAFApfbgpyX1AKhU94JTzMNmQDyrlbn/bPkqfLXpfVLSsrvuh6+uifZ2zjV339RD7MWe7pi6S+5mjY8G6lfJg+/460PWcj77fka7XsdT++5Oz7UN853K2se56udRrRc5ny6luP/QRLX8JNR2jnHM01VXucrvU9btKrLR7QBL9+WldRe+ta/+dy9n2Ia9Fp+zD7qLlnlvarlT6LENex9Iyo/XVdY45fxtEy6+r7hzI2f4htz3nGNVtO2yV4aYyGW4CAAAAAAAAoGK46TW5D4JFDxpFr6tryAeVhn6wLHd5p6LXRKXtSEV/dtqpnOPVVe7njs613PNoyqLtHfrcYX3W/ABZdI42lfS95tTpurzU/rqf857oe5sr57pUd2/K2ebUVMa65g6x3/ei5S+hpuv5mMc7ev+5NX0Wmq31HpD7+yWVdD23u+rzXcm5bo15btuH3UXLbWrIe0iu3PviOfocu6EMse6c78CQx3TKYwRrY7ipTIabAAAAAAAA+P/bu5+X+7r3oO/fP6Yjh0IzCMRRoD8QJ504EKSzBpQaUDrrRJFGA2khqEVq06HSYimC2EAm4kgptJPOnAeEOEgITVofu/L57vXZn3NfZ6+99q+z9r5eL3gLeZ57n7PPPufe69xf1uUDUBlu+qZ3g1TZlPQq+rl3HbHRbi56jnetee6eTVfza95zHYu1m8pe39foZ6Ki9+mdtecyFX3WejerXVl0vke8Zu7tzhvIen/f1t6feu7Pvb9DRfTP33WEnuv07p7Zc28vXeXMe+4R97vez8eVvXuvizPf77OuydLr4b1MA67ls7fmntHzWer9PPf+/Nmi51wq6zWMHnepco6fsub9mep5nyKf/G5wxHP3fJaOfE9H/U4FIzDclJPhJgAAAAAAAAAqw03fRY+31KvoZ95VNjUdKXqOd6157p7NXvPHi/591JZjJj0bwno+Dz2vuRQ9ds+GwquLzveI18y93XkDWc+9oLT297P3cx49xrt67hFr7tVrHLHRufdaX+Xse+5evffYK3v3Xhdnv9/lupzx3h31O5OJNeBrvZ+j6DHe1fO5X/odPYpruE702Et98vvylden9/NzpCOeu2eNPtInrxuMznBTToabAAAAAAAAAKgMN30XPd5Sr6KfeVfvpr+W6Dnetfa5o2PfVfRs1Jpbe9z03q7dtNe7Ya9ng1sp+qz1bCi8uuh8j3jN3NvdN5BFn9O99Trr9/6o37ee83t33xx1I+7Z99x312Ot3nvslS29tqve7zOuj3Wqz53XgLN+v3r1/r6srTzu2VzDdaLHXuqT96Ej1vy1rlorIkc8d8/n/0ifvG4wOsNNORluAgAAAAAAAKAy3PRd9HhLvT5X9DPvOmqz3SR6jnetfe6ejVflWqzdTPe6kW7txrLpvKN/F9V7jXs2uJWiz1rPhsJS+fnyOFcUKf88Oq93vXsc7uvuG8h6f+fW1KvnXtnTUXqu0ev9edL7Gq9yxvv/2rtrskbvPbY03bPPbsnV73c5n+hxt7Tn/crIgOuPbfn8HPn5nXeV6Ln39MRrGD32Uq177Jl61sW998veteLI69LzOkuRns/dkec+6ncqGIHhppwMNwEAAAAAAABQGW76Lnq8pV6f64hNVlucubEsOj6q57WX830V/VzU2ufZslmvZ4NbKbqOve9FdC2udMRr5t7uvoGs93eu1dbfyeix9nTkvaHn/vzu3jnqvaL3tUX/fE17Xk/0eEuNoPf36ijlOh/xO22tWs8a8GOjrAFbvsdu5Rq2RY+/1CfvQb3r4h7ldUaP+64jr8sRr7Pn/Ld+riPR47/ryM8x3IHhppwMNwEAAAAAAABQGW76pndzVun1uXo3Bx61watnc1epx9EbHkuRLdd/qS0b0HrPIXr/eq/XkRvltjjiNXNvT9hAFn1Wt7b1M957H2515O/a1RuAS1fd23pfW+/rmLf1PYkea6kR9K5lZ+g9h3lH/v483d3XgD2/01Fb7fm8Rl35/dA1bIsef6lP3oOOWPPX6v3sfOo9OeK7zd5rNfnkNYM7MNyUk+EmAAAAAAAAACrDTd/0bjQqvT5X76a8ozYrRY+9VI8t12WppY1h0c9vbYve1xp91nof46iNclsd8Zq5N8NNP7ZV7/2/1ZHKfSZ6jqgj79FX2PLaeo55bcs9MHqcpUa4z/Z+ns+05XfrqO9XGVgDfmyrkdeANaJz2NpWI1/D6PGX+uR9/Kg1f63ocZc6Qu9n5d2a0Pt30BGOOnd4KsNNORluAgAAAAAAAKAy3PTNlg11r3o3SJX26j3vLZvYtlybdy29P0c9z9ZNYL3vX/RaPvEZ2OOI18y9PWED2Z5hlXlb7x2T6DG3tPc8Xh210bn3Ol9xv9j62npfy9TS9Xmnd207+v3fovecz9Z7Plvep6yesAb0fj7etedzs+X737s+8fl1DZdFz7HUJ78vl9cenVPUEdep5/lKR6xx0eMu9e796P3MHXG9osdd6pOfJfgEw005GW4CAAAAAAAAoDLctH0zXST6uaX2bJLact5bNpRtvT6vtV7rUc+zVe/zl5+PRD+71LvHWaMcu/f46Jzetee5GJON7d/b+/nu3eD7rqN/z3rOa+k+3Xud96xva219bb33vnm9r6v3ufZs/C7PNbVH73t9heh533XFZ+8pnrAG7Pl9nrfnd6+IHnNLe89jC9dwWfQcS+29B++xdV3cqne9KO25Pj2vb+qdLZ/7Uc4dnspwU06GmwAAAAAAAACoDDdt22j0btPclRu8rtwgteW5Xluz0TA6rqdynlv1bnB79771fgbWXJdIdL7l9ZfHK635XB31mrmvp2wgiz6vve3V+7v/rqP13L+X7qG994vSnnvyGnte25bXM9V7L4weY6mt99rX61H+7/masPZxez/LPXrOY27Pe8171oDv7TXqGrBWdC697TXqNYyeY6mt9/AjXH2vLK81euyltj7v0c+15fFKW2x5rvL7ANkYbsrJcBMAAAAAAAAAVebhpq0bmkrvnmfrY/acd9GzcW1qzwa2Pddqao29mxr36H2NR34Get//oucz8G5z3FGvmft6ygayLffEeXvuj3PRY/d0xkbWnmvTug5b7tFb7xvluNb57H1te9acntfVc56lLZ+DI+/nvdelx3Qtej8Xe99rYk9ZA/b8LpeO+Mz0/g5GffKz6xq+Fz3PUr33tyOV1x+dU9RR1yp67Fa9z731s7G0nm59zKvO/ZOfI/gUw005GW4CAAAAAAAAoMo23FT+/d7Ne6Ul0c+vqWyUap3/nnNf2ty1RvSYa1u7CWzr5q/S3g16vc+99F5FP79U77mXn48e513v3vsjXzP3ZGP7t/beHye9v5uvnfE71nNOrXtR7z1jaus9rnXcEa+t5zFeW/t+bbluPZ+FLY+/pPf3aa3Xa93zGufHtTrq9zmDp6wBW34H5h31mYkeu6dPfnZdw/ei51mq5952tCPWxV57PjtrrtXWdbr1+s7+zJfH33ruJcjIcFNOhpsAAAAAAAAAqJ423FQ2EEVFP7u1NRuZouPWVh6/VB6nNP3fe15HOXavPa+rdc3mouPXVM5vj97Xt/R8W67V2vdoy+fgnSNfM/f0pA1k0Wd2bUd9tveuN2foOac196E9r3Fa294p/37+863zOeq1RT+/pjXXaxId32rN57L3Pl5qrcmv70OrNd49Zutcit7PnLVqPWvAt47S+7vz2qdF57S2o4x4DaPnWeqT96Cj1sVe0eP3VN73ct2myv/de+9/rbW+lOeJjuupnGN5nvn5T/939PNra507PJXhppwMNwEAAAAAAABQPW246YrW2LsZ6+jKRqsjRI/dqnfj3JbNYEdszuvd4Na6ptExa5o2x73aukluaXPc0a+Z+3nSBrI9992jbP09LS39ru7Rc13W3Et77xvvKs81Ff37Uut8lo59bemx9rym1jlOtj5Hefzo3ls+Lz2vf15L7+e4Zc1rL8/5+jq3vkbWswas/x1e44p7yZlcw1j0XEtF9+yr9LyHo7xvZ7TmtY12zvMgK8NNORluAgAAAAAAAKAy3NTX2s1qI22WOnLjWu+G51I5pseWa9f7HJHe5219Fkb4DLTe+6NfM/fzpA1kW+5PpSPuH3PRc6zprN+vMzY6b73WvbXO58jXtuc1rf0M9ZzvWa05195r0RIdc1Zr3wu+sQYc+z25iJ5jTSN8dl3DWPRcS33y+/KR62KvEda4qTXvQe/fQVfl7y0yM9yUk+EmAAAAAAAAACrDTevr3QA2woapozetbXlNW0SPs9QRel/bmo1nWzeJHlXrHM94zdzL0zaQRZ/bVkd/rrdu7j1Lz/n0rBlbX2dPrfM5+rXteU1rPke999yjW3MNit61a8mea7ol+jxpDdj6+3X0QMzW734jcA1j0XMtdfT3ih5Hr4u9rr7nR629/p9ek6POeE/gTgw35WS4CQAAAAAAAIDKcNO6tm40+vQGrzP0bDjcet16nuOoDZW9G9zWbpz71GdgzXU56zVzH0/bQLbl9+1oWzZlH3Ufi/Rck9579tn3t9b5nPHaomPXtuYe2XvfPaqe97b3M/zO1a/1zN+jpzLgevwasOVz3/P7ebbo/FodbbRrGD3fUmvWgrOcsS72+NQaN9Xzmj59rq+NdB+ATzHclJPhJgAAAAAAAAAqw03t9m406tlkdmRnbazr2Qi2daNxz3McpXeDW8/1vfozsPYze+Zr5h6etoGsdyjjrI2k0XMtdebvVs/9Z8v1OPP+1jqfM15b731x3hXPsbWez9hRw03FVa917bXnR9aAcz430XMtNdJgnmv4VfR8S525preU9yM6p6iz3rtPrHGl3tfzqfN81yc/NzAKw005GW4CAAAAAAAAoDLctNxRm4yu3Dx11ka1ubUb5/aIHu+1I19r73vU+9lYe8321rO58+zXzPieuIEs+uy+66zN0L2/72fqOZet99Sz7m+t8znrte1Zs9c+z57n6KnndU96hxtaymvtea962/Ia+eZpa0Dv79VZa0D0XEuNxDX8Knq+pco1/JSee+2Z986z7/uvbbnmvZ/13p/v6ZOfGRiJ4aacDDcBAAAAAAAAUBluiisb9Y7eZFQe7+xNXmdtMHy1ZnPX3g1zazZXH6l3w9qWz8ea17S1cr17z+mK18zYnriBrOc+e9Znuud3/ez7ds/12HPfPuP+1jqfM19bz2O/tvY9LZ+/Pc/Tqvc1T3rfy7XOeK1bXyPfZB9wPUvP79CIn+HoPN91lpGuYfScS33y+3LPffaKz94Z3w3mldew9XqX46LHfFf5+d5jWo34+w+fZLgpJ8NNAAAAAAAAAFSGm35s7YbkPY7eFFX6xMao6Dzm7dW6Tke/5i0b3LYox5Vzjx5za1s/t1e9Zsb1xA1kPRtpzxQ9X9TZv1c995u999Wj72+t8zn7te15LT3va++9uFU57z2fq97N6D2Oeq17XyPfZF4DttwT1ur5nF/xt0cv1/BH0XMu9cl7U8+6deb7N1euR++60qqc+973veczVpq/rz3X+V2f/JzAqAw35WS4CQAAAAAAAIAq63DTtCGq9KmNRXs3eh2xqWuPpQ1hR22Wix576uj3ben1RO19/hHe/6tfM+N54gaytZ/rs++faze+nm3teZSOuncfcX9b4+zX1nuPfK33nrn3+cpr7H3OSO97t8XW11pe49m/u5lkXgO23BN6RM8ZNSLX8EfRcy51xH14q/KeROcUdfb796pclz3fDUpHrgG969Dr+1r+757rPWUNg/cMN+VkuAkAAAAAAACAyuaBMUybvUrRJqnyz6bNXCNtiHo9z6mjzrE8TvT45Vo8yfT+L22Qm38G4ChPXQOi36HXXjepHu3d/Wteht/npfVtuq+5t/2oXLPWujC/bne+dvPPR+t1crzMa8DZn6l3n+l55bM9quh8X3MN2ap3nSs/e7TymNHzvmvpHKbX8fpapvM/6zXA0/jfJ3My3AQAAAAAAABAZfMAQF7WAIC8rAFAVkcONwHH8L0kJ8NNAAAAAAAAAFQ2DwDkZQ0AyMsaAGRluAnG43tJToabAAAAAAAAAKhsHgDIyxoAkJc1AMjKcBOMx/eSnAw3AQAAAAAAAFDZPACQlzUAIC9rAJCV4SYYj+8lORluAgAAAAAAAKCyeQAgL2sAQF7WACArw00wHt9LcjLcBAAAAAAAAEBl8wBAXtYAgLysAUBWhptgPL6X5GS4CQAAAAAAAIDK5gGAvKwBAHlZA4CsDDfBeHwvyclwEwAAAAAAAACVzQMAeVkDAPKyBgBZGW6C8fhekpPhJgAAAAAAAAAqmwcA8rIGAORlDQCyMtwE4/G9JCfDTQAAAAAAAABUNg8A5GUNAMjLGgBkZbgJxuN7SU6GmwAAAAAAAACobB4AyMsaAJCXNQDIynATjMf3kpwMNwEAAAAAAABQ2TwAkJc1ACAvawCQleEmGI/vJTkZbgIAAAAAAACgsnkAIC9rAEBe1gAgK8NNMB7fS3Iy3AQAAAAAAABAZfMAQF7WAIC8rAFAVoabYDy+l+RkuAkAAAAAAACAyuYBgLysAQB5WQOArAw3wXh8L8nJcBMAAAAAAAAAlc0DAHlZAwDysgYAWRlugvH4XpKT4SYAAAAAAAAAKpsHAPKyBgDkZQ0AsjLcBOPxvSQnw00AAAAAAAAAVDYPAORlDQDIyxoAZGW4Ccbje0lOhpsAAAAAAAAAqGweAMjLGgCQlzUAyMpwE4zH95KcDDcBAAAAAAAAUNk8AJCXNQAgL2sAkJXhJhiP7yU5GW4CAAAAAAAAoLJ5ACAvawBAXtYAICvDTTAe30tyMtwEAAAAAAAAQGXzAEBe1gCAvKwBAMAofC/JyXATAAAAAAAAAJXNAwB5WQMA8rIGAACj8L0kJ8NNAAAAAAAAAFQ2DwDkZQ0AyMsaAACMwveSnAw3AQAAAAAAAFDZPACQlzUAIC9rAAAwCt9LcjLcBAAAAAAAAEBl8wBAXtYAgLysAQDAKHwvyclwEwAAAAAAAACVzQMAeVkDAPKyBgAAo/C9JCfDTQAAAAAAAABUNg8A5GUNAMjLGgAAjML3kpwMNwEAAAAAAABQ2TwAkJc1ACAvawAAMArfS3Iy3AQAAAAAAABAZfMAQF7WAIC8rAEAwCh8L8nJcBMAAAAAAAAAlc0DAHlZAwDysgYAAKPwvSQnw00AAAAAAAAAVDYPAORlDQDIyxoAAIzC95KcDDcBAAAAAAAAUNk8AJCXNQAgL2sAADAK30tyMtwEAAAAAAAAQGXzAEBe1gCAvKwBAMAofC/JyXATAAAAAAAAAJXNAwB5WQMA8rIGAACj8L0kJ8NNAAAAAAAAAFQ2DwDkZQ0AyMsaAACMwveSnAw3AQAAAAAAAFDZPACQlzUAIC9rAAAwCt9LcjLcBAAAAAAAAEBl8wBAXtYAgLysAQDAKHwvyclwEwAAAAAAAACVzQMAeVkDAPKyBgAAo/C9JCfDTQAAAAAAAABUNg8A5GUNAMjLGgAAjML3kpwMNwEAAAAAAABQ2TwAkJc1ACAvawAAMArfS3Iy3AQAAAAAAABAZfMAQF7WAIC8rAEAwCh8L8nJcBMAAAAAAAAAlc0DAHlZAwDysgYAAKPwvSQnw00AAAAAAAAAVDYPAORlDQDIyxoAAIzC95KcDDcBAAAAAAAAUNk8AJCXNQAgL2sAADAK30tyMtwEAAAAAAAAQPUXf+OffNk88Od/7X/96S/8+v8mSXp4f+pX/r41QJKSZg2QJEmjFH0vMdz0fIabAAAAAAAAAKh+4Vd/68vmAUmSJEmSJEn6VL/7e3/w8//1kqcy3AQAAAAAAABAZbhJkiRJkiRJ0kgZbno+w00AAAAAAAAAVIabJEmSJEmSJI2U4abnM9wEAAAAAAAAQGW4SZIkSZIkSdJIGW56PsNNAAAAAAAAAFSGmyRJkiRJkiSNlOGm5zPcBAAAAAAAAEBluEmSJEmSJEnSSBluej7DTQAAAAAAAABUhpskSZIkSZIkjZThpucz3AQAAAAAAABAZbhJkiRJkiRJ0kgZbno+w00AAAAAAAAAVH/57/3vXzYP/Je/9g9/+qu//o8kSQ/vP/yVv/vTz/7s/3/vn2UNkKQcWQMkSdIo/cn3kpf/ffL3//CPfv6/XvJUhpsAAAAAAAAAqP7aP/idL5sHfvdf/R8//f7/9X9Kkh7eX/m1f2gNkKSkWQMkSdIoRd9LDDc9n+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW82tktS3qwBkiRplAw35WS4CQAAAAAAAIDKcJMk5c3GdknKmzVAkiSNkuGmnAw3AQAAAAAAAFAZbpKkvNnYLkl5swZIkqRRMtyUk+EmAAAAAAAAACrDTZKUNxvbJSlv1gBJkjRKhptyMtwEAAAAAAAAQGW4SZLyZmO7JOXNGiBJkkbJcFNOhpsAAAAAAAAAqAw3SVLebGyXpLxZAyRJ0igZbsrJcBMAAAAAAAAAleEmScqbje2SlDdrgCRJGiXDTTkZbgIAAAAAAACgMtwkSXmzsV2S8mYNkCRJo2S4KSfDTQAAAAAAAABUhpskKW9P3dj+2//Tb/3013/1r/z0y7/4iz/97Gc/+1L556XyM+Vno8eQpKdnuEmSJI2S4aacDDcBAAAAAAAAUN1huKlsPo82p69p2sA+bWK3kV2Svvekje3l3l7u9dFasKZybPS4kvTUnrAGlHt/dE9fU/R4kiTpMxluyslwEwAAAAAAAADV04eblpoGnqLnlKQMZd/YHlXWBkOwkjL0hDUguo+vLXo8SZL0mQw35WS4CQAAAAAAAIAq83DTPP/FDkkZu/vG9j3/paZW1gVJT+/ua8DevxGix5QkSZ/JcFNOhpsAAAAAAAAAqAw3/Zj/kpOkTN11Y/vR/7WmdxlwkvTk7jzcdMQ6ED2uJEn6TIabcjLcBAAAAAAAAEBluOlrNrNLytIdN7ZfNdg0rzxndC6SdOfuPNx0xH+5L3pcSZL0mQw35WS4CQAAAAAAAIDKcFOcASdJGbrbxvZPDDZNGXCS9LTuOtx01FoQPbYkSfpMhptyMtwEAAAAAAAAQGW46X0GnCQ9vbttbO/9L3WU9SMaSir/rPy7nsezJkh6WnccbjpyyDV6fEmS9JkMN+VkuAkAAAAAAACA6gnDTe/+axrln08b2Hs3sU+V46LHlqQndKeN7a21YN67dSGqZ30w4CTpSd1xuKmn1roRHSNJkj6T4aacDDcBAAAAAAAAUD15uOldPRvZS9FjSNITusvG9nKfj+7Pr+0ZPlq7LvSuOZI0aoab4uMkSdL1GW7KyXATAAAAAAAAAFXG4aapctyazez+Sx2SntpdNra31oHSEffqq55HkkbIcFN8nCRJuj7DTTkZbgIAAAAAAACgyjzcNLVmwCk6TpLu3l02tkf35XlHDhytWRPKuhQdK0l3ynBTfJwkSbo+w005GW4CAAAAAAAAoDLc9K3WZnYb2SU9sTtsbG+tAaXouD211oQjh6kk6VMZboqPkyRJ12e4KSfDTQAAAAAAAABUhpu+Fz32lI3skp7YHTa2R/fkeUetAfPKY0bPNS86TpLulOGm+DhJknR9hptyMtwEAAAAAAAAQGW46Xs2QErK1ugb2z85ZNT6rzedMVQlSVdmuCk+TpIkXZ/hppwMNwEAAAAAAABQGW76sejxp8p5RMdI0l27+3DTmffl1tpjTZB09ww3xcdJkqTrM9yUk+EmAAAAAAAAACrDTT+29F/qsJFd0tMafWP7lff/qOg5p6wJku6e4ab4OEmSdH2Gm3Iy3AQAAAAAAABAZbjpx5aGm8q/i46RpLs2+sb2pXtyKTrmyKwJkp6c4ab4OEmSdH2Gm3Iy3AQAAAAAAABAZbjpx5aey0Z2SU9r9I3t5Z68VHTMkRlukvTkDDfFx0mSpOsz3JST4SYAAAAAAAAAKsNNP7b0XDayS3paT9/YvjfDTZKenOGm+DhJknR9hptyMtwEAAAAAAAAQGW46ccMN0nKlOGm5aK1YKqsF9ExknSXDDfFx0mSpOsz3JST4SYAAAAAAAAAKsNNP7b0XDayS3pahpuWi9aCKWuCpLtnuCk+TpIkXZ/hppwMNwEAAAAAAABQGW76sejxp2xkl/S0DDe9r6wt0VowdeTaI0mfyHBTfJwkSbo+w005GW4CAAAAAAAAoDLc9D0b2SVly3DT+6J1YJ41QdLdM9wUHydJkq7PcFNOhpsAAAAAAAAAqAw3fe/qDZDlvEvleX/5F38xfM7yz0vlZ6LHuLql8/3kuY5+Le/4XitHhpviyu9r9Hs6LzpOku6U4ab4OEmSdH2Gm3Iy3AQAAAAAAABAZbjpe9FjTx05cNJ6PUsdMfzS2rQfXc8t51zO9aj35l2fvpatRj8/yXBTXPn9i34vp/xuSnpChpvi4yRJ0vUZbsrJcBMAAAAAAAAAleGmb7U2sh/xHK2hop72DA61zmP+uEeccznX+fMf0SjX8l2jn580Zbjpa2t+f/1OSnpChpvi4yRJ0vUZbsrJcBMAAAAAAAAAleGm9mBTKTqupzXPsaUtg0OtjfvT9VyzwX9tW87zXSNdy6jRz0+aZ7jpx9bc9/xXmyQ9JcNN8XGSJOn6DDflZLgJAAAAAAAAgCrzcFM5bs0gytbHLx05IPSu3qGX1jmVf3/Gee8dzhnxWs4b/fykKMNNP3b2miBJI2W4KT5OkiRdn+GmnAw3AQAAAAAAAFBlHG4qP79mA3tp9GGXqZ7zbJ3Xmefd+15NjXotp0Y/P+ldhpu+t2Zd8F9tkvSkDDfFx0mSpOsz3JST4SYAAAAAAAAAqicPN5V/PlUeY83G9deix11b7/OVc5xXju95jPKz0Xm8tncQZzqv3vMrrT3H13qf56prOTX6+UnvMtz0rbX3xehYSbprhpvi4yRJ0vUZbsrJcBMAAAAAAAAA1ROGm86qbHaPzmdNa8+5DKmseZ61j7fmsbYMN5Xnjx5r3trhnDWPNW/ka1ka/fykpQw3rb8n+p2T9LQMN8XHSZKk6zPclJPhJgAAAAAAAAAqw01xezaxn7VRvvx8a4Co/Pvo2Hlrz6+05vHmrXnsnsd8yrX81PlJrbIPN531OyxJd8hwU3ycJEm6PsNNORluAgAAAAAAAKAy3PRjZWBk7yb21lBKac9ztB6/XK/ouKm1m/m3Ds+sefzouKjRr+Xo5ye1yj7ctOZ3uPxMdKwk3T3DTfFxkiTp+gw35WS4CQAAAAAAAIDKcNP39gyhTK0Z7DnieaLHnWptxF9zjqUzh3KiY14b/VqOfn7SmjIPN7XuUyW/Y5KenOGm+DhJknR9hptyMtwEAAAAAAAAQGW46dj/+k3rXI96rj2bNdcM5ew9zyOuwxGPsabW80THlEY/P2lNWYebWr9XU9GxkvSUDDfFx0mSpOsz3JST4SYAAAAAAAAAqozDTeXxSkf8V3Vei55vXnTM1pb+qyOj/xeHyvWPjpkXHTcvOmZrW65l9LPzomO2tvW9llplHG5acw8snbFGSNJIGW6Kj5MkSddnuCknw00AAAAAAAAAVE8YbpqGlUpLQyBTZ21Yb22YL+cXHbe1peuyNPCyZmN/dFxv0eNOta7F6NfyLu+11CrbcNOa+1+p/Fx0vCQ9KcNN8XGSJOn6DDflZLgJAAAAAAAAgOoJw02vm9DXDDjNf/6oPrGBMnqeqejnS1cN5iy9D62BnNGv5V3ea6lVtuGm6PfntaPugZI0eoab4uMkSdL1GW7KyXATAAAAAAAAANUTh5tK0c/NO+O/dtMaqoqO2Vv0PFPv/ssjdxhuGv1a3uW9llplGm5q/d6WWvcmSXpShpvi4yRJ0vUZbsrJcBMAAAAAAAAA1VOHm1oDPKWjhnimoueYVzbNH130PFPvXt8dhpuiY+bNr8FRRc8z9XpNop+ZFz3+3qLnmTr6s6w8ZRluav0OlcrPRMdK0lMz3BQfJ0mSrs9wU06GmwAAAAAAAAConjrcVFqzmf3I/+JN9Pif7N3AS2u46ahrsnT9W0ME0TGfrHe46eoMN2lrGYabWve8qSPXA0m6Q4ab4uMkSdL1GW7KyXATAAAAAAAAANWTh5tK0c/PO+q/1LF28/yVvXttrXM9aoP/1uGm0a/lnd5rqdXTN7av/X096r4nSXfKcFN8nCRJuj7DTTkZbgIAAAAAAACgevpw05qN7UcMhtxp4KV1rkdt8i/PHz1+aemaj34t7/ReS62evrE9+n15zX/5TFLWDDfFx0mSpOsz3JST4SYAAAAAAAAAqqcPN5WWhmym9g703GngpXWue6/F1NJ1XxrGGf1a3um9llo9eWP70j1oyu+OpMwZboqPkyRJ12e4KSfDTQAAAAAAAABUGYabSms2uUfHre1OAy+tc11zPde0dM2XBgpGv5Z3eq+lVk/d2L50/5nyeyMpe4ab4uMkSdL1GW7KyXATAAAAAAAAAFWW4aY1Ayl7Nrq3Hn/NOV7VVee6NFywdK1Hv5ajn5/U0xM3trd+R6f8rkrKnuGm+DhJknR9hptyMtwEAAAAAAAAQJVluKnUepxS+Zno2DVFjze153GP7qrhnK3DTaXomKkRrmV0XlMjvddSq6dtbDfYJEnrM9wUHydJkq7PcFNOhpsAAAAAAAAAqDINN5WWBm6mtm56jx5rynDTjxluksboSRvbW/e2qaPucZJ09ww3xcdJkqTrM9yUk+EmAAAAAAAAAKpsw02l6DFei45rtWeY58ruMNw0+rUc/fyktT1pY/vS7+WU309J+p7hpvg4SZJ0fYabcjLcBAAAAAAAAECVcbipNdxT2rIBvrWxPjrmE919uKkUHXNld3mvpVZP2dje+p0ste47kpQtw03xcZIk6foMN+VkuAkAAAAAAACAKuNwU2nNRvjyvNGx72qdZ+/jra28lp7HvsNw0+jXcvTzk9b2hI3trd/HqehYScqc4ab4OEmSdH2Gm3Iy3AQAAAAAAABAlXW4qRQ91mu9jx09xrzomD3Nr00ZfFlzvncYbipFx82LjtlT77Wcn0tUdMyetrzXUqu7b2xv3c+m/L5I0tcMN8XHSZKk6zPclJPhJgAAAAAAAACqzMNNazbFrxnCmbc00FPqfbyl3p1/6zlar/uoIYCla7HmOox+LUc/P2lNd97Y3rqXTR11T5Okp2W4KT5OkiRdn+GmnAw3AQAAAAAAAFBlHm4qtQZUSj0DJGs22x+x0X7N85TrtuXYI86vtHRt11zT0a/l6OcnrenOG9uj34XX/G5I0vsMN8XHSZKk6zPclJPhJgAAAAAAAACq7MNNpTUDTj3PcfTjvbZm2KX07jlax+85t3l7h5tKo1/L0c9PanXXje1rfvfW3mckKWuGm+LjJEnS9RluyslwEwAAAAAAAACV4ab1AyTRsVFrH2/LxvvWtZhauiat89t7PaeWhg/Wvva7X8upT52f1OqOG9uX7i3zomMlSd8z3BQfJ0mSrs9wU06GmwAAAAAAAACoDDd9a80gSc+AytrBlFL52egxpsrr63m81nm2BnKOGpZZGkB4yrUsjX5+0lJ329jeun9dmd8/SXfPcFN8nCRJuj7DTTkZbgIAAAAAAACgMtz0vaVhnKnWcMq8NY/3WjlmXvQzS5VjonOZ1xoOuOJ6rjnPeVuvxbzoZ5Yqx0TnErX18edFP7NUOSY6F6mnO21sH2mwqeR3UNLdM9wUHydJkq7PcFNOhpsAAAAAAAAAqAw3/Vj0+K/1PN+WoZWtrd1of8fhptKI13Le6OcnRd1lY/tog00lv4eS7p7hpvg4SZJ0fYabcjLcBAAAAAAAAEBluOnH1myg793QfsXQS8853XW4qTTatXxt9POTXrvLxvYrfrd687so6e4ZboqPkyRJ12e4KSfDTQAAAAAAAABUhpu+tmYTfe+m9jM35ve+/jsPN5VGupZRo5+fNO8OG9vP/J3a0577mCSNkOGm+DhJknR9hptyMtwEAAAAAAAAQGW4KS56ntd6n7f8/JGb9Mt12fLayzHR400ddT2XXuveoYBRruW7Rj8/aWr0je3lcx/9TozQ3vuYJH06w03xcZIk6foMN+VkuAkAAAAAAACAynBT3NoN9VueuxyzZ/Bl76BL67Xteex5S6/xqKGAT1/LVqOfnzTyxvby2Y9+L0bpqPuYJH0qw03xcZIk6foMN+VkuAkAAAAAAACA6g7DTU+ubLosLQ3ATD9jyGW50a/l6OennD19Y7sk6X3WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAZbhJkvJmY7sk5c0aIEmSRslwU06GmwAAAAAAAACoDDdJUt5sbJekvFkDJEnSKBluyslwEwAAAAAAAACV4SZJypuN7ZKUN2uAJEkaJcNNORluAgAAAAAAAKAy3CRJebOxXZLyZg2QJEmjZLgpJ8NNAAAAAAAAAFSGmyQpbza2S1LerAGSJGmUDDflZLgJAAAAAAAAgMpwkyTlzcZ2ScqbNUCSJI2S4aacDDcBAAAAAAAAUBlukqS82dguSXmzBkiSpFEy3JST4SYAAAAAAAAAKsNNkpQ3G9slKW/WAEmSNEqGm3Iy3AQAAAAAAABAFQ03/df/3f/y09/4zX8sSXp4v/SX/vuva8B/aw2QpAxZAyRJ0ij90l/++r3EcNPzGW4CAAAAAAAAoPqFX/2tL5sHJEmSJEmSJOlT/e7v/cHP/9dLnspwEwAAAAAAAACV4SZJkiRJkiRJI2W46fkMNwEAAAAAAABQGW6SJEmSJEmSNFKGm57PcBMAAAAAAAAAleEmSZIkSZIkSSNluOn5DDcBAAAAAAAAUP21f/A7XzYP/J1/8W9++h/+5b+VJD28/+Rv/lNrgCQlzRogSZJG6T8Ovpf8/h/+0c//10ueynATAAAAAAAAAFU03PQ//99/9NM/+dc/SZIe3n/2G9YAScqaNUCSJI1S9L3EcNPzGW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknK2xM3tv+tf/TP/6T//L/6tZ/+9J/5j3762c9+9qXyz0vlZ6LHkKQMPXW4ac0aUP69NWBd07WM/t0dKu95+UxE/2707n7tJaknw005GW4CAAAAAAAAoBp9uKlsRHvdkLhU2fw1ZdOiJC33pI3t5X4frQtrs15IytaT1oBpoCm6v7cyPPK++d9i5TrdbUionPN0/ndb58+69tNj3iW/n1KeDDflZLgJAAAAAAAAgOppw01LlY1RNq9L0veesLH9yHWiZBOtpCw9Zbhp73DrlL8Tvnbn6xR9Lo4cEjq713MvHXHto8cdueg1SHpmhptyMtwEAAAAAAAAQJVpuGmezeuSdP+N7eVeHt3jj+gum58laWt3XwPKffrodcDfCN9burbl3428Trb+hhx9QOvMax895qgZOJRyZbgpJ8NNAAAAAAAAAFRZh5umbJiSlLm7bmw/e22Yssld0pO783DT2evAnuGRJ7Tm+kbHjdLScFBp5L8Bz7720eONmO9gUr4MN+VkuAkAAAAAAACAKvtwU8nGKUlZu+PG9ivWhXnWCElPzYDrcuV5oud/emuu78jXpjXYNPK6fsW1jx5zxLL+/kmZM9yUk+EmAAAAAAAAACrDTd+yeV1Sxu64sb21aTmqHDMV/ftW1ghJTyzLgOt8DehdBzIOWETXYd7I/9Wjcm7ROc+Ljhul6HznHXHto8cdLd+7pJwZbsrJcBMAAAAAAAAAleGm79lEJSlbd9vYvmbT8lT52aVN6eXf92xyz7jBXdKze/KA65o1IDrutWx/H7Su78jXY83fjSOv5Vdd++ixRys6b0nPz3BTToabAAAAAAAAAKjuPtxUNia+O67Uu3l95A17knR0d9rYvmbTcqn3Pn7W40rS6N1tuGnNd/ree/UZj3nX1qyH5WeiY0eo9V6O/D7e/dr3FL22ee/+vpf0/Aw35WS4CQAAAAAAAIDqqcNNUWv/f2h/ysYxSWp1p43ta+7he+7faza423Ar6Uk9bcB16/DKmvv/0/8+WHN9R74GBpvu0Z3fJ0nnZ7gpJ8NNAAAAAAAAAFSZhptK5fFsqpKkb91lY/tVG3+tD5IydafhpuiePG/v/Tn7/T96zfNGHu5dM/wcHTdK0fnOe8pg9VXf5STdN8NNORluAgAAAAAAAKDKNtw0FT3WvOgYSXpad9nY3tq4fNSm8zUbb6PjJOmOPWXA9ag1oDXg9JQhk9fuPNh194GZO1/73jK9VknbMtyUk+EmAAAAAAAAAKqsw01nPa4k3am7bGxvbYg9cuNy67msD5Ke0l3WgOhePO+oNaD198EThy9ar7l05Bp7dHcemLn7te+pNaReio6TlCvDTTkZbgIAAAAAAACgyjrcVFraDPfEzYuS9NpTNrZHx+wpeo4p64Okp3SHNeDMvwWiWsMyTxpwvftwTeu9Gnm9vvu17y16ffMMjksqGW7KyXATAAAAAAAAAFXm4aZybPSYU9ExkvSkbGyPW9owbbhJ0lO6wxoQ3YfnRcfsLXqeqSetAYaDPtedr31vmV6rpH0ZbsrJcBMAAAAAAAAAVebhptZjR8dI0pO6w8b2cp8vG1/fdcbm5fK40bowFR0jSXdr9DXgzL8Dlsrw/wFCa50r/z46boRan4vSGd8NjurO1763u79Xkq7NcFNOhpsAAAAAAAAAqDIPN5Wix5yKfl6SntQdhps+UYaN7ZI0+hrQuhefORQRPd/UWUNVV3X3gRODWfcp0yCXpP0ZbsrJcBMAAAAAAAAAleGm+HFLT9pYJklRhpviDDdJytDoa0B0/506eyhiaSjjzgMZdx+uufOwzN2vfW+t71J3/j2SdE6Gm3Iy3AQAAAAAAABAZbgpftzSkzaXSVKU4aY4w02SMjTyGtD6G+Ds7+lPXQcMB32uO1/7LUWvcZ6/tSW9ZrgpJ8NNAAAAAAAAAFSGm+LHLdlwJenpGW6KW9rU7r80IOkpjbwGtIaLrvieHj3v1N6/QT5Ra7imFB03Qq2/CUsjvyd3vvZbyjbIJemYDDflZLgJAAAAAAAAgCrzcFPrsaNjJOlJGW6Ki9aEqTtuaJekqJHXgNZwRHTM0S2dw92GM9YMB10xMLa1Ow/L3P3a97bm9UbHSZLhppwMNwEAAAAAAABQGW6KH7cUHSNJT8pw09daa8OTNiBLyt3Ia0B0/526asi0PE/0/FPRMSO2Zthk5LXNYNO9ar1fhsQlvctwU06GmwAAAAAAAACoMg83LW1YtOlKUoYMN33tKZvZJanVqGtA6/v/VcMgT1kPDAd9rjtf+y21fmee9nolHZvhppwMNwEAAAAAAABQZR5uih5vauRNcpJ0VIabfqy15tiUK+lJGW5qFz3/1B3+P0NoDZuUouNGKTrfeSO/B3e/9luKXuM8f2NLWspwU06GmwAAAAAAAACosg43tR43OuboyjmU8y+b5d/9/+pd/nn5mVE2gi2d72jnKqmd4abvtdaFkvubpCc16hpQvk9G9+Cp6Jizip5/qpxndMwo3X1de/f30VT599FxI5TxO8Wd3y9JY2S4KSfDTQAAAAAAAABUGYebWo955kaz8titjV9LHTE8tPT80aazrec8+oZPSYabplrrQsmmXElPa9Q1oPe76pmNdC49rVnXys+Uynf26HWWf1b6xHf6petemq79dO7Rz0/nXl7j6+Of2d2v/ZbWvOboOEmaZ7gpJ8NNAAAAAAAAAFTZhptaj1c2kUXHHVG0cW1reza6LZ3H6+s/4pzLNZ8/pqRxyjzcNG0qju5bUe5lkp7WqGtAdA+eunrYo+d780it+Q7f+z2//PwVa2Hr77VS77mXrvrs3Pnab631eq7+vZV0zww35WS4CQAAAAAAAIAqy3BTeZw1m9jP2DS2ZoPe1rac79Lms/Lv1vxcb2dcV0n7yzLcNK0BpS33NvcwSU/McFO71t8P0TGfbs3fPHua/71wRtFzHtmZa/rdr/2WWq95xHOWNGaGm3Iy3AQAAAAAAABA9dThpnLctJk9Oi7qjI1uRw4Ivav3vJfOadp8dsZ5n3F9Je0ry3DTnnuae5ekp2a4qV3rb4nomE9W1qzoPM/orn87laa/eY7s7td+a9H5zfM9StLaDDflZLgJAAAAAAAAgOruw01HdefNeaWe8186r/LvegbCejpjE6GkfRluWs6GXElPbsQ1oPXd/+r78p2Gm1rX7oyOHDa78m+nUnm+oz5Pd7/2W2u9Z/7+k9ST4aacDDcBAAAAAAAAUBluOmdjWO95l41f5Tzm9W7wW7s5r/dx55Vj50U/s9RRGwglHZPhprjy89HjSNKTMtzUbrTzWWrLd/MjOmLNbF3nMzviPbzztd/amvcsOk6S3mW4KSfDTQAAAAAAAABUhpu+VzaHHbVBMXr8qDWDVeWc1myYW7u5rXfz3Zrr0vM+RcdL+kyGm+LW3Pck6e4Zbmo32vm8q3WeZ7fmb5qletfpo4vOaW13v/Zbi85l3qfOS9J9M9yUk+EmAAAAAAAAACrDTV8rm+uic1nbms15W56jbBCLHmvemg2WPZsHezdsrnns3seUdF6Gm5bbcq+WpLtkuKndaOcT1TrHqPJ3RTkuOv/y77asm1uvRe9zlZ+fzv/1sco/W/M302tb1/vyfNHjLTXStd9a6xy3Xk9JuTPclJPhJgAAAAAAAAAqw03v27JJbM357tnstebxo+Pmrd0wt3WTXOvxy6a96DhJ12e4qZ0NupKemuGmdqOdT1TPGvduKOhdPYNCW9bL1vWdVx6/5++I8tg912bLe3nna7+1Ne/ZlmspSYabcjLcBAAAAAAAAEBluGm53o1ZrQ1uR2w8a210a53zmk14e86z9Z71bEqUdG5ZhpteK/epci9acz8sHXHvlqTRMtzUbrTzea11flNlHdtzrmvXy97v+Wc97ry116gUHf+uu1/7rbXOp/z76DhJamW4KSfDTQAAAAAAAABUdx9uKpu4ys+8q/z7UtlktXZj2GvlcaJzi4qOnxcds6XosadaG9vWXIfouJ6ix5wXHSPp+rION80r9/g190WbdSU9rVHXgOgePHXVAMdUWSOi85jq+TvhjK5cv9Y8Vyk6Nqp1baeOuMZrn6vn83Xna7+1cn2i550XHSdJazLclJPhJgAAAAAAAACqJww3RcctVY5Zu0FsKnqc11qbvbac67ta12VpE2DrtR+xCa91LaJjJF2f4abvrVkXjryPS9KnM9zUbuTvtGsGdo74Xj/vyLVyzWMt/U3T25rrVYqOfe3u135r0XPO8z1J0p4MN+VkuAkAAAAAAACAKuNw07zWhsWpNZvTWhvOomP2FD3H1NJGwNZ5HrEprXVdo2MkXZ/hph9bs3E4Ok6S7pjhpnYjf6dtnduav1+2dNRaGR0378jBpqk1Q0lrPmN3v/Zbaj33Wa9ZUp4MN+VkuAkAAAAAAACAKvtw09SajWKtDXbRMVNHnee8pU11S8/Xeq3RMb213rczNitK6s9w09da98gz7ueS9IlGXQOW7sNXD1Asfd8uRcdcVXQ+8876vt36nl9qrZWt63rm+9xa50vRcfOiY+aNfO23tOZ5z3rNkvJkuCknw00AAAAAAAAAVIabvtfa6La0ye7K85xa2hS4dK6t1xkd01vretj8Jo2R4aa46L41tXR/laQ7Zbip3UjnMu8Tf3vMW7oupdbzt46Pjjmq1rUrRcdN3f3ab6n1nJ/8XZD0nAw35WS4CQAAAAAAAIDKcNOPRc8xLzqmVM4j+vl5ZdPX0UXPMxWdZ2nrcT213rfy76PjJF2b4aa4K+6TkvTpRl0DWt+ro2POKnr+qbOHWJZqXaMrvmtHzztV1tHomKnomKnWsUe05/rd/dr31nq9peg4SerNcFNOhpsAAAAAAAAAqAw3/Vhr89a751uz6evqovMsLW3aP2ozXOt9u2LTn6R2hpveF927po5eeyTpExluWm7k77PR+cyLjjm6pb8pStExpa1/bx3Znr8xo5+fFx1zdFuv/Zaix5/n7zpJR2W4KSfDTQAAAAAAAABUhpu+Fj3P1Lvhn9YGs0/0bqPZ0rm+e329td43m+CkMTLc9L7o3jV11L1Skj7ZyGtAdO+dumL4pTTy99nofKauuj7leaLnn4qOKW097uii555auobRz0+Nfu17a/2N6/uQpCMz3JST4SYAAAAAAAAAKsNNX2tt4tpyzCd6t+Fy6VyP2qA28mZQSd8z3PS+K+6VkvTJ7jrcdNU9eJQhnNdG+Z7duj6f/FtkTdHzT707j7tf+55ar7UUHSdJWzPclJPhJgAAAAAAAAAqw01f27KRcWmT3qd6t6ntig2FrfftiA13kvZnuOl9o25ql6SjGnkNuOL7aqvouafO+BtkbaN8z956HiO8t6Ut53H3a9/T0vUpffJ3QNIzM9yUk+EmAAAAAAAAACrDTV9rbWiPNou1Nn99oneb2rZs5Ovtig13kvZnuOl9hpskPb2R14BP34M/8TfI2kb5nr31PK74W2RNW87j7td+ba3fvyvfJ0l5MtyUk+EmAAAAAAAAACrDTV9rbeaKNouNsklvTVec69kb7iQdk+Gm9316Y70knd3oa0B07506e7hoy98DV/WJv4+itn7fX/pbpBQdc0Zb/ia6+7VfW/SY8/Y+viRFGW7KyXATAAAAAAAAAJXhpq9t2czYOub15z+Z4SZJU4ab3nen+7okbWn0NeCK76zvip5zXnTMlUXnNHXVgM3WdXKU9TV67qmlaxj9/NTo135NS793pbN/9yTlzXBTToabAAAAAAAAAKgMN32ttaHLcFM7w03SPbrDxvZ3nb2BuDxHdP+aio6RpDs1+hrQ+n591vfJT/z90dvSGlX+XXTM0W39+2eUvxOi555aeo/vfO1btd6bUnScJB2R4aacDDcBAAAAAAAAUBlu+lr0PPOiY0bZpLemKzbk3el6SJkbfWN7dP+YOnsDcfScU1dtXpakMxt9DShF9+Cps+7FrcGREb7HLn2fL0XHHF30vFNLf6O1/k444++71/YMB9352rdqvbYr3htJeTPclJPhJgAAAAAAAAAqw00/1nq+d5soR9ikt7alTWvvXl9vretR/n10nKRrG31j+6c2EN/pni5JW7vDcNPV68DWvwWurqxD0flNnb1OtZ6/9V0/OmZedMyRRc851XqP737t39V63FE++5Kem+GmnAw3AQAAAAAAAFAZbvqx6DnmLT1f9PPzomP2Vs6n1LOJbWmT6FGb1lrv29ZNd5KO7e7DTUevAVPlcaPnm3IPk/SE7jDc1LofHz1w0Vp3Rrr/R+c3LzrmqKLnmxcdM6/1vp61vpeOeO7ouHnRMUcVPd+86Jg1RY81z3cfSWdnuCknw00AAAAAAAAAVIabvtfa6FZa2tR1xEa53rY8vuEmSVOjb2xv3VeP3tReat2/StFxknS37jDcVLpq4Ohu9//WdTljjSy1nnfN3yRrrvUZfy8c9R7f+dpHfer1SNI8w005GW4CAAAAAAAAoDLc9K01G91K0bFTV2/Se7cJrfUcS5vXjtq41roWR14HSdu7w8b26B4y76h1YKq1wffo55OkT3WX4aZy343ux/Oi43qLHnfeiN9fo/Ocd/RQypr3Yu11OvKx1hY9x7ye6xUdP2/kaz+vHBM91rzoOEk6OsNNORluAgAAAAAAAKAy3NTeyD61ZrNY67GO2uS25pyj40pLxx51fq33bcvGO0nHd4eN7Wvud0fdU658Lkn6dHcZbiq17s97v8Oe/fhntWbdOurc1wzX9Pxt1vp7YeqIdbc8xpprFR37rjtf+3mt13HE39uStCbDTTkZbgIAAAAAAACgyjrcVB53zSaxqbUb09Zs0tu7yW3vRrql4/ee21TrOpR/Hx0n6drusrE9uo+8tnfz7d57qyTdrTsNN531Hbs87pr7/1HfXcvjlPVq6ojHjc73tb3r15prVIqOXWrt32N7rlM5NnrM17Z8j4ge57VRr32pdf33nrsk9WS4KSfDTQAAAAAAAABUWYabyuOU1m6ge61nQ93aDWg9j1kqP7/msVub0JYe46gNbOVco8ef6n3tks7pLhvb195Xy89tubdGjxXl3iXpSd1puKm0di1Ye69ee//fMvQS9e759n7/7lnHel9Lz99OW9fIs9b48rM9jx09Rqu7X/voseZtfVxJ2pLhppwMNwEAAAAAAABQ3X246Yq2bOqKHidqzSa9srFt7ca8Uuvxlh5r68a+11rv25ZrKun47rSxvec+WH52aRNxuQe17lOv9W5KlqTRu9twU2ntWvBuHSj3/p6hkau+G+99nt41ben69F6j0t41cu37OlWer5zn6+NM5977eK+P09Ndr33rGpV/Hx0nSWdluCknw00AAAAAAAAAVIablivPH51Xq63nXTaRzYt+Zqk157v0uOXfRcf01nr9W6+rpGO708b2rffV0p77aumoe6MkjdQdh5tK0X36rI76zho99mvRcT1tXeP2dsQauWeN39sR7/Hdrv2a6x0dJ0lnZrgpJ8NNAAAAAAAAAFSGm963d6Pb1ee+9nyXNt8dsTmx1Hrte6+tpGO628b2q++rpaPui5I0WncdbrpqLTjq++ra8936X+CZ1/tf/dnbkWtkuU5Lf6ec0VHvcelO1751nY/4LEpSb4abcjLcBAAAAAAAAEBluOlrR27muur8ezbmLW1mO2qDYut1H7mRUNL27rixvdw/rtr8bHOvpCd31+Gm0tnfsY/8rrr2XI9ac86+NlNnrZFXrPHlOY58j6fucO3LsdFjTh3196Ak9Wa4KSfDTQAAAAAAAABUhpu+VzZ63W2T25bNZ0sbBo/azNZ6zWdcZ0n93Xlj+9K97IjcpyQ9vTuvAVNHrwVHfRd+LXqu145ed85cJ89eI1t/S+zprPd43sjXvjXc5PuPpE9luCknw00AAAAAAAAAVNmHm8rmrj3/P1/31NpI1lPZMLf1vJc22x212a/1vtk0J43R3Te2l3vJ0RuIr1oTJOnTPWG4qXTUd+wz7/9r1qrouL0dvU5evUYe9d6WynW48m+Qka/9u3Mr/yz6eUm6IsNNORluAgAAAAAAAKDKNNxUNmuVTWGlKze2vbZnk970GqLHXdvSJrujNrS13rdPXn9J33vKxvZ3m3R7cl+SlK2nrAFTW79jX/W3wdI6dfbz710n9/79sbe9fz99co0f+dqXc5s/V/QzknRVhptyMtwEAAAAAAAAQDX6cNOTK5vJyma1pc16ZSPc9DPRY0jSnp62sb003VvL/TPaTDz98/Izn9zsLEmf7olrQGn67ry0DnxqDZjOazqXT5xHz/UZbZ0s5zM//+jc5+cfPcYnm5/7u/Ofzv3K85/OK/p3knRVhptyMtwEAAAAAAAAQGW4SZLy9tSN7ZKkdtYASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAAAqw02SlDcb2yUpb9YASZI0SoabcjLcBAAAAAAAAEBluEmS8mZjuyTlzRogSZJGyXBTToabAAAAAAAAAKgMN0lS3mxsl6S8WQMkSdIoGW7KyXATAAAAAAAAAJXhJknKm43tkpQ3a4AkSRolw005GW4CAAAAAAAAoDLcJEl5s7FdkvJmDZAkSaNkuCknw00AAAAAAAAAVIabJClvNrZLUt6sAZIkaZQMN+VkuAkAAAAAAACAynCTJOXNxnZJyps1QJIkjZLhppwMNwEAAAAAAABQGW6SpLzZ2C5JebMGSJKkUTLclJPhJgAAAAAAAACq/+I3/+mXzQP/6X/zz376c3/7tyVJD+8/+JX/0RogSUmzBkiSpFGKvpcYbno+w00AAAAAAAAAVL/wq7/1ZfOAJEmSJEmSJH2q3/29P/j5/3rJUxluAgAAAAAAAKAy3CRJkiRJkiRppAw3PZ/hJgAAAAAAAAAqw02SJEmSJEmSRspw0/MZbgIAAAAAAACgMtwkSZIkSZIkaaQMNz2f4SYAAAAAAAAAfvCH/88f/9Af/7//nyQpSdYAScqbNUCSJI3S6/cSns9wEwAAAAAAAAAAAAAAAPARhpsAAAAAAAAAAAAAAACAjzDcBAAAAAAAAAAAAAAAAHyE4SYAAAAAAAAAAAAAAADgIww3AQAAAAAAAAAAAAAAAB9huAkAAAAAAAAAAAAAAAD4CMNNAAAAAAAAAAAAAAAAwEcYbgIAAAAAAAAAAAAAAAA+wnATAAAAAAAAAAAAAAAA8BGGmwAAAAAAAAAAAAAAAICPMNwEAAAAAAAAAAAAAAAAfIThJgAAAAAAAAAAAAAAAOAjDDcBAAAAAAAAAAAAAAAAH2G4CQAAAAAAAAAAAAAAAPgIw00AAAAAAAAAAAAAAADARxhuAgAAAAAAAAAAAAAAAD7CcBMAAAAAAAAAAAAAAADwEYabAAAAAAAAAAAAAAAAgI8w3AQAAAAAAAAAAAAAAAB8hOEmAAAAAAAAAAAAAAAA4CMMNwEAAAAAAAAAAAAAAAAfYbgJAAAAAAAAAAAAAAAA+AjDTQAAAAAAAAAAAAAAAMBHGG4CAAAAAAAAAAAAAAAAPsJwEwAAAAAAAAAAAAAAAPARhpsAAAAAAAAAAAAAAACAjzDcBAAAAAAAAAAAAAAAAHyE4SYAAAAAAAAAAAAAAADgIww3AQAAAAAAAAAAAAAAAB9huAkAAAAAAAAAAAAAAAD4CMNNAAAAAAAAAAAAAAAAwEcYbgIAAAAAAAAAAAAAAAA+wnATAAAAAAAAAAAAAAAA8BGGmwAAAAAAAAAAAAAAAICPMNwEAAAAAAAAAAAAAAAAfIThJgAAAAAAAAAAAAAAAOAjDDcBAAAAAAAAAAAAAAAAH2G4CQAAAAAAAAAAAAAAAPgIw00AAAAAAAAAAAAAAADAR/zJcFP5fwAAAAAAAAAAAAAAAACu9e/+3b8Hj2PHDLPSgB8AAAAASUVORK5CYII=\" alt=\"A table contains bowler's name and type of dismissal. The table rows are color-coded by the bowler's name. This table is transformed into a summary table containing the total number of wickets for each unique bowler and the number of bowled or LBW. This table is then transformed by calculating the proportional of bowled or LBW to the total wickets for each bowler. Entries below the thresholds for total wickets or for proportion of bowled/LBW are crossed out. The remaining entries are then sorted by the proportion column to produce the final result table.\" data-image-state=\"image-loaded\" width=\"846\" height=\"681\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 469.967px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 234.983px; transform-origin: 404px 234.983px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 236px 8.5px; tab-size: 4; transform-origin: 236px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003eb = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 340px 8.5px; tab-size: 4; transform-origin: 340px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003ew = [\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e;\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 76px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 76px 8.5px; \"\u003e\"caught and bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 236px 8.5px; tab-size: 4; transform-origin: 236px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 80px 8.5px; transform-origin: 80px 8.5px; \"\u003ewickets = table(b,w,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 60px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 60px 8.5px; \"\u003e'VariableNames'\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e,[\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"Bowler\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003e,\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 44px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 44px 8.5px; \"\u003e\"Dismissal\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003e])\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 36px 8.5px; tab-size: 4; transform-origin: 36px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewickets =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  8\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e2 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 80px 8.5px; transform-origin: 80px 8.5px; \"\u003e    Bowler          \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003eDismissal\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 76px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 76px 8.5px; \"\u003e___________________\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 48px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 48px 8.5px; \"\u003e\"hit wicket\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e       \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 24px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 24px 8.5px; \"\u003e\"Matt\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003e     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003e              \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003e           \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003e              \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"lbw\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003e              \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 36px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 36px 8.5px; \"\u003e\"stumped\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 40px 8.5px; transform-origin: 40px 8.5px; \"\u003e          \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 32px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 32px 8.5px; \"\u003e\"bowled\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003e           \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 136px 8.5px; tab-size: 4; transform-origin: 136px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ned\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 24px 8.5px; transform-origin: 24px 8.5px; \"\u003e      \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 76px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 76px 8.5px; \"\u003e\"caught and bowled\"\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 160px 8.5px; tab-size: 4; transform-origin: 160px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewwprop = wicketwicketprop(wickets,2,0.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 32px 8.5px; tab-size: 4; transform-origin: 32px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ewwprop =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003e  2\u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 4px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 4px 8.5px; \"\u003e×\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 28px 8.5px; transform-origin: 28px 8.5px; \"\u003e3 table\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003e    Bowler     \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003eWickets\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003eWWProp \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(255, 0, 0); border-block-start-color: rgb(255, 0, 0); border-bottom-color: rgb(255, 0, 0); border-inline-end-color: rgb(255, 0, 0); border-inline-start-color: rgb(255, 0, 0); border-left-color: rgb(255, 0, 0); border-right-color: rgb(255, 0, 0); border-top-color: rgb(255, 0, 0); caret-color: rgb(255, 0, 0); color: rgb(255, 0, 0); column-rule-color: rgb(255, 0, 0); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(255, 0, 0); perspective-origin: 28px 8.5px; text-decoration-color: rgb(255, 0, 0); text-emphasis-color: rgb(255, 0, 0); transform-origin: 28px 8.5px; \"\u003e_______\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 28px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 28px 8.5px; \"\u003e\"Renee\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 88px 8.5px; transform-origin: 88px 8.5px; \"\u003e       2             1\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 132px 8.5px; tab-size: 4; transform-origin: 132px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003e    \u003c/span\u003e\u003cspan style=\"border-block-end-color: rgb(170, 4, 249); border-block-start-color: rgb(170, 4, 249); border-bottom-color: rgb(170, 4, 249); border-inline-end-color: rgb(170, 4, 249); border-inline-start-color: rgb(170, 4, 249); border-left-color: rgb(170, 4, 249); border-right-color: rgb(170, 4, 249); border-top-color: rgb(170, 4, 249); caret-color: rgb(170, 4, 249); color: rgb(170, 4, 249); column-rule-color: rgb(170, 4, 249); margin-inline-end: 0px; margin-right: 0px; outline-color: rgb(170, 4, 249); perspective-origin: 20px 8.5px; text-decoration-color: rgb(170, 4, 249); text-emphasis-color: rgb(170, 4, 249); transform-origin: 20px 8.5px; \"\u003e\"Ben\"\u003c/span\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; perspective-origin: 96px 8.5px; transform-origin: 96px 8.5px; \"\u003e         3       0.66667\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function ww = wicketwicketprop(w,nthresh,rthresh)\r\nww = sort(w);\r\nend","test_suite":"%% Bowlers from Australia\r\nb = [\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"JR Hazlewood\";\"PJ Cummins\";\"MA Starc\";\"PJ Cummins\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"JR Hazlewood\";\"MA Starc\";\"JR Hazlewood\";\"JR Hazlewood\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"NM Lyon\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"JR Hazlewood\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"C Green\";\"MA Starc\";\"MA Starc\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"SM Boland\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"C Green\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"SM Boland\";\"SM Boland\";\"SM Boland\";\"NM Lyon\";\"C Green\";\"SM Boland\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"SM Boland\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"SM Boland\";\"C Green\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"C Green\";\"C Green\";\"MA Starc\";\"SM Boland\";\"SM Boland\";\"PJ Cummins\";\"SM Boland\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"C Green\";\"MA Starc\";\"NM Lyon\";\"C Green\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"NM Lyon\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"PJ Cummins\";\"PJ Cummins\";\"PJ Cummins\";\"MA Starc\";\"MA Starc\";\"C Green\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\";\"PJ Cummins\";\"NM Lyon\";\"MA Starc\";\"NM Lyon\";\"NM Lyon\";\"PJ Cummins\"];\r\nw = [\"caught and bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught and bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught and bowled\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,18,0.1);\r\nassert( isequal(wwprop.Bowler,[\"PJ Cummins\";\"MA Starc\";\"SM Boland\";\"NM Lyon\"]) )\r\nassert( isequal(wwprop.Wickets,[44;30;18;33]) )\r\nassert( max(abs(wwprop.WWProp - [0.386363636363636;0.333333333333333;0.277777777777778;0.272727272727273])) \u003c 1e-3 )\r\n%% Bowlers from Bangladesh\r\nb = [\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Nayeem Hasan\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taskin Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Shakib Al Hasan\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Khaled Ahmed\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Taijul Islam\";\"Taijul Islam\";\"Mehedi Hasan Miraz\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Taskin Ahmed\";\"Taskin Ahmed\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Ebadat Hossain\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Nayeem Hasan\";\"Nayeem Hasan\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Taijul Islam\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Ebadat Hossain\";\"Shakib Al Hasan\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Mehedi Hasan Miraz\";\"Ebadat Hossain\";\"Khaled Ahmed\";\"Mehedi Hasan Miraz\";\"Khaled Ahmed\";\"Khaled Ahmed\";\"Khaled Ahmed\"];\r\nw = [\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught and bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"stumped\";\"lbw\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"stumped\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,9,0.4);\r\nassert( isequal(wwprop.Bowler,[\"Nayeem Hasan\";\"Shakib Al Hasan\";\"Taijul Islam\";\"Ebadat Hossain\";\"Mehedi Hasan Miraz\";\"Taskin Ahmed\"]) )\r\nassert( isequal(wwprop.Wickets,[12;15;44;25;42;18]) )\r\nassert( max(abs(wwprop.WWProp - [0.583333333333333;0.533333333333333;0.522727272727273;0.48;0.476190476190476;0.444444444444444])) \u003c 1e-3 )\r\n%% Bowlers from England\r\nb = [\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"MA Wood\";\"MM Ali\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MM Ali\";\"MM Ali\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"C Overton\";\"C Overton\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MM Ali\";\"OE Robinson\";\"C Overton\";\"C Overton\";\"CR Woakes\";\"OE Robinson\";\"JM Anderson\";\"CR Woakes\";\"OE Robinson\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"CR Woakes\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"CR Woakes\";\"C Overton\";\"SCJ Broad\";\"SCJ Broad\";\"DM Bess\";\"SCJ Broad\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"MA Wood\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"MJ Leach\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"DM Bess\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"MJ Leach\";\"MJ Leach\";\"JM Anderson\";\"JM Anderson\";\"JM Anderson\";\"DM Bess\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"MJ Leach\";\"MM Ali\";\"MJ Leach\";\"MM Ali\";\"JE Root\";\"MM Ali\";\"MM Ali\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MM Ali\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JE Root\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"MJ Leach\";\"JM Anderson\";\"BA Stokes\";\"BA Stokes\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"MA Wood\";\"OE Robinson\";\"JM Anderson\";\"OE Robinson\";\"OE Robinson\";\"OE Robinson\";\"SCJ Broad\";\"MA Wood\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"MA Wood\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"C Overton\";\"MA Wood\";\"BA Stokes\";\"CR Woakes\";\"BA Stokes\";\"MJ Leach\";\"C Overton\";\"MJ Leach\";\"BA Stokes\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"BA Stokes\";\"BA Stokes\";\"MJ Leach\";\"CR Woakes\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"BA Stokes\";\"C Overton\";\"CR Woakes\";\"CR Woakes\";\"CR Woakes\";\"BA Stokes\";\"C Overton\";\"JE Root\";\"OE Robinson\";\"MJ Leach\";\"MA Wood\";\"OE Robinson\";\"OE Robinson\";\"CR Woakes\";\"JE Root\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"OE Robinson\";\"SCJ Broad\";\"BA Stokes\";\"OE Robinson\";\"JE Root\";\"BA Stokes\";\"JM Anderson\";\"JM Anderson\";\"BA Stokes\";\"CR Woakes\";\"JM Anderson\";\"SCJ Broad\";\"OE Robinson\";\"OE Robinson\";\"JE Root\";\"JE Root\";\"JM Anderson\";\"OE Robinson\";\"MA Wood\";\"JM Anderson\";\"OE Robinson\";\"JM Anderson\";\"MJ Leach\";\"BA Stokes\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"JM Anderson\";\"MA Wood\";\"SCJ Broad\";\"SCJ Broad\";\"JE Root\";\"SCJ Broad\";\"SCJ Broad\";\"MA Wood\";\"MJ Leach\";\"MA Wood\";\"MJ Leach\";\"MJ Leach\";\"MJ Leach\";\"OE Robinson\";\"SCJ Broad\";\"OE Robinson\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"CR Woakes\";\"SCJ Broad\";\"SCJ Broad\";\"CR Woakes\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"SCJ Broad\";\"MA Wood\";\"JM Anderson\";\"JM Anderson\";\"SCJ Broad\";\"MJ Potts\";\"MJ Potts\";\"MJ Potts\";\"JM Anderson\";\"JM Anderson\";\"MJ Potts\";\"BA Stokes\";\"JM Anderson\";\"MJ Potts\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\";\"MJ Potts\";\"BA Stokes\";\"JM Anderson\";\"BA Stokes\";\"JM Anderson\";\"MJ Leach\";\"JM Anderson\";\"SCJ Broad\";\"SCJ Broad\";\"MJ Leach\";\"MJ Potts\";\"JM Anderson\";\"MJ Leach\";\"MJ Potts\";\"SCJ Broad\";\"MJ Potts\";\"SCJ Broad\";\"SCJ Broad\";\"JM Anderson\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"lbw\";\"stumped\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,14,0.3);\r\nassert( isequal(wwprop.Bowler,[\"MM Ali\";\"BA Stokes\";\"MJ Leach\";\"CR Woakes\";\"JE Root\";\"OE Robinson\"]) )\r\nassert( isequal(wwprop.Wickets,[14;19;48;18;16;39]) )\r\nassert( max(abs(wwprop.WWProp - [0.5;0.421052631578947;0.333333333333333;0.333333333333333;0.3125;0.307692307692308])) \u003c 1e-3 )\r\n%% Bowlers from India\r\nb = [\"Mohammed Siraj\";\"RA Jadeja\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Siraj\";\"R Ashwin\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"SN Thakur\";\"SN Thakur\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Siraj\";\"I Sharma\";\"I Sharma\";\"I Sharma\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Shami\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Siraj\";\"RA Jadeja\";\"SN Thakur\";\"RA Jadeja\";\"SN Thakur\";\"RA Jadeja\";\"JJ Bumrah\";\"JJ Bumrah\";\"RA Jadeja\";\"SN Thakur\";\"UT Yadav\";\"UT Yadav\";\"UT Yadav\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"R Ashwin\";\"I Sharma\";\"I Sharma\";\"JJ Bumrah\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"I Sharma\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"I Sharma\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"I Sharma\";\"Mohammed Shami\";\"I Sharma\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Shami\";\"I Sharma\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"Mohammed Siraj\";\"SN Thakur\";\"Mohammed Shami\";\"Mohammed Shami\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Siraj\";\"JJ Bumrah\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Siraj\";\"Mohammed Shami\";\"Mohammed Shami\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"SN Thakur\";\"SN Thakur\";\"R Ashwin\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"UT Yadav\";\"UT Yadav\";\"Mohammed Shami\";\"Mohammed Shami\";\"JJ Bumrah\";\"JJ Bumrah\";\"SN Thakur\";\"JJ Bumrah\";\"Mohammed Shami\";\"JJ Bumrah\";\"SN Thakur\";\"R Ashwin\";\"UT Yadav\";\"AR Patel\";\"AR Patel\";\"AR Patel\";\"RA Jadeja\";\"AR Patel\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"UT Yadav\";\"R Ashwin\";\"RA Jadeja\";\"AR Patel\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"Mohammed Siraj\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"R Ashwin\";\"AR Patel\";\"R Ashwin\";\"R Ashwin\";\"RA Jadeja\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"RA Jadeja\";\"RA Jadeja\";\"R Ashwin\";\"R Ashwin\";\"Mohammed Shami\";\"RA Jadeja\";\"R Ashwin\";\"RA Jadeja\";\"RA Jadeja\";\"RA Jadeja\";\"Mohammed Shami\";\"R Ashwin\";\"JJ Bumrah\";\"JJ Bumrah\";\"Mohammed Shami\";\"Mohammed Shami\";\"AR Patel\";\"JJ Bumrah\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\";\"RA Jadeja\";\"R Ashwin\";\"AR Patel\";\"AR Patel\";\"JJ Bumrah\";\"R Ashwin\";\"JJ Bumrah\";\"R Ashwin\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught and bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"stumped\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"stumped\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"stumped\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"lbw\";\"stumped\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,9,0.1);\r\nassert( isequal(wwprop.Bowler,[\"RA Jadeja\";\"JJ Bumrah\";\"I Sharma\";\"AR Patel\";\"SN Thakur\";\"R Ashwin\";\"Mohammed Shami\";\"UT Yadav\";\"Mohammed Siraj\"]) )\r\nassert( isequal(wwprop.Wickets,[26;47;14;39;26;67;34;10;31]) )\r\nassert( max(abs(wwprop.WWProp - [0.576923076923077;0.574468085106383;0.5;0.461538461538462;0.423076923076923;0.417910447761194;0.411764705882353;0.4;0.258064516129032])) \u003c 1e-3 )\r\n%% Bowlers from New Zealand\r\nb = [\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"N Wagner\";\"MJ Henry\";\"AY Patel\";\"TA Boult\";\"TA Boult\";\"AY Patel\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"AY Patel\";\"AY Patel\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"MJ Henry\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"KA Jamieson\";\"KA Jamieson\";\"AY Patel\";\"TG Southee\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"AY Patel\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"TA Boult\";\"TA Boult\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"KA Jamieson\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"TG Southee\";\"TA Boult\";\"KA Jamieson\";\"KA Jamieson\";\"TA Boult\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"KA Jamieson\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\";\"MJ Henry\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"TG Southee\";\"MJ Henry\";\"TG Southee\";\"MJ Henry\";\"KA Jamieson\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"TG Southee\";\"TG Southee\";\"N Wagner\";\"MJ Henry\";\"MJ Henry\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"KA Jamieson\";\"TG Southee\";\"TG Southee\";\"MJ Henry\";\"N Wagner\";\"N Wagner\";\"KA Jamieson\";\"MJ Henry\";\"KA Jamieson\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught and bowled\";\"caught and bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,12,0.4);\r\nassert( isequal(wwprop.Bowler,\"AY Patel\") )\r\nassert( isequal(wwprop.Wickets,21) )\r\nassert( max(abs(wwprop.WWProp - 0.476190476190476)) \u003c 1e-3 )\r\n%% Bowlers from Pakistan\r\nb = [\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Nauman Ali\";\"Faheem Ashraf\";\"Nauman Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Hasan Ali\";\"Hasan Ali\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Faheem Ashraf\";\"Hasan Ali\";\"Hasan Ali\";\"Faheem Ashraf\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Nauman Ali\";\"Faheem Ashraf\";\"Hasan Ali\";\"Faheem Ashraf\";\"Sajid Khan\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Hasan Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Sajid Khan\";\"Nauman Ali\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Shaheen Shah Afridi\";\"Nauman Ali\"];\r\nw = [\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught and bowled\";\"bowled\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"lbw\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,15,0.5);\r\nassert( isequal(wwprop.Bowler,\"Hasan Ali\") )\r\nassert( isequal(wwprop.Wickets,43) )\r\nassert( max(abs(wwprop.WWProp - 0.558139534883721)) \u003c 1e-3 )\r\n%% Bowlers from South Africa\r\nb = [\"A Nortje\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"PWA Mulder\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"A Nortje\";\"A Nortje\";\"A Nortje\";\"KA Maharaj\";\"PWA Mulder\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"A Nortje\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"A Nortje\";\"K Rabada\";\"L Ngidi\";\"A Nortje\";\"KA Maharaj\";\"L Ngidi\";\"K Rabada\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"KA Maharaj\";\"KA Maharaj\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"L Ngidi\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"D Olivier\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"M Jansen\";\"M Jansen\";\"L Ngidi\";\"L Ngidi\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"KA Maharaj\";\"K Rabada\";\"K Rabada\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"L Ngidi\";\"L Ngidi\";\"L Ngidi\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"SR Harmer\";\"PWA Mulder\";\"D Olivier\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"D Olivier\";\"PWA Mulder\";\"PWA Mulder\";\"PWA Mulder\";\"D Olivier\";\"KA Maharaj\";\"SR Harmer\";\"SR Harmer\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"KA Maharaj\";\"KA Maharaj\";\"KA Maharaj\";\"SR Harmer\";\"M Jansen\";\"D Olivier\";\"D Olivier\";\"K Rabada\";\"D Olivier\";\"K Rabada\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"K Rabada\";\"KA Maharaj\";\"KA Maharaj\";\"M Jansen\";\"M Jansen\";\"M Jansen\";\"K Rabada\";\"KA Maharaj\"];\r\nw = [\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught and bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"lbw\";\"bowled\";\"caught and bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"stumped\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,9,0.2);\r\nassert( isequal(wwprop.Bowler,[\"KA Maharaj\";\"D Olivier\";\"SR Harmer\";\"PWA Mulder\";\"A Nortje\"]) )\r\nassert( isequal(wwprop.Wickets,[40;11;13;12;25]) )\r\nassert( max(abs(wwprop.WWProp - [0.45;0.363636363636364;0.307692307692308;0.25;0.24])) \u003c 1e-3 )\r\n%% Bowlers from Sri Lanka\r\nb = [\"AM Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"AM Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"AM Fernando\";\"AM Fernando\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"RAS Lakmal\";\"L Embuldeniya\";\"RAS Lakmal\";\"RAS Lakmal\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"L Embuldeniya\";\"L Embuldeniya\";\"MVT Fernando\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"RAS Lakmal\";\"L Embuldeniya\";\"RAS Lakmal\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"MVT Fernando\";\"MVT Fernando\";\"RAS Lakmal\";\"MVT Fernando\";\"RAS Lakmal\";\"RAS Lakmal\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"P Jayawickrama\";\"RAS Lakmal\";\"RAS Lakmal\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"RTM Mendis\";\"RTM Mendis\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"MVT Fernando\";\"RAS Lakmal\";\"RAS Lakmal\";\"MVT Fernando\";\"L Embuldeniya\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"RAS Lakmal\";\"P Jayawickrama\";\"P Jayawickrama\";\"L Embuldeniya\";\"P Jayawickrama\";\"P Jayawickrama\";\"P Jayawickrama\";\"MVT Fernando\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"P Jayawickrama\";\"RTM Mendis\";\"RTM Mendis\";\"P Jayawickrama\";\"RTM Mendis\";\"P Jayawickrama\";\"RAS Lakmal\";\"P Jayawickrama\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"L Embuldeniya\";\"P Jayawickrama\";\"L Embuldeniya\";\"L Embuldeniya\";\"P Jayawickrama\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"RTM Mendis\";\"RTM Mendis\";\"P Jayawickrama\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"L Embuldeniya\";\"RTM Mendis\";\"RTM Mendis\";\"RTM Mendis\";\"L Embuldeniya\";\"L Embuldeniya\";\"L Embuldeniya\";\"RTM Mendis\";\"L Embuldeniya\";\"AM Fernando\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"AM Fernando\";\"L Embuldeniya\";\"AM Fernando\";\"CAK Rajitha\";\"AM Fernando\";\"AM Fernando\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"CAK Rajitha\";\"AM Fernando\";\"AM Fernando\";\"AM Fernando\";\"CAK Rajitha\";\"AM Fernando\";\"CAK Rajitha\";\"AM Fernando\";\"AM Fernando\";\"RTM Mendis\";\"AM Fernando\";\"AM Fernando\"];\r\nw = [\"caught\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"hit wicket\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"stumped\";\"caught\";\"bowled\";\"lbw\";\"caught and bowled\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"bowled\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught and bowled\";\"caught\";\"lbw\";\"lbw\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,15,0.2);\r\nassert( isequal(wwprop.Bowler,[\"RTM Mendis\";\"MVT Fernando\";\"L Embuldeniya\";\"P Jayawickrama\";\"RAS Lakmal\"]) )\r\nassert( isequal(wwprop.Wickets,[27;17;41;25;20]) )\r\nassert( max(abs(wwprop.WWProp - [0.518518518518518;0.470588235294118;0.439024390243902;0.4;0.4])) \u003c 1e-3 )\r\n%% Bowlers from West Indies\r\nb = [\"KAJ Roach\";\"JA Warrican\";\"JA Warrican\";\"JA Warrican\";\"JA Warrican\";\"RRS Cornwall\";\"ST Gabriel\";\"RRS Cornwall\";\"RRS Cornwall\";\"RRS Cornwall\";\"ST Gabriel\";\"RRS Cornwall\";\"JA Warrican\";\"ST Gabriel\";\"JA Warrican\";\"JA Warrican\";\"ST Gabriel\";\"ST Gabriel\";\"RRS Cornwall\";\"AS Joseph\";\"RRS Cornwall\";\"RRS Cornwall\";\"RRS Cornwall\";\"RRS Cornwall\";\"ST Gabriel\";\"AS Joseph\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"JO Holder\";\"JO Holder\";\"JO Holder\";\"KAJ Roach\";\"JO Holder\";\"KAJ Roach\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"AS Joseph\";\"RRS Cornwall\";\"KAJ Roach\";\"RRS Cornwall\";\"RRS Cornwall\";\"AS Joseph\";\"KR Mayers\";\"KAJ Roach\";\"ST Gabriel\";\"JO Holder\";\"AS Joseph\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"AS Joseph\";\"KR Mayers\";\"KAJ Roach\";\"JNT Seales\";\"KAJ Roach\";\"JO Holder\";\"JNT Seales\";\"JO Holder\";\"JNT Seales\";\"JNT Seales\";\"AS Joseph\";\"AS Joseph\";\"KAJ Roach\";\"JO Holder\";\"AS Joseph\";\"AS Joseph\";\"KAJ Roach\";\"AS Joseph\";\"JNT Seales\";\"V Permaul\";\"JO Holder\";\"KAJ Roach\";\"AS Joseph\";\"V Permaul\";\"KAJ Roach\";\"V Permaul\";\"V Permaul\";\"V Permaul\";\"AS Joseph\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"KR Mayers\";\"KR Mayers\";\"JNT Seales\";\"AS Joseph\";\"KAJ Roach\";\"AS Joseph\";\"JNT Seales\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"KR Mayers\";\"KR Mayers\";\"KR Mayers\";\"AS Joseph\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"JNT Seales\";\"JO Holder\";\"JO Holder\";\"RRS Cornwall\";\"KAJ Roach\";\"JO Holder\";\"JO Holder\";\"ST Gabriel\";\"JNT Seales\";\"KAJ Roach\";\"ST Gabriel\";\"KR Mayers\";\"KAJ Roach\";\"JO Holder\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"KR Mayers\";\"KR Mayers\";\"JO Holder\";\"KR Mayers\";\"JNT Seales\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"KAJ Roach\";\"JO Holder\";\"KR Mayers\";\"JNT Seales\";\"JO Holder\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"JNT Seales\";\"JO Holder\";\"KAJ Roach\";\"KR Mayers\";\"JNT Seales\";\"JNT Seales\";\"JNT Seales\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"KAJ Roach\";\"JNT Seales\";\"JO Holder\";\"JO Holder\";\"JNT Seales\";\"AS Joseph\";\"KR Mayers\";\"JO Holder\";\"JO Holder\";\"AS Joseph\";\"ST Gabriel\";\"ST Gabriel\";\"JA Warrican\";\"JA Warrican\";\"JA Warrican\";\"RRS Cornwall\";\"JA Warrican\";\"RRS Cornwall\";\"JA Warrican\";\"JA Warrican\";\"V Permaul\";\"V Permaul\";\"V Permaul\";\"JA Warrican\";\"JA Warrican\";\"V Permaul\";\"V Permaul\";\"JA Warrican\";\"V Permaul\";\"V Permaul\";\"V Permaul\";\"JO Holder\";\"KAJ Roach\";\"KAJ Roach\";\"JNT Seales\";\"AS Joseph\";\"KR Mayers\";\"KR Mayers\";\"JNT Seales\";\"JNT Seales\";\"AS Joseph\";\"AS Joseph\";\"AS Joseph\";\"AS Joseph\";\"KR Mayers\";\"KR Mayers\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"KAJ Roach\";\"AS Joseph\";\"KAJ Roach\"];\r\nw = [\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"caught\";\"stumped\";\"caught\";\"stumped\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught and bowled\";\"caught\";\"caught\";\"bowled\";\"bowled\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"hit wicket\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught and bowled\";\"caught\";\"lbw\";\"caught\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"bowled\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,12,0.2);\r\nassert( isequal(wwprop.Bowler,[\"JA Warrican\";\"KAJ Roach\";\"KR Mayers\";\"JO Holder\";\"V Permaul\";\"JNT Seales\"]) )\r\nassert( isequal(wwprop.Wickets,[19;45;24;26;13;30]) )\r\nassert( max(abs(wwprop.WWProp - [0.421052631578947;0.377777777777778;0.333333333333333;0.307692307692308;0.307692307692308;0.2])) \u003c 1e-3 )\r\n%% Bowlers from Zimbabwe\r\nb = [\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"DT Tiripano\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"DT Tiripano\";\"B Muzarabani\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"B Muzarabani\";\"B Muzarabani\";\"B Muzarabani\";\"DT Tiripano\";\"DT Tiripano\";\"B Muzarabani\"];\r\nw = [\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"lbw\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"caught\";\"bowled\";\"caught\";\"bowled\";\"caught\";\"lbw\";\"caught\";\"lbw\";\"lbw\"];\r\nwickets = table(b,w,'VariableNames',[\"Bowler\",\"Dismissal\"]);\r\nwwprop = wicketwicketprop(wickets,4,0.3);\r\nassert( isequal(wwprop.Bowler,\"B Muzarabani\") )\r\nassert( isequal(wwprop.Wickets,19) )\r\nassert( max(abs(wwprop.WWProp - 0.473684210526316)) \u003c 1e-3 )","published":true,"deleted":false,"likes_count":3,"comments_count":5,"created_by":287,"edited_by":287,"edited_at":"2022-11-11T21:21:28.000Z","deleted_by":null,"deleted_at":null,"solvers_count":15,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-11-07T20:40:07.000Z","updated_at":"2025-12-06T13:35:18.000Z","published_at":"2022-11-08T15:16:46.000Z","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\u003eWhich bowlers threaten your stumps the most? Given a table of all wickets taken during some particular set of matches and two thresholds, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, return a table of the bowlers who have taken at least \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e wickets with a proportional of at least \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e of those wickets being either bowled or LBW. The table returned should be sorted in descending order of this proportion. If bowlers share the same proportion, they should be ordered in descending order of total wickets.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe input table will have two variables, \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\u003eBowler\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eDismissal\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Both are string vectors. The first is the names of the bowlers, the second is the type of wicket, which will be from the set: \\\"bowled\\\", \\\"caught\\\", \\\"caught and bowled\\\", \\\"hit wicket\\\", \\\"lbw\\\", \\\"stumped\\\".\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\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 output table should have three variables: \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\u003eBowler\u003c/w:t\u003e\u003c/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\u003eWickets\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eWWProp\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. The first is the names of the bowlers (string), the second is the number of wickets taken by each bowler (double), and the third is the proportion of each bowler's wickets that were bowled or LBW.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example, with thresholds of \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ew\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:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ep\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e = 0.5:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"681\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"846\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A table contains bowler's name and type of dismissal. The table rows are color-coded by the bowler's name. This table is transformed into a summary table containing the total number of wickets for each unique bowler and the number of bowled or LBW. This table is then transformed by calculating the proportional of bowled or LBW to the total wickets for each bowler. Entries below the thresholds for total wickets or for proportion of bowled/LBW are crossed out. The remaining entries are then sorted by the proportion column to produce the final result table.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[b = [\\\"Ben\\\";\\\"Matt\\\";\\\"Renee\\\";\\\"Renee\\\";\\\"Ben\\\";\\\"Ned\\\";\\\"Ben\\\";\\\"Ned\\\"];\\nw = [\\\"hit wicket\\\";\\\"lbw\\\";\\\"bowled\\\";\\\"lbw\\\";\\\"lbw\\\";\\\"stumped\\\";\\\"bowled\\\";\\\"caught and bowled\\\"];\\nwickets = table(b,w,'VariableNames',[\\\"Bowler\\\",\\\"Dismissal\\\"])\\nwickets =\\n  8×2 table\\n    Bowler          Dismissal     \\n    _______    ___________________\\n    \\\"Ben\\\"      \\\"hit wicket\\\"       \\n    \\\"Matt\\\"     \\\"lbw\\\"              \\n    \\\"Renee\\\"    \\\"bowled\\\"           \\n    \\\"Renee\\\"    \\\"lbw\\\"              \\n    \\\"Ben\\\"      \\\"lbw\\\"              \\n    \\\"Ned\\\"      \\\"stumped\\\"          \\n    \\\"Ben\\\"      \\\"bowled\\\"           \\n    \\\"Ned\\\"      \\\"caught and bowled\\\"\\n    \\nwwprop = wicketwicketprop(wickets,2,0.5)\\nwwprop =\\n  2×3 table\\n    Bowler     Wickets    WWProp \\n    _______    _______    _______\\n    \\\"Renee\\\"       2             1\\n    \\\"Ben\\\"         3       0.66667]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"}],"term":"tag:\"data analysis\"","current_player_id":null,"fields":[{"name":"page","type":"integer","callback":null,"default":1,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"per_page","type":"integer","callback":null,"default":50,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"sort","type":"string","callback":null,"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":null,"prepend":true},{"name":"body","type":"text","callback":null,"default":"*:*","directive":null,"facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":false},{"name":"group","type":"string","callback":null,"default":null,"directive":"group","facet":true,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"difficulty_rating_bin","type":"string","callback":null,"default":null,"directive":"difficulty_rating_bin","facet":true,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"id","type":"integer","callback":null,"default":null,"directive":"id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"tag","type":"string","callback":null,"default":null,"directive":"tag","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"product","type":"string","callback":null,"default":null,"directive":"product","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"created_at","type":"timeframe","callback":{},"default":null,"directive":"created_at","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"profile_id","type":"integer","callback":null,"default":null,"directive":"author_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"created_by","type":"string","callback":null,"default":null,"directive":"author","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"player_id","type":"integer","callback":null,"default":null,"directive":"solver_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"player","type":"string","callback":null,"default":null,"directive":"solver","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"solvers_count","type":"integer","callback":null,"default":null,"directive":"solvers_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"comments_count","type":"integer","callback":null,"default":null,"directive":"comments_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"likes_count","type":"integer","callback":null,"default":null,"directive":"likes_count","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"leader_id","type":"integer","callback":null,"default":null,"directive":"leader_id","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true},{"name":"leading_solution","type":"integer","callback":null,"default":null,"directive":"leading_solution","facet":null,"facet_method":"and","operator":null,"param":"term","static":null,"prepend":true}],"filters":[{"name":"asset_type","type":"string","callback":null,"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":null,"static":"\"cody:problem\"","prepend":true},{"name":"profile_id","type":"integer","callback":{},"default":null,"directive":null,"facet":null,"facet_method":"and","operator":null,"param":"author_id","static":null,"prepend":true}],"query":{"params":{"per_page":50,"term":"tag:\"data analysis\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"tag":[["tag:\"data analysis\"","","\"","data analysis","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039ba8\u003e":null,"#\u003cMathWorks::Search::Field:0x00007f5e8a039b08\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039248\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039e28\u003e":1,"#\u003cMathWorks::Search::Field:0x00007f5e8a039d88\u003e":50,"#\u003cMathWorks::Search::Field:0x00007f5e8a039ce8\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007f5e8a039c48\u003e":"tag:\"data analysis\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039c48\u003e":"tag:\"data analysis\""},"queried_facets":{}},"query_backend":{"connection":{"configuration":{"index_url":"http://index-op-v2/solr/","query_url":"http://search-op-v2/solr/","direct_access_index_urls":["http://index-op-v2/solr/"],"direct_access_query_urls":["http://search-op-v2/solr/"],"timeout":10,"vhost":"search","exchange":"search.topic","heartbeat":30,"pre_index_mode":false,"host":"rabbitmq-eks","port":5672,"username":"cody-search","password":"78X075ddcV44","virtual_host":"search","indexer":"amqp","http_logging":"true","core":"cody"},"query_connection":{"uri":"http://search-op-v2/solr/cody/","proxy":null,"connection":{"parallel_manager":null,"headers":{"User-Agent":"Faraday v1.0.1"},"params":{},"options":{"params_encoder":"Faraday::FlatParamsEncoder","proxy":null,"bind":null,"timeout":null,"open_timeout":null,"read_timeout":null,"write_timeout":null,"boundary":null,"oauth":null,"context":null,"on_data":null},"ssl":{"verify":true,"ca_file":null,"ca_path":null,"verify_mode":null,"cert_store":null,"client_cert":null,"client_key":null,"certificate":null,"private_key":null,"verify_depth":null,"version":null,"min_version":null,"max_version":null},"default_parallel_manager":null,"builder":{"adapter":{"name":"Faraday::Adapter::NetHttp","args":[],"block":null},"handlers":[{"name":"Faraday::Response::RaiseError","args":[],"block":null}],"app":{"app":{"ssl_cert_store":{"verify_callback":null,"error":null,"error_string":null,"chain":null,"time":null},"app":{},"connection_options":{},"config_block":null}}},"url_prefix":"http://search-op-v2/solr/cody/","manual_proxy":false,"proxy":null},"update_format":"RSolr::JSON::Generator","update_path":"update","options":{"url":"http://search-op-v2/solr/cody"}}},"query":{"params":{"per_page":50,"term":"tag:\"data analysis\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"tag":[["tag:\"data analysis\"","","\"","data analysis","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039ba8\u003e":null,"#\u003cMathWorks::Search::Field:0x00007f5e8a039b08\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039248\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039e28\u003e":1,"#\u003cMathWorks::Search::Field:0x00007f5e8a039d88\u003e":50,"#\u003cMathWorks::Search::Field:0x00007f5e8a039ce8\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007f5e8a039c48\u003e":"tag:\"data analysis\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007f5e8a039c48\u003e":"tag:\"data analysis\""},"queried_facets":{}},"options":{"fields":["id","difficulty_rating"]},"join":" "},"results":[{"id":45779,"difficulty_rating":"easy"},{"id":45788,"difficulty_rating":"easy"},{"id":42688,"difficulty_rating":"medium"},{"id":56528,"difficulty_rating":"medium"},{"id":56533,"difficulty_rating":"medium"}]}}