{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2025-12-14T01:33:56.000Z","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":"2025-12-14T00:00:00.000Z","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":54440,"title":"Create an arrow matrix","description":"An arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \r\n                                        \r\n                                        \r\n\r\nWrite a function that takes the number of rows and columns (for N \u003e= 3) as an input, and returns the corresponding arrow matrix.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 305px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 152.5px; transform-origin: 407px 152.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAn arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                        \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 164px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 82px; text-align: left; transform-origin: 384px 82px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                        \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"199\" height=\"158\" style=\"vertical-align: baseline;width: 199px;height: 158px\" src=\"data:image/svg+xml;base64,<svg width="1989" height="1581" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><rect x="946" y="330" width="1989" height="1581"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-946 -330)"><path d="M948.349 333.204 1344.63 333.204 1344.63 637.55 948.349 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 333.204 1740.92 333.204 1740.92 637.55 1344.63 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 333.204 2137.2 333.204 2137.2 637.55 1740.92 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 333.204 2533.49 333.204 2533.49 637.55 2137.2 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 333.204 2929.77 333.204 2929.77 637.55 2533.49 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 637.55 1344.63 637.55 1344.63 954.74 948.349 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 637.55 1740.92 637.55 1740.92 954.74 1344.63 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 637.55 2137.2 637.55 2137.2 954.74 1740.92 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 637.55 2533.49 637.55 2533.49 954.74 2137.2 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 637.55 2929.77 637.55 2929.77 954.74 2533.49 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 954.74 1344.63 954.74 1344.63 1271.93 948.349 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 954.74 1740.92 954.74 1740.92 1271.93 1344.63 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 954.74 2137.2 954.74 2137.2 1271.93 1740.92 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 954.74 2533.49 954.74 2533.49 1271.93 2137.2 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 954.74 2929.77 954.74 2929.77 1271.93 2533.49 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1271.93 1344.63 1271.93 1344.63 1589.12 948.349 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 1271.93 1740.92 1271.93 1740.92 1589.12 1344.63 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 1271.93 2137.2 1271.93 2137.2 1589.12 1740.92 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 1271.93 2533.49 1271.93 2533.49 1589.12 2137.2 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1271.93 2929.77 1271.93 2929.77 1589.12 2533.49 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1589.12 1344.63 1589.12 1344.63 1906.31 948.349 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 1589.12 1740.92 1589.12 1740.92 1906.31 1344.63 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 1589.12 2137.2 1589.12 2137.2 1906.31 1740.92 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 1589.12 2533.49 1589.12 2533.49 1906.31 2137.2 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1589.12 2929.77 1589.12 2929.77 1906.31 2533.49 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 330.912 1344.63 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M1740.92 330.912 1740.92 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2137.2 330.912 2137.2 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2533.49 330.912 2533.49 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 637.55 2932.06 637.55" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 954.74 2932.06 954.74" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1271.93 2932.06 1271.93" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1589.12 2932.06 1589.12" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M948.349 330.912 948.349 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2929.77 330.912 2929.77 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 333.204 2932.06 333.204" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1906.31 2932.06 1906.31" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><text font-family="Calibri,Calibri_MSFontService,sans-serif" font-weight="400" font-size="128" transform="matrix(1 0 0 1 1113.84 528)">1<tspan font-size="128" x="396.285" y="0">0</tspan><tspan font-size="128" x="792.57" y="0">0</tspan><tspan font-size="128" x="1188.85" y="0">0</tspan><tspan font-size="128" x="1585.14" y="0">1</tspan><tspan font-size="128" x="0" y="311">0</tspan><tspan font-size="128" x="396.285" y="311">1</tspan><tspan font-size="128" x="792.57" y="311">0</tspan><tspan font-size="128" x="1188.85" y="311">0</tspan><tspan font-size="128" x="1585.14" y="311">1</tspan><tspan font-size="128" x="0" y="628">0</tspan><tspan font-size="128" x="396.285" y="628">0</tspan><tspan font-size="128" x="792.57" y="628">1</tspan><tspan font-size="128" x="1188.85" y="628">0</tspan><tspan font-size="128" x="1585.14" y="628">1</tspan><tspan font-size="128" x="0" y="946">0</tspan><tspan font-size="128" x="396.285" y="946">0</tspan><tspan font-size="128" x="792.57" y="946">0</tspan><tspan font-size="128" x="1188.85" y="946">1</tspan><tspan font-size="128" x="1585.14" y="946">1</tspan><tspan font-size="128" x="0" y="1263">1</tspan><tspan font-size="128" x="396.285" y="1263">1</tspan><tspan font-size="128" x="792.57" y="1263">1</tspan><tspan font-size="128" x="1188.85" y="1263">1</tspan><tspan font-size="128" x="1585.14" y="1263">1</tspan></text></g></svg>\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes the number of rows and columns (for \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026gt;= 3) as an input, and returns the corresponding arrow matrix.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = arrow(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 3;\r\ny_correct = [1 0 1; 0 1 1; 1 1 1];\r\nassert(isequal(arrow(x),y_correct))\r\n\r\n%%\r\nx = 6;\r\ny_correct = [1 0 0 0 0 1; 0 1 0 0 0 1; 0 0 1 0 0 1; 0 0 0 1 0 1; 0 0 0 0 1 1; 1 1 1 1 1 1];\r\nassert(isequal(arrow(x),y_correct))","published":true,"deleted":false,"likes_count":11,"comments_count":1,"created_by":571375,"edited_by":571375,"edited_at":"2022-10-03T14:11:46.000Z","deleted_by":null,"deleted_at":null,"solvers_count":560,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-05-03T17:40:18.000Z","updated_at":"2026-03-20T13:55:48.000Z","published_at":"2022-10-03T14:11:46.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                        \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                        \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"158\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"199\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes the number of rows and columns (for \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026gt;= 3) as an input, and returns the corresponding arrow matrix.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.svg+xml\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.svg+xml\",\"contentType\":\"image/svg+xml\",\"content\":\"data:image/svg+xml;base64,<svg width="1989" height="1581" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><rect x="946" y="330" width="1989" height="1581"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-946 -330)"><path d="M948.349 333.204 1344.63 333.204 1344.63 637.55 948.349 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 333.204 1740.92 333.204 1740.92 637.55 1344.63 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 333.204 2137.2 333.204 2137.2 637.55 1740.92 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 333.204 2533.49 333.204 2533.49 637.55 2137.2 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 333.204 2929.77 333.204 2929.77 637.55 2533.49 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 637.55 1344.63 637.55 1344.63 954.74 948.349 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 637.55 1740.92 637.55 1740.92 954.74 1344.63 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 637.55 2137.2 637.55 2137.2 954.74 1740.92 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 637.55 2533.49 637.55 2533.49 954.74 2137.2 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 637.55 2929.77 637.55 2929.77 954.74 2533.49 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 954.74 1344.63 954.74 1344.63 1271.93 948.349 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 954.74 1740.92 954.74 1740.92 1271.93 1344.63 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 954.74 2137.2 954.74 2137.2 1271.93 1740.92 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 954.74 2533.49 954.74 2533.49 1271.93 2137.2 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 954.74 2929.77 954.74 2929.77 1271.93 2533.49 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1271.93 1344.63 1271.93 1344.63 1589.12 948.349 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 1271.93 1740.92 1271.93 1740.92 1589.12 1344.63 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 1271.93 2137.2 1271.93 2137.2 1589.12 1740.92 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 1271.93 2533.49 1271.93 2533.49 1589.12 2137.2 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1271.93 2929.77 1271.93 2929.77 1589.12 2533.49 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1589.12 1344.63 1589.12 1344.63 1906.31 948.349 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 1589.12 1740.92 1589.12 1740.92 1906.31 1344.63 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 1589.12 2137.2 1589.12 2137.2 1906.31 1740.92 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 1589.12 2533.49 1589.12 2533.49 1906.31 2137.2 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1589.12 2929.77 1589.12 2929.77 1906.31 2533.49 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 330.912 1344.63 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M1740.92 330.912 1740.92 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2137.2 330.912 2137.2 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2533.49 330.912 2533.49 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 637.55 2932.06 637.55" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 954.74 2932.06 954.74" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1271.93 2932.06 1271.93" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1589.12 2932.06 1589.12" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M948.349 330.912 948.349 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2929.77 330.912 2929.77 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 333.204 2932.06 333.204" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1906.31 2932.06 1906.31" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><text font-family="Calibri,Calibri_MSFontService,sans-serif" font-weight="400" font-size="128" transform="matrix(1 0 0 1 1113.84 528)">1<tspan font-size="128" x="396.285" y="0">0</tspan><tspan font-size="128" x="792.57" y="0">0</tspan><tspan font-size="128" x="1188.85" y="0">0</tspan><tspan font-size="128" x="1585.14" y="0">1</tspan><tspan font-size="128" x="0" y="311">0</tspan><tspan font-size="128" x="396.285" y="311">1</tspan><tspan font-size="128" x="792.57" y="311">0</tspan><tspan font-size="128" x="1188.85" y="311">0</tspan><tspan font-size="128" x="1585.14" y="311">1</tspan><tspan font-size="128" x="0" y="628">0</tspan><tspan font-size="128" x="396.285" y="628">0</tspan><tspan font-size="128" x="792.57" y="628">1</tspan><tspan font-size="128" x="1188.85" y="628">0</tspan><tspan font-size="128" x="1585.14" y="628">1</tspan><tspan font-size="128" x="0" y="946">0</tspan><tspan font-size="128" x="396.285" y="946">0</tspan><tspan font-size="128" x="792.57" y="946">0</tspan><tspan font-size="128" x="1188.85" y="946">1</tspan><tspan font-size="128" x="1585.14" y="946">1</tspan><tspan font-size="128" x="0" y="1263">1</tspan><tspan font-size="128" x="396.285" y="1263">1</tspan><tspan font-size="128" x="792.57" y="1263">1</tspan><tspan font-size="128" x="1188.85" y="1263">1</tspan><tspan font-size="128" x="1585.14" y="1263">1</tspan></text></g></svg>\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55220,"title":"Matrix Quadrants","description":"Write a function that takes N as the input, and outputs a matrix whose upper-left (NxN) quadrant contains all ones, the lower-right (NxN) quadrant contains all N's, and zeros everywhere else. For example, if N = 3: \r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 363px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 181.5px; transform-origin: 407px 181.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e as the input, and outputs a matrix whose upper-left (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eNxN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) quadrant contains all ones, the lower-right (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eNxN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) quadrant contains all \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e's, and zeros everywhere else. For example, if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN = 3\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e: \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 282px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 141px; text-align: left; transform-origin: 384px 141px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"321\" height=\"276\" style=\"vertical-align: baseline;width: 321px;height: 276px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: center; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function M = foursquare(N)\r\n  M = N;\r\nend","test_suite":"%%\r\ny = [1 1 0 0; 1 1 0 0; 0 0 2 2; 0 0 2 2];\r\nassert(isequal(foursquare(2),y))\r\n%%\r\ny = [1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5];\r\nassert(isequal(foursquare(5),y))\r\n%%\r\nfor k = 1:5\r\n    n = randi([3 20]);\r\n    y = foursquare(n);\r\n    assert( isequal(size(y),2*n*[1 1]) )\r\n    assert( isequal(y,y') )\r\n    assert( isequal(sum(y,1),[n*ones(1,n) n*n*ones(1,n)]) )\r\nend","published":true,"deleted":false,"likes_count":16,"comments_count":5,"created_by":140016,"edited_by":140016,"edited_at":"2022-10-03T14:08:22.000Z","deleted_by":null,"deleted_at":null,"solvers_count":872,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:24:20.000Z","updated_at":"2026-03-31T09:28:38.000Z","published_at":"2022-10-03T14:08:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e as the input, and outputs a matrix whose upper-left (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNxN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) quadrant contains all ones, the lower-right (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNxN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) quadrant contains all \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e's, and zeros everywhere else. For example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN = 3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e: \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"276\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"321\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"center\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoEAAAIoCAYAAAAWQDGeAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAB3RJTUUH5gUDDR4jqGKvXwAAIABJREFUeJzt3X9wVvWd//1XCh2HrohXrqLxhkXJlbpCG7OUgOhe4KJIEla5qUUS97sVvqZLAuzX2sYvkapdu0radFhwdhghbPGmtqOkSwrb3q0EKe402SgxwGbNSrfkR7GF5utNuIBgUQRy/4EcORBJIOe6zgfez8cM0/M5ObnynnlN57w817nOldbT09MjAAAAmPKpsAcAAABA6lECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYJAzJbCoqEhpaWlKS0vT+vXrP/G4qqoqpaWl6Xvf+14Kp/vY+vXrlZ+f782alpamoqIi1dfXhzIPAADApXCmBB46dMjbXrhwodrb23s97vDhw6ka6TwTJkzQgw8+qNraWuXl5SkvL0+SVF1drcmTJ+sXv/hFaLMBAABcDGdK4BmRSESJRELLli0Le5TztLW16eWXX9aBAwe0efNmbd68WQcOHFBubq4k6ZFHHgl5QgAAgP5xrgQ+/vjjkqRVq1Y59xbrwYMHVVRUpGg06u2LRqMqKyuTdLokAgAAXA6cK4F33HGHFixYIEl69tlnQ56mf0aOHBn2CAAAABdlcNgD9Oaxxx7T+vXrVVtbq/Xr16uoqOiSXqe9vV0LFy7s17HPP/+8MjMzL+nvNDQ0SJJisdgl/T4AAECqOVkCMzMz9fjjj6u8vFxPPvmk7rnnHt9bsP3V3d2t2trafh97KaqqqlReXi5J+qd/+qdLeg0AAIBUc+7t4DOKi4sVi8XU1tamtWvXXtJr5OTkqKenp1//cnJy+vWa3/ve95Sfn6/8/Hylp6ertLRUubm5+vnPf64ZM2Zc0pwAAACp5mwJjEaj3j2B3/3udz/xkTGptnPnTtXW1qq2tlaJREKS1NTUpBdffFHNzc0hTwcAANA/zpZA6fQDpPPy8px6ZMz69eu9q4cHDhzQz3/+c+Xm5qq6ulpTp06lCAIAgMuC0yVQkp588klJpx8Zc7EFq7m52ffNHhf6dynlLRqNasaMGdq8ebNisZgSiYS+853vXPTrAAAApJqTHww5Wzwe14IFC7Rq1SqVl5frrrvu6vfvDh061PtWj/4ce6mi0agKCwtVUVHh++YTAAAAVzlfAiX/I2MuRmZmpjZv3pykqfx27NiRkr8DAAAQBOffDpY+fmSMpIsugkGpqqpSfn5+r99iUlVV5c01b968FE8GAABw8S6LK4HS6UfGrFmzJrSvZhs2bJj3qeBIJKKJEydKkhobG71PCS9YsOCSH2wNAACQSs5dCfyke/Oi0ajWrVunSCQi6XQpS6WioiLV1dVpwYIFSk9P9wqhJBUWFqqurk7PP/98SmcCAAC4VGk9PT09YQ8BAACA1HLuSiAAAACSjxIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDBifjRW+66SbdcccdyXhpXKSGhgaycERDQ4MmTZqkT32K//YKW0NDg2677TYNGjQo7FHMa2ho0IQJE/TpT3867FHMa2ho0Pjx43XVVVeFPYp5r7/+un72s5/pC1/4QlL/TuAlcN++fdq7d69Opg3W0GGRoF8eF+HkiRPau3evTmiQrrk2PexxTDt18qT27t2rD3s+pWGRaNjjmHbq1Cnt3btXgwYN0nXXXRf2OKadyeJTn/qUrr/++rDHMa2np0d79+5VWlqaMjIywh7HvN/+9rdau3atVqxYkdS/k5QrgZJU/OhTmpI3M1kvj344dPCAvvwXN+t/PvJNTZ1xf9jjmNZ95JBm3ZaphxaV656Zc8Iex7Rjf3xP947/Uz3xxBN6+OGHwx7HtPfff19DhgxReXm5SkpKwh7HtJMnT2rw4MF67LHHtGjRorDHMW/QoEG68cYbk/53eF8KAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEtiLI4cOau1zz+ruMem6e0y6nvlGcdgjmUUW7iCL8NXX12vhwoWaMGGC0tLSvH8TJkzQE088ofb29rBHNIMs3EEWl25w2AO4pmXHG6r85iLtf6fD2/de9+EQJ7KLLNxBFuHq6urSokWLVF1d3evPm5qa1NTUpIqKClVWVmrx4sUpntAOsnAHWQwcJfAsa597Vi9VLQ97DIgsXEIW4erq6lJ+fr6ampp8+/Py8iRJra2tamtr8/aXl5fr8OHDWrp0aUrntIAs3EEWweDtYEltv27Rwgfu9p3ohl5zbYgT2UUW7iALNyxfvtx3oqusrNSBAwe0efNmbd68Wa2traqrq1MsFvOOqaioUH19fRjjXtHIwh1kEQzzJXD7r17V/C9N0X+37JJ0+iRXUVWtB+c/GvJk9pCFO8jCDe3t7aqoqPDWZ97SikajvuPi8bhqamoUiUS8fStXrkzZnBaQhTvIIjjmS+Bv9+z2tv+65Bt6sbZJt025J8SJ7CILd5CFG5YtW+Ztx2KxC97TlJOTowULFnjr6upqdXV1JXU+S8jCHWQRHPMlUJImxO/Smo2/UvGjT+qaa9PDHsc0snAHWYRvy5Yt3nZhYWGfx8+ZM8e33r59e+AzWUUW7iCL4JgvgYXFj+i7/7xBsVu+EPYo5pGFO8gifO3t7b4b2wsKCvr8nZycHN+6paUl8LksIgt3kEWwzJdAAHDR/v37fesxY8b06/fOfDpSkrZt2xboTFaRhTvIIliUQABwUENDg2997k3vSB2ycAdZBIsSCACOO/vTjX0ZP358EicBWbiDLAaOEggAjps4cWK/jx02bJi33djYmIxxTCMLd5DFwFECAeAKlUgkwh4BHyELd5DFxyiBAHCFOvvbEhAusnAHWXyMEggAjqutrb2k38vKygp4EpCFO8hi4CiBAHAF4fEX7iALd5BF7yiBAOCgUaNG+daX8lVXmZmZQY1jGlm4gyyCRQkEAAeNHDnSt969e/cnHOl39icfz/2mBFwasnAHWQSLEggADorH4771uQ/J7U1zc7Pvk4+TJk0KfC6LyMIdZBEsSiAAOCo3N9fbXrNmTZ/HV1VVeduxWIwrHgEiC3eQRXAogQDgqLKyMm+7ra3NdzI7V3Nzs1atWuWt58+fn9TZrCELd5BFcCiBAOCooqIi3zPNSktLez3hrV+/XlOnTvXWsVhMxcXFKZnRCrJwB1kEZ3DYA4StZccb+tHqZeft3/dOh7f96//cqcf/drbv538ydJieWr426fNZQhbuIAt3rFu3TpMnT/bWpaWlWrJkifeVWY2Njb77nSKRiGpqahSNRlM+65WOLNxBFsEwXwL/6z8a9Wb9hZ8f1H3kUK/HcLILFlm4gyzcEY/HVVdXp5kzZ3ontUQi0euDcmOxmGpqarjnKUnIwh1kEQzzbwdfd8PIvg/qxdBrrg14EpCFO8jCLfF4XHv27NHq1auVl5enSCTi/SwSiaiwsFAvv/yyWltbOdElGVm4gywGzvyVwKkz7tfUGfeHPQZEFi4hC/dEo1GVlJSopKQk7FHMIwt3kMXAmL8SCAAAYBElEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGDQ4GS98IF39+ud9t8k6+XRD0cOJSRJB/7PH8giZO8dPSJJ6nq3kyxC9v6xY5KkP/zhD9q9e3fI09j2wQcfSJI6OzvJImSnTp2SRBbWpPX09PQE+YI7duxQbm5ukC8JAABgyqxZs7Rx48ak/o3ArwRmZGRIkr6y4H8rO/f2oF8eF+Fo92H9w6P/U/+j5BvKmRgPexzTjv3xqP7+fz2koq9+TV+8/c6wxzHtgw/e11ML/1plZWXKy8sLexzTjh8/rnvvvVdf+9rX9Fd/9Vdhj2PaqVOnlJ+fr7/7u7/TzJkzwx7HvLy8PN15Z/LPFUl7Ozjzzz6v8Xf8ZbJeHv1w6OABSdLom8eSRci6jxySJN30uTFkEbJjf3xPkjR27Fjdc889IU9j2/vvvy9JGjNmDFmE7OTJk5KkW265hSwckJaWlpK/wwdDAAAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIG9OHLooNY+96zuHpOuu8ek65lvFIc9kllk4Q6yCF99fb0WLlyoCRMmKC0tzfs3YcIEPfHEE2pvbw97RDPIwh1kcekGhz2Aa1p2vKHKby7S/nc6vH3vdR8OcSK7yMIdZBGurq4uLVq0SNXV1b3+vKmpSU1NTaqoqFBlZaUWL16c4gntIAt3kMXAUQLPsva5Z/VS1fKwx4DIwiVkEa6uri7l5+erqanJtz8vL0+S1Nraqra2Nm9/eXm5Dh8+rKVLl6Z0TgvIwh1kEQzeDpbU9usWLXzgbt+Jbug114Y4kV1k4Q6ycMPy5ct9J7rKykodOHBAmzdv1ubNm9Xa2qq6ujrFYjHvmIqKCtXX14cx7hWNLNxBFsEwXwK3/+pVzf/SFP13yy5Jp09yFVXVenD+oyFPZg9ZuIMs3NDe3q6KigpvfeYtrWg06jsuHo+rpqZGkUjE27dy5cqUzWkBWbiDLIJjvgT+ds9ub/uvS76hF2ubdNuUe0KcyC6ycAdZuGHZsmXediwWu+A9TTk5OVqwYIG3rq6uVldXV1Lns4Qs3EEWwTFfAiVpQvwurdn4KxU/+qSuuTY97HFMIwt3kEX4tmzZ4m0XFhb2efycOXN86+3btwc+k1Vk4Q6yCI75ElhY/Ii++88bFLvlC2GPYh5ZuIMswtfe3u67sb2goKDP38nJyfGtW1paAp/LIrJwB1kEy3wJBAAX7d+/37ceM2ZMv37vzKcjJWnbtm2BzmQVWbiDLIJFCQQABzU0NPjW5970jtQhC3eQRbAogQDguLM/3diX8ePHJ3ESkIU7yGLgKIEA4LiJEyf2+9hhw4Z5242NjckYxzSycAdZDBwlEACuUIlEIuwR8BGycAdZfIwSCABXqLO/LQHhIgt3kMXHKIEA4Lja2tpL+r2srKyAJwFZuIMsBo4SCABXEB5/4Q6ycAdZ9I4SCAAOGjVqlG99KV91lZmZGdQ4ppGFO8giWJRAAHDQyJEjfevdu3d/wpF+Z3/y8dxvSsClIQt3kEWwKIEA4KB4PO5bn/uQ3N40Nzf7Pvk4adKkwOeyiCzcQRbBogQCgKNyc3O97TVr1vR5fFVVlbcdi8W44hEgsnAHWQSHEggAjiorK/O229rafCezczU3N2vVqlXeev78+UmdzRqycAdZBIcSCACOKioq8j3TrLS0tNcT3vr16zV16lRvHYvFVFxcnJIZrSALd5BFcAaHPUDYWna8oR+tXnbe/n3vdHjbv/7PnXr8b2f7fv4nQ4fpqeVrkz6fJWThDrJwx7p16zR58mRvXVpaqiVLlnhfmdXY2Oi73ykSiaimpkbRaDTls17pyMIdZBEM8yXwv/6jUW/WX/j5Qd1HDvV6DCe7YJGFO8jCHfF4XHV1dZo5c6Z3UkskEr0+KDcWi6mmpoZ7npKELNxBFsEw/3bwdTeM7PugXgy95tqAJwFZuIMs3BKPx7Vnzx6tXr1aeXl5ikQi3s8ikYgKCwv18ssvq7W1lRNdkpGFO8hi4MxfCZw6435NnXF/2GNAZOESsnBPNBpVSUmJSkpKwh7FPLJwB1kMjPkrgQAAABZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGDU7WC//LupV67ZWfJOvl0Q8fHj8uSar5wSr9astPQ57GthMffihJ2vijNWrY9ouQp7Ht5IkTkqRVq1bplVdeCXka206ePClJWrNmjbZu3RryNLb19PRIktauXat/+7d/C3cYqKenR4cPH07630laCXyvu1uDBx9I1sujH06cOF083jvarU93kUWYTp48XTz+eLRbh8giVKdOnS4eR44c0bvvvhvyNLadOnVKktTd3U0WITtTAsnCDT09Peru7k7630laCZz3v5ZoSt7MZL08+uHQwQP68l/crIcWLdbUGfeHPY5p3UcOadZtmfofpWW6Z+acsMcx7dgf39O94/9U5eXlevjhh8Mex7T3339fQ4YMUVlZmUpKSsIex7STJ09q8ODBevTRR7Vo0aKwxzFv0KBBGjlyZNL/DvcEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQJ7ceTQQa197lndPSZdd49J1zPfKA57JLPIwh1kEb76+notXLhQEyZMUFpamvdvwoQJeuKJJ9Te3h72iGaQhTvI4tINDnsA17TseEOV31yk/e90ePve6z4c4kR2kYU7yCJcXV1dWrRokaqrq3v9eVNTk5qamlRRUaHKykotXrw4xRPaQRbuIIuBowSeZe1zz+qlquVhjwGRhUvIIlxdXV3Kz89XU1OTb39eXp4kqbW1VW1tbd7+8vJyHT58WEuXLk3pnBaQhTvIIhi8HSyp7dctWvjA3b4T3dBrrg1xIrvIwh1k4Ybly5f7TnSVlZU6cOCANm/erM2bN6u1tVV1dXWKxWLeMRUVFaqvrw9j3CsaWbiDLIJhvgRu/9Wrmv+lKfrvll2STp/kKqqq9eD8R0OezB6ycAdZuKG9vV0VFRXe+sxbWtFo1HdcPB5XTU2NIpGIt2/lypUpm9MCsnAHWQTHfAn87Z7d3vZfl3xDL9Y26bYp94Q4kV1k4Q6ycMOyZcu87VgsdsF7mnJycrRgwQJvXV1dra6urqTOZwlZuIMsgmO+BErShPhdWrPxVyp+9Eldc2162OOYRhbuIIvwbdmyxdsuLCzs8/g5c+b41tu3bw98JqvIwh1kERzzJbCw+BF99583KHbLF8IexTyycAdZhK+9vd13Y3tBQUGfv5OTk+Nbt7S0BD6XRWThDrIIlvkSCAAu2r9/v289ZsyYfv3emU9HStK2bdsCnckqsnAHWQSLEggADmpoaPCtz73pHalDFu4gi2BRAgHAcWd/urEv48ePT+IkIAt3kMXAUQIBwHETJ07s97HDhg3zthsbG5Mxjmlk4Q6yGDhKIABcoRKJRNgj4CNk4Q6y+BglEACuUGd/WwLCRRbuIIuPUQIBwHG1tbWX9HtZWVkBTwKycAdZDBwlEACuIDz+wh1k4Q6y6B0lEAAcNGrUKN/6Ur7qKjMzM6hxTCMLd5BFsCiBAOCgkSNH+ta7d+/+hCP9zv7k47nflIBLQxbuIItgUQIBwEHxeNy3Pvchub1pbm72ffJx0qRJgc9lEVm4gyyCRQkEAEfl5uZ622vWrOnz+KqqKm87FotxxSNAZOEOsggOJRAAHFVWVuZtt7W1+U5m52pubtaqVau89fz585M6mzVk4Q6yCA4lEAAcVVRU5HumWWlpaa8nvPXr12vq1KneOhaLqbi4OCUzWkEW7iCL4AwOe4Cwtex4Qz9avey8/fve6fC2f/2fO/X43872/fxPhg7TU8vXJn0+S8jCHWThjnXr1mny5MneurS0VEuWLPG+MquxsdF3v1MkElFNTY2i0WjKZ73SkYU7yCIY5kvgf/1Ho96sv/Dzg7qPHOr1GE52wSILd5CFO+LxuOrq6jRz5kzvpJZIJHp9UG4sFlNNTQ33PCUJWbiDLIJh/u3g624Y2fdBvRh6zbUBTwKycAdZuCUej2vPnj1avXq18vLyFIlEvJ9FIhEVFhbq5ZdfVmtrKye6JCMLd5DFwJm/Ejh1xv2aOuP+sMeAyMIlZOGeaDSqkpISlZSUhD2KeWThDrIYGPNXAgEAACyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMGpysF+7c/47a/rslWS+Pfug+fEiS9H/2/44sQvbHo92SpHf/8HuyCNkHx45Jkn73u9+pubk55GlsO378uCTp97//PVmE7NSpU5Kkffv2kYUhaT09PT1BvuCOHTuUm5sb5EsCAACYMmvWLG3cuDGpfyPwK4EZGRmSpG9/+9u68847g355XIRDhw5p1qxZ+ta3vqW77ror7HFM6+7u1n333advfvObmj59etjjmHbs2DEVFBToG/dP1vTxN4c9jmnHT5zUzL9fp0dm/YVmTLgl7HFMO9VzSjOe/H+0aObtuu+2sWGPY17Bky+kpEMl7e3gsWPHUgJD9u6770qSxowZQxYhSyQSkqRbbrmFLEJ29OhRSdLnRnxW8S/cFO4wxr1//IQkKev/ipJFyE5+9HZw7AaycEFaiv4OHwwBAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAwaHPYALqmvr9dLL72kN998U01NTd7+3NxcTZ8+XcXFxcrMzAxxQjvIwh1k4YbX396rLTv36Je7WrWzdZ+3f3RGuu4el6XCKbfq9rE3hjihHWThDrIYGEqgpK6uLi1atEjV1dW9/rypqUlNTU2qqKhQZWWlFi9enOIJ7SALd5CFG97q6NRTP6jV1l2tvf68o/Ogvv9Ko77/SqOmjcvSC2UPKH3oZ1I8pQ1k4Q6yCIb5EtjV1aX8/HzfFQ5JysvLkyS1traqra3N219eXq7Dhw9r6dKlKZ3TArJwB1m4oaMzoYInX9Cho8e8fddePUS5nxshSWras8/3s627WvXwP/6LNj09N+WzXunIwh1kERzzJXD58uW+E11lZaWKi4sVjUa9ffX19Zo3b5530quoqFBBQYHi8XjK572SkYU7yMINnQePeCezaeOyVD7nL897a2tD3Vt6dPXPvOO27mpV7Y7fKG/8zSmf90pGFu4gi+CY/mBIe3u7KioqvPWZt7TOPtFJUjweV01NjSKRiLdv5cqVKZvTArJwB1m44+ohV2l0Rrpe/c5Xtenpub3e2zR7craeK73Pt++N3e+kakQzyMIdZBEc0yVw2bJl3nYsFrvgPU05OTlasGCBt66urlZXV1dS57OELNxBFu7IHp2ht6q+3ueN7bMnZ/vWu866QR7BIAt3kEVwTJfALVu2eNuFhYV9Hj9nzhzfevv27YHPZBVZuIMsLn83ZaSHPQI+QhbuIIvzmS2B7e3tvhvbCwoK+vydnJwc37qlpSXwuSwiC3eQxeWpozPhW2ePzghpEpCFO8iib2ZL4P79+33rMWPG9Ov3znw6UpK2bdsW6ExWkYU7yOLy9PXVP/W2r716iL50x+dDnMY2snAHWfTN7KeDGxoafOtzb3pH6pCFO8ji8vL623tVvvYV30Nynyu9j+ehhYAs3EEW/We2BJ7t7E839mX8+PGqra1N4jS2kYU7yMIdHZ0J31UN6fxnoX3SozIQLLJwB1kMHCVQ0sSJE/t97LBhw7ztxsbGZIxjGlm4gyzcsamh5RO/GUE6faL7m7u/yIkuBcjCHWQxcGbvCQxCIpHo+yCkBFm4gyyCN+mWURf8+dZdrZq37MfKLlmh2h2/SdFUNpGFO8hi4LgSOACxWCzsEfARsnAHWQTv9rE36ui/PuPb19GZ0I49v9ePfrnTuxrS0XlQX/6HH2rdY3POe0YagkEW7iCLgeNKoHTJ9zJlZWUFPAnIwh1k4bbRGRHNnpytTU/P1brH/M9qnLfsx+c9HgPJQxbuIIuLQwm8SDz+wh1k4Q6yCNfsydl6Zu50374Xt+4IaRrbyMIdZNE3syVw1Cj/vQSX8lVXmZmZQY1jGlm4gywuX3PvGe9b8xVZ4SELd5DFhZktgSNHjvStd+/e3a/fO/uTj+d+UwIuDVm4gywuXzwDzR1k4Q6yuDCzJTAej/vW5z4ktzfNzc2+Tz5OmjQp8LksIgt3kAUA2GG2BEpSbm6ut71mzZo+j6+qqvItBTKxAAAVY0lEQVS2Y7EYVzwCRBbuIIvL0+tv7/Wtb8pID2kSkIU7yOLCTJfAsrIyb7utrc13MjtXc3OzVq1a5a3nz5+f1NmsIQt3kIU7sktWaMVP6vp1bPnaV3zrwim3JmMks8jCHWQRHNMlsKioyPdMs9LS0l5PeOvXr9fUqVO9dSwWU3FxcUpmtIIs3EEW7ujoPKinfrBF2SUrtLb2zV4fb/H623s1pWy173tSp43L4lsSAkYW7iCL4Jh/WPS6des0efJkb11aWqolS5Z4X5nV2Njou98pEomopqZG0Wg05bNe6cjCHWThhtEZ6eroPKiOzoP62vM/9fbFbjj9lta535MqSV/MGqEXyh5I+axXOrJwB1kEx/SVQOn0jfB1dXWKRCLevkQiodraWtXW1vpOdLFYTK+99hr3PCUJWbiDLNzw0uMPato4/8O3OzoPauuuVm3d1Xreie6rBRO16emH+ERkEpCFO8giOOavBEqnT3h79uzRhg0btHHjRt9VjkgkounTp2vWrFkqKioKedIrH1m4gyzClz06Q5uenqu3Ojr1k39v0a7Wfedd5Zg2LkvjskbooWnjNTojcoFXw0CQhTvIIjiUwI9Eo1GVlJSopKQk7FHMIwt3kIUbskdnKHt0RthjQGThErIYOPNvBwMAAFhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYNDhZL1xZWakf/vCHyXp59MMHH3wgSVq2bJlefvnlkKex7cMPP5QkrVixQhs2bAh5GttOnDghSVr1/76hn23fHfI0tp061SNJWvOLRm1u+k3I09jW03M6i7Wb39TWXa0hT4Oenh51dXUl/e8krQR+8MEHeu+995L18uiH48ePSyILF5wpgWQRvpMnT0qSjp84oT++fzzkaWw79VHxIIvw9Xz0v8dPnCQLB/To43N4MiWtBH7rW9/S7Nmzk/Xy6Id3331X119/vZ544gkVFRWFPY5piURC6enpevzxx/WVr3wl7HFMO3r0qIYOHaqvzYrrK9O+GPY4pr1//IQ++8C39Xcz79DDeRPCHse0k6dOadiX/l4L7p2k+TNuC3sc866Z9S3dcMMNSf873BMIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABg0OOwBXFJfX6+XXnpJb775ppqamrz9ubm5mj59uoqLi5WZmRnihHaQhTvIwg2vv71XW3bu0S93tWpn6z5v/+iMdN09LkuFU27V7WNvDHFCO8jCHWQxMJRASV1dXVq0aJGqq6t7/XlTU5OamppUUVGhyspKLV68OMUT2kEW7iALN7zV0amnflCrrbtae/15R+dBff+VRn3/lUZNG5elF8oeUPrQz6R4ShvIwh1kEQzzJbCrq0v5+fm+KxySlJeXJ0lqbW1VW1ubt7+8vFyHDx/W0qVLUzqnBWThDrJwQ0dnQgVPvqBDR495+669eohyPzdCktS0Z5/vZ1t3terhf/wXbXp6bspnvdKRhTvIIjjmS+Dy5ct9J7rKykoVFxcrGo16++rr6zVv3jzvpFdRUaGCggLF4/GUz3slIwt3kIUbOg8e8U5m08ZlqXzOX5731taGurf06Oqfecdt3dWq2h2/Ud74m1M+75WMLNxBFsEx/cGQ9vZ2VVRUeOszb2mdfaKTpHg8rpqaGkUiEW/fypUrUzanBWThDrJwx9VDrtLojHS9+p2vatPTc3u9t2n25Gw9V3qfb98bu99J1YhmkIU7yCI4pkvgsmXLvO1YLHbBe5pycnK0YMECb11dXa2urq6kzmcJWbiDLNyRPTpDb1V9vc8b22dPzvatd511gzyCQRbuIIvgmC6BW7Zs8bYLCwv7PH7OnDm+9fbt2wOfySqycAdZXP5uykgPewR8hCzcQRbnM1sC29vbfTe2FxQU9Pk7OTk5vnVLS0vgc1lEFu4gi8tTR2fCt84enRHSJCALd5BF38yWwP379/vWY8aM6dfvnfl0pCRt27Yt0JmsIgt3kMXl6eurf+ptX3v1EH3pjs+HOI1tZOEOsuib2U8HNzQ0+Nbn3vSO1CELd5DF5eX1t/eqfO0rvofkPld6H89DCwFZuIMs+s9sCTzb2Z9u7Mv48eNVW1ubxGlsIwt3kIU7OjoTvqsa0vnPQvukR2UgWGThDrIYOEqgpIkTJ/b72GHDhnnbjY2NyRjHNLJwB1m4Y1NDyyd+M4J0+kT3N3d/kRNdCpCFO8hi4MzeExiERCLR90FICbJwB1kEb9Itoy748627WjVv2Y+VXbJCtTt+k6KpbCILd5DFwHElcABisVjYI+AjZOEOsgje7WNv1NF/fca3r6MzoR17fq8f/XKndzWko/OgvvwPP9S6x+ac94w0BIMs3EEWA8eVQOmS72XKysoKeBKQhTvIwm2jMyKaPTlbm56eq3WP+Z/VOG/Zj897PAaShyzcQRYXhxJ4kXj8hTvIwh1kEa7Zk7P1zNzpvn0vbt0R0jS2kYU7yKJvZkvgqFH+ewku5auuMjMzgxrHNLJwB1lcvubeM9635iuywkMW7iCLCzNbAkeOHOlb7969u1+/d/YnH8/9pgRcGrJwB1lcvngGmjvIwh1kcWFmS2A8Hvetz31Ibm+am5t9n3ycNGlS4HNZRBbuIAsAsMNsCZSk3Nxcb3vNmjV9Hl9VVeVtx2IxrngEiCzcQRaXp9ff3utb35SRHtIkIAt3kMWFmS6BZWVl3nZbW5vvZHau5uZmrVq1ylvPnz8/qbNZQxbuIAt3ZJes0Iqf1PXr2PK1r/jWhVNuTcZIZpGFO8giOKZLYFFRke+ZZqWlpb2e8NavX6+pU6d661gspuLi4pTMaAVZuIMs3NHReVBP/WCLsktWaG3tm70+3uL1t/dqStlq3/ekThuXxbckBIws3EEWwTH/sOh169Zp8uTJ3rq0tFRLlizxvjKrsbHRd79TJBJRTU2NotFoyme90pGFO8jCDaMz0tXReVAdnQf1ted/6u2L3XD6La1zvydVkr6YNUIvlD2Q8lmvdGThDrIIjukrgdLpG+Hr6uoUiUS8fYlEQrW1taqtrfWd6GKxmF577TXueUoSsnAHWbjhpccf1LRx/odvd3Qe1NZdrdq6q/W8E91XCyZq09MP8YnIJCALd5BFcMxfCZROn/D27NmjDRs2aOPGjb6rHJFIRNOnT9esWbNUVFQU8qRXPrJwB1mEL3t0hjY9PVdvdXTqJ//eol2t+867yjFtXJbGZY3QQ9PGa3RG5AKvhoEgC3eQRXAogR+JRqMqKSlRSUlJ2KOYRxbuIAs3ZI/OUPbojLDHgMjCJWQxcObfDgYAALCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwaHCyXritrU1NTU3Jenn0QyKRkCS1t7eTRci6u7slSR0dHWQRsmPHjkmS9r57SDtb94U8jW3HPzwpSXqHLEJ36lSPJOl3/99hsjAkraenpyfIF9yxY4dyc3ODfEkAAABTZs2apY0bNyb1bwR+JTAjI0OS9Oyzz2rq1KlBvzwuQiKR0L333qtvf/vbmjZtWtjjmNbd3a38/Hw99dRTys/PD3sc044dO6Zp06bpf8++U/kTbg57HNOOf3hSBU++oK/fH9e9t40JexzTTp7q0fQl39cjs/5C//ftY8Mex7xpj39fd955Z9L/TtLeDv6zP/sz3XHHHcl6efTDu+++K0m6+eabySJkZ96a/9znPkcWITt69KgkKfOGdN12y6iQp7Ht/eMnJEmjM8gibCdPnZIk3XR9hCwckJaiv8MHQwAAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgwaHPYBL6uvr9dJLL+nNN99UU1OTtz83N1fTp09XcXGxMjMzQ5zQDrJwB1m44fW392rLzj365a5W7Wzd5+0fnZGuu8dlqXDKrbp97I0hTmgHWbiDLAaGEiipq6tLixYtUnV1da8/b2pqUlNTkyoqKlRZWanFixeneEI7yMIdZOGGtzo69dQParV1V2uvP+/oPKjvv9Ko77/SqGnjsvRC2QNKH/qZFE9pA1m4gyyCYb4EdnV1KT8/33eFQ5Ly8vIkSa2trWpra/P2l5eX6/Dhw1q6dGlK57SALNxBFm7o6Eyo4MkXdOjoMW/ftVcPUe7nRkiSmvbs8/1s665WPfyP/6JNT89N+axXOrJwB1kEx3wJXL58ue9EV1lZqeLiYkWjUW9ffX295s2b5530KioqVFBQoHg8nvJ5r2Rk4Q6ycEPnwSPeyWzauCyVz/nL897a2lD3lh5d/TPvuK27WlW74zfKG39zyue9kpGFO8giOKY/GNLe3q6KigpvfeYtrbNPdJIUj8dVU1OjSCTi7Vu5cmXK5rSALNxBFu64eshVGp2Rrle/81Vtenpur/c2zZ6credK7/Pte2P3O6ka0QyycAdZBMd0CVy2bJm3HYvFLnhPU05OjhYsWOCtq6ur1dXVldT5LCELd5CFO7JHZ+itqq/3eWP77MnZvvWus26QRzDIwh1kERzTJXDLli3edmFhYZ/Hz5kzx7fevn174DNZRRbuIIvL300Z6WGPgI+QhTvI4nxmS2B7e7vvxvaCgoI+fycnJ8e3bmlpCXwui8jCHWRxeeroTPjW2aMzQpoEZOEOsuib2RK4f/9+33rMmDH9+r0zn46UpG3btgU6k1Vk4Q6yuDx9ffVPve1rrx6iL93x+RCnsY0s3EEWfTP76eCGhgbf+tyb3pE6ZOEOsri8vP72XpWvfcX3kNznSu/jeWghIAt3kEX/mS2BZzv70419GT9+vGpra5M4jW1k4Q6ycEdHZ8J3VUM6/1lon/SoDASLLNxBFgNHCZQ0ceLEfh87bNgwb7uxsTEZ45hGFu4gC3dsamj5xG9GkE6f6P7m7i9yoksBsnAHWQyc2XsCg5BIJPo+CClBFu4gi+BNumXUBX++dVer5i37sbJLVqh2x29SNJVNZOEOshg4rgQOQCwWC3sEfIQs3EEWwbt97I06+q/P+PZ1dCa0Y8/v9aNf7vSuhnR0HtSX/+GHWvfYnPOekYZgkIU7yGLguBIoXfK9TFlZWQFPArJwB1m4bXRGRLMnZ2vT03O17jH/sxrnLfvxeY/HQPKQhTvI4uJQAi8Sj79wB1m4gyzCNXtytp6ZO92378WtO0KaxjaycAdZ9M1sCRw1yn8vwaV81VVmZmZQ45hGFu4gi8vX3HvG+9Z8RVZ4yMIdZHFhZkvgyJEjfevdu3f36/fO/uTjud+UgEtDFu4gi8sXz0BzB1m4gywuzGwJjMfjvvW5D8ntTXNzs++Tj5MmTQp8LovIwh1kAQB2mC2BkpSbm+ttr1mzps/jq6qqvO1YLMYVjwCRhTvI4vL0+tt7feubMtJDmgRk4Q6yuDDTJbCsrMzbbmtr853MztXc3KxVq1Z56/nz5yd1NmvIwh1k4Y7skhVa8ZO6fh1bvvYV37pwyq3JGMkssnAHWQTHdAksKiryPdOstLS01xPe+vXrNXXqVG8di8VUXFyckhmtIAt3kIU7OjoP6qkfbFF2yQqtrX2z18dbvP72Xk0pW+37ntRp47L4loSAkYU7yCI45h8WvW7dOk2ePNlbl5aWasmSJd5XZjU2Nvrud4pEIqqpqVE0Gk35rFc6snAHWbhhdEa6OjoPqqPzoL72/E+9fbEbTr+lde73pErSF7NG6IWyB1I+65WOLNxBFsExfSVQOn0jfF1dnSKRiLcvkUiotrZWtbW1vhNdLBbTa6+9xj1PSUIW7iALN7z0+IOaNs7/8O2OzoPauqtVW3e1nnei+2rBRG16+iE+EZkEZOEOsgiO+SuB0ukT3p49e7RhwwZt3LjRd5UjEolo+vTpmjVrloqKikKe9MpHFu4gi/Blj87Qpqfn6q2OTv3k31u0q3XfeVc5po3L0risEXpo2niNzohc4NUwEGThDrIIDiXwI9FoVCUlJSopKQl7FPPIwh1k4Ybs0RnKHp0R9hgQWbiELAbO/NvBAAAAFlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAZRAgEAAAyiBAIAABhECQQAADCIEggAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMIgSCAAAYBAlEAAAwCBKIAAAgEGUQAAAAIMogQAAAAal9fT09AT5gvv27dPIkSM1btw4ZWRkBPnSuEgffPCBtm3bpj//8z/XDTfcEPY4pn344YfaunWrbr31Vo0YMSLscUw7ceKEXn31VX3+xus1InpN2OOYdrKnR7/c1aqxo67TyM8OC3sc03okvbpzj2750+s0ajhZhO3VnXv0+JIlqqioSOrfGRz0C44YMULDhw/X8OHDg35pXKSrrrpKw4cP12c/+9mwRzHv05/+NP+/cMTgwYM1fPhwXR/7vAZddVXY45g2SNLw4Yd1XeZYDRoyJOxxzBs+/JCuzxyjQZ/5TNijmPfZ4Yc0ZcqUpP+dwK8EAgAAwH3cEwgAAGAQJRAAAMAgSiAAAIBBlEAAAACDKIEAAAAGUQIBAAAMogQCAAAYRAkEAAAwiBIIAABgECUQAADAIEogAACAQZRAAAAAgyiBAAAABlECAQAADKIEAgAAGEQJBAAAMOj/BybXpE76M/SEAAAAAElFTkSuQmCC\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55240,"title":"Calculate the mean of each half of a matrix","description":"Given a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\r\nFor example\r\n\r\nA = [3 4 4 3;\r\n    1 2 5 3;\r\n    1 1 4 5];\r\nm = halfmeans(A)\r\n\r\nm =\r\n    2     4\r\n(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 559.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 279.767px; transform-origin: 407px 279.767px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39px 8px; transform-origin: 39px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 294.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 147.25px; text-align: left; transform-origin: 384px 147.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 400px;height: 289px\" src=\"data:image/png;base64,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\" alt=\"A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means.\" data-image-state=\"image-loaded\" width=\"400\" height=\"289\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eA = [3 4 4 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1 2 5 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1 1 4 5];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 64px 8.5px; tab-size: 4; transform-origin: 64px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em = halfmeans(A)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    2     4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 164px 8px; transform-origin: 164px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = halfmeans(A)\r\nm = A;\r\nend","test_suite":"    %%\r\n    A = [6 8 8 8 7 7 3 5;4 2 1 1 1 4 2 5;1 7 4 7 4 8 2 2;2 5 1 7 3 2 7 7];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4.5,4.3125])) \u003c 1e-14 )\r\n    %%\r\n    A = [3 7 1 1];\r\n    m = halfmeans(A);\r\n    assert( isequal(m,[5,1]) )\r\n    %%\r\n    A = [3 1;3 6;6 4;2 7;6 6];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4,4.8])) \u003c 1e-14 )\r\n    %%\r\n    A = [3 4 5 2 6 7 6 2 4 4;6 8 2 8 1 6 7 2 5 1;2 5 2 6 1 2 4 4 4 8;1 5 8 5 5 6 4 7 6 2;6 7 1 4 1 5 7 7 6 1;5 7 4 1 7 8 1 1 3 3];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4.266666666666667,4.433333333333334])) \u003c 1e-14 )","published":true,"deleted":false,"likes_count":6,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:11:33.000Z","deleted_by":null,"deleted_at":null,"solvers_count":682,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:46:56.000Z","updated_at":"2026-03-31T10:31:51.000Z","published_at":"2022-10-03T14:11:33.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"289\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"400\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[A = [3 4 4 3;\\n    1 2 5 3;\\n    1 1 4 5];\\nm = halfmeans(A)\\n\\nm =\\n    2     4]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55250,"title":"Find the minimum of the column-maximums of a matrix","description":"Given a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\r\n\r\nA = [5 3 4 3;1 2 6 3;1 1 4 4];\r\nm = minimax(A)\r\nm =\r\n    3\r\nNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 751.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 375.867px; transform-origin: 407px 375.867px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 383.5px 8px; transform-origin: 383.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 284.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 142.25px; text-align: left; transform-origin: 384px 142.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 337px;height: 279px\" src=\"data:image/png;base64,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\" alt=\"A 3-by-4 matrix. Beneath it is a 1-by-4 row vector with the maximum value of each column of the matrix independently. Beneath that is the single minimum value of the row vector.\" data-image-state=\"image-loaded\" width=\"337\" height=\"279\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 81.7333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 40.8667px; transform-origin: 404px 40.8667px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eA = [5 3 4 3;1 2 6 3;1 1 4 4];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em = minimax(A)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    3\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 371px 8px; transform-origin: 371px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 284.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 142.25px; text-align: left; transform-origin: 384px 142.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 583px;height: 279px\" src=\"data:image/png;base64,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\" alt=\"On the left, a 3-by-1 column vector; underneath is the scalar maximum value; under that is the minimum, which is the same value. On the right, a 1-by-4 row vector; underneath that is the same vector (representing the column maximums); under that is the minimum value.\" data-image-state=\"image-loaded\" width=\"583\" height=\"279\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = minimax(A)\r\nm = A;\r\nend","test_suite":"%% Check various size matrices\r\n    A = [0.57 -0.74 -0.46 -0.7 2.06;-3.44 3.36 -1.14 1.94 -3.91;0.62 2.31 2.76 4.45 -1.1;1.95 -1.4 2.34 2.84 0.91];\r\n    assert( isequal(minimax(A),1.95) )\r\n    %%\r\n    A = [-2.71 1.69;3.34 0;-4.84 -2.82;3.64 0.72;-4.22 -3.78];\r\n    assert( isequal(minimax(A),1.69) )\r\n    %%\r\n    A = [-4.44 1.17 0.17 4.17 0.86 4.39;-4.44 0.2 -3.57 4.87 2.63 0.9;-3.47 3.64 0.59 0.05 -4.17 -0.59;-4.8 -4.02 -4.95 -2.29 1.62 4.42;-0.65 4.08 2.67 -3.99 0.17 1.56;3.32 -3.92 3.49 0.08 -3.29 -0.48];\r\n    assert( isequal(minimax(A),2.63) )\r\n    %%\r\n    A = [0.54 -3.87 -1.4 -0.75 -1.06;1.8 -0.56 -3.6 -3.81 -4.97;-1.33 -2 -2.4 -0.05 -2.79;-2.61 -0.99 -4.13 2.06 -4.99;0.79 3.33 -0.71 -2.56 -3.11;3.67 -0.96 -2.43 2.85 -3.58;-0.93 -1.1 -2.02 -4.26 -2.32];\r\n    assert( isequal(minimax(A),-1.06) )\r\n    %%\r\n    A = [0.99 -2.79;4.01 -0.17;4.39 -1.24];\r\n    assert( isequal(minimax(A),-0.17) )\r\n    %%\r\n    A = [-4.32 -0.69 2.06;-0.64 4.62 1.45;-3.26 2.62 0.52;-4.74 -4.93 -2.82;4.55 1.8 2.72];\r\n    assert( isequal(minimax(A),2.72) )\r\n    %%\r\n    A = [3.91 -1.82 4.09 3.53;3.56 1.09 0.92 -0.58;-0.98 4.1 -1.67 4.04];\r\n    assert( isequal(minimax(A),3.91) )\r\n    %%\r\n    A = [2.16 -1.63 -1.78 0.49 0.53;-3.21 -3.12 -0.96 -4.51 -2.25];\r\n    assert( isequal(minimax(A),-1.63) )\r\n\r\n    %% Check row vector\r\n    A = [3.19 2.28 -3.24 -1.4 -3.11 -4.99 -1.84 2];\r\n    assert( isequal(minimax(A),-4.99) )\r\n    for k = 1:5\r\n        n = randi(7);\r\n        A = rand(1,n);\r\n        assert( isequal(minimax(A),min(A)) )\r\n    end\r\n\r\n    %% Check column vector\r\n    A = [0.43;-0.61;-2.13;0.02;2.62;2.62];\r\n    assert( isequal(minimax(A),2.62) )\r\n    for k = 1:5\r\n        n = randi(7);\r\n        A = rand(n,1);\r\n        assert( isequal(minimax(A),max(A)) )\r\n    end\r\n\r\n    %% Check scalar\r\n    for k = 1:5\r\n        A = randn;\r\n        assert( isequal(minimax(A),A) )\r\n    end","published":true,"deleted":false,"likes_count":8,"comments_count":3,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:28:07.000Z","deleted_by":null,"deleted_at":null,"solvers_count":631,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T15:15:22.000Z","updated_at":"2026-03-20T13:58:10.000Z","published_at":"2022-10-03T14:28:07.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"279\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"337\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A 3-by-4 matrix. Beneath it is a 1-by-4 row vector with the maximum value of each column of the matrix independently. Beneath that is the single minimum value of the row vector.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[A = [5 3 4 3;1 2 6 3;1 1 4 4];\\nm = minimax(A)\\nm =\\n    3]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"279\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"583\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"On the left, a 3-by-1 column vector; underneath is the scalar maximum value; under that is the minimum, which is the same value. On the right, a 1-by-4 row vector; underneath that is the same vector (representing the column maximums); under that is the minimum value.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image2.png\",\"relationshipId\":\"rId2\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null},{\"partUri\":\"/media/image2.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55230,"title":"Find Closest Constant","description":"Given a number x, return the value that is closest to x from this list of constants: 0, 1, , e, ,  (also known as ).\r\nFor example:\r\nc = closestconst(1.5)\r\nc =\r\n    1.4142\r\nc = closestconst(2.5)\r\nc =\r\n    2.7183\r\nc = closestconst(50)\r\nc =\r\n    6.2832\r\nc = closestconst(-10)\r\nc =\r\n     0     \r\nIf x is equally close to two values (eg ), you can return either value (so either 1 or  would be correct in this example).","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 374.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 187.1px; transform-origin: 407px 187.1px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 267.5px 8px; transform-origin: 267.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a number x, return the value that is closest to x from this list of constants: 0, 1, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 23px; height: 20px;\" width=\"23\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ee\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eπ\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 19.5px; height: 18px;\" width=\"19.5\" height=\"18\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 51px 8px; transform-origin: 51px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (also known as \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eτ\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 245.2px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 122.6px; transform-origin: 404px 122.6px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(1.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1.4142\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(2.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    2.7183\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 80px 8.5px; tab-size: 4; transform-origin: 80px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(50)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    6.2832\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(-10)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     0     \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 58px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 29px; text-align: left; transform-origin: 384px 29px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 116px 8px; transform-origin: 116px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf x is equally close to two values (eg \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 73.5px; height: 37px;\" width=\"73.5\" height=\"37\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 140px 8px; transform-origin: 140px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e), you can return either value (so either 1 or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 23px; height: 20px;\" width=\"23\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e would be correct in this example).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function cc = closestconst(x)\r\ncc = x;\r\nend","test_suite":"%%\r\nassert( closestconst(-rand) == 0 )\r\n%%\r\nc = closestconst(8 + rand);\r\nassert( abs(c - 2*pi) \u003c 1e-14 )\r\n%%\r\nc = closestconst(2.5);\r\nassert( abs(c - exp(1)) \u003c 1e-14 )\r\n%%\r\nc = closestconst(0.5);\r\nassert( (c == 0) || (c == 1) )\r\n%%\r\nc = closestconst(2.75);\r\nassert( abs(c - exp(1)) \u003c 1e-14 )\r\n%\r\nc = closestconst(3.6997);\r\nassert( abs(c - pi) \u003c 1e-14 )\r\n%%\r\nc = closestconst(1.1597);\r\nassert( c == 1 )\r\n%%\r\nc = closestconst(0.4597);\r\nassert( c == 0 )\r\n%%\r\nc = closestconst(1.8408);\r\nassert( abs(c - sqrt(2)) \u003c 1e-14 )","published":true,"deleted":false,"likes_count":9,"comments_count":1,"created_by":140016,"edited_by":223089,"edited_at":"2023-02-03T17:56:11.000Z","deleted_by":null,"deleted_at":null,"solvers_count":664,"test_suite_updated_at":"2023-02-03T17:56:11.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:36:50.000Z","updated_at":"2026-03-31T09:20:02.000Z","published_at":"2022-10-03T14:09:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a number x, return the value that is closest to x from this list of constants: 0, 1, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\sqrt{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ee\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\pi\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e2\\\\pi\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e (also known as \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\tau\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[c = closestconst(1.5)\\nc =\\n    1.4142\\nc = closestconst(2.5)\\nc =\\n    2.7183\\nc = closestconst(50)\\nc =\\n    6.2832\\nc = closestconst(-10)\\nc =\\n     0     ]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf x is equally close to two values (eg \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ex = \\\\frac{1+\\\\sqrt{2}}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e), you can return either value (so either 1 or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\sqrt{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e would be correct in this example).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55245,"title":"Calculating Student Grades","description":"The matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \r\n\r\nThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \r\nr = [0.2 0.45 0.35]\r\nwhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \r\nWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 564.933px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 282.467px; transform-origin: 407px 282.467px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 299.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 149.75px; text-align: left; transform-origin: 384px 149.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 850px;height: 294px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"850\" height=\"294\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 354px 8px; transform-origin: 354px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 76px 8.5px; tab-size: 4; transform-origin: 76px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003er = [0.2 0.45 0.35]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 353.5px 8px; transform-origin: 353.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ewhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 311.5px 8px; transform-origin: 311.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function finalgrade = calculateGrade(r)\r\ngrades = [87 91\t81\t85\t72\t75\t70\t84\t63\t39\t64\t97\t74\t81\t73;\r\n85\t76\t77\t94\t67\t79\t93\t0\t0\t52\t59\t64\t79\t0\t82;\r\n74\t86\t85\t85\t86\t73\t70\t72\t92\t93\t57\t48\t48\t73\t76;\r\n87\t88\t77\t96\t86\t83\t82\t84\t98\t72\t64\t61\t61\t38\t80;\r\n72\t71\t84\t60\t83\t0\t74\t0\t79\t79\t56\t84\t43\t95\t68;\r\n86\t82\t79\t76\t84\t75\t85\t62\t90\t55\t90\t86\t63\t89\t69;\r\n83\t96\t80\t82\t71\t86\t80\t96\t0\t67\t55\t72\t84\t61\t71];\r\n\r\nfinalgrade = 0;\r\n\r\nend","test_suite":"%%  \r\ny = [80.1429;81.5714;79.8571;85.5714;63.4286;81.0000;82.5714];\r\nind = abs(calculateGrade([1 0 0])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%  \r\ny = [71.0714;49.4524;82.7619;85.1190;58.0476;75.0000;68.4524];    \r\nind = abs(calculateGrade([0.5 0.5 0])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%  \r\ny = [71.1586;43.9943;75.6614;76.4943;60.6057;75.0400;64.9743];    \r\nind = abs(calculateGrade([0.2 0.45 0.35])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%\r\ny = [70.8371;46.9752;80.8162;82.6419;58.6248;74.8400;67.0552];\r\nind = abs(calculateGrade([0.4 0.5 0.1])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n%%\r\ny = [73.5286;49.9143;71.8714;72.9143;63.0857;76.6;67.1143];\r\nind = abs(calculateGrade([0.2 0.3 0.5])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n%%\r\ny = [77.8;56.8;60.4;60.8;69.2;79.4;68.6];\r\nind = abs(calculateGrade([0 0 1])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n","published":true,"deleted":false,"likes_count":9,"comments_count":3,"created_by":140016,"edited_by":223089,"edited_at":"2023-02-05T06:21:36.000Z","deleted_by":null,"deleted_at":null,"solvers_count":447,"test_suite_updated_at":"2023-02-05T06:21:36.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T15:00:22.000Z","updated_at":"2026-03-20T13:56:37.000Z","published_at":"2022-10-03T14:10:54.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"294\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"850\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[r = [0.2 0.45 0.35]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ewhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":2064,"title":"Generate this matrix","description":"Generate the following matrix.\r\n\r\n  n = 2;\r\n  out = [-4    -3    -2    -1     0\r\n         -3    -2    -1     0     1\r\n         -2    -1     0     1     2\r\n         -1     0     1     2     3\r\n          0     1     2     3     4];\r\n  \r\n  n = 5;\r\n  out = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n          -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n          -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n          -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n          -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n          -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n          -4    -3    -2    -1     0     1     2     3     4     5     6\r\n          -3    -2    -1     0     1     2     3     4     5     6     7\r\n          -2    -1     0     1     2     3     4     5     6     7     8\r\n          -1     0     1     2     3     4     5     6     7     8     9\r\n           0     1     2     3     4     5     6     7     8     9    10];","description_html":"\u003cp\u003eGenerate the following matrix.\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003en = 2;\r\nout = [-4    -3    -2    -1     0\r\n       -3    -2    -1     0     1\r\n       -2    -1     0     1     2\r\n       -1     0     1     2     3\r\n        0     1     2     3     4];\r\n\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003en = 5;\r\nout = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n        -4    -3    -2    -1     0     1     2     3     4     5     6\r\n        -3    -2    -1     0     1     2     3     4     5     6     7\r\n        -2    -1     0     1     2     3     4     5     6     7     8\r\n        -1     0     1     2     3     4     5     6     7     8     9\r\n         0     1     2     3     4     5     6     7     8     9    10];\r\n\u003c/pre\u003e","function_template":"function y = mystery_matrix(n)\r\n  y = 0;\r\nend","test_suite":"%%\r\nn = 2;\r\ny_correct = [-4    -3    -2    -1     0\r\n             -3    -2    -1     0     1\r\n             -2    -1     0     1     2\r\n             -1     0     1     2     3\r\n              0     1     2     3     4];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n\r\n%%\r\nn = 3;\r\ny_correct = [-6    -5    -4    -3    -2    -1     0\r\n             -5    -4    -3    -2    -1     0     1\r\n             -4    -3    -2    -1     0     1     2\r\n             -3    -2    -1     0     1     2     3\r\n             -2    -1     0     1     2     3     4\r\n             -1     0     1     2     3     4     5\r\n              0     1     2     3     4     5     6];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n\r\n%%\r\nn = 5;\r\ny_correct = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n        -4    -3    -2    -1     0     1     2     3     4     5     6\r\n        -3    -2    -1     0     1     2     3     4     5     6     7\r\n        -2    -1     0     1     2     3     4     5     6     7     8\r\n        -1     0     1     2     3     4     5     6     7     8     9\r\n         0     1     2     3     4     5     6     7     8     9    10];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n","published":true,"deleted":false,"likes_count":13,"comments_count":1,"created_by":17852,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":813,"test_suite_updated_at":"2017-07-20T19:16:01.000Z","rescore_all_solutions":true,"group_id":31,"created_at":"2013-12-19T11:08:36.000Z","updated_at":"2026-03-20T13:57:32.000Z","published_at":"2013-12-19T11:09:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGenerate the following matrix.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[n = 2;\\nout = [-4    -3    -2    -1     0\\n       -3    -2    -1     0     1\\n       -2    -1     0     1     2\\n       -1     0     1     2     3\\n        0     1     2     3     4];\\n\\nn = 5;\\nout = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\\n        -4    -3    -2    -1     0     1     2     3     4     5     6\\n        -3    -2    -1     0     1     2     3     4     5     6     7\\n        -2    -1     0     1     2     3     4     5     6     7     8\\n        -1     0     1     2     3     4     5     6     7     8     9\\n         0     1     2     3     4     5     6     7     8     9    10];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":54485,"title":"Dog Statistics","description":"The vectors ht and wt contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by NaN (Not a Number). \r\nWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. ","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 115px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 57.5px; transform-origin: 407px 57.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39.5px 8px; transform-origin: 39.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe vectors \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 8px 8px; transform-origin: 8px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003eht\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 8px 8px; transform-origin: 8px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003ewt\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 299px 8px; transform-origin: 299px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003eNaN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 54px 8px; transform-origin: 54px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (Not a Number). \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 370px 8px; transform-origin: 370px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [y,p] = retrieveWeight(x1,x2)\r\n\r\nht = [24.8, 23.8, NaN, 20.5, 19.7, ...\r\n    25.2, 15.0, 23.4, 18.7, NaN,...\r\n    NaN, 25.8, 19.8, 18.3, 18.2,...\r\n    24.6, 17.4, 18.7, 24.0, 22.6];\r\n\r\nwt = [62.6, 69.2, 64.7, 61.2, 60.4,...\r\n    68.0, 71.6, NaN, 62.0, 73.0,...\r\n    62.4, 71.8, 74.6, 59.7, 73.2,...\r\n    67.0, 70.8, 59.2, 70.4, 63.8];\r\n\r\ny = x1;\r\np = x2;\r\n\r\nend","test_suite":"%%\r\n[y,n] = retrieveWeight(20,23);\r\nassert(isequal(y,62.5) \u0026 isequal(n,10))\r\n%%\r\n[y,n] = retrieveWeight(23,26)\r\nassert(abs(y-68.1667)\u003c1e-4 \u0026 isequal(n,35))\r\n%%\r\n[y,n] = retrieveWeight(19,26);\r\nassert(abs(y-66.9)\u003c1e-4 \u0026 abs(n-55)\u003c1e-4)\r\n%%\r\n[y,n] = retrieveWeight(17,23);\r\nassert(abs(y-64.9889)\u003c1e-4 \u0026 abs(n-45)\u003c1e-4)","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":571375,"edited_by":223089,"edited_at":"2022-10-04T18:03:45.000Z","deleted_by":null,"deleted_at":null,"solvers_count":405,"test_suite_updated_at":"2022-10-04T18:03:45.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-05-03T20:06:40.000Z","updated_at":"2026-03-31T14:48:30.000Z","published_at":"2022-10-03T14:27:27.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe vectors \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eht\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ewt\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNaN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (Not a Number). \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55225,"title":"Simpson's Paradox - Calculate correlation coefficients for groups of data","description":"Simpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\r\n\r\nWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\r\n[c,c1,c2] = groupcorr(x,y,g)\r\nc =\r\n    0.8800\r\nc1 =\r\n   -0.6800\r\nc2 =\r\n   -0.4396\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 701.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 350.767px; transform-origin: 407px 350.767px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 376.5px 8px; transform-origin: 376.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSimpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 352.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 176.25px; text-align: left; transform-origin: 384px 176.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 463px;height: 347px\" src=\"data:image/png;base64,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\" alt=\"A scatter plot of blue and orange points. The blue points are near the origin and appear negatively correlated. The orange points are further from the origin and also negatively correlated. Best fit lines go through each group separately. Correlation coefficients of r = -0.68 and r = -0.44, respectively, are shown. A black best fit line is shown for all the data. It has positive slope. The correlation coefficient is r = 0.88\" data-image-state=\"image-loaded\" width=\"463\" height=\"347\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 84px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42px; text-align: left; transform-origin: 384px 42px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 112px 8.5px; tab-size: 4; transform-origin: 112px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e[c,c1,c2] = groupcorr(x,y,g)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.8800\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec1 =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   -0.6800\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec2 =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   -0.4396\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [call,c1,c2] = groupcorr(x,y,g)\r\ncall =   % correlation coefficient for all x \u0026 y\r\nc1 =     % correlation coefficient for x \u0026 y for which g = 1\r\nc2 =     % correlation coefficient for x \u0026 y for which g = 2\r\nend","test_suite":"    %%\r\n    x = [0.93;0.32;0.18;0.2;0.57;0.6;0.96;0.65;0.75;0.65;0.75;0.96;0.01;0.11;0.3;0.66;0.81;0.87;0.96;0.72;2.64;2.72;2.47;2.33;2.44;2.73;2.99;2.68;2.79;2.17;2.03;2.8;2.9;2.02;2.49;2.53;2.6;2.05;2.9;2.73];\r\n    y = [0.71;0.84;1.21;0.59;0.52;0.49;0.48;0.64;0.82;0.26;0.63;0.14;1.18;1.2;0.87;0.42;0.58;0.48;0.78;0.72;2.62;2.52;2.84;2.41;2.64;2.82;2.96;2.73;3.27;3.09;3.25;2.6;2.39;3.12;2.76;2.39;2.43;3.26;2.55;3.06];\r\n    g = [1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.879811557106905) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.682850785069857) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.443669568699530) \u003c 1e-10 )\r\n    %%\r\n    x = [0.19;0.62;0.44;0.79;0.78;0.27;0.28;0.8;0.96;0.88;2.36;2.5;2.68;2.71;2.37;2.56;2.5;2.01;2.77;2.88;2.36;2.62;2.08;2.37;2.93;2.65;2.4;2.79;2.32;2.57];\r\n    y = [1.21;0.59;0.86;0.32;0.76;1;0.69;1.07;0.47;0.68;1.27;1.7;1.31;2.12;2.21;1.99;1.74;2.29;1.69;1.81;1.93;2.05;2.24;2.37;1.88;2.25;2.24;2.22;1.87;2.05];\r\n    g = [1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.813840950727923) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.582326584401800) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.269801548840031) \u003c 1e-10 )\r\n    %%\r\n    x = [0.7;0.29;0.23;0.55;0.72;0.42;0.98;0.68;0.48;0.39;2.34;2.73;2.44;2.06;2.4;2.74;2.18;2.18;2.53;2.53];\r\n    y = [0.04;0.84;0.88;0.24;0.08;0.2;-0.56;-0.17;-0.06;0.55;0.81;0.64;1.06;1.66;1.13;0.41;1.4;1.86;1.3;0.95];\r\n    g = [1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.578088106597685) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.909415164856844) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.852572691472539) \u003c 1e-10 )\r\n    %%\r\n    x = [0.7;0.29;0.23;0.55;0.72;0.42;0.98;0.68;0.48;0.39;2.34;2.73;2.44;2.06;2.4;2.74;2.18;2.18;2.53;2.53;2.63;2.85;2.72;2.61;2.72];\r\n    y = [-3.02;-2.47;-2.52;-3.24;-2.45;-3.28;-3.01;-2.75;-2.49;-2.44;-1.8;-1.88;-0.69;-0.37;-1.4;-1.53;-1.64;-1.46;-1.69;-0.58;-1.83;-1.88;-1.21;-1.58;-1.49];\r\n    g = [2;2;2;2;2;2;2;2;2;2;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.779096741082947) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.422371512501801) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.353473466432753) \u003c 1e-10 )","published":true,"deleted":false,"likes_count":7,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:22:57.000Z","deleted_by":null,"deleted_at":null,"solvers_count":432,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:27:02.000Z","updated_at":"2026-03-31T14:44:49.000Z","published_at":"2022-10-03T14:22:57.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSimpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"347\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"463\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A scatter plot of blue and orange points. The blue points are near the origin and appear negatively correlated. The orange points are further from the origin and also negatively correlated. Best fit lines go through each group separately. Correlation coefficients of r = -0.68 and r = -0.44, respectively, are shown. A black best fit line is shown for all the data. It has positive slope. The correlation coefficient is r = 0.88\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[[c,c1,c2] = groupcorr(x,y,g)\\nc =\\n    0.8800\\nc1 =\\n   -0.6800\\nc2 =\\n   -0.4396]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55235,"title":"Determine if x is a combination of m and n","description":"Given positive integers x, m, and n, determine if x can be written as x = am + bn for any (non-negative) integers a and b. Your function should return logical true or false.\r\nFor example\r\niscombo(17,3,5) should return true because 17 = 4*3 + 1*5\r\niscombo(18,3,5) should return true because 18 = 6*3 + 0*5\r\niscombo(7,3,5) should return false because 7 cannot be written as a combination of 3 \u0026 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\r\nHint: You can start by calculating all possible values of combining m and n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 207.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 103.867px; transform-origin: 407px 103.867px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 74px 8px; transform-origin: 74px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven positive integers \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 43px 8px; transform-origin: 43px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, determine if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 57.5px 8px; transform-origin: 57.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e can be written as \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 44px 8px; transform-origin: 44px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003ex = am + bn\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 102px 8px; transform-origin: 102px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e for any (non-negative) integers \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 113.5px 8px; transform-origin: 113.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Your function should return logical \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.5px 8px; transform-origin: 10.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 20px 8px; transform-origin: 20px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003efalse\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39px 8px; transform-origin: 39px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 83.2333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 41.6167px; transform-origin: 391px 41.6167px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 60px 8px; transform-origin: 60px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003eiscombo(17,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46px 8px; transform-origin: 46px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e because 17 = 4*3 + 1*5\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 60px 8px; transform-origin: 60px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003eiscombo(18,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46px 8px; transform-origin: 46px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e because 18 = 6*3 + 0*5\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 41.3667px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20.6833px; text-align: left; transform-origin: 363px 20.6833px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 56px 8px; transform-origin: 56px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003eiscombo(7,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 300px 8px; transform-origin: 300px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return false because 7 cannot be written as a combination of 3 \u0026amp; 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 206px 8px; transform-origin: 206px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eHint: You can start by calculating all possible values of combining \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function combo = iscombo(x,m,n)\r\ncombo = false;\r\nend","test_suite":"%% Check various inputs\r\nassert(~iscombo(6,18,5))\r\n%%\r\nassert(~iscombo(10,7,19))\r\n%%\r\nassert(iscombo(10,5,19))\r\n%%\r\nassert(iscombo(20,10,4))\r\n%%\r\nassert(~iscombo(6,4,7))\r\n%%\r\nassert(iscombo(11,6,11))\r\n%%\r\nassert(~iscombo(27,6,11))\r\n%%\r\nassert(~iscombo(7,2,12))\r\n%%\r\nassert(~iscombo(19,10,14))\r\n%%\r\nassert(~iscombo(25,10,4))\r\n%%\r\nassert(~iscombo(22,9,8))\r\n%%\r\nassert(iscombo(25,13,12))\r\n%%\r\nassert(~iscombo(30,11,13))\r\n%%\r\nassert(~iscombo(15,8,13))\r\n%%\r\nassert(iscombo(13,13,13))\r\n%%\r\nassert(iscombo(10,8,2))\r\n%%\r\nassert(~iscombo(26,11,7))\r\n%%\r\nassert(~iscombo(25,15,12))\r\n%%\r\nassert(iscombo(24,7,3))\r\n\r\n%% Check some non-combos\r\nfor k = 1:20\r\n    m = randi([2 15]);\r\n    n = randi([2 15]);\r\n    x = m*n - m - n;\r\n    assert(iscombo(x,m,n) == (gcd(m,n) ~= 1))\r\nend\r\n\r\n%% Check some obvious combos\r\nfor k = 1:20\r\n    m = randi([2 15]);\r\n    n = randi([2 15]);\r\n    a = randi([2 15]);\r\n    b = randi([2 15]);\r\n    assert(iscombo(a*m+b*n,m,n))\r\nend","published":true,"deleted":false,"likes_count":11,"comments_count":6,"created_by":140016,"edited_by":223089,"edited_at":"2022-10-04T06:01:05.000Z","deleted_by":null,"deleted_at":null,"solvers_count":433,"test_suite_updated_at":"2022-10-04T06:01:05.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:45:29.000Z","updated_at":"2026-03-20T13:57:00.000Z","published_at":"2022-10-03T14:10:23.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven positive integers \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, determine if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be written as \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex = am + bn\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e for any (non-negative) integers \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Your function should return logical \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003efalse\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(17,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e because 17 = 4*3 + 1*5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(18,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e because 18 = 6*3 + 0*5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(7,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return false because 7 cannot be written as a combination of 3 \u0026amp; 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHint: You can start by calculating all possible values of combining \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"}],"problem_search":{"errors":[],"problems":[{"id":54440,"title":"Create an arrow matrix","description":"An arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \r\n                                        \r\n                                        \r\n\r\nWrite a function that takes the number of rows and columns (for N \u003e= 3) as an input, and returns the corresponding arrow matrix.","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 305px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 152.5px; transform-origin: 407px 152.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eAn arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                        \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 164px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 82px; text-align: left; transform-origin: 384px 82px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e                                        \u003c/span\u003e\u003c/span\u003e\u003cimg class=\"imageNode\" width=\"199\" height=\"158\" style=\"vertical-align: baseline;width: 199px;height: 158px\" src=\"data:image/svg+xml;base64,<svg width="1989" height="1581" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><rect x="946" y="330" width="1989" height="1581"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-946 -330)"><path d="M948.349 333.204 1344.63 333.204 1344.63 637.55 948.349 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 333.204 1740.92 333.204 1740.92 637.55 1344.63 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 333.204 2137.2 333.204 2137.2 637.55 1740.92 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 333.204 2533.49 333.204 2533.49 637.55 2137.2 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 333.204 2929.77 333.204 2929.77 637.55 2533.49 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 637.55 1344.63 637.55 1344.63 954.74 948.349 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 637.55 1740.92 637.55 1740.92 954.74 1344.63 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 637.55 2137.2 637.55 2137.2 954.74 1740.92 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 637.55 2533.49 637.55 2533.49 954.74 2137.2 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 637.55 2929.77 637.55 2929.77 954.74 2533.49 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 954.74 1344.63 954.74 1344.63 1271.93 948.349 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 954.74 1740.92 954.74 1740.92 1271.93 1344.63 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 954.74 2137.2 954.74 2137.2 1271.93 1740.92 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 954.74 2533.49 954.74 2533.49 1271.93 2137.2 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 954.74 2929.77 954.74 2929.77 1271.93 2533.49 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1271.93 1344.63 1271.93 1344.63 1589.12 948.349 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 1271.93 1740.92 1271.93 1740.92 1589.12 1344.63 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 1271.93 2137.2 1271.93 2137.2 1589.12 1740.92 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 1271.93 2533.49 1271.93 2533.49 1589.12 2137.2 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1271.93 2929.77 1271.93 2929.77 1589.12 2533.49 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1589.12 1344.63 1589.12 1344.63 1906.31 948.349 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 1589.12 1740.92 1589.12 1740.92 1906.31 1344.63 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 1589.12 2137.2 1589.12 2137.2 1906.31 1740.92 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 1589.12 2533.49 1589.12 2533.49 1906.31 2137.2 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1589.12 2929.77 1589.12 2929.77 1906.31 2533.49 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 330.912 1344.63 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M1740.92 330.912 1740.92 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2137.2 330.912 2137.2 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2533.49 330.912 2533.49 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 637.55 2932.06 637.55" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 954.74 2932.06 954.74" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1271.93 2932.06 1271.93" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1589.12 2932.06 1589.12" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M948.349 330.912 948.349 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2929.77 330.912 2929.77 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 333.204 2932.06 333.204" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1906.31 2932.06 1906.31" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><text font-family="Calibri,Calibri_MSFontService,sans-serif" font-weight="400" font-size="128" transform="matrix(1 0 0 1 1113.84 528)">1<tspan font-size="128" x="396.285" y="0">0</tspan><tspan font-size="128" x="792.57" y="0">0</tspan><tspan font-size="128" x="1188.85" y="0">0</tspan><tspan font-size="128" x="1585.14" y="0">1</tspan><tspan font-size="128" x="0" y="311">0</tspan><tspan font-size="128" x="396.285" y="311">1</tspan><tspan font-size="128" x="792.57" y="311">0</tspan><tspan font-size="128" x="1188.85" y="311">0</tspan><tspan font-size="128" x="1585.14" y="311">1</tspan><tspan font-size="128" x="0" y="628">0</tspan><tspan font-size="128" x="396.285" y="628">0</tspan><tspan font-size="128" x="792.57" y="628">1</tspan><tspan font-size="128" x="1188.85" y="628">0</tspan><tspan font-size="128" x="1585.14" y="628">1</tspan><tspan font-size="128" x="0" y="946">0</tspan><tspan font-size="128" x="396.285" y="946">0</tspan><tspan font-size="128" x="792.57" y="946">0</tspan><tspan font-size="128" x="1188.85" y="946">1</tspan><tspan font-size="128" x="1585.14" y="946">1</tspan><tspan font-size="128" x="0" y="1263">1</tspan><tspan font-size="128" x="396.285" y="1263">1</tspan><tspan font-size="128" x="792.57" y="1263">1</tspan><tspan font-size="128" x="1188.85" y="1263">1</tspan><tspan font-size="128" x="1585.14" y="1263">1</tspan></text></g></svg>\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes the number of rows and columns (for \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e \u0026gt;= 3) as an input, and returns the corresponding arrow matrix.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function y = arrow(x)\r\n  y = x;\r\nend","test_suite":"%%\r\nx = 3;\r\ny_correct = [1 0 1; 0 1 1; 1 1 1];\r\nassert(isequal(arrow(x),y_correct))\r\n\r\n%%\r\nx = 6;\r\ny_correct = [1 0 0 0 0 1; 0 1 0 0 0 1; 0 0 1 0 0 1; 0 0 0 1 0 1; 0 0 0 0 1 1; 1 1 1 1 1 1];\r\nassert(isequal(arrow(x),y_correct))","published":true,"deleted":false,"likes_count":11,"comments_count":1,"created_by":571375,"edited_by":571375,"edited_at":"2022-10-03T14:11:46.000Z","deleted_by":null,"deleted_at":null,"solvers_count":560,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-05-03T17:40:18.000Z","updated_at":"2026-03-20T13:55:48.000Z","published_at":"2022-10-03T14:11:46.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn arrow matrix is a square matrix that contains ones on the diagonal, the last column, and last row. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                        \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e                                        \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"158\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"199\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes the number of rows and columns (for \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e \u0026gt;= 3) as an input, and returns the corresponding arrow matrix.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.svg+xml\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.svg+xml\",\"contentType\":\"image/svg+xml\",\"content\":\"data:image/svg+xml;base64,<svg width="1989" height="1581" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" overflow="hidden"><defs><clipPath id="clip0"><rect x="946" y="330" width="1989" height="1581"/></clipPath></defs><g clip-path="url(#clip0)" transform="translate(-946 -330)"><path d="M948.349 333.204 1344.63 333.204 1344.63 637.55 948.349 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 333.204 1740.92 333.204 1740.92 637.55 1344.63 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 333.204 2137.2 333.204 2137.2 637.55 1740.92 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 333.204 2533.49 333.204 2533.49 637.55 2137.2 637.55Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 333.204 2929.77 333.204 2929.77 637.55 2533.49 637.55Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 637.55 1344.63 637.55 1344.63 954.74 948.349 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 637.55 1740.92 637.55 1740.92 954.74 1344.63 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 637.55 2137.2 637.55 2137.2 954.74 1740.92 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 637.55 2533.49 637.55 2533.49 954.74 2137.2 954.74Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 637.55 2929.77 637.55 2929.77 954.74 2533.49 954.74Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 954.74 1344.63 954.74 1344.63 1271.93 948.349 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 954.74 1740.92 954.74 1740.92 1271.93 1344.63 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 954.74 2137.2 954.74 2137.2 1271.93 1740.92 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 954.74 2533.49 954.74 2533.49 1271.93 2137.2 1271.93Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2533.49 954.74 2929.77 954.74 2929.77 1271.93 2533.49 1271.93Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1271.93 1344.63 1271.93 1344.63 1589.12 948.349 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1344.63 1271.93 1740.92 1271.93 1740.92 1589.12 1344.63 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M1740.92 1271.93 2137.2 1271.93 2137.2 1589.12 1740.92 1589.12Z" fill="#F8CBAD" fill-rule="evenodd"/><path d="M2137.2 1271.93 2533.49 1271.93 2533.49 1589.12 2137.2 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1271.93 2929.77 1271.93 2929.77 1589.12 2533.49 1589.12Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M948.349 1589.12 1344.63 1589.12 1344.63 1906.31 948.349 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 1589.12 1740.92 1589.12 1740.92 1906.31 1344.63 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1740.92 1589.12 2137.2 1589.12 2137.2 1906.31 1740.92 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2137.2 1589.12 2533.49 1589.12 2533.49 1906.31 2137.2 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M2533.49 1589.12 2929.77 1589.12 2929.77 1906.31 2533.49 1906.31Z" fill="#BDD7EE" fill-rule="evenodd"/><path d="M1344.63 330.912 1344.63 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M1740.92 330.912 1740.92 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2137.2 330.912 2137.2 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2533.49 330.912 2533.49 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 637.55 2932.06 637.55" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 954.74 2932.06 954.74" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1271.93 2932.06 1271.93" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1589.12 2932.06 1589.12" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M948.349 330.912 948.349 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M2929.77 330.912 2929.77 1908.6" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 333.204 2932.06 333.204" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><path d="M946.058 1906.31 2932.06 1906.31" stroke="#000000" stroke-width="4.58333" stroke-linejoin="round" stroke-miterlimit="10" fill="none" fill-rule="evenodd"/><text font-family="Calibri,Calibri_MSFontService,sans-serif" font-weight="400" font-size="128" transform="matrix(1 0 0 1 1113.84 528)">1<tspan font-size="128" x="396.285" y="0">0</tspan><tspan font-size="128" x="792.57" y="0">0</tspan><tspan font-size="128" x="1188.85" y="0">0</tspan><tspan font-size="128" x="1585.14" y="0">1</tspan><tspan font-size="128" x="0" y="311">0</tspan><tspan font-size="128" x="396.285" y="311">1</tspan><tspan font-size="128" x="792.57" y="311">0</tspan><tspan font-size="128" x="1188.85" y="311">0</tspan><tspan font-size="128" x="1585.14" y="311">1</tspan><tspan font-size="128" x="0" y="628">0</tspan><tspan font-size="128" x="396.285" y="628">0</tspan><tspan font-size="128" x="792.57" y="628">1</tspan><tspan font-size="128" x="1188.85" y="628">0</tspan><tspan font-size="128" x="1585.14" y="628">1</tspan><tspan font-size="128" x="0" y="946">0</tspan><tspan font-size="128" x="396.285" y="946">0</tspan><tspan font-size="128" x="792.57" y="946">0</tspan><tspan font-size="128" x="1188.85" y="946">1</tspan><tspan font-size="128" x="1585.14" y="946">1</tspan><tspan font-size="128" x="0" y="1263">1</tspan><tspan font-size="128" x="396.285" y="1263">1</tspan><tspan font-size="128" x="792.57" y="1263">1</tspan><tspan font-size="128" x="1188.85" y="1263">1</tspan><tspan font-size="128" x="1585.14" y="1263">1</tspan></text></g></svg>\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55220,"title":"Matrix Quadrants","description":"Write a function that takes N as the input, and outputs a matrix whose upper-left (NxN) quadrant contains all ones, the lower-right (NxN) quadrant contains all N's, and zeros everywhere else. For example, if N = 3: \r\n\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 363px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 181.5px; transform-origin: 407px 181.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e as the input, and outputs a matrix whose upper-left (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eNxN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) quadrant contains all ones, the lower-right (\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eNxN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e) quadrant contains all \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e's, and zeros everywhere else. For example, if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; \"\u003eN = 3\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e: \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 282px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 141px; text-align: left; transform-origin: 384px 141px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"321\" height=\"276\" style=\"vertical-align: baseline;width: 321px;height: 276px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: center; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function M = foursquare(N)\r\n  M = N;\r\nend","test_suite":"%%\r\ny = [1 1 0 0; 1 1 0 0; 0 0 2 2; 0 0 2 2];\r\nassert(isequal(foursquare(2),y))\r\n%%\r\ny = [1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 1 1 1 1 1 0 0 0 0 0; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5; 0 0 0 0 0 5 5 5 5 5];\r\nassert(isequal(foursquare(5),y))\r\n%%\r\nfor k = 1:5\r\n    n = randi([3 20]);\r\n    y = foursquare(n);\r\n    assert( isequal(size(y),2*n*[1 1]) )\r\n    assert( isequal(y,y') )\r\n    assert( isequal(sum(y,1),[n*ones(1,n) n*n*ones(1,n)]) )\r\nend","published":true,"deleted":false,"likes_count":16,"comments_count":5,"created_by":140016,"edited_by":140016,"edited_at":"2022-10-03T14:08:22.000Z","deleted_by":null,"deleted_at":null,"solvers_count":872,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:24:20.000Z","updated_at":"2026-03-31T09:28:38.000Z","published_at":"2022-10-03T14:08:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e as the input, and outputs a matrix whose upper-left (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNxN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) quadrant contains all ones, the lower-right (\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNxN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e) quadrant contains all \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e's, and zeros everywhere else. For example, if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN = 3\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e: \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"276\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"321\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"center\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55240,"title":"Calculate the mean of each half of a matrix","description":"Given a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\r\nFor example\r\n\r\nA = [3 4 4 3;\r\n    1 2 5 3;\r\n    1 1 4 5];\r\nm = halfmeans(A)\r\n\r\nm =\r\n    2     4\r\n(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 559.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 279.767px; transform-origin: 407px 279.767px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39px 8px; transform-origin: 39px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 294.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 147.25px; text-align: left; transform-origin: 384px 147.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 400px;height: 289px\" src=\"data:image/png;base64,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\" alt=\"A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means.\" data-image-state=\"image-loaded\" width=\"400\" height=\"289\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eA = [3 4 4 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 48px 8.5px; tab-size: 4; transform-origin: 48px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1 2 5 3;\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 52px 8.5px; tab-size: 4; transform-origin: 52px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1 1 4 5];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 64px 8.5px; tab-size: 4; transform-origin: 64px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em = halfmeans(A)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 8.5px; tab-size: 4; transform-origin: 0px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    2     4\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 164px 8px; transform-origin: 164px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = halfmeans(A)\r\nm = A;\r\nend","test_suite":"    %%\r\n    A = [6 8 8 8 7 7 3 5;4 2 1 1 1 4 2 5;1 7 4 7 4 8 2 2;2 5 1 7 3 2 7 7];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4.5,4.3125])) \u003c 1e-14 )\r\n    %%\r\n    A = [3 7 1 1];\r\n    m = halfmeans(A);\r\n    assert( isequal(m,[5,1]) )\r\n    %%\r\n    A = [3 1;3 6;6 4;2 7;6 6];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4,4.8])) \u003c 1e-14 )\r\n    %%\r\n    A = [3 4 5 2 6 7 6 2 4 4;6 8 2 8 1 6 7 2 5 1;2 5 2 6 1 2 4 4 4 8;1 5 8 5 5 6 4 7 6 2;6 7 1 4 1 5 7 7 6 1;5 7 4 1 7 8 1 1 3 3];\r\n    m = halfmeans(A);\r\n    assert( max(abs(m - [4.266666666666667,4.433333333333334])) \u003c 1e-14 )","published":true,"deleted":false,"likes_count":6,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:11:33.000Z","deleted_by":null,"deleted_at":null,"solvers_count":682,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:46:56.000Z","updated_at":"2026-03-31T10:31:51.000Z","published_at":"2022-10-03T14:11:33.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a matrix with an even number of columns, n, return a 1-by-2 row vector where the first element is the mean of all the elements in the first n/2 columns, and the second element is the mean of all the elements in the second n/2 columns.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"289\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"400\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A 3-by-4 matrix. The first two columns are blue, the second two are orange. The mean of the 6 blue elements is calculated. The mean of the 6 orange elements is calculated. The result is a 2-element row vector containing these two means.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[A = [3 4 4 3;\\n    1 2 5 3;\\n    1 1 4 5];\\nm = halfmeans(A)\\n\\nm =\\n    2     4]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e(2 = mean of [3,4,1,2,1,1], 4 = mean of [4,3,5,3,4,5])\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55250,"title":"Find the minimum of the column-maximums of a matrix","description":"Given a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\r\n\r\nA = [5 3 4 3;1 2 6 3;1 1 4 4];\r\nm = minimax(A)\r\nm =\r\n    3\r\nNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 751.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 375.867px; transform-origin: 407px 375.867px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 383.5px 8px; transform-origin: 383.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 284.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 142.25px; text-align: left; transform-origin: 384px 142.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 337px;height: 279px\" src=\"data:image/png;base64,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\" alt=\"A 3-by-4 matrix. Beneath it is a 1-by-4 row vector with the maximum value of each column of the matrix independently. Beneath that is the single minimum value of the row vector.\" data-image-state=\"image-loaded\" width=\"337\" height=\"279\"\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 81.7333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 40.8667px; transform-origin: 404px 40.8667px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 120px 8.5px; tab-size: 4; transform-origin: 120px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003eA = [5 3 4 3;1 2 6 3;1 1 4 4];\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 56px 8.5px; tab-size: 4; transform-origin: 56px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em = minimax(A)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003em =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 20px 8.5px; tab-size: 4; transform-origin: 20px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    3\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 371px 8px; transform-origin: 371px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 284.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 142.25px; text-align: left; transform-origin: 384px 142.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 583px;height: 279px\" src=\"data:image/png;base64,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\" alt=\"On the left, a 3-by-1 column vector; underneath is the scalar maximum value; under that is the minimum, which is the same value. On the right, a 1-by-4 row vector; underneath that is the same vector (representing the column maximums); under that is the minimum value.\" data-image-state=\"image-loaded\" width=\"583\" height=\"279\"\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function m = minimax(A)\r\nm = A;\r\nend","test_suite":"%% Check various size matrices\r\n    A = [0.57 -0.74 -0.46 -0.7 2.06;-3.44 3.36 -1.14 1.94 -3.91;0.62 2.31 2.76 4.45 -1.1;1.95 -1.4 2.34 2.84 0.91];\r\n    assert( isequal(minimax(A),1.95) )\r\n    %%\r\n    A = [-2.71 1.69;3.34 0;-4.84 -2.82;3.64 0.72;-4.22 -3.78];\r\n    assert( isequal(minimax(A),1.69) )\r\n    %%\r\n    A = [-4.44 1.17 0.17 4.17 0.86 4.39;-4.44 0.2 -3.57 4.87 2.63 0.9;-3.47 3.64 0.59 0.05 -4.17 -0.59;-4.8 -4.02 -4.95 -2.29 1.62 4.42;-0.65 4.08 2.67 -3.99 0.17 1.56;3.32 -3.92 3.49 0.08 -3.29 -0.48];\r\n    assert( isequal(minimax(A),2.63) )\r\n    %%\r\n    A = [0.54 -3.87 -1.4 -0.75 -1.06;1.8 -0.56 -3.6 -3.81 -4.97;-1.33 -2 -2.4 -0.05 -2.79;-2.61 -0.99 -4.13 2.06 -4.99;0.79 3.33 -0.71 -2.56 -3.11;3.67 -0.96 -2.43 2.85 -3.58;-0.93 -1.1 -2.02 -4.26 -2.32];\r\n    assert( isequal(minimax(A),-1.06) )\r\n    %%\r\n    A = [0.99 -2.79;4.01 -0.17;4.39 -1.24];\r\n    assert( isequal(minimax(A),-0.17) )\r\n    %%\r\n    A = [-4.32 -0.69 2.06;-0.64 4.62 1.45;-3.26 2.62 0.52;-4.74 -4.93 -2.82;4.55 1.8 2.72];\r\n    assert( isequal(minimax(A),2.72) )\r\n    %%\r\n    A = [3.91 -1.82 4.09 3.53;3.56 1.09 0.92 -0.58;-0.98 4.1 -1.67 4.04];\r\n    assert( isequal(minimax(A),3.91) )\r\n    %%\r\n    A = [2.16 -1.63 -1.78 0.49 0.53;-3.21 -3.12 -0.96 -4.51 -2.25];\r\n    assert( isequal(minimax(A),-1.63) )\r\n\r\n    %% Check row vector\r\n    A = [3.19 2.28 -3.24 -1.4 -3.11 -4.99 -1.84 2];\r\n    assert( isequal(minimax(A),-4.99) )\r\n    for k = 1:5\r\n        n = randi(7);\r\n        A = rand(1,n);\r\n        assert( isequal(minimax(A),min(A)) )\r\n    end\r\n\r\n    %% Check column vector\r\n    A = [0.43;-0.61;-2.13;0.02;2.62;2.62];\r\n    assert( isequal(minimax(A),2.62) )\r\n    for k = 1:5\r\n        n = randi(7);\r\n        A = rand(n,1);\r\n        assert( isequal(minimax(A),max(A)) )\r\n    end\r\n\r\n    %% Check scalar\r\n    for k = 1:5\r\n        A = randn;\r\n        assert( isequal(minimax(A),A) )\r\n    end","published":true,"deleted":false,"likes_count":8,"comments_count":3,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:28:07.000Z","deleted_by":null,"deleted_at":null,"solvers_count":631,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T15:15:22.000Z","updated_at":"2026-03-20T13:58:10.000Z","published_at":"2022-10-03T14:28:07.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a matrix A, find the maximum value of each column, then return the smallest of those maximum values (ie return the minimum of the column maximums).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"279\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"337\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A 3-by-4 matrix. Beneath it is a 1-by-4 row vector with the maximum value of each column of the matrix independently. Beneath that is the single minimum value of the row vector.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[A = [5 3 4 3;1 2 6 3;1 1 4 4];\\nm = minimax(A)\\nm =\\n    3]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eNote that your function should work for matrices with one row or column (ie vectors) and scalars (in which case m = A).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"279\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"583\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"On the left, a 3-by-1 column vector; underneath is the scalar maximum value; under that is the minimum, which is the same value. On the right, a 1-by-4 row vector; underneath that is the same vector (representing the column maximums); under that is the minimum value.\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId2\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image2.png\",\"relationshipId\":\"rId2\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null},{\"partUri\":\"/media/image2.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55230,"title":"Find Closest Constant","description":"Given a number x, return the value that is closest to x from this list of constants: 0, 1, , e, ,  (also known as ).\r\nFor example:\r\nc = closestconst(1.5)\r\nc =\r\n    1.4142\r\nc = closestconst(2.5)\r\nc =\r\n    2.7183\r\nc = closestconst(50)\r\nc =\r\n    6.2832\r\nc = closestconst(-10)\r\nc =\r\n     0     \r\nIf x is equally close to two values (eg ), you can return either value (so either 1 or  would be correct in this example).","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 374.2px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 187.1px; transform-origin: 407px 187.1px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 267.5px 8px; transform-origin: 267.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven a number x, return the value that is closest to x from this list of constants: 0, 1, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 23px; height: 20px;\" width=\"23\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003ee\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eπ\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 19.5px; height: 18px;\" width=\"19.5\" height=\"18\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 51px 8px; transform-origin: 51px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (also known as \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family: \u0026quot;STIXGeneral\u0026quot;, \u0026quot;STIXGeneral-webfont\u0026quot;, serif; font-style: italic; font-weight: 400; color: rgb(0, 0, 0);\"\u003eτ\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4.5px 8px; transform-origin: 4.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41px 8px; transform-origin: 41px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example:\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 245.2px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 122.6px; transform-origin: 404px 122.6px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(1.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    1.4142\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(2.5)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    2.7183\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 80px 8.5px; tab-size: 4; transform-origin: 80px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(50)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    6.2832\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 84px 8.5px; tab-size: 4; transform-origin: 84px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec = closestconst(-10)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 44px 8.5px; tab-size: 4; transform-origin: 44px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e     0     \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 58px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 29px; text-align: left; transform-origin: 384px 29px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 116px 8px; transform-origin: 116px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eIf x is equally close to two values (eg \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-15px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 73.5px; height: 37px;\" width=\"73.5\" height=\"37\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 140px 8px; transform-origin: 140px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e), you can return either value (so either 1 or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"vertical-align:-5px\"\u003e\u003cimg src=\"data:image/png;base64,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\" style=\"width: 23px; height: 20px;\" width=\"23\" height=\"20\"\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 76.5px 8px; transform-origin: 76.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e would be correct in this example).\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function cc = closestconst(x)\r\ncc = x;\r\nend","test_suite":"%%\r\nassert( closestconst(-rand) == 0 )\r\n%%\r\nc = closestconst(8 + rand);\r\nassert( abs(c - 2*pi) \u003c 1e-14 )\r\n%%\r\nc = closestconst(2.5);\r\nassert( abs(c - exp(1)) \u003c 1e-14 )\r\n%%\r\nc = closestconst(0.5);\r\nassert( (c == 0) || (c == 1) )\r\n%%\r\nc = closestconst(2.75);\r\nassert( abs(c - exp(1)) \u003c 1e-14 )\r\n%\r\nc = closestconst(3.6997);\r\nassert( abs(c - pi) \u003c 1e-14 )\r\n%%\r\nc = closestconst(1.1597);\r\nassert( c == 1 )\r\n%%\r\nc = closestconst(0.4597);\r\nassert( c == 0 )\r\n%%\r\nc = closestconst(1.8408);\r\nassert( abs(c - sqrt(2)) \u003c 1e-14 )","published":true,"deleted":false,"likes_count":9,"comments_count":1,"created_by":140016,"edited_by":223089,"edited_at":"2023-02-03T17:56:11.000Z","deleted_by":null,"deleted_at":null,"solvers_count":664,"test_suite_updated_at":"2023-02-03T17:56:11.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:36:50.000Z","updated_at":"2026-03-31T09:20:02.000Z","published_at":"2022-10-03T14:09:13.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven a number x, return the value that is closest to x from this list of constants: 0, 1, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\sqrt{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ee\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\pi\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e2\\\\pi\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e (also known as \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\tau\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example:\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[c = closestconst(1.5)\\nc =\\n    1.4142\\nc = closestconst(2.5)\\nc =\\n    2.7183\\nc = closestconst(50)\\nc =\\n    6.2832\\nc = closestconst(-10)\\nc =\\n     0     ]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eIf x is equally close to two values (eg \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003ex = \\\\frac{1+\\\\sqrt{2}}{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e), you can return either value (so either 1 or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:customXml w:element=\\\"equation\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"displayStyle\\\" w:val=\\\"false\\\"/\u003e\u003c/w:customXmlPr\u003e\u003cw:r\u003e\u003cw:t\u003e\\\\sqrt{2}\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:customXml\u003e\u003cw:r\u003e\u003cw:t\u003e would be correct in this example).\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55245,"title":"Calculating Student Grades","description":"The matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \r\n\r\nThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \r\nr = [0.2 0.45 0.35]\r\nwhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \r\nWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 564.933px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 282.467px; transform-origin: 407px 282.467px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 384px 8px; transform-origin: 384px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 299.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 149.75px; text-align: left; transform-origin: 384px 149.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 850px;height: 294px\" src=\"data:image/png;base64,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\" data-image-state=\"image-loaded\" width=\"850\" height=\"294\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 354px 8px; transform-origin: 354px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 20.4333px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 76px 8.5px; tab-size: 4; transform-origin: 76px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003er = [0.2 0.45 0.35]\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 353.5px 8px; transform-origin: 353.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003ewhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 311.5px 8px; transform-origin: 311.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function finalgrade = calculateGrade(r)\r\ngrades = [87 91\t81\t85\t72\t75\t70\t84\t63\t39\t64\t97\t74\t81\t73;\r\n85\t76\t77\t94\t67\t79\t93\t0\t0\t52\t59\t64\t79\t0\t82;\r\n74\t86\t85\t85\t86\t73\t70\t72\t92\t93\t57\t48\t48\t73\t76;\r\n87\t88\t77\t96\t86\t83\t82\t84\t98\t72\t64\t61\t61\t38\t80;\r\n72\t71\t84\t60\t83\t0\t74\t0\t79\t79\t56\t84\t43\t95\t68;\r\n86\t82\t79\t76\t84\t75\t85\t62\t90\t55\t90\t86\t63\t89\t69;\r\n83\t96\t80\t82\t71\t86\t80\t96\t0\t67\t55\t72\t84\t61\t71];\r\n\r\nfinalgrade = 0;\r\n\r\nend","test_suite":"%%  \r\ny = [80.1429;81.5714;79.8571;85.5714;63.4286;81.0000;82.5714];\r\nind = abs(calculateGrade([1 0 0])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%  \r\ny = [71.0714;49.4524;82.7619;85.1190;58.0476;75.0000;68.4524];    \r\nind = abs(calculateGrade([0.5 0.5 0])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%  \r\ny = [71.1586;43.9943;75.6614;76.4943;60.6057;75.0400;64.9743];    \r\nind = abs(calculateGrade([0.2 0.45 0.35])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n%%\r\ny = [70.8371;46.9752;80.8162;82.6419;58.6248;74.8400;67.0552];\r\nind = abs(calculateGrade([0.4 0.5 0.1])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n%%\r\ny = [73.5286;49.9143;71.8714;72.9143;63.0857;76.6;67.1143];\r\nind = abs(calculateGrade([0.2 0.3 0.5])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n%%\r\ny = [77.8;56.8;60.4;60.8;69.2;79.4;68.6];\r\nind = abs(calculateGrade([0 0 1])-y) \u003e 1e-4;\r\nassert(sum(ind)==0);\r\n\r\n","published":true,"deleted":false,"likes_count":9,"comments_count":3,"created_by":140016,"edited_by":223089,"edited_at":"2023-02-05T06:21:36.000Z","deleted_by":null,"deleted_at":null,"solvers_count":447,"test_suite_updated_at":"2023-02-05T06:21:36.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T15:00:22.000Z","updated_at":"2026-03-20T13:56:37.000Z","published_at":"2022-10-03T14:10:54.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe matrix grades contains raw grades for 7 students who took your course. Each row represents a different student. The first 7 columns contain grades from 7 homework assignments, the next 3 columns contain grades from exams, and the last 5 columns contain grades from quizzes. If a student missed an assignment, their grade was recorded as 0. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"294\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"850\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe final grade for each student is calculated using the average of their raw scores weighted by how much each assignment type is worth. An example rubric would look something like: \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[r = [0.2 0.45 0.35]]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003ewhich indicates that homework, exams, and quizzes are worth 20%, 45%, and 35% of each student's final grade, respectively.  \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes a rubric vector as an input and outputs the final grade for each student. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,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\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":2064,"title":"Generate this matrix","description":"Generate the following matrix.\r\n\r\n  n = 2;\r\n  out = [-4    -3    -2    -1     0\r\n         -3    -2    -1     0     1\r\n         -2    -1     0     1     2\r\n         -1     0     1     2     3\r\n          0     1     2     3     4];\r\n  \r\n  n = 5;\r\n  out = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n          -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n          -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n          -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n          -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n          -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n          -4    -3    -2    -1     0     1     2     3     4     5     6\r\n          -3    -2    -1     0     1     2     3     4     5     6     7\r\n          -2    -1     0     1     2     3     4     5     6     7     8\r\n          -1     0     1     2     3     4     5     6     7     8     9\r\n           0     1     2     3     4     5     6     7     8     9    10];","description_html":"\u003cp\u003eGenerate the following matrix.\u003c/p\u003e\u003cpre class=\"language-matlab\"\u003en = 2;\r\nout = [-4    -3    -2    -1     0\r\n       -3    -2    -1     0     1\r\n       -2    -1     0     1     2\r\n       -1     0     1     2     3\r\n        0     1     2     3     4];\r\n\u003c/pre\u003e\u003cpre class=\"language-matlab\"\u003en = 5;\r\nout = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n        -4    -3    -2    -1     0     1     2     3     4     5     6\r\n        -3    -2    -1     0     1     2     3     4     5     6     7\r\n        -2    -1     0     1     2     3     4     5     6     7     8\r\n        -1     0     1     2     3     4     5     6     7     8     9\r\n         0     1     2     3     4     5     6     7     8     9    10];\r\n\u003c/pre\u003e","function_template":"function y = mystery_matrix(n)\r\n  y = 0;\r\nend","test_suite":"%%\r\nn = 2;\r\ny_correct = [-4    -3    -2    -1     0\r\n             -3    -2    -1     0     1\r\n             -2    -1     0     1     2\r\n             -1     0     1     2     3\r\n              0     1     2     3     4];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n\r\n%%\r\nn = 3;\r\ny_correct = [-6    -5    -4    -3    -2    -1     0\r\n             -5    -4    -3    -2    -1     0     1\r\n             -4    -3    -2    -1     0     1     2\r\n             -3    -2    -1     0     1     2     3\r\n             -2    -1     0     1     2     3     4\r\n             -1     0     1     2     3     4     5\r\n              0     1     2     3     4     5     6];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n\r\n%%\r\nn = 5;\r\ny_correct = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\r\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\r\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\r\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\r\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\r\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\r\n        -4    -3    -2    -1     0     1     2     3     4     5     6\r\n        -3    -2    -1     0     1     2     3     4     5     6     7\r\n        -2    -1     0     1     2     3     4     5     6     7     8\r\n        -1     0     1     2     3     4     5     6     7     8     9\r\n         0     1     2     3     4     5     6     7     8     9    10];\r\nassert(isequal(mystery_matrix(n),y_correct))\r\n","published":true,"deleted":false,"likes_count":13,"comments_count":1,"created_by":17852,"edited_by":null,"edited_at":null,"deleted_by":null,"deleted_at":null,"solvers_count":813,"test_suite_updated_at":"2017-07-20T19:16:01.000Z","rescore_all_solutions":true,"group_id":31,"created_at":"2013-12-19T11:08:36.000Z","updated_at":"2026-03-20T13:57:32.000Z","published_at":"2013-12-19T11:09:22.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"targetMode\":\"\",\"relationshipId\":\"rId1\",\"target\":\"/matlab/document.xml\"},{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/output\",\"targetMode\":\"\",\"relationshipId\":\"rId2\",\"target\":\"/matlab/output.xml\"}],\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"relationship\":[],\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\\n\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGenerate the following matrix.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[n = 2;\\nout = [-4    -3    -2    -1     0\\n       -3    -2    -1     0     1\\n       -2    -1     0     1     2\\n       -1     0     1     2     3\\n        0     1     2     3     4];\\n\\nn = 5;\\nout = [-10    -9    -8    -7    -6    -5    -4    -3    -2    -1     0\\n        -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1\\n        -8    -7    -6    -5    -4    -3    -2    -1     0     1     2\\n        -7    -6    -5    -4    -3    -2    -1     0     1     2     3\\n        -6    -5    -4    -3    -2    -1     0     1     2     3     4\\n        -5    -4    -3    -2    -1     0     1     2     3     4     5\\n        -4    -3    -2    -1     0     1     2     3     4     5     6\\n        -3    -2    -1     0     1     2     3     4     5     6     7\\n        -2    -1     0     1     2     3     4     5     6     7     8\\n        -1     0     1     2     3     4     5     6     7     8     9\\n         0     1     2     3     4     5     6     7     8     9    10];]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\"},{\"partUri\":\"/matlab/output.xml\",\"contentType\":\"text/xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\" standalone=\\\"no\\\" ?\u003e\u003cembeddedOutputs\u003e\u003cmetaData\u003e\u003cevaluationState\u003emanual\u003c/evaluationState\u003e\u003clayoutState\u003ecode\u003c/layoutState\u003e\u003coutputStatus\u003eready\u003c/outputStatus\u003e\u003c/metaData\u003e\u003coutputArray type=\\\"array\\\"/\u003e\u003cregionArray type=\\\"array\\\"/\u003e\u003c/embeddedOutputs\u003e\"}]}"},{"id":54485,"title":"Dog Statistics","description":"The vectors ht and wt contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by NaN (Not a Number). \r\nWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. ","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 115px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 57.5px; transform-origin: 407px 57.5px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39.5px 8px; transform-origin: 39.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe vectors \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 8px 8px; transform-origin: 8px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003eht\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 8px 8px; transform-origin: 8px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 8px 8.5px; transform-origin: 8px 8.5px; \"\u003ewt\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 299px 8px; transform-origin: 299px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 12px 8px; transform-origin: 12px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 12px 8.5px; transform-origin: 12px 8.5px; \"\u003eNaN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 54px 8px; transform-origin: 54px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e (Not a Number). \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 370px 8px; transform-origin: 370px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [y,p] = retrieveWeight(x1,x2)\r\n\r\nht = [24.8, 23.8, NaN, 20.5, 19.7, ...\r\n    25.2, 15.0, 23.4, 18.7, NaN,...\r\n    NaN, 25.8, 19.8, 18.3, 18.2,...\r\n    24.6, 17.4, 18.7, 24.0, 22.6];\r\n\r\nwt = [62.6, 69.2, 64.7, 61.2, 60.4,...\r\n    68.0, 71.6, NaN, 62.0, 73.0,...\r\n    62.4, 71.8, 74.6, 59.7, 73.2,...\r\n    67.0, 70.8, 59.2, 70.4, 63.8];\r\n\r\ny = x1;\r\np = x2;\r\n\r\nend","test_suite":"%%\r\n[y,n] = retrieveWeight(20,23);\r\nassert(isequal(y,62.5) \u0026 isequal(n,10))\r\n%%\r\n[y,n] = retrieveWeight(23,26)\r\nassert(abs(y-68.1667)\u003c1e-4 \u0026 isequal(n,35))\r\n%%\r\n[y,n] = retrieveWeight(19,26);\r\nassert(abs(y-66.9)\u003c1e-4 \u0026 abs(n-55)\u003c1e-4)\r\n%%\r\n[y,n] = retrieveWeight(17,23);\r\nassert(abs(y-64.9889)\u003c1e-4 \u0026 abs(n-45)\u003c1e-4)","published":true,"deleted":false,"likes_count":6,"comments_count":1,"created_by":571375,"edited_by":223089,"edited_at":"2022-10-04T18:03:45.000Z","deleted_by":null,"deleted_at":null,"solvers_count":405,"test_suite_updated_at":"2022-10-04T18:03:45.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-05-03T20:06:40.000Z","updated_at":"2026-03-31T14:48:30.000Z","published_at":"2022-10-03T14:27:27.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe vectors \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eht\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ewt\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e contains the heights and weights of 20 golden retrievers. In some cases, it was not possible to make both measurements, so any empty cells are represented by \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eNaN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e (Not a Number). \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that calculates the average weight of all golden retrievers within a certain height range. Your function should take the lower and upper bound for the height range as inputs. It should output the average weight of the dogs in that height range, as well as the percentage of dogs in that range. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55225,"title":"Simpson's Paradox - Calculate correlation coefficients for groups of data","description":"Simpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\r\n\r\nWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\r\n[c,c1,c2] = groupcorr(x,y,g)\r\nc =\r\n    0.8800\r\nc1 =\r\n   -0.6800\r\nc2 =\r\n   -0.4396\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 701.533px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 350.767px; transform-origin: 407px 350.767px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 376.5px 8px; transform-origin: 376.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eSimpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 352.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 176.25px; text-align: left; transform-origin: 384px 176.25px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 463px;height: 347px\" src=\"data:image/png;base64,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\" alt=\"A scatter plot of blue and orange points. The blue points are near the origin and appear negatively correlated. The orange points are further from the origin and also negatively correlated. Best fit lines go through each group separately. Correlation coefficients of r = -0.68 and r = -0.44, respectively, are shown. A black best fit line is shown for all the data. It has positive slope. The correlation coefficient is r = 0.88\" data-image-state=\"image-loaded\" width=\"463\" height=\"347\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 84px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 42px; text-align: left; transform-origin: 384px 42px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 363px 8px; transform-origin: 363px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgb(247, 247, 247); block-size: 143.033px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 404px 71.5167px; transform-origin: 404px 71.5167px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; \"\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 112px 8.5px; tab-size: 4; transform-origin: 112px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e[c,c1,c2] = groupcorr(x,y,g)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 12px 8.5px; tab-size: 4; transform-origin: 12px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e    0.8800\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec1 =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   -0.6800\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 16px 8.5px; tab-size: 4; transform-origin: 16px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003ec2 =\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"background-color: rgba(0, 0, 0, 0); block-size: 20.4333px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 404px 10.2167px; transform-origin: 404px 10.2167px; white-space: nowrap; \"\u003e\u003cspan style=\"block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 40px 8.5px; tab-size: 4; transform-origin: 40px 8.5px; unicode-bidi: normal; white-space: pre; margin-right: 45px; \"\u003e\u003cspan style=\"margin-inline-end: 0px; margin-right: 0px; \"\u003e   -0.4396\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 10px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 10px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 10px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [call,c1,c2] = groupcorr(x,y,g)\r\ncall =   % correlation coefficient for all x \u0026 y\r\nc1 =     % correlation coefficient for x \u0026 y for which g = 1\r\nc2 =     % correlation coefficient for x \u0026 y for which g = 2\r\nend","test_suite":"    %%\r\n    x = [0.93;0.32;0.18;0.2;0.57;0.6;0.96;0.65;0.75;0.65;0.75;0.96;0.01;0.11;0.3;0.66;0.81;0.87;0.96;0.72;2.64;2.72;2.47;2.33;2.44;2.73;2.99;2.68;2.79;2.17;2.03;2.8;2.9;2.02;2.49;2.53;2.6;2.05;2.9;2.73];\r\n    y = [0.71;0.84;1.21;0.59;0.52;0.49;0.48;0.64;0.82;0.26;0.63;0.14;1.18;1.2;0.87;0.42;0.58;0.48;0.78;0.72;2.62;2.52;2.84;2.41;2.64;2.82;2.96;2.73;3.27;3.09;3.25;2.6;2.39;3.12;2.76;2.39;2.43;3.26;2.55;3.06];\r\n    g = [1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.879811557106905) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.682850785069857) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.443669568699530) \u003c 1e-10 )\r\n    %%\r\n    x = [0.19;0.62;0.44;0.79;0.78;0.27;0.28;0.8;0.96;0.88;2.36;2.5;2.68;2.71;2.37;2.56;2.5;2.01;2.77;2.88;2.36;2.62;2.08;2.37;2.93;2.65;2.4;2.79;2.32;2.57];\r\n    y = [1.21;0.59;0.86;0.32;0.76;1;0.69;1.07;0.47;0.68;1.27;1.7;1.31;2.12;2.21;1.99;1.74;2.29;1.69;1.81;1.93;2.05;2.24;2.37;1.88;2.25;2.24;2.22;1.87;2.05];\r\n    g = [1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.813840950727923) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.582326584401800) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.269801548840031) \u003c 1e-10 )\r\n    %%\r\n    x = [0.7;0.29;0.23;0.55;0.72;0.42;0.98;0.68;0.48;0.39;2.34;2.73;2.44;2.06;2.4;2.74;2.18;2.18;2.53;2.53];\r\n    y = [0.04;0.84;0.88;0.24;0.08;0.2;-0.56;-0.17;-0.06;0.55;0.81;0.64;1.06;1.66;1.13;0.41;1.4;1.86;1.3;0.95];\r\n    g = [1;1;1;1;1;1;1;1;1;1;2;2;2;2;2;2;2;2;2;2];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.578088106597685) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.909415164856844) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.852572691472539) \u003c 1e-10 )\r\n    %%\r\n    x = [0.7;0.29;0.23;0.55;0.72;0.42;0.98;0.68;0.48;0.39;2.34;2.73;2.44;2.06;2.4;2.74;2.18;2.18;2.53;2.53;2.63;2.85;2.72;2.61;2.72];\r\n    y = [-3.02;-2.47;-2.52;-3.24;-2.45;-3.28;-3.01;-2.75;-2.49;-2.44;-1.8;-1.88;-0.69;-0.37;-1.4;-1.53;-1.64;-1.46;-1.69;-0.58;-1.83;-1.88;-1.21;-1.58;-1.49];\r\n    g = [2;2;2;2;2;2;2;2;2;2;1;1;1;1;1;1;1;1;1;1;1;1;1;1;1];\r\n    [c,c1,c2] = groupcorr(x,y,g);\r\n    assert( abs(c - 0.779096741082947) \u003c 1e-10 )\r\n    assert( abs(c1 - -0.422371512501801) \u003c 1e-10 )\r\n    assert( abs(c2 - -0.353473466432753) \u003c 1e-10 )","published":true,"deleted":false,"likes_count":7,"comments_count":0,"created_by":287,"edited_by":287,"edited_at":"2022-10-03T14:22:57.000Z","deleted_by":null,"deleted_at":null,"solvers_count":432,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:27:02.000Z","updated_at":"2026-03-31T14:44:49.000Z","published_at":"2022-10-03T14:22:57.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eSimpson's Paradox is a statistical phenomenon where groups of data can have a characteristic while the whole data set together has the opposite characteristic. In the example below, both groups have a negative correlation between x and y, but collectively there is a positive correlation.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"347\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"463\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"A scatter plot of blue and orange points. The blue points are near the origin and appear negatively correlated. The orange points are further from the origin and also negatively correlated. Best fit lines go through each group separately. Correlation coefficients of r = -0.68 and r = -0.44, respectively, are shown. A black best fit line is shown for all the data. It has positive slope. The correlation coefficient is r = 0.88\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eWrite a function that takes three vectors as input: x, y, and g. The vector g will contain only the values 1 and 2. The function should return three outputs. These outputs are the Pearson correlation coefficients for three different groupings of the data, which are: (1) for all x and y, (2) x and y corresponding to elements where g has the value 1, (3) x and y for which g is 2.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"code\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c![CDATA[[c,c1,c2] = groupcorr(x,y,g)\\nc =\\n    0.8800\\nc1 =\\n   -0.6800\\nc2 =\\n   -0.4396]]\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/image\",\"target\":\"/media/image1.png\",\"relationshipId\":\"rId1\"}]},{\"partUri\":\"/media/image1.png\",\"contentType\":\"image/png\",\"content\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABz0AAAVtCAYAAABp71M6AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAMsAAADLAAShkWtsAAP+lSURBVHhe7P0HnNSFtf//5/v7/r7f/+97EzVq9H7VRI01PTEmGk3sxqggIKAIiAWsWLCgiDQVQcWCHRUsFBVQEFFQEWlKVUDa9t57n60zc/5zzszgsH62wLb57L6ej3vuzOy0z84O47373nPOTwQAAAAAAAAAAAAAXIzQEwAAAAAAAAAAAICrEXoCAAAAAAAAAAAAcDVCTwAAAAAAAAAAAACuRugJAAAAAAAAAAAAwNUIPQEAAAAAAAAAAAC4GqEnAAAAAAAAAAAAAFcj9AQAAAAAAAAAAADgaoSeAAAAAAAAAAAAAFyN0BMAAAAAAAAAAACAqxF6AgAAAAAAAAAAAHA1Qk8AAAAAAAAAAAAArkboCQAAAAAAAAAAAMDVCD0BAAAAAAAAAAAAuBqhJwAAAAAAAAAAAABXI/QEAAAAAAAAAAAA4GqEngAAAAAAAAAAAABcjdATAAAAAAAAAAAAgKsRegIAAAAAAAAAAABwNUJPAAAAAAAAAAAAAK5G6AkAAAAAAAAAAADA1Qg9AQAAAAAAAAAAALgaoScAAAAAAAAAAAAAVyP0BAAAAAAAAAAAAOBqhJ4AAAAAAAAAAAAAXI3QEwAAAAAAAAAAAICrEXoCAAAAAAAAAAAAcDVCTwAAAAAAAAAAAACuRugJAAAAAAAAAAAAwNUIPQEAAAAAAAAAAAC4GqEnAAAAAAAAAAAAAFcj9AQAAAAAAAAAAADgaoSeAAAAAAAAAAAAAFyN0BMAAAAAAAAAAACAqxF6AgAAAAAAAAAAAHA1Qk8AAAAAAAAAAAAArkboCQAAAAAAAAAAAMDVCD0BAAAAAAAAAAAAuBqhJwAAAAAAAAAAAABXI/QEAAAAAAAAAAAA4GqEngAAAAAAAAAAAABcjdATAAAAAAAAAAAAgKsRegIAAAAAAAAAAABwNUJPAAAAAAAAAAAAAK5G6AkAAAAAAAAAAADA1Qg9AQAAAAAAAAAAALgaoScAAAAAAAAAAAAAVyP0BAAAAAAAAAAAAOBqhJ4AAAAAAAAAAAAAXI3QEwAAAAAAAAAAAICrEXoCAAAAAAAAAAAAcDVCTwAAAAAAAAAAAACuRugJAAAAAAAAAAAAwNUIPQEAAAAAAAAAAAC4GqEnAAAAAAAAAAAAAFcj9AQAAAAAAAAAAADgaoSeAAAAAAAAAAAAAFyN0BMAAAAAAAAAAACAqxF6AgAAAAAAAAAAAHA1Qk8AAAAAAAAAAAAArkboCQAAAAAAAAAAAMDVCD0BAAAAAAAAAAAAuBqhJwAAAAAAAAAAAABXI/QEAAAAAAAAAAAA4GqEngAAAAAAAAAAAABcjdATAAAAAAAAAAAAgKsRegIAAAAAAAAAAABwNUJPAAAAAAAAAAAAAK5G6AkAAAAAAAAAAADA1Qg9AQAAAAAAAAAAALgaoScAAAAAAAAAAAAAVyP0BAAAAAAAAAAAAOBqhJ4AAAAAAAAAAAAAXI3QEwAAAAAAAAAAAICrEXoCAAAAAAAAAAAAcDVCTwAAAAAAAAAAAACuRugJAAAAAAAAAAAAwNUIPQEAAAAAAAAAAAC4GqEnAAAAAAAAAAAAAFcj9AQAAAAAAAAAAADgaoSeAAAAAAAAAAAAAFyN0BMAAAAAAAAAAACAqxF6otvx+/2hcwAAAAAAAAAAAOgJCD3R7bgh9CSYBQAAAAAAAAAAaD+EnogqPp9PGhoapK6uTmpqaqS6ulo8Ho9UVVXtU/p1vV5vp7f3er0dFiTq4+rj19fXt3hckaXX621ra2vtfvoY+v0BAAAAAAAAAACgfRF6IqpUVFRIRkaG7Ny5U9avXy8rVqyQjz/+WD744AOZP3++LFiwQBYtWiTLly+Xb775Rnbt2iVpaWlSUlJi4WdH0MCyuLhYUlJSZMeOHfsc14cffmjHpqd6XHp+4cKFdqrXr1y5UjZv3ix79uyRrKws+/4IPgEAAAAAAAAAANoXoSeihoaBmZmZsm7dOpkzZ448+eSTct9998kNN9wgV111lfTr18/qmmuukZEjR8rUqVNl7ty5smrVKklMTLTuyo5QWVkp8fHx8uWXX8rbb7+997huvPFGGTRokB2bnupx6fn+/fvb6fDhw2XMmDHywgsvWAi6ceNGyc7O7rBwFgAAAAAAAAAAoKci9ETU0NBSOynfe+89mTBhglx33XXy73//W/7yl7/IiSeeKL/61a+sTjnlFDn77LNlyJAhdru33nrLui/z8/NDj9S+tMtTuzX1eR566CEZOnSoXHDBBfKnP/3JjuuEE06Qk08+WU499VS7fPzxx9vp6aefLn379pV77rlHXnzxRfnss88kOTnZxuQCAAAAAAAAAACg/RB6okvpnkvdj1lUVGTdlJ9//rkFhPfee6+Fi3369JFLLrlEzjvvPAs6zzrrLDnnnHPsa1dffbV1fD7++OPWSamjbktLS+0x24vu8ywoKJDVq1fLc889J7feeqtceeWVcvHFF9tx/OMf/7Dj0uPTIFRP//nPf8q5554rvXv3lptvvlkee+wx6xBds2aNpKen0+kJAAAAAAAAAADQzgg90aU08NSdnBs2bJAlS5bIjBkz5NFHH7XQU2v8+PEybdo0mT59utXTTz8tU6ZMkbFjx8rtt99uo2/vuOMOeeaZZ+TTTz+V3bt3S25urnWNtkf4qSN39fF0h+cTTzwhN910kwwbNszCzwcffFAmTpxox6PHpcenwagei9Yrr7xi43eXLVtm35+Gurp7lJ2eAAAAAAAAAAAA7YvQE12qrKxMtm7dKu+//74Fho888ogFmhp2aoioQejOnTtt16eGj9opqZc/+eQT6/C8/vrrbZemBqQamGqnqI7IzcvLa5cxsvoYuodz+fLlMnnyZOvcHDVqlO3p1JBVx95q0Ko7RTW8zcjIsNPw+ZycHOsU1Q5Uj8fDaFsAAAAAAAAAAIAOQOiJLqWh55YtW6wjUrsjNcicOnWqhYoLFy60gLOuri506yAdD6ujbDXk1M7LgQMHyi233GL3e/fdd2Xt2rWSmpoqtbW1oXvsPx1rq1VTU2NB68cff2xdnfp8Y8aMsb2jMTExdvx0bgIAAAAAAAAAAHQtQk90KR1Dq2NfV61aJYsXL5YFCxbIhx9+aJ2V2kWpnZJONIjU22oAOWLECNvtqaHkq6++ah2YcXFxFlgeKA0yNVytrKyUpKQkWbRokYwbN86eSztR9Rg1WD3Qzs1wqAoAAAAAAAAAAIC2I/REl9LQUEe/6vhaDRd1TKye6nhYHVGrI2GdaBiqo2yfffZZCyEfeOABmTBhgnWLaoeodoI2dd/W0H2g2ilaXFwssbGxFrA+/PDD1umppxp6pqSktKmbFAAAAAAAAAAAAO2D0BNRIdz52Liaovs9tTv0tddes5G4GnhOmjRJnn76aZk/f77t9WxL6KldntqFqsGrPpaOs9VwVXd6asendn5q6NmWblIAAAAAAAAAALq71atXh84BHYvQE12iuUCzNcKdntOnT5fx48dbEDllyhQbb7t06VLrzqyurg7dev9pB2p5ebl1oG7dulXmzZtnz6FjdB977DFZtmyZBa8AAAAAAAAAAMDZI488Ij/5yU/sFOhohJ5wpYyMDBtjq92Xt99+uzz44IPy/PPP29fWr19vOz/bMno2PNpWuzk3bdokc+fOtU7S++67z0borlmzRioqKkK3BgAAAAAAAAAAkcKBZ7gIPtHRCD3hOj6fT/bs2WOjbXXc7ODBg+X++++Xt956y8LIuLg4KSoqsm7NA6Vja/Pz8+2xvv76a3nnnXfsA3n06NHy3HPPydq1a60TFAAAAAAAAAAA7Ov888/fJ/AMF6Nu0ZEIPRG1NNzU4FLH1JaVlVnnpe7YjI+Pl+XLl8vkyZPl2muvlWuuuWbvns2dO3fa2Fndx+n1ekOPtP/0OXWErj7el19+Ka+//ro89NBDNt5WOz4XLFhg1+ltCgoK7Lj0efVUL2voqsesj6P7QQEAAAAAAAAA6O401Gwq8NSi2xMdidATUSscPO7evVvWrVsnS5Yskbfffts6LR9++GG56aabLPDUbk/d7am30dBRR9NqYNqWvaEej8dG6H733Xfy8ccfy9NPP23P17dvX7n66qvl3nvvta/NmDHDOk51l6ief/PNN23/5+LFi+3DXTtF27sjtK37UAEAAAAAAAAAaG+Nx9k2LgJPdDRCT0St0tJS66bU0PGll16yEbYaOF588cVywQUXyGWXXSZDhw61fZ4aNOrIWx1L2x4qKyslNTXV9oO+//77Mn78eOnXr5+cfvrp8sc//lHOOOMMufDCC+WSSy6Rf//733LRRRfJf/7zHwtF9ZjuuusuC0U/++wzC0/bM6jUx+qo4JNAFQAAAAAAAACwvwg8EQ0IPRG1dJztli1bZO7cufaBqGHiWWedJaeeeqr84Q9/sNDxxhtvlMcee0w+/PBDiY2NtQ7N9lBRUSEJCQmyatUq69687777LODU5/7Vr34lxx13nJx88slyyimnyEknnSQnnniiXaeB6JlnnmmB7B133GH3/f77763bsyMCxXAAqp2t4dKxvs1V+Hbh+3bEcQEAAAAAAAAAeobmxtlqsccTnYXQE1FLd2LqaNtly5bZTs0JEybIiBEjZODAgTJgwAAZNmyY3H333RZ66tjbr776SmJiYmy3pnZqtmWXZklJiezYscNG6j7//PO2y/PSSy+V0047Tf7yl7/Iv/71L+nVq5dceeWV0r9/fzvV6tOnj31dT3Uc7lNPPSVLly614DMrK8vCVA0e24PuO9VgWDtSd+3aZQHx119/bUGt7iHVWrlypZWeX7FihZ3XMcA6tldD4vT0dHuM9uqQBQAAAAAAAAD0DC3t79TrCDzRmQg9EbU0iMvPz7e9mBroaaipAeJ7771nIei0adNk0qRJVk888YTt1Zw/f76sWbNGkpKSpKqqKvRI+6+wsFA2bNgg77zzjkyePFluueUWG2+rweegQYNspO4rr7xiY3UXLlwoCxYssI7UF198UcaNG2chqXZ66u5RDU31mDVsTEtLa7eAUb8/DS41FH7jjTdkypQpdlz63Bq4aulx33rrrXZeu2J1/+no0aNt9K4eu4agOhZYg08AAAAAAAAAAFqrucCTcbboCoSeiFo6dlW7NWtra6W6utpO6+rqbFRsfHy8fPrpp7brU0NPDfJ056d2g86cOdMCy7YEeRq2rl271sJE/XDWHZ3Dhw+3EPHRRx+Vjz76yI5B947qMemxaXeo7iDVUbsaKmrgee+999px6WPMnj1btm3bZt2e7UGfTwPeZ5991o6rd+/e8s9//lP+/Oc/y29+8xur3//+91Y6elfH8P72t7+Vc845x7pkw8f0zTffSE5ODmNuAQAAAAAAAAD7xSn4JPBEVyH0RNRpTfimIej27duts1NDPw09tZtROxm14/Gzzz6T7OzsAx5xW1RUJJs3b5b333/fgtWpU6faGF0dV/vuu+/auFoNOhvTEFTvp12felsNPfW4br/9djtODSm1i1R3arZVQUGBjd/V5/jPf/4j//jHP+Tvf/+77RTVU60zzjjD6q9//auFoX/729/stvo6aXesdqBu3LhR8vLyCD0BAAAAAAAAAPtFx9dGBp6Ms0VXIvRE1GlN+KahYUZGhu2w1GBSA0nd9zlkyBAZM2aMjZxNTEy03Z66Q3N/Az29X3JysmzatMlGwOoI2U8++US++OIL+fbbb21vqBPt+tT76Qe7dlGOHz9ebrjhBuus1I5U7U7VPZoej8e+h7YEjXoMGq5ee+21FnCee+659jzaYaojebX0L2omTpxox6Ff105YDWNnzZplo4K1I1ZfJ92fCgAAAAAAAACAE/2dd1MdnHod+zsRDQg94UoaZOp4V93dqWNotRtTd1deffXVMmrUKAscd+zYYV2VukNTb78/tENUg0/t+NQuSO0a1dIxsDo2VztNnWjoqc+puzY1INWAUXdp6nHpvk0NY3VHqR67doru73FFysrKktdee83G2v7hD3+QPn36yPTp063TVINXrZiYGNm1a5eN3dXXQ0/1a3qd3l+/P/0+6+vrQ48KAAAAAAAAAMAPNMxkdC3cgNATrqShpAaPuntTx9xq56KOkO3fv7+MHDnSLuv+TA0stavyQMfc7i99nqqqKgtHdWyshrHagTpw4EC57777bJzsnj17LBjV429L6JmZmSkvvPCCXHjhhXLyySdbsKr7RDXkBQAAAAC4j2fXeima/3ToEgAAQNfTkDNyfC3BJ6IZoSdcScNCDfc0PNT9mjNnzpRbbrlF+vbtK7fddpu8+eab9vX97fRs615LHVmrXZPayalhrHZi6nFpIKl7RxcsWNBunZ463lc7O8877zw58cQTZdCgQTayti3Y6wkAAAAAXSfuyv+2IvgEAADRwCnwDBejbBGNCD3RJdoaroXHz+rI2S1btsirr74qN910k4141U7POXPm2IjZiooKu62Gka3R1uPS+2voWVpaaqGrdpzecccdtndz3LhxsmTJEklNTbVj35/jcqKhp3Z6XnDBBXLSSSdZsLp48WJG1QIAAACAC2nQGQ49CT8BAEBX0x2dTmGnFvs7Ea0IPeFK2iWpXZzx8fGyatUqef75522MrI63veeee6yjMiUlxW7XmcLjbXNzcy2M1Q5UPZ6bb75ZHn/8cdvzqaNvdfenakvIquNtX3zxRbnooovklFNOsdBTv28NegEAAAAA7tI48Iwswk8AANBZNMxsKfAEohWhJ7qUjnfVnZvFxcW2f1PDQj3VQLOsrKzJ0FKDRe2Y3LBhg+2xnDp1qgWLQ4cOlYcfflg+/vhjycrKOqDxsRpE6vNqt6Yejz6OnhYVFUl5ebmNy22qQ1O/F+0+3blzp3z22WcWSuouz7vuukuee+45Wbt2rT1OWzo8w8Kh58UXX0zoCQAAAAAu5tTl2bgIPgEAQEdrbpytFrs8Ee0IPdGlNCTU8HLTpk3y5ZdfWlC4YsUKWbdunQWHGn460WBv27ZtsnDhQuvyfOihh2yX5+233y7Tpk2Tr776qsn7tkSD0oKCAnv8ZcuWyaJFi2T58uUWsOrIXA1Aw52ajemuzq1bt9qY2RkzZsikSZPk3nvvlQcffND2e2r3Z3uFkoSeAAAAANB9tCb41CL8BAAAHYHAE90BoSe6lHZzfvfddzJ//nx56aWX5JlnnpHp06fLG2+8IUuXLpW4uDjHrkjtBtVRsdo9qYGidlLqGNnx48fbHs22hIu6E1NH42q36NNPPy0TJkyQp556SmbPnm2B7K5duyzcdJKWlmbHrffTIFYDz9GjR8vkyZPlvffes/tqp2h7IPQEAAAAgO6H8BMAAHS25sbZarG/E25B6IkupSNkNaCcM2eOBYsTJ0608bSPPvqodUpqx2Z6erp1hOq+TA0MtQtTg1INIfW2I0eOlFGjRllX5csvv2yho3ZkNg4XdWytPoZ2aVZXV1vpGFv9WuQYXL0+KSnJOjw1rNTxtPo8zz77rMydO9fC1t27d9tx6HHp7fVUd3V+88031tGpQad2nWro+dhjj9n38vnnn0tycrI9X3sg9AQAAACA7qs14SfBJwAAaA9NdXlqGErgCTch9ESX0t2c8fHxsnLlSpk3b551eWpnpYaGY8eOtc7Pt99+28bY6u5ODfU0INWwT4PIW2+91cJFvY92h+o4Wh1LqyNoG4eL2sGpQWVMTIyN09XSzksNVXUUrgaX2lWqt9P7r1+/3o7phRdesED2ySeftNG5Ok535syZ8u6779rx6LFpp+o777xjnacPPPCA7RfVMFb/Y/HWW29Z4Lljxw57nvbY56kIPQEAAACge2sp+AQAAGgvjbs9GWcLNyL0RJfSYFJH3GZkZFhY+dFHH1nQqaNqr7/+ehk8eLCFeQMGDJB+/fpJ37595corr5T+/fvLwIED5dprr7UuTx2Nq6NnNUDVYFG7PLWzM5KGmhp46nPo7bU0JNTuTL1ffn6+dX9q16d2gOpl7RjV/aIaaupxaaCpQeuwYcPsuPQ49JjCx6Wlx6XX621ff/11WbNmjXV4FhcXOx7XgSL0BAAAAICewSn8dOry9OxaHzoHAACw/8LBJ4En3IrQE1FDR93q2FrtmNR9mEOHDpWLLrpI/vKXv8hJJ50kxx57rBx33HFy8skny+mnny6XXHKJ3HDDDTbWVrst9+zZY52jTamsrJRvv/3WgkjdAzpmzBgLDbU7dPv27Ra86m0iQ0k9r+GnBqN6Px11q+HieeedJ3/84x/lhBNO2Htcp556qpx55pnSq1cv6/ScOnWqjdrVUbnttcczEqEnAAAAAPQs4fCzqbG2zQWiAAAASgNNDTed6ChbxtnCzQg9ETW0wzI1NdV2Zr7yyis23vbGG2+UPn36yAUXXCD/+te/5JxzzrGQTzssteNSd3+++eab1o2pI2mbo4Hozp07rWtTx9VqacCqH+IamOpOTr1N405M3dkZFxcnS5Yssb2e999/v3WYXn755fYfBz2uc88910JYDR7vvPNOCzx1/+fmzZulqKgo9Ejti9ATAAAAAHoeDTSdOjrDgSjBJwAAaErkCNumgk/AzQg9EVVKSkps1Kx2Vn7yySe2N1M7LHWvpu7L1J2fOpZ21qxZFvDprkwNFlNSUqxLszkaXmZnZ8vWrVvlyy+/tNL7JiQkWGCqY3b1No1pCKojc3X/pwakOh539uzZMmPGjH2O6+WXX7b9nbp7VB9bn0e7R3Vkbkcg9AQAAAAAhEUGnpFF+AkAAPT32uGwM7IYY4vuhtATUaW+vt52b+qoW+2QzMvLs6BSA75wZWVlWVemjp3VPZnl5eV7d3E2x+fz2a5ODQU1XNUK31fDTt0vqrdpTENPPS7tAtX7aACqIWlTx1VQUGDHpc+jY21bOq4Dpc9J6AkAAAAAaNzl6VSEnwAA9EwabDoFnuFinC26E0JPwKUIPQEAAAAAYa0JPjMmXEn4CQBAD9JS4EmnJ7obQk/ApQg9AQAAAACRWhN8ahF8AgDQ/UXu73QqOjzRHRF6Ai5F6AkAAAAAcNLa8NOza33oHgAAoLvQMLO5wFOvA7orQk/ApQg9AQAAAADNaSn8BAAA3QvjbNHTEXoCLkXoCQAAAABoiQafusuzceDJiFsAALoX7fB0CjrDReCJnoDQE3ApQk8AAAAAQGtFdn02FXgShgIA4G5NdXqyvxM9BaEn4FKEngAAAACA/dVUqBkZihJ+AgDgXpHBp+7vJPBET0LoCbgUoScAAAAAoL1EBp7h0rG4hJ8AAEQnDTObCjQ17GScLXoiQk/ApQg9AQAAAADtoXGXZ+Mi+AQAILpEdnPSyQn8gNATcClCTwAAAABAe2gp9AwX4ScAAF2v8d5O7eoEEEToCbgUoScAAAAAoD0RfgIAEN004IwMPAk+gX0RegIuRegJAAAAAGhvGmjqLk+nsDOyCD4BAOg8OsLWKewMF6EnEEToCbgUoScAAAAAoKO0pusTAAB0vMbjbBuXXg8giNATcClCTwAAAABAR2sq/KTTEwCAjkfgCewfQk/ApQg9AQAAAACdJTL8bCrw1LG4hKEAALSPpvZ3hktH3gLYF6En4FKEngAAAACAzhQOPp20JhQFAAAt0zCzucCT/Z1A0wg9AZci9AQAAAAARAPPrvV7A8/IIvwEAGD/aejpFHZqMc4WaB6hJ+BShJ4AAAAAgGgQ2eXpVISfAADsH6fgk8ATaBmhJ+BShJ4AAAAAgK6mXZ66y9Mp7Iwsgk8AAPaPhpzhwJP9nUDrEHoCLkXoCQAAAACIFi11e4aL8BMAgB+E93c21cWpXyfwBFqP0BNwKUJPAAAAAEC0IfwEAKB1Go+wJdwE2o7QE3ApQk8AAAAAQLRqKfzUkbgAAPRUkaNrCT6B9kPoCbgUoScAAAAAIJo1F3zS6QkA6KmaCjy1dNQtgANH6Am4FKEnAAAAAMANGoefTQWeBKEAgO5OQ02nsFNLr6PTE2gbQk/ApQg9AQAAAABuEg4/nUQGo4SfAIDupvH+zsZFhyfQPgg9AZci9AQAAAAAuI1n1/rQuR/o18KBJ8EnAKC7aW6crZZeD6B9EHoCLkXoCQAAAADoDiK7PBsX4ScAwM0IPIHORegJuBShJwAAAADA7Zy6PJ2K8BMA4DYtBZ7s7wTaH6En4FKEngAAAACA7qK5bs9wZUy4kvATAOAqTmEn+zuBjkPoCbgUoScAAAAAoDtpTfCpRfAJAHAL7eaMDDwZZwt0LEJPwKUIPQEAAAAA3VFruz4BAIgmTY2rDY+5JfAEOh6hJ+BShJ4AAAAAgO6sufCTbk8AQDTRkbXNBZvs7wQ6B6En4FKEngAAAACA7k7DTe3qJPAEAEQjDTPDgScjbIGuR+gJuBShJwAAAACgp4js+nQSvp5AFADQWRrv64wsOjuBrkHoCbgUoScAAAAAoKfx7FofOveDyEA0XISfAICOFN7T2VTR7Ql0DUJPwKUIPQEAAAAAaHr3p47FJfwEALQ3Ak8gehF6Ai5F6AkAAAAA6OmaCjwji+ATANBeGu/vjCy9jrG2QNci9ARcitATAAAAAIDWBZ9ahJ8AgAPV3P5OLQ08AXQ9Qk/ApQg9AQAAAAD4AeEnAEQpv0/83gbx19eKr7ZafDWeYNWGyi5X2Xm9jfi8oTtGB8bZAu5B6Am4FKEnAAAAAAD70kBTd3k6hZ2R5dm1PnQPAEBH08DTV10pDSX5Up+XJnU5ycHKTQlUavB8VmLgNEUainPFX1cTumd0aC70JPAEoguhJ+BShJ4AAAAAADhrqeuTbk8A6AR+v/gb6sXnqZD6wiypSdklnt3rpWr76mDtWBuodXa+cutXUvX9GqlJ2iENZYWhB4geTrs82d8JRB9CT8ClCD0BAAAAAGieU/hZ9P5TwdGJPl+o9Hyo/IHLfn/o3gCAA2XdnZ4KaSjOk7rMBKmO2SQVG5dJ6cp3pWT5W1aln78jpV/MDl7+dKaUfva2VKxfKjVJ34u3vDj4mRzWxZ/PkTs92d8JRC9CT8ClCD0BAAAAAGiZ3+eVwnlT94aeDSV5wSrND1bgfMHbkyR9bC8pmDPZflEPAGgbHWerI2urtq+RslXzpXjJK1Iw93HJe32M5L5yb7Bm3B+o0XY+56VRkvvq/VIw+zEp+eQNqdjwiQWldRnxNvJWA1R/Q13oD1Q6LvzUcLOpUFOvY5wtEN0IPQGXIvQEAAAAAKAFfp/4aqulobRA8meOlbwZo6U6YatVTeJ2q9xX7tunE7Rw7pTQnQEAB0o7PKu2fSVFH06XnBfulMzJgyX94Ssk7YFLJPXeC4J1/0WBujhw/kJJved8Sb3vIkkf21syHx8SuM9dFpKWfTlPPHs2Sn1+ung95eKvrwt2fXaAyN2dhJuAOxF6Ai5F6AkAAAAAQNP0F+O+qnJpKMqR2tQ9tjuuYsNSKV/7oZSvWyTlX38k5d8skZS7/rVP6Bku9n4CwAHw+63LU/d3lix7U7KnjZCUO86WxOtOlYTBv5b4QcdJ/FW/DNbVvwrUsaHLxwQvB26TMOwUSbr5NEkbc5l1gpZ+OVeqY7dIfX6G+DT47ICO/MjAk+ATcC9CT8ClCD0BAAAAAD2W329ja/31teKr8dgv2H3VVdbVqZe95UVSn5tmnZxV21dL+dpFNi6xcMHTUjBvSqCmSuF7T0nG+H6OgWdkaeenPo8+X7C7iJ2fANBYcIdnudQXZtlnr37u5s98WNJGX2JhZ2yfwyS21yESo3X5QaE6OHA5UHoauqy3ie39c4nr/9+SeOMfJGNif8l/e5KUffW+ePZskPqCzGC3ZzsJj7NtHHiGS68H4B6EnoBLEXoCAAAAwL7KvpoveTMeCF1yH/3FMFrJ7xN/XY14y4ulviDD9sbVZSdJfV6a1OWmSk3SDqnc8rmUfDrLQk7tFMp+5mbJfHyoZDxytVXmY9dIyu3/kMRhpzqGnZFV8M6jFqhad1EH7pIDAFfy+WznZl1mglR+96WULH3NdndqYKkdm3EDjrYgUwPP2N4afIbCznAIahV5+WALSeOvOV6SR/5DMh69WvLeGCOln79jgap+/rcHDTSdgs5wNbXbE0D0IvQEXIrQEwAAAHCHcBCngZZTmKJf1+vdHNZFi/Br6Ub6PtH3A1pm3US1HvGWFdov2KtjN0vVtlXW0enZ9Y1U7fzaRtcWLXhGsp+91fbDpdx9jiTf+jdJGv4nSbzhd8G68Q/BuuH3knDN8T/6t+lUhfOm2i/3AQAB+kcg2nlfXycNJXniCXz+Fn34vGQ9eYPt6Uwa8SdJGHKCxPU/SmL7/iJQR0hcvyMDpafh8+H64Tq9rZ7XsbcJQ08Kjrp96HLrHK389gsLWNvKaZxtZDHaFnAnQk/ApQg9AQAAgOgVDjqdQpOWim6/AxMODd0aeoZDcTRD98TVVgfDzpxkqUnYbh1FZavmS8myWValX8wJ1GwpXPCs5Ey/XVLvu0gSr/+t/eI87sojJbbv4RJ7xaHB0lGLWhGX7ZfuEf8emyrPrvWhgwKAHkwDT69XfDVVUp+bKhXrlwb+Ozza/tBEuzT3+ezUQFNP+//f5it82/Dt9XTAUfZHKllTr5OyL+dJQ1F26AAODIEn0H0RegIuRegJAAAARKcDDTsbF52frRcOPN36ukV2AaMZPp80lORLddx31slZ8snrUvjuE5L3xkOS89LdkvPi3ZL76n2S+8p9kv30TZI25jLr7Iy/6hiJ7XN4cLSi7o277GfB2rtTLlB7L+teuYNbDD8JPQEgQEeNN9SJt7JMajPi7I9Qsp+7VZJG/Nn+kMR2dAY+f/cJMZ2Czsiyz1m9fbDzUz+7dc9n/KBjrXO/6IPnpDr+u8Bzlh7QyPHm9nfqdezwBNyN0BNwKUJPAAAAILpo8BYZXrVH0fXZOpGvu9tCz8jAVgtN89fVSm3aHin78l3bFZc55Vr7BXjq/RdLyt3nWmdR6qjzJPWe8yXljrMs8EwY/GvrEAqPS7TwM9zhaecbXw51fgZuHz/wmH1+NuEqfPfJ0BEBQA/n81oHfkNpgdQk77Cdm1lP3WgjxG1352U/s8/WvZ+h/bUcgs7GtfczNxh62h+jDDjaPt/1D130D19qknfaSF19/tZyCjrDxf5OoHsg9ARcitATAAAAiB6Ng6v2Ln18OGvcWeu20DPy2LXQWMS+uKIcG2db8M4jtttNRx3q+MT4q38lcQOPFt0ZZwGnhpV6eYBW4LLTL9SbKv05hLuRAvfX4DM4GveHn5Gvqix0bD8omv+0FQD0JLZj2VMu9fnp4tmzUYqXviaZU4ZK4nWnSkyvYGe97ed0+rxtTQU+c/UPUSz0DJxPvv1MyX72Fin++NXAfw9WWHepdny2VlNjbRlnC3QfhJ6ASxF6AgAAANGhowPPcBF8/pjTa++m0NOpMxgRQjs8G0rzpTY9Tqq2rZLij16WrCdvkKSbT7NfiFsnkf5iXcfSRo6t7XWIxF5xWPCX7TomUV/fxr9Mdyq9nY1hDI1VtF2fh0vCtadIysh/SNbjQ6UuO1n8Pm/oIIOBZ+TPkPATQE/hb6iXhrICqU3dLRWbl0vh+9MkY2J/SRhyYvCzuN1Cz4OsA18/+zMDn8MF7z0hZWs+kOqEbbbneX80Hm9L4Al0L4SegEsRegIAAABd70ACTw26IsvpNk0Vwee+nF4/t4SeTb138APr7izOk+rYLVK28j0pmDNZsp4abuMNE4aeFBxX2/uQ4L43HX/YSwPQ0OVQWKm/JN/7+jr9Qv1HFf5ZBIPPcKiq3aTaXVr43pNS9f0a62ryeSrsF/57Hz+iCD4B9AT++lqpz0sXz86vpfSL2TZ6VvcpJww+IfiZrDs92xx6BneD6mey7grNmDRQ8t+cYKN0PXs22K7npjS1nzMcfLK/E+h+CD0BlyL0BAAAALpea0NLDeKaCywbj2htqvT5ENTUa+aW0NPp2LUQoONsdU9cdaXUZSZI+ZoPJO+1B21/Z/Ktp0vCsFOCI21111uoIzPYzRlZode0tfvjnCpw/2CYerCNy9V9obmv3i+lX86zX7TX56VJ4dwpPzyXQxF+AujO/HU1UpsRLxUbP5WiD5+X7OkjJfXeC22fsv3xif4Rin5OO33GtqYCn6O2a7nXIXY+acSfJH3ClRauliybZWFrQ3Fu6Gh+oGFmONh0QtgJdF+EnoBLEXoCAAAAXas1gef+hpQd8ZjdUXMdtm4IPZv7OSPA5xN/Q514y4ulJnG7FH88QzInD5bEG34f/CV4uHvTxtCGAs7Gvyhvjwo8roWelx9k522X3NM3SdGiF6Vi0zKpTdtj3af2/C0U4SeA7khHkNemx0j51x/ZaNvsZ26WlHvOl/iI0NM+s50+Y1tTgc9PDT21a1TPJ930F+v0zHtzvJR89rZ4dmunZ17oaII00IwcX6vhJ4Ceg9ATcClCTwAAAKDrtGas7YGGk60JPnv6mFun1yRc0R56ttTVCxG/tyG4y7M4Vzx7NkrRgmcl/eErJH7QsdZ1aSNs9+nwDLx2Tr8sb2sFHje2d3CXnD5P0i2nB3fJzX1cylbNl+r4reItL7JjbrzX06kyJlxJ+AmgW/HXVUttRpxUbPhEihY+J9nP3WYjyOOvOT7UKR/6vHb6jG1NBT47wzs9bbztLX+VzKnDLGAtX7fY/jAm/DmsdD9nZOAZLvZ2Aj0HoSfgUoSeAAAAQNdpHGY0rrZ2Y7YUfLb18d2spdAw2kNPp2OOLIjtyfR5ym18bNX21VIwb6qkPXipxA08RmIu+1mw4yfc4anl9Ivy9qjAY9suOX2+wOWkm0+TjEeuDu2Smy2emE3SUFYYOurWBZ9aBJ8Augsdb1uXkyyVW1dK8dLXJfeVeyV19L8t9NTPznbZ6anh6aU/tcfRjvuc50dKyfI3pWrHWqnLTrb/XqimAs9wAegZ+NcOuBShJwAAANA1WurybK9AsqXg0w1jXNtbazpso/l1aelnqoXgL9E1TNSRiRWbPpX8tyZK6n0XSVz/oyTmsp8GQ0h9vZx+Qd6eFXgODT1tPGPgctLNfw2FnuOl9PN3xLNHQ8+C0FH/oDXhp2fX+tCtAcC9/PV1Ul+YZX8Eoh3w+W9PtM78hKEnhTo92y/01I77lLvPtX2e5d8skZrU3dJQmi+rvvx87/5Op9Lr2OEJ9ByEnoBLEXoCAAAAXaNxeNG42mv0bGeFq27i9Do0rmgNPVvqUA0XRHw1Vdbl6dmzQUq/nGedQyl3/cteH/3Fd+eGnofaL+31cvKtf5PMKcOk4N2pUrZ6oVQnbLO9o01pKvyk0xNAd6HjyL2VJVKXnSRV36+WosUvBncwX/ebYFh5oJ2eez8zjwx2jGroGfh66v0XS8G8x8Wzc500FGXLqhWfOwad4WKfJ9DzEHoCLkXoCQAAAHS+loLI9g7c6Pb8QWu6JLWi8TVpTYdquCDirSyVmpRdwR1xH06XrGkjJPn2M+z10b1u1nmpr1fjX5K3dwWew35pf9nP7HzyHWdJ9vTbpXjpazbKsTYzYe9YxaZowKm7PO14Q+WEzk8AruT3id/rtT9WqctJkfK1H0pO4HMyacSf9v7RyP6HnvpZeWRwjHm/I4KhZ+BzOH7gMZI+trcUL35RalP3yKQJ4x2DznCxxxPomQg9AZci9AQAAAA6X2Rw4VQdwel5wtVTuj33JzSMxtCztYGtFkS8ZYVSHbtZSlfMk/x3HpHMx66RpFtOt1+Gx/Y6xEbO2uv1o1+Ut3NFdhgFni/1nvMk740xUr5ukdQkbpeG4hzx1XpCR928cNenU5dnZEcoXaAA3MpfVyue3esl/60JknL3ORJ/1S+DgWf48zr0Ofejz9rGpbexwDO4u9keo98R1j2a+fiQwH8b5srEB+93DDrDReAJ9FyEnoBLEXoCAAAAnauzuzzD9HGdni9cPYHT991URVvo2dLPr3FBpKG0QDx7NkrJZ+9I3qzxkvHIVZJ082n2y/DY3l0Qemqn58CjJe2B/0jBvClStX2Vjd/VLk9/Q33oqA9c4/eAFuEnADeqy4iXkk9el6ypwyTljrMlYdgpofDziOCOZAtBNcwMBpo/VPhrgep3ZCjoPNLumzD0REm66S+SNuYy2+e5fMZTjkGnFvs7ARB6Ai5F6AkAAAB0rpbCKw1FO4rT84Ur2kK+9rY/XZJa0fR67E+HargQ7vTcYvs8tdMzQzs9b/6rvT62H+6KQ4Ovl1NQ2eYK/yyOlFgdqxh4vpjLfmq/eE8f10eKP3pJapJ3iM8T+P+9/b5A+UNHfWAiuzwbl47FJfwE4CYNpflStX114LPyZcl54U7bwRl/zfGy5z//R/Zc9D9lzyX/x/6YREeH62f5PqVfszokOBb3isPsvil3/dNC1ILAfw/Kvnrfxp87jbZlfycARegJuBShJwAAANC5nEKJcHX0mNnmgr/uPOL2QELDaAo99zew1YKIt6JEapJ2SPnXH0nh/Kcl68kbJPm2vwdenyM7fqenPm5oj5xW8BfzP5eEoSdJ5uTBNlaxviAzdKRtF/mzb6oIPgG4hb+2WhqKsqU67jv7w5XsZ2+VxBt+L3su/l+y65yfyO4L/6fEXHZQMPgMh5+Bsq76wOd7sA4OftbrSNsb/xD47B0iRR9Ml8rvvpTa9FjxlheJ39tgI2zDgSfjbAGEEXoCLkXoCQAAAHSelsK3juzyVC11mXZHBxJ4akVL6HkggacWxMbG1mUlSNW2r6Tk05nWLZRy5z8lbsBR9svw2N4d2Ompj2t75AI14GiJv+oYSRhyYuD5z5bcl0ZJxcZPxVtVFjrS9tFct2dkEX4CcAW/3z7Hq+O3SuH70yTtgcB/D+3z+yCJ7XOYfbbqyPC9pZcD19tnsH7uXv0r6/DUsFTHij/Q51xZ/uqT9gcnujc0ssteuzsJPAFEIvQEXIrQEwAAAOg8LYWOHR16KqfnDVc0dTe2lwMNDaPhtTjQwFYLIv66GtvrWZu6Ryo2fCL5b020EYlxA48J/tL8gDs9w69zsJNTd8ZZ9TncfhG/91THLAa+rr9017G6aQ9dLjnTb5fiJa9Kddy3dnwdgfATQHdSX5glFeuX2md45mPXWICZet+FknrP+faHLMkjz5Tk286wTn6r28+UlLvPsf/+63jv7GnD5ezfHLe3m3PVis9DjwwATSP0BFyK0BMAAADoPC0FcJ2huWPQ67qTtoSG0RB6Hmhgq4UAvy/wP17xVpVLTdL3thsufXw/iR90XHDP24GGnvYaHymxfY8IBpy9D7XxiuFRinvrsp/Z9YnX/1bSx/WV/DcnSNmX88Sze4P9El/HKnYUDTT1l/2R7wmnAoBo56uukrrsJPHsWCflqxdK8ZJXpGDOY5L76n029jbriesl8/GhNr42c8q1kvXUjdbZn//meFn62F3yr7/8fm/gqXX+eeeFHhkAmkboCbgUoScAAADQeZxCh3B1VsjWUrdpd9GWwFOrq0PPtgSeWtiXdnyWr/lAsqeNkKThfwqOQNTxs3tDzEBpB2fjgNOxwq9zZKfn4RJ7Rai7U7s8A1/T6+KvOc46jnJfuVfK134otelxtmvUXx8ardjBmuv6pNMTgCvoZ6XPJ/6GehsLXpsZL1Vbv5LSFXOkaPGLUvDuE5I/+1HJf+cRKZj7uBQueEZKPnldlr342D5hZ2TpOFsAaA6hJ+BShJ4AAABA52gphOuM0baqp4SeLYWGLV3flaFnawLblo4f+9JRsp6d6+wX4hkT+9sIRN2xGdf/qGBQGRpFa0FoeBdnuMJf2/v1wGscuF/8Vb+U+MG/loRrT5bE634TqN9aV2fijX+QpFv+Kil3nC1pYy6V7GdvkZKlr9leOp+na/5/bafw04ln1/rQOQCITv76OqnLSQ58Xn0jFZuWSdmaD6R05btS+uU8KVs1X8q//kgevvU6x7AzXOzvBNASQk/ApQg9AQAAgM4RLaGncnr+cHV1h2N7aCnY1VJOXw9XV74OTscTWXpsLX2P2Jff65W6rCSp2LBUCuc/LVnThtveNw06d1/4P61iLv2pjanVsbd7g1AdXRu4HGNfD5R1ch5uHZ8amuquztR7L5S0sb1thG36hCtt51z2M7dI3hsPSdHCZwP/tt+zkbYNRdl2HF0pHH46dXmGr9OxuHSBAohm3spSqctNldq0GKlJ3C7V8d/ZruTqhK0yftTtjkFnuFavXh16FABoGqEn4FKEngAAAJ1DAy0NKRp3Z+llra4MWNA5oimkcnr+cLn9vdiaLslwwOx0Xbi66nVoqYNTr1fR9H5yBZ/Puizr89LFs/MbKV70YnDn5YCjZPd5P7Hac8n/F9r1GQo+Q6Vfsx2dGnxecWjg9T1S4q85XpJuPk3SHrpcsqaNkNwZoyVv1jjJf3uSFL73pJQse1Mqt3wuNck7bX+n/oLeX9c5I21b0lQ3Z+P3EMEngGjlb6gTX02V+KrK7fPVW1EsXy1bKued8y/HoFNLR9oSeAJoLUJPwKUIPQEAAPZPc4FEOIyIpOFKSyFGuPR2ndnth861v++djhRNx9LemvvetCLDTKfrw9UVoWdrAtswQs/95Q+e+HzSUJpvgaTu2Uy+9W+B1+tI28MZN+Boib/62ED9KlhXaf1S4gYeI/Fag46zUba6EzTlzn9K+vi+kvP8HVIwb6oUL31NSj9/R0q/fNdGK3p2r5f6gozA83VtZ2drhbs8nYrwE0C00zDTKegMFzs8AewvQk/ApQg9AQAA9o/TL4TD1TgkaSmUcCpCz+7L6ecdrs4O2Lpr6Nmaf3ORnK4PV2f/TJTTcURW5DG19L2iaboPTkciln4xR3Jfvd/G0aaP7S1pD14qqfddJCl3n2uhZvIdZ1ml3Hm2fU3/bWRMHCDZT98kea89GOzoXP6mlH+zRKq2fSWenV+LZ89GqU7YZmMXfTWe0DNGP6f3UOMi/AQQjXQ/p1PQGS72dwI4EISegEsRegIAAOwfp18EhysykGip28yp3Bw2oWVOP/NwdXbA1h0Ds9Z0STb+owKn24Srs38mLX1mNP58IPRsA5/PRiHWpsdJ1fdrpXzth1L88atSMGeyhaDZz90uWU8Nl6wnrg/WtBHW0fnDjs73LeTU/XG1qXukLivRxubqGFvd26mdpDpy0e9tCD1h9NNA08b9OryXIovgE0C0aa7Lk8ATwIEi9ARcitATAACg9VoKVcKByoEEnlro3px+5uEi9Gw7p+8jspxeY6fbhaszfyYt/Ty0GuuOP8POExp1q/wagJZIbeouqdi83EbUFi16UQrff0oK5k6x0bWF85+W4iWvStnK96Rq+2qpy0kRX21EF6fPF3gYr5WNsw1cDu7ujHgel2huzG1kEX4CiCaNg0/2dwJoK0JPwKUIPQEAAFqvNaHngQaejTvQ0L20NjDvLN0tMGvp+2mqi9rptuHqzNDT6fkjy+n9QejZvrxVZVKbtkeqdqyVio2fSvnaRVK2aoGUrV5oOzp1B6hn9wapy04SX1116F7dV2vDTwDobE2FmeExt+zvBNAeCD0BlyL0BAAAaL2WQoaWgq2mqqlABt1HtIWe0XY8bdGaf3dNfT9Otw1XZ4WeLf2hRFOfD4Se7cvvrZeGsgLr4qxNj5Wa5J1Sk/i91CQFKmWX1GbES31+ungrSwI3dl8H54FqLvyk2xNAZwsHm02NraW7E0B7IfQEXIrQEwAAoPVaChmcSu/jFLjo18NhB7q/aAsZo+142sLp+COrufDS6fbhau5+7aU1nylNaem+2E86ora+Vnw1HvFVV4rPU257Oa08FcGv1XrE31Dfo0JP1VTwCQCdKRx4houAE0BHIvQEXIrQEwAAoPVa6siKrNYGJh0dLu3PMXdlNdXN1l0QenaMlt7fLb2vnO4Tro4OPVv6GWg193Mg9ERniww/nbo8w9fTAQqgvenI2sjAk+ATQEcj9ARcitATAACg9cK/7G2poikwIvSMDtEWMkbb8RyIlr4HrZa+D6f7hKujQ8+2BraEnugqnl3rQ+f21fg9SPgJoK001Gwq8NRqaswtALQVoSfgUoSeAAAArdf4F7pOFW1hEaFny1oTnrW2mtLSc3T2+ybajudAOB13ZLUmtHS6X7g6MvRsKbDUagmhJ6JJZBdoZBF8AjhQGng6BZ3hIvAE0JEIPQGXIvQEAABondYEY9HYrUjo2bLW/GxbW81xun24OjJgc+L20LOl93Vr309O9w1XR/1MWvN+a83rT+iJaOL0Howswk8A+6Px/s7GReAJoKMRegIuRegJAADQOq3pzIrGoIjQs2WtCaFaW81xun24Ojv0dHNg1l6hoXK6b7g66mfSXoEtoSeiSVOdno2L8BNAS1oKPNnjCaAzEHoCLkXoCQAA0DotBQydHVq1FqFnywg9f1zRqj0DT+V0/3B1xM+kvQJP5dafIbq31oSfGROuJPwE4Ki5/Z16HYEngM5C6Am4FKEnAABA67QUVuxP0NKZCD1b1lmhZ3M/i87+/t0amLX0ft7f19HpMcLV3qFnewe2hJ6IVnR9AjgQLQWeANCZCD0BlyL0BAAAaB2nX9hGFtyrJ4ae0XQsrdXeoaFyeoxwtXfo2dxrrrW/rzuhZzvx+0V8PvF7G8RfXyf+utpA1YQq8nyg6gOXvfXB+6BFLYWfhJ4AGnMKPtnfCaArEHoCLkXoCQAA0DpOv7ANV3uHI+h8Gpa1RzUnmkIqp+cPVzS+n/W1dTrWyGrp9Xfi9Djhas/Xob0DT0Xo2U78fgs7vVVl0lCSJ/X5GVKflxY4TQ+e19PA5brcVKkvzBJvZSmh535qKvwEgMZ0fC2BJ4BoQOgJuBShJwAAQMtaClwOJGxBzxMtIZUb388dERoqp8cKV3uFni293loH8poTerYDvy8YeFaWWrBZk/S9eHZvEM/Or8Wz6xvx7Amc371eqnauk6od66Q6drPU5aRY1yf2jwafussz/P506vLUr9H9CfQcTQWa+nUNPNnfCaArEXoCLkXoCQAA0DI3hkSITk7vn3C1Z2dhc9z2fm4p3NM6UE6PFa72+nk4PXZkHejzEHq2jb+hXnxV5dJQlCO1GXEWblZsWCplK9+V0i/mSOmXcwPn35NSuzxbSj9/R8pWL7TwU7s/9f7Yf80Fm5HvX8JPoPvSMDM8xpZOTgDRitATcClCTwAAgJYRLqC9OL1/wnWg3Yr7y03v55YCWq22hLROjxeu9gg9O6pDVfG51AZ+n3jLi6Q2dY9UbV0pZasWSPGSV6Vg3lTJmzVO8l4fI3kzxwbPz3o4ePm1ByX/7YlSvPglKV+32DpCa9Nj9468tZ2f3gZG3x4gDTmd3seEn0D3Eu7ijCyCTwDRiNATcClCTwAAgJY1Fy50VlCF7qG5EKyz3ktOzx2u9gj62lNHhobK6THD1dbXoqMDW0LPA6ddmnVZiVLx9UdSOG+q5Dx/h2Q+PlTSJ1wpaWMul7QH/iNpD14qaQ8FzocvByp97BWSOXlw4PYjJf/tSVLyyetS+e0XFn42lBWKr7Y6GHxivzm9h8OlY3EJPwH3cwo8w8UoWwDRhtATcClCTwAAgJY5/RI2XNEWEiG6dXVQ1VIQF03v55ZeK622cnrMcLX1tXB6zMhq6+N39XvJtUJdnrq3s/C9pyRj0gBJvu0MSbz+t5Jw7cmSMPjXEn/N8VYJg0/Y9/KQEyXxulMl6aY/S+o950vWkzdI0cJnpfK7FTYi14LPumq6PfeTZ9d6x/dw4yL4BNwrPM62qSL0BBBtCD0BlyL0BAAAaJnTL1/DFU0hkZOWOuWipTqryzEaOH3/4ero91NLQVlbOg/bU0d3SYY5PW642vKz6OgOVUXouX/89bXirSyT+vwMqY7dIqWfvS05z90mybefIfFXHSOxVxwqsb1/LjG9DpGYyw8OnGoFzocvB0qvt9v1/YWFoCmjzpWc6bdL8cevhjo+YwLPURJ6RuyvpkbcNi7CT8A9Ivd3OpVeR+AJIBoRegIuRegJAADQvJbCl2gJiZpC6Bl9mvuZdPTr4PSckRUtnI4tstorHHZ67HAd6HO0FEZqtQdCz9bTcbbeskKpSdklFRs+keJFL0ruS6NshG3isFMtxPwh5NSA86CI4DMYeAYvB6+PDZzqa5x4w+/tMTT4tI7PLZ/bjk+0DeEn0D1omOkUdIaLXZ4AohmhJ+BShJ4AAADNI/TsnOpJoWdLYVVHvadaei+3V5DYVq0JDbu6mnutnG4fbdVj6JhZn098NR6py062wLNg9qOS+dg1kjrqXEm88Q8SP+g4iet3pMT2PdzCz9h+RwRP+wZO9bxdDtXe634hcf3/27o9NfjUx8p68nopWTpDatP2hJ4cbaGBpu7ydHr/hovQE4heze3v1CLwBBDtCD0BlyL0BAAAaJ7bu6kIPaOT02sQro56LboqbN0fLQWz0VJNhZ5u+ffWY/h8wS7PylKpSdohJZ/OlKwnrpOkm0+T+Kt/JXH9/2+w+h0ZLH19wl9rqvQ2+9z2vyV+8PGSOuo8yX9rgnh2fRN4zrrQAbiVPxgY+332GorPG1EOlztwh2lzXZ8AolNLgSfjbAG4AaEn4FKEngAAAM1rLihyQ1BH6BmdWvq5tLeWwsRoef2dji0ayyn0bClUjqbqKfw+r/jqaqShJF+qYzZL0QfTJX1cX+vQjO19SHBHZ78jQiHmfoaegbKuz16BxwmcJo34s+0ILV+3yPaG+us1+AyFh27j99nx+6orxFteJA2l+YHXMC94Wlrww+VAecuLxVdbHbpjx2kcfjp1eerX6P4Eul5ToSf7OwG4CaEn4FKEngAAAM1rLpxqqtsrmhB6RqeWArL2fj1aeh9EQ5enW96rWo3/7bulQzVcPYV2eWpwV1+QIVU71krhe09K2oOXSfzAYyTmsp/Zjs69XZtaTiFn44p4HTXstB2fvX9uu0F1bG7xRy9bt2d9Xpp4q8rE720IHY1L+P3B7tiq8sDrlim1aTFSk7hNqhO22mlN0vfBy/HfWen1GoR2luaCzfDPRcfiEn4CXUsDzsaBJwC4CaEn4FKEngAAAM2L/AV34yL0bL/qaaGn6qwgsjWBXFdzW2jY+N++mwJbrZ7CX19rnYi1mfFSueVzyX/nEUm9/2KJG3D0D6GnviZO4WYrSrtE9TE09EwYcoKkPdRL8t+aKGWrF0p17GapL8wSf11N6Giinwa0vpoq8ZYV2g7U6tgt9rqVf71YytcuCpx+JOXffGyXy9Z8EPjah3Z9Tcou8Xm69ncIGnI2fp8TfAJdRzs6w4En+zsBuBGhJ+BShJ4AAADNa/xL1MiKhu44uFdL3Z5a7cHpcSMrGt7HTscVzRUZerbm5xht1VP4ajxSX5gp1fHfStnqBZI7Y7Sk3H2uvQYxl/40FHoe6RhotqaCoefBEnP5wRI/6FhJve9CyXn5Hin+5HWp3Pql1GUnia/WEzqa6KaBpwbEdZkJUr1no1RsWialX8yRokUvWIdswbypdlr4/rTg5bmPB742xa4vX/OBVMdskrqcFAtMfZ5yG3nr99Z3+M7PsMbv8cgi/AQ6jgaaTXVxavBJ4AnArQg9AZci9AQAAGhaS91nhJ5oq5Y6BNvaAdvRj98eNDTU4+iKcnpNIsvpPlqR//adru+McjreyHK6T7h6Ch0vW5sea92IOnY2+9lbJHnkP+z10U5P7dC018sh0GxVhTo9teKv/pWk3H2OPUfhwmelfP3HNvpVOyfdQDtSazPipWL9Uin68HnJm/mw5EwfKVlPXC8Zj10jGY9cbeN7MycPttOMR66yr+n1uS/fYwFoyaczpWLDJzYKV8Nm7f70N9QFg88O5Nm1fp/3flNF+Am0r8gRtoyvBdDdEHoCLkXoCQAA0LSWOriAtmopWNc6kJBKH1fv5/R4kdVewb3+W4kst3B6TcIV7d+HHp/TcYcLIt7yIqmO+zbwPn9fCuZMlszHh0jyrX+zwNLG0l5xaPD1ahxmtrb6HWnBqZZ2eqbc9S/Jemq4FLz7hI1+tbGv1ZWho4lu2qFZtX2VFAaOXUPN1HvOl+Tb/i5JN/1FEm/8gyTe8Lvg6fA//nD5ht/b9ckjz5TU+y8K3G+Q5M0cK2Ur37XuWh3vGww+60PP0nE00NRdno3/HTQugk+g7bSDs/HOTi26OgF0J4SegEsRegIAADSNUAGdoTXhpFZrA8rWBKla7RXqNXX87RWodiSn4w4Xoaf7NZQWiGfPRin57G3JmzXeuhOTbv6rBZYWVvY5LPh6NQ4zW1t7Q89DJX7QcdbpmfX0TTYCtnzdYqlN3S2+6ujt9LQdnrUee51qkr6X0s/ekezA8WswrJ2r2ska2/cXEnvFYRYQ22mfw+11C14OVOB6fR3ir/qlJA3/o2RM6Ge7U8vXLZLq+O+CHZ+dOOJXQ83G/xacivATODAabDYOOyNLA1EA6A4IPQGXIvQEAABoWnNh1IF03wFNaW3wqbdzCuM0YGwpBIus9nr/tnTc0R58Oh1zuAg93U+7Fz0xm2w3Zf7bEyXj0UHB0DPw+uguzrZ2egZ3eobG2w46TlLvvVByXholxR/PkMpvV0hdVmLU7vTU7kvthNXxv1Vbv5LS5W8F3lOjJe3B/0jC0BMt2Iy5/CDbV2qnl/0sdDlUevmyH663bterf2Vdn5lThkrB7EdDHZ/fibeyNPSsnac14SfBJ7B/Wgo86fQE0J0QegIuRegJAADQNKdfkoYr2gMRuI/T+6yjqj3CyNaErNH+78TpmMNF6Ol+3opiqUncbqNmC957UjKnDguOt73yyL1Bnb1eDoFmayq27xGhAPAgCz3Txlxu4Wr5mg9srG59Ybb462pDRxMl/H7bsaljd+syE6Ri/ce2jzN72nD7I4akEX+28DK27+H7dnbuLb0c+bUfbhc34ChJGHaq7U3NmNhf8t54SCq+WSINRTmhJ+98zYWfAFrPaZxtZNHhCaC7IfQEXIrQEwAAoGlOvyQNF6En2ltrx9K2tdqr+7K13anRzOl4w0Xo6X7eqjKpzYiTym+/kOKPX5Xs526TlDvOssCyfULPX4S6HQ+ShCEnSMbEAVL0wXSp+n611GUnibeypFP2We4Xvy/Y5VlWJNWxW6R48UuSOTm461S/Bx1Tq+GlBsNW/Vvx+ujt+ultA/cbeIztN7VRt5MGSvGSVyxc7UpOwadTl6dn1/rQOQBhTe3vDJdeR+AJoDsi9ARcitATAADAWUsBVLSP7YQ7dXTw2Z7vW0LPrkXo2TIdLVtflC3VCdus21M7D3UEbdzAo0XHsh5w6Bl6jYOhp459PVgSrj1FMqdcKyWfvSU1yTvEW14o/rqawEF4Q0cTDfyhPZ7V0hB4Xaq2r5aC2Y9J6v0XB7s7dUdnn8OCAWa/IwLf4/6EnoHb645T6xA91F7j1FHnScE7j4hn93rxVXf97xjC4WdTY23DP9emrgd6Gg0znYLOcGngqd3j+rmin3faQa5/bBIuX1V58HxlqZXPUyH+eu1+9wefAACiGKEn4FKEngAAAM5aCp+AjtTaQLG1pY/X3loK3bQ64nnbk9Mxh4vQ0/38Pq/9Ir6htECqYzZL0cLnJH1sbwv4Djj0tNc32NmoI10t9Ox1iCRe/zvJfvYWKf96sQWt+tzRxy/+hjrxecqlLjdVKrd8LnkzH5aUu/5l35N+L/aaaOip32NrX5vwaxIoDU2ti7bvLyT51tMl54U7pWz1QqlN22M7RINBsC90PNGjtd2gQE/RUuC5d3+njsvWP6QIfM7q54p219emxdi+4NqM+NDlPVbWAV9WGLgToSeA6EfoCbgUoScAAIAzAgV0tdaEiq2pjgrvWtOVGu3BodMxhyvaj53PqP1TX5glZSvflaypwyTx+t9YZ6IGcz+EdoFqHOY5ld7OOiGPlFh9jCsOs68n33aG5L32gHVPaodpVNKOrLoaCx1q02Ok/JuPJHfGaEm+46zAa3FEMPTULs3WvhYOpZ2eFij3OUwSb/yDZE4ZKkUfPm8jhjUIseDTG12BsI613fseaFQEn+jJNNh0CjxtnK1+njTUW3dnQ3Gu/fv27Pom8G99hVRu/sz+zVd+96WdVmxabqWjvzUE9dVUhZ4BAKIXoSfgUoSeAAAAzpoLFKK9ew3dS0vhVlOl9+voMczNBZ9u+HfidNzhIvTsXvSX7FVbV0rezLH23tRALv6a42x/pYafGtYFOxydX8+9FQo7NeDTjtGEoSdJ8i2nB/d5LnxWahK3h54xCvn9FlDUF2RIdexmKV0xV3KeH2kdmdaheelPg6FnoyBzf8q6X0P7UhOGnSrp4/tJ/tuTpGzle+LZs1HqC7PF742uPadOXZ6Ni/ATPVXkPs+9+zv9PvtMtbAzI06q92ySio2fSukXc2x/cvFHL9k+3+Klr9nlosUvWpUsf9PCz9rU3Xs7vzU4tdLu+MBnlBUARAFCT8ClCD0BAAAAd9CQS0sDG63Gv5TXr3VG0NmYPl9kABc+DiCa6M45Ha+o4Vv+m+Mk45GrJenmv1rH555///+sLKzTvZZWh1kQaKd6uffPQ6eHWOko18Trfyup918k2U/fJIXvPmG/9K/PTw89YxTy+8VbXiw1qbulYvNy68DMeuI6SRrxZ/s+93Z6OoSZrS3bcxoaHayBcNqDl0ruq/db+FG59Supz021gCPatCb41CL8RHelYaYFmg407LT9nSH6eVpfkGWdnfqZqp8l+W9PlNyX75Hs526V7GduluxnA6fP3R68HPiM1Mp54S77I4jij2dI+brF4tm5zsbgNpTkWYhqnw1ROP4aQM9E6Am4FKEnAAAAAKDb8/vEW1FsIxgrNy2XwnenStqYy0XDy93n/UR2n/sT2XOJBp8H247OWK3eP7fz9rXLDgqeXh447XWwxA08WlLuOFtypo+Ukk9nSdX3a2xfne7LjFqB16ChOEc8uzdI6Yo5kv/WROtQ1a7XvWFln+C43gMt65rV1+6Kwyz0TB39b9vrqaGIdnjpa6R7RaNVa8LPjAlXEn6iW4kcY9savhqPdbWXfDpTcl682z5H0gL/1lPuPleSR/5Dkm8/w05T7jjrh8uB0v3Beju9vYaiBXMfl/I1H9hj6WeTdqJHWyc4gJ6L0BNwKUJPAAAAAEC3Fxqb6K+vlfqCTCn/eonkPHe7JF7/O+twjPnPf9lo1h8FeRp0hXZ4xvU/ysLO+EHHWXdkxiNXSdEH06U6ZpM0lBUGHrsuuruU/D773qu2rbJOK+3ATB97hSTe8LvgflLtZnV6DfajLPQMPU7CtSe7LvRUre361F2ggNs13tsZ2dG5D/389Hkt8KzPS5eK9Usl7/UxknrfRZI47FSJv+qXEjfg6OC/j/CocPtc0H8vejlQA46y2yUMOUGSbvmrZEwaIAVzJgce62OpSd4RDD6jdScygB6H0BNwKUJPAAAAAEBP4qutlpqEbVL80cuS9eQNknr/xZJy5z+tc9O6km79m42+TbrpL6E6zfZ26vWp910o6eP6Sva04dalFBxpmxHcRxftGoeeM0ZL+tjeFvxap6d2aLZD6KmdsDomN+HaUyTtocsDz/OAlHz6hj1vfV5aVI63ddJc+KndnoDbRe7rjCwNQvfh8wX3ARdmSU3SjsDn3jIpfH+aZD52jSQN/4OFnPrv3kq74fUPSaw7PlR2OVDWSR/8fNCdyNoJmvXUDVI4f5qUr1tkHZ86ghsAogGhJ+BShJ4AAAAAgB7F57UdctVx39ov2os/ftW6jXJn3G8jFzOnDpOMRwdJxqSBgbpKMh67RrKeuF5ynr9D8t+aIMWLX5Ly1QvFs2Ot1GUlis/jkv//WcfbFmWLZ+fXUvLZ25I3a5ykj+8X7PTsc7iFE20eb6uPo7tBex1i3V86xrJg3hR7navjt0pDca7tA3QTp/DTabwtnZ9wC93d2VTgqbVPt6d2eNbVBHd46mfHslmSN/NhyZw8WFLuPNu6Nvd2eP+oQvuQwxWxH1k/LxKv+42k3nOeZE4Zars+teNT/4gEAKIBoSfgUoSeAAAAAIAeRX+J722wUbe+qnIb1ejZs9F2yxUveUUK33vSfgGvoWD+m+Mlf/ajUrjgGdtfp52dNck7paG0QPy11cEAL5pH2kYKfN963NUJW6V87SIpePcJCy6Shv/xh9DziraGnodJzKU/ta7RxBt+L1lPXCfFS2dI1c51UpeTLN6qUnd0xTaiIad2dzYVeKrmrgOihQaeTkFnuPbp8rTPSq99Ttam7pbSFXNtXLV2xyeN+JMFnjbWVkfX9jsieBrxxwGOZePCA7cNfF5ot2fC0BOtk17HhRcvfjHwPHtCTw4AXYvQE3ApQk8AAAAAQE+nOzmrE7dJ5ZbPpWzNB/bLfe2GLP38HSld+a6Uf/2RjWetTYuxMY+u5PeLt7JU6rISpGr7ain55HXJfuZmG+erIYSOnmx7p+dhwU7PKw610cA502+XslXvS03qbnuNfXXVgeNwSUjsoKlQU78eGewQfiIaNd7f2bh+PNbWa38cYp+PsZttN6+G/wnDTrHwUjs8g0HmEcEwU887fC7sU5G3D5zqH1xocJpy1z8lf9Y48excx15PAFGB0BNwKUJPAAAAAEBP52+ok4aiHKlNj5WaxG1SHbNZPLs3WAdodewWqUneYaNs9Zf/Gh66k98CjHDwqV2rea+PsX2m2qF1wJ2eFvRp4HGkhZ3a6amnGqbq3tDKb78IjrXVXZ762rn29XOmY22Dr8GPi/AT0aK5cbZa2gHamHay+2qqpL4wW6p2rJWCeVMl7YFLJH7gMcHPi96HRASegeofeN87fUZElv7bsMAz8HlhHeb6xxaHW+do9nO3SdnqBfb55POUhz4z3PtHEgDcjdATcClCTwAAAABAj+fzWXeRt6pMvOVF0lBWYKNgtbxlheKtKAn+Er6upluEdvp91CR9L0ULnpG0B/9jYyZt116fw38IJrQaBxZOpWFHKPiwEKPXIfb1lLvPlYLZj1lo7K+vCz1z99O4y7NxaWcc4Se6Smv2dzoFnkr/GERHUutoav3jhfx3JknqvRfav2/r6A58ZgT/4CHwXm9N4Bmu0L8N7RSN6XWw/ZGE7vfMfGyQFH0wXSq3rpTajLjAZ3Gx+L31oaMBgM5F6Am4FKEnAAAAAAA9T0NRto3xzXriekm+5a8Sf81xEjfwGInrf9TeTqzWdW6Fbxu438CjJX7QsbYnNGPSANuRWpcZH3rG7qml0DNcBJ/oCs3t8NTAszk6jrqhJE9qUnbZiG/rDL/7HPv3bh3dFnoG3t9OnwutqL2hZ+9DJGHIiZI2tpftUS776j3x7Nkg9QWZ1p0OAF2B0BNwKUJPAAAAAAB6Hu1crfp+jRS+P02ynrxBUu85XxKuPTnYrXnpf+3dzamXY/tq/eKH0q+FS2+jY3EHHCWJ1/9WUkadK5mPD5H8tydJxYZPpKE4J/SM3RvhJ6KV0y7PH+3vdODzVEhddrJU7VgnJcvflJznR0ry7WcGw8p2DD21Ozz+muMl9f6LJeelUVL88Qyp/G5F4LmTgt31ANAFCD2BTuJv5zE6hJ4AAAAAAPQ82kFVn5sqVdtXS8mnb0jO9Nsl+ba/W9i5+9yfyO4L/kcw/Lw8GEpoN5aGHHrevnb5QcHTwO0ttLj6V9YFlvPcbVL80ctSufkz25GqwUlP0trwU3eBAp0lMvhsTeCpdNR3TeJ2KV+3WArff0oypw6TpJv/KjrOOrgD+NDg+9kh0GxNxQYeJ9Y+W34eDD3vOV+yn71VChc+KxXrlwY/P2qrQ0cDAJ2L0BNwKUJPAAAAAAB6IJ9P/HW1trO0JmGbFC9+SdIfvkJ0XO3uC/8f2XPx/wqGneGOTuv2jOzuDFSoA9S6PG/8g2Q+do0UL3pRPHs2SkNRjvhqqsTvbQg9Yc+hwafu8mwcdIZLrwM6QnM7OjXsbOo6Jw0l+eLZvV5KPntb8maNk4xJAyVpxJ/tPWxhZZ/Dgu9ph0CzVaWhZ++f22dJ/DW/lpRR50n2Mzdb97mO061Ni7FdywDQFQg9gRZoh2Ztba2Ul5dLQUGBZGdnS1pamiQnJ0tCQoLEx8fbaVJSkn09JydHioqKLHzU+7V3h2cYoScAAAAAAD1bQ2mBVG5aLnmvPSCp915gAWbidb8Jnt7wextba5eHnSoJodKvaQCi3aHaoZXxyNVS8M4jgcdZJvWFWeL3eUOP3nM11fXJiFu0t8a7O/cn3GyK7vP07PxaSpbNkrw3HpL0Cf0D/+b/ZO/h9gg9rdNTQ8/eh0r84F8HPnsutBG6RR++IBUbl0ltZjydngC6DKEn0AKv1yv5+fny/fffy4oVKyxYfP311+XZZ5+VqVOnymOPPSaPP/64TJs2zb6+ePFi+frrryUmJsZC0oaGjvnLSEJPAAAAAAB6Nt2bV5seJxXfLJGihc9awKHjbrOeuE4yHrlK0sf1kbSHLpe0By+TtDGXSfrY3pIxcYBdn/vSKCmYM1lKPnnjh5G21ZWhR4aKDD+bCjwJQ3GgnHZ2asdnWzWU5lvXdukXcyT/rYn2WaB/6KBhpY62bvN4W93paeOzD5aEwb8OfL5cap89+nwattbnpdsYbgDoCoSeQAuqq6stwNQw8+mnn5ZRo0bJoEGDLGw866yz5PTTT5e///3v9n+U6NfHjBkjr732mnz22WcSGxsrHk/HjHMg9AQAAAAAoGfze73iq66ycZZ1mQni2b1BytctkuIlr0jB3Mcl742xkvvKfZLz0ijJffleyXt9jOTPflSKFr0g5Ws+EM+eDVKXnWSjcnvqSNvWaCrUjAxFdfQt4SdayynwDFdbg88fdnouCu70nKI7PU8Lhp6XtcNOTw09dSfw5QdJwpATA+/9/vY8FZuXS03qbutA9zfUh44GADoXoSfQDO3SzM3NlXXr1smrr74q99xzj1x11VVy3nnnyZ///Gc56aST5Nhjj5Xjjz9efvvb38o555wjQ4YMkYcfflhmzpxp99P7dwRCTwAAAAAAEEk7PzXErNq+SsrWfCAly9+S4iWvStHilywI1XGXZavmS+W3X0ht6h7xefgdwoGKDDwji+ATLdFQ0ynsDFdbR9x6q8psxGzVtq+k+JPXJXv67ZI88h8WWLZbp6eGnr0OsdHZmVOulZLA81THbpb6wkzxVVfYH2QAQFcg9AQc1NTUSGFhoe3q/Oabb+Tdd9+1EbZ33nmn3HjjjXLddddZXXvttXLNNddY4Khdnnp+2LBhcuutt8qkSZPsflu3brXxuNoxqiFqe+34JPQEAAAAAACNeavKreuzOu5bqdqxTiq3rpTKb1dI5XdfStX3ayyYqE2LkYaywtA9cCCaCj3DRfiJxjTMbC7wbI/Rtkr/+EG7LfXfecX6pZI3a5zt740bcJR1Z+ouTnufOgSaTVbEezu2z+E/hJ43/E6yn7lFylYvsD+40BHZ1jHu94WOBgA6F6En4KC0tFR27Nghn3zyicyaNUueeuop69584IEHbPyEdn1++OGH8umnn1rp6Nt58+bZnk8df6vB5y233CJPPPGEfPTRRxZ8pqenS3l5ufh87fMffUJPAAAAAADQmL+hTryVJdJQnCv1BZlSn5cmdbmpUq+VnxH4eo54y4stGMGBayn0DBfhJ5QGnk5BZ7j0943txx/4H791cuuY26IPn5f0sb0k/upf2R5O6/TsH3h/OoWbTZW+n/sdaWWhp4anfQ6zsbm5r9wrld+tCHzulIaeHwC6DqEn4EA7M9euXWsjaqdMmSLjx4+3mjp1qsyePVu2bNkixcXFewPM2tpaycrKki+++MI6QnXErXZ+6jjcV155xYLRbdu2SV5ennjbabwDoScAAAAAAPgRnTDl84nf57URk9p1tU8Fvq7X2+3QJhpo6i7PxkFn4yL47Nma29+p1b6B5770jx/Kvnpfsp68XpKG/1HiBh4dfF/2Pyr0/jwycF4vOwSdkaW31dAz9J7WShj8a0m970IpmPOYVMdtCXym0N0JoOsRegIOdLTtxo0b5b333pOXX35Znn/+eTvVwHPlypWSkZERuuUPNADdvn27vPTSS3LTTTfJ4MGDZeTIkdbtOXfuXAtR9X464rY9EHoCAAAAAAB0Pbo+0ZSWAs+27u9sia+mSqq2r5aCOZMlY9JASR55piQMPUk06IztfUigfm6dm7H9jpA4q2A3p57Xr+2tvr8I1OEWgCYMPkGSbvqLpI3+t2Q/d5uUfva2jdQGgGhA6Ak4qKyslJSUFOvo1P/j46uvvrLQcvPmzbbnU8fUOtHrdI+njsK94447rNPz0UcftXG4y5cvl6SkJKmvrw/dum0IPQEAAAAAAKJHS+EnoWfP09RYW93f2dGBp/I31EtdVqJUbPxUihY+J9nTRkjybWdI7BWHye4L/ofsvvB/SsylP7X9nBaARpR+Tcfh2unlB9l5DT018Mx45CrJf3O8BZ6e3RukoTQ/9IwA0LUIPQEHOoK2urpaysrKbIxtUVGRnequz6qqqia7NVNTU20P6HPPPScTJkyQsWPHyqRJk2T69Om22zM+Pp7QEwAAAAAAoBtrKvwk9OyZGgefGnh2Gp9XfNWVtt/Xs2ejFC16QdLH9bH34+7zfiK7z/+JxPznvyQ2HHpecWiwIkJP+7pe3+cwG2mb9sAlkv/WBKlYv1Rq0/ZIQ2kBO4IBRA1CT6Cd+P1+Cz2XLVsmL7zwgnV4avA5efJkCyc//vhj6wQl9AQAAAAAAOjeGgefTQWeBKHdS1Pdm+Extx25v7NZfr91Y1ZsWia5L98rybefIfEDj7HOzfhBx1qYGX/N8cEadFywrj7WThOGnCgJw06RpBF/ktR7L5AcHWn7xRypTYsVX40n9AQAEB0IPYEIGly2hY6vXbhwoQWeo0ePlnHjxsmzzz4rc+bMsf+jJz09nZ2eAAAAAAAAPUQ4/HQSGYwSfrpfS8FmZ4yzbY6/vlZqU3dL2cp3JW/mw5L11I2251M7P9MevFRS77tIUkadJyl3nxOoc+186v0XS/rDV0jm5MGSM32k5L89yUbaVu/ZKN6yotAjA0D0IPQE2tGuXbvktddek5EjR8qIESNst+esWbPk888/lx07dkh+fr6Nzm0PhJ4AAAAAAADuFBl4RhbhpzvpyNrIEbZdHXA68fu84q0slbrsJAstKzZ8IiXL35TCd5+QvDcekpwX75LsZ26RrGkjJOvpmyT7udsk95V7Jf+dSVK85BUp//oj8ezZIHWZ8Yy0BRC1CD2BdlJSUiJr166VKVOmyJAhQ6x0vO0HH3wgW7dulYyMDAskfT5f6B5tQ+gJAAAAAADgThkTrnQMPbUIPt2j8b7OyIrG4DOSr6rcdnJWbvlMSlfMsWCzcMEzUvjeU1L4/jQp+vB5Kfl0ppSv/cDCzvrCLPF722eCHQB0FEJPYD/V1dVJeXm55ObmSkpKiuzZs0e2bNkiX3zxhXV53nPPPTJo0CAZPny4PP300/LVV19JWlqalJWV2X3bOkI3LBx6XnTRRRZ66nN++OGHUlPDX1kBAAAAAABEK8+u9Y5hZ+Mi/Ixu4XG2TVWX7e/cD96qMqlNixHPzq+lcsvnUv7NEilftyhQi6Viw6dSte0rqY77Vurz0wk8uwu/37p+tVPXV11p3b/eypLQaagqApe1Au8PX221tgmH7gxEP0JPYD9peBkfHy9r1qyxzsoXXnjBdnfecccdct1111n4OHToULn//vtl9uzZNvK2srIydO/2o6GnPreGnqeeeqp1li5dujR07YFpr0AWAAAAAAAAzWtqxG3jIvyMPt0h8FT+hnppKCuU+rw0qc1MsM7PmpTdtvuzNj1W6rKTrcPT5ykP3QOu5/NZ4OktLwr+3AM/59rUPfazt/N2eXfgfbBLajPipKE4194ngFsQegL7Sfdyrl+/3gLNRx99VIYNGybnnnuu/PnPf5a//e1vcumll1qX5+OPP24hZGpqaruNtI0U2empoefgwYNlyZIlHfJcAAAAAAAA6BitCT91HC7hZ3RovL+zcUX7WNt9aADWUBfs+qv1iK+mSnzVgdLTmsDl2mrx19eGujxplnA17fBsqLefb0NJvgWant0bpPLbL6Ri0zKp2LxcKrd8YR2/FRsDlzd8IpXfrZCapO/FW1EcehAg+hF6AvspLy/PQs933nnH/mpLQ8/zzjtPTjvtNDnrrLOkb9++1vX51FNPWQip429LS0ulvj7wHxX9PyTacbztyy+/LP/+97/l5JNPlj59+sjrr78uSUlJUlVVZVVYWGjHq6N4w1VQUCDFxcU2otfj8djIXa/XG3pUAAAAAAAAdLbWBJ+Enl1Lw8zmAk+9DohWGmA3lORZ2Fkds8mCztIVc22Xa9GiF6Ro8Yt2vvijl22fa9EH06X44xk27lhHHDcUZds4XAvB6+uCQbiOvWVyIKIMoSewnzTAjI2NlVWrVsn8+fOt23LixIly3333yV133SWjRo2SMWPGWKfnG2+8Yd2emzZtksTERAsbNfxsD1lZWbZDtFevXnLSSSfJmWeeKbfeequNvNUuVA1lZ86caUHojBkz5JVXXrHbz5kzRz7++GNZt26d7Ny508LTjhi/CwAAAAAAgP3TXPipu0DRNTTwdAo6w+WWcbboofx+6+6sjtksZavmW6iZ//ZEyX35Hsl+9hbJmjZcsp4eIdnP3BKom4OXn7pRsp+7VfLeeEiKPnhOyla+t7fzs74g00Yea5ew+LSZhuAT0YPQE9hP2hmpwWd2drYkJydbALpjxw7ZsGGDhYkaMGrgOWHCBJk0aZI8+eSTFjwuX77cdoFWV1eHHqlt9PnffPNN6devn5x44oly/PHHy+mnny6XXHKJBaFal19+uVx22WXWDXrhhRfKf/7zH7nmmmts36iGtYsXL5atW7fayF72eQIAAAAAAESHxuFnU12edH92juY6PAk8Ee20O1N3dZZ9OU9yX71fMiYNlNTR/5aUu8+R5JFnSvKtf5Pk2/4uybcHzmvdGjivXxv5D0m95wJJf/gKyXriesmfNU5Kv3hHPHs2Sn1BhnjDwSe/V0YUIfQE2lFGRoZ88cUX1lWpgec999wjI0eOlAceeMC6LLXjs6ysLHTrttHQ8+2335YBAwbICSecIEceeaT88pe/lFNOOeVHpdcfe+yx1hGqI3h1/6eGsnr/r7/+WnJycgg9AQAAAAAAoogGmrrLU0NPJ+FglOCzczgFn67a34mexe8Xv9drY23rC7Ok6ruVUjD7UUl/6HJJvP63En/VLyVuwFH2GRLb7wiJ63fk3j+yiAtctq/1/78SN/BoiR90nCTe+AdJC9w3740xUvbVe1Idt0Xq8zPE56kIPJcv9KRA1yP0BFqpNaGg7tH8/vvvZdGiRTZmdvTo0XLjjTfKiBEj5IknnpAvv/zS9mq2x4hbDT1nzZq1t9NTg00dcdu7d2+58sorrfQ63TGqXZ+XXnqpXHHFFXLdddfJQw89ZMGsdqZu27bN9nwCAAAAAAAg+jiNtQ0HnpFF+NmxIkfcagBK4Imo5feLr8YjDUU5UpO8Uyq3fG57O7OevEGSbz3dwsyYXodIzOUHB+ogibnsZ8HS8/tc1usPltjeh1hAmnTzaZLx6NWS/84kKf1ynnV8NhTnhp4UiA6EnkA70tG3uiNz8+bN8sEHH8hjjz0mN9xwgwwZMkTGjRsnS5YssZG4FRUVFnz6fAf+VzDhnZ46wlY7OM8++2zbKap7RBcuXGg1b9482+Gp+z3feust2/WpX//ss89k48aNsmfPHgtPNawFAAAAAACAOzQOPCOL8LNtNMzUUNOJjrJt6jogWvjr66ShJE+qYzZJ6eezJf/N8ZI1ZZikjDpXEq49OdjJ2fvnwbri0H3PN74cOq/3SRh6oo28zZjYX3JnjLZxubUZcaFnBaIDoSfQjjT01PG1qampsnbtWpk+fbp1eV599dXW9Tl//nyJiYmRoqIiqampEa9XFz0fGA1XX3rpJdvXqSNstatTd3ymp6dboKpVXl4uxcXF+5TuI9Wva9Cpx9DW8BUAAAAAAACdRzs/ncLOyNKxuISf+09DzXA3J7s64To60tbnFV91ldRlJUn52kWS99oDkvbgpZJ0018kYciJEn/1r4KfEzq+9sqIkbZNVuA2Nur2v20kbsLgX0vS8D/amNyCuY9L9Z6NIvxuGVGE0BNoRw0NDVJdXS15eXm2v/PFF1+08bb9+/e3/Z7vvfeedVe2V+ipj3/RRRfJqaeeans6dVwtuzkBAAAAAAC6N6fxtk5F8Nl6kYEnwSdcyecTf0OdeCtKbKxtybJZkjXlWkm88ff2eRDb9/DAqYaYodLPCd3b2VzpbcK3D1Rsn8BjBL6edMtfJeeFu6Ri46fiLS8OHQDQ9Qg9gQhtDQw19PR4PJKTkyMbNmyQ559/3nZoahemhp4LFiyQhIQE6wZta4dl49BTR+guXbo0dO2BITAFAAAAAABwD8LP9qEjaxsHnuFidyfcwu/1iq+2WhpK8qU67lspXvySZEzoL/GDfx3cz9nrYInt+4tQ4LkfoWcoKNX76i5QHXebMOwUyXx8qJR8OlNqkneIt7xI/PW1Ir4Db/IB2gOhJxChraFfbW2tlJSU2N7Or776SqZNmybDhg2TK6+8Uh544AH56KOPbPysdnnqc7Xl+SJDTx1vO2jQIPnwww+t0xQAAAAAAAA9R2vCT4LPHwvv73QKO7XY3wk38TfUi89TLvX56eLZ+bUULnhG0h++QuIHHSsxlx1koWdwrG3gM6G/lkPI6VThz5HAfS30DJSOudXHLpgz2bo9a1J22h5RCz6BLkToCTRBuzB1/KyWdnCGz+vXncJK/VplZaVkZWXJ9u3bbdTs448/Ltdff71cc801Mn78eFm+fLmNvm3LWNuwcOh58cUXW+ipe0O1k7SioiJ0CwAAAAAAAPQUGmrqLs+9AUWjwr6cxtlGFqNt4TYaOHrLCqU2I1Yqt3wmBXMek7QH/yPxA4+RmMt+at2e1uXpFGy2pgL31dBTH0d3g6bed6HkvnKvlCx/S6q2r5a6nGTx1XhCRwN0DUJPwIF2bObn51vHZkxMjOzevVtiY2MlKSlJcnNzm+ymLC0tlV27dlm4OXPmTBk3bpyMGDFCbrrpJnnqqadkzZo11gnaHgg9AQAAAAAA0JhT1yddnvsi8ER35Kupkvq8dPHs2SClK9+V3BmjJfWe8yVuwFHB0NM6Pdsn9IwbeIyk3PUvyX7mFin6YLpUbFgqtWl7xFfN76bRtQg9AQcaXu7YsUOWLVsm77//vsydO1fmz58vn3zyiWzZskUKCgpCt9yXBqKrVq2S1157TR599FHb43nHHXfYaNvXX39dvv32W6mqqgrdum0IPQEAAAAAANCUyPDTSfj6nhaINjfOVosdnnArb1W51KbukYoNn0jRh89L9jM3S8odZ0vcgKMtqNRdnLaf0ynQbE3pXs/AY2jwGX/VMZI88izJeuJ6KZg3VcpWL5SapO/FFzgGoCsRegIOtMtz7dq1MmvWLHnyySctwNRRtS+88IIsWrTIuj915G0kHVmr3aAakk6aNEnuvvtuueuuu2TMmDHW5an7NvX6urq60D3ahtATAAAAAAAALfHsWh8694PG3aA6FrcnhJ8t7e8k8ISbeStKpDr+Oylb+Z6Nts2ccq0k33aGxA082sLK2CsODf6bdwo0W1NXHmmPoY8Vf9WvLPTMnDrM9nqWfTVfahK3W/AKdCVCT8BBYWGhbNy4UebNmyfPPfecjbQYO3as7eV8/vnnbV/ntm3bbPxtWlqaJCYm7t3j+fTTT1vgOXLkSAs8n332WXucdevWWVDZHvs8FaEnAAAAAAAADkRk4BlZ3T34bGqsLeNs0R14K4qlOu5bKf1ynuS/84hkTh4iybf93To9Y3sf0vbQM9TpqY8Vf9UvJeXOf0rWtBFSOH+alK9bLDUpO8Xn4XfT6FqEnoCDyspKSUlJseBzyZIlMmPGDJk4caKMGjXKAk0NM7X7c8qUKVaTJ0+27s7Ro0fLrbfeKsOHD7fbaQCqnaGbNm2yxysrKxO/3x96lrYh9AQAAAAAAMD+atzl6VTdOfxs3O1J4InuwltZat2WOmpWR85mTr0u2OmpOz3babxtcKfnQRZ66r7QnJdHScmymVK17Supy06yvaJAVyL0BBxoN2Ztba2UlJRIfHy8LF++3Do277zzThk0aJBceumlcu6558qZZ54pp59+uvztb3+Ts846Sy644ALp3bu3XH/99TJu3Djr8Ny6dauNy62pqbHHJfQEAAAAAABAV2pN8KnVXcPPcODJOFt0J7pPszYtRio2LZOixS9K9rO3hnZ6auh5kHVoti30PMIeJ+ayn9l427QHL5X8tydJ+TdLbJ9nQ3Gu+OtqQkcDdA1CT6AF5eXl8t1338ns2bPl4YcflmHDhlnQeNppp8nJJ58sxx9/vJxwwgny+9//Xv71r3/JgAEDrCNUx+CuWLFCsrKy2i3ojEToCQAAAAAAgAOlgabu8nQKOyPLjcGnhpna0anlRK8n8ER3o12Wdbmp4tn1jZSumCu5M0ZL6r0XWldmTK/26PTU0PPgYKfnNccHdwF/8Jx4dn4t9Xlpts/T760PHQ3QNQg9gRY0NDRIamqqrFmzRubMmSPPPPOMjbfVMbbXXXedDBkyRK699loZMWKE3HvvvfL444/LzJkz5dNPP5Vdu3ZZaNoRCD0BAAAAAADQVq3t+vTsWh+6R3TTMDNyfG1TwSfQ3fjr68RbWWJjZnXcbOF7T0r62N4SP+hYCytjex1Ip+cPnwGxfX8R7PQMVMKQEyVz8mApWf6mdZf6PBp4NgQOwhc6GqBrEHoCLfD5fBZcZmRkyJ49e2TLli0WgH7xxReybNky+eSTTyzg/Oyzz2TVqlW2B3THjh2SnJwshYWFUldXF3qk9kXoCQAAAAAAgPbSUvjpBrqfMzLwDBd7O9GT6IjZuqxEKf38bQsmE4aeZF2ewU7PwL/ncJj5o4DTofT2/Y60CoaewY7RxOt/K9lP3yTl6xZJQ0le6JmBrkfoCbSCjqfV8FN3cmrnp1Z9fb1j6XV6Oy29T0eMtlWEngAAAAAAAGhvTuGnG0bcNhV4hotxtuhJfJ4Kqdz8meS+NEqSbz9D4q8+NhRkHhX6d31k8LRxyNm49DYaeu7tEP1viR90nKTcebbkvf6gVG1bxR5PRBVCT8ClCD0BAAAAAADQERoHn070NtEShuoIW6egU0uvI/BEj+PzSk3CVila9IJkPXG9pI46z7oz4wYcJbG9Dwnu+LziMInte4TE9jvC9nWGSy9rV+fe0z6HW+ipezyTRvxZUu+7SLKnjZDiJa9KTdL32jEUelKg6xF6Ai5F6AkAAAAAAICO1FSw2TgU7arwU8PMlgJPoKeqL8iUqu2rpWTp69bxmXrP+dapufvC/0d2X/A/ZM8l/18w/Ox1yN7xt1oxgcs6xjZ4GtzhqWFo4g2/l/RxfSXv9TFSsmyWeHaslfrCrNCzAdGB0BNwKUJPAAAAAAAAdIXIwDOyOjP8bGmcLXs80aP5/TZ2tqG0wLoxSz+fLVlTr5OEwb+W3Rf8P7L7vJ9Y6Lk37Lzi0B8q3Am697rDJH7QsdYtmjfjASlf84HUJO8MPHa++Gqr6fREVCH0BFyK0BMAAAAAAACdrXGXZ+PqjOCTwBNoPW9VmXh2fiMFsx+V1HsvlPhrfi1xA4623ZwJQ06UhMEnSPzgX9v4WqvA1/U0YeiJknjdqZI0/E+SOupcyXrqRilZ+prUJG63naFANCL0BFyK0BMAAAAAAACdraXQM1wdFX7qSFunoDNc7O8E9uX3eaUuN1Uq1i+VgnlTJGf67ZL5+FDJmDhA0sf2lrTRl1gYmnLP+YE6L3D+Akkd/W9Jf/gKyZw8xG6f//ZEKVk200baNhTl6IOGHh2ILoSegEsRegIAAAAAAKCrdGX46dTpqfs7CTwBB36/+KorbcendmlWbV0pZSvfk6IPpkv+WxMk95V7JXv6SMl+5pZgBc7nvnKf5L89SYo/elnK1y0Wz+4NUpcR/8NIWyBKEXoCLkXoCQAAAAAAgK7WmvAzY8KV4tm1PnSP9qEhZzjwZJwt0Hq667MuJ1mqtq+WslXzpfiT1y0ALQz8W9Yq+vB5Kfn0DSlbvUCqdq6T+rw08dfXhe4NRDdCT8ClCD0BAAAAAAAQDVoTfB4oDTSb6uDU4JPAE9h/2q1Zl50knphNUrl1pVRs/FTKv1lipeertn0l1bGbpS4nRXx1dHbCPQg9AZci9AQAAAAAAEA0aSr8PNARt5FjbAG0I59PvJWlNvK2LjtZajPipDYtRmrTA5URb2FnfWGW3UZvC7gF/7UAXIrQEwAAAAAAANGocfjpRG/TVBiqnZ2R42u19DKAduL3i9/bIP76Wht3q52fvlpPqKrta3Zd4DZ6W8AtCD0BlyL0BAAAAAAAQLTSQFN3eToFm5GhaOPrNfCMDDsji1G2AIDmEHoCLkXoCQAAAAAAADeK7AKNDD8jx9k6FaEnAKA5hJ6ASxF6AgAAAAAAwG0iuzwj687f/swx6AwXgScAoCWEnoBLEXoCAAAAAADAbZxCzzN+8b8dg85w6chbAABaQugJuBShJwAAAAAAANwoHHzOOefQZgPPf/7uxNA9AABoGaEn4FKEngAAAAAAAHCrlvZ36rjbcCeohqQAALSE0BNwKUJPAAAAAAAAuJWOrHUKO7UiA89wAQDQEkJPwKUIPQEAAAAAAHDA/H7xe73ir68TX221+GqqIsoTPK0OXQ5c72+oD92x/Th1e+rI28aBJ52eAIDWIPQEXIrQEwAAAAAAAAfM5xVfrUe8ZYVSn58hddnJgUqSupzAaU5K8HJWon2tviBTfJ7y0B0PjHZ2OgkHn+eff77dJrzvM7KceHatD50DACCI0BNwKUJPAAAAAAAAHAi/t8E6OBtK8qQ2PVY8ezZK1fbVUrXtq+DpjrV2Wrl1pX2tOnaz1Oeni9/nDT3C/gmPstWA04lTIBoOP526PCODUbpAAQBhhJ6ASxF6AgAAAAAAYL/4fDa6tqG0wDo5q+O3SuWWL6Tsq/elZPmbUrJslpR89paUfv5O4PJbUvLJG4GvzZSy1Quss1I7Pv31taEHCwg8no7JDfyv4GUHjUfYNtXxuT/CgWe4MiZcSfi5XwI/L/25+QM/P5/XwuymSq8PnAneBwCiHKEn4FKEngAAAAAAANgfur9TR9l6dm+Q8rWLpGTp61L47hOSN3Os5L58j+S8NEpyX7lXcl+9305zXrzbvpY362Ep+vB5KV+9UKq+XyM1yTvtcbyVJeKvq7HO0WD4uS+nnZ06xrYtIrs8GxfBZyvpPteGevFVV4q3vMg6fhuKc4OnJfk/XNYqK7CuYABwA0JPwKUIPQEAAAAAALA/dC9ndewW6+DMfeU+yXx8qKQ/3EfSRl8iqfecLymjzgucXiCp911opymjzg2cnidpD/xHMiYOkOynR1hAWvzxDKn87kupy0yw0Mynwad2BEbQcLNx4BmupsbctoZT2Nm4CD+boQ2eGnh6KqS+MEtq02KkOmGrVMd9K9Xx3wXObwtd3mLvFQu4i7J/9PMFgGhE6Am4FKEnAAAAAAAAWks7MutyU6V83SLJffU+CzYTb/i9JAw+QeIHHSfxV/1S4gYeY6fxV/9q38uB6xOGnihJN/7BwtHsZ26W4o9etq7PuqxE8ZYX7x17G97f2VS1tdNTNdftGVmEn/sK7nL1iLesyN4LGnJWfvtF4D2xWMrWfGDvjfKvPwpeXr3QqmLjpxaCargNANGO0BNwKUJPAAAAAAAANEt3eFZX2rjS2rQ9Urnlcyl8/ynr2ky8/ncS1+8Iie11iMRoXX6QxFwWKD3tdXDgVCt8+RCJ7R2ovr+QhKEnSdrof9v425JPZ0rVtpVSl5Vgz+M0zjay2tLh2ZgGmrrL0ynsjCyCz5DAe8FbWSp12UlSHbNJKjctl9IVc6Vo0YtS8O4TUjD3cSmYN1UK33syeHnOZKvChc9K6ZfzpGrHWqnLjLeRt/o4OvLW31Bnj+s02hgAugKhJ+BShJ4AAAAAAABokt8vvtrq4A7PnV9L6efvSP7bkyRzyrWScsdZ1r0Ze8VhoUDz58HgM1QacO57OXh97BWHWvdn0k1/kfSxvSTnhTukaNEL1vE5ceyDjkFnuNoz8IzU2q7Pnk5H2tZlJ1vYWbzoRcmf+bDkTB8pWVOvk4xHr5aMSQMl45GrAucHBS9PHGClI5D1dvlvT7Tu3vK1H4pnz0apz0sTb1WZdfgy+hZAtCD0BFyK0BMAAAAAAACO/H4bZeqtKJWaxO1SuvwtyXnhTkl78D+SdPNp1q0ZP/CYYKdn318ETo9ssWL1toGKG3CUxF9zvI3GTR11nmQ/d6v868+/dQw6w6Ujbztac+En3Z5i3ZmeXeulaOFzFnzrmOLkW/8mSSP+FPhZ/k4Sr/uNdf/qz3XvZa3hfwzc7nTb75oxvp/kvnyPlCybKZ7d34SCz1Lx19eFngUAuhahJ+BShJ4AAAAAAAD4Mb913ukOTx1FqmNJC9+dKukP9ZKEa0+WuP7/V+KuPDIYCGqgqef1ay2V3k5Dz4j7JQw5Ue791ymOQadWe+zv3F9O4aeTnhCE+r311u3rLSuU2tTdUrbyPQu/g52+x9rPM7bv4dbBq928dtrnMOsAtstafQLXazA+4CgLQdMevFTy3hgTeKx3xbNng9TnpYqvmt9HAogOhJ6ASxF6AgAAAAAA4Eesy7PedmzW56XbHs/8WQ9Lyt3nSFz//7YdnTamNtzFqcGgU8jZuPR2oftoMKZ7P/Vr7135B8fA85FJk0IH1Pkig0+ncDN8fXcOPoOdviVSmxEvVdtW2XjjvDcekvSxvS281CAzuLc1tLv1sp8FT/deDlXoso481uBTO4UzJg2QvJljpWTZLPHs+kYaSvNDzwoAXYvQE3ApQk8AAAAAAAD8iIae9bXBwCszXirWfyy5M0ZL8sh/BIOuy34WDD1DoaCVU8jZuCJub6GnBmGBx9MQ7MORvfcJPCeNGyvi84UOqOvoOFcnkd+LVvcKP/2B//GJr8YjdTkptsOz8P2nJPvpm6xLU39ets818LOzjk7t5LSKPN+49LrD7H2QMPREG4urO11zXxplHZ/6PAAQDQg9AZci9AQAAAAAAMCP+P0WeOlo25qk7VK26n3JefEuSb7t7xZg7Q09G4earaw7fxu4vz7O5QdbEKY7IDMeHSQPDvi3BZ5fzJspDSX5NmI3GkV2gTaubhF++n3ib6i3HZ41id9LyaczJevJGyT59jNsHHH8Vb+UuAFHB77f/ej01dvobfX8wKPtMRKv/62kPXS5Baq6NxYAogGhJ+BShJ4AAAAAAAD4Eb/fAq+6rESp2r5aipe+JlnThkvSiD9b2Blz6U8PKPScc85hcsYR/9uCzTtP/a/QyNOfS8KwUyT94T6SN+th+eTpseLZ+bXUF2TaeNVoFBlyOpXbg8+9+1xL8sWze4MULnjGRtomDD7efu72s7cxxUfsZ+gZvL11iAZ+7vq15NvOkLwZo6Xy2xXiLS8OHQEAdB1CT8ClCD0BAAAAAADwI36fNJTkSXX8d1K25gMpmDtFMh69WhJv/IPoOFMLK0OjSltbGnhGjq/Veucf/2UBWsK1J9vY1NyX75HiJa9K5XdfSl1uatSGns11ekaWW8PPvftc8zMs9C6YO1lS77/Y9nFal2+vQ0JhZysDTy17TYL32dvlG3gv6Xsq66kbbV9oTdL39r7z1XqitssXQPdH6Am4FKEnAAAAAAAAfsTns05L6/L85HXJfe0BSX/4Ckm8/nfBnZ69DrHgyjHccigdZ9s48AzX7LMPloRrT5G0By6RnBfukqIPX5CKzZ9JXU6yjViNZt01/Azucy2WusyEwM9iueS/NUFS7znffpYWeoa6NBv/nFtbwfeQhp4aeJ8iGRMHSOG7T0jFhk+kJnmHBZ/R/rMH0H0RegIuRegJAAAAAACAH/F5pT4v3Touiz96WXJfvtd2L+oOxuBo0kMCp60LPZsLPLUs9Bx2qqQ9eFmo0/OVwPOuCHV6uiP4ak34mTHhytCto5/uc60vypbqhK1StnqB5L56v6TcebbE9jsiONo48PO378vh592astDz8oMtPE8Y/Gvr8s17fYx1e1btWBd476VZ8AoAXYHQE3ApQk8AAAAAAAD8iIaeNtp0lRQvfV1yZ4y2nY6J1/0mOJpUu/Ra0ekZ3t/pVGf84n/JO2cGx9vq46aP7yf5b02U0i/ftT2S9YXZUTve1klLwaebuj29VWVSmxFn4bOOG85+5hZJvu3vEtv3iHbq9Aw8TuA9pKFn/DXHS+q9F0rOC3dK0eKXgl2+mQniq60OHQ0AdC5CT8ClCD0BAAAAAADwIz6fNBTliGfPBildMdfCyIyJ/YPjbVux09Npf2dkaRiq9w93DSbe8DvJfHyIFH04XSq//UJq02LEW17kyr2OTYWfbtJQVijVcd9K2VfvS8GcyZI5ebAk3Xya7fEMjqUN/Oz1+3L42bemtGNUg9PY3oda6Jky6jwLVgsDr135N0ukNj2W0BNAlyH0BFyK0BMAAAAAAAA/4vdZ8KX7FSs2LJXCBc9I5pRrJWnEn22sbXOhZ0vjbPV6vZ2Fnto1eMWh9rgaepV+MVuq47+T+sIs8VVXWvjqVpHhp1OXZ/j6aOwA1Z2anp3fSMmyNyXvjbG2c1N/Rnq8Flbqz74NoWdcOPQM/OzjB/9aUu45f9/QMy2G0BNAlyH0BFyK0BMAAAAAAAA/4vdb6FhfkCHVsVukdMUcyXn+jtCIU93H6Bx6tirwDAWBGnhZp+cVh0nyrX+T3FfutYBVd3n6qivE31Bvx+FmGmh6dq0PXdpX+HXQirbg00LPXd9IyfK3JG+mhp79JWnEn0Kdnoe0OfS03aD6OL1/bqFn6v0XS85Lo2yUrnb61mUlir+uJnQ0ANC5CD0BlyL0BAAAAAAAgCOfT/z1tRaAVW1fLflvT5SUUeda2NVU6NncDk8deWtBWb8jrSz01E7Pvr+QlDvPlvy3JljQ5vOUhw6g+wp3eTauaAk/G0oLgmH3ynclf/ajkvHooGCXr4aV+rMP/OzsmBv9/Ftb4eA85vKDJWHwr21frL6/ylYvCDzvZuv01fceAHQFQk/ApQg9AQAAAAAA0JLajDgp/uhlSR/XVxKGnmjjSS281BArHNqFAq3GwadeDl8Xd6UGnoH76u11xGnfX1jolTbmMila+KzUpu4OPWP3pZ2fe1+zJqqrw09vRYnUpOy0ztuiD56TrCdvlORbT7efWbuFnpf9zB4rYehJkvHIVbbPtWr7KqnLSgg8f7H4vfWhowGAzkXoCbgUoScAAAAAAABaot2e5esWSe5LoyT1/osk8cY/SPyg4yz40gDMuj4tzDxS5pzz872B552//al9bW93pwadersBR0vC4BMkafgfJfW+CyVn+u1S9tV7Nk63J2iq0zOyMiZc2WXhp44X1jHDGtDqntWcl+6WlDv/aYGldme2W+jZ6xBJvO43kvXk9VL62dtSk/S9NJTmi6/WEzgIb+hoAKBzEXoCLkXoCQAAAAAAgJbofs+ahG1S+sUcyZ81zgK5u/9yhJxx+P8ruy/8n7Ln3/872AHY++cWiM0++yC589T/EwxE9Wuh/Y22xzHwtfirfinJt50hmY9dI/lvjrfHrY7/TnyenvM7qdYEn1pdEXzqPlUdM1yflyZVW7+SgjmPWditYXX452zH5xBoNln2/RxppSF5zGU/DTzOIRaga+hd/s1HUl+YGXjuuuAuV5fvcwXgXoSegEsRegIAAAAAAKAlGoJ5ywqlNm2PVGz4RM4+9bi93Zwjj/uJ7D7/JxJz6U8lptfBewPOcMgZ3N0YKD2v1/c5XBKuPdlG5RbMnSKVmz+T2vRYG2kqfl/oGXuOqA4/vQ022rhk6WsWdOso4r2dvXuDzEA1DjidSm8X7vjte7i9T7Q7OPm2v0ve62Ok6vs14qvxhJ4ZALoOoSfgUoSeAAAAAAAAaFmw627Vlyvk3LPO3Bt4hku7OrULUDs44wceI3F76+jA14+y0/irfyXx1xwvidedKil3nyM5z4+UspXvWuCpHZ4asPm93h+CT+308wXO6+Ue0PXXUvjZFaGn8pYXS8XXH1k3ZsrIf0jCkBMCP+fAzzbw8w6GmKEdrU5BZ2SFxxzreX0/DDpWEm/4vaSP7S2Fge9NR9sCQDQg9ARcitATAAAAAAAArbF69eofhZ2R9f5Vp0nK3edKyh1nS/LtZwbqjODpyLMs5EwbfYmkj+8nWU9cL7kz7pfij16Wym9XSF1mgjSUFYq3osS6SRvKCqShNFAlebbf0VtZGhx52gNosKkdlY0DT/1aV/HXVUt17Bb7eWU/d5ukPXCJJN7wO9vNGnPpf1mHr3X29jk8WNrF2fcXwVP72mHBU+0QDZSGngnDTpGUu/4VHG88a5yUr11ko3QBIBoQegIuRegJAAAAAACAljzyyCOOQWe4Hhx4ieTNHCs5L9wpWdNGSObUYZL5+FA71cs5L94lebPGSdEH0627s3LTchtn6tmzSarjt1qXX2RVJ2yzHZ81idukLitRvFXloSPpGRp3fTp1eerXOqP7UztwGwqzAz+rDVL25TzJmzFaUkadawHm7vOCo433XPJ/JObyg4M7W0PjjYOjjQNfs/HGgdPLfman2iGaPPJMyX56hBQtekEqNi6T2tTdFm4DQDQg9ARcitATAAAAAAAAzWkp8Pzyo4Xi2bNRytYslOKlr9mo0oK5j0v+7EfttHDBM/b1slXzpWr7aqlN3SP1ualSmx4nnl3rpWLjp1K+bnGwvlki5es/tvNlaz6Q8q8/snC0LifZ9or2NM0Fmy2Fou3G7wvudK0sk9q0WCn9/B3JnDzYxtPuuej/tQrvag12eIZLuzsPC1boa3ED/q8kXv9b61zV94lnxzqpL8gSX3WVhasAEA0IPQGXIvQEAAAAAABAU84//3zHoFNLr9ORt6qhOEeq4761cbUaVGrAWbryvcDpAgsx9etVO9YFbvOd1KbslprkHVL1/Vq7XdHiF6XwvacC9aQUzp9mYZieL5g3RQrff0pKPnldKjYts/vUF2bZGFxfTZX462qDQZntAO3+Oz8jacgZGXpqaZDY0Z2f3qoyC6ELZj8q6Q/1kqSb/mKjbhOH/zFYN/zeQs3E637zQ13/u8Dt/izJt50hqfecLxmTBkr+zIftfaLhd08MswFEN0JPwKUIPQEAAAAAANBYS/s7NfCM5KvxWCBZmxkvNSm7pCZxu42o1aCyNiPORtTq1zXoLF/zgRR/PEMK5kyW3Jfvkawnb7DdjlaTh0jm44EKnM945OrA6WDJfvomyXt9jBQtfFZKV8yVqq0rpTZtj+399NV6QsFnzwk9tTu2ceAZWR0ZfGpAWZeTIpXffiHFS16V/LcnSs5Ld0vWtOHW/Zk+4UpJH9tb0h66PFC9JP3hKyzktD2uL42yn7mF2Bs/DY60rSoLPTIARA9CT8ClCD0BAAAAAAAQqaXAU8fdNqbBo6+2WnzVleLzVASq3AItO19TZfsaa9NjLfDMe+MhC8K06y/59jOC3YI3/iHYJTj8j5I0/E+hy7+z06Rb/iopd/5T0sZcZgFp4btTpWL90lDwmR8MPn3e0JF0fy2FnuHqkPBTR93W1Yi3vFjq89KkJmGbdeGWfDrTunPz3xwvuTNGS+4r9wbqPvtZ65hj3d1ZtnqBeHavt1HF3rLCYLcuI20BRCFCT8ClCD0BAAAAAADQWFN7PJ0Cz2b5/RaSNZTkSfWeTVL04QuS8chVknjj7yVuwFES2++I4L7HKw4NVp/DgrshbRdk6HLgNhrixV9zvIWkWU9cF3ic6VK55XPrFtTg019fF3rCnsNpxK1T6ehgDRd/VBoUt7VDNvAY9fnp4tn1jZR/vVhKv5gtxUtfl+KPXrFO0JJls6Tsq/elcvNn1vWr4TcARDtCT8ClCD0BAAAAAADgpPE+z/D+zv0R7PCMk6rvvpSSpa9LzvN3SMrd50j81b+S2N6HSMzlBwXqYIm57GfBssuh2ns5cH2gNAxNGHqipN57gWQ/d6sULXxGKtZ/bB2kGqz2RBp86i5Pp7AzsgreniQNxbnSUJQj9YXZtoNVd6P6G9oeFuto47rcFKlJ3GbhZ9W2VVL53Uqp3LpSqnaslerYzcGu3JK8toesANAJCD0BlyL0BAAAAAAA6Nk0zGwq0NSws/H+ztbS0ba1KbulbNUCyX97knVopt57oY2ttS5P7eK0bs7Dg+f3VuPLgdLb9f2FhaXaJaqjcTOnXGsjVTVY81VXhZ61Z2pN16eOm62O3SKemE1SHfet7V9tj52a2jXqrSq3jlsNVOvzM2z0bX1eutQXZFrY6i0vsjHEAOAGhJ6ASxF6AgAAAAAA9Fzh/Z0HGmz+iHby+YJ7HzUAq/pupRTMflTSx/a2XZ06ojb+ql9KXP//K3H9jgwGcnq+ubLQTm8bqAFHB+5/jCQM/rWNus1+5mbbE6o7Inss27NZK97KMsl/a2Lo9dq3Uu76l5SvWyRlqxfauNmywGumHZl1WYnir68NPdAB0p954Bj0567jbnVsbrj0cvDrgaLLE4BLEHoCLkXoCQAAAAAA0DM13tvZLsGnBnDeeuvyrMtOlvKvP5Lcl0ZZQKkBZrhj0wLP/Qk97fZH2Gm4+zNh8AmSMb6fFC95JTjitqE+dBA9i7+2WuoLs6QmcbtUbV0pZasXSOajg/YJPdMfvkIK5k2RgtmPWddtwZzJkjfjAcmeNsK6Putykq1T01dVZoG1dm9akAkAPRChJ+BShJ4AAAAAAAA9T+N9neHSILRNNPSsrxVvRbHUpsVYV2H2s7dI0vA/WuCpezo1sNzbudma0FPLwrtgUBrb++e24zNu4NGSet+FFuJVfrfC9krqmNX22FPpJt7yYqmO2SSln79jXbU5L94tWU/eIMm3n2mvW/Ktf5OMSQODNbG/pI/vFzgdEHpN/1syHu4jJctmSeXmz6QmZaft3vTVVFl4TfAJoCci9ARcitATAAAAAACg59Bxtk0Fnlpt7vb0eS0wayjOkeqErVL62duS9dSNknjD74NhpYWehzsHm62pK/87GJ5q6Nn/vyX5jrMk54U7pCTwPJ6dX1vHos9THjqY7s9fXyd1WUlStmq+5L58j6SNuUySbztDkkb8yXanJgw71Srxut9I4vW/DZzq5VMkYdBxe0PPcOkI4vJvPpKa1F0/BJ86nhYAehhCT8ClCD0BAAAAAAB6hvD+zqaqPcbb6lhUb2Wp1GUnSdWONVL80UuSOXmwBW8aVLZf6HmQjclNuvk0yZp6nRQueEbKv1kiNUnfi7e8KHQ03VRoZ6q9zrmpUrXtKyl89wlJH9fXQk17jQKvsY0B7v3zYOlYYa3A+Th9/SPCzsaV/cwtUpOsHZ/5Pa5rFgAUoSfgUoSeAAAAAAAA3V/j/Z2Nq81jbUN0r6Z1ecZ/J+XrFknBnMcsjEsYepLE9NLQMxhWOgaarakrG4Wew/8kGY9cZSNuS1fMFc+ejdal2G35/eKr8Uh9QaZUx26W8rUfSuH70/aOs40feIzE9j7EXp/w623nrQKX9XW7QscLOwee4cp+anhwT2p9beiJAaDnIPQEXIrQEwAAAAAAoHvrrMBTaUhWl5MilVtXSvHS1yT3lfsk7YH/SMKQE4PjbXsd0rbQs792MR5mjxPX7whJvPGPtqMy7/WHpOTTmVK1Y500FOWEjqYb8futNFT2lhVJdewWKVn+ZuD1vdf2dKbccZaNrY0bcNQPXZ6B1zl4PlB9QxW6HNf3CMews3EVzpsaOgAA6DkIPQGXIvQEAAAAAADovlra36kjb9uTjl2tzYiTig1LpXDBs5L93G2Seu+FkjDkBOswtFGr/Y5wCDNbXxbc9T5E4q48UhKHh0PPMaHQc223DT11v6avtlrq8zOkctNyyZ81TtJG/1sSr/+NxF/9K4kbeHTwNep3ZDC0bPS6/ags2AzdtoUqmv906EAAoPsj9ARcitATAAAAAACge2puh2d77O90Egw944Oh58Jw6HmBJAzW0DO4U7JtoaeOt9VOz4Ot0zNpxJ8l49GrJf+dR6X0y3niidnUPcfb+n3W5emrKpe6rEQpX71QcqaPtJ2mGnLa66odtBp47k/oabcP/DzC92mmCD4B9BSEnoBLEXoCAAAAAAB0X06jbdtznG1jNt42O0kqv/1Cij96RXJeultS779Y4gf/2rozNaxs807P3odKzGU/s8dJuuWvkvXUjVK0+EWp2LxcatP2iLeiJHQ03YjPa4Gyt7xIalJ2SemKOZI1bbgk3vA7Czzt9dCxtZGdm06vX+Oy24aCUrv/DyFnZBXMmcx+TwA9BqEn4FKEngAAAAAAAN1b5Ijbjgw8lb++zsavenZ9I6VfzJG8mQ9L2kO9gjs9ex0iMZe3R+j5c4m59Kf2OMkj/yE5L42SspXvSXXcFqkvyBRfTVXoaLoPG21bXSn1hVn2fZZ8+oZkTR0midf9xvabxlx+UNtf1ysOtZ9PZNgZrvzAz9Hn2ff3hZ5d60PnAKB7IfQEXIrQEwAAAAAAoHtobkdnR+zvdOL31ktDaYF1I1ZsWiaF86dJxiNXWThnoVq7dHoGOxv1fMqo8yT/zfFSueUz6zD1VpZ2y45EHW3rrSiW2sx4qdr2lRR98Jy9rglDT7LAM9z56viatab0dbXQ8yAbd5t0y+mScuc/7evZ00ZITfIOe/5Iep0WY28BdDeEnoBLEXoCAAAAAAC4m4aZkd2cnRFuNkk7Ems90lCab0FZ6Yq5kv30TZI4/I97Q7UDCucsYAuOYbXOxkt/al9PHf1vKXz/KamO3SLeyhLriBS/P3Qw3YcGudrlqTtLy1bNl/y3Jkja2N6SMPjX1p3Zfp2egceJ2JWa/lAv25VaHbPZwuwwDTrDoSfBJ4DuhtATcClCTwAAAAAAAPfSgDMcdoZLA9BooLs1tSsx7/UHJfn2My201C5NDdXCQVtcf61GAVzjsmBNA8/A/foFHuOKQwOPc4jEDzpO0sf1lZKlM6QuKzH0rN2T7vPU77Fyy+fBXakvRu5K/bkFwXtf1wOpwGsc2+cwexx9rZNG/EkyJvaXvDfGSsnyN21ccUNJnh1L48Azsgg/AXQHhJ6ASxF6AgAAAAAAuJPu52wceIaro3d3tlZtyi4pWvispI/rI4k3/E7ir/qlxA04Ohi09TtSLMxsHMD9qDRQC912wFESN/Boib/meEm+9W/WRVq+eqF1lnZnvtpqqU2LkfKvl0jh/Kcl+5mbJeWe84Ohp4XAPw+Gwo6vXyvqymDoqWGynrdOz4kDbCdryfK39gk9MyZcabdprgg/AbgZoSfgUoSeAAAAAAAA7tNc4KnVpSNuI+hI1vKvP5L8WeMkY9JASb79DIkfdGxoRO1/2WhWC9v6Hm7jWfepPoGvhUuDvcBt4q8+VpKG/0nS7v+3ZE8bboGqZ+fX4vN0799lWeiZHivl33wshQuekexnbrF9phr+WvdsZAftgdSV4fG2B1sYnXTzaZI5eYgUzH3cxulWx38n3rLC0NE03+0ZLg1HCT8BuBGhJ+BShJ4AAAD/f/b+A07qwtr///P9fe//+/3em8QkJnpvqknUGPXG2GKiJuaqsdGLqICVJoqASlERsCEiCoIgoAgqICBFAREVBKlSpJddthe2995nz3/OmRkc19k+uzuf3dfzcc+dnT4781mC++acAwAA4Bw193fWLL0uVAJP5SrOl7L4E1Kwe70FlKde6CuR91wgJ/71f+TYdd+TEzf+m4Td9gMJ63yGZ0SrN8CzULTTD78p9200lIvsf57Ej71V0uaNkdwNC6Xo8FapSIu3nZft2bfH286WlNeHS9zjN1joae+V+/1r9k5Pfd9v+777cc6SmKF/keRpQyR77Vwp3L9JyhJPSlVRnvfVeDQk+NQi+ATgNISegEMRegIAAAAAADhDoP2d/hUquzz9VVdViqu02Do+iw59KekLJ0rssKsl7LYfyvHr/5ecuOn/ero4tdvTv7NTz+vldp37fPefScQdv7JO0eTpQyV342IpjTlq3YfaBSmuKu8ztk8a6lakJ1hXa+7GRbZrM/6J2ySy7++9AXEwQk/tvv2+jcmNfeRaSZ07WvK2rpDSqINSkZXsfp+Lva/m2xoafhYf2+W9BwCENkJPwKEIPQEAAAAAAEJffeNsQ2WHZ22qq6qkPCXGwkodSxvz0F8l6t4L3PVHibr/Yom67yL7WrtAI+/5g0Te7S73qV4ePejPFnbGjbpRkl66T7JWTLcAraogx/vo7V91ZYVU5mZIadxxKdizQTKXTbVxwfoeeTpjNfRs6nhbTyhpoedt37fLtIs0473npPDAJilPi5Oq4nx7DXWpK/yk2xOAkxB6Ag5F6AkAAAAAABDanB54+lQV5krJyf0WfOquyNQ3HpPkVwbJqUn9JXFiL0l4qovEj73NxtdqF2PCuK6S+EwfSXr5AUmdM0oyl74kuZ++Yx2jnpG25d5H7gBcVTbitio/S0pjj1m3Z9LUARYYW+jZ1E5PCyXPtu5OGzGsnZ69f+F+/2+VrJXTrcvT9qVWV7tfhFbdNNzUXZ41Q0+6PAE4CaEn4FCEngAAAAAAAKGttrG2oba/sz7aKegqyrNRt2Vxx6Xo0BbJ++J9yVr5mqS/+6ykzhsrKbMflZRZIy0Q1RGuGYtflOx186Tgq3VSGnlAKtISpKog2zvS1uV95I5Fd2sWHfjC9prGDL3KQkUdA3yyx9nfBJnavVkz4KxZeju9T4+z7NQ3Tjiy3++ti1R3pmq43BT+XZ+1dXnWdR0AtCVCT8ChCD0BAAAAAABCX81uz1Dc39lY2vmpezkL9m6QvC+WSs76+ZL90WzJ+nCWZK+ZIzmfLpT8rSul6PBWG43boTo766HvW9aKaZLwdHeJHvAnibjzHDl5+y8sSAz3hpgBg07/8oWe2unpvm/EHb+WyP7nSewj10jKzEekYOcaqcrP9j5j09QWavqHooSfAEINoSfgUISeAAAAAAAAoaW27k1f8OmUcbYNUZmbbnsqi0/strG1hV9vlMJ9n0vh/k1SdGS7lETsl/KkKHEV53vvAVWRcUoKdq6V9HeekVMv9JPYYVdb8BnW6Ydy4uZ/l7DbfijhXc+U8G4/DVB6ubv0+i4/tsv0vtGDL7cRwykzhlnoXBK+V1ylxd5nDJ6agaevdCwu4SeAUEDoCTgUoScAAAAAAEDoqC/YdNI424bQMbW6p7IyK1kq0hOkPDXOSseqarBXmZ1qHaE6Ghff0BC4LPGkBcRZq2faXtTIu/8gJ278Nzl23ffsNOy2H3j2dHb+kYR38ZSd7/TDb8p9Gw1Ao+69wLpG0xdOlLwty6XkxB4bQ1xdGfzu2kCBp38RfAJoa4SegEMRegIAAAAAAIQGHVnrP8K2vQWc31Xt/j+XiKtKqqu0Kr9b7utsd2e1+7Y4zd6v8lILhYsOb7OwMnbYNRZqHr/hf0vYLf/h6ers/jNP9TjLU919nZ4/9ezy7PmfEnHXbyV2+LWSOmuk5H+5QsoSIzxBs44TboG9qbV1etYswk8AbYXQE3AoQk8AAAAAAIC2peFmzcDTV0BdNBQuT4mVvE1LJHnagxI78jqJHnSpRA/8s0QPvsx9eolEPfDfEnX/xe66yFsX2/UxQ/8isSOuk4RxXSVl+lDJXjtXSk5+3WqjhAk/AYQq/tcXcChCTwAAAAAAgLajgWegsNNX7Wl/J1qGdmWWRh60Ls2sFdMkbf44SZk5TJKm3C+Jz90pCeN7WrCp+zoTxnWTxIm9bBxu8msPSfqC8ZK9+nX3fT+QkhO7PSNtqyq9j9zyNNDUXZ6Bwk7/IvgE0JoIPQGHIvQEAAAAAABoG779nbUVgScaQvedukoKpTI3Q8qToqX4+C7J+3KFZH84SzIWT7IQNHXuaEmdM0rS3hwr6e9MlMzlr0jup+9I4f5NUhZ/Qipz0sRVXOAZaasjh1tZfV2fhJ4AWhOhJ+BQhJ4AAAAAAACtr77As9X3eerOzGqXjUu1XZqVFbVXlbt01yZ7NkOSjqctjTsuhV9/LnlffiA5ny6U7HXzbHxtzvr5krtxseTvXGvhaEVGYovs7Wyq2sJPAGhNhJ6AQxF6AgAAAAAAtJ669ndq6XWtHniq6mqpriy3bj/tGKzMSrFRpxVZyfZ1pfvUzrurMjvVbue+k+e+CDn6GZYlhNmOzuKjO6To0JdSdHCLFB3eKsUndktp9GEpT40TV2mR9x6hxT/8rK3LU8fi0gEKoCUQegIORegJAAAAAADQOurb36mBZ5uwwLNCXEX5UpFxyroES07uk+KwPVISvteCs5Jw9/kTuz2BWdRBqUhPbNXdj2gcV1mJVBVk29jaisxk+1z1M6vI0NA6RSrzMq0jNJQ/Q1/wGUhDQlEAaCpCT8ChCD0BAAAAAABaR10dnm21v9PCTt8+yORoCzkL9m6QvK0rJG/zMhuPmrd1pe2IzPtiqVX+jo+kJGyvdXwiRNm4Ys/I4sDlvd6B3br+gad/EX4CCBZCT8ChCD0BAAAAAABaR22dnm0VeOoux6qCHClPjJDiozulYOdaydmwUDJXTJOM956X9HeekfR3n5WMRS+4zz8n6QsnWmW8P9l9uwW2M7I05ohUpMVLlXYOlhRKdUWZsO8TLSlQ4OlfhJ8AmovQE3AoQk8AAAAAAIDW4x98ttn+Ti/t8ixPjpGCrz6WrA9eldQ5oyR56kA59fxdkjC+hySM6yYJT3eXhAk9vzk/rqskPnO7JE0dIGnzxkjm8qmSu3GxFB3eZp2iGqJWl5d6gk8gyIqP7bJdnoHCTv8i+ATQHISegEMRegIAAAAAAASfhpm1dXDq5W22v9OPBpTFx3Za4Hnqhb4SO/zvEj3wzxJ1/0USec8fJLL/eRJ59/nury/wnnd/7b4s6t4/um93icQ8/FeJf+I2SZk+VLLXvCFFh7dKeUqMJ/isKPM+CxB8tY24rVmEnwCagtATcChCTwAAAAAAgODSULPNR9fW4vQOz+w0KY0+LHmblkjKjGESO+xqibjj1xLe/acS3vVMCe/yYwnr/CM7De/yE8+p+7xd1tV9vttP5WTPsy0EjXv8Rkl94zHJ/fQdKTri6fh0FeV7nxFNouOBXVVSXVUp1RXlnrHBNavce1rpvr6DdtYSfgJoCYSegEMRegIAAAAAAASPf+Dpq7YcYetPAzTtwiyLD5PCrzdKzsdvSdrcMZLwZGfr3gzv/jMJ63SGhHV2l552+qG3apz3Xd/5R3Ky139J9IBLJOHpbpI653HJXjNHig59KZXZqd5nRZO4XOIqK7HPqzIrRSrSE92VIBUZ7tOMU57zafF2WWVOmrhKi7137JjqCz8JPQE0BqEn4FCEngAAAAAAAMGhI2trBp6+atPg07oGXRaMlafEScHuTyRzyWRJeuk+iRv1LxtVG3HnOXKyx1kS3u1MT7dn95/5nfpKz3sv6+Y+1W7PXv8pkX1/L9GDLpX40TdJ8rQHJffThVJ+KtL75Gg0V5UFnpV5mVKeFCUlEful+PguG0VcfPwrKT6x284XHd1ul5VGHSJkdqsr+ASAxiD0BByK0BMAAAAAAKB5NNCsK/DU69o29HTZWNuqwlwpjTkiOevnS9KU+yTmwSsl4q7fysnbfyEne/9cdFztyR7u0qCo13/VXXob3231vr1/IZF3nyfxo/4lGYtfkJLwffa8aAT9nMpLrbtTuzlLY49Z12z+9g8ld9MSyd24WHK/eF/yNi/znP/8PbusYNdaKY08KFX5Wd4H6thqhp+1dXnS/QmgNoSegEMRegIAAAAAADSdhpmBgk5fhcJOT933qGFaZU66lITtkawV0yRhXFcLPG1XZ9efWJenpxoZerrLOj/dj6P3jx58uaTOGiEFuz+2savaYYqG0d2dlVnJUhp5QAr3bLBAM2vVTMlY9LykzR8naW89JWlvPy3pC8a7T93n33zCLstY8qLkbFgghfs+s/CzPCVGKnPTxVVcYI+pnaPW7dvB+MLPQPyDUcJPADURegIORegJAAAAAADQNIH2d/pXKASeSrs8XSWFtg+y6PA2yVgyWeLH3GwdnmG3/cCzm9PCzgYGnlrewEjvo6Gn7vjU8DTqvgslafI9ti9Uuz0rMpPsuXWfKOqmIaUGntrBqcFm8rQhcur5uyRhfHeJf+I2iR97q8Q/2UkSnuriPt/Jff4WuzxxQk9JmnK/pM4ZJZlLp0jeF+/b+Fvd+VlVlCfVFWWe4LMDKj62y/vVN/wDT18RfALwR+gJOBShJwAAAAAAQOPVF3i26TjbGjT0qirIlvKkSOsGTH/nGYl7/AYbS6uhZ3iXH3nCn0DhZgMqvMdZFpxqt2dk//Mk4enu1p2Yv+MjKYk8IJXZKZ7gDbXSYLoiPVEKdq61Dk4NOKMHXyZR9/5RIu8+XyL7/k4i7vqd7U+N7HeunWqnrl4eefcfJOr+iyVm6F8sFE2dPVJyNiy03Z+ng0/348OjZuDpX4SfABShJ+BQhJ4AAAAAAACNE9L7OwNwlRVbx6UGkHlbV0jq3NESO/zv1t0Zduv3PZ2eGvoECDQbUp7Q8wwrDeLiRt9kXYc6clV3UpanxNp4XdRQ7XJ/NiVSlZ8t5cnR7vdqq2StmC6nnrtDou6/yD4T7Z7VMNne3076HnvCZT31nD/Dfd59Gx1R3Os/LSTVTlAdf+vf8anHQLulo3t1H2pVpYXr+p7q9+sp/dp7vrRYig5u+VbIWVsRfgIdG6En4FCEngAAAAAAAI1TW+ipl4ci7fQrSwiXwq8/l+y1c2xsasxDV3lCT+v0/LEn7AkQaDakfJ2eWhF3/kbiHv0fSZ7+kGStmiEFu9dLWeJJC53gp7ras2c1M9nGAOd9+YFkLntZkqcOtEA64s5zLMj0BZ122umHp4NOz3lvea8P7/pjibjj1xIz9EpJfOZ2SXvrCcn55G3b4+pyHwPtlr6XOsK5uMD21lakJVjQXp4a6/46zkJfO58cIxWpcVKZm2FjgGsGnTVLxwYTfgIdE6En4FCEngAAAAAAAI1XM/gMlf2dgVTlZUrJya8lb/MyyVj0gpx6oZ9ED7ncgh3rFNQuQQ16AgSaDaoeZ1lwqqVhXeyI6yRp6kAL8fK3fyhlcSfEVVrkfTWwkK6qUqoKc6U0+rDkblwsqW88Lgnje0jMw3+TqHsukIjbf2m7UsO7/9Rd7vfXvvaWvt81L7Pb/cz2tEb2P1eiB18u8U/c6n7cx+wz0DCwXbLAs1xcxflSkXFKSmOO2h7PosNbrYqP7rCy8we32Ndlccfd731OwN2egYrgE+h4CD0BhyL0BAAAAAAAaDwdYeuEwFNV5qZbEKR7HtPeftq6AKMHXWqBpYWV3c70BDw1w8yGli/07PoTG28bO/I6SX5lkGQum2p7PcviNfSk09OjWsRVJdXlZVKZnSpFh7dJ5vsv2UjaqPsutLDzm/f1bPfn4i7/97q20tvp7e28+7Ps/XMbdZs4sZd195YnRXmfv/043d3pfh/LT0VK8Yk91lmc+8X7kvPpO5L7mbs2LrLS89r1ql8X7v3Uc0wW59vjNCT8JPgEOhZCT8ChCD0BAAAAAABqpx2dtY2t1eAz1PZ3BqLjPIuPfyW5n70raQvGS+IzfTyhZ0/t9PyRhHdtXujpG28bruNtdafn4zdKyusjJHvNHBupq4Gb7lWEm7fL01VSaGNYNYBLe+spiR1+rb2Xpz8PDTAbHXqeZffREFs/i5O9f2GjhjPee06Kj+2UqoIc9/O7vC/E+TS0LE+MsL2xeVs+cB9vb0jGkhfd7+eTtlNWd9emvTnWys6/8Zh9rSGz/iwUfr1RSiMO2D5VG3nrvq9/0OlfADoWQk/AoQg9AQAAAAAAvkvDTP8RtqHezVmXqvwsKYnYL3lblkvG4hc9420HX2YBme6JbO54Wx2r6tk3+UMLPeOf7CzpCydK3pcrbF9lRWaSVFeUeV9NB6ehp/u90PGqZaciJH/nRxbGxQz9i42otR2rvs/DVwHe8++U3+01NNXPQkNQfdyUmcPts9dRutoVaV237tfhaO7Xr8dV4b7PJHP5K+7vcZj7uO4rCU93k/gxt1jwbjX6Jk/p14/dYF/rGOGkl+61kcLWjbzVfZxGfG2Pl7l4kiS6r/d/PwN1eWrnNID2i9ATcChCTwAAAAAAgG/TgNMXdvqXU4NP3R2pezUL9myQrA9ft9GzMQ9dZYGOhZ5dfuwJeAKFaQ0oCz1v+4E9VmS/c218btbK6VJ0aIuUJ0Vah2F1VYX31XRw1dUWOlbmpFoIqXtWNbDTHavaoekJPc8M+D43tMK7/dT9WZxhIWr0wEvk1OR7JGvVa/b5l+o+y7wsEZeDOz71PSzKl9LIQ5K9dq4kvXSfxA672sb56vGnwXvEHb92129sx6yVfq2Xub/W2+goYf0Z0IAzfcHTkrd1hZRGHZKKrGTrwtV9tL7QMxDfSFzG3gLtE6En4FCEngAAAAAAAN+oLfD0lRPG2dbkKi2SivREKQnfK3mbl9qoz9gR19neRwvHmtzpqff5T2/o+UMJ63yGRN1zgSRNvldyPl3o6SzMzRBXeYlUu6q8r6aDq3ZJVVGejVQtOrJNstfNk6SXH5DoAX+y8Dns1u8HKfT0dPBquJcwoaekv/uM7bosPrFbKrNSbK+o09gOz6J8qcg4JaWRB62TOG3eGIl77HqJuOscz1jfLj+yEcH6/Vu5j0nPefep97xv/+zJ239hHc/aIZrx/mTJ37bKOj61G1ZHEKtAHZ2BdoASfgLtC6En4FCEngAAAAAAAB7+42wDlRMDT2U7JDX4zEyS4qM7bKdh/NhbJKLPLz3hWFM6PS3s8eyctJBNOz07/0ii7r9IkqcPlfwdH3rG2lZ6OzydPk41WFxVUpmTJiURByR/22rJWDJZEp+7Q6Luu8iCOOv07BakTs+uZ0rkPRfYuOHUuWMk++M3rftWA3CnhdD6ejXwLEs8KYX7Prd9sRp46qha7Wa179sXeFpp2OkNPGs5r52w2vUZO/zvcurFuz0jmbcsk7KEMPfPTO3vj3/Y6V+JE3oSfgLtBKEn4FCEngAAAAAAoKOrub+zZul1Tg08v0X3IKbGSe6nC+XUc3dK5N3nWUCmZYGZL8DxC9BqLb1dj7OttNPTE5yebTskNYwqOvSlZ3ckvkXDOw0d9f3JWf+WpM4bKwlPdbXRrBZWdv6RhXEB3/MGln0e+jjux7PQc+ytkjJrpGR9OEsKv95ox0BdoV5I0bC82iXV5WXWoVp0cItkffCqJE2+R+Ie/R+JHnCJRPb93Tffd/ezbJdpuLv01L98l+mp3laPXR15G3n3H9zH7ZUWoGYsel6Kj26vdQdtoC7PmkXwCTgfoSfgUISeAAAAAACgI9MwM1DQ6Sun7vGsjas4Xwr2fCKpbzwmcSOvk6h7/mDBj466tTBIgyENb2oEad+U9zrt8tTQ0/11RJ9f2R5F7bhLeLqbhT66HxHfpWFjeWqcFH79uYWQGkZqKKnhpC88tkDuW+9548rzOBqe/szC1PgnOrk/78etO7Jw/yapSIt3UOjp8nQqlxRKeVK05G9dKSmvD7cdnrqf8zvHY53Hrrf0Nt7A3nPefWqjbi+V5GlDJH/HR1KVn+V9Ad/VkOBTi/ATcC5CT8ChCD0BAAAAAEBHVd/+zvYWeCodN6uBZM4nb0vq7Ecl4akutk9SO+BO3PLvVtZt2PVMsR2J3k5QT7nPd/2J5zoN57xjcXWPZ9zIf0rSi/dI+jvPWGikwRq+yzo93e+Nho/Za96w8Dn+idsk8p4/2PsblE5P7Rj1jre1nZ7je0r6wgmSu3GxFB/fJRWZyc7Z6el+ndp1WVWQI2VxxyX3s3clacr99n3ZOGAbU+vp2mx86Ont+vQey5H9fi+Jz9wuOevmSVnsMXEVF7if3+X+0AKPZib8BNovQk/AoQg9AQAAAABAR1Rfh2e7GGcbiMuzU7I08qDkb1sl6QvGS9zjN1pwdPyf37M6cfP/s12fFsBp+XYldjpDwm5zX26nP7BT7RCNefhv1iGnIZ6OTy1LCJeqwjzvE8KfhZ4Zp6To6HbJ+fQdSZv/lHXHWqenhni6Y7VbM0PPrme6P5/vW5AX9cB/y6lJ/SVr5WtSsPdTCw6ti1HDPAfQjlQdk2x7UCMPSM7Hb8qpF/pK5N3nW+Bp75eGnr6Q0df5WV/5bt/jbHuf9LG04zl+zM2S8e5z1g2tuz0r8zKlurzU+2q+SwNN3eV5+vFqqeJju7z3AOAEhJ6AQxF6AgAAAACAjipQp2e72d9Zm9PjQotsXGje5mXWORfZ71w5cfP/lRM3/R9P55uOufUr3x5EC+S8HXURt/9Sou6/WBIn9rI9ixrsVGaniqusxJ4DAXhDZw3w8revloz3X5LE5+6099HCymCFnrd+30LU6EE6svVByf38PSk5uc8CVx0Vq8eBE1RXVUhVUZ6NBC4+ukOyVs+wbkztyrRgXt8vPUYDvA8NKvdxbKGnBfi/kNgR/5CU10dIzicLbO9qeXK0p+OzHvV1fQJwFkJPwKEIPQEAAAAAQEemIad/4NmRaPhVfGK3ZC6fKonP9rE9idGDL5PoIZe7T9018M8S9cCfrFvQV9EDLpGYB6+U2Eeuta64Uy/0k/SFE6Vg11rvrkjCzjpVuzwhXkqMhXg56+dL8iuD7H3XULlZoac3YLOOUQ093Y8TM/QqSZ3zuBR8tc4CPH3u6spy9+sIPLI11OhoW+tMjjnq/h4+loxFL9hIZt3nad3Gt2mnZzBCzx/a1/p+Jb08QDJXTJP8nWukNPaoVBXmel9N/QKFn4HG2xYf3WldrNXlZeIqLbJdu/rZuIry7Ws91fN2WXGBp9vUIZ8Z0B4QegIORegJAAAAAAA6Au3qrK2DUwPP9ri/sz4aumjnX/GRbZL72XuSuWyqpL31pKTMeFiSXrrPOhATJvSUhKe7W2lHp44W1ZAubd4YC0v1fr6RthrUoB7V1RYMa+Bsuz33bpC0N8faiGDtqPWEnmcGDujqKg3YvHstLcTT8bbdfyaxw6+1PavFx3Z6wztfcOaMAM1VVmwBsXZd5mxYKKlzRkncqH9JxB2/se5M2+nZ3E5PGyt8hn0dPeQKT5D/3vOS+8VSKTn5tWcccCP5h5+BZLl/1vRnSkfp6nFQlhhhP0NliSel7JT7az2ND7MqT4qSyrwM90fmjO5coD0g9AQcitATAAAAAAC0d74xth2tk7NeOuq2osw6y3QsrQYsRQe+kNzPF0nWiumS/t5ztnMydd4YC+bS3n5aMpa8aLs787d/6BmXmp7o6R4sL6XLs5H0/SqNPiyZy1+xrtmIO39j3ZmnQzxvaPadoC5Q9dTA030/92l4d/djdD3THi9+7K32WZbFn/A+q7NoOFwWd8K6LjM/eFWSXx0ssSOu87xXOobZXRb2BnpPGlLu91ffK91bq+e1y1nD/vQFEyzQLw7bI1V5md5X0zgafH6ny7O6WjKXTvnms3VX6qyRUrh/kxTu+0wKv/5cCt0/g3ped7BqaeCr+0VtLDGAVkHoCTgUoScAAAAAAGjP/MfXEnzWrzIrRUrC9tgoUe10y9mwQLI/flNyPn5Lcj97V/K2rrDOztLYYxZ2onm00zZv0xJJnjpQYoddI5F3/0Ei7vi1J4zTHaru8g/Iai1vl+fJ3j+30a9R91wgsY9cI8mvDJTcjYstnHYiV0mBlMYccR93KyVjyWTbP6ujlbXT0xN6/iSIoefPvZ2efSX93Wcl1/25lITva1KnZ0DV1eIqLf7uZ+etU8/eIdlr59jPW/a6eZL90WzJ+nCW7Rct2POJlMUdd7+WbPuHChqYW7mq7HEZfQsEF6En4FCEngAAAAAAoD3SUbY1A09fdcRRtg3lKi+1gEx3KJaE7ZWiozuk6PBWd22T4mO7pCRiv43hrMxNJ2gJAh05q6NnNeBKmfmIxI+5RSLv+YOEdf6RnPjX/5ETt/y7fa0jWC2c6+Yt/Vov66KXu8t7m4jbfynRgy6VhHFdJeX14fa4xUe3S1VBjvcZnUW7GzVg185iHb+cpOHw8L9bMGzvi3V6Bmmnp/t8zEN/tefIWjnd9tRauN+InZ51clVJxsKJ3wk7a1bco/8jya89JMnThkjyq0Psc9QQNmfdPMnf8ZHtgrWfwZxUe3+qKyvcP4uMvgWCidATcChCTwAAAAAA0N74xtnWVoSetdPOMQ1StLutMifNOj8rMpPclSyV2SlSmZthAZqrrMR7DzRHdXmZVLrfW+0ozNu8TFJnPSoxQ6+SsFv/Q47943ty/Pr/5f76+979lRryeYI+/VqDOk+5r7vtB3Z5ZL/f20jb9PnjJG/Lcvfj7rVu0upyZ35ertIi23dZuPdTTzA8Y5iFghZ6et+T5oWeZ3veS/d7rIGjBqqpbzwmuRsXWRhdnhoXtLGy+jOTNneMxA67+lshZ6CKuvePtudVK3bEP2z8ceIzt0vy9AclY/Ekyd+6QkqjDtrP5+ngE0DQEHoCDkXoCQAAAAAA2hMCzyDwjcusrUQLQeF+Py1oLi6Qstjjkr1mjiSM7yEnb/+lnLj5/3nCTNvVWTMYO9tzuY12/bn79r+QyL6/k5iH/2odgjrSVvd4VhXmOboTUIPCirR4CyD1e0p78wnrho2467eesDJYoedt37fRwHGjbpT0d5/xjJNNCJPKvEwbJ9tk+vPictnOWw2fNbxNXzBeogf+ucbnWUf1/oWFvJH9zpUY3Tk6sbdkvPec5O/8yHbCWvBZWqRP5nlOAM1G6Ak4FKEnAAAAAABoL2obZ+srHXkLhKqqvCzbl6qjTBMn9JLYEded7vaLGfoXiR5yuY2u/aYuk5gHr7TuxLjRN1kYljLjYcn+cJaNItb9j05XXVlu70tZ4kkp3L9RMpdPtfcmsv+5NtI3rPMZTQs9fYFiDw09PZ2yEX1+KQlPdpasFdOkOGy3dTpr6Kq7M5uk2mVhZGV2qo3JLdz3mWStfE1OvXi3fX76/OHdfvrNa6mjwmx/6Y/dr/FXnhG8L90nmctelvxtq6Q08qD7Pcr0PimAYCD0BByK0BMAAAAAADhdXfs7tfQ6Ak+EOu0GLE+JlaJDX9p41awV060rUHc6Jk0dIKde6CeJz/axcDPxmT7u830l6eUHJGXWSMlY9ILkfPymFOxc881I2+Z0KIaKapeFjtYJm3jSuj2Tptxv4189Y36bEHpakHi2BZ7aLWtjcjv9QCLuPMf9vvaWnE/elvKkSAtcm0w7eN3vv3ZhFh//SnI/e1fSF06QpMn32LhaC227/8y+B62T9YSfp2/n/jrqngssED81qZ/7MSdK/vbVUpEa531iAMFA6Ak4FKEnAAAAAABwMg0zAwWdvmKcLRxDA77KCnGVFktVboaNVy3cv0lyP3/POgQ12NQQNG3+ODvV83q5Xl90cLOUn4qUqoJsC0+tO9GhI21ro7sri9zvR+rc0RLz0FU29lWDQwsGe/mFhIGCTv/S2+hYYC0dE2yB49kS9cDFkjx1gHVPNqtz0n9kccJJydu83PaE6lhe7fDUwFM7Nk+PKNYA1vfaaytvQKuv30bduh9DO381ANdjoDT6iPfJAQQDoSfgUISeAAAAAADAyeoKPQk84WQanHn2We6Sgq8+lrzNy6xjMGfDQjvV83q57rvU2zV5DGtdfDsp3Y+tnYsWqAasEs+p7Q9tud2SusMya9Vr1vGqI38j+59n+0+ta7Lbmd4QtLYQ0Xu5L0B0n9fw0QLEQZfaaFvtxtROW1dZsfcZm8D9uVVXlEtVfpaURB6Q7I/ekMTn7pCo+/5oz3/6NZ4OXt2vqWYo61+ng1r3az59H/dr7/VziR12te05LTq0xUJhAMFB6Ak4FKEnAAAAAABwOg03awaejLNFe+Aqzpfy1DjbCVly8msblaohqJ7qeb1cr3cV5XvvEWQ2prVcqtyPr7spK9ITLGC10q/dpc+vpSN1qwpyNK313jn49DkK934qWR+8KsmvDrYxrxpcnrj5/8mJG/9Nwm75D88o2K4/8daZ3nJ/7R0RG97FswtUOzwj+51rj6E7MjPee07yv1whZQnhnvC2iWwcb1mxd7TtLttDGv9kJ+vQDOv0Q/dz/8gTunrDy9PBZs36TujpDTwtsPVe5664Ef+QvC/el7LECPuc7LW72leXL9DaCD2BNlCtf+lo5r+cIvQEAAAAAADtgS/4ZH8n2hMbd1tSYGFiZV6mVOakuyvNc+o+r5frGNVm7Z+sjY7b1cCzMNdCTu2y1BCv6Oh2KT66w77WALboyDYpOrxNisP2SHlytLjKSrwPEHzazViRlmDPm/PxW5I0+V6J7H++HL/h/5Nj//ienLjx//dNsKjlDTo15LTLbX+npzRw1A5PDTyzP3xdivZ/4QkONbhtRmion0VVUZ4FwTp2OGPxJIkffbON4w277Qf22k6HnVo1w87ayi/orFmJE3raKGTde6odps0JbQEQeiLE+MJAl/t/nLSqqqoClu96XwUjRKxLzdelFeh11ayWfH2EngAAAAAAwCl8o2xrCzUZZwsEh4ad2j2q3Yq6l9JG7O5aJ7lfvG87RHM3LvJ8vWmJjdrN/fQdyduyXIoOb5WK1Di7/7cF8Xea+jvVgmwLXtPffVZih//DRsaG3fZ9G3F7svfPv1u+0ND9tXaGRtx5ju3wTHiyk3V4auCp36uO8LVO1Wb8DlbH/FbqTtb4EzZ+OH3B0xL32PX2GsJu/b439HS/Fv9As6HlF3QGqtTXR1j3rb4GAE1H6ImQoeFgbm6uxMXFyeHDh2X37t2ybds22bJli3zxxReyceNGK/1aL9+3b58cO3ZMYmJiJDMzU8rK3P/D1gIqKiokLy9PkpKSJDIy8vRr27p1q72WTZs22anva32NeqrX79279/RrTE9Pl6KioqCFn4SeAAAAAADACWqOsKWbE2gh1dUWKpbFnZCiA19YmJm95g3JWPyipM0fJ2lvjpW0t570fD3/KUmbN1ZS542R9AUTJGv1TMnfttL2jGro5xt569Kdn7pzNFijb10uKU+JtXG0aXPHWKdj3OM3StzIf0rsiH9IzMNX287PmAevlOghV9hpzENXSezwv0vcqJskYXwPSZ46QNLfeUbyt660Dsnq8uD8Xli7UbXLU98DDYhTZo2Q2EeusdG0LR16+ipzyWTvqwHQFISeCBnl5eUSFRUl69evl1mzZsnEiRPl8ccfl4cfflgGDRokDzzwgNWQIUPs8kmTJslbb70la9eulUOHDkl2drb3kYJLg0oNLTVoXb58uQWN+tpGjBghgwcPloEDB9qpvi7f69TLRo4cKc8//7y9xnXr1sn+/fslNTXVOkCDgdATAAAAAACEukA7O3WMLYDg09GoOqa2YMdHkrHkRUl57WE59UI/SRjfXeLH3majWuPH3CLxT7i/HnurxLnPx42+SeKf7CyJz90pydMflPQF4yV7zRwp3LPBwk/tfNQ9lxZ8BomrKM/CSgtmN70vWatmSPo7EyVl1khJfmWQnHrxHvfr7iunnr9LTk3qL0kvPyApMx+R9IUTJPvDWRZ2Fh/Z5hkJ28yRtv70sUpjjkr+zjWSuWKaJE15wAJYDSN1xG54l594wslAoWZDSnd6dvvpt0LOQKVBcNbyV7yvCkBjEHoiZGiX565du2TmzJkWHt52221yzTXXyGWXXSYXXXSRnH/++VYXX3yxXd6jRw8ZNmyYvPLKK/LJJ59IbGysVFYG7398fXJyciywXLRokYWdGmreeuutcuWVV8qFF14oF1xwgb2+//7v/5Y//vGP9hr19G9/+5v07t1bRo8eLbNnz5bPP/88qK+R0BMAAAAAAIQyDTdrBp6+YpwtEGTVLqnKz7YuxcxlUyXx2T4SM/QqibrvQonsf55E9v2djYaNuOu3nq+17nKfd18W2e/3EnXPBRI98BKJG3mdJE2+RzKXT5XCfZ9KWUK4VOZp8FlinaTN534MXQdWVWWjXKvyMqU09pgU7N0gORsWStbK16wzVTs5tTIWvSCZH7wqOR+/aWFkSeQB241qY2A17GzmSFt/GvDqftPczxdJ+sKJFgRHD77cAkvbM9r1TE8wWTPMbGj1ONv2lJ7s/rPvBJ2BiuATaDxCT7QpDQCLi4tt9Ovx48flww8/lOeee0769+8vt9xyi/zjH/+Qq6++Wq666iq5/PLLLQD9y1/+YpdrKKq3Gzt2rCxcuFD27NljnZQlJSXWTRmMMbL6GBkZGdblOWPGDHnooYekZ8+ecv3119truvTSS0+/pr/+9a8WhOr5K664Qm688Ua555575Omnn7ZuTx1/Gx8fT+gJAAAAAADaNR1fW1fgSacnEDy6y7KqME8q0hOlJHyf5H72nqS89pDEPPw3iejzSwnv+hML2nQ0q3YrhnU6w/O1nXd/7S693qr7Ty0IjR1+rSRPe1CyP5rtCT7jTtjY3JbiKi2SssQI2yuq+0fztnwguRsXW+VtXib5Oz6SwgNfSGnMEQt2W4qFnse/kpxP35G0t5+WxGdul+hBl1lgGZzQ86zT77W+z1H3X/ydoLNmAWgcQk+0GQ0UdVfmyZMnZfPmzfL+++9bsDhhwgQbDfvII4/YGFsNDZ955hkrvW7cuHEyatQoefDBB2XAgAF2u5deeskCP+0U1b2bOuo2GOGi7hlNS0uzHZ1TpkyxDtR+/frJfffdZ2N39XWOGTPGXqN2gWrp1+PHj5fJkyfLnDlzZMWKFbaXVENd3T3KeFsAAAAAANBeBRpn6190eALBoyNnq/KzbCRrwVcfS/bq1yV11kgbXRt17x8lvMfPJKzzd0NOz3nv1/7n3acne55t3aHxY262cbfa8Vmw5xMLVVuSfh86mle7PrWbUwPckvC9UhKx38LOslORUpmdKtUV5d57BJ92nepz5m5aIunvPiuJz98l0YMvs/fEwuGuzRtvG97jrNPvuXbY6mjh1LmjbYRvzbBTi05PoPEIPdFmNFBMSUmxwFN3eGpQqIGm7sF87bXXrHtTx9bu27dPTpw4IRERERIWFmajZnXvp47B1fBTw0cNHl9++WV59913raNSd3CWlTV/gbUGp8nJybJhwwZ54YUXbHenhqxTp061MFOfa/fu3XLw4EE5duyYBZt6evToUXvNuqM0MTHROlk14NXXFIwOVEXoCQAAAAAAQgmBJ9BK9PeLLpe4SoulPCXWAs+M9563HZixI6+TqAcutlBNw7rw7j/zlHYZ1lXe22nYpveNuv8iiR3+dxt1qx2fZbHHvE/eEqqtY9VVUihVhbnWVaohqKfcX7svcxUXiKu8xDPStoXYTs/oI9ZZqiN1k6bcJzEPXmljaT07PX/sCSQDBJoNKX1/w277gVXEXb+ThHHdJGPJJCnY/bGkzR0tCU91Ph14agVCEArUjdATbUY7HjW40wBTOzW1q1NDTw0zV65cKTt27LBxsBUVFd57eGhoqLsxdRSuBqQjRoywIFLH3OrjLFu2TI4cOWJjc5tDn0dDSg0t161bZ52mGnrq8yxZssSCzaysLCkvb7l/XVQXQk8AAAAAABAq6hpnq6UjbwEEicsl1ZUVFgZql2fOJwskacr91pUYccevvwnaepztqYYEdXobu627enlCNxt1O+Ifkj5/nBQf2W7BZHvmKs6X8qQoKTq0xf2ezpeUmcMk9pFr3e/Hz4PT6amhp3fEcGT/8y2kzl4zW4pPfCUV6Qn2/JlLX7bnCBRu6mX2/LVcD4DQE21IOz11X+ZXX31lIeIbb7whCxYskLVr19p+zujo6FoDPA0b9S/Lvg7Rxx57TB599FEbLTt//nzZu3ev5Ofne2/deBp4aihbWFhoXaOrV6+25xk4cKA89dRTsmrVKgteawayDaWP39yOT0JPAAAAAAAQCurb30ngCQRXtatKqstLpTI33cbAZq2aKYkTekpk399KeJcfefZG9jjrmxCzIUGd3sYbklrXZ2f343T7qUQP+JMkvzpE8reulIq0eE/wqb/XbObvNkORvad5GVKWECYFuz+R9IUTJW7Uv+Tk7b9oRqenJ6TU0p2p1unZ6QwbP5z08gOSt2mJlJ2KsMCzuqpCP1zvq/ku3+P4F+En8G2EnmgzGvoVFRVZeKcjYXVs7eHDh20np46Uzc3NrTVUzMnJsbG32tWpo3B9wad2Yc6ePdu6RHWvZ1Np4Kldnvo8unNUR9lqF6qGnnqqoWdcXFybdXkqQk8AAAAAABAKNNSsLfAEEHwajuko2IqMU1J8dLtkLntZ4p/sJBF9fuUJ1TqfISc19PSFYwHDuJr1TZBmHYnux9CQL/Lu8yXx2Tska/VMKTqy3cbpaoepdpq2OxbmutzvbYF10OpY34TxPWzcr+47bVKnp97eFyZ3+6knPHU/jobJKTMfsX2pOsa3Pv5dnjVLA2/CT8CD0BNtSrs9NWDUcFMDRC39Wndp6nW1dUNqGKnjZXXn5zvvvCOTJ0+W0aNH247PGTNm2F+2MzMzvbduPH1+HY+ruzj1eZYuXWodnoMGDbJuUu381E7P0tJS7z1aH6EnAAAAAAAIFTX3ebK/E2g52m2pey/LT0VK4defS8ai5yV+zM2ejkQLPX8knjG1AUK4hlSPszwhn7si+/5O4p+4TdIXjJe8LculOGyPha3aFdmeVeZmWHdr8isDJXrgn+29tZBR3x8LG/X99Z6vq/S21nHrCSj1fhqi6u7V9IUTpPj4rgYFyN/cv/Yi+AQIPeFQOrpWOzA3b95sgeTUqVMt8Bw5cqS8+uqrdrkGlk0dIavBqz5HUlKSHDhwwMbvatj50EMP2V/aP/74Y+tGbe6I2uYg9AQAAAAAAG2htnG1vuCTcbZAy3KVFUtFZpKURHwteV9+IGlvjpW4kf+04Cvs1u97Oj2bHXqeYWNYdUdo3KPXS8rrIyR73Twp/Hqj7b10lRZ7X037pKGuddEueVESn+0jMQ//1bpe9f2x8cFa3X5q75WnPN2cnjrLO17Yfaqjgru7b9frPy1A1g7PuMdvsDA1Z/1bUhYf5n3G+tXV7elfhJ/oyAg94Uga7EVFRcm2bdss6HvllVfk8ccfl+HDh1sAumnTJklLS2tyKKkdp9pNqiNsdT/o4sWL5ZlnnrG9ofr4+pf35uwMDQZCTwAAAAAA0Np8+ztr6+Qk8ARanqsoX8oSwqVw32eSveYNSZ4+VGKGXW2Bl3Z6Nm33pF9pWNf5R9btGdHn1xI7/O+S/MpgyfzgVcnfsUbK4k7YeN32rLqqUsqTY2z8bNbK6fb9xzz8Nwsxj9/w/1mF3fofno5YXwja5Sd2qpdZaKynnX5o4bF+HtEDL7FRtGlvPiE56+dL8ZHtUpmd6n3GhiP8BGpH6AlH0sAxIiJCtmzZYns9NYjU0HPEiBEWgH7xxRfN6vTUsbUZGRn2HDt37pT33nvP/jKvI3R1h+j27dulsLBt/4ed0BMAAAAAALQWDTP9x9fS0Qm0nar8bCmJ2C95m5dJxuJJcurFuyVm6F8ssLQQrim7J/1L9096g7yIO34jsY9cK0lT7peMJZMlb+tK23epey/bNdvt6d2bemK37fdMnNBLTvb+uRz/5/esTtzy798OPd3v++nQs9MZp4NjvVxH2sY9fqOkvfWk5G9bbe9hZU6auMpKvE/YOBpoaoBaM+isWUBHQ+gJR8rOzpbDhw/LunXr5O2335YXX3xRxowZY6VBoHaANmenZ0lJiaSkpMixY8dsVO78+fNl3Lhx1kn6wgsvyJo1ayQ6Olry8vKkqKjIgkYNYvVUw1C9TB9Dx+TqbtKWUFvo2dZhLAAAAAAAaF98Y2sDFYDWV5WXZbs1cz97T9IXTJDE5+6U6CFXyMleP/eGb2d6Qq9AgWZDyj/0vPM31umZNHWgZC57WfK3r5bS2GPtvtPztOpqqczLlMJ9n0va3NHW7enZ73m2jf6NuOu3Fmh+U7/xXH7HbySy7+9tJG7UAxdL7Ih/SPIrgyTnk7e9obH7/QvC6rS6uj7p9ERHxN9M4EgaSGqX57x58yyEfOqpp6z063fffVf27dsnubm53ls3XnFxsYWKus9T93dOmzZNhg4dKrfffrvce++9Mn78eHnzzTdtn+jy5cvtVDtOV61aJWvXrpWNGzfaWNzY2NgWCyF9oeeNN95ooeddd90lH330kVRWVnpvAQAAAAAA0Dx1BZ5atY25BdByqvKzpCR8n+RuXCLp7z4rp56/yxt6aqfnGUHo9NSdnp4RrRreeXZ6DpfstXOl8OvPpfxUZLvf6emvuqLcdm9qZ23a/HGS9NJ9kjixtySM6yrxY26RuMeul9gR11k4bOX+Ou6xGyT+yU6S+NwdkjxtiKS//bTt8Cw+ulMqc9LdD+p98CCpGX5qF2ggBKFo7wg94Tg6sla7LDVk1KBzyJAh8sgjj9jOzTfeeMO6P8PCwqzbsqn0vrrPc/fu3dY9OXHiRAs8//rXv8oVV1xh+yu6desmvXv3ll69eknPnj3t+rvvvlsefPBBefLJJ+21aJdocnKy91GDS0PPmTNnyg033CAXXHCB9OvXzwLa5mjqOGAAAAAAAND++PZ31laMtwXaRlVhjpRGH7auS+2+1BDOxtv2/E/bIakdms0JPcM19NRdlLf9wDoX48feKukLJ9ho25KTX0tFZpJUl5d6X00H4HK53/NcKU+KluLjX0nBrnXWsZn5/ku2nzNl5iOS/OpgSXp5gCRNHWAhZ8qskZK+YLxkrZ4p+e73rfjodgtOK7PTWvS984WfgcJN33UaiBJ+or0i9ITjaOfk/v37ZdasWTJgwAALGzVo1L2eGlDu2rVLEhISpKyszHuPxtMxtVFRUfaX93feeUdGjRolt9xyi4WLv/rVr+Scc86R888/3zoszzvvPDn33HPtuksuuUSuvvpq6dKli43C1a5THZHbnAC2NjU7PXW87cqV7v8BLe44/8oKAAAAAAAEn/4+pK7AU68D0HZcxflSlhghhfs3Sfa6eZIy42Hbu6njbYMbev5QIvv+zhOSrZgmRYe+lPLkaAtdqysrvK+m47H3PyHcul5zNy6S7I/ekMwPXpWMpVMkc+nLkrVyumR//KbkffmBFB/dIRXpCdYt2lqKj+3yfvVtdkz4FcEn2iNCTziCdiDqjsz09HQ5ceKEjZDV8Sl9+/a10POxxx6z3Z76l/KTJ09KVlZWs8a86mhcDSu1c1KDRe0k1dBTQ82LLrpIrrzySvsL/k033WSlezV9p1qdO3eWgQMH2ljczz77zF5TRkaGBZJVVVXeZ2keDT21m1RflwawN998s7z00kuydetW63TV9+ngwYPy9ddf27hfHberp4cOHZLw8HCJj4+XtLQ020taXt56/6MLAAAAAABCl/5uJVDQ6SvG2QJtz1VWIpXZKVIadUjyd3xoo1PjRv1LIm7/pYR1OqPpoac3DAvv/jNP6OmuyP7ny6lJ/by7KI9IVX6mp1PRFZzfcTqVL/jUULNw76eSv3ON5G9b5a7V1gmqgXRJ+F4pT41r1cCzNr4uz0BF+In2hNATjqChp+7x3LNnj6xYscLCRA0idY+l7ticNGmSrF+/3sLFzMxMKS0tFZfL5b134+lj6HMtXrxYXnzxResk1XG22lXZvXt3GTZsmEyePFlmz55tuz219Gu9rQawgwYNkocffth2f86ZM0c+/PBDezwNKpvTgeovKSlJ3nrrLenatat1mv7pT3+SHj16yKOPPipPP/201RNPPCFjx461TlV9XaNHj5bnnnvOXtPq1atl+/btEhER0az9pwAAAAAAoH1gfyfgEK4qqa4ok8q8TBs3m7VqpiQ83d1G0dpOz6aEnhaAnS0ne5wt4d1+aqNtda9n1L1/lORXBlmgV5GZLNUdPOz0qa6qlCr3+1+RFi9lpyKkLO6ElMYes9IxtjoKtyLjlFQV5Xnv0bb8Q87aivAT7QGhJxxBQ8yjR4/K0qVL5YUXXpCRI0fKAw88IPfff7+FeRr+aUdjTk7O6U7K5uyn1I7Sbdu22ePqrlANOTVc1ecbN26cvQ7tmNTgMTs72yoxMdGCzSVLllj4qYHj448/bqcakOoO0iNHjth43mDQXaELFy60naIaev7iF7+wUbuXXXaZ7R311eWXX24dqhdffLFceuml1omqY4E1KNbX+tVXX0lqair7PAEAAAAA6ODqGmnL/k4gNFVmpUjeluWSNOV+ibr/Ik9o2f1nfkGmu2oGnIFKb+e+r6fOkvBuZ9rlMUOvlNQ5o6To4GZxlbJW67Rql1RXllvXrb4vrpLCb6q0yH15sXXEVldV6C+qvXdqOxpo6pji08dELUXwCacj9ETI0hBOA0wdCas7Oj///HPr8NRdmTo6Vrsvx4wZI6+88oqsW7dOYmJimjXS1p92emoYqJ2e+pz6Lxm1c/L555+3oFED1kB7OnWs7s6dO20PqAadGsgOHjzYulJnzJghO3bssIA0GAGjf+j5+9//Xv7rv/7LTjXg1HBT689//rOVBp66c1S7QfU/YDS81e9l0aJFtgNVu2gJPQEAAAAA6NgCjbbV3yMQeAKhq7qsxHZtpi8YL/Fjb5XoAX+SiLt+Kyd7/8LCT+3a1BAzUMD1rdKwVG/X678k4o5fS2T/8yRmyBWSOLG3BWGlkQdCIrxD8+hnGfDzr1GEn3AqQk+ELB0Dq8GedlRu2LDB9ldqyKmB59ChQ60Dc/78+TbWVjsoNXAMlvz8fBv7quNfda/nypUr5YMPPpA1a9ZYqKljagPR16z327hxo+0Y1a5QDRjvu+8+Gyur34feVztXNWRsTtCo741+/zp2Vzs9NdjUXaI6VlfH2WrpqNsRI0ZYp+pDDz1kgbGGtxrALl++3P6jRfd7aocsAAAAAACAf/CpgSeAEOeqst2S+V9+IOkLJ8ip5++ysFJH1Z646f+66//YqNrwLj+R8K5aZ1oXp53q+S4/9lzX5Uc2zlbDTx1pGzfqRhtrm/n+S1Lw1cdSkRrnfUK0Bw0NPwGnIfREyNI9k/v27bNuyylTptioWN2VqaHnk08+ad2U2o0ZHx9vtw3WrkxVUVFhj6kdkPr42kUaHR0tcXFxNgo2UJenKi8vt9G4x44dszBWX7eO4b3zzjttzO2qVaskMjLSHltv25y9ozpaV3dz3nrrrXL++efb2Frt3ty0aZMcPHjQavfu3RbSaoepBrh6unfvXhsVrN+PBqfBfu8AAAAAAEDo06lWtYWaeh37OwGHcLmkqiBHyhJPSuG+zyVz2VRJeKqLdWwe/+f35Nh137PwM6zTGRZqhmtp0Ok+tcs6/fCb085nWIdo7MN/k5TXHpKc9fOl6PA220/pKs73PiHak7rCT7o94USEnghJGjrGxsbK2rVrbT+mjofVPZQaemr34vTp0y3cC7VdlPq6dWenBpI6Nvb111+3kPb222+30Fb3ep44ccLG55aUlJzeP9oU2jGqj69h5x/+8Ae54447rBu1oKDAewsAAAAAAIDv0kDT181JuAk4nP5uVCfKVZRLRWaSdWWmzHxEogdcYiFm2K3f94y47fVzb9XY46nV23357b+UiLvOkehBf5bEZ26XrBXTpfjEbqnMzbTH1nAV7VOg4FP3fwJOROiJkKJBYEZGho2I3bJli8ybN8+6OnU0q45pnThxosyaNcvGzGp4qLcPpuYGqNq5qR2curdTOy3nzp1rOz379Olj42Z1pKyOk9XrdcRtc0PPmTNnyg033GD7Ovv162ejeJuDvZ4AAAAAALRv2t3pCzx9xc5OdCjVLqmuLBdXaZFUFeZKVX6Wt7KlqsBdeprnvawo3xP4OUR1eamURh+RnHXzJPmVwRI/9haJHfEPiR3+d4kddo3EDL1KoodcIdGDLz9dMUP/4r7+Wokb9S9JHN/DRtpmLHlRCnavl4q0BKluxu8v4Sz+4WegLk/f9XSAIpQReiJkaOCm42R1JKvu0NQdnvqvDTUsHDt2rLzyyivWyagdlDoiVoPD5oSGgTQ39NP7V1ZW2shY3TOqOzd1x2b//v1tv+dHH31ko3K1G1Nv15zxtr5OzxtvvNE6Pfv27WthcLDfEwAAAAAA4Hz+uzoDFcEnOoTqaqmurLAwsyLjlI2ELY09KqUx7oo9JmVxxz3now/bZeXJ0e7b5nnv7AAul1TmZkhp5EEp2LlWcj5+y3Zyps0bK8mvPSRJL90np57vK4nP3mF16oW+kjTlfusMTV84UbI/ekPyt62S4qPb7Xt3FTNRriMqPrbL+9W3+QLRuoJRoK0ReiJkaOej7sJcunSp7abUsPOxxx6Tp556SqZOnWpBqO6izM/PD9mORA0ctftU93ru37/fQs+RI0faiFv9nj799FPbo6k7NPV7aM73UTP01PG2K1assPG6AAAAAAAAPv7jbAMVI27REWjHoqusxDo5y1PipCRivxTu32TjYAu+WicFuz+Rgr0b7Hz+zjV2WnRku/u2MdYZ6gj6+0ZXlXWnamBZkZ4oJWF7LcjMXjtXMpe9LOnvPitpC8ZL+oIJkv7e85L5wau2u1M7O0tjjlhoqh2j1VWVnpG2Ifp7WLQu/y5Qgk+EMkJPtCkN/XxBoe7B3Lx5s8yYMcOCQh1pqx2er776qrz//vvWAardnS1NX5Pu5iwqKpKcnBzJysqyUw1bi4uLbXxtbR2avsBTR9jq9zJ79mzb5ak7SfX70H81qfs8m9Ph6cNOTwAAAAAAUB8CT0A83Z0FGnbGnA478zYvsyAwa+V0yVwxTbJWzZCs1TPd51+TzOWv2E7LnE8WSOG+z6Qs/oRU5qaLq6RQqstLLATVcFFH5br/n+dJQpSGvNq5Wvj1RsnftlpyNy2R3M/eddd7kvfFUgt4iw5tcX+PYXR2IqDaAk//IvxEqCD0RJvScFFDQN3huXPnTlmyZIl1ROr+Tg08NdRbv369jYrV27UGDWE1XD1+/LiFlJ999pmdHjhwQKKjo23nqL7uQPLy8qwb9ZNPPpEFCxbICy+8YN2qo0ePljlz5siePXssPA0GQk8AAAAAAFCXQPs7/YuRtugodH9nWUK4dW9mr3lDMt57TlLfeEySXx1iI1+TXrrXxrwmvTzAfXqfnJp8j12eMuNhSV84QbI/mi35W1dI0eGtNhJXuyFdZcWebkgLPkOXBr6V2SmeUb5Rh6QkfK8Un9htVXLya+vuLE+Kksq8jJD/XtB2GhJ8ahF+oq0ReqJNaTflyZMnLVh899135eWXX5YnnnjCuiMnT55sOzB1f6d2ULYWDTTj4uIsuJw5c6ZMmjTJuk+XLVtm/zGgXZy1BZfaraojbPX2EyZMsO9Dx/Tqv5pcvHixhbfB+l4IPQEAAAAAQCD6+4u6Ak+9DuhIKnPSrbszY8mLcmpSf4kffbPEPnKtxAy9SqIHXybRgy6V6CGXS8yQK9znL/ecd18e8/DfJO6x6yVhfHdJfnWwZC6dYqNwT3d+WvBZ5X2WEOVyecb6FuVZt2tVXqaFtlpVeVnuy3Ksw1NH2jLKFvVpSPiZOKEn4SfaDKEn2lRubq51P77zzjvWFakhoY61HT58uLz44ouybt06CyB1pKzSsbAaStZWlZWV1qmptwu0L1Mv0+v0Nv6387+tPldUVJTtEH3uuefk0UcflXHjxn0r+NSOT//dmXp//V50j+fChQvlySeflGHDhtmY3okTJ8qsWbOsY1UfV19jMBB6AgAAAACAQAIFnb5inK1PtSfgsXIFLpf/+e/+ngmhzbPbskyq8rOsw1H3Vmo3pwabEXf+Rk72+i852fNsCe/+M3f91F1nyckeZ3nOd9PzP/OEOL1/LpF9f2cBadLke2wcbuHXn58OPvU5gI6Erk+EMkJPtKmUlBTr8pwyZYoMHTrUgrvu3btLz549ZdCgQfLSSy/JihUrbD/m1q1bZdOmTdZJqbVhwwY71fvr5RpG6t7PEydO2OPq/k3/3ZkaNupuztjYWBtBq6UhZGpqqgWWpaWlFl5qeKodm/p4b7/9tnWfagCrr/G1116TefPmWfipIebGjRvtufU1aFfqm2++KePHj5cHH3zQwlvt9tTbr1271gLRtLS0b72m5iD0BAAAAAAAgdTW5Ung6UcDsfJScRXlWyjm63zTEZ+Vvk64nHRPN1xRno0IhXPozk39XMsTI2wkre6vTJs7WuJH32QBZnjXn0hYpx+66wwJu+0HnrLz3rLLvNe7K7zbme77/d66PpOnD5WsVa95Oz7DbHQu0BHVF34SeqItEHqizWi4GBMTY6HmmDFjpEePHvL3v/9drrjiCrn00kvlr3/9q9x6663Sv39/GTx4sAwZMsSC0AEDBsgDDzwg9913n9x///12mQaMOkZWu0UXLVoke/fulfR0919M/boqdayshpwalmqYqbVmzRq7rXZu6s5QDT61A1TH7mqoePDgQQs29TFfeeUV6+DULlQNNfV59fnvvffe06WvtW/fvva1dq3Onj3b7h8WFmaBpwax/l2lzUHoCQAAAAAAalMz+NR/3A0vnfxV7ukALE+JldLYY1IaddBT0YfddURK3F+XROx3f33IfZsYG/8Jh3B/vvp52Q7PnWtsJG3ytCES/8RtEj3wEono80sLMTX4DO/qO/VVgPNdfmy3j+jzK4l64GKJe/wG2/eZufQlKTq4WaoK87xPDHRMgcJPAk+0FUJPtBkNIXWf5/vvv28jZDt37ixXXXWVXHTRRXLeeefJ7373Ozn33HPlj3/8o13mXxdeeKFccMEFVn/605/kyiuvlOuvv17uvPNO+1eLuo8zISHBglUfHUd74MABCzs1vHzqqads7KyGoIcOHZLExES7jX8npo66TU5Oti7TOXPmyGOPPWbhov6Hgwaz559//unXqa9Lg9pOnTpZMPv888/L6tWr7XvUEDVYYacPoScAAAAAAKgtzNTLNezU32EQeHpVV1sHoAZildlpFooVH9spBbs/kfwdH3pq11op2LXO8/W2VZK/c40UHd0uFWnxNi4VIUx/91btkuqKcuvS1c8264Npcuq5OyVm6F8k8u7zPWNte/9cTvY4W3S0rQU0vbxBjZ76yv9yva2W+34afEb2O1diHrpKkqcOkLwv3pfKrBTvCwA6Lg05dZen/cy4q/jYLu8139DbEIaipRF6os1o6Kmdnrq3c/LkydbJ2adPHws/b7rpJvnnP/9pnZ/XXnutXHPNNd+qq6++2gLGv/3tb3YbDf50LK52X06dOtW6K3VErX/oqcHjkSNHZPHixdYRqjV//nwbT3vs2DG7faBwUrs/dWSu7vjU1/nwww9Lr1697D8a/vKXv8hll11m3an6Orp06SIDBw60PZ4LFiyQXbt2SUZGhveRgovQEwAAAACAjs0/2AyEsPPbdJxtZXaqlMUdl+KjO6wLMGfDQsla+Zp1A1otf0UyP3jVvs5YMlkyl02VnE/elsJ9n0lZ7DGpzEqWqsJcG2mquxwtCA3yP3RHE2moXVXp/myKpSI9UQr3fipp85+SuJHXWVhp3Z22p1NDzLM8p7rXs87SAOeb29vuz24/lYi7fisJT3a2Y0ePC8YfAx51BZu+QFSL8BMthdATbUa7KDUQPHz4sHVm6gjZuXPnysyZM2XatGm2S1NDxkmTJp0OKX2lXZTPPfecle7b1NvOmDHDgkbt3Dx+/Ljt79RRtT5lZWXWzalBpO7Y1NIOTr2tBoh6e71NTdr5qXs/dSenvk4NTbVDVPeNalep7u3UkFNfp+78fOedd+yxd+7caaGuBqktgdATAAAAAICOS38n4T++ln2d9asqyLGRtXmbl1mYmTZvrO1nTJp8r5x6/i539ZVTk/rLqRfd9UJfSXzuTvf5fpI87UFJmz9OslbNcN93qRQd+lLKEk/a7k9XWYkFbQSfIUBDT93lWZQn5UlRkr/jI0md/ajEPHilhZW6p1NH1no6PLX+M0DIGaD0dt5uT72/7vjUy2NH/EPS3h5ngXh5apx1EHvCT44FoCYNOf1DT18RfiLYCD3RZjRM1JAxNzdXUlJSJD4+3kJC3bsZERFhY2HDw8NPl+7F1PL/2ndeb6/3i4uLs4AyPz/fQlX/rk19Pu0uzcrKspG1WrrHU2+rl2tXqP9oWx99DO321FBUX6eOzdUdoPr69Pm1C1RLX0dkZKS9Bt9ja+DpH7wGE6EnAAAAAAAdU83Ak+CzfhpM6v7O/K2rJO3NsZIwvoeFVhqIRQ+6VKIe+G+r6AGXSPTAP0vUgD+dPq+30dsmPNVFkl8dLJnLp0rBng02HtcTfBaLMPq27VW7LISuzM2wPa15W5ZJyoyHJXrwZbab00LPbmfKN2NsAwSctZU3oNH7W+jZ4yw7LjQQ105gHYGsu181cCUAB76ttsDTVzoWl/ATwULoCTgUoScAAAAAAB2PjrINFHhq1TbmtsOyzr8KcZUUSUVmko201fG1iRN7SdT9F3l3O55lI081FLPq5hlfaqNQu/7EvrbRpr3+SyL7/k5ih10tSVMHSPaHs6TwwCYLPqvyMhlvWq9qTxioOzddVRZC11UWIjc2PHTfR7stK9ITpDhst4WR+llpgB3e5ccSduv37XP9TqDZiPKEnj+04yLa/bjaEZy57GXbAVsaddACV/0e0YF4j2s9/qqr6jm27bjueMeH7vcMFHbWLIJPBAOhJ1CLmrs9Qw2hJwAAAAAAHYdvf2dtReBZgwae2vWXlSKlUYek4KuPJXv165L8ymCJHXaNRPT5pYR3+ZEFWNq5p12AVnbeW6fPu693l45Ijbz7fIkbfZOkzBhm424L9nwi5UmRNlYVddDPo8qzb1PHDFfmpElldortWLWvfefdn5d+rR2TevvG0EBJO29LY49Kwe71kvnBKza2OOq+CyW8s/uzPt3pGTjQbEh9E3qe6X7ci6xjOG3BeMn97F0pPrZTKrKSO2So1ZHpcecqL7Fdv5W56Z5j2ld2XLtP3ceFnuqx35H/rKiv49NXhJ9oDkJPwKEIPQEAAAAA6BhqG2frK8ba+rGuK0/AVpWfJSURByR342JJm/+UdeXFjrxOou79oyfA8u/uPP21X/mf167P7j+TiDt+Yx1+cY/fIElT7pOsFdOk+PguqS4v9b4ABKIdcBp4VmanSVlihJREHpSSk/vc9bV9Rlbh+6Q4bI/7ugM2ilhv3xj6mVdknLJRsxpC6meeMK6bRN5zgX1+vuC6ZpDZmNJjJazzj+xUw9T4JztL6pxRkr12rhQd3CIV6Ym6Y8v7itDuuT9r/dnXsL08Odr+gYXnuHZXxH47lvVrO67d58tORXpGIHdwhJ9oSYSegEMRegIAAAAA0P4ReDaShp4uz25HDcAK934m6e9MlPgnOllYGXHXbyWiz688IVaPsz2/XK8RbH2n9Da+297+C7t/ZL9zbdStdnwW7FxjXV4IQEd+uj8L7XDTQLA0+ogUHdws+Ts+krwvV0je1pWSv321lZ3fstz99Yc2irixAaKOGNawtHDfZ5L14euS8voIiR9zi0Te/QcLKXXErQbXAT/jBpaGpr7HOR16vvG4ZK95QwoPfGGjdQk9OwAd01xRZgFmZWaylMWdkKIj26Rg11r3Ma3H9Qrvcf2h57we19tWWTCu4ajet6PTQFN3efoCzkBF6ImmIPQEHIrQEwAAAACA9q2u/Z1aOvIWNWgYoXs8iwukPClK8reutGAyZsgV9kt0X8emhZiNDT11t6f71Nf9Gdn/PEl8to/krJ9vz9XYcawdgaukUCrSEqyTs/DrjZK3eZlkf/SGZC59STIWPe+uFyRjyWRPuc+nv/usZLw/WXI+fksK926wkFSDRN2bqp+phkW17UX0hJ4xUrD3U8laNVNSZj4icaNvtpHE9plph2ZzQ0/r9NSO0Z9J1P0Xe8bbzn9KcjYstA5T3R1L6Nn+WXdnVvI3Ib77z5nsdfNsv6sd03Zcv2jHsn5tx/XiSRaO6z+S0K7PitQ42wHrKs638bj250cHHI1cW9cngSeaitATcChCTwAAAAAA2q+6dniyv7MO3nGTOtq2NO645G5cJElTB0jU/RdZh17YbbqP8adysqcGng0MPXv5fhHvCUrtcTqdYR2f8WNutjCj6NAWqUiL9wRzlRXeFwPdY1h0eJvkfPympC+cYAF00kv3SeKzd0jihF6SONFdz/TxlPt8wvieFiTrZ5Y2b4xkLn9Fcj9/z4KlssSTnvCzzBcQVXufxUPfd/0MtONSA6jUOY9L/BO3eULPYI237XqmZzeo+zTqgT/ZyOTMZVMlf+dHNtpUQ6yOGFx1NNq5XBK2147NjPeel9RZIyRpygNy6vk7Pce0Hde327GsX2s4ruf12E994zHJXDJZcj55Wwr3fmo7aHX3p6u0yH1cu//s6KDHT83ws/jYLu8139DbEIaiPoSegEMRegIAAAAA0L4FGm3LONu6aReghgcVWcm2L1K7MJMm3yNR915guxjDOv2wed1+PT3dohqgnez9c4kd/ndJnT3SwlXd7VmeGmfdjRALJ8tij0vuhgWSPO1BiR/1L4l58EqJHnCJhdC6a1P3q+qYWCv3Z2SXub+OHvRniXn4bxI/9hZJnjrAdqfq2FoNPnV/oj52zXDIdnpmJkvxia8kd9MSSV840cIm2+lpQbU38A70uTaw7LO/9ft2Gj34Mkl+dbDkuL+/4mM73Z99rLiK8t0v5NthLNoX6yhOjpG8Lz+wAFOD9ZiH/irRA/9s3b9Regx7j2PPcf3H08d69MBLJGboVRI36kY59eLd1gWqo55LY499E3xqJ3MHVlew6QtEdSwu4SdqQ+gJOBShJwAAAAAA7Z//iFsCz/ppp5R2Yem4We2+zFo1w7oKdRSthl7WpReU0POH1vWpIV7Syw/Y8xR89bGFF/r8HVV1VZWn09b7GRTs/kTSF4yX+NE3uT+Dc93vn44H/qln3KzuxtRyv59Wp8+7r9OOTPdtI/v+TmKHXyvJ0x+U7LVzrIvTOj7zs78TDul5DUT1MyjY84kFpacm9ZOoB/7bni84nZ7uz957DGnQpaFX/o4PpSz+hD23fu+Enu1QtXaQl1mord3ERYe+lMylUyxU1zBTu8EDH9d63nts63kN3XucJRF3/kZihrr/7Jh8jx2nBTrKWTs+c9PpFK+Fhpy+0NNXBJ8IhNATcChCTwAAAAAA2g8NNGvb0anBJ/s7G6a6ovx0l2fe1pWS/s4zkvBUFwvPLPQMWqen+3F6nCXRgy6VxOfvsn2UeZuXup93n1TmZXhfTQfjcnl2eKbGWder7u/U0b+nnu8r0YMvtfdP92Fq+Gh1m+fz8JRepqG072t3uW+rAZGGSvFjb5WU1x+xcFlHgmpX5Xd2Z1a7n7+s2DrmSmOOSN4XSyXltYfdz325hU32mTWl0/N0yOIdbaydnu5jSLt8dWRv0eGt9pzVleX2GtDOVFfbcVWRcUpKwvdJ/vbVkvXBq/aPHbQbOaLPL93HhaeL3I5vPYZPH9v+x7Xv/Bl2HEb2O1fiHv0fSX51kO0CtfA8Idz21uLbAgWe/kX4CX+EnoBDEXoCAAAAAOB8Gmb6ujnZ1dl8rvISKU+OlsKvN0r22rmSMmukxI36l0Tc9TtPYNX5RxZWBgy3GlI9NfQ80x5HQzAdaZk4sbekvT1OcjYstD10GoB1KNrZ6C4NnCuzUqT46A7JXvOGpMx8RBKe7m7jPLXT1t477YTTjrju2hVXX53p7Yo7x0bixj12gyS9fL9kfzhLSiMPuD/smmNAfR2W1dZpWnRkm4WSGk5aJ55+9r7AW8OSmp9tbWW7XN3HjO5ztcBbRxv/wrpXMz94RUpjjtKd1x75jmv3Z1uVl2X/kCL303ckde5o288Z+8i1NsZWx1z7jteGHtd6HEbc8Wsb8xw74h+e3bDvT5Zi9zHrKi32vgD41Bd6+orwE4rQE3AoQk8AAAAAAJxNA0/f6FpfEXw2j3ZklcWHSf7ONZK5fKrtXIx99J8ScddvPeMlu/zYE2AFCrcaUj29wZ0+jvtr6/TU0HO+hp6e3Y4dL/R02VhbV0mRlCdFS/62VZI6+1GJG/lPibznDxLR51cWElow0eNsz2mg99a//G/b++dy8vZfSGS/33t2qM4dJYX7N9r+w7roGNzsj2ZJoo4gve9C92P80vNY+vj22O6q+byBykLPb26rnX06MvfU83fZvtKKtATvM6Jd0dBTdwSXlUhF+inrMLZRzWNuseNJQ0s9Lu24aMxxrceTlve41lBfx2Trn1X6s1OVl+l9AfCngabu8vS8h7UXwScIPQGHIvQEAAAAAMC5dJxtzcDTV+zubLrToeeOjyRzmTf0HOkNPXWvnlZQOj3PcH99tkQPvsy6tDIWvWDjXLUbTHc7digul3V5andlWewx64ZLeule62Kzzjffe67BUGPCIbv9WXZf3z5EDZuSXrpP8jYtsd2K1VWV3hfxXRo+F+xaK2nzn5LECb0kZuhfvOG3+/PTcaPa+amdd91/5i7v82jZeb/ydvBF3P5Le37dMap7YnV0sgZhVflZ3mdEu6JhfmWFuIrzbT9t/taVkjJjmMQMudx+9u24dh8fTT2u9dSOa3dF9v29BXrana5/fjHitnZ0faI+hJ6AQxF6AgAAAADgTHUFnlqEnk2nXVnlpyKlYM8GyVr9uoUUcY9db91UGnIFZbxtlx9L2G0/sMfR0a0arOo418J9n9tOvqrCXO+r6Risy9P9vmvIWBKx34KbxOfusJ2Fvp2GFg5Zh5s3lAj03n6rfOHF2fY++z473c2aML677VQsPrpdKtITLJQKNF5W94uWxZ2Qgp1rrev31KT+EnX/xXLiln+X4//8npy48X/b52jHRBctbyiuz+XdvWiln7X7cj2G4h79p6S89pD72JopBbvX2+fNONJ2SsP88lILtcvijkvuxsWSPHWgHUOn/wzo9tNGHtfu8h7XFnrq4+i45Nt/KXGP3yjp7z4rhV9/biO69c8R/ccECKwh4SfBZ8dE6Ak4FKEnAAAAAADO49vfGaj0Oh15i6bTkEI7AHWfY86n70jam2MlfuytEtH3d57grNMZngAuUBjRkOrp2Q0Zduv3rVtLu/5S5zwueV9+YIFfRWZSvWNX25vqKk83nAaQxcd2SNaq16yz0t7zTj/0hDrNCpq94ZD7fdeRorqjNe3NJyRv81IpDtvjCT4DBI/aBarBZ0V6ohQd+lIy3nteYkdcZ6/HE3r+m/sx3ceDt9tOO0A9pWOQvSGo9zp9HdED/iSnXrxbstfMkeITu6Ui45T7+y6os9sUzlWto231+MlKtg7unE/mS9LkeyXq3gs9f5bc5g3zax6vDS39s8R9bNnPh/t87LBrbA9uzqcL3X9+bZfy5Bj7uULdags/CTw7LkJPwKEIPQEAAAAAcI5A+zv9i12ewVFdWW4dh6XRh6Vg1zrJeH+yBXCRd59/OjhrfqenBh4/sPNxj98g6e8+Yzsmy1NipKqo43Vn6SjOytwMKYs/IQV7N0jG4kkS/2QnCyitk1I7PYMRerofR/cgxj5yrSRPHyrZH8228bLWbVlHOKSdqBWp8ZL3xVLr1NORxDrmVkuPC6v+51lnqlXf33vKfZmOs40eeInEDrvaxo9meDvxKrNTLRRD+6VhdlVBtpQnRUrRwc2eMP/ZO9zHxfl2LFqnZ1BCT8/PR/SQy210c+YH02wncWnMEanKz/a+GtQlUPAZSPGxXd6v0J4RegIORegJAAAAAIAzMM629Vh3VmmxJ/iMOig5GxZK0pT7LLzyjZJsUlBhv0j3jKTU7kDr9Oz9C4l/4jbJWjFNSiIPeAJPDcKqq72vpmPQParlqXFSfHSH5H6+SFLnjrZRnRF9fuUJPXX/aVBCT+2I+7nEPHSVhUMZ778keVtXWsBd30hhV1G+devpvtH0t5+W5GkPWtdm4jO3S8JTXSV+zC32mjXE1tP4MTdLwriucur5u+y26W+Pk+zVr3tG2iaetHG+aN/0Hy9o53ZJ+F7r5E5/Z6L7WOkikf1+b8eihZXBDD0H/tmzK/bdZyV30xLrYq7MTfe+GjSEL/ysrcvTF4jSBdq+EXoCDkXoCQAAAABA6CPwbDtVeVlSuO8zSX3jMYkZcoUFbxqenQ7g9BfgNYOIQKW366GBp/t+3sfQbk/dL6mhWc4nb0tFapz3WTseHfFquzN3rZOsFdMl+dUhEjv8757QUztr7T13v3+B3tuGlPv9tzGz7sfSoDlm6F/k1Av9TodDGmZWFeR4X01guvNTb6Ofk44h1uMi97N3JXPZVEl7+2k7RnT/a/JrD9lp6huPS/qC8fb95G1eJsVHtklZQphUZqXYyFO6PNs/HZVdnhRlu3p1Z2/KrBE2Wll/7i2ED0bXeLcz7XH05yN6wCWSMKGXpL31lP2Zov+IQDuKERyBukEJP9snQk/AoQg9AQAAAAAIfXWNtWV/Z8vTbs/MpVOsIzPq3j9aEKfBmf3SW4M4PQ0USPiX/YJcb+uu3j+Xk7f/wkajasdhyvShkr/9ww49hrKqKN/9Ph+SvC3LbbTtqcn3Ssywq93v9a89AbHuxNT3LtB725Byv/8Wemp4evsvJWboVX6h5/tScnJ/vaFnTVWFOTY+tGD3J5K7cZFkr50rWStnSOaK6ZK1aoZkr5tnj63hqI7t1WAXHYt28+roZB01m7n8FQvz4x79H9tVe/p4bE7o2csTeuo/oNBj3Do9J/aStPkaei6Q4qM7pTI7zftq0ByBAk9fEXy2P4SegEMRegIAAAAA4Aw1uz11fyeBZ+uoSIuX/K0rJe3NsbbbM+bBKyXijt9Yd5WOqNXRq+Hdfirh3bV+9u3Sy32lIYf7sog7z7FwQsefJr8yyAKy4uNf2YjXjkpHx+qIWR0BmrH4RRs9G/Owhp6/skCn+Z2e3vG2OiZXOz3dj500dYBkfvCq5O/4SEpjjkpVUZ731TSc7iEtjT0mxcd22k5WDUALvvpYCvZskMIDX9jnqoFnVX6W9x7oSE6HnrvW2rGmY44t9Lzrt3Y8WjW307PrmZ6xzdrpOegyOfVCX/uHA/oPCLSDuTIv0/tq0Bw1g85ARfjZfhB6Ag5F6AkAAAAAQOipLcz0BZ+Ms21duutRg60C7dZaOsXG0Ub2P09O3Phvcvy679lp2G0/9ISf3lGsnoDtR7Zr73Td9gPryoq85w8S/2QnSXvrSdsPqWNPK9ISbHxqR+UZb3tc8neulcwV0yT5lcES+8i11pVpO1S94zsDBj8NKfd97fNwfwbaaRs78jpJmT1Scj5dKEWHt0p5SoyNnG0sV3mJBZ8V6Yn2GOWnIqXsVISUJ0W6z8dKRcYpC510zCk6nm/G234m2R/NlpTXh3t21d71W8/xqH9mdG/mTk/9s0b/bHE/jv6DjORXB0v22jkWwuvu2Pp21aLh6ur29C/CT+cj9AQcitATAAAAAIDQ4gs2aws+6e5sfdVVleIqKZKK9AQp/HqjhZW6EzLs1v+Q4//zPTlx8//zdHHqmMlvdXbq2EnPaFY7r12ed/xaYoddbTsf875YKmWxx6QqL9M6wsTl8j5jx+MqLZLy5GgpOrhZctbPl5TZj0rco9d7dnp2OsMComaHnvo4t37fgtT40TdL+jsTpeCrdVIad0wqc9ObFky6PzM9Pqory6W6osxT5d5TLb3cfX1H/mw7Mj0G9M+N4mM7bASyjp2Nf6KTRPb7vfcfRQQp9HQf19oxGvvINZI6Z5TkfblCSiIPSkVWsvtnq+N2kLeUhoSfiRN6En46GKEn4FCEngAAAAAAhI6aI2wJOEOLdmJqJ1/OJ29L0kv3WleVdm1G3XuBRN1/sUTdd6FE3XOBXWZ1t+c06r6LbJyt7pGMG/UvSZpyv2StmiklJ/bQheWlgWNlVoqURB20cbO6a1O7YX0dccHp9DzDOuJ0NHHCuG6StWKajaWtyDxlXZ7VVR230xYtQ//MsBHIccds5HHmsqmeTnH3nxPhXX7SzE5PT7jm6fT8vl0W99j19rNTeGCTlKfG2a5cDd4RfA3t+iw+tst7DzgJoSfgUISeAAAAAAC0PQ03dUenf+CppZchtFTlZ0vxid02ljbj3eckZdYISXp5gO3RSxjfU+Kf7CzxY2+V+DG32GnCU10s5Eh6+QHrwMpc+pLkfvaujVTVkagdeaStv+qqKttpWpmdansIdTxn4nN3SGS/cz1hpbsaHXqeDh7OtmDJN2JYg9TEZ++QnE/mS1liuGeXanW1p4BgclVZoK/d3DoiW7s9k6cOkKgHLpbwrj+2Y7JJoaf3uD7Z4yzPz4d2MPf+ufvPnFsszC+NPCiu4nz3Ma0dxhzXLamu8JNOT+ci9AQcitATAAAAAIC2pYFnzbDTv9jfGVqqK8qtO1NHVpbGHJHC/Zsk9/NFkvnBq5K+cKKkzh0tKbNGSsrrIyR19mM2Cjdj8STJXjdPCr76WEojD0hFWrxUFWRLdXmJN5SAv8qcNOv2TJ72oEQP+JOFQjoi2IIEX+BTMwQKVHo7DUp7nGWjP23UcLczrSNXg+r8rSttrC3QGvTPjaIDX0javDES89BVdnzace0+Nk8fr9q9WfM4rll+x7We2vjsrj+WyL6/k8SJva0TvSI1zvusaC2Bws9A6Px0BkJPwKEIPQEAAAAAaDs1x9nWLALP0Kedn6VRh6Rg93rJ3bREsj9+U7I+nCVZq1+X7DVzJOfThZK/bZUUHdlm4ybp7KyfvkfFx3dJxrvPSPzomyTq3j/aLtSTvX8h1rWpYY92uQUKhPzLFw7p6e2/tMeIuucPNgJUw+iiA5s9u1SBVlIac9Q6MROe7i7RD/y3RNz5G/exqcf1f3qO64Z0M58+rt3lvq/uvY3sf553V/DDUrDjI/tzCa1Pg0/d5amfUaAuTw08a7sOoYXQE3AoQk8AAAAAANoGgWc7UV1tI1lLY49K8fGvpOjgZinc97m7PrMuUA07SyL2S3lytLhK+H1LQ+nu1LwvlkravLGSOKGXRA+53EJP3V144pZ/l7BOZ1jXZni3n3qqu7fsvF7uLu2A0+7OHmdJZN/fW3dd4vgekvrGYzaeWAOo6qpK7zMCLa8i45QU7Fwj6e9MtJHYMQ//zYJPHXPrOa5/6D5u6zuu3WVdyz913/cciR58mSQ82VlSXntYsj+abbuCbWQz2kxtoWbNblDCz9BF6Ak4FKEnAAAAAACtL9D+Tl/pdTryFs7hKi2WyrxMqchMstG15SmxnkqNk4qMRAtFdbRldRVdng1lHbQxR6Vg11rJfH+ydcZpp+bx6/+XHLvue3LiX//Hs6PT9n3+SMK7uMt9auf1cr/S0FPH5J567k7JWPKi5G9bLSURB6QyJ9394TFeGK3HVVwgZYkn7R9FZK2aKbOMusUAAP/0SURBVKcm9ZfIe/4gJ278N89x7T7VvbPfOq7d9Z3j2n0bDUD1vgnjukr6gvH2jwT0H15osEpHeeipGXj6F+Fn6CH0BByK0BMAAAAAgNajYWZ9gSccqNrl/r8q6xr0VIW3fOerRNzXa1coGkbfTw2TK9ISpGD3J5I6+1GJHnCJhN3y73L8hv/tCX2sC+5n3y7tiNNOOP3axuD+p0T2P1fiRt0o6W+PszHEGki7ivM9wRA7VdGK7M+J8lL7hxBFh7dJ+jvPSOwj14p2Lttx7T6+PR2etRzXeuod7xxx12/d971GUl8fIXlbPpCyhHCpKsiR6ooywvwQVDPorFk6FpfwM3QQegIORegJAAAAAEDrqSvwZJwt8F0a4JTFHrP9qNoVp+NAtWtTA9DoQX+WqAf+JFH3XyxR913krgs9df9FEj3wzxIz9C8SO/I66xJNnTVCcj97V0rdj8UeT7Q1DT/LU2Ikb9MSSX51iMQO/4fnmNZje9ClEuU+/ea49h7bely7bxPz4JXu2//dRtomTxvi/tl4Q0rC9oqrKN/76AhFdXV6+hfBZ2gg9AQcitATAAAAAIDWo52eBJ5A41Tmpkvxid2Su3GxZC6dImlvjpXk6UMl6aV7JfHZPhZqJjzVxVPjuknixN5yavI9kjLzEeuk01Aof/uHUhp5wP1YGXR3IiToyOvSyIOS/+UKyfrgVUmb/5SkzBgmSVPul8Tn7pSE8T3cx3RXibfjuqvttj01qZ8d++lvPy1Zq2ZI3pblnpG2mUnWVY7QR/jpDISegEMRegIAAAAA0Lo04PQPPNnfCdSlWqorym0Xoo4ELUsIk6JDX0rupvcla+Vrkv7ec5L21pOSOmeUVdqbT0j6u89K5oppFpLqbctPRVjY6Sot8o60Zcww2p4ei66SQtstW54UJcXHdkqeBqAfzpKMxZMsBE2dO9pzbM8bK+kLJ0jmsqmS8+lCKfx6o5TFHbefCf3ZsJG2hPmO0tDws/jYLu890JoIPQGHIvQEAAAAAKBlaJhZWwenXq6jbgk8gcarysuUksgDtusz74ulkvPJ25K9dq5Vzvr5krtpiRR8tU5KwvdZKAQ4ge6ZLY07JoX7PrMOzpwNCzzH9Zo5kvPxW5K7cZHk7/jIwtGK9AQbkQtn0+BTd3kGCju16PZsO4SegEMRegIAAAAAEHz+Y2wZXQsEV3VVlVRkJdt+zuKwPVJ0eJsUHdzsqcNbbRRuacwRqcg45emAAxxCO5LL4sMssC86st19TG+RwgPu4/rQlzbGtjTqkJSnxoqrpMh7D7QHtXV9ou0QegIORegJAAAAAEBw1Rxfq0VHJxBE1dU2qrYqP8s6OXWfYUV6oqfcX+tl2g2qo0PFxchPOIervESqCrKlMifNc1xneI/rjFNSmZXiGdNcnC/VVRXee6A98Q8/A3V56qjb2q5DcBF6Ag5F6AkAAAAAQPAECjx9BSBYqi34tB2GWhps+pfvctvdyf5OOIj/cV3z2Oa47jBqCzX9Q1Edi0v42XL4WxvgUISeAAAAAAA0n3Zy6o7OQGGnFvs7AQBAU/kHnv5F8NkyCD0BhyL0BAAAAACgefz3dwYqDTwBAACaKlDg6V+En8FF6Ak4FKEnAAAAAABNV9c4Wy29HgAAoDlq6/SsWYSfwUHoCTgUoScAAAAAAE1D4AkAAFqLBpq6yzNQ2OlfBJ/NR+gJOBShJwAAAAAAjVfX/k4t9ncCAICWQNdnyyP0BByK0BMAAAAAgMarLfRkfycAAGgN9YWfhJ5NR+gJOBShJwAAAAAATVMz8GScLQAAaG21hZ9oOkJPwKEIPQEAAAAAaBodYUvgCQAA2lrN4DNQl6deRvdnwxB6Ag5F6AkAAAAAQN10ZG1tY2s17GR/JwAACAW+8DMQ/2CU8LNuhJ6AQxF6AgAAAAAQmIaZ/rs76eYEAABO5B94+hfhZ2CEnoBDEXoCAAAAAPBd/qNr/YvgEwAAOE2gwNNXBJ/fRegJOBShJwAAAAAA36bBZqDA01eMswUAAE5RfGxXwLCzZhF+foPQE3AoQk8AAAAAAL5B4AkAANqj2kbc1izCT0JPwLEIPQEAAAAA8PDf31mz9DoCTwAA4HQNCT87evBJ6Ak4FKEnAAAAAKCjq21/p6808AQAAGgv6gs+OzpCT8ChCD0BAAAAAB1ZfeNs9XoAAID2KFD4yXhbQk/AsQg9AQAAAAAdVX0dngSeAACgI/APP0HoCTgWoScAAAAAoCOrbY8n+zsBAEBHosFn8bFd3nMdG6En4FCEngAAAACAjs4/+GR/JwAAQMdG6Ak4FKEnAAAAAKCjqG1crW/MLeNsAQAAQOgJOBShJwAAAACgI9BAk05OAAAA1IfQE3AoQk8AAAAAQHtXc28nHZ0AAACoDaEn4FCEngAAAACA9krH1tYMPAk+AQAAUBdCT8ChCD0BAAAAAO2Rb09nbUXoCQAAgEAIPQGHIvQEAAAAALQ3vv2dtRWBJwAAAGpD6Ak4FKEnAAAAAKA9qS/w1A5QAAAAoDaEnoBDEXoCAAAAANqL2vZ3aul1BJ4AAACoD6En4FCEngAAAAAAp6tvf6cGngAAAEBDEHoCDkXoCQAAAABwurpG2rK/EwAAAI1B6Ak4FKEnAAAAAKA9CBR8EngCAACgsQg9AYci9AQAAAAAtBf+Oz3Z3wkAAICmIPQEHIrQEwAAAADgJBpmarhZW6hJdycAAACag9ATcChCTwAAAACAU2jQ6evk1OATAAAACDZCT8ChCD0BAAAAAE4QaGcnwScAAACCjdATcChCTwAAAABAqPPf1VmzGGcLAACAYCL0BByK0BMAAAAAEKp8+zsDhZ1ade32BAAAAJqC0BNwKEJPAAAAAEAo8t/fGagYbQsAAICWQOgJOBShJwAAAAAg1ATa3+lfjLQFAABASyH0BByK0BMAAAAAEErqCzwZZwsAAICWROgJOBShJwAAAAAgVLC/EwAAAG2N0BNwKEJPAAAAAECoqG2PJ/s7AQAA0FoIPQGHIvQEAAAAAISSmuNt2d8JAACA1kToCTgUoScAAAAAoK3UNq7WF3wSeAIAAKC1EXoCDkXoCQAAAABoC779nbUFn+zvBAAAQFsg9AQcitATAAAAANCaNMz0BZ6+IuAEAABAqCD0BByK0BMAAAAA0Fo03PQPO32lISgAAAAQCgg9AYci9AQAAAAAtAbfns7aiv2dAAAACAWEnoBDEXoCAAAAAFpazXG2NYvxtgAAAAgVhJ6AQxF6AgAAAABaSqD9nf6l1xF4AgAAIJQQegIORegJAAAAAGgJte3v9BV7PAEAABCKCD0BhyL0BAAAAAAEG/s7AQAA4FSEnoBDEXoCAAAAAIKtrpG2BJ4AAAAIZYSegEMRegIAAAAAgi3QaFv2dwIAAMAJCD0BhyL0BAAAAAC0BP8Rt+zvBAAAgFMQegIORegJAAAAAGgODTdrG1lb13UAAABAKCL0BByK0BMAAAAA0FT+3ZyEmwAAAGgPCD0BhyL0BAAAAAA0hY6s9QWevmJnJwAAAJyO0BNwKEJPAAAAAEBjaLAZKPD0FcEnAAAAnIzQE3AoQk8AAAAAQENpoBko6PQVI24BAADgdISegEMRegIAAAAAGsJ/f2egIvAEAABAe0DoCTgUoScAAAAAoD71BZ6MtAUAAEB7QegJOBShJwAAAACgNvXt79TrCDwBAADQnhB6Ag5F6AkAAAAAqE2goNNXGngCAAAA7Q2hJ+BQhJ4AAAAAgNrU1uXJ/k4AAAC0V4SegEMRegIAAAAA6kLgCQAAgI6E0BNwKEJPAAAAAEBddGenhp3s7wQAAEBHQOgJOBShJwAAAADAP9gMhO5OAAAAdBSEnoBDEXoCAAAAQMemgSbjawEAAAAPQk/AoQg9AQAAAKDjqhl4EnwCAACgoyP0BByK0BMAAAAAOiYdZRso8PQVAAAA0BHxN2HAoQg9AQAAAKBj0f2ddQWeep3eBgAAAOiICD0BhyL0BAAAAICOQ8PMQEGnrxhrCwAAgI6O0BNwKEJPAAAAAOgYatvf6SsCTwAAAIDQE3AsQk8AAAAAaP/qCzwZZwsAAAB4EHoCDkXoCQAAAADtW10jbdnfCQAAAHwboSfgUISeAAAAAND+abgZKPAEAAAA8G2EnoBDEXoCAAAAQMfgH3yyvxMAAAAIjNATcChCTwAAAABoXzTQDDSy1jfmlsATAAAAqB2hJ+BQhJ4AAAAA0H74ujkZXQsAAAA0DaEn4FCEngAAAADgfNrFWXNvJx2dAAAAQOMRegIORegJAAAAAM6m4aZ/2OlfBJ8AAABA4xB6Ag5F6AkAAAAAzlVX4KlF6AkAAAA0DqEn4FCEngAAAADgTDXH2dYsHXkLAAAAoHEIPQGHIvQEAAAAAGcJtL/Tv/Q6Ak8AAACgaQg9AYci9AQAAAAA59AwM1DQ6SvG2QIAAADNQ+gJOBShJwAAAAA4A/s7AQAAgJZH6Ak4FKEnAAAAADhDXaEn42wBAACA4CD0BByK0BMAAAAAnKNm8Mn+TgAAACC4CD0BhyL0BAAAAIDQVFuYqUGnL/AEAAAAEFyEnkA9XC6XlJWVWZiYnZ0tmZmZkp6eLmlpaZKamnq69HxGRoZkZWVJXl6eFBUV2f30/i2B0BMAAAAAQo+vo7O24JPuTgAAAKBlEHoC9SgvL7eAce/evbJ+/XpZvny5vPvuuzJ//nyZO3euvPHGGzJnzhx56623ZPHixbJmzRr7j9hDhw7Z/UpLS72PFFyEngAAAAAQWvxH2NLNCQAAALQuQk+gHvn5+bJv3z55++235YknnpAHHnhAbr/9dunSpYvcdNNNcv3118sNN9wgnTp1kr59+8rIkSPl5ZdflqVLl8rXX39t3aEtgdATAAAAAEKHb3StfxF8AgAAAK2H0BOog46nTUhIsA7PiRMnSp8+feS6666Tyy67TC688EI599xz5ZxzzrG64IIL5KqrrrIwdMiQITJlyhT5+OOPJSYmxrpFg43QEwAAAADank76CRR4+opxtgAAAEDrIPQEaqiurpbi4mLb03n8+HHZvHmzjbLVLs+7775bevbsKd27d5cePXpIt27dLOTs3LmzdO3a1S7TLtD77rtPxo4da92h27dvl9jYWMnJybEQVR8/GAg9AQAAAKBt+Y+zDVR6PQAAAIDWQegJ1FBZWSkpKSmya9cuef/992XGjBnywgsvyPjx463065kzZ8rChQtlyZIldptFixZZMDp16lQZPXq0PPjggzJixAiZNGmS7f/cuHGjHD16VDIzM8XlcnmfqXkIPQEAAACg7RB4AgAAAKGF0BOoQUfRRkdHy+rVqy3gfPzxx+XJJ5+0QPOdd96RDRs2yJEjR6wTVAPGkpISO01KSpIdO3bIvHnzZMyYMTJs2DC7rz6GXvbZZ5/ZqFsNVYOB0BMAAAAA2kZd42y1GGkLAAAAtD5CT6CGiooKG0e7Zs0aefnll+Xpp5+2/Zzvvffe6Y5NHVUbiIaaq1atsqDz0UcfleHDh1sAOnnyZAskT5w4EbT9noSeAAAAANC66tvfqdcReAIAAABtg9ATqKGqqkrS09Nl//798vHHH8vKlStl/fr1Nu42PDzcOjw1GA1Ex+J+8cUXMmfOHBtlNGrUKHnsscdsLK52iR46dMj2hQYDoScAAAAAtK5AQaevGGcLAAAAtC1CT6CG6upqKS0tlezsbBtZm5CQYKe6jzM/P9/G2da2lzMtLU327Nlj4aMGkhMmTLDQU8fjvvXWW7Jv376ghZKEngAAAADQurSLk8ATAAAACE2EnkCQaFiqwah2c37yySeyYMGC0ztBR48ebd2fu3fvlry8PO89mofQEwAAAABanwac/oEn42wBAACA0EDoCQSRdoceP35cNm3aJIsWLZIXX3zRdntqt+esWbNsRG5ubq731s1D6AkAAAAALau2Dk69nP2dAAAAQGgh9ASCKCcnR8LCwmyv5+LFiy30HDlypAWfGlDu3LmT0BMAAAAAQpz/GFuCTQAAAMAZCD2BINLxtkeOHJENGzbIO++8I5MmTbIuz1GjRskbb7whX331FeNtAQAAACCE1RxfS/AJAAAAOAOhJxAkLpdLkpOTZceOHbJkyRJ57bXXZOLEiTJ27Fg71RB0//79QQslfaHnjTfeaKHnnXfeKStXrpTi4mLvLQAAAAAAjREo8NTSUbYAAAAAQhuhJxAkGnpGRkbKqlWrbKztmDFjZPTo0TJhwgSZPn26fPjhhzb6tqSkxHuP5vEPPS+44ALp16+frFu3znstAAAAAKAxNNgMFHj6im5PAAAAILQRegJBUlpaap2cs2fPlgcffFDuueceGT58uEyZMkUWLVokW7dulfj4eKmoqPDeo3laIvSsrq72fgUAAAAAHYOGmXUFnnR5AgAAAM5A6Ak0g4aE2uGpgaeOtv3888/lueeek7vuukv69Okjjz76qMydO9d2fOquz4yMDKmqqvLeu3k09Jw1a9bpnZ69evWS9957T1JSUry3EOsqLSwstJG6vioqKrIRuGVlZVJeXi6VlZX2PQAAAABAR1PbOFtf6fUAAAAAnIHQE2gGDQuzs7Pl5MmT9q+D33rrLQs6NfDs37+/PPPMM7J69Wo5ePCghZQaQAarmzIpKckC1U6dOsl5550nf//73+Xxxx+34FM7PrV01O6KFStk+fLlsmzZMvnggw9k7dq1smXLFutKjYiIkNTUVPaAAgAAAOhwCDwBAACA9oXQE2gG7ZYMDw+3gFHH2o4bN04GDhxoo2aHDRsmb7zxhuzatcu6LzVY1K7KYIWe2ln69ttvS48ePeTcc8+14PPaa6+1js++ffta3XHHHRbA6mXdu3eX3r17y6BBg2zP6Jtvvinr16+Xw4cPS2ZmpvdRAQAAAKD9Y38nAAAA0P4QegLNoGHhtm3bbMzsqFGjZPDgwfLAAw/IQw89ZGNutdMyMjLSwtFg09DznXfesSDz97//vZx99tny61//2kbd6o5P/9LrzznnHAtGr776agtlJ06caPffsWOHhbLs8wQAAADQUdQWeurlBJ4AAACAMxF6Ao2k3Zq6G1PHy+qI2CVLlsj48eMt8NTSEbOTJ0+2MbPa5Zmenu69Z3Bp6LlgwQLp2bOndXpqqPnnP//Z/iP9pptusrrxxhvlhhtukH/+8582/lav05B05MiRMn36dFm5cqV8/fXX9hoJPQEAAAB0FBps1gw8GWcLAAAAOBuhJ9BI+fn5cuLECfn0009l4cKF1tH58MMPy4ABAyzwfP31123crYaJCQkJUlRU5L1ncGnoqiNqO3fubB2cV111lb2GV155RebNm2elHagzZ86U1157TaZNmyYzZsywvaMadm7evFkOHTpkr1FDXAAAAADoSPyDTwJPAAAAwPkIPYFGSkxMtMBTOyXHjh0rDz74oI201eBzypQpticzOjrawtGKigpxuVzeewbXqVOnbI/ozTffLOeff75069ZN5syZYztGc3JyrLQbVF+vBpta+rWGpdrZqddr2FlaWmrdqwAAAADQHmmgWVuoqZczzhYAAABoHwg9gXro2FcNLsvLy22Hp4601V2YTz31lAWegwYNkhEjRth/LC9atEgOHjzYYt2d/jT01K5SHWGrezz79u0rH330EQEmAAAAAHj57+6kmxMAAABo3wg9gXpo4JmdnS0RERGyY8cOWb58ubz88ss2ylbDTt3nqWNkdWTsV199Zd2VLdXd6U9DTx1dqzs7L7jgAunXr598/PHH3mubhr2eAAAAANqDQDs7tejqBAAAANovQk+gHmVlZXLy5Enb06njZF944QV54oknZMyYMbbPU7s+t23bJjExMRaO6rjY1lCz0/POO++U1atX2+sFAAAAgI5KOzoDBZ6+IvgEAAAA2idCT6AeWVlZsn37dgs8R40aJY888og89thjFnjOmzdPtmzZYt2drc0Xev7rX/+y0POOO+6QDz74wPZ0AgAAAEBHVF/gyYhbAAAAoP0i9AQCqKqqsr2c6enpcuzYMVm1apV1eA4bNkxGjhwpkyZNknfffVc2btwo0dHRdvvWRugJAAAAAN/w398ZqOjwBAAAANo3Qk8gAA084+LiZM+ePbJmzRrr8hw3bpw8+uij8vzzz8vSpUvlwIEDkpKSIpWVld57tS5CTwAAAADw7O+sK/DU6wAAAAC0f4SeQAA60nbv3r2ybNkyee2112T8+PE20nb06NEyY8YMG2mrXaBtidATAAAAQEengWegoNNXjLMFAAAAOg5CTyAA3dH5+eefW+A5ZswYGTx4sNx///0yZMgQ6/T88MMP5cSJExZ8ZmZmSmpqqiQlJX2n9HH0uoyMDMnLy5PS0tKgjcIl9AQAAADQkRF4AgAAAPBH6AnUUFFRIZGRkbJ8+XJ58sknpW/fvnLrrbfKDTfcYAGjhoujRo2S6dOny/z5863mzp1rI3BnzZp1uubMmWPXLVq0yELSnTt3SmxsrBQWForL5fI+W9MRegIAAADo6Goba8v+TgAAAKDjIfQEatB9nkePHpW3335bhg4dKjfffLNceeWVctFFF8kFF1wgF198sVx11VVy/fXXyy233GJ10003Wfh444032uV6qkFp9+7dpX///jYad968ebJr1y7r+gxGtyehJwAAAADIt8JODUEJPAEAAICOidAT8FNdXW2h4ZEjR2ThwoUyfPhw6dKli1xzzTVy6aWXyoUXXijnn3++lQagNUsvP++88+xUw9ErrrjCOkQ1+HzppZdk8+bNNu62srLS+4xNR+gJAAAAoCOpLcz0jbnVwBMAAABAx0XoCfjR0LO4uFiioqJkw4YNFio+9dRT8sgjj8igQYPkvvvuk379+smdd94pffr0kdtvv/1b1bt3b+nZs6f06tXLbnPvvffKQw89JBMmTJD33ntP9u3bJ1lZWXR6AgAAAEAj6H7OuoJNujsBAAAAEHoCfjT01J2e2dnZttdzz549smnTJlm/fr2sWbPGdnOuXLnSwkXd+bls2bJv1dKlS+X999+3U71+1apVsm7dOvniiy/k4MGDkpSUZKEqOz0BAAAAoGF8gaev9DwAAAAA1EToCdSgwad2YpaXl0tJSYnt+CwsLLQwMT8/v1Gl99H7atBZWlpqY22DEXgqQk8AAAAA7Z12dvoHngSfAAAAAGpD6Ak4FKEnAAAAgPbKt6eztmJ/JwAAAICaCD0BhyL0BAAAANAe1RxnW7Po8gQAAAAQCKEn4FCEngAAAADaGwJPAAAAAE1F6Ak4FKEnAAAAgPaktv2dvtKRtwAAAABQG0JPwKEIPQEAAAC0Bxpm1hV4sr8TAAAAQEMQegIORegJAAAAoD2oa6Qt42wBAAAANBShJ+BQhJ4AAAAA2otAwSeBJwAAAIDGIPQEHIrQEwAAAEB74j/ilv2dAAAAABqL0BNwKEJPAAAAAE7j298ZKNSs6zoAAAAAqA+hJ+BQhJ4AAAAAnETDTF8np4abAAAAABBMhJ6AQxF6AgAAAHAKdnYCAAAAaGmEnoBDEXoCAAAAcIJAgaevCD4BAAAABAuhJ+BQhJ4AAAAAQp2OsQ0UdmqxvxMAAABAMBF6Ag5F6AkAAAAgVPnv7wxU7PQEAAAAEGyEnoBDEXoCAAAACEV1jbPVYqQtAAAAgJZA6Ak4FKEnAAAAgFBD4AkAAACgrRB6Ag5F6AkAAAAglNS1v1OL/Z0AAAAAWhKhJ+BQhJ4AAAAAQkltXZ7s7wQAAADQGgg9AYci9AQAAAAQamoGn4yzBQAAANBaCD0BhyL0BAAAANCWahtX6xtzS+AJAAAAoDURegIORegJAAAAoK34OjprCz7Z3wkAAACgtRF6Ag5F6AkAAACgtWmY6evk9BUAAAAAhAL+6wRwKEJPAAAAAK1JA0//sNNXGoICAAAAQFsj9AQcitATAAAAQGvxjbOtrRhnCwAAAKCtEXoCDkXoCQAAAKA11Bd46vUAAAAA0NYIPQGHIvQEAAAA0NJq7u/0L72ODk8AAAAAoYLQE3AoQk8AAAAALaW2/Z2+Yo8nAAAAgFBD6Ak4FKEnAAAAgJbAOFsAAAAATkToCTgUoScAAACAYKuvw5PAEwAAAECoIvQEHIrQEwAAAEBLqC34ZH8nAAAAgFBG6Ak4FKEnAAAAgJbiP+KW/Z0AAAAAnIDQE3AoQk8AAAAAzaXdm7WNrNXLGWcLAAAAwCkIPQGHIvQEAAAA0Bz+3ZyMrgUAAADgdISegEMRegIAAABoKv/Ak+ATAAAAQHtA6Ak4FKEnAAAAgMbSYFN3dNYMPLXY3QkAAADAyQg9AYci9AQAAADQGBp4Bgo7fUXoCQAAAMDJCD0BhyL0BAAAANBQgcbZ+pdeDwAAAABORugJOBShJwAAAICGIPAEAAAA0BEQegIORegJAAAAoD617e/U0ut05C0AAAAAtAeEnoBDEXoCAAAAqI2GmfUFngAAAADQnhB6Ag5F6AkAAACgLrWFnoyzBQAAANAeEXoCDkXoCQAAAKAu2u1J4AkAAACgoyD0BByK0BMAAABAffyDT/Z3AgAAAGjPCD0BhyL0BAAAAKB8+ztr6+LUywk8AQAAALR3hJ6AQxF6AgAAAKg5wpbxtQAAAAA6KkJPwKEIPQEAAICOTQNO/8DTV3R1AgAAAOiICD0BhyL0BAAAADqu2gJPXwEAAABAR8N/CQEORegJAAAAdDy+/Z2Bgk4tvY5OTwAAAAAdEaEn4FCEngAAAEDHUnN/Z83SwBMAAAAAOipCT8ChCD0BAACAjqO+cbZ6PQAAAAB0ZISegEMRegIAAAAdA4EnOrqXX35ZbrnlFqtAPwN6vdaOHTu89+g49Hv2vT+B3hvf+6a3CUX1fba+194RP1sAANB4hJ4OUF1dLS6Xy6qqqupb5btcb4OOhdATAAAAaP/qGmnL/k60Z3UFefVVew/IfEFnoO+9vgqFALQ5ny0BKAAAqAuhZ4jTYFNDrMTERDl69Kjs3r1btm/fLtu2bZNdu3bJoUOHJCEhQQoLCwk+OxhCTwAAAKBj0HCz5i/+2d+J9koDraYGYv6lj9HewrFgvTdabfH+NDWoDVRtHdwCAIDQROgZ4srKyizc0n+9+9Zbb8kLL7wgTzzxhIwZM0YmTJggs2fPlk2bNtltNCBFx0HoCQAAAHQc/sEn42zRXgUzFPNVewk+W+K90dLws6UFM6ytWe0t2AYAAM1D6BniSkpK5OTJk7Js2TIZPXq09O7dW66//nr5+9//bmHXgAEDZO7cubJ//37JycmxUbfoGAg9AQAAgPantnG1vjG3BJ5or1oqFNNqjWCvJbXke6PVku+PhpKBnjOYRfAJAAB8CD1DnIaeUVFR8uGHH8rEiRPlnnvusb+MXnPNNVY9evSQp59+WpYvX25/yTt8+LCEh4dLdHS0jb1NTk6W9PR0C0SLioroBm1HCD0BAACA9sXXzVnb6Fr2d6K9aulQT8upwWdrvDdaLfH+tEbg6SuCTwAAoAg9Q1x5ebmFlgcPHpQ1a9bInDlzZPz48dbh2atXL6t7771Xhg8fLk8++aSNvH3++edl6tSp8sYbb8jixYtl/fr1tgs0NjZWSktLvY8MpyP0BAAAANoHDTNr7u2koxMdRWNDPb29fwW6TW2lt3eSxn5/Wv7vTWPvr7cPlqYEns157VoEnwAAgNAzxOm4Wt3rWVhYKBkZGRIREWE7POfNm2ch5/333y9dunSR6667Tv7yl7/I5Zdfbqd6vlu3bjJo0CDrEH377bftL3+ZmZneR4bTEXoCAAAAzucbWxuoCD7R3jU0GNMATHda1kYfp6EhmVOCscbs8NTb1vV9NfaxgiHQYweqYH62WgAAoGPjbwMOlJSUZP9h/Oabb1rwefvtt8tf//pXOf/88+U3v/mNnHPOORaCXXHFFXLTTTfZSFztDn3//ffl0KFDNupWO0i1dHyuhqr6dWVlpY2/1aC1urra+2wIVYSeAAAAgLNpqBnol/a+IvREe9bQwLMxIWVLPGZbaOj30diAsqHhYXM15Hn0Ni3x2QYrtAUAAM5E6OlAxcXF1vH5xRdfyHvvvSeTJk2SYcOGSf/+/aVPnz4WfmlpGNqzZ8/TI3A1INWRtytWrJC1a9fKunXrbPTt5s2b5cCBAxITE2OdoBqEIvQRegIAAADOVV/gyf5OtHcNCcaaEk42JBzT5w5lDenMbMp7o1rj/Qn0mP7VnMdvqeMGAAC0D4SeDqQdmdnZ2RIXFyfHjh2TXbt2yWeffWY7Pz/88ENZvXq1dXW+9tpr8uijj1r4eeutt0qnTp2kd+/e0q9fPwtI7777btsNOmbMGJk9e7Z8+umn9ng6RpdOz9BH6AkAAAA4T6D9nf6l1xF4or1ryVBPNSTYC9VgrDVee0Oeo6nqCyWDETjX9xx0ewIA0HERejqQBpI6hlbDz4qKChtNqyNqtUOztLTUOkHT0tIsDJ01a5YMHDjQxtzqrs9LLrlE/vjHP8q5554rv/3tby0s+8c//mG7P2fOnCkbNmyQ48eP2whchDZCTwAAAMBZ6trfqaWBJ9AR1BdaBSOQbMlgryXVFwgHK9BrqeAw0GP5VzA49bMFAAAtj78FOEhjuy919+cnn3wiU6ZMkYceekjuvPNO6dy5s/2H9KWXXiq/+93v5Je//KWFoPqX3eHDh8u0adNk6dKlsmXLFjl8+LBERkZKdHS0jb5NSEiw8bcaqtIJ2vYIPQEAAADnYH8n4FFfqBeMTkCf1ghXgy3Q6/SvYAr0+L5qyufQWoGtqu+5QvGzBQAALY/Qsx1zuVwWVH711Vfy8ccfy/Lly2XhwoUyffp0eeyxx6Rbt25y2WWXyUUXXSRXXnmldYPqKNwHHnhARo4cKePHj5fJkydbEDp37lxZtmyZ7Ny508I27TJF2yL0BAAAAJyjrtCTwBMdSX1BZDA5sSMw0Gv0VTBDQ1VfcNhYwX68+gR6Dl8F+70CAADOQOjZAejoWw3C8vLyrFNTuzfXr19v/2Hdq1cvufrqq23s7cUXX2wBqJae1yBUR9/qPlDtEtWg9O2335YDBw5IUVGR99HRVgg9AQAAAGcJFHyyvxMdSX2hWEsEVfU9Zyh1BNYX0rbEaw30PL5q7PPVFWgHs4PXp67PtiWeDwAAhD5Cz3ZER85qB6Zvr6eWb8+nlm/vp+771I7N2bNn29jbrl27ynXXXWchp4adF154oY289Q8/dSTuXXfdJZMmTZJPP/1U4uPj7fF1tyijbtsGoScAAADgPPrfVvoLefZ3oiNqzS5Pf4Gey1eh1BFYX+jZEgI9j68a+97U9fm2RaANAAA6Hv4G0I5o+KidnCdOnLC/KG/cuNECSt3ruW7dOlm7dq189NFHFozNnz/f/nL4xBNP2CjbRx55xGrYsGEWhA4dOlSGDBlio2417NSxt/fcc488+eST1u25efNmOX78uKSnp0t5ebn3FaA1EXoCAAAAocnX0Rmoi1MvY5wtOqqaoZR/tWRnnlPCsbpeZ0u9P8EMKgM9hq9aoku1LUJiAAAQ2vgbQDui4aMGnitWrJCXXnpJHn/8cRk8eLCFlRqI9ezZU3r06CF9+vSR+++/X0aNGmW3032duu9zw4YN9h/g2gWqtWXLFgtJtSP06aeflkcffdTuo/+BPmvWLFm9erUcOXKEkK2NEHoCAAAAocd/hC3dnMA36gseWyIU86kvHGvJ524MQs/GIfQEAAA18TeAdsLlcklqaqp1d7744ovSr18/uf766+WKK66wXZ3nnnuu/PrXv5Zf/epXcsEFF8hNN91kIeZbb70lmzZtkrCwMMnJybHH8ZeRkWEB6IIFC2y07ejRo60jVAPV6dOnWzCanZ3tvTVaE6EnAAAAEFp8o2v9i+AT8KgrXGupQM9foOf1VWPDvZbSFqFnoOfyVaiHnnW9X1oAAKDj4W8ADlBRUSH5+fm2izMuLk4iIiLk6NGjcuDAAdm7d6/s27dPdu3aJevXr5fXXnvNujs11Lzmmmvk2muvtf/I1gD0H//4h9Wtt95qt5k2bZp1d+qY2tqCSw1B9fl0PK52fOo4XB15e/fdd8tTTz1lI3N1xC1aH6EnAAAAEBp0Yk6gwNNXgcbcAh1NoJ8NX7VG6OmEgKwtXmOg5/FVY4PKQI/hq8YGqA1R1/vVGscUAAAIPYSeIU73dGrgGRUVJdu3b7eRstqdqX+x05Gz2nmpXZfatam7OHX/5s033yz//Oc/pUuXLvLggw/Kc889Z2HozJkzZcaMGTJnzhwLx7Zu3SonT5600LKsrMz7jN+mz5+YmGh/0X3//fflmWeekf79+0vXrl3l4YcftrG42mGK1kfoCQAAALQ9DTQD/cLdV+zvBOofQ9oSgVhN9b2GluhEbIpAr81XwX6fgv2e1BVCagVbW3cPAwCA0EPoGeK001I7PLWTc+HChTJhwgQZMGCAdOrUSf72t7/JJZdcIv/93/9tp5dddplcfvnl8te//tWCTw1B582bZ+NpY2JiJCkpySo5OdnG1ubl5UlxcbHtAq2qqvI+47fpdfr82ln62WefWXeo7gP1BapLly6VlJQU763Rmgg9AQAAgLblv78zUBF4Ah6tHYbVJtBz+6o1gteGCPTafBXsIC/Qc/hXY9X3OQczWK7vuULl8wQAAK2L0DPEVVZWSkJCgo2u1V2dOlr2tttus8BTw04Nu7R0b6fu79TxtZ07d7bbTZkyxXZ8amjZVDpaNzc3V+Lj422M7qJFi2zErQav48aNY7xtGyL0BAAAANpOfYEnI22Bb4RKR16g5/dVqIRkdb1XWsF6nfV1eTbleep7TK1gqe99AgAAHRN/Cwhx2mkZGRlpo2VHjhwp3bt3t7/Y6XhZDbl01KwGkMOGDbNRt9oJqmGndnhqUBoeHi6lpaXeR2s87QAtKSmxnZ+6T1S7RpctW2aPr6f79++38btofYSeAAAAQNuoa3+nXkfgCXxbqISe9XUHhoL6XqNWczsmGxJONvU5Aj2WfwXj864v8GzNYwoAAIQWQs8Qp4HjiRMnZP78+TJw4EDr8uzTp4+MGTNGZs2aZWHoxx9/bP9RvWfPHjlw4IAcPnzY7qMdotqlWdvo2obQnZ7abao7PzVM0/2dul9UH19PdUyuBrNofYSeAAAAQOsL9At2X2ngibalgZEGHjVDET2v1zU3LELT+H8WNaspHYVN5YTQU9UX6mk19VhuSOCp1VQNefzmhJINeW9a85gCAAChhdAzxOnOTQ0YFyxYIEOHDpXbb79dHnnkEXnzzTet61KDR+3C1DG06FgIPQEAAIDWV9tYW/Z3Bk99oUmgsKe+MMu/CERaV1M+z5YSSq+lLg09nhv7euv7/n3V3Pch0GPWrKYEnw0JPJsTqAIAAOcj9AxxOppWx8rqqNpXX31VJk6cKLNnz7ZdnbGxsSEzWlY7QrXQegg9AQAAgLZRM/gk8AyuxnTjaTjTkCDEvwhFWldjPs+WVl/o19ywL5gaelw3NMRvaJAajJ+Phoar+lwNec8b83MeSp8hAABofYSeIU5Hy+qI2pMnT9pf3L744gvZvXu3REdH2+Wh1OFJ6Nm6CD0BAACAlldboOnb68n+zuBraEjW0GClZhGKtK5QCj1VoNfgq4YGiK0l0GusrfS11zy29XxDw05fBUtjntcXftZ8/foYDQ07tULt8wMAAK2P0DPEaZCoOzl1p2ZhYaEFWkVFRXZeA1GXy+W9JToaQk8AAACg5WiYSbDZNuoKOfQ6peFIoOvrK0KR1ldf+NXaAr0GX4Xa8dHU47ypVTN0bK7GBJbNLd+fDQAAoGMj9AQcitATAAAAaBmB9nai9dQXejY1CCIUaRv1fZ6tLdDr8FUohuJ6vNf1HgajfD9XLaG+0DsYxT9mAAAAPvyXG+BQhJ4AAABA8AUKPLW06xOtI9D77ysNN5oaALVUqIO6hVroGWqvp6GaetzXV60RGDb1HyrUV/qe8HMNAAD8EXoCDkXoCQAAAASXb5xtbYXWEei9r6s0+AgU3GgY4usyoxOs7YRayBhqr6cx6nrtTanW/H5bIvgk8AQAADXxX22AQxF6AgAAAMHhv78zUOl17PVsHY0JRjSwaUjo0RrBSLDDqJaqtgj16npveD0N4wvvW6pa8h8F6M9fXe95c0sfm/ATAAD4EHoCDkXoCQAAADSfhpmBfpHuK8batq6GhjuhFk61ZKgTzGqL962u94bXU7fG/COA5pZ+78EOD+t6r4NddHMDAABF6Ak4FKEnAAAA0Dy17e/0lV6P1tWQ0DPUginVmuFOc6ot3ru63hteT+2aGnjq9+CrQNfXV8EKPpvy/M197Xo/AADQsRF6Ag5F6AkAAAA0XX2BJ+Ns20ZDwo5QHGXZ1JCmtastQqH6guzWVtdnFSqhWWMDT32P6/q50Osbc4w292esMc+lt62rS1NfS0P+MYSvQuUzBAAAbYPQE3AoQk8AAACgaeoaacv+zrYV6DPxr1ANNBoT8rRltcX7F2qhZ6DX4Ku6wrfWFOi1BarGhpMNDQ+bc5y01HPo99rQn7PmhrYAAMC5CD0BhyL0BAAAAJouUPDJ/s62V/MzqVmhitCzdoSejdOQ0LC5n2NDjtemPkegx6pZzQkl9b6BHrNmEXwCANAxEXoCDkXoCQAAADSP/4hb9ne2vfrCjLYI7BqqISFSKFRbvIf1fa6tHU4Feg2+auvQsyGBXrA+w4Ycs43VkMcMxufdkPcpFAJsAADQ+gg9AYci9AQAAAAaRgPN2kLNuq5D66qvw40Qw5lCKfQMpdcSSH0/A8EOresLKRv7fIEew7+C+f7W91lqtfXnCQAAWh+hJ+BQhJ4AAABA/XRkre8X4OzqDG31BT5wrkCfp69aM8wO9WMs0Gvyr2CHeA0JDhuqtQNbVV9o25rHFgAACA38VwPgUISeAAAAQO004PQPPH1F8Bm66gowWiIwQesJ9Jn6qjWDqVA+xuoLIFvqfQpWcFjf47SEYIa2AACgfeB//QGHIvQEAAAAAtNgM9Avv7U0CEVoCuVACs1TXxdgawnlY6y+96glR7UGej5fNTT0DHRfX7XkexsqxxYAAAgN/K8/4FCEngAAAMB36X7OQL/49hX7O0NXoM/LVw0NXhCa2jLQ8xfouX3V1sdYXYGsVktqbhjcVl2qqr7nbq1jCwAAhAZCT8ChCD0BAACAbws0zta/GG0b2gJ9Zr4iuHC2UAimQr0jMNBr8lVLB7LNDT3b8r0l9AQAAP4IPQGHIvQEAAAAPGrb3+krvY7AM7SFeiCF5gv0ufqqpUM91ZadlA0R6DX5qqXfn+b+/LX1z2+g5/RVaxxbAAAgdPBfDoBDEXoCAAAAde/v1GKHpzO0dWjSXPUFaqFSDenaaymhHIy15fviE+h1+aqlg7vmfjah/Nm29HsHAABCC6En4FCEngAAAOjo2N/ZftQVGoZCIFUfQs/6teUY0vpCuVAIxgK9Ll+19OtrbmjZ3Ps3V6Dn9FUofLYAAKD1EHoCDkXoCQAAANS+x5Nxts5C6Nk61dbvZaDX5KuWfG31fT6hoK7X2NKfW3Pfn7YMtOt7bkJPAAA6FkJPwKEIPQEAAIDvjrdlf6cz+X+GNcsJoUV9oVGoVEuHZ/WpryOwpcKxQM/lq7Z+T3yaGzw2R6Dn81VD3p+2DB7b6pgCAAChidATcChCTwD/f/buA77q+vr/ON39tf11/LtbO9Sq3bV2WFv702pbtdpa6x61jroRFUTZiCAgS0EBAWXKkI3sQBKSEEIYCVlk7733Tjj/7/nc+8VLvBkkNyHf5PV8/E7vvbnrm3uT219555wDAMBg016YaQef7O90rrZBhWc5IbQg9OyacxGOdfbe9Jefr87Cu94KDn31nni7r2f1lnMZFgMAgP6H//YHHIrQEwAAAIOJvb+zvT2ddHc6V2ehixMQenadt+PyLF+GkJ39bPWH18PWWejZW8fq7bk8q6vvh7f7epYv31fbuXrNAABA/0XoCTgUoScAAAAGCzvwtKu94BPO1Flw4QSEnl3Xl0FkZ+9Lb3VPdpe3Y/QsXx9vZ797Wl3ly8fqKm/P4Vn97f0FAAC9j9ATcChCTwAAAAwGOrLW2z9m09k5cHQUltCpNTB5e689yxdhVWchXH/82eospNXyVcdkZ+Gz1tm8D115vL4MtLUAAMDgw/8HADgUoScAAAAGMg012ws8tdjfOXB0FF70x2AKPdeVgKwn4V5vP35v6cpxa/X02HvreboSRPrid7qvngcAADgPoSfgUISeAAAAGKg08PT2j9h2Md52YPH2HtvFeMqBqyvBVXfCvc46PLV8FYjp8enz2dXTMFJ15XXR6u5z6f28PV7b6s5r1JuPbevt1wcAADgboSfgUISeAAAAGIja7u9sWwSeA4+399kuQs+BqzcCsq4GYr7Q3vH3JNCzeXtcb3U2z6XH29XXR6u7oWFXQme7zuY5zuZxffEeAAAAZyL0BByK0BMAAAADTWeBJ3s8B57Ogq/uBi9whs7ef89qr5NSv94XYZ6nzo67p6Hb2QR8Wvp8ep+29DjP9vXR6ulr5O0xO6qO3tvuvBYAAGDwIvQEHIrQEwAAAANFV/Z3EngOTJ0FGhj4zjbU6kn5KhDz9thtq6fONqj0VfniNeosFO7N6mlgCwAAnI3/BQE4FKEnAAAABoqOOjw18MTARegJ1RcBn68Cz64Gevqz3VN9HXz66jVS5yL4JPAEAAD8LwjAoQg9AQAAMJB46/Rkf+fA11Go48sABv1fbwZ85yLM80XoqXrzdfEsXx2vp74KPvU1IvAEAACK0BNwKEJPAAAADDSewSeB5+DQUaDTGyEM+rfeCMl6Iwzz9jxty5fP29vhYW8Hhk4JtAEAgPMRegIORegJAAAAp2ov0LR3e7K/c/DwFmLYReg5OGkA54uQrDe7/7pyfL3B1+FhX/6O+Tq47c33FwAAOBehJ+BQhJ4AAABwGg0z7X+wZlcnlGeI0bYINAa37oafep++CPM6Orbe/tnV768nAei5/IMCfW30+b0dV1eKsBMAAHSE0BNwKEJPAAAAOIl2d7b9x2tG2ALojB2StRf06de0zkWQ1/aY9HJfB3L2MXh7bbTs1+ZcHFtn7Pe2o2P3PH4AAIDOEHoCDkXoCQAAAKfwFnjaRfAJAAAAAPAFQk/AoQg9AQAA4AQ6xtZb2GkX+zsBAAAAAL5A6Ak4FKEnAAAA+jMNMzsKPNnpCQAAAADwJUJPwKEIPQEAANBfaeDpLei0i5G2AAAAAABfI/QEHIrQEwAAAP1RR/s7tQg8AQAAAAC9gdATcChCTwAAAPQ3nQWe7O8EAAAAAPQWQk/AoQg9AQAA0N+0F3rq/k4CTwAAAABAbyL0BByK0BMAAAD9UdvgUwNPAAAAAAB6G6En4FCEngAAAOivNOjUwJP9nQAAAACAvkLoCTgUoScAAADOJbujs72xtQSeAAAAAIC+ROiJfu3UqVOmBhpffE+EngAAADhX7E5OxtcCAAAAAPoLQk/AoQg9AQAA0Ne0q9MOOz2L4BMAAAAAcK4ResIxWlpapKGhQWpra09XXV2d+Vpzc7O0tra6b+lb+rhNTU3muTRQLC8vl9LSUikqKpLCwsJ2q7i42NyusrJSampqzHHq9+ArhJ4AAADoS/Y42/aqvTG3AAAAAAD0BUJPOIYGh1lZWXLy5EmJjo6W2NhYSUxMlIyMDBMw1tfXu2/pWxpWaogZHx8vYWFhsnfvXtmwYYOsWLFClixZIosWLZLFixefPv/WW2+ZU71+8+bN4u/vL8ePH5e0tDQTmPoqnCX0BAAAQF/pLPBkfycAAAAA4Fwj9ES/096+y/z8fBM6bt26VdavXy9btmwxAeShQ4ckKSlJKioq3Lf0LQ0RNWjduXOnLFy4UCZMmCCPPvqo3HbbbXLDDTfIddddZ05vvPFGuf766+Uvf/mL+drtt98uQ4cOlenTp8u7774rISEhJqjUrlRfIPQEAABAX/Dc3+mt6PAEAAAAAPQHhJ5wBO3ijImJMaHerFmzZNq0afL666+bbsodO3ZIZGSklJSUuG/tW/q4GrZqN+eIESNMuHjVVVfJT3/6U7ngggvk/PPPlx/84AcmeLzwwgvle9/7nvn6ZZddJjfffLM8++yzJpzcvXu3pKammlG5vkDoCQAAgN6kYWZHgadeR+AJAAAAAOgvCD3Rr2lXpHZwaifntm3bZMqUKfL444/LE088IePHjzedl9r5GRERYUbc+pp2nepo24CAAJk9e7bp8PzXv/5lOju1o/Paa681p3/729/k73//++luT7185513yrBhw2TGjBmyevVqOXjwIJ2eAAAAcAQNM70FnXYxzhYAAAAA0N8QeqJfKyoqMl2cGmy+8sorcu+995qQ7x//+IcJFOfPny/bt2+XqKgoKS0tdd/Ld1paWsxYXR2jO3XqVPnvf/8rDz74oOnenDx5ssyZM8ccw9tvvy3Lly83tXTpUlMadL7//vty4MAB8z3o7lENcNnpCQAAgP6MwBMAAAAA4ESEnui36urqJDY2VjZv3iwzZ840YeOVV14pP/7xj+UPf/iD6bpcsGCB7Nmzx+zcLCsrc9/Td3QUbU5Ojtnn+fLLL8sjjzwiw4cPNx2m2v2px6dhpgajGrrqMeipjsTVUw05q6urzffS2NhoQlRfIfQEAABAb9Fg01vgyThbAAAAAEB/ReiJfkMDQR39qvs7NTTUIHPXrl3yxhtvyPPPPy+33HKL/OpXv5JLLrnEhJ6PPfaYCT21C1NvW15e7n6kntOxttqRqWGlhpraaTphwgTT6Tlq1ChZt26dJCYmmkDzXCH0BAAAQG/yDD7Z3wkAAAAA6O8IPdEvaMhYW1srmZmZcvjwYdmyZYssXrxYpk2bJiNHjjRh48033yz/93//J7///e/N/sznnntOFi1aZDo94+LifNrpqYGndnlqgJicnCwbN26UsWPHysMPPyyjR482l9PT081tukO/354i9AQAAIAvaJjZ3shaDTu1AAAAAADo7wg90S9oyKjjYMPCwkyQOWLECHnooYfkP//5jzzwwANy//33y5133mm6PW+77TYTgk6cONHs0ty9e7fExMT4dKendp16dpxqZ+eYMWPM8+qphp5paWnS0NDgvkffI/QEAABAT3l2c9LJCQAAAABwMkJP9As61ragoED27dsnU6ZMkXvuucd0c95+++0m/Hz88cfNDk/ttNS9mhqKahfo0qVLzQjc6Ohon4aeejw6ulZ3dZ44cUJWr15tOjz1uceNG2f2jGqnJ6EnAAAAnMrb3k4AAAAAAJyK/1WLc0rHvGppeKgBY3BwsMyfP9+EmkOHDjVB46uvviqzZs2SSZMmma8PGzZMXnjhBZk+fbosW7ZMdu7cKVFRUaYr01caGxuloqJCsrKy5NixY/Luu++asPOpp54yoayO1C0qKnLf+tywQ89rr73WhJ533XWXCWP12AEAAICO6MjatoGnFqNsAQAAAABOReiJc8renVlTUyOFhYWmY3Pv3r2yZs0aUzt27DBBqI7a0uBRA0fd5al7PrXTs7dCTw1h9fFSU1PNyN1Vq1aZv4TX0HX27NkSFBRkjvlc0tBz7ty5cs0118gll1xiumO3b9/uvrZ7fLFrFAAAAP2X/v/V7QWeWoSeAAAAAACnIvTEOaWhpwaMOpJVQ0YN8pKSkiQ2NlYSExPNyFu9TrtADxw4YDobNXjUeuWVV8x4294IPXWfp4aw8fHxJnRdvny52SH6/PPPm9BT/7GorKzMfetzg05PAAAAnA1v42w9S68HAAAAAMCpCD1xTtmhp3ZN6jhZ3ctZXFxsqrKy8nTnoYaQOmZ24cKFpsuzt0PPuro6yc3NNY/r5+cnCxYsMM+re0VffPFFE4IeOnTIBLMpKSkmqLXPp6WlSWZmpgls9XvqrRBSQ88333xT/vrXv8pFF10kN954o+n8jIiIMMeupZ2qelxaCQkJ5lS/pmN79fg0uK2trTU7TAEAADBwEXgCAAAAAAY6Qk+cUxpqauCmwacGjRrAael5zyBOQ8+jR4/2WeipIawGg/qcW7ZsMftDH3jgAbnhhhvk73//u/z3v/81Oz6nTp1qSsfu6qnuHtUgcsWKFea4dFxveXm5+1F9KycnRxYtWiQ33XST/OAHP5DLLrvMjLjVjlQ9Di09bj2uyZMnm52oepyvv/66rFy5Unbv3i3h4eEmBNWAGQAAAANTR+NstXSKCQAAAAAATkfoiXNOg0/t+GxpaTmjPPdLasdkaGioCRR1xGxvh57V1dWmY/PgwYOyevVqGT16tAk7f/GLX5j9mT//+c/ld7/7nfzhD3+QK664wpy/8sor5c9//rP885//lIcfftgEjdu2bZP09HTz/fmadnK+8847csstt8iFF14o5513nvz4xz82x/PHP/7RlB6THuPll18uv/71r811GpI+8cQTMmPGDFm3bp0JPrXrk32eAAAAA0tX9ncSeAIAAAAABgpCTziCjr0NCQmRN954w4Sew4cP79XQUzsfdRTsvn37ZMmSJfLcc8+ZMbI//OEP5bvf/a5ccMEF5vyPfvQjE4JqaeCooagGjNdff7089thj8tZbb8mRI0fMsTU1NZnw01fhooae+v3feuut5ni+/vWvm2PT49JjsUuPUcff6m30ODUEvffee01HqI7p1WA3Ly+P0BMAAGAA8hZ2ajHOFgAAAAAw0BB6whH6OvTUXZeRkZGyadMmmT17tumM1CDzN7/5jQk1NQC96667zMjbhx56SB588EFzXsfL/utf/zJB5COPPGJGy27YsMF0U2rnqI669dX+TA09NZC9+eabTaenBprXXHON3HfffWb8rpZ9XP/+97/Nsd1///0ybNgw89pp4Llnzx6JiYkxry8AAAAGHu3kJPAEAAAAAAwGhJ5whL4OPYuKikwHpD6+7sLUrk0NMnXE7X/+8x95+eWXZdWqVbJjxw7TDaql5zVI1ON69tlnTbg4atQoefXVV83j6G1SUlLMvlJf0J2euuNU94zqTk8dT6bPt3HjRgkICDClezv1uLZv3y7vv//+6eM9dOiQ2TeqQax+r746JgAAAPQ/GnLagSfjbAEAAAAAAxWhJxyhr0PPwsJCCQoKMp2UGno+88wzJvgcOnSoTJ8+3YSJWVlZ0tjY6L6HSENDgyQnJ5uA8fXXX5dx48adDj/HjBlj9m8ePXrUjM71hezsbPN66B7Riy++WG677TZ59913z3gddJyuHmPb0lG72nGq1/ty5C4AAADODXt/Z3tdnPp1Ak8AAAAAwEBG6AlH6OvQU5/v2LFjZrzt4sWLZc6cOTJz5kyZN2+e6aSMi4szwWFbVVVVcvz4cXnvvffMfUaMGGHG3z766KMyY8YM032pgWpLS4v7Ht2noefcuXPNSNtLLrnEjK/Vbs6eIPwEAABwnrYjbBlfCwAAAAAYjAg94Qh9HXrW1tZKZmam2eupY271H5L8/f0lODjYjIXVkbDeaBdlenq6uc+aNWtk4sSJZhzuvffeK+PHjzehpF5fU1Njgs+ehIwaemoIe+2115rQ8+6775Zt27YRXAIAAAwinqNrPYuuTgAAAADAYEPoCUfo69BTA8n6+nrTuVleXm6eXx+/rKzMfE3DTW/063pbHXO7f/9+mTVrljz44INyxx13yMiRI00HaHx8vLmNPn5POj49Q08db6vPsWHDBhOoAgAAYOBrL/DU0lG3AAAAAAAMJoSecIS+Dj27S/dk1tXVSUFBgYSHh8ubb74pDz/8sNm3qces3Z86Gre4uNjczhehp73TU0NPDVU1lAUAAMDApqGmt7DTLjo9AQAAAACDDaEnHKGvQs+ejobV+2vwqd2hJ06ckEWLFsljjz0md955p+n0XL9+vSQmJprrtSu0tbXVfc+zR+gJAAAw+GiY2VHgSYcnAAAAAGCwIvSEIzgl9NQQs6mpyYzB1dDz7bfflqFDh8r9999/eqdnRkaG2Rnqq52ehJ4AAACDQ0fjbLX0egAAAAAABitCTziCU8bbauCpoWNOTo4cPnxYFi9eLM8995w8+uijMnXqVPHz85P8/Hxzu54i9AQAABg8CDwBAAAAAOgYoSccoS9DT+2+1E7MwsJCSU1NlaSkJElLS5Pc3FxzHDU1Ne3u4tTrMjMz5ejRo6ar87XXXjPH+swzz8jrr78uwcHB5jF62lGqCD0BAAAGh84CT/Z3AgAAAABA6AmH6MvQU3dyajdmWFiYbNy4UVauXCkbNmyQgIAA8zwaNjY0NLhvfSY9Bu3wXLt2rQk5x40bZzo9R40aJUuWLDFhaHV1tfvWPUPoCQAAMHh42+OpXyPwBAAAAADAhdATjtCXoaeOnk1JSZFNmzaZkbQvvviiTJ482YSW+lwRERFSXFzsvvWZ7PvpsY0YMcJ0eL7wwgvmcTSQjIuLazcwPVuEngAAAIOHhpuegSfjbAEAAAAAOBOhJxzBDj015NPAU7snp0yZIu+8847s2LFDTpw40Wno2draKo2NjabTsry83JSer6+vN1+3R87qeR1ru3XrVpk2bZqMHDlSxowZI7NmzTIhq46t1Y7NjIwMKSoqMsemo3CTk5Nl//795hj1+J544glzrPoYepx6nd6nvdG4Z4vQEwAAYGBqr3vTDj4JPAEAAAAA+DBCTziCBpoHDhyQ2bNny9ChQ+Wpp56SCRMmyKJFi2Tbtm0ddl/aNMzMy8szt/X39zd15MgRE1bqOFsNC3W0rZaGmceOHZPNmzfL4sWLzW7O6dOnmw5ODTHnzJkjb775pixcuNDUggULzDjbSZMmybBhw+Shhx4yx6i3X716tfkHqvj4eJ/t81SEngAAAAOPvb+zvWCTcbYAAAAAAHhH6AlH0NBT/4Fn5syZ8uSTT8rjjz9u9mVq4KgdmV0JPWtqaiQmJsYEg/o4WrqvU8PUkydPmuCztrbWdGLqiNuKigrTmaldnRp+atCpo3U10Lztttvkb3/7mwkc//SnP5nS8zfccIP885//lPvvv9+MxdXO0EOHDpmAUsNIfVxfIfQEAAAYWNru7aSjEwAAAACAriP0hCNoh+TBgwdNd6WOm9XwUfdkLlu2THbt2iXR0dHmNh3RUbbavandobpnU2vu3Lmn93RmZWWZwLBtJ2ZZWZkcPnxY3n77bfPcd911l1x11VXys5/9TM4//3z5zne+I9/73vfkkksukcsvv1z+/ve/m9G2GqrqsWlwqt2jvkboCQAAMDDYY2u9FZ2dAAAAAAB0DaEnHEGDvNjYWNPVqeNmNbhcs2aN7N27V8LDw80OzsrKSvetvdMuTu3o1K5NDTs1MFy7dq3ZFZqQkCAFBQXmNm1DTw0sU1JSZPfu3TJ//nwZP368PPbYY3LnnXeagFO7O2+88Ua59dZbTReodnjqONwNGzaYMFV3h/YGQk8AAADns8fZtld0ewIAAAAA0DWEnnCEhoYGKSwsNHsxtVtTR85qd6fu48zJyTHdmHqbjuhoWd3VqeGpjpzVioqKMp2YOhpXO0G9jZ/VEFQfX59LA9b9+/ebPaLr1q2TVatWyfLly2XFihUmhNVAVYNYfey4uDgzMrez4+ouQk8AAABnI/AEAAAAAMB3CD3hCBo8asdlfX296cbU0vMaKGpQqXs423ZottXeY+j99eutra3tPoZer8+l99FwVLtKdeendnFqIKql5/VrGjp6PrY+bm8g9AQAAHCutvs72xZjbQEAAAAAODuEnoBDEXoCAAA4j4aZHQWeeh0AAAAAADh7hJ6AQxF6AgAAOAvjbAEAAAAA6D2EnoBDEXoCAAA4S0ehJ4EnAAAAAAA9Q+gJOBShJwAAgPN4G23L/k4AAAAAAHqO0BNwKEJPAAAAZ7KDTz0l8AQAAAAAwDcIPQGHIvQEAADovzTM1FDTG72OcbYAAAAAAPgWoSfgUISeAAAA/ZPn7s72gk8AAAAAAOBbhJ6AQxF6AgAA9D+egadddHUCAAAAAND7CD0BhyL0BAAA6F/sXZ3eit2dAAAAAAD0LkJPwKEIPQEAAPoHDTS9BZ12MeIWAAAAAIDeR+gJOBShJwAAwLnnbZytZzHaFgAAAACAvkHoCTgUoScAAMC5ReAJAAAAAED/QegJOBShJwAAwLnT0f5OLXZ4AgAAAADQtwg9AYci9AQAADg3Ogo82d8JAAAAAMC5QegJOBShJwAAwLnR3lhbxtkCAAAAAHDuEHoCDkXoCQAAcO60DT4JPAEAAAAAOLcIPQGHIvQEAADoG+3t57TH3LK/EwAAAACAc4/QE3AoQk8AAIDepWFmZ8EmgScAAAAAAP0DoSfgUISeAAAAvUfDTM/xtRp+AgAAAACA/ovQE3AoQk8AAIDe0XZfJ8EnAAAAAAD9H6En4FCEngAAAL7XXuBpFwAAAAAA6J/4X+2AQxF6AgAA+Ja9v9Nb6XXs7wQAAAAAoP8i9AQcitATAADAN9ru72xbjLUFAAAAAKD/I/QEHIrQEwAAoOc6G2er1wMAAAAAgP6P0BNwKEJPAACAniHwBAAAAABg4CD0BByK0BMAAKD7Ohtpy/5OAAAAAACchdATcChCTwAAgJ7xFnyyvxMAAAAAAGci9AQcitATAACg5zxH3DLOFgAAAAAA5yL0BByK0BMAAKDrNNBsL9TU7k4CTwAAAAAAnI3QE3AoQk8AAICu0VDT7uZkVycAAAAAAAMToSfgUISeAAAAHdOA0zPwJPgEAAAAAGDgIvQEHIrQEwAAoH0abLYNO+3SIBQAAAAAAAwshJ6AQxF6AgAAeKf7Ob2FnXaxvxMAAAAAgIGH0BNwKEJPAACADyPwBAAAAABgcCL0BByK0BMAAOBM3vZ32qXXscsTAAAAAICBi9ATcChCTwAAAJeO9ndqscMTAAAAAICBj9ATcChCTwAAAMbZAgAAAAAAF0JPwKEIPQEAAFy8hZ1aBJ4AAAAAAAwehJ6AQxF6AgAAuHgbb8v+TgAAAAAABhdCT8ChCD0BAMBg1F6YaY+5ZX8nAAAAAACDE6En4FCEngAAYLCxOzrbG1tLdycAAAAAAIMXoSfgUISeAABgMLE7Oe1iXycAAAAAAPBE6Ak4FKEnAAAYLNoGnnbR2QkAAAAAAGyEnoBDEXoCAICBTkNN3dHpLfDUotsTAAAAAADYCD0BhyL0BAAAA5m9v7O90jAUAAAAAADARugJOBShJwAAGKjaG2drFx2eAAAAAACgLUJPwKEIPQEAwEBE4AkAAAAAALqD0BNwKEJPAAAw0HS0v1Ov05G3AAAAAAAA3hB6Ag5F6AkAAAaSzgJPAAAAAACAjhB6Ag5F6AkAAAYab8En42wBAAAAAEBXEHoCDkXoCQAABhodX0vgCQAAAAAAuoPQE44RmFwmL+1Jc18CoScAAHCy9gJNO/hkfycAAAAAADgbhJ5wjCHP7TdF8OlC6AkAAJxIw0x7jG1HwScAAAAAAMDZIPSEI2jQaYeehJ8uhJ4AAMBp2o6v7Sj4BAAAAAAAOBuEnnCEtoGnZw3W8JPQEwAAOImGm20DT7vo7AQAAAAAAD1F6Il+z1uXZ9sajMEnoScAAHCKjgJPLUJPAAAAAADQU4SecISuBJ9agyn8JPQEAAD9nef+Tm+l1xF4AgAAAAAAXyD0hKMQfn6A0BMAAPRn3vZ3epYGngAAAAAAAL5C6AlH6kr4OdCDT6eFnqe0rP9otf6jpbXzsv6vT5zNcelt9LYAAKBjnY2z1esBAAAAAAB8idATjtVZ8DnQOS30bD0l0tDcKhX1zVJU3Sh5lVoNkl/VaEov51qX9WvFNU1S19Tqvmfv0jBTn6u8rlkKzXG5juGD42pwH1ejlNY2me8BAAC0j8ATAAAAAACcC4SecDxv4ae3Ls/A5DL3uYHBSaGndkc2NJ+SstpmSSutlxO51XI4s1LCMiok3Do9klVpLoemV5ivxeRXm2C0t2kQW9/cakLW5OI6icipsp6/zXFZl/W49PhOFtSYcBQAALSvvdCT/Z0AAAAAAKA3EXpiwLDDz/bG2nYUiDqRU0LPppZTUtXQIgVVjRJfWCvBqeWyJaZIVh8vkFXH82VNRIGsiywwl1cczZdVx/Jle1yxROdVS7V1v96gIWyj6TptkdzKRonJr5GA5DLZGFUo71rHpLXWfVx6Xo9Lj29PQokkFNXS7QkAQCc04GwbeAIAAAAAAPQmQk8MKBpoeuvotAPRgRR8OiH0bGw5ZUbGxubXmPdlw4lCWRCaI1P2pcuYnSky2qqxu1Jl/O5UGbMrRV7cnmy+Nt0/w4SNB9PKTQemBqY6Fre2scWEqGa3pvs5uqO+qVVyKxokMqda9ieWmYBzXnC2TNqbZp5fa5x9XNb5F6zj0uObFZgp663vQbtA00vrTDdqpXVcOh632RyX+wkAAMDp4JNxtgAAAAAAoC8QemJQ8Aw8PcvJ4acTQk/t1NRRtquP55tA8YmNCXL3yhj5+9sn5C9vRcifF0bIX9+KlOsXRVqnEXLtAtfXbn4nSh5ad9IEjvOCs2RTVKEcyayUrPJ6EzI2trSa4LO7dMyuBpfvhOeacPPR9fFyx4oYuXHJCfP8WtdZx6THpcd5jXVcevqvZdHmthN2p8rC0GzTkXoip8rs/dTv1RXIup8EAIBBQAPN9ro4dZQtgScAAAAAAOgrhJ4Y8Np2eXorJ4af/T301Ewyt6JRtsUUy/PvJ8k1C47Lj6Yfku++fFC+OTFYvjIuSL5s1VfHB8nXxgebU72sX//WxBC5YEqoXDrrsAlDn9mSKMvCcyU8o1Ky3cGnBozd0dx6SlJL6mTN8QJ5YkO8XPnGUbl46iH5zqQQ+cYEz+MKNsfleZzffilEfvBKqPxqTrgJbrUzVbtEIz2CT318AAAGA88RtoyvBQAAAAAA5xqhJwaFrgSfV88/7qjw83Toee217tDz9n4ReupIWw3/NPAMy6iUOQcy5R/vnDCB4cdH+MuQZ/bJkGFWPe0nQ4ZapafD3KenL1vXP7tPPvG8vwlIr11w3ASM6yIKTIemdnzqqNuuMjs8reOqrG+RrLIGs7/zZb8087gaZn5kuPUz4HlcdrU9Lr2NdVyfGhkg35t8UG5acsJ0sG6JLpIId/DJvk8AwECnHZyegadddHUCAAAAAIBzidATg0ZXgk8tpwSfOdnZ8sa8ufLna/4kl1z0A7nz9ttk4/p1UldT7b5F39PAT/dv6q5M7fDUwPOBNXHyi5mH5TMvBLiCwyf3ypCnrNLT9kqv17Ju/6mR/nLR1FD5h7uzUjs+ddSt7vjsCu271J2bORUN5n66V3Tq/nS5c0WMXDLtkAlWhwz1eN62x+JZ9nEN85PPjQqUn84IkzuWR8vE3amy5ni+ROdVm+cCAGCg0sCzbdjpWXo9AAAAAADAuUDoiUGnq+FnYHKZ+x79U25Otrw5b6785Zqr5ZIfXCB33X6rbF6/Thpq+z701GCxpVVMEKnB37vH8uX5bUmmw/MXsw7L1ycEu7o87c5JPW17vm25r/vocH/50tgDZgStdmbqqFvd8anhakf0mLR03GxJTZMJPBeH5crQTQlmV+ePXw2T/zc2yHp86/0+/Xza7el+/vbKfTsNS7VLVB/nb4sjzf7RvQklUuUljNXjAADA6bST01vQaRedngAAAAAA4Fwi9MSg1Vn42d/peNs33ONtL7n4Irnj9ttl/XvvSXV134631UBP11g2NJ+S/KpGMzpWR77qDk8daasdnhp4mhGyz+p42A+/1l5Lb2fd/iPWeQ0mdaSsjrq9blGEzAvOkuTiOtcBtENH2moQq52XWeUNsiOuxOwWvWLuUfnahCD5tHVcH9Mg1jzX2RyX67b6/ej9/8d6nO+9fFBuWx4ty4/kmdcAAICBprPAkw5PAAAAAABwrhF6YlDT4FN3ebYNtpww4jYzK0fmvrlQrrn+JvnBTy6Vm++8T95ZvV6yCstEew2brKpsPGW6LzX4661uQw0XtZuypqFF0kvr5f3YYhm2OVF+8mqYfGyE9Xra3ZwaFpqdmGe+1u2W3s69Q9PusNTuyktnHTZdlQfTK8zu0PZoENvk3uOZVFQnayMK5IG1cXL+lIPW41uPqXs63btDz+647Ntbpd+bVZ95MUCufOOYvOqfISdyq9nrCQAYMNrb32mXXkfgCQAAAAAA+gNCT8Di2fXZXuDZ0XXnQlpWrsx5a5lcffM98r3LrpK/3P2ozFy2UcJTCiW9SiSl8pTEFNZJfGGtGQXbqulkL9CH1ZCvrLZZEqznei+yUP773km5YEqoK1R8co8rHNRQ0S47QOyoPG+v99edms/ukwtfCZWH152UNREFEptfI8U1TVKvoW6bb0+/X/26Xq8jd5eG55k9nt+YGOx+POu4TBjr8TzejqNtnb699b1pcPrUXtOJ+rMZh+XZrUmyLbZYEotqpayumfATAOBone3v1MATAAAAAACgvyD0BDy0F2p6hqJa5zr81AGq0am5MnXRWvnDnU/Kt678l/zu3uHy/MLNsv5YluxPq5U9KTWyNa5U9iSUSFRetVR62TXpCxo21ja2mGA1MqfKjHi9f3WcGflqQkU79PR4/c669HGe2mtCVB2Z+8+lUTIjIEN2niyR2IIaKalt+lCo29J6ynSC5lQ0SHhGpSw4mC23WPf76vhgV1ipIaqGst6eryulwad+X3pc1nkNY+99N1beCMmWfUmlJvgsr+ud1xwAgN7WWeDJ/k4AAAAAANDfEHoCXeAt9NKxuH0ZfmqmV98iUtooklTaJNsjMuS5+ZvksvvHy1eue0J+/J+X5Z45W+WVPYky71CBzDmYL9MDsmRucJZsiCqU49lVJpjUgLKxudWMftVgUMfAtmmSPCsaNuoI3dSSOjmQUiZvWM+n+y2/OTHEFS4+4aPQU0NK63G+Mi5IrlkQIS9sT5blR/MkNL1CcisbzPfiSUfultY2me5Tv4RSme6fIdcvipQvjTngCir1uHoSemqZjlHrsZ5xhbE3vX1CJlo/E2sjC+RoVqUUVbPfEwDgXO3t8STwBAAAAAAA/RGhJ9CJtl2ebauvgk8N9XKrmiQ0s0ZWHCuUsdvi5KYZO+T8R9+Uz90xTb75yEL53eSdctvSSLlvbYLctTpebl8RI/e9GyvPbkk0nZGrjuWbAFD3TmoHZFVDizS2tPZo9G2LdV8NUzVUXX+iQCbuSTXh4lfHB7k7Kn0ReuqYXFfoqaHl7+celcc3xJtA1y+xVDLK6j8Ueur3pd9jWEaFvGt93y+8nyx/fOOYfH60O/Tsaaenlh16Wo/z9QnBcs2C4/Lc1iRZdChHglLLTRgLAICTeQaf7O8EAAAAAAD9GaEn0InOQk+7ejv8rG1slePZ1bIgNFceXHdS/jg3XC6c4CdfGLZRPvHoGvmfpzbJ10btlQsmh8hF08LkwlfC5PwpoXLx1ENy6axwuerNY6YDc+T7SbLsSJ4czqiQ7PJ6M/a2saUHoWfrKRM67k8qlfkHs2XopgS58o1j8uWxQa4OTfdYWm+vWZdL7+9+nC+OOSC/fe2IPLg2Tl71z5DtccWmy1Q7Oz3VN7dKUnGt7DxZLHMOZJo9oL+eEy6fGxV4ehendmh6fb6ulv39WY/ztQnB8n/W9/3Exnh5PThL9iWWWq8voScAwBk0zGwv0NSwk/2dAAAAAACgvyP0BLroXISf2oCpoaIGnuml9bI5usiEir+cHS5fGntAPvG8v3x0uPu5n93n2jNpH4u5vE8+Yl3/8RH+8pkXA8wIVg0/R2xLkjXH8+VoZqVkldeb3ZfdpWFjSkmdCR+n+6ebMFJDST0+E1ZqwOiL0NP9OPq4duipz6fPq8/fNvSsa2qVuIIa2XCiUF7emyZ3r4qRn8887Ao9tUNTH88Xoac+jvU6a6fn/1mvrQk9gzLdoWe9+2gAAOi/PLs56eQEAAAAAABORegJnAUNNHWXp9cAzKN8EXxqhqfjZ7PKG+RYVpUJPPVxr18UIV+fEOR6rmcDZMiIYBnyfIh1WUNGf/fo1j2unZV6qpe1hu414ef5Uw7KTUtOyJidKbLyqKvjs7AHuyc9Q89XAzJOh57aken7Tk8/+X9jg+TKecfkqU0J8mZIlukw9Tbe9nToGVUoL/t9EHp+9kUfhp76OHpc1uN8c2Kw/GVhhAmUl4TlSEhqueQx3hYA0M+13dtJRycAAAAAAHAqQk+gG7rS9dkTGt/peFYNPAOSy+SNENfY2BsWRcolUw+5gjvt6nzWX4YMPyBDRmgIan3tGetrJtBzhZwm2LMDPtORuN+EkT+afsiEp8M2J5p9lxpadpeGjell9Wa3pu7YfHxjvNm5qbs3zXP7cnem9T3ortDr3oqQ8btTZV1kgRzNqjQ7RXW3qCd9/RKLauX9uGKZGZghD6yNMx2y5rXT18IdVnp9vq6WPo6Gy9b3951JIXLL0iiZtj9dtkQXSVRutZTUNLmPBgCA/kcDTs/Ak+ATAAAAAAA4GaEn0APthZ896fTU7E67JyvqWyQmr0beOZwr/1kTJ7+cFS7fmBhsxrNqx6Yr9LSf07psP7/99TNq3+mAT0fi6mPoqNur5x8zXZDHs6vcz372NPTMqWiQ0PQKWX40T17YnizXLIiQr4wL8gg9rVP7+LpT+jgaLg71k29ODJFbl0XLvOAsCUwuk5TiOqmoa5bWNqFnQ3OrCWM1NF4clitPb06UK+Yelf81Oz2tY/JFB6pH6HnBlFB5wHqf9P3S10K7T7VTFwCA/kZH2LYXeGoRegIAAAAAACci9AR8wDP8bC/w1LG4XQlDNUTUwK6ouknC0itkun+GXLvguGtHph1eapBpTt3nPYM4b+V5ez0d5icfG7FffvBKqDyxIV72JJR0O6DTsFE7GmMLamTnyRIz4vafS6PkWy+FuEJF91har8fV1bJDT+txvv/yQRMuaodqTF61FFuvU31TqwmLPTW1nDIdoJG51bIlxjUa+C9vRZjxuObxetrpqa+pHXpar+uPp4eZzlnt8kworJXS2ibzPgIA0J9o4Okt6LRLx90CAAAAAAA4EaEn4CN28OlNV0JRm3Z51jS2SLZ7tK2Ocb38tSOmQ9M14tUd1nU18NTS25nbW2UHkU/7ydcmBMtty6NNd2Jsfo2U1zVLY0vrh7omO6I31VGyJvi0HmNNRIE8tO6knD8l1HWc3e30NMfsrtMdlX5y0dRQ07W5J77EhJoabuoxtD1iDY9rm1qloLpRInKqZElYrtxufa/fsL7nDzpQrePz9twd1enjsu6r74Uel/V17cQdtytFDqaVm8BTn/8sXkYAAHpd2/2dbYvAEwAAAAAAOBmhJ9DLdATrh4Izq9oLPxubW6WsrlmSi2tN5+QL7yfLZbPD5aPDrfs9uccVtJ1N4GmXHdZpEKmh51A/+cKYA3LNguPy0t402R5XLDH5NVJU3WiCz+6obmwxod/oHSnyi5mHTTepOV47XDybY7aPVb9Xd2emvgaXzjpsgmDd5akBcVfo66ndrE9uTJALXwl1PaYdHtvP1fb52yu9r+dxWY/z6ZEB8sc3jsnswEyJL6x1PysAAP1HZ4GndoACAAAAAAA4GaEn0Ms8uzy9Vdvws66pVfIrG+VETpW8F1kgT29KkJ++eth1e+0qNKHnhx+ny2WHnlZ95sVA+e1rR2So9RxLDudKYEqZpJXWmXGx3aU7Nt8IyZLrF0XKt14Klk+NDHAFtvZza1jY9pi8lX6P1m0/Yp3/2HB/8zj6ePq4us9TQ+GzcSK3Sib7pcmVbxyVr4wPkk8+79/muNznOys9fj0u674fG+FvvYYB8v3JB03H7PIjeZJf1eh+RgAA+ofO9ncSeAIAAAAAgIGA0BPoRdrlqbs8vYZnHuUZfFbWN0tSUa34J5XKgoPZcv/qOLnolUOusM3HoacGiT+feVjuXxMnMwIzZFtssZwsrJHaxu7t91S6i1S7RrXb8+9vn5AfTQ+T/x0V6OqKfNw6fh0rq+e1+/NDpV93l97GKg08vzo+SH4247B5vFE7ks1x6mhbb9rr/cwqr5d1kQXyzJZEs9vzwimhpkPTvBZne1zWqY4b/ubEYPnV7HATeL68N828Z/r+AQDQX3S0w1MDTwAAAAAAgIGC0BPoA511e9qlt9PdmMeyK2VNRL51OVVufueE6SQ0QacdzPU09NQdmVZp6Kmh5O0romWi9VwaCkblVZudot2lgWliUa3sOllixr3qHs1vvxTiChYf3CFDHt7pCm/dwat9LOa8fn9a5rwr4NVj1MDzP2viZM6BTNkRVywnC2qkuuHsjlHDyBjre9sSXSRT/NLlb4sj5Utjg2TIo7tlyAPWcf131wfP3d5xmbKOy3oPPj/a1SX7xIZ4WRCaI/sSSyWlpE4amrvfJQsAQG/wFnyyvxMAAAAAAAw0hJ5AH+pq+Png2pOyMDRbntWuxIURct6kENd12uXpq9DTepxPv+AKPW9dFiXjdqXI6uP5EplbZXZzdldL6ykzolc7MUPTKmSS9T3/Zs4RV8fkw7tcIaM+v+mctDsptVzHZEovW8epO0F1pK12eGrgGZZeIXmVjSaU7eo+T5seV21jq+RUNIhfYqmM2JYkl0w75Ao1NYh9zDou+7k7OS7t8jx/ykG5e2WMLA7LlYicaimsbjLftz4PAAD9jedOTwJPAAAAAAAwEBF6AudAZ+HnpbPC5c2D2fL05gS5ZsFxV6ekXufL0NOq/3khQH46I0zuXhUjU/alyYaoQonJ71mnpycNGNdFFJgQ9yevhsnXxgfLl8cFydcnBMtX3ef/39gg+dLYA/KlMVZZp1+xvvYt6/u9YEqo/GLmYbPDU0faaoenBp49zRRbWkWSi+vk7bBcuX15jFw09ZB5zg+Oy3X+zOMKMsd7nnVcF74SKpfNDpd/Lo2SKX5pZoRxaS0jbQEA/YOOrG0v1NSvs78TAAAAAAAMVISewDnSUfD50NqTsjgsx3Qj/vWtCFfoqTs9tSvRF6Gne4SrdnrqTsrHzYjW7NMjWrVj0Rd0BO2J3Gp595iO6k2TJzYmyN2rYk3n5rULI+TKN47J5a8fMWNi9fQP847KtQsiTKD40LqTMnpniswLyTI7QuMLa30WxpbVNsvhzEp5+3CujLWe49H18XLnihi5cckJEzLrcXgelx6ndtzeuiza3Hb87lR561CO6RhNK2WkLQDg3NMwUwNPu5uTcBMAAAAAAAw2hJ7AOdY2/Hzh/WQ5ll0layMK5KW9aXLzO1HyvZc9dnpql2ZPQ0/3fsrPvBgof3zjmIzZmSKbogolIqdK8isbpVHbIX1AR9BWNbSYDk3dw3kgpcwEoK8GZMiLO5LlqU0J8vB7J+XBtXHmVC+/uD1ZZljX6/cfml5hQtjimqZujbRtT2PLKamob5bsigaz51PD3qXhefLK/nR53nr9NZx9eJ3ruP5rHdfQzQnmNXotKMu8TkeyKiWjrF5Ka90jbU8x0hYAcO54jq71LIJPAAAAAAAwmBB6Av2EHX5qGKddjXsSSmVucJbctzrWjFs9I7T0Rej51F75wugDct2iSJkVkCHBKeWSXlonldbz+ypcbEuDy7iCGtl5skSWH82TN0KyZWZghkz3Tzenelm/rtfH5tf4rLOzM+V1zSbw3RpbbMJPfd01eNXjmhWYKfNDs+Xd4/mmszOpuNZnoTAAAD3VXuCppZ2fAAAAAAAAgwWhJ9CP6H5I7RwsrG6UmPwa2RRdJLcvj/5wcNmd0FPvozVMQ889JvTUvZX/Whol7xzOlfiCGhN4NrWc6vHezI5od6QGn9rFqR2WO08Wm/G1eqqX9eux1vUlNU3ue/SNgqpGicqrlpC0chNu7nAf166TJeKfVCZhGRWSUFRrQmkAAPoDz3G23opOTwAAAAAAMJgQegL9jOaNOi1Vx8Jq96HukvQaYp5NmcBTO0StGubn6vR82k++OTFY7l8TK1tjivosZNT9lyW1TZJb2WBGxKaW1JkRtnqql/Xren19H+/JrG1qMWN0cyrOPC7d2ZlpXc6zjqusrtmMxgUA4Fxqu7+zbel1BJ4AAAAAAGCwIfQE+rHNUUXeQ8yzrdOhp315n/zPCwHy0xlh8tzWJAlOLe+1kbZtaaDbav1Hi/V8Wvq8dtlf0+v7ek2m53F5HtO5Pi4AADxpmOkt6LRLx90CAAAAAAAMRoSeQD+m3Yc6WvWPbxz7cJDZtoa7TzXc1L2dnqUjbbWs6z/7YqDp8Lx01mG5Y0W02V8Zk1/tfkYAANBfdbS/U4vAEwAAAAAADGaEnkA/pl2GSUW1si2mSK5d0MUxtxpyDt1rdnaeLh1nq6fP7ZNvvRQif5p/XJ7enCjzD2abPaJ5lY3uZwQAAP1RZ4En42wBAAAAAMBgR+gJ9GM6TrW6oUWyyxvkYFqFzAjIkO+/HPrhoLNtabenHXgO9XOFoE/7mZG2v5wdbgLP9yILJSq3WvKrGqWuqW/3ZwIAgLPnLexkfycAAAAAAIALoSfgEEXVTbI9rkQe25AgF009JB+1x9l6qU+MCJBPv+Cqz40KlC+OOSDfmBhsdnjeuSLadHhq4KmBKgAAcIa2+zw18AQAAAAAAIALoSfgEI3NpySuoFZWHi+U57Yly02LjsrXR+2VTzy764zA8ytjD8jPZh6RX8w6Ir+cfUR+P++oXL8oUu5ZFSPPbU2UN0KyJDClTAqqGGkLAEB/1V73pj3mlv2dAAAAAAAAZyL0BByi9ZRIZUOrZFa2yOGsGlkRmiqPzt8hP3t0lnz6gbdPh57/WHxM7lmTIP95L1H+uz5Bhm9Lkr8sdO0DfWBNnMQV1Eh+JSNtAQDorzoLNhlnCwAAAAAA8GGEnoBDpecVyevvbpWrHnxRvnrNf+TCO0bJFRM3y/ObY2XqgVyZHZIv8w7myC1Lo08Hona9tCfN/SgAAKA/0ZG1niNs6egEAAAAAADoGkJPwKFqyktk6er35K93PyrfvvxvctltT8njc9bK2yGpsi2hSnYlV8vepHJ5eN3JD4WeWlfPP074CQBAP6Hdm20DT7vo7AQAAAAAAOgcoSfgUBXFhbLknWXy15tvl/N/8Tu59rYHZNritXIwMV9Sq0QyqkWe2ZLsNfD0LIJPAADOLXucbXtFtycAAAAAAEDnCD0Bh8rNyZE358+XP//1ernohz+RW26/S5avfk/ySsrdtxBpbBUZtyvVa9jZtgg/AQDoewSeAAAAAAAAvkHoCThUdnaWzJs7V/58zZ/kkosulLvuuE02b3hPGmqr3bc4k4aa3sLOtkX4CQBA32hvnK1djLUFAAAAAADoOkJPwKFcoefr8udrrpZLfnCB3H3HrbJlw3vSVFfjvsWHaaCpuzy9hZ2eFZhc5r4HAADwtY72d2rpdQSeAAAAAAAAZ4fQE3Co7OxsmTdvnvz52mvkkosvkjvvuF02rH9Pamu8d3p66qzrk25PAAB6h4aZ3oJOuzTwBAAAAAAAwNkj9AQc6nTo+ec/y8UXXyx33HGHvPfee1JVVeW+Ree8hZ8EngAA9J6OdniyvxMAAAAAAKD7CD0Bh/JF6GnzDD+90et1LC6BKAAAPedttC3jbAEAAAAAAHqG0BNwKF+GnkoDTW+hpmcgSicoAAA95znilv2dAAAAAAAAvkHoCTiUr0PP9miHp2foSfgJAEDXaJjZ3o7Ojq4DAAAAAADA2SP0BByqL0LPtl2e3orwEwCAD/Pc3cmuTgAAAAAAgN5H6Ak4VF+Fnu11enoWwScAAB/wDDwJPgEAAAAAAPoGoSfgUH013lZ1peNTi/ATADDY6cjatoGnXezuBAAAAAAA6D2EnoBD9WXoaetq+BmYXOa+BwAAg4O9o9Nb2KnF/k4AAAAAAIDeRegJONS5CD1tnYWfhJ4AgMFEA09vQaddjLYFAAAAAADofYSegEOdy9BTtRd8MuIWADCYeNvf6VkEngAAAAAAAH2D0BNwqHMdetrahp/e6G0IQwEAA01H42y12OEJAAAAAADQdwg9AYfqL6Gnrb1gs20oSvgJABgIOtvfSeAJAAAAAADQtwg9AYfqb6FnezwDT4JPAMBA0d5YWw08AQAAAAAA0PcIPQGHckLo2bbLs20RfgIAnKxttyf7OwEAAAAAAM4dQk/AoQZC6GkX4ScAwKns4JNxtgAAAAAAAOcWoSfgUE4Zb6u6En5ePf844ScAoF+yg01vNOwk8AQAAAAAADj3CD2Bbjh16pT73LnjpNBT0fUJAHAaDTM9x9eyrxMAAAAAAKD/IvQEHMppoaetK+FnYHKZ+9YAAJwbup/TM/C0i72dAAAAAAAA/ROhJ9BD9fX1UlZWJoWFhVJQUCBFRUVSUlIiFRUVUldXJy0tLe5b+pZTQ09be+EnnZ4AgHOtvcDTLsbZAgAAAAAA9D+EnkAXtTfStri4WGJjYyU0NFSCg4Pl0KFDcvz4cYmPj5f8/HwTivYGp4eeSgNO3eXpGXp6Q+cnAKCv2Ps72ysCTwAAAAAAgP6J0BPogebmZklMTJQdO3bI0qVLZfHixbJy5UrZunWrBAUFmet6K4QcCKGnze769Nbl6dkRShcoAKC3aJjZUeDJPk8AAAAAAID+jdAT6KbW1lYzzlb/kXT+/Pkybtw4UzNnzpRly5bJrl27JCYmRsrLy9338K2BFHp2xA48PYvwEwDgS/rf5d6CTrvY4wkAAAAAAND/EXoC3aDBYnp6uoSEhMjChQvl6aefljvvvFMeeOABE3wuWbLEhJ469lZ3e/aGwRB6enZ5ti0di0v4CQDoqc72dxJ4AgAAAAAAOAOhJ3CWGhsbJSUlRfz8/GTRokUm8Lzuuuvk8ssvlxtvvFGGDx8u77zzjuzbt08SEhKksrLSfU/fGgyhp7ews20RfAIAuquzDk/2dwIAAAAAADgHoSdwlvLz8yU4OFjefvttGT16tNxyyy1y6aWXmuBR930988wzZr+n/kNpcnJyr4WQg2W8bUfdnp5F+AkA6A5vnZ763+cEngAAAAAAAM5C6Al04NSpU9LQ0GD2cmZlZUlUVJTp4NRQ8+WXX5bHH39cbrjhBrnsssvk5z//uVx//fUyYsQIc31AQIAkJSURevoI4ScAoLd4Bp8aeAIAAAAAAMB5CD2BDrS0tEhpaalERkbKxo0b5fXXX5cJEyaYEbZPPPGE3H///XLzzTeb4PGvf/2r3Hfffeb65cuXi7+/vyQmJjLe1oc00NRdnt7CTs8CAMAbDTfb6+DUsJP9nQAAAAAAAM5F6Al0oKmpSXJycmTXrl0yefJk+fe//y233nqr3HnnnfKf//xHHnjgAbn33nvl7rvvNpefffZZmT59uqxcudJ0hMbHxxN69oKOuj7p9AQAeOPZzcnoWgAAAAAAgIGH0BPogI62zczMlPfff990cGrAefvtt8uDDz5oAk4dZTts2DAz5vapp56SUaNGyaxZs2TVqlV9Fnpee+21p0PP9evXS01NjfsWA5+38NObwOQy9zkAwGCkXZx24MkIWwAAAAAAgIGJ0BPwQnd56mjb2tpaEy4GBQXJ22+/bbo9p0yZIm+88YasWLHC7O6cOXOmvPjii/LMM8/I6NGjT4eefn5+cvLkSamoqHA/qm95hp6XXHKJ6Tbdtm2btLa2um8xeNjhp7cuT/s6HYtLFygADC7a0ekZdnoWwScAAAAAAMDAQugJeKHBoXZ56qjYgoICE14ePHhQ9u7da/4BVXd8JiQkyPHjx013pQah2vn5wgsvyIwZM/os9Jw7d65cc801JvS85557ZPv27e5ru0fDXqdqr5vTswu0vWAUADDweI6z9Vbs7wQAAAAAABhYCD0BL7TLs76+3oymLSkpkby8PDPmNiMjw4Sgep0Go8XFxRIQECCzZ8+W5557TkaOHCmvvvpqn4We2nFq7/TUsbtr1qyR0tJS9y1cmpubP1T6/Wnp9+DkoLMzdpentyL8BICBi8ATAAAAAABg8CH0BLzQMLCxsdGMt9VuTw0utTQE1Q5Qm14XEhIir732mgwfPrxPQ8+cnBxZsGCBXH/99XLRRRfJn/70Jxk7dqxs3brVHJPW/v37TXfqnj17ZPfu3ac7VY8cOSJxcXEmxNVQV0Pcgchb2Nm2CD8BYGBpu7+zbel/DwIAAAAAAGDgIfQEvLB3ejY1NZnwU4NOPdXy7IwsKysz/3g6Z86cPg89c3NzZcmSJXLzzTfLhRdeKD/84Q9N1+cDDzwgjz32mKlHHnlEHn74YfO1+++/Xx566CHTkTp9+nRZuXKlOcbY2NgPdYcOFBpo6i5Pb2GnZxF8AoDz6X8fdxR4ssMTAAAAAABgYCP0BDqgAWfbsul5HXW7b98+mTVrVp+Pt9XQc+nSpXLrrbfKBRdcIF//+tfle9/7nvzoRz+SH//4x2eUjr/V22gweuWVV8p9990nEydOlOXLl5tdpTq+1/N7G2g6GnPrWYSfAOBMGnh6CzrtYpwtAAAAAADAwEfoCXSThoT5+fkm3Jw5c+Y5Cz3/9a9/mU7P8847z4Sal19+ufz+9783dcUVV8jvfvc7+fWvfy2//OUv5be//a3ccMMNpgtUuz3Xrl0rhw8fNuHtQA49bV0NPwEAztJR6EngCQAAAAAAMDgQegLddK5DT93puWjRIrnppptM6Kmh5p133mn2ek6bNs3U5MmTZdKkSTJhwgQZN26c+Ydf7UpdtmyZ7NixQ8LCwiQlJaXXjrG/6ij8pNsTAJzJW/CpXwMAAAAAAMDgQOgJdJNn6HkuxttmZ2fL/Pnz5a9//atcdNFF8re//c3sFj169KhkZmaaSkxMlLi4OFO6u1NP9Wvp6elmpG1JSYlUV1eb3aWDTXvBJwCg/2svzNQ/7tGwU/d3EngCAAAAAAAMLoSeQDf1h9Bz3rx5cu2115qdndrluWnTJmloaHDfAl3hGX566/K0r6cDFAD6B7ujs72xtYyzBQAAAAAAGJwIPYFu6g+h59y5c+Waa66RSy65RO655x7Zvn27+9ruGQx7PdsTmFzmPncmOxDtKBgFAPQNu5OT8bUAAAAAAABoi9AT6Kb+1ul51113yebNmwflqNre4tkFSvAJAOdW28CT4BMAAAAAAACeCD2Bbuovoeef//xnE3recccd8t5770lVVZX7Fugpb4GnZxF+AkDf0B2d3gJPLcbZAgAAAAAAQBF6At1E6Dnwtdfp2bYIPwGgd9j7O9srDUMBAAAAAAAARegJdBOh5+DRlfDz6vnHCT8BwIfaG2drFx2eAAAAAAAA8EToCXQToefgQtcnAPQdAk8AAAAAAACcLUJPoJsIPQenzsJPQk8A6JmO9ndq6chbAAAAAAAAoC1CT6CbCD0Ht/bCTwBA93XU4alhKIEnAAAAAAAA2kPoCXQToSc0+NRdnnbg6a3LU79G9ycAdJ23Tk/G2QIAAAAAAKAzhJ5ANxF6wtZRsOnZBUr4CQCd025OAk8AAAAAAACcLUJPoJvs0HPPnj0yffp0GTZsmAk+p06dKsuXLzdfj4uLI/QcxDTk9Aw9CT8B4Eztjau1x9wyzhYAAAAAAABdRegJdJOGnnl5ebJr1y6ZMmWKPP744/LUU0/JpEmT5O2335adO3dKTEyMlJeXu+/hW4Se/Z+3wNMuHYtL+AlgsNIw0x5j214nJ4EnAAAAAAAAzgahJ9BNdui5e/dueeWVV+TJJ5803Z6TJ0+WpUuXmjA0NjaWTs9BKjC5zGvY2bYIPgEMNm3H13YUfAIAAAAAAABdRegJdJOGnkVFRRIUFCQLFy6UiRMnmsBz/vz5snHjRvP1pKSkXgshCT2dob0Rt22L8BPAYGCPrfVWdHYCAAAAAACgJwg9gW7S0LOyslLi4+Nl3759JujcvHmz+Pn5SXh4uPm67vysq6tz38O3CD2dhfATwGDXUeCpRbcnAAAAAAAAeoLQE+iBpqYms7MzJydH0tLSJD093ZzXDlD9em1trbS0tLhv7VuEns6jgabu8vQWdtpF6AlgILL3d3orvY4uTwAAAAAAAPQUoSfgUISeztVR1ycADCQaZnYWeAIAAAAAAAC+QOgJOBShp/O1DT+9dXnq1+j+BOBEjLMFAAAAAABAXyL0BByK0HPg6CjYtANRHYtL+AnAKQg8AQAAAAAA0NcIPQGHIvQc+DTk9OwE1SL4BOAEHYWe7O8EAAAAAABAbyD0BByK0HPgaxt4ehbhJ4D+ru0uT71M4AkAAAAAAIDeQugJOBSh58AWmFzmNexsW4SfAPorDTjtwJNxtgAAAAAAAOhthJ6AQxF6DnwaaOouT29hp2cRfAI4lzTQ1C5ObzT4JPAEAAAAAABAXyD0BByK0HPw0FDTW9jZttqGn6e0rP9otf6jRau1/dLb6G0B4Gx47u5sL/gEAAAAAAAA+gKhJ+BQhJ6DT1fCT8/gU8PM+qZWKa9rlsLqRsmvapS8StdpgVV6mlvZYE5La5ukobnVfU8A6Jh2cLbd2alFVycAAAAAAADOFUJPwKEIPQevjsJPW+spkfrmVimuaZKU4jqJyKmSw5mVpo5kVcpRq/T8oYwKCbdO4wtrTTgKAJ3x3NXprfR6AAAAAAAAoK8RegIOReg5uHkLPvVrOqK2sfmUVNa3mK7OZeF5EphcJpuii2T18Xx516q1kQWyzqrVxwtk5bF8WRNRIHsSSiWxqJZuTwAd8hxn663o9AQAAAAAAMC5QugJOBShJ5QdftpjbTW01LAzKrda/JPKTgei18yPkLG7UmSMVeN3p8qEPanW5VQZtSNFxlmncw5kysaoQtMBmlFWbzpEK+ubzXjc5tZTZj8ogMGNwBMAAAAAAAD9GaEn4FCEnvBGR9Qeyaw0HZ5XvXn8dOhp14VTQuX6RZFyw+JI+etbkfLnhRFynXX51uXR8viGeHlpT6q8dShHdsQVy4mcKsmrbJDaxhbTQQpg8PK2v9OzGGkLAAAAAACAc43QE3AoQk+01dJ6StJK62VtRIHc/E7UhwJPuz77YqB8fUKwfHV8sHxlXJB8zTo9b1KIXDz1kPzmtSPyj3dOyKgdyeZxInOqpKCq0XR8Ahh8NMzsKPDU6wAAAAAAAID+gNATcChCTyizw7PllFQ1tEhWeYPZ3znZL10umBLqNfA8o57ZJ0Oe9nOVnn92n3x6ZIB8b/JB+fvbJ+TlvWmyJbpIIrKrJKeiQWq049P9vAAGPg08vQWddjHOFgAAAAAAAP0JoSfgUISeUHVNrSaQ1F2cupNzun+G3LUyRn447ZB8bLi/97CzbT29T4Y8tddVw/zkc6MC5eczD5vH0XG3y4/kSUBymSQW1UpJbZM0tRB9AoNFe3s8CTwBAAAAAADQ3xB6Ag5F6Dl4aeSo1dx6SkpqmuRoVpW8fThXnt6cYHZ1/uTVMPnyuCD5yPD9JsQ0XZzews62pbcbtk8+8by/fGNCsPxi5mG5cUmkPLUpQV4PzpKdJ0skJr9aSmubzHEAGBzajrdlfycAAAAAAAD6I0JPwKEIPQcvHWmrzZba5akjbXfElcjI95Pl93OPml2dn34hQD4+wt3l+ayOrW0TbnZU1m0/Ony/fGpkgHxxzAE5f8pBuerNY/LY+ngTfL4fVywx+TVSUd/sPhoAA4WGme0Fmhp8ahF4AgAAAAAAoL8i9AQcitBz8Go9JWbEbGV9iyQV1cnaiAJ5cG2cCShNcDnUz3RsmsDT7OpsE2x2VPbt3eGnjrq98JVQ+fPCCHl0fbxM2ZcuK4/my/6kUonOq5bMsnrTbVrd0CKNza3SYh2chrIAnMVzfycAAAAAAADgRPzLFuBQhJ6DV+upU1Lf1GrCRg0el4bnmf2b35gYLEOe9pMhT+5xnbrDyy6Hnua2dujpCk11L6h2fF4wJVQuf/2I/G1xpNy3Olae3ZIoU/drAJonQanlklpSJ+V1zdLgDj4BOEfbvZ3a0QkAAAAAAAA4DaEn4FCEnoOXhoraWZlT0SDhGZWy4GC2/GtZlHx1fLCry/PJva5OT2/BZjdKg08dmfv50Qfka9ZzfGdSiPxw+iH54xvH5OF1J+XNkGwJSimXNHfwqR2fAJyhbeBpl34dAAAAAAAAcBJCT8ChCD0Hr+bWU1Ja2ySJRbWyL7FUXvXPkBsWR8qXxhyQIU/tlSFP7PFp6Hm69DG1g3SYn3zEuvzlcQfkirlHZeimBFkanmuCT+34rGpocR8pMHDpGGdtatbfRx03rV3O7VVjS6u5XX8b/awdnd4CTy26PQEAAAAAAOA0hJ6AQxF6Dl6NLadMl2dYRoWsPp4vL2xPlv9785h8flSgK/T0cafnh+pp67GH7pWPjfCX77180Oz71OBTOz6DU8uluKbJfaTAwKUBpv4uVtY3S35Vo2SW10t6Wb1kWKXndd9temm9pFmVVd4gZXXNZjR1f+C5v9NbEXgCAAAAAADAiQg9AYci9By8tHMsubhWdp4sltcOZMp/3zspv55zRD6noaeOt9Xg85leDD3dpd2e/2s9pwaf2vH50Lo4WXE0z4Q+wEBmB54Vdc0m6IzMqZKQtHIJTCkzO271vP4BgF4OSC6T0PQKSSquk7qmcz/6ub1xtnYx1hYAAAAAAABORegJOBSh5+BV39QqcQU1suFEobzslyZ3r4qRX8w87Ao9dfysBp99EHpqafD58RH+8uVxQXLlG0fllX3pEpVb7T5SYODRUbZV9S2SX9koCYW1EpJWIZuji2TZkTxZcjhX3gnPNee1FoflyqKwHFl5LF/8k8okrbTOjLk9Vwg8AQAAAAAAMJARegIOReg5eGnoeVJDz6gzQ8/Pvtj3oadnXTztkDy9OUH2JpRKSe0HI2772RpDoNu0w1P36cbl15h9uquPF8jrQVkyYXeqPLc1yfr5T5RhWxLN+WetGmpdfmpTgjz/frLMDMiQdZEFcjCt3Pz+6ohqHXmr3Z8ahPZ2FtrR/k4tHXkLAAAAAAAAOBmhJ+BQhJ6Dl463TSyqlffjimVmYIY8sDZOLpsd7go9+3C8rbe6Zv5x0+12LLtK8iobpaaxpd/sMQR6SsPJ5OI62RRVJC/tSZOH1p2Um9+JkmsXRsgf5h2T371+1Ix61vO/n3fUXL789SPyxzeOyY1LTsj9a+LMDt65wVmyPbZYYvKqpbCqUWqt3xN97N76Telohyf7OwEAAAAAADBQEHoCDkXoOXg1NreaPYK6K1BHZ2p3mQYtul/zdOg5rO9Dz0887y/XLYqUl/ammXGfETlVUlDVeE7HeQK+VFbbbHZ1TtmXLjcsjpSLpx6Sr08Ili+NPSCfH33A/OGBjpnW8/r7qJe1vmBd/sq4IPnOpBDTlf3PpVEyyfo9eT+2WGLza6SwulFqm1pMJ2lv8TbalnG2AAAAAAAAGEgIPQGHIvQcvHSnoIaJkTlVsiWmSCbuSZO/vBUh/29skGu87Tnq9PzUyADT4abjPXWXYWBKmWSU1UtjS6v7yAHn0Z/fyvoWyS5vkCNZlfLO4Vz5z5o4uWTaIfnk8/4yZJj1O2ePldbfPS093/ay3sb6vfyfFwLkR9MPyd0rY2RWYIZsjyuW6LxqKalp6tXQU3kGnwSeAAAAAAAAGGgIPQGHIvQcvHRcrHaFafCp3ZQaMN6xIlq+MSHYFaw8ubfvOz2t59MOt1/NCZcH152UmYGZJszR68btSnUfOeAs2qWsOzx1DO222GJ57UCWPLY+Xn4/96h8eVyQ648L7GBTS3/3tNq7rPXsPtP1+Zs5R+Ted2Pl5b1psi2mSNJL69zP2nM6sra9UFOvY38nAAAAAAAABiJCT8ChCD2hdNzm7vgSeXJjglz4SqgJVIYM3ftBp+ezbcJJX5c+jwasT/uZ0PPSWeEmyJm8L03uXBFz+nZXzz9udiACTqAdlzqVubaxVdJK6mVbTLGM3Zki/3j7hPUzfli+OTHYdGya3zft9NTfAf1d6Kj0NlrW76Te92vjg+Wnr4bJze+cMLt59Q8YekrDTA017W5Owk0AAAAAAAAMJoSegEMResIWmVslk/3S5Mo3jspXxweZ3ZofHe4RSvZm8KmP7x7dqTsMfzkrXO57N1auWXDc6+0JPuEEGnjqGOnyumY5kVstC0Nz5NZl0fL9yQfl0y8EyEes36+P6M+0/m5p8NmV3zEvt/3Mi65Rt09vTpB9iaVS39z9UdAacNphp10agAIAAAAAAACDBaEn4FCEnrBlldfLusgCGbY5Uf6yMEIumBIqnx4Z4Or4fHyPa7ymjr21u9G6GtJ0pfTxdGSn9fifH31ALn/tiDy6Pl5uWBTp/fbuIvxEf9bSekrqm1qlsKpRwtIr5FX/DPnT/OOmm9n8Xtnd1Gfz+2SHnvb99DGG+cnXJgSb8dQrj+ZJemm9CVvPlueuzrZF8AkAAAAAAIDBgtATcChCT9gq65vNzsHN0UVmP+ANiyPlS2ODZMiju2XIAztkyH93yZAn9pwOJ88qqOmsNEh17yz8wugDZozt6B3JpivO6+3bFOEn+iMNHqsaWiSzrF4Ck8vMz6nu8fzk8/7Wz7v7d8n8Hlk/x2fze2TfXu+rjzF0r3x+dKD8eWGETN2fLv7Wc6WW1JkO066Gnx0FnlqMuAUAAAAAAMBgQegJOBShJ2zNrafM7sHs8gbxSyyV4duS5JJph1xh5MM7Zchju3uv01P3GboD1S+PC5KblpyQWYGZ4p9UKk9vSpQr5x3zfj+PIvhEf9PQ3ColNU2SUFgrO+KKZdSOZPnNnCPy8REaerpCfvN75OXnuUtld3papfs9f/vaERm2JVGWH8mTkLRyySirl7qmzkfdeu7vbFt6HYEnAAAAAAAABhNCT8ChCD3RVkurSHJxnSwOy5XblkfLha+EypfHBpkwUkdo/j/r/GdfDDQ7P3Unodcw5mxLQ0/tfBvqJ9+YGCx3rYyRpeG5Zg9iUXWjCW4m7k71ft82RfiJ/qK2sUWyy+slPLNS3j2WL0M3JcjPZhx27fG0u6Z7GnrqY1ilv4/62PeviZPZBzJle1yxxBfWSLV1DO3xtr/Tswb7SFvtkW09dcp0y+pnUI31WlY3uEvPuy9rN6+e112qensAAAAAAAA4G6En4FCEnvCmrLZZwjIqZElYrozekSKPrI+Xu1fFyE1vn5DfzzsqP3glVL445oB8VENP0/HZjeDGHtGp99UOUg2BrNPvTAqR/753UrbFFEleZcPp8Zx2lKChptfHcxehJ/qLivpmOVlQY7o85xzIlHvfjZWLpx5y/axqp6d2afakW9ru9Hxqr+ke1c5s/UOFiXtSZW1kgUTmVpmx1d50Ns5Wrx/sNL9stD5/dExwdkWD+WOQhKJaSbQqqdhVejm+sNZcV1DVaG4PAAAAAAAAZyP0BByK0BPe6D/ca2CTVV4vUbnVsj+pVFYdy5fp/hnyxMYEszvwgimh8pkXA87s9rSDTM9gpr3S29ljcnVk7tC95rF+NP2QPP9+khxMK5fG5vZHc7YXfhJ6or/Q0bba5bniaJ6M2Zkif3/7hJw/OdT1O6Mdmhr29yT01N+dodZjWKWdnhdNPSQ3v3PCjNHV5zyWXWl+j9si8Oxc6ymR+qZW8wcguh/1iPU+7rM+B3fHl8iehBIzAlxrl3V5x8kSc512ppfVeQ+ZAQAAAAAA4ByEnoBDEXqiK3R8Y5y7Y21ucJY8sTFe/rTguOn4/H9jD8inRga4RnZqiGmCzDbhjLdyd4jq/bRLTXcSfuulYLl24XGZGZAhsfk17mdvX9vgs73AkyAU50JRTaMJ7986lCPPbU2U6xZFyPdePujqkNaw0oeh5yefDzCdnv9cGmUC1lXH8uR4tvdOz47G2rK/07WLVcNO3Ymqf/Thn1QmayMKZKH1Purn37yQbJkf6iq9/FpQliwIzZHN0UUm+NTOUHvMrZ7oeabeAgAAAAAAOAehJ+BQhJ7oKu1g0iByT0KpLA7LkdE7U8zI28tfOyJfHRfk2sv5+B7XmFo70NGvaRenXfo1u9y30a63r1j3//nMw/KPd07Ii9uTTXiQU9HgfubO2eGnN57BKOEn+lJxTZOEpuuY6BwZsS1Jrl8UKd99+aDrDwR80enpMd5WOz1/8mqYGaH7qn+6bIkpsn5fq83OSW/aBp+DfX+np9LaJhNebosplkWHcmSKX7oMt94/HfP9wNo4eXDtSTOCW0sv6x7VR96Ll1E7UuSNkGzZYn1+adito411RLf+0Uhji2vfJ9knAAAAAABA/0foCTgUoSe6SkfeltQ2SVppnUTmVJnRjrrzU/+x3+wp1BDngR0y5KGdrvBTL2tpKKMBp57XPYZa5rzrNnZY8+/VsfLagSzZdbLEhAXt7SI8G56Bp2cRfqIvaHh2NLtS3j2eL+N3p8rN70SZ8bbm59Ds9PRB6On+vfqk9Xv0q9nhMnRTgiwNz5Xg1HLJKK2XuqaWdrs37TG3jLP9QEurmHG2608Umj/AuH15tOlq/+1rR+QXMw+bz6qfzjhs/khDSy//2Cq97vdzj8rfFkfKf9bEydidKbLiSJ4cSq8wY8L180yDTzo+AQAAAAAA+j9CT8ChCD1xNvQf7JtaTp0e/3gip1peD8qSaxZEmBG1Qx7ZJUMe3e0Kc+xRt55lOj/d1z27z9znmxOD5YbFkTIjIMN0xeVXNkpdU6s061K9Hrp6/nHvYZFVBJ/obbpPU8dCb48rltkHMk0Xpo6gNTs9fRV6uv+Q4NMvBMgf3zhmwlUdQ61/OKCdpuMnTOww2GSc7Qc08NQ9rCGp5TLZL03+sjBCvvtyiPzv6EDz+uoI4Y9Zn1la+scaWubycNd5HdH9hTEHTDevvhfPbEmUlUfzzD5QDT6147PFB59rAAAAAAAA6F2EnoBDEXqiJzQg2HmyRJ7bmiRXvH7U7Cv85sQQ+fZLIfItq74+IVi+Ol4ryIyw1dNvWF/TUEC7Q381J1xuXBJpOqq2xhRJdnmD+CoTCEwu8x4UtSnCT/SW2sYWybJ+psMzXd2eT29OlEtnhZuAzNUF7bvQ83OjAuW6tyJkzoFMCc+oNH888Mf/u+qMEbYEnN7pH3FoV25KcZ3pkNUdrPevjjMBtXmvdAyxvl/urlpT3i5rV7t1W93Z+p1JIeaPOVz7VfNNx2duZQOhJwAAAAAAgAMQegIOReiJnqhvbpXEwlp5P7bYhC0vbE+Wh987KXesiJEbl5yQaxYcNx1Pf5h31NRVbx6X6xZFym3Lo+WxDfEycU+qvBWaIztPFkt8QU27+wd7or0Rt22L8BO+pt3K2rWcV9koB9Mr5JV96eb34dMjAz4Iyc429NTbm9LOaQ09XWOivzjmgNyyNEqWHcmTNdv2yFVXXX1G4Enw6Z2+R/rHGzqye11kgby8N03uXx1rxtnqH2qY19mM6NbyCD/tr3lets8/s0/+d1Sg/HD6ITPuVjs+l1vvi+5EZrwtAAAAAABA/0foCTgUoSd6QruWaptcXVIZZfVyJKtSNkcXydzgLJmwO1We3Zokj2+Il0fWnzQhp3a6jd6ZIrMCM03AEJZRYe5XZt1fw6He7ILqSvip43AJP9EbtItZA8mb3zkhX9YwzR73rD97dpDZ5ufRa9mBp5Y+hnYhWufPmxQiD6yNk1eWbfEadtrF/k4XDR/140Y/d9JL62VbTLHpONeRttrhqYGnCaf1NdfXWct+3dur07fbb3asfn50oBmPq0H36B3JEpRabsaDAwAAAAAAoH8j9AQcitATvqRdU6kldbI/qUzWRhTIokM5Zuen7jN8LShTFoRmy8pj+WYkbkx+73R2dqQrwSehJ3pDbVOL7I4vkaGbEuSy2eEmVPvUyAAzCvWMUM3Lz6QpOxi1wzXrazp69TMvBso3JgbLFXOPyh/vHeY16LSLwPMDGnhqAFlR12w6MN8+nCt3rogxIeXHdaStCTLdr7d9vu170rba3t56nz46wjXq9r53Y2VjVKH5AxEAAAAAAAD0b4SegEMResLXKhtaJKm41nR9HkgpE7/EUhP27E0okYDkMtPdGVdQI0XV5+4f/zsKP3UXKNAT3nr5tIs5Oq/ahGtPbUqQaxccN2GYCcce2+0q3Q2pnZta2gVql/01LR2xqqNUn91nRtr+5NUwuentE3LF3U97DTrtYqztmfT9qG9qNZ9Dx7KqzB9nXL8o0nRnnh5VawfR3Qk99b5mBK6feUwd6z0vOEtO5FZLRX2z+QMRDV4BAAAAAADQ/xB6Ag5F6Alf0+6p8rpmKahulJyKBsksrzcjbDOtyrYu51c1mm4nHSt5rrUNP9vr8qT7Ez2lAVdxTZMJvTZFFcmYnSmmO/Mj+rP34E6rdsiQR93Bp70j0g449bL9dfvUut/3Jx80+3EvvPR3XoNOrauvvprA04tm63OqqqHFjB0OSS2X6fsz5Jr5x+UzLwa4XmMtE3q6w0yPz4kOy769HXpa75WOyf3d60flxR3JsiWmyITfhdbno+5EBgAAAAAAQP9D6Ak4FKEnfE2bl3RfXqfluvk5p4Gm7vLUwMIbOxgl+ERP6M+8Bp/aXZhRWi/vRRaakadfGx8sQ57Y4+r01JDTDs08SwM0O4CzfhZ1/OpXxwfJz4ct8hp02qWBJ7xrbG6VkpomSSyslT3xJTJxd6pcOe+YGTl8OljW19wOM8+2tNtT30/rcT4+wl9+OuOwPLTupMw/mG2635OKak3oCgAAAAAAgP6H0BNwKEJP+EJPA8z+EIB6G2trB56eRfiJntIu56NZVTIzIFP+8U6U/GzGYblgSqip8yeHyncmHZRvvRQi35wY7K4QOc+6rNfrONvLXz8iNy05Ief99Ldew04t9nd2TN+D7PJ6Cc+okNXH8+XZLYnyq9nhJqA0IbTd6dnm97/LZYee1uNoN+9FUw/J7SuiZfK+dFl/otB0/GpHPAAAAAAAAPofQk/AoQg9gfZ5DTPcRfiJ7tKOz7zKRjmYViHLj+TJtP3pMnxbkjy49qQZV/u3xZFy7cII04Gspef/tuSE3LkyRp7YmCCT9qbJkrAc2XmyWH7z+z8SeHaDdlmeLKiRHXHFMudApvxnTZwJlE3oaXd6anDp5Xe/S6Vdue5Oz48M32/CbN29OmpHsiyz3vPwzEoz5hsAAAAAAAD9D6En4FCEnoB32vnpNczwKA2kCD9xtnTUre6+rW1sMXs+k4prJcD6edMAdLp/hozemWI6D5/alGDqua2JMnZXqswKzJS1EQUSllEhWeX1UlXfLH77A84IPNnf2TXaZXksu1JWHcuXcbtS5JalUaYb04SeZpeqjhruYej5tOtxPjrc3+xfvWFxpIzYliSLw3LkUHqFGa8LAAAAAACA/ofQE3AoQk+gfd7G23orgk/0VEF1o+n+2xpTJCuO5snCUOuzOSRL3rDqrUM5MmbRJrnnqRckIqdKymrPHIuqnZ3s7zw7Gnrq6700PFde2J5sujAvfCX0g9BTA0sfhZ4fG+5vRhP//XSnZ6713BV0egIAAAAAAPRThJ6AQxF6Ap0j/ERva2xplazyBonKqzadnAdSysQ/qVT8k0tl7prtpzs5R4weLy06Hxc9Ynd6rjyWL2N3pcjNS6PkB6+Eysc09NTRtj3u9PTY6Tl8v1wy9ZDctTJGpvuny+boQom23ueKenZ6AgAAAAAA9EeEnoBDEXoCXdeV8JPgE93RcuqU1DS2mO6/wupGyatskNyKBhkxatwZ42u1Jk5kZ2dPVdY3m+BxU3SR2al616oY+eG0MFfo6ZOdntZ99TGe2CMfHb5ffj7jsDyxId50loaklkt6aZ15vwEAAAAAAND/EHoCDkXoCZwdDTV1l6fXoMMqDG52D6aedlad0ZG1bQNPu9jd2TMaOCYX18n+pDIzPvjR9fFy6axw+eTzAe5OTx+Fnk/ulU887y+Xv3ZERu9Ike2xxXKyoMbscm1obnUfDQAAAAAAAPoTQk/AoQg9ge7x1vVJl+fgpSGmjp2tb2o1Y0tLapqkqLrRlAZcWnpeuzj1vHYaNrUzplYDzY4CT72O0LNnmq3XvqS2SeILa2XnyRIZvztVrnzjmPzPC+7Qs7udnrrLU+sZO/TcI58aGSBXvXlMXvXPkMMZFVJY1Wh+ThhTDAAAAAAA0D8RegIORegJ9Ixn+OmNfT2B6MCm+VV9c6sJNFNK6sxuzmPZVXLcqsgcq3KrzOWjWZUSYV1ObWe8qYaZ3oJOuzTwhO9ot2VSUa0sDsuVv799Qr4w2nr9tcuzO6GnHXjq/ezQ06rPvhgoNyyOtJ4jR1Ktnw3CTgAAAAAAgP6N0BNwKEJPwDcCk8vc5z7QthtUx+ISfg4sGl81tpySqoYWya9qlLiCGjmQUi5bY4rkvROFst4q3RuppZfXRhTIxqhCCU4tl6zyeteDuL300kteg0679Hr4nobP2+OK5cG1cfLdlw+aHZwmtPQMMj1+j9stO/A0ZZ13P8a3XwqRe9+NMe97WV2z+1kBAAAAAADQXxF6Ag5F6An0ng+FIu4i+Bw46ppaJa+yUWLyaiQopdwEWwtDc2Saf4a8tDdNJlk1ZV+6Kb08YXeqTLbO6x7JPQmlEl9YY0bejh43wWvQaReB59k5dco1blgDaX2PNNj0LM99mno5KLXc+r1MleveipCLpobKF8cckI+P8Jchw/bJkKf9XAGmZ6B5ujy+rrcxt9svn3ze3zzG+ZMPytXzj8mYnSnm54M9ngAAAAAAAP0foSfgUISeQO9o2+XprQg/nU/H2YZlVMjyI3nysl+aPL05Uf69Ok7+tSxabnr7hBmZevM7UfLPpVHm/I1LXJfvXxMnI99PljkHMuXHv/6916BTi/2d3aOhpwaMZbXNkl3RYEYOJxXXSrJVej69tF5yKxukoKpRMsrq5UhWpWyOLpKZgZnyyHsn5ddzjsinRwbIkMf3yJBHdsmQJ6zToX6u0hDULvO1va5T9zhbDUq/MOaAXDrrsNyxIlrG70o1Hb+JRbWMtgUAAAAAAHAAQk/AoQg9gd7TleBTi/DTmZpaTpl9kCuP5svjG+LN+OKfzQiTC18JNWNSv/VSiKnzJoXIdyYdNGNOvznRdfkH1m1+MfOw/Mm6zy9ufdJr4HkV+zu7paVVpL6pVUpqmiS5uE4OZ1bK/qQy2ZtQKn6Jpea8f7KrAqwKTCmTo1lVZjRxRHaVrLLez7tXxsiXxga5As8Hd8qQR3d/EGraIacddD7p/rpd1u/09ycflDtWxMjcoCzxt54vqahOyuuapVXTWAAAAAAAAPRrhJ6AQxF6Ar1LA00Nw9oGnW2L4NMZNLPSsLO2sVWyyxtkf2KZjN+dKle9eUy+Mj5IPjbCej/tcac6GlXLHnvqefnZ/WZ35OdHB8qPXw2Tr//oN2cEni+MGW+eB2envrlVSmubTffmidxq2ZdYKmsiCsw44TcPZsuC0Gxz3r6steRwruyOL5H4wlrJKrPe06QyGb41SS6eesj1XmmQaZ3quFutj3mUvocfsUq//qmRAfK5UYEm3NafB/250MfSblJ9L/Vnh3cUAAAAAACg/yP0BByK0BPoG13t+gxMLnPfA/2NBla1Ta2SU9FgOgK3xhTJq/4ZcvvyaNO5aQJP7QK0O/60A7C9sm/zzD75f2MPyO9eP3I68LznqRckpbiO0PMs6eRY3Y963P3eLDqUI6/sS5cR25LksQ3x8t/3Tsoj6+NNV65efti6/PC6k/LUpgRzu9XH82XnyRJZc7xAJu5ONSOKfz/3qPxyVrj8fOZh+dmMw/LD6WHmvb5gSqicb5WeXjT1kPzUuu5y6z38y1sRcs+qGLPDc8OJQtMJzPsIAAAAAADgLISegEMRegJ9q7PwE/2PHVlpeFVU7drhuSQsV57Zkig3LTkhP50RZoJL8x567nv0Vt/+havsy8/sk/95IcB0B/7wqYXyp9HvyIyADDmUXiGNza3uZ/4A8Vn7GptPmRG1q47ly/BtSSaMvnZBhFyhweVsV3B56axwucw6r5d1vLB+Tfd36u3uXBEjT2yIN7tWJ+1NM4H2dKs0AH3Weq81IL17VYzcsjRKblwSaeof75yQ21dEy0PWdS9sT5bXg7JM2BmcWm52iFbUNZsOTwAAAAAAADgHoSfgUISewLnhLfxkxG3/pKGVNuvpSNu00nrZHF1kAk/tzvzmxGD57IuB8onn/V3voxlte+b7aur22TLkvF98MMJWz7tvq2NSP2nd/4tjDsiPp4eZjkTtVKysb3YfATrT0nrKjJH1Syg1XZb/9+Yxszv1C6MD5TPW+6OjZ/U9+uTzAea8fVlLQ+f/HRUoXx0fJBdPDZXrF0Wax3gvssDs/NRdoDoid/7BbBNIT9idagLOke8nmdtN2ZduxuTqz0VkTpXZJdqsbacWRtoCAAAAAAA4D6En4FCEnsC50zb49EZvQxh6brWeOmW6PMvrmiUuv0beCc+VO1fGmFBtyHP7Tndsnt7l2Tb01MDTDjs963f3f3C/Ya7H+NLYA6aDUEezppbUuY8A7alvapXimiZJKqqTwORymRucZTo8vz/5oNm3acYN2yOH244W9ryst7HeAw1AtXNXg+fF1nuggWdIarkEpZSb/aA7ThbLusgCWWr9DOjPwcqjebIhqlD8rOui8qrNzwgAAAAAAACcjdATcChCT+Dcay/YbBuKEn6eG9pFWNfUenpf5Jsh2fL3t0+YgNKEZRqcDfMIPD1Dzyvu9x542nXbLFfw6Q7mtANRx7FO3JNqugyzyxukurFFmtydg/hAY4uru/NIZqXZx6m/H/esijXja78wxnpv9HW1A86Oyg5F9dR6z74xMVj++MYxeeS9kzJ9f7qsP1Eo4dZzpJXWSWZZvZwsqJEjWZVmzLGeRuVWS2JRrTkW3icAAAAAAADnI/QEHIrQE+i/TgdnbYrws2/pqNKqhhbJKquXg2nlMisw04xA/cLoA66wTENPDdjavledBZ7aAaq305B0qJ95LB11+7MZh+XxDfGy7EiehKZXSIb1vBp8wkVHxmq2WG29J4mFtbIuosDs3PzT/ONy8dRD8uVxQSY8NiG0vi9nU9b78ZkXAuRr44PkJ6+GyU1vn5Bp+9NNwKnBt9IQXHd1ltQ2SalV2t2pPx/1za2mKxgAAAAAAADORugJOBShJ9A/te3ybFsEn32nsaXV7GnUDr9dJ0vMa3/1m8fNLs/TI1LdgZmptvs725ZeZweeWnboqY9jXb7wlVC5Y0WMvBqQYXZ7RudVSxljU0/TYFG7PPU9OZZVJa8FZclNS06YDk0NjU3YaV5X69TuvrVf6/ZKb6PvoZ6a2iefGukvP5x2SJ7enCD+yWVmxDEAAAAAAAAGPkJPwKEIPYH+qbPQ0y7Cz96neyN1rKl2ea44mifPbEmU3752RD6t3YRtQ8/29nfapYFnm/fwjNDTOv/dlw/KjUtOyOidKeb5dLSq7q2Ei3beatdlXmWj2bc52S9Nrpx3zPV+2GNqTYDZxcBTyx10mtJRxfo4w/zk6xOC5a6VMbImokCyyhtMhykAAAAAAAAGNkJPwKEIPYH+jfDz3KtpbDFdnttiimRmQIbcvzpWfj7j8Achm5aGbJ2Ns9Xrvbx3JnB72jXeVi+fNylE/vJWhDy7NVHeOpQjIWnlZp8oXLTjsrK+2ezY9EsolbE7U0wIbbo8n9zjeh3twLOroaeWfXt9L/Uxhu41I4z1vZjmn2F2rKaW1JlRtgAAAAAAABi4CD0BhyL0BJyhK+Hn1fOPS2Bymfse8BUNuSJzquTd4/kybleK/GtZlPxo+iFX6Kkdmlq3zfIedNrVXuCpZYee+jjW5e9MCpE/L4yQYVsSZUFotgSllktBFaGnTXdnFlU3Smx+jWyJLpIR25Lkl7PC5SPDrdfxCTv09Hh9z7Y8Qs/PvBhoAtVhmxNl6ZE8CbbeC92xqt2/AAAAAAAAGJgIPQGHIvQEnKMrwSd8zw49Vx3Ll7G7UuSWZVFm1+OnPENP7Sz01unZdn+nt7JDT3en5/dePih/WxIpo3Yky7IjuRKWUcF4Ww/aeZte6ho3vDQ8Vx5576T8aHqY63X0Zehp1SefD5CfzTgs/1kTJ7MPZMr2uGKJL6wxxwAAAAAAAICBidATcChCT8B52gs/GXHbO6obWiQ6r1rWnyg0+yPvXBkjP54eZgIxOxwzQZm+Dxpyegaebd4jr6UBnQan7p2eF74SKneuiDGjdN+PLZLY/Gopr2t2Hw3KrNciKrdaNkcXyvT96XL78mi5cEqo63XU19CE0B6v79mWvpe6F9SEnv7yQ+u9vn1FtLy0N1XWRRaY59afCQAAAAAAAAxMhJ6AQxF6As7VNvz0Rm9DGNoztY0tklhUK7viS2RucJY8tO6kfOOvj8gn7prz4dBTS8POjsbZti0N6PQxtEvROq+B6mPr42XFkTwJS6+QrLJ6Ogs96GjbUOt1eftwrox8P0luWBxpumPNa6mvo3bN9iT01K5ddwevdvNeMu2Q3LI0SsbsTJFVx/IkIqeKvZ4AAAAAAAADGKEn4FCEnoCzaaCpuzy9BZueoSjBZ/fpDsns8gY5lFFh9nr+/u6nP+jmdHcEnhF6nm1pQKeP8+Qe+ehwf/nV7HB5YXuy7IwrlqSiWimrbZIG6xjgUljdaPac6r5T3Xuq+091D6p5LTWs9HHoqaNzb1seLRP3pMqaiHw5kUvoCQAAAAAAMJARegIORegJDFzeAh3Cz7PX3HpKKuubJbOsXn75uys/CDy1vv3z7oeeGsxp6X3dnZ4fH+Evv597VKbuS5fwzEoTeDa3nJLWU6fcRwPt9NR9novDcmT4tiT561saeh50vZa+6PS03w+rNPT8+czD8sDaOJlzIFN2xBVLQmEtnbcAAAAAAAADGKEn4FCEnsDA5Nnl6a0IPz+svVhRvx4YGChXXX31mYGnXb/9t6s70Mvr3G6ZwNO6jwZsWtrpadVnXwyQv7wVYboYU0vqXAeAM5TUNsnRrEpZfTxfJuxOlX+8EyXfn+wOPX2101Mfx6pPjwyQy18/IsO3JpnnO5xRIdnl9ab7FwAAAAAAAAMToSfgUISewMDUWeip1d5YXJxJA0+vYae7PnLF/fKR4dZrageZXQncPG6r99XSrkIN7+59N1beiyyQ0tom9xHAU0V9s8QV1MiOk8Wm+1Jfr4unHnK9rj4OPT/7YqBcY/2eTPFLl32JpafHDTe10HkLAAAAAAAwUBF6Ag5F6AkMXF0JPrUGUvDZ0nrK7L/UnYsaGpbUuMs6b18udl/W2+jo2o689NJLXoNOu867/hH55sRgM5bWtZfTHboN2/dBF6dn6ddPl3U762v/80KAfOulELlsdrjcuixKpu5PN+NbG+km9Kq2qUVyKxvkWHaVrI0okKc3J8qlsw7Lx/Q90LG03Q09TRBtlb43+j5aj/WF0QfkpiUnZP7BbInMqTI/O9rlqT9nAAAAAAAAGJgIPQGHIvQEBr7BEn7q2suG5lMm3EwvrZeY/BoTVGlF5VZLVF61OX88u0pOWJfTSus63M3YWeD54sKNZuyp7uDU4HLII7tkyIM7Zciju0+HZiaAs0sv21+365l98uVxQfLHN47J0E0J8tahHAlMLpOcigb3UaCtFuuNbmxpNQGkjpvVkPhK6/X75MgehJ4m8NznKhN67rEeZ695b+5cEW3CVX1PyDoBAAAAAAAGPkJPwKEIPYHBoyvhp1M1t5wyAWZRdZMkFNZKSFqFbI8rlo1Rhaa2xBSZ0vPvnSiUzdFFEpxaLlnl9e5H+ICOs726vf2dVv3fVVfJ9j37JdF6nvWRhfLg2pPyzYkhrrDzoZ0y5DHrVIO3p9uUCT/doZxeHuYnn3zeXy6Zdsh6jDhZcTRPovOqTTcq41O7Rjs+lx3Jk38ujZKvjA9yhZbaUas/z3bnZpufca/lGXqa4NNPPjp8v1wwJVQe3xAvexNKpa6JzlsAAAAAAIDBgNATcChCT2Bw0eBTd3l6C36c2ump40YLqxslvrBWDqVXyLbYYnn7cK7MDMyUKfvSTU3zz5DpVun5SXvTTHfg4rDc03saddythqZ79wV4DTrt0jDUVt/UKhHZVeZxr1kQIV8bH2w6Pj83KlC+NOaAGY36eav+17qspV/X0y9a133Vuu15k0LkJ6+GyY1LIs0x6bHkVjRKbWOr+Z40ZNNTfR49r6VhqHa0wqXWes/2JJTIs1sT5XevHzFjgj/zYoBrx6rHCOHTAWh7pbdxh6W6W1XfIw08//JWhEzxS5OjWZXuZwQAAAAAAMBAR+gJOBShJzA4eev69EZHrfZ3ZXXNciyrStYcLzAB5IhtSfLQupNyx4oY0wGodeuyaLl1ebQ5/493ouRf1mXt0By9I0XmhWTJ+hMFpvNz1ZY9XsNOLR1321ZuZaPpApwZkCFPbIiX21dEy98WR8qf5h+XK+YelV/NCTf7JrV0Z+flrx81ofM/3j4h/1kTZ45V77suskBC0yskqahOMsvqTaWVatVJSkmdJBfXSbr1NQ1ndbwrXHS3Zmx+jaw6li8j3082r/33Xj7oCjAf2e2qJ3RUrbu79kOdt+6yxw0/6xo3/Os5R+SeVTHm92RrTJEZlwwAAAAAAIDBgdATcChCT2Bws8NPb12ensGot+v7g5ZWkbSSehMaPrMlUf76VoQJF3847ZDp1PvuywdNfX+yq/T8dyYdlO9Z53WsrIaS2s33wJo4edU/Q3bGFcvQkWO6FHgq7cIsqGqUkwU1JjRdf6JQXg/KktE7U+TJTQnywNo4uffdWLnn3RgTcj6xMUFe2J4sMwIyZfXxAtmfWCZhGZVWVciBlHLxTy4zFWBVYIrrVDtA/awKsh5fR/d2tId0sNEdm2W1TRJfUCs7T5aYn1PdsWp+bh/c4SodN2yHmqeDTvdle8eq+/RjI1zjhu9fHScLDuaY90RD58r6ZvczAgAAAAAAYKAj9AQcitATQHvswNMu7VDsD+Gn9jk2t54ygWN+ZaMJG3Vs7bULj8s3JgbLJ573dx2z59hSe1ejfVnLus3HR/jLF8YckB+/GiZ3r4yR1w5kmpDRDj6vuupqs+Ozq3TH5MG0ClkbWSALQrNlRoCO1E2TyX5p8qp1/s2D2WZ3p+4bPZpVZTo4tTT43BRdJEsO58rC0Bx561COOa8jeBdYl/V+S8PzZE9CqSQV15rv3ZO+JoOx/9NuetWxv9nlDbIxqsgElmbHqoabGmZa7/VHh/u7a78pM/7W/XOtQaf+zHz2xUD5zqQQuW5RhEzbn246b4vd+1U1XAUAAAAAAMDgQOgJOBShJwBvPLs829a5Dj5N2FnVKFG51aa777WgLNNNqR16JvC0u/jsDr726p8zZci3fy5Dfne/fGnsAbn8tSPy8LqTMvtApuyIK5anR46VRm0lPQs6bjWjrF7CMytlf1KpCTc3RxdZVSg7ThabLs6QtAoTqGk4qp2c22KKZdGhHJlova5Pb06UxzbEy+MbEuSpTQny5MYEeXR9vDxilV432S9dlh/JM8FsZE6VpJfWmWBOd1sO9nBOfy6OZ1fJ3OAsuWdVrPxh3lEzVvinMw7Lj6aHyQ9eCZXzJ4eaLl8t7fy90Pqa7lX9rfXe/3lhhPVzFGO9D6lmL6yOGG49u7cfAAAAAAAAAwChJ+BQhJ4AvPEWdratvgw/7SxPOzxLaprMDs8VR/LMHsd/LYuSX84Kl6+MC3Idm72v0fPUs/Rrl//7jPG1n7xrjpz3UogJv+5aGWNG3WowWd989qmXjkLVjk/dA5lcXCuJRa7SgDK7osHs6tTOTt1D+dKeVBNq3rI0Sq5ZcFwuf/2IGc/7qzlH5DfWsWjp5V+694FqMHfHimh5enOCOcZNUYUm/NSOVx17q8HnYM09NfAtrG40PxsaNGunrf6MDt2cKP9eHWf2uN64JFKuX+Sqm5ackNuWR8uD606akcM6ltje7aojbasaGCMMAAAAAAAwGBF6Ag5F6AmgPR11e3pWX4SfOsZUQ626plbJLGuQ7bHF8vz7yfLHN46ZkaT/OypQPnl6rK17lK057y6P49XOTs/AU+sj3/mFfGpkgOn41FG3D62Lk03RhVJxlrsc9Ti121PDR+0S1VOthuZW6/Ipc/x5lY2yL7FMJuxONSHmBVMOypfHBcnnRwfKZ14INMfx6RcCzPn/sU4/bV3Wr+n4VR3F+/UJwfKj6Yfkb4sjZdyuFBPwaderBp/a8WmPfB1sXD8jp0wwrq9DTkWD2ZW6NqLAdAO/tDfNhJvDtyXJCKt076qORZ5/MNt0dkbnVUtpbZN53/RnTR9rkL6UAAAAAAAAgxqhJ+BQhJ4AOqKBpu7yPCM09FK9HXxqCKXhYWV9iyQU1srKo/ly37uxZkyp2c84zO+D3Z3m9MPHaOq8X3wo8Dxdep113y+OOWA6AbVTMLWkzn0EPWcHnrrL8+2wXLN78qKpoWavqKsDde8HI3nt8byeY3r1eu1Stb7XT430l4ut+96+PFqm7k83wad2fBZVNxLUedCuYB15q2OQdc/q0nDdk5ojS6xafjRPNkQVmlHBcQU1Uk1nJwAAAAAAACyEnoBDEXoC6Iqudn32Fu2e1J2Nur/yRG612YGpI2HNSFsNAzUU1ODTdHlax9I29Lx9dueB5y0zTcCoe0F1zO343alm56aOpNXRsdpB2F0aqJ0sqJH3Y4tldmCm/Pe9k3LF3KPy5bHW8WtI2zbk7Kys7/P/jT1gdlZq8Dl2V4psjCr0aUg7EGhQrqOGTxbWyPGcKtP5GZpebkYX695V/VlKKq41P1c9eHsBAAAAAAAwgBB6Ag5F6AngbHQUfvZmt6cGjhoc5pS7RpbODcoyOxm/NOaAKwQ0oec+r8dlAk9vQaddV9zvCkm1i9J6rI8O329G3D6yPl6WHckzAVlGWX23OwE1rNU9nluii2TUjmS5YXGk/NR6/K9NCDaja01Qq8eu4WdXSm9rHa/eV8fiXjLNNep22v50OZZV6X5WKB1RW2u9/jqmuKy2yYSbdmkXaFlds9ndqbtbyTwBAAAAAACgCD0BhyL0BNAd3sJPb3wVhGrHnu5bTCysFb+EUnllX7rZh6m7PE3gqaWBYJtjMoGmt6DTLr1eb2eHnvo41vnzp4TKbcujZbp/hmyJKZKovGoTmp0NeyRvWW2zROZUy5sHs+WfS6PMDtLT+0fNc2uI6QoyT3+tvdLbeN7WOq/7Pi+eekie3BgvexJKpLaJMa0AAAAAAABAdxF6Ag5F6AmguzyDT2/hpn29L4LPhuZWyalokMMZFbLmeL48vy1Jfj/3qHzmxQ5Cz84CT+0AtW+rIaLu1XQ/znmTQkxH5qgdKbL8SJ7pLtV9mWdDR/LqHs+CqkY5lF4h0/dnmP2on9VjNvs53cfcndBT76eljzHMT746PsiEtNqZmlxcZ5731CkxBQAAAAAAAKDrCD0BhyL0dA6yC/RXgcll7nNnahvY9ST8rGtqkcSiWtkRVyyvBWXKQ2vj5JezwuV/XghwBX864tYz9Owo8NT9nZ6Bp5Ydepp9mfvlWxND5NoFx2XYlkRZEJotB1LKJL/q7EJP7fKsqm8xo3EDksqs7z/V7PE0XZ5P7vngmE2Q6XEsnZV9e72vPob1/WvH6zXW8U72Sxe/xFJJsl4r7YxttI7BV/gMAgAAAAAAwGBA6Ak4FKEngN7g2QXatroTftY0tkh0XrWsiyyQiXtS5fYV0fKTV8NcoaeGlTqa1jP0bG+PpwaeHsdyujREtB/Huvytl0JMiDh0c4K8EZJlgt38ygb30XSNdqfq7sj4ghrZHlssL25Pll/POSIfH6Ghpzuo1a7NtsfS1dL7ugNffR1+89oRGbopQd4Jz5Og1HJJL61n1C0AAAAAAABwlgg9AYci9OxbOmqyufWU1De1SnVDi1TUN5+uSo/zWlXW9Y3Nre57As7iNaTzqLMNPjX0jMqtljUR+TJ+d6oZ5frj6WHyadPp6SX01GobfNr7O72VHXq6Oz11vO11iyJk5PtJ8vbhXDmYVi6FZzneVo85s6xewtIrZOXRPHlyY4L8bMZh1/M94e707EnoaXd6WvWJ5/3lp9Zj/3t1rMwMzJT3Y4vlZEGNOQZP9p5RHX+rnzGenz+nP4PqXKd6X70tAAAAAAAAMJgQegIORejZt3THnwYJuuMvpaTOhBKxVulpfGGtOY3Jt75mlV6v4ykBJ+qo09Ozuhp+1lq/N/p7sTGqUKbsS5e7V8WYkO9TIwNcwd8/Z3449NSyx9x2FHhqaeipwal2YD67T74/+aDcuixapu1Pl83RhSZwPdvfRw0PY/OrZVtskcwMzDDHfNHUQ67n0+fR59PnbXssXS3T6ekKarV79JJph8wxT9iTKmsjCuSEdczVbUJP/aMLDTtzKxskqbhW4qzPHC37M0jP62eQnmqnqN4WAAAAAAAAGEwIPQGHIvTsG9rhafb7adhQ0SBRedUSmFImO06WyPtxxeZ0V3yJOd0WW2wqILnM7DDUEZmAU/kq/NTOxOTiWtmTUCLzQrLlv++dlMtmu3d6fvvnrmDzd+0Em233d3orE3rudXVgPrtPLp56SB5ed1LecXd5ppfWme7ss1FS0ySHMypk2ZFcGbUjWW5acsKEqR8dbj2XBrXaWeqL0NMq7fTUQPUf75wwz7XiaJ5E5FSdccwt1keJBrHafXo8u0r2J5XJduvzR2un+zNIz2+NLTKnIdb3rftI6fUEAAAAAADAYELoCTgUoWfv0+5ODR407NRuqoNpFbI5ukgWh+XKnKAsmRWYaU7nBmeZ0xkBmWY85aKwHBNCJBTWmrGTGprqY2mnVuupUyZIJYyAU3Ql/Lx6/nH3rT9Mw/9s63coLKNCVkcUyMj3k+XnwxbJx7576ZkjbLsScHoru9NTQ0/r8s9nHpbhW5NkW0yR2cmpAebZ/gFCUU2jCUzfOpQjz21NNONyv/uyO/TU5/Jh6PnJ5wNMp+cty6Jk3K4UWX08X07kVp3u1NRjz61oNHtRdT/pe5GFsjA0R2YfyJRZVr3m/gzSyzMCMszp0vA888cXGvhqh7p+9thlfwYBAAAAAAAAAw2hJ+BQhJ69r7HllGSU1pvwYFl4nkz3z5Dn30+WR9bHy33vxso9q2LlvtWxcv+aOHOqIzDvtr6mnWxjd6XIgtBs2RJTJKHp5SYALapuPL1rr5XQAQ7SWfDZUbenBm0a/mvnoXYgXvfAc2eGnZ51NsGnho6m3Psxn9hjQsnfvHbEHE9oeoUUVzdZv8etJug7G8U1TXLIuv+Sw7nW73yS3LA40oSe5nl90enZZqen7gu93/oMmRWYITviik1nrO4PNp9B1uvml1gqiw7lyGS/dHlua5LpZL3X/Rmku0D1M0gv37Uyxpw+viFBJu1NMztN9fHCMysltaTOBMDaeavvCcEnAAAAAAAABhpCT8ChCD17X2V9iwlO5hzIlP+siZM/L4wwgYoGFNqZpSMp9fRH08NOX9bRmrqv8Hdzj5qg5IG1cfLy3jTZcKJQTuRUmZ2gpvOqhcQBztNe+NkR+yddg7bho8Z5Dzvt6mx/p2dp2KnhoZaOt31qr3z6hQDTdaqdj0lFtd0O9nQH6LHsKlkTUSAT96TKP5dGyflTQl3P64udnnrM+jhWaaenfq48uyVR3j2WbwJK/ZzQDs/S2mYzTvuVfely58oY8739ak64+YzRzxqtH7b9DLJOfzHzsFw575gZmfvo+niZGeAKU7XzVQNdDT61+xwAAAAAAAAYSAg9AYci9OwdGpJoFlDbqHsI62TN8QLTufmzGWHypbEH5FMjA+TjI/zlIzrm8rn95vSjw/1dYy/dgYZe/2nrdl8cc0B+8Eqo3LgkUl7ak2rGbeqIyvyqRhM6AE7lGX566/K0r/e87uqrr/YedNqlXZ4aZHY1TDS3tcp9WTsmz5sUIrcvjzbhoXZWd5d2pupIa92XqeNjtZvyh9PCzO+6r0NP3W169ZvHzR9H7IkvMc9baH1GaJdqbH6N6dbUDk79LPn86ED5pPV9ms8g92PpZ48el+dnkr4W+rhfHhckP3k1TO5cEW26SP0SSiWh0BV8NrJzGAAAAAAAAAMMoSfgUISevqedT9rdmV3eYLq8NkUVybhdqXLNguMmPPAcSWkHFqa8XdZ62s8EDxo63L0yRqbtT7ces1BO5FZLeV2z+1kBZ9JAU3dMeuMZ8D0wY02Hgecnv/9L+fidc1xBov7+6Okw63fN7uL0Vnr9MOt21vlPjgyQr453hXt/WxJp9mLuTyo1+3i7q7bJtctXPwfWRRbIM1sS5bLZ4SZMNL/bPQk99X76Pbg/Kz43KlBuWBQpc4OyzEhdHYUdl18jIanl5o8udD/p714/Ym5nvmf786XtZ07by1rW83xhzAH5zZxwMxL39aBM2RlXbJ6jtrH7rw8AAAAAAADQHxF6Ag5F6Olb2uGp3ZfppfWyL7FU5gVnydObE+X6RZGmw0rHZprAQcdoauBhyvO8l+ue9jNdV18bHyS/nBUuty6LkvG7UuT92CLJq2xwPzMwsHh2gZruTS9Bp11X3PW0GcP6mRcDZcgju2XIQztlyKPWqR3cef5+2UGeXU/uMb9j2v2oI191lLSOcX0/tlgSi2rNPszuarE+EHS8bFF1kxzOqDT7fP/vzWOuzwFzXFadbeiptzflDm3dj6Md4f+yPhuWHcmTmLwaE3jqKNpXrefU0bR/mn/c7BP92Ah/1y7Rtp8znq9R2+us22tQ++2XQkxwqvs+p+9PN3uK+cMLAAAAAAAADDSEnoBDEXr6jgaeum+wrLbZdHbNP5gt96yKkV/OOizfnBhsOqxM4GDvELRHcHZUejurNPTUkbj2qFvdsTcvJMuEMsBAo52fp0M+3c/pJei066nnx8r6E4Xy0LqT8q2JITLksd0y5MEdrtDTDu805LNLL5ug0H3e+pqOdv3+5INy54oYWXAwR8IyKk2ntnZ5+mpnpf6BwsqjeSaY1D9gOB1aegaZ9vfcUZnb2p8frsfQz4fvTAqRB9fGyeboIkkprpNjWVXmjy5uWRplule/NiFYPvtioGuEtvtz5fTztlv27faZzy7tOP+Ke9Ttfe/Gyqpj+ZJf2f3xvwAAAAAAAEB/ROgJOBShp+9oOFLf1Cp5lY2mA2r87lS5Yu5R00H2QXiw/3SI4DXQaFunb+8+tUq7xDRIHb0jRQ5lVEhTDzrRgP7qdKfneb/wGnZqXfrsYhm3M9WMep4RkHl6hLTuq9SA7vOjD8j/jgo0f3CggZ+WdoNq/a913f8bG2T+IOGSaYfkukURMnFPqvgnlZldlfpHDL5U39xqur+fc4+Z1ef9jHWMJoQ0Y3Zdv98fBI7tlft21mujI3n1DyE0sL3qzWMydqeO5C2TtJJ6CU4tN5cvtT4rTGep+/PDPIZ96vlZ0161/eyySj/T9Pm0IzauoMb9HQIAAAAAAAADA6En4FCEnr6j4WNVQ4sZbbvzZIkJN376apgrONAxm9pVpgGCKY9QoaOyQw4tew/fM/vk/MkHzW69DScKJa20TmoaW0yXqa+DGuBcajf41Ms68tb9e/L8tmTZm1Aq0/ZnyH/fOyn/XBolf30rwoyS/e1rR8xY6J/PPCw/m3HYnOpezd/POyrXLYqUu1bGyLDNiTLDPdI2ubhOGpt9/4vUav1yakC44mieDN+WJDcsjjRhpfkd165Uexxv285Uu+zOVO1e1c8B6zPhS2MPmO/ljhUxMmpHium81A5P7QDXz6ChmxLkgimh1meGdT/3GN8efQbp/a3n1s5SfR1HWN+Hvu45FQ3mDz70Dz/4CAIAAAAAAIDTEXoCDkXo6TvayVVa0yTxBTWyMapQntyYYDrITFjwxB536OkOEbyFC+2VfR97f98wP/nGxGC5+Z0omX0g03SmJRXXSllds89GcQL9yQMz1pwZeHr7PbHqyQ0JZjTu2ogC87vx4o5keXxDvNy/Jk7uXhVjAk7dR6l/MPDs1iSZsi/dhJD6OxSTV23COx1p2xu/RvoHCaW1Tad3bWqg+8c3jrk6PR/c+cFIXv0d1zq9V9N92d5P6j7V4FFHXeuY2TdDsmVPfKlE5lRLYmGtdVola44XyAPW933epBBXWHk69LSer7ufQe7QUz/TNEz99+pYWRyWIwfTK8wfe1Rarx1/eAEAAAAAAACnI/QEHIrQ03e021JDk2NZlbLiSJ48tPakq8tKw0o79PQWKHS17NDzaT8zlvPq+cflhe3JprtLx9zqczPqFk720ksvydVXX+2+dKbAwEC5+r5nvP9uuEuDRA3d9HchJK1c1kQUyJsHs2W6f4ZM2psmL+1NlVf2pcucoEx5JzzPdEOeLKwxv7u9TY9Lq9H6HdV9oZuiikwo+U3dQ6q/1/oZMcxPPmJ9H1pnfG/u0FGDTt2tqeNqdTyujvPV4PZgWoXkVjZKcXWTpJXUWZfLZYH1fd++PFq+PiHY9dnjfvwzHvdsy4Sn1rFan0XfeilEbnr7hHldN0QVyvHsKimsbiT0BAAAAAAAgOMRegIORejpG/rv/GV1TRJfWCN7E0rktQOZJnA43WXlq9DTPf5S9xTq2M7HNsTLvJAsM2IytaROGltaXQcEOIwGnnY3p55vjwabGvi3/f3Qr9laTp2SzLJ6OZxZKXsTS2VrTJGsP1Eo750okE3RhSbsDEotl9iCGimva3bfq+80NLdKRE6VzA3KkjtXxJjf5R9PD5MfTguTi6cekvOnhMp3Xz4o37E+P1x10IzC1c5xHdWrY3tvsz5fRu9MMd9bVnmDeUz9XmLza2Sb9bXJfmly/aJI8wcSnqFq29ftrMoOPa3Tr44Plj9Zr7mO6l1yONe8nho202wOAAAAAAAApyP0BByK0NM39N/586saJSyjQlYezTNhhAYO39AuKzus1MDAW5DQ1Xrmg07Pz40KlF/ODpf7V8fKtP3pJvhIKKo1wQfgNNrdeXp8bReCT3V636e79LKnyvpmGb41yezr1D9G0DAwNr9aThbUmHHQGWX1UlzTZDov+5oGg4XW50V4ZqWsjyyUucFZMnZXijyxMUHuWRVrRlfr58df3oowdf3iSLOn9N+r48yuYN0/qh3eAcllZqevjtbWLu/cigYJTi03I2ef2ZJoxud+ccwB1x9cuDs0PV+zsy57r7D1OF8eFyR/mHfU/OHFa0GuP7zQ15TQEwAAAAAAAE5H6Ak4FKGnb+hIx6zyetmXWGoCjCc2xsv/vXFMvjY+2BVW6l6+ngYO5nH8TOipnZ6Xzjos96yKMR1dm6IKTbBD6AknMSNrvQSedun1ndGws23gqblbc+upM35/xu5MkdqmFqlrapV6q/R3RYPC1nMwj1WfUo9PO7M1nNWu1ND0CjOOV3eRTtiTKs+/n2SCy2etGrk9WV7am2Y+W3Rf8LHsKimoajzj913PJxXVyvuxRTLdP10eWBsnv55zRL4w+oArrNTPDv0M8XhNzrr0M8z9OF8ZFyRXzD0q/33vpMwKzJBd8SWSXlp3Tl5PAAAAAAAAwJcIPQGHIvT0Df13fu1y2hNfYkKLR9afNF1QGgz4NvR0dXp+fvQB+dWccLMT8FX/DBN0JNLpCQfxHGfrrTrr9OxM205QLR2B2zYg7S9KappMmLnjZLGsPp4vbx/OlYWh2fLWoWx5JzxX1kUWyO6EEonKq5aK+g+P5NUAV7u9N0cXyZR9aXLfu7Fy2exw81nh09BTOz2tx/nq+CDTSap/4DEvOMv8wYeGt3R6AgAAAAAAwOkIPQGHIvT0DbvTc39Sqdmx+eSmBBMImNDTDgp6Ot5WH8e901O7tzRU1U6wJWE5ciClzAQOGnwA/V1vB56ByWXef4fc1R+DTzOetrJB4gpq5GhWpen81FG1Woes88ezqyS+sNZ0eLZ4SRa1czS5uFa2xxWb8bd2p6d2hZvPHvdYWm+vR5dLH8eMyfWTr08Ilr++FSFjdqbIqmN5ZrR3vnX8hJ4AAAAAAABwOkJPwKEIPX1D/50/r7LBBBXLjuTJC9uTzS4+DQZOh5U9Dj2t+z+xx4QXXxobZAKHl/emybbYIonOq5ai6kYTfAD9WUfjbLW6MtK2M52Fnnb1p/BTx8LWNrVKeV2z6frU32cNOAutUz1fUttkOjx1PK+3CbIamqaX1Yt/UpksCM2RpzYlyO/nHXWNt9UuT1/s9NTPMP0Msk6//VKI3LosWl47kCl7E0okobBGyqxjZLotAAAAAAAAnI7QE3AoQk/f0H/nL65pkqjcatkaUyTT/DPklmVR8p1JB10jJX3W6bnHBBgapv7Levz5B7NNF5h2mVY1tHjtAAN8RQMtLQ3otFrc5f2y67a2zvZ36nW+CDw9eRtx663668jbs6F/8KB/eHEkq9KMwh23K9X84YXpNtfPHl91emroaT3OBVNC5cG1cbLyaJ5EZFeZ565pbCH0BAAAAAAAgOMRegIORejpO/oP/jkVDWY05YqjefLwupPyg1dCZcizPez0fNZdduAw1NVldf/qWFkbUWBGWmrgqZ1eBA7oLfqzpcGa/pyX1jaZLsR8d+l5rbxKrQYpqG6UyvpmE37avAWddvV0nG1HNNDUXZ5ef7c8yunBp4bN+prrbuGDaRXy5sFsuX15tHxzYoirS7y7nZ7254+WdozqZ9Az++SH0w7JM5sTZdfJEvNHF7XWz4X+fPARBAAAAAAAAKcj9AQcitDTd+xQSDs+g1LKZfTOFPnFzMPy0eH7u9/pacKGfa7S+2un5zA/02Wl4yv9Ekuloq7ZfQRA79EuYg08NdjU3ZLHsqvkcGalhFt11DqvYb9e1t2Oun9SR602NLe6793+Hs/eDDw9daXr08nBp37+WG+RNLa0mj++eD+2WB7fEG8+K053m3c79HR/BpkxudZnkPX1S2cdlvG7U837ryN3AQAAAAAAgIGC0BNwKELP3pFSUifzQrLkzwuPy5fGHnCHB+7Awe6askOFjup04GCf7pPPvBggv54TLhN2p5rgCehN2q1Z39QqZbXNklnWYALNPQmlsv5Eoaw+ni9rIgrkvchCM1L1XevyqmP5siGq0HQbatenp7bjbX09zrYr2gs/tRt0INGRsy/tTZXfvHZEPjsq8IPPEf1+z+ozyPW543n+i2MOyDULjsvrQZmm0xwAAAAAAAAYSAg9AYci9OwdJbVNsiW6SJ7cmCC/n3tUzpsUYsJKEzRot5R2bWr3lR0oeJZ+vU19ZPh++dyLgfLNicHyy1nhcu+7sbI4LEdSiuvczwj4no4qrapvkfTSejmSWSm740tkxdF8mX0gUybuSZOxu1LM7siJe1JlglVjdqaYDueX9qbJ8Dc3yJ6EEokrqJHcygYpq2s2naIadl511dUSEND3gaentuGnty7PwOQyx3Z/6pjbZUfy5N+rY+Wy2eHyjQnB8qmR1meQfqaczWeQdodapx8f4S+fHx0o37E+y373+hF5bEO8vBdZYMYaAwAAAAAAAAMJoSfgUISevUPHPZ7IrTZdb6N2JMsNiyPlW7pbb+heGfLwLhnyiFU6JlIvawBhhxDmvPU1HUXpUToi97svH5S/LIyQZ7YkyoKD2RKcWi5F1U3uZwR8T8elZpU3yL7EUpkXnCUj30+Wh9aelFuXR8vfrJ/pv74VIdctijQ/31p/sS7/6rnFJtj8+o9+I89tTZIZARny/9m7Czjbq3r//9z29u/e+7/qtQvBQFBUEFFKLBQJEVBQurvr0N1IdzfSJznd3d3d3f3579ea+R424548e2b2nnk9HyymdnzPzF57fb/rveK5QXNTgDhh4Zp4p/0HaeYoy+U2tyz4rC7YrCkQLXWEzCw1/Gjf2XH2mxPix/cPTjM0dzgt975zYtvY4ZT2Fft8Zu8/+e9B+e8/lbchMP3qzX3j4CeHx6XvTUqBKksas5+wJEmSJEmS1JIYekrNYCubuG0nQ8/GsWnz1rQcKCEPs+OY/cYMzRQqHP9+7HBC29jh9A4VoUJ+6FA1cKCc0yn+7bJusee9g+KidyfGGyMWxog5q9IMK8IjqbGs3rAlLWdL4HnUc6Pie3cPjK/c1CfN9mPm4P+26REfb9MzPpH7nPKv+xz/keVr//VL34kf3T84zTYk/Ow4fnGqE4tXb0yv3SK8hTWaLBDNL+UUfrKfKvsLj5q7Ol4fviBOf318xf6ehJ7H5d6DTmLgReV7TG3vQed+EP9zVY/4ycND4/qOU6Pd2MVpX1f+jhtz73WSJEmSJElSS2LoqZJCGLhly5bYvHlzbNy4MdatWxdr1qyJVatWbSurV69O3+Nn3Ibbcp9iBImF8LjZ8axfv37bMXEcVY+r6tdr165N99mwYUNs2rQpHWexGHo2LsJPlgZ9btC8OOKZkSkgypaP/IeLuqTZU/9Iuaii8D2WkeTjP1/SNf79sm4pWPrm7f3imBdGxxP958TY+atTGFXKgZHKFzMw123aEsvWVoT2b4xYEGe/OT52u7N/ej1uW/6UZU8J8Snn5Moex34k8MzKx350XHzrjv5x3Etj4sFes6LLxCUxYcGaNBOxBCZ7FlQo8Mwv5RR+Ei6Pnrc67usxM80U/4/Lu1f8/c7rnN5zqnsP4vN/ubRbWtKWZbXZR5jluglQp+fe09Zvqvjj+TYkSZIkSZKklsbQUyWFYJDAcMGCBTFx4sTo169ftG3bNl5//fV46aWX4uWXX4433ngjOnbsGIMGDYqpU6fGokWLUghJMNkYCCyXLFmSnmv48OHRu3fv9Pxvv/12Oq7XXnstfeS4+JzgkY/8/IMPPoj+/fvHmDFjUkhJIFms4NPQs/GtWr85+k9fEXd3nxF/emlMWhL0h38eFN+/Z2DsdueA+Ppt/WKnW/qmpSMpO+c+3+X2/rHHvQPTzKrfPTsyznlzQjzQe1b0mrosza6SGgMh5Ip1m2LK4rVp+WTC+svfn5yWsCX4SoFn/gxAZgpSPv2tgoFnVpgFunfuNX/qa+NSPegwbnHMWLqu8llLT22hJ6Wcgs9FqzZGpwlL4oZOU9OM3QMeGho/uG9QfC/3HkQg/bVbP/oexNe75r7Pbfjb//75UXHJe5PiqQFzYujslS5pK0mSJEmSpBbN0FMlhfByzpw5MWLEiHjvvffirrvuijPOOCOOOOKI+NWvfhW//vWv46ijjorzzjsvHnzwwRQqEigSkjKjsjEQwk6YMCE911NPPRW33HJLnH/++XHccceloPG3v/1t+njkkUemzw899ND08fjjj49LLrkk7rvvvhSCEuDybyPYLQZDz8a3acvWWLByQ9rjs8P4xfHsoLlxW9fpcdG7k+KkV8fG0c+PisOeHhG/eXJ4HPrUiBRyHvfymDjv7Ylxa5fp8cLgedFl4tIYObdySdtNLmmr4mK2HjOHWRJ1VuUennd2m5FmZ+7zwOC0LCpLLKfQM39252F3xA6f3rVg0JkKP8vd518v7Rafua5XCvp5vd/Xc2auPhR+jymVmYN1CT4p5RB+8p4xe/n6GDhzRbw3elGaMX7jB9PivLcmxPEvj40jnxuV3nt+8+SIODT3XkQweuIrY9MeroTUrw1fkELwcQtWu6StJEmSJEmSWjxDT5UMZkAuXrw4Ro8eHe3bt0+B3sknnxw//OEP40tf+lJ88pOfjP/7v/9LAd/+++8f55xzTjz++OPRpUuXFEouX7688pGKi1meAwYMSIHnZZddFn/4wx/S8++6667xla98JR3bjjvuGDvttFP6+gtf+EJ8+ctfjt133z0OOeSQFJDyb+HfNGXKlLRMbjEYeja+/HiAAJTgcsCMFfHq8AVxf69ZcdMH0+KqdpPj8raT4srcx+s7TY17esyM5wbPix5TlsXMZetiw+YPg07jBhUbMzx5ba5YtznGzF8dTw2Ym2Ylf+O2fvFfV3ZPS6D+3YVd0pKoKfjk4xF3FQ46s7LnH7fd9u8uqFiy+f9d0T3NIDz3rQlpmdsNZRCetYTwM38p7A2btqT3FN5bns+9x9ybe69hBijvPbwH8V7Ee9Kfc+9NrwybH/1z71W8Z7HssSRJkiRJktQaGHqqZLD/5eTJk9OMysceeyyuuuqq+NOf/hQHHnhgfP/7308h42677RZ77rln/PKXv0yB6A033BDPPPNM9OzZM4WALEVbTOznuXDhwujWrVvcfffdceqpp6aZnASNP/rRj9Kx7LXXXvHjH/849ttvv9hnn31SSMvPmJl60kknxfXXXx9PP/10dO/ePWbMmOFMzzI3f9WGGDxrZXQYvyTtmchsTmaAPj94brw6fH68P3Zx9Jm2PKYvXWfYoEbHa4xZnotWb4zBM1fGPd1nxi8eHZYCzzSjk5md7AOZ9oLMFQLNQkFnVn5A4Nn5w/tQKh/jk1f3TDMJXx46P+auKO57bWOqS/hZDrM+MwSffacvj7a59xrecwhAeQ/ivej13HtS+/GL08zQuSvL528kSZIkSZIkFYOhp5oVoSIIAtmbkyVgmb15+eWXx9lnn51mSTK78sorr9xWrrjiirj44ovTz88666xo06ZNPP/882m/zWXLlm3b2zN77O3B7NN58+ZFp06d0rK2hJh//OMf47TTTotLL700rrnmmrjpppvizjvvjHvvvTfuueeetCQv5aGHHooXXngh2rVrl/5d7FHKrFH39CxvazduiTkr1sfEhWvSsrXskzd41ooYMmtljMh9PX7BmpixbF3aX1FqbMzyXL1hc8xZvj56TVmWZvqxrO3HLulasWcn+3emwLNz7PCZGpazpTADNAsCs5mh3JfHOKtj/Pvl3dK+tiybyozneSs3xJpcfeAYSl1NwWc5BZ5gX06CT95reM/hvYf3IN6LeE+akHtvYkncNbnXhSRJkiRJktSaGHqqWREAstwrQd3UqVPj3XffTUEiwSIBI0Hj22+/HX369IkhQ4bE4MGD06zOl19+OYWdxx57bNpb87bbbkvL3M6ePTtWr16dQtRihJ4cG/twtm3bNs3YZHbpueeem/bp5HsDBw5Me4oyQ5VZnASRfMw+nzt3bgpzWXqX/UqLtbQtDD2bBzPr2GePoInwgXBzea7wka/5PsGoe+epKbB88rK1m2LyorXRafySuLr9lNjrvkHxjxflhZ6ElzUtaUsYmh945hdCz7MqHuefL+kae947KC56d2K8Omx+DJq5IoVr63Kv93JRKPwsFHp2m7S08rPSQ8jMe0z+e1BWsvcg3qOcaS5JkiRJkqTWxtBTzYpwkpCS2ZQjRoxIMzbPO++8OOyww+KEE05IsyWHDh2aZkiuX78+1q1bFwsWLEgh6B133JFCzyOPPDIthUs4Om7cuBQyslRuNuOzIQhMKTwfAeY777wTV199dQpimeH50ksvxdixY1OYWayZm/Vl6CmJwJEZl8Nmr4w3hi+IC96eGLvfNaBiH8/TO3wYehLwsXRtocCzSgj4kcJ9K0PPv8895tdv6xfHvDg67uw2I94dvSjtI7pqffnNKMzCz+pmeWb//nKbBdoYiE4ZQ7Q59z8CV4J2llSmsM8oJfuawoCPLUUYdLQ9eHYyX4Jfjif/GKseM5/z7zIjliRJkiRJKn+GnmpW7MG5ePHitPQrMzjZy5OZlASZZ555Ztqvc8KECR/Zq5PPmV355JNPpiVuTzzxxBRIMvuzf//+acYoy9xuz96ZBJncf9WqVWkW51/+8pe0tC7PxdK7b7zxRkybNq3BMzezUHV7GHo2ne3tC7cvXY2FwHHSojXRecKSeKjPrDjhlbHxjdv6xd9c0PmjMz2zEDN/iVtC0Oz71ZUUenZKj/O3F3SJz1/fOy1xe85bE+KxfnPSPqIER+WoukAzC0SzUgrBZ3O/BxEertmwJRav3phm97JnMYWlvFlql8+nLan4yL7HzT37l38vYSczXxfkjmfmsg+PmePNP2Y+X7JmY1ks0yxJkiRJkqSaGXqqWTEjk/Bu0KBB8f7778cDDzwQF154YZpRSbj42muvxZQpUz4SYBIWEji+9dZbaT9N9vy8+eab49lnn42OHTvGsGHD0szR7VlKllmizCxlhimzRwkT2UuU4+IjoSfhKrdpLoaekljalr0cXx46P67tOCUOe3pE7HhTn/ibH/wpdjjkjorAkv0580K8GpezrVq47zm5xzi7Uwo9/7dNz9jtjgFx2FMj4/qOU9MysOUaehZSNfDML6111mcWeM5fuSHGzl8T/aaviO5TlkX3ycui59Rl0StXeuS+7pp7LfBx+JxVsXB18ZZyr69tgec69j5dn/Y97T1teTpejo/jpXSbvDQdc++py2PcgjUpIJUkSZIkSVJ5M/RUs2Jp20mTJkW3bt3STM277747LR/LErcEmuzxyfKyVZeqZa/Mzp07p+Vv2feTpW6ZJfr6669Hr169Yvr06dsVSGbL7s6fPz8tu8tytoSw7OnJjE9mfhJ6svxtczH0lLR4zcboN315PN5/dtpr8xePDYuPffHbH87mPOyOvw4961O4L/t65gqh579f1i0+d13v+MG9g+K018envT3nrmi+wR/Ftu+DQwr/HvJKawk/WaKWvUOZ3Tl9yboYMmtldBi3JF4cMj+eGDAnnug/J54eODeeGTQ3nsx9/Wi/2enj26MWpuCTvY6bGrM1mf28YOWGmLRobQpo3xm9KJ4dNC8dL8fHMVMez33NMT+bO/6O45fExEVrWlSAL0mSJEmS1BoZeqpZEdCNHj06zfJ84okn4tZbb03hIsHnXXfdlWZuEnBWxb6e3bt3T0Hnbbfdlu533333peVwuQ9B6vYEkswSXbFiRQoWhwwZEi+88EIKO88444y4/vrro127dmk2aXPKQs8DDjgghZ4sCUwY25yzTyU1rQ9Dzzlx5E3Pfxh2ZuXTu25f6ElhidtzP0hL5v7TxV3jv67oEV+5qW/88rHhcU37KfHemIq9PQk/l+aOZ/WGzdv2dSzHBUNrmu2ZFcLRlh5+EnjOWLou+k9fEW+PWhSP95sTt3SeHpe+PznOfWtCKue/PTEufGdi+vysNyfEebmvr+04NZ7MvR47TVgSI+asSsvILly1MYWR7AfamK8LgtYJC9ekWZ2vDV8QD/aelWYkX/TupLQkM8d5Qe54KXzNMXP8t3aZHi8NnR+9piyLsbnXMkv4suTtmo2bY1N6LVc+gSRJkiRJkkqaoaeaFcEiy9GyjC0BHoEiy8e2adMmLXXLDFACzqqYgcnPHn300bS0Lfcj+GTm5zvvvBNjx45NS+c2VLa0LbM52Sf0+eefj2uuuSYuuOCCuPPOO1Pg2twzKgk9CXr333//2GmnneL3v/99vPfee5U/bZjt3WdUUtMiZBw8a0UcdspFfx14ZmXPOuzdWVMhNM2Vv8l9/ncXdEnB539f2SN2vqVf2t/zjDfGxW1dpqeQaeCMFTFr2bpYsW5TZcBVeaBlpi7BJ6UlB59L1mxKIeD9vWalsPCo50almcQEvj+4b1AqP/zz4Nj7/sGxV+7zPe8dFHv9eVAcmHtNHJm77dlvjo+bO0+LF4fMi77TlqcANb0uNlUEn8XGQ7Kc7ftjFqXnPfW1cXH40yPTa/RHuWPkeDlOjpfC1xwzP/tl7t917Iuj02zpu7vPiLdGLYxhs1fGvBUbtoX4No+SJEmSJEmlz9BTzWr58uUxcODAFCrefvvtcfXVV8dVV10VN954Y5r52bt371i8eHHlrT/E7M8uXbrEww8/HDfccEMKSa+77rq0PC5L3I4aNSrWrFlTeev6Y5YoYev48ePTcrnMIL322mvjoosuSs/Ro0ePFNg2p6ozPY8++uh4++23/2opYEktFyHSGRddUTjszMr2hp4Fyt9f2CX+7bJu8fE2PeKrN/eN/R8aEue9NSEtFTqoMvhkj0SWGy1ndQ0/2du0JVm/aWtMXLg2/T1PeHlM7H7XgPjMdb3i/7uqR/y/K7qnvz3l3y/vHv+RKyx7/K+X5r7OfSQQ/79resZXb+kb+z44OM58Y3w8NWBO9J/+YfDJ7Mli4/U2cOaKuKv7jDjkqRHx9Vv7pePgeP4zd4zZMXO8FD7nmPmcfxf/vl1u7xcHPT4srmw7Od4YviDNVCX4XLNhc6MEtZIkSZIkSSouQ081q2XLlkW/fv3iqaeeSjM2CT0JL5lNyZKyBKLcpiqWlmW2JcEoe3pyP2ZistQte4OyD+f2hJ7MEiVYHTlyZHzwwQfxyCOPxGWXXZaWt+W52DuTn82ZMyeFoxwPt+cjXy9atCgdN8fA/qCNgdCT2bAHHnhg7LjjjnHwwQen45w4cWKahUrhWDgujjMrzJIlSCZwZt9SZrUalErl6Uc/3qdw0JmVQ9nT84OCQV2DSuVSt/mFAPTT1/aKnz0yNK5oOzleGTo/BVwsEdpS9kisKfxsKbM9CfXWbNwSi1ZvTEvEthu7OK5qNyV+/MDg+K8ru1f87c/uVFHO7FhRzsp9nkr2da7w83M6xd9e0DmFjgc8NCQufW9SmvHZb9rymLlsXazLPU8xMAOTZXMJJtlH9KUh8+P018fHt+7oH/98Sdd0HOl4OMaqx5z/NbfJvZb/6eIu8eWb+sThT4+Imz+YlvYnZcbnglUbYrNr3EqSJEmSJJU8Q081K4LBvn37xpNPPvlXy9SyP+Xw4cMLzqhcuHBhCktffPHFtMTrTTfdlMJSQs+XXnop3W97Qk/uO3PmzBg8eHBaLveOO+6Ik046KX7zm9/E7373uzjvvPPSzFSOk9mmDz74YPpICMus1TfffDMtv8tM0caaETp79uwUch500EHxla98Jb7//e/HySefHPfcc0/6fVL4OcdIOMqsUI7z6aefjrfeeiuFxvye+HeuWrWq8lEllQPeX/bdd9/CQWeu/O1nd/swhCpq6JkrWeBJoERglPv4L5d2jZ1v6RsHPzE8Ln53Yjw9YE4Ki4oVbpUCwk2Wdq36O2kJszyZxMhsxulL1kXPKcvi6YFz48p2k+M3T45IIeDfX9Sl4rWUBYVnVJbs6+x7+V+f3SkFj8wEZvbkBW9PjCf6z4nBM1ek59pehJDL1m6KcQvWRPtxi+OB3hXL8O6X+xsRtqbXff7xVD3mQv+G3OuamazfvrN/HPnsqLi6/ZR4ffiCmLhwjft6SiWMfYRPfnVcmpVe9T2awvf5OUW1y36XpSI7ntr+vrwOJEmSJMnQU80qCz2Z6UnYSfB57733puVk27VrF2PGjCm4dyYzFYcOHZqWcyVovOuuu1LwSRBZjNCTEHDatGnRp0+f9HgsuXvIIYfEd77znfjmN7+ZAsb99tsvzbL8yU9+Eiwx+9Of/jTNtmRvzbPPPjsFpfwbCBUbY69MZm0SbB566KHx5S9/OT7/+c/Ht7/97XQ8P//5z1PhmCjs+7nPPvuknxHann/++en3TLA8aNCgNCPU/Tyl8kDgWSjozMpOvzkt/uuK7hWz1ygElXQMZh+3t1Tu8Zk/6/MfLuqSnvPLN/ZJS5pe8M7EaDducVpytKpyf6fJn/VZ3SzPmn5WSvhb8NbPjElmeLL35v29ZsbxL49Je10SeBICMmtzh3MIuiv/5vmfZyX/awLx3EdmAXP/L97YOz3eOW9OiHdGL4yla/96BYS6vi44XgqBOnt4dsi9zq7vNDXt3/nduyuW4f2XS3N1hNcox5F/zNnxZSX/Z9w295pmz1qWuyXEZw9THpvfS6GZnnU9ZknFlwWd29qmepRSCvRKDb/X/N9TcwWJWdCZ/3erazEAlSRJklo3Q081q/zQk1maFGYmskRt586d00zJQrMQly5dmpaXbd++fVoGl1mMhKYEjcUIPQlaWSaWfUMJFi+44IIUHu60007xmc98JgWMLClLIXCksK/mLrvsEnvssUf84he/SEvhct9hw4al2Z7FDhUJPZm1efjhh8eXvvSl+PjHP56OjWPiWPLLF7/4xfjc5z6XjnPPPfeMo446Ku2Dyv3Zs5QlcA09pdLH3sKFgs6s/P7MS+LU18bFzrf2TXsW/t0FneNvCKyykLJYwWdW0mPmSuXXhJ8sdXvoUyPSbMG5K9ZXHnnLU12omR+KUko5/ORtnzBv7cYtMWPp+nh39KI4/+2JKTxkSVtCy/T64d9Sn9dPldcFj/PJa3qmGZ+P9p2dlrhtKLJH9opdsW5zjJu/Jp7Jvc6OfXF07Hhzn7RHJwFtvV/zebf9m8rvfeySrin0PeGVsen3UijAl9Q8Ghp2Vi08jj6quX9PxfrbUvz7SpIkSa2ToaeaVdXQk5maLMn62muvpdlMBI/sO1kV9xs9enR06tQphZws38r9ixV6EqryGMwkZbnYM888M82cZCblbrvtFj/60Y/iV7/6VRx22GEpdOQjheVvWW6WjyyHyzG9++676bFYjpYwtVj7ZxJ6MsuVGaiEmQSfBJo89xFHHJFKdmx8j+Pltscff3xcccUVaTlejo1Qlj1IJZW+mmZ5du3aLYbMWhn39ZwZx7wwOr5/z8D45NU9Kzr/sqU808zPeoRXtRUei5lyfOSxz+qYljT94Z8HxS2dp6XjYc/F1qJq4JkVlsUtxfCTAJFZnivWbUr7eL40dH4c99KY+MINvSv+piz5WjkDsl6vmwKvi3+8uEt6TV7XcWoMmLEiVjTwdUFIy16xzEwdmnt9/bnnrBSmpn1HK59r20zOuh5zFnpm96vc55NZqr96YngKavn9tJQ9aqVyxey9hs7+q6446/NDNf1uG3vWZ2P8bbPirE9JkiSpdTH0VLOqGnoSWhJ6vv7667WGnix9S+jJrFD2qixm6EkIyHGxzC77jJ566qlpGVmCzyOPPDIuvfTSNCOVPUU5VkJaZpzef//9ceWVV6ZZngSlhIuEphxTjx49Yvr06bFuXcNnuOQjRCW4/OUvf5n29PzhD38Y5557bppdyrK1FH43HCP7jD777LPpGPk+v7cBAwbEuHHj0izPQr9jSaWp6mxP9vbk/RLMrOwzbXk8OWBOWkp097sHVnT6ndi2opzeoWIpz/oEWDWVFBZRKoOiMzummXa73N4/7a/4l5ELY/S81bFw9cZY1woCo4K/o7xSasHnlq1b0zKxi1ZtjBFzVsVTA+bGUc+NqtgTkwDxjNzrhY/b/s4f/fdUW/Jvnx6nY/r+127tF2e8MT5eHbYgRs5dFQtWbUizTOuDWZ6rN2yOOcvXp2Vnb+86PQ54aGia5Zm/N2e9jpeS3Z77Vj4OAf7efx4cV3eYEh3GL4mJi9ampXk3bDb8lJoawVXBuluk0tqDsbr8fhtLY/9tKQafkiRJUuth6KlmVWimJ0HeK6+8kpaWnTBhQrXL244aNSo6dOiQQj3CxmIub8sel4SUjz32WAoY2KPzxBNPjFNOOSWFoG+99VYKZJcvXx4bN26MDRs2pH8Lx0SoyHFcfvnlae9Mlsa95pprUujIPqSF9ihtiFmzZqV/N/uKsoQtoSzL1RKGbtmyJRXCTI6RwvHxkaV2+Z2uXbs21q9fH5s2bUq3lVR6sjCzqiz4JPDMsFTphs1bY9naTTF2/pp4btC8+N2zo+I/2d/zlPaxw0ntKsKcYgWe+YXHI9zi8XNfsyzo758fHff2nBntxy2OcQtWp+Nq6aqb6Vm1lEr4yaxJlm2dtWxd9Ju2PB7sPSsOe2pEfLxNz4oQm7CSkLzAv6HOJXtd5F53zCA94tmRcVf3GdF27OIUiC9Zs7HyaOqGwHHpmk0xedHa+GDCkri+49T48f2DU0CZjpfnIrgsdCx1KXkBPss173pH/zj19XHxeL850W3y0piyeG2s2uBSt1JTaopQjNJag7G6/H4b63fTVH9bSmv9+0qSJEmtjaGnmlV+6Eloecstt6T9OZ977rkUaI4dO7ZgSLhkyZK0LCvLsxL0MZvy5ptvTqFpMULPxYsXp5mQhK8EixwXYSePT8jK4xMYVsW/h/sxo5LbEngSlp5++ulx1113Rffu3dMs0mKEjISe/K4OOOCAtNfo73//+3jnnXfcm1NqIbJgk4+FVBeIYvX6zWkWHEuJEgixn+K/XNot/vmSbvGxi7umPRaZkVmoU7BBJQs9CZ3O/SA+c12vtCzo1e2npCVTB85cEQtX1S/cKmflEn4ya3Lx6o0xdv7qFE7f3Hla/PzRyqViCQ+zmcEFjr3OJXtd5B6HGaQ8/hXtJsfzg+dFv+nLY/7KDZVHUzfMGGZGM0vbvj58QVz07sS0bC4BZTreytdgwWOpS0mhZ+4xco/D3qBfvblvmv16a5fp8ebIhWmG6vJ1LT/Al0pFQ0IxlknNL4VuU11pjcFYod9DfmmsvTGb+m9LMfiUJEmSWj5DTzWrLPRkSdYsWGTGJ0vcvvnmmylcZHZiVQSHWSjJfp759y1G6MlMyKlTp6bn6Ny5c7Rr1y7ef//9tCzsoEGDYt68eZW3/ChmfE6ZMiWFEczsvOqqq+JPf/pTHHvssWm2J48xY8aMdGwEn9sTUBYKPQmBt4eBqVQaqi5hW1PAWQh7Nc5ctj46TVgS9/SYGWf9ZXz86vHhadba/13dK/7t0m4pJCLU2basZ4HOwXqVbEbfuR+kkPWAh4fGeW9PiEf6zo4eU5bF3BX1C7fKHYEme3kW/F3lleYMPpk1OXPZuug9dVk8M3BuXPjOxPjR/YPjPy6vDD0rw8pCx13nkr0uco/DDFJ+J2e/OSHNKu06aWnMXv7XA4hqwh6xExeuiY7jF8cDvWbFia+MTcspE+Sn4+W5CC4LHUtdSt5Mz7/Jff2lG/vEwU8OjyvaTo7nBs1NAf7Ses5OldRwdQ22COZqCrT4eaH7VS08X2tS2++3MX8fhZ6vUOEYagpe+bvX9XVCkSRJktSyGXqqWRF69uvXL830ZKbm1VdfHdddd12aFcmMyoEDB6bbVDV//vzo2bNnuh8zKgkICBWLFXqy5CtLwzLjk+di38s5c+aksJNZpiwNWwihJ4Ese2V27NgxHdvxxx8fv/vd7+KSSy5Je3+OHz8+Lc/LTNHNmxu+RF5+6Mnytuw1+sYbb1R7bJLKA0vW5geeWakPxi+s37Qllq/dFNOXroueU5bFfT1mxu+fG52Cz0+06Rn/ckm3+DuCIkIeZsZtb/B5TmW4lXu8T17dM/Z5YHDav/G+njOj88Ql9Q63WoraZn02Z+jJa4QA8b0xi+KObtPj+JfHxO53D4h/v6zbR0LsQsdd55K9LnKP879tesTe9w9Oy8Xe3X1GCi5nLFsX9RluwyzLobNXxstD5+V+d1Pit8+MjJ1u7lsRejJDk8Byu0LPXOHfnnucv72gS1qS9xePDUuB8OP9Zkff6ctjsaGn1CTqEmTVN5RrjMcsV3WZadlYMyPr+neoz/PX5d9DaayZq5IkSZJKg6GnmlW2HCyzIgksCT3btGmTAlCWrWUWKAFhVYSQXbt2Tft/3njjjek+BJ933nlnvPrqqzFy5MjtCj0birCU5yUcJcxlaVyWt/3tb3+blrolkB0zZkwKRgknixF6/uQnP0mhJ8Eq//Zi7RkqqWkxm7NQ2JmV6pa5rQuWBGVW3ZVtp8RPHx6Wluz87yt7VCwJSqjFbL5ihJ4pcOqcljHd78EhaYbp/b1mRpdJS2JOKw09M9WFn82J1wVL274xYkFc32lqHP38qNj1zv4fhp78Pbc79MzdnzAy9zjM9GQm6emvj4t7e8xIM5GZaVof7A07YMaKeGrAnLjkvUnx6yeGx1du6lMZeuaOl+MuUuj5dxd0iS/e2CcOenxYXPzuxHii/5y0JG999yGVVH91CbAaGk7WJXBrrLCvVNTl99uYv4NCz5dftid49u8rSZIktW6GnmpWLF07ZMiQtEztvffemwJMOvbZ35PQk+Cw0ExPQkVCT5bBvemmm9J9CEoJGd96660ULDZkxuP2Lu/KkrUbN25MQS17jnJ8p5xySgokL7roohRKFnump6GnVP54DysUdGZlewLPzIg5q9JyoMe9NCZ+eN/g+My1veIfL+paEfBsb1BE4TEqZ/R9OvfYzI67/P1JadlUgqIFq1rX8rbVyQ8/q5vlyRKwTTEDlNBz3ILV8ebIBXHjB9PiDy+Mjt3u7B//VsyZnnmPwwzgAx8ZGhe/OymFliyry/6c9Wl5CT0HzVwRzw6aG5e3nZSWniX0TLOWeZ4UvG9P6ElIW3HMzPTc8ea+aTbpDZ2mxqvD5sew2SvTMUhqXAXrZ17ZnlAMtQVj2/v4pa7Qvzm/NOZsyKb43df2HM72lCRJklouQ081KwI6ZmW+/fbb8dhjj6WZmoSXd9xxR5r9ySzQQnt6LliwILp3757uwwxR9vS855570t6g7du3jwkTJsS6dfWbPYLtDT25P6EnQS1L7D7xxBNx5plnxjHHHBNXXnll+ndOmzYt7RnKrFBC0oYy9JRahqYIPDFh4Zp4ddiCuKrdlDj86ZHxtVv7xccu7rot4NmucIvZcTzO6R3S43z++t7xu2dHxV3dZkTbsYtizPzVsbQRg6Lte+duelnwWUhdQtFiYXnbSYvWRrtxi+OeHjPipFfHxnfvHlgRemavi2Ls6cnr4pxOKWg/7OkRcXvX6fHe6EUxau6qes+aXLFuUwyfsypeG74gBZFHPDsyvnpL37zQM1e2N/TkcXLHzJ6337ytX/q9sDdtl4lLYnLu98W+opIaT22zEIsVSLbWYKwpQseaFHrO/FIMdZnJKkmSJKllMvRUs2LfTGY+durUKe3h+cADD6R9MCk1LW/LTM8uXbqkmZSEnoSkfM6MUcLQqVOnppmUTS3bC5TjYz/Sxx9/PM4777w4+eST0yxW9vlkaV72/sT2hKyGnlL5q27/zqyw5G0xEG5NW7IuLXH7WL85adnZPe8d9NFwq4ihJ8vn0ln8/KB5aVYe+3mu3mBQVJv8wDO/NFb4uWHzlrS8bK+py+KpgXPjgncmpuVn//OK7sULPbPXRe5xvnRjn7Rv6NMD5kb/6cvTc9c3QOT2BPgdxi+O+3vNihNeGRvfuqN/xVLNHC+lSKEnQSohMDNT3xy5MEbOWRXzV26IdRsbPmBJUu0K1s28UqylSZsqXC0ldQkDi/X7LYRzg0LPmZViBs21PVdj/jslSZIkNR9DTzUr9r9k5iPh5jvvvBOPPvpoWq6WvT0J9Ag2mdWZj6BwxowZ8d5776Wwk/08CT4JSdu2bRuDBw+OOXPmbAsW64vHJzAlbCWgJFzk4+LFi2PFihVpBml1MzT59/DcI0aMSDNO+Tewl+fZZ58dd999d/To0SM9zvbM8MwYekrlizCzpsCTnxXTxs1bY9HqjWn/xvbjFsdNnafFzx4dlvb1LF7oWREU8fUut/ePi96ZGO3GLo6pi9em2XkEbNVh+MeW3P825I5zzcbNsXL95lieuw+F+1Lyv16zYXNs4g4tzF/9XquUYoef/A55XTATt23ub3Vz7nXxy8eGxf+2yb0usmVptyf0zA/Dz/sgzS4+580J8e7oRTFp0ZpYvjb3uthUv/aQwHHOivUxeNbKNNuTQJIA/58v6VpxvNs705N6wOOc0SH+6eKuKQS+6YNp0XPKspi9bH0KXVvia08qFbWFcsWefdmaZns2d+CJ2oLIYiv0HFlpSX9bSZIkSR8y9FSzIlwk1GQPTkIAlqe9/PLL47TTTkvLwf7lL3+JmTNnVt66ArMpmR3K8rfsk3n66aen5R+ZKdq7d++YOHFiCha5XUOwz+bChQvTXqOEqBwDH/v06RNjx479yEzNqghKud+bb74ZDz30UFxzzTVx/vnnxyWXXJICXWZ/FiuUNPSUyldNgWexlrPNlwWKhIbjFqxJ+yEe+dyo+MTVPSvCrTM6Niz0JNQiYMqCotMrlgT93j0D09KjzPIkwKwNERLHx16Js5avTzP5COIoHC+Fz0fNWx1jF6yOmcvWx9oWNtuu26SlaS/Pgr/nvFLM4DO9LjZtSb93fq/PDZ4Xx7wwOu3JynK06XXRkNAze11Q8sJw9gtt025K9Ju2PL0WG2Jz7qD527NH7MDc6+vu7jPip48MrZi1zGuQ0pDQM/+1zL/7jA7xL5d0TY/9YO9Zae/TbIankafUeArWz7zSGAo9T1Za0mzP5l7WFjUdQ2M8f00ha0v620qSJEn6kKGnmhXBJCHd7NmzU1j43HPPpZmRBHgEn+yJOXr06LQHJjMwmSHJfpmEh+zhedxxx8XRRx8dV111VQonR40aFfPnz09LzBJeNgR7ck6ZMiXNPM1mkt56660pZGUZXvYgLbTkLqZPnx7vvvtuWp730ksvTUvbEszecMMN8dJLL6Xja8heo4UYekrli0EeTRV4VsVMtQ8mLElL3O54c58UUqbgMwuKCH+qdAxWW7KQiI88Rq4QPh3w0JB4oNesNMuzNkwAJUxaumZTTFm8LgbMWBGdcsf33phFqbDfJLNT+fzt0YvSjMT+udvMW9mw2fylrrolbquWYs/6ZPZst8lL4/y3J8bXbmWPzNzz8DfNwvCGvi4IT3OP8y+XVsyaJKQk1C4Ggs9Xh82P3z8/Kv7vmp4fPl92rHU95vzAk5L+3Z3SjNcjnhkZLw+dHwtzzyWpcTX1LM9MU88+bA6lEHiipuNojL9va/jbSpIkSfooQ081K0JMZk0SZDJDk+CSmZ5HHXVUnHDCCXHnnXemoJHgkyBy8uTJMXz48BRIXn/99XHMMcekQqjIfpmEjoR+BJdVl5AlNCVk5fnWrl2bCjNN+V5+QMrPeR6OhcclhOWY7rrrrhTK8jwcD7NBWc6W2/ORGaDMNGVv0WwGKrM8Oc6HH344OnTokP4NDZ2BWpWhp1Teqgafxdq/sy5GzFkVt3SelsLJz1zbKwVS7F+Ywp8s+KktMMpue94H6b4sBfpfV3aPr9/aL/744ugURi1evbHyGQtjdidhJ/uNDpu9KjpPWBovDZ2fZtbd1X1GKvf2nBn35Qqf394t93WPmfHCkHnRZ9rymLN8fQpMmf2XFWYvbsd2ySWjOcJPlj++K/c7/tmjQ+Oz1/WKf720W/x9Q14XBIi8Li6oeF38vyu6x0639E3h5POD5xUtsObv3WPKsrjkvUnx/XsGxsfb9IiPXdI1/pYgf9vx5kqh48wv217LndO/l6VyCTzpnD/3rQlpkEBLm1kslaLaAqrGXHq10PNlpbHC1qZSCsvaZgo9d1Ya4xhq+7dLkiRJankMPdWsCCIpBIfz5s2L7t27pyDv3HPPTTM9L7744rj55pvTrE6+T2FvTMJIAsVTTz01BYzMCGX2Z7asbfa4+QhCCSpZorZfv37Rv3//NPOS/UEXLVqUgkvCT27HsbCcLUvm3nfffWnPUGZ7MoPz3nvvjccffzxeeOGFeOWVV1LQ+PLLL6c9RQlGOZ6TTjopzjjjjLjuuuviqaeeSkEpM0R5nmLs5wlDT6k8EGZWN4OT77PUbVMGnpi1bH28NXJhXNF2chzy5Ii01+LHLu6alvTc4ZT2FcuRshdj5ezNNHuucsbeRwpLl+a+T7D1hRt6xz4PDI4TXxkb9/SYEX2nLY/VG2qecc8SpyPnrop3Ri2Kh3rPSgHeOW9NiONfHht/eGF0Kn98cUz88aUx6fOjnx8Vx+a+PvvNCSm0fW7Q3Og4fnEMmbUyZixdl5ZpXb+pIgRtCcEnags/ixl6zluxIc2obdN+Shz+9Mj45u39UvCZlnut7+si9/EfL+6SwtO97x8cf8r9De/oNj3tjcm+rPVV3Z9z/MI16XVAOPmzR4bGF2/oE397QZfY4bTcsZ6aO2aOPTuu7HirHjP/Jo753A/STOWv3tw3PdaZfxkfT/Sfk16jvKYkNa5C73FZaeyZiDXNQGyqWZCNoZQCTxR6/qwYekqSJEkqBkNPlQyWsCWQZHlYgkaWh2W25yGHHBIHHnhgCgb222+/+NnPfhaHH354nHzyyWnpWWZRMht06tSpNS4dS6jJ47PfZhagEloyO5M9QtlblNmfBJ/MACUg5fu9evVKt2PWKSEsQSuzSwkZDz300Dj44INT4TgPO+yw+O1vfxvHHntsuu1jjz2WglxmeC5ZsiQ9btUwtqEMPaXSlz+bsymWrq0r9tmcuHBNdBq/JC03eshTI+K/r+wRO5zcLnY47v3Y4aTcR8KibI9EAiGCIT5P+x1mpUMKkJjhSeB5ybuT4sUh86Pf9OUxe/n6NJOzOrwVsjcn4evl70+Ow54ekZY//c5dA+Ibt/VLwdNXb+mbAlkKMwV3zH1v59zn3Ib9Lw/P3efsN8fH/b1mRucJS2LyorWxdM3GWLdpS2xpKalnTk3BZzERUk9evDY6T1waf+45Ky3t+vE2PSsCz+x1QfBZl9fF2Z3iPy/vFj/886C0ZO5zgypm5/I3Zx/RYmGmMHu9Epxf13Fq7Jd7XfzjRV1jhxPbVhwzx84xbTvmyoDzr445V877ID51ba/41ePD02P9ZcTCGDZ7ZSxctTHNIJbUeGoLpxo7mGupy6DWFOZSmjrQLXQMWWmMv7HL20qSJEmtj6GnSgZhI/txDh06NN5+++0UMrJn5x577BFf+MIX4uMf/3h84hOfiK985Suxzz77pOVjH3jggWjXrl1abpZQsSaEqoMGDUpB5CWXXJIK4Wrbtm3Tc86cOXPb3qEZPif8ZNbno48+um2/0R//+Mexyy67xJe+9KX47Gc/G5///Odjp512iu9///tx0EEHpUCWGaoEuCyVS9hZbIaeUmkj5MxfvpbS1DM6q0OAs3Fz7v1t1cboMXlZXPb+5BQ0pllvWUiULQ2aSueKki0ZSjm/c9oPlJlxX8/d96RXx8aLQ+al/RpXrNucHr9QUMRb7KbcD5as2ZT277yj24z45WPD4nPX906zCv/hoi4VS+1WdkiyVCkz9/4m72tuw5K8H7+6RwpAj3t5TJopyr+F4JMZnzxHS1M1/KxulmdDZ39mrwuWJSagvLr9lNjtzgEVf+9spmcdXxf/mvv7EFQzS/eZgXPT0rnLc3+XitdFcf42PArHTMjN7OV3Ry9KHdws2Zxewxwz4ea246VwzJXHmv1bcsfMHqaE99+7Z2Bc+M7ENON1+tJ1KQhuSTOHpVLVnEvbZgo9b1bKcYnb2gJPSlMrdAxZaYzfcU2vq3KewStJkiSpeoaeKimEjiw3y1K1BHiEBkcffXTsv//+8YMf/CD22muv+OlPf5rCUJacJVQcNmxYzJkzJ83SrMnq1avTcrbM2mSZWsqzzz6bQogxY8akPTm5TdWZmCy9y4xP9hFlad0LL7wwzeQk3GTm6d57751CUI6L4PHss89OgSfL3w4YMCAtudsYDD2l0lUo8MxKqQSf4O1u6uJ1aRYeS8p+9+6B8eUb+6Slar9wQ5/47HW908y3T17TMz55dUX5v2t6pYCSmZi73dk/zaz740uj016b/aeviJXrql/Slhl+BGqTFq1NAeXj/ebEya+OjV1u75eWyE2hazYjL38GXqGvma133gdp70VmiDLj85E+s6PLxCUxdcna2LC55e7BmIWfheQHow0NPzFz6fp4eej89Pdhv8wv31TxumD52GpfF7nvMxt319zrYt8HB8cxL4xOe4T2nro8BdGNiVnFLEPLDNXfPjMyvnV7//jittdy7/jMdb3SMeYf86dyX/OznW/pG7vfPSB++sjQOP31cfHUgDlp9ij7xUpqGrUFdE2hpmMot4CstpmzlKYIkquqLdwutpb0N5UkSZJUN4aeKikEjMuXL0+B3vDhw6N9+/YpmLz//vtT4Eh58MHw1GXXAACO80lEQVQH016bXbp02RZWEvSxl2dNeGxuO2TIkPjggw+ic+fOKZScOHFi2sNzxYoV6TZVEYKyFyeBKWEFs1Cfe+65eOSRR1LoyH6j7PPJcbGv5xtvvJEem+dh9mhtYWxDGXpKpYmluAuFnZTm2L+zNsy+Gz5nVbwxYkHc1X1GXPr+pDj5tXFx5HOj4ldPDI+fPDw0LSXL8rUEnARDLId7/Mtj4pL3JqX9O18Z9uGSttXNsGS23NLcc42YuypeH74gru84Ne3z+IP7BsUnru5ZMZMzW3p028fs86zkf537/JxO8c+XdI0v3vDhfqJ/7jkzzSBlb8+WrNukpZWffSg/8MxKQ4PPVes3pxDxzZELc3/jmWkJ4lNzr4ujcq+LX+deFwfmXgfZ64KPvC5+k3td8De9+N1J6bVEaNp76rI0C7OmpY6LhZnLvA5fGDwvbu0yPc3YPCH3miAEZTbxAQ9VHC9l/9znP390WPoZr/er2k2OB3vPirdGLYyhs1fGotUbnd0pNaGq7135palmWTZ1INdYSjXwRG2/42IeV23P1VSvK0mSJElNy9BTJWXLli0pvGRvTmZ9smQtgeTs2bNTyEdhVifL4C5dujTNzGTpWO5T216ZPDahJo+7bNmyVAgICSX5Po/BbaricTdu3Jiei/sQgPL8BKgcV1Y4Lo6V5XA5Nh6bY2PZ3sZg6CmVFsLMQkFnVgg8SxFh5NqNW9JMvBlL10X/GSviteELUtDVpv2UuOCdiXHmX8bHGW+Mi7PfnJCCzhs/mBaP958TnSYsifEL16TZmzxGoSVteWvme9kSpO3HLY6r2k1JIdmON/eJ/7mqR3zskq4VnZDblhzNff6R5UizkvezyqVJ//7Cjy51e9rr49Iyp+xb2tpU7dDNL/UNPwmv+ZsRis9cti4GzVyRgvH7es6MazpMSYHiWdteF+Pj4tzr4oZO0+LRvrOjw/jFaTlbgsM1G7Oljhs3QeTROWaej9cje5P2nLIsnh88L27vOj2uaDs5znt7QuVreXyc+9aEuDz3vdu6TE8znXvkbssMYeoB/24ey9BTahq1hXRNFdC1lNCztlmzzTnDsS6BbLHU9nuQJEmS1DIZekplytBTKh01LWdL4eflgj0MWdqTcJI9Oh/tNzvu7zUzhV3MhHtqwNwUfvWcuixmLFuXwqaaEHhu2rw1LXs7ceHa9JjHvTQmLZfK3pzb9lXcFmQW7pz8SPlI8Jn7vPIx/r+reqTZqSybS1DXmjDzs+Dvqkpp6MxPQu2xC1ZHx/FL4qWh8+OxKq+LJwfMiddzr4vuU5bFtKXrYnMJJIZL1myMwbNWphD8ucHz4uG+s9NMYMrDfWbFs4Pmxtu5nzEzeMGqv17pQVLTKJXQE4WePyvlMDOwtuCW0twKHVN+KUYoW8rBryRJkqTGZegplSlDT6k0tKTAM7Nw9cY0U48wiBlw7JPZOVe6TloafaYtj2GzV6ZZcQSktSH8YqlZZt+xXOpj/ebE4U+PTHtxbtvD85zcxyz4rEvoSckPPlnuNvc47Au6132D4vpOU9Nxstwpz10KAVxTKbTEbdXCcrQNCT8Xr9kY4xasiYEzV6RZlPmvi97TlqVlYacsXlsys2z5u89ZsT697lj2tvvkpel4KXzO91hueeay9S1+OeRSRqBFUFM1pOBriktQtnylNMOy0PNnpdRfi3WZRdmUAXJ16nKc2xNKVn0vKVR8X5EkSZJaLkNPqUwZekrNr6b9Oymltn9nXa3buCXtv8nst7kr1qe9OilzcmXeyg1p2VKCLZYtrQ3L5xKOcl9CVGbZsSfkf13ZvSLwPIPQszLsrGvgScluT6kMPf/2gi7xzdv7p+VLXxgyL4VzHPeaOoSzLUldgk9KfYNPgkGWf11Yw+tixbpNdXpdNAWybv72zPicnzs+AtBtx5z7nO8R5K7K3aY1BeONpaagoVCAQfBRl3CCwu1KIaxR46jva6cxldKx1EddA09KoUEGFL5HaYpAsOpzFyoN+X0X+ndVLQ15XEmSJEnlw9BTKlOGnlLzqy70LNX9O5sDARhB2aRFa6LrxKVxa+dpaT/P/7g8L/RktmaBjsk6FUJPZozyOLmvWTb3yOdGxR3dZsS7YxalpXoJcFujuoSfDZnxKRVS6PWVlaohCl8Xul1NxdCz5Sr0985KU8/Iqyk0K+WwrK5hX6HvV1e4fWPVu7qEtJS6HgO3qeu/z/cSSZIkqWUz9JTKlKGnVBqqBp/luJwttneeW3X337BpS5oVOHjminht+Py47P1JsfefB8e/XNqtIqgsRujJTM/Kx/nsdb3joMeHx5XtJqd9HJldynK9rVlN4WdtGut1oZan0OsrK/nBVX2DFwr3UctV6G+elaYOPWsL5EtRQwYR1Kc0Vv2rz3Fn4WfVwJLHqM97SlO/niRJkiQ1PUNPqUwZekqlgSVsyz3wbExrN25Jszw7jF8c9/eaGSe/OjZ1UP7zJV0rZnpSijHTk8c574P41LW94icPD43z3p4QD/ednfYkZRnT1o7gk7088393hWZ5dpu0tPIzqe4IIvJfW1VLFlTUJ5zIL2rZCv3Ns9LUIVVtQVypqa3uFbNUDRyLoaHvCQ0pPJckSZKkls/QUypThp5S0yLQrG7ZWoLPct2/s7Gxn+eouavi1WHz47qOU+PI50bGN2/rVxF6ElYyS7MYoSePk/ua0HO/h4bEWX8Zn0LWrpOWxrwV6yuPRvmzPgvJfl4oEJWqU5fQs6HhRmMELSoddXntNKVyCj1r+901RmmMELq233kxSlOH55IkSZKaj6GnVKYMPaWmQZiZv4Stsznrh9Bz+JxV8eKQedGm/eQ4/JmR8fVb+8XHih16ppmeneMz1/aKAx8ZGhe8MzEe7Ts7ejrTs6BCMzrzA9GsGH6qLmoLLRoazjgzq+UrtdCz1I6nJk05SzK/NEa9bOh7RG2FYy2lv5kkSZKkxmfoKZUpQ0+p8eUvXZtfDD7rLs30nLcqXhu+IG7oNDWOem5UfOO2fvFPF3eNHc4q0vK22Z6e530Qn7++dxzy1Ij0XOwhOnT2yli8pnXv6VlXBX+/ucKyuIafqklDZmpxn0JhBN/Pwhy1fKUWMpba8VSntuNs7NIYMycb499UKn8vSZIkSU3H0FMqU4aeUuMi2CwUeGbF5Wzrhj09JyxcE23HLo57esyME14ZG7vdOaBipmex9vQkPD29Q3qcHW/qG8e9NCbN8uw+aWlMXrQ2Vq7bVHk0qk6hWZ5Vi8GnqlOfGWd1DUsaO6xorlly9S2NMauulNQWdDV1aFVqx1NIbcdYqGSDDAodf/5Ag/qUYv0ueJzGrI88drGOVZIkSVLpM/SUypShp9R4ags8nelZd+s3bYkZS9dFr6nL49lBc+P8tyfGXvcNin+7rFvFDM1izfQk9Mx9vcvt/ePcNyfEX0YsSHuJLli1IdZt3FJ5NKpJXYJPiuGnqir0OilUSil4MPQsDbwmCv27s9LUr5lSO55C6vPazcLOuuL2hR6nUCnGa7Mp62FdB1xIkiRJKm+GnlKZMvSUGkf+/p1VCz9zhmf9bNqyNZau3RSTFq2NLpOWxq1dpsfPHx0W/++K7tu3vC1hZyq5+/IYp3eIv72gc3z37oHRpv2U6DF5WcxbURF4bs4dg+rO8FP1Vej1UbWUQliUz9CzdrUFgPUp1Sm1kLHUjqequv5NeN1sz7HWtX5sT5DYkDrIfbJS6Oe1Fe4nSZIkqWUz9JTKlKGnVFzV7d+ZFQJP1d/WrRFkjixzO3XJ2nhhyLw4+vlR8Ymre8YOZ2/HTM8s8OS+PMYZHeIfL+oSP7p/cNzVfUaMnb86Nm427GwoAk328iz4u88r3SYtrbyHWqu6hDClGDQ0NDRp6tKcv7u6Bmx1KTUpdPusNPXsvNr+zdsTJBZDXV63xXrN1LWONER96h+3rel1wN+kqWeoSpIkSSpdhp5SmTL0lIrH5WybxobNW1JIdt5bE+Lrt/aLf7q4S0VwmXVGZrM38zonC5Ys8MzuWxmafvzqHnHIkyPimYFzY97KDZXPqu1R26xPqS5hQ3MHRYXUJ3RpztKcAU1rDD1rez03p7r8PYr9eqlLPanv36iuAWV9/y38fupar0vxPUmSJElScRh6SmXK0FMqjtpmeBp4Ftfoeavj3h4z47CnR8Q3busX/3NVj/j7C7vEDud0qtibk4+EmFmomV/4flbOqfj4Dxd1SUvlfvGG3rHPA4PjwncmRvtxi2Pl+s2Vz6hiKBR+Flre1pmfrU9tAUZTh1Z1VddwpLlLsUOs+jD0/OvSnGo7tsZ6rdSlrtRHoftXLdsTStb1dWvwKUmSJLVMhp5SmTL0lIqnupme7t9ZfMzA7DJxadzTY2bqwGUPzo9d0jV2OLV97HBi24qPLFdLAEphCVwKn/P9rJyRK7nv/+ul3WKX2/vHEc+OjKvbT4mXh85Pwer6TVsqn1HFlB9+FpIti1soEFXLVFsgUqrBgqFn7Zoq9Kzpb9HU//5SDj0LHU9+aay6VpfXQV3D6brUu2L8O4p5zJIkSZLKi6GnVKYMPaXiYs/OLOzkcwPPxsHenvNWbIjBs1amZWj/8MLo+N82PWOHk9vFDse9X/ExhZ6UyrCzauCZlfM+iE9f2yt+8+SIuLPbjBSmTly0Npau3RSb2UhUjYJAs1ComR+IUgw+W4f8v3mhovLVGkPPUjqWfLX9LRo7wKstrKzr8xe6b34pRuCZqcvrt5jPJ0mSJKk0GHpKZcrQU2oYwszqAk0CT5ezbRqr1m+OgTNWxHUdp8Ye9wyMf7q4a8XStud3Tp//I+Wirmn5WgpL4FL43r9c2i3+8/Ju8Zlre8Xefx4UF787KdqNXRxzV2yIjZsrwk4jz6ZXtTM5K4afLVuhv3lWnElV/giFilFqwuuk0OsnK02p0PNnpTlfz7X9jmr7HRdDoefNSl0C4dr+DY0RKhcrrJUkSZJUPgw9pTJl6CnVX7aMLTM51fxmLVsfb49aGJe9PzkOfWpE7PPAkNjz3kGx+90D0pK1O9/SN756c9/YMVf4+LVb+8Vudw6IH/55cPzysWHxxxdHx5XtJqclbcfOXx3rNrqkbXOpOsuzUDH8bHkIWgr9rbPSFEGMyl+phJ6l/HoudDz5pSnUFiDWZnvv3xC1/U0pkiRJkloWQ0+pTBl6SvVTdd9Og8/mt3rD5pi6ZG30mbY83hy5MB7qMzuu6TA1zvrL+PjjS2PiiGdGxiFPjYjfPDk8Dnt6RBz9/Kg4+bVxKSS9v9esdB/uO6lySVtXtG0+BJrs5VmoQzm/GHy2LIaeKpZCr5+sNNVsvHINPZvq97O94XSh+2SlMWZ5ZkolVJckSZLUNAw9pTJl6CnVDUvZ5u/XmV9cyrZ0rNm4OSYvXhsfTFwSTw+cG3d2n5GWvr2i7eS4vO2kaNN+StzSeVoKRgk7h81eGUvWbPzIMrZmns2vLjM+KYafLYNhgoql0OsnK40ZiOUr1ddzqYSxtf1+ajqO2v4NPHZjKZXfnyRJkqSmYegplSlDT6l2BJ6Fws6sONuztLAfJ8FnzynL4t0xi+KVYfPjucFz49lBc+PFIfPiLyMXRqcJS2LYnFWxeM3GynupFNU1/Ow2aWnlPVSOagpBmiqoUstQ09KnTfVaKvTcWWnMUK42pRLabc9xNGegXCq/P0mSJElNw9BTKlOGnlLNqi5nW7U4y7M0LVu7KaYtWZf26Bw+Z2UMnrUiBs9cEUNnr4xR81alpWznrdwQ6ze5f2c5qC38VHkr9DfNSnOGRCo/zRmKobZgzNCzfENPFHrOrPheJUmSJLUshp5SmTL0lKpn4Fm+mO25duOWWLV+c6xYtymWVxY+X5n7HvuAEnhu3upituWiuuDTJW7LX6G/a1ZKPUioaWZhKZXWNGO20L8/K439eqotlGuqYLGQ2sLGpqprhp6SJEmSyoGhp1SmDD2lwqrbv5PCz1jyVlLTqxp+FrLvg0MMQ8vE9gQgpcDQs/TU9Ddp7N9DoefML82t0DFlpalCu+0JLg09JUmSJDUVQ0+pTBl6Sh9FmFlb4Cmp+RFqFgo2q4aihp+lzdCzaUprCj1rC8Ya6zVV22u5FEKx5gyEM9sTXDbn+0U5/H0lSZIkFY+hp1SmDD2ljyL0LBR2UlzOVip9hTqjDT5L1/YEIKXA0LM0FfodZKWxfhfNFbbWR22v16ZQ6HmzUltw2JzBYzn8fSVJkiQVj6GnVKYMPaW/VmgvTwNPqfRVneVZtRh+lp6agoRyCOoMPUtTU4d7tYVxpfL7ry24a8zQEMUIDgvdL780lqZ+TUmSJElqXoaeUpky9JQKyw8+3b9TKg+1hZ5ZMfwsHTUFCY0dwBRDbUFIqZRSCd2aSm3hWrF/H7W9DkppFmCh48svjanQ8+WXuih0v/zSGL/rpn49SZIkSWp+hp5SmTL0VGuW7d9ZXahJ8GngKZWfuoSf+z44xPCzBBT622TF0LN4pTWGMk0VRNY2y5NSSmr7vTTWa6W2561rfa8tgKQUW6HnyC/l8F4lSZIkqX4MPaUyZeip1qrq3p2Gm1LL4qzP8lDob5KVUpodp/LTVOFYocfNL6X4Oi50nPml2MFnXf4Wdf091SVkLubx1xbWUiRJkiS1PIaeUpky9FRrVGjPTmZ8Smp56hJ+qnnUFl4Yemp71RZYbW841tiP31jqEuQV69jrEnjWd6ZkUx1/U/6eJEmSJJUWQ0+pTBl6qrUpFHhmhZ9JapmqCz+d6dl8agtDpO3VWLMCedy6BGLFCu6pK/mlGAodb9WyvYFeXX5HlPqqy9+Vsj3HX9djd3CGJEmS1DIZekplytBTrUW2f2ehsJNS096ekloGAk728szvsC7EILRpGHqqKRQ7vKpr4FascLK649/esK2u/w5Kff8ttdXt/NLQf0djPUd9Hnd7QlVJkiRJpc3QUypThp5qDaru31m1uLSt1Lpksz4LhZvZz6r7uYqnpjDKMEHFVNfgk9sVCvgIzZojDKvtuJsy+KTU9Pup7++IUuix6qPQY9ZUeL5CvzO+X99jL9bfWJIkSVJpMvSUypShp1q6mpazpbikraR8hTq3DT8bR6HfdVa2NwyRqir0Omussr1hJOoSwhWjntQWrDZWKUZoWN/QtpilGH9jSZIkSaXL0FMqU4aeaskMPCXVR/4sz6qFZXENP4ur0O85K4aeKramCsiKFYbVNYwshvrOctzeUsxZks0RfBp4SpIkSS2foadUpgw91VLVtH8nxf07JVVVqHO7ajH4LI7aggpDBTWGxg7Iivm6bcrQE439u8lKYwxoaKpj52/ie5MkSZLUOhh6SmXK0FMtVXX7eLp/p6Sa1DTbM78Yfm6f2kIKqTHVNVCsaynmzMVMXWZfNsbzFvt3k18aOzBszGNvjN+1JEmSpNJl6CmVKUNPtWRVl7d1OVtJdWX42bhqC3SkxlasJV0bY+Yi6jJ7sTGfu5gBYmMdZyF1+b3Vp/B7aOywVpIkSVLpMfSUypShp1qK6parzYJPA09J9UWgyV6ehTrC84vqr6bAyRlVakoNDT+5X2OHYTUFeE1RT7Y3/GzKsLMqjr2hf1uKYackSZLUuhl6SmXK0FMtQbZ/Z3XBpvt3th5bc2VL7n9btm6NzblPaircJvefVKuaZn0601NqGQjIKIRdhYI+vtcUQWdVVcO77DiaWn1+P6UWFma/w0LHnR17dvwUSZIkSTL0lMqUoafKGWFmFnhmxYCzdSPMXLtxSyxduynmr9wQc1asj7mpbIh5lV/PXl7x9dI1m2LDZlNP1V3V8JNZoIUYhEqSJEmSJJUvQ0+pTBl6qlwRbuaHnflFrdOWrZECzwWrNsaEhWtiyKyV0W/68lxZEQNnVhS+7jNteQyYsSLG526zYt2myntLdZeFn4XCzexnBKKGn5IkSZIkSeXHHmapTBl6qhxl+3RWV9y/s3Uh7Fy/aUssW7spzeIcMXdVdJ64NF4fviBeGDIvlZeHzo+Xh81Pnz87aG68lPv6gwlLYvKitbHR2Z5qgG6TllZ+9lH5M0GrC0YlSZIkSZJUugw9pTJl6KlyU1vg6fK2rQ+zO2ctWx9DZ62MTuOXxItD5se9PWbGtR2nxuVtJ6dyVfsp0SZX+PyS9ybFle2mxD2527w5cmEMzt1v+tJ1sWj1xjTzc13u8TalPT8rn0Cqo2yWZ6Fi+ClJkiRJklQeDD2lMmXoqXJSdf/O/MLPDDxbJ8LK3lOXx6N9Z8dl70+OE18ZG799ZmT84rFh8ZOHh6by00eGxc8erfh6/4eG5L4eGoc/PTJOe31cXNthSjySu2/bsYtixJxVae/P1Rs2pxmgWw0+VQ+Fws6qxfBTkiRJkiSptBl6SmXK0FPloKb9OykEnmqdNmzemvbvfGbg3BR2/uC+QbHjzX3iM9f1ik9e3TP+v6t6pPK/bXrGx3OFz/+n8mtus+PNfeN79wyMQ58aEVe1mxxvDF8QI+esivmVwedmp3uqHgg02cuzUNiZXww+JUmSJEmSSpehp1SmDD1V6ty/U1Vle3guX7sppi5eFx3GL4kr202Ove8fHP99ZfeKYOncD2KHc3LlrE6xw9lVSvY9bnPeB/HPl3SNL9/UJwWfN30wLd4dXTHjk+DT/T7VEDUtc5tfDD8lSZIkSZJKj6GnVKYMPVXqalrS1sCz9WG52TUbtsSMZeui3/QV8fLQ+XF9p6lx2NMjUnD5dxd2jh3O6hg7nJErZ1Z+rK7wc8o5neI/Lu8Wu93ZP45+flRc33FqvD58QYydvzo2bNpS+cxS/dU1/JQkSZIkSVLpMPSUypShp0pddUvbun9n68J8SwozLxeu2hh9py2PB3vPilNeG5f26dzplr7x/66onOWZzehkpuc5fKyhVM74/MeLu6blb3e5vV/8+onhcU2HKdFt0tJYu/GvQ0/nfqq+ago/ne0pSZIkSZJUWgw9pTJl6KlykB98un9n68QMT/bXZJbntCXr4s2RC+PsNyfEd+8ekPbp/NjFXePvLuxSESSdx7K1fx0uFSyVt/3bCzqn+//LpV3jyzf2iT+8MCpeGTY/Fq/ZWHkE0vYpFHyy/6ckSZIkSZJKi6GnVKYMPVVKWK62ulCTn7mcbevFPp4bNm9N+3iOm78mnhk4Ny1F+5lre1UEl+zTWblHZ51DT27DbbP7Vc4Q/ffLusUBDw+J+3rOTEvcuq+niik//Cw0yzP7uTNAJUmSJEmSmoehp1SmDD1VKgg0s9mchpuqilmeLDW7cNWGGDZ7ZTzcZ3Yc8uSI+J+reny4hyfL2aYgs7Jk4WZNJQs+KQSnZ3aMv7+oS+x+94C49P1J0X7c4pi8eG0sW7spNmx2f08VD8snF1L1NWr4KUmSJEmS1LQMPaUyZeipUsDszizwzIp7dirfpi1bY+W6TTFz6broM3V53N19RvzysWEV+3ieWRl6MmOzSmBU50L4yUzP3GP9zQWdY+db+sXxL4+NR/rOjm6Tl8akRWtj5frNlUcjNY78WaD5xeBTkiRJkiSp6Rh6SmXK0FPNiWCzUOCZFYNPZVhidtHqjWm52XZjF8f1HafG/g8NiX+7rFtF4FmM0JOZnjzOeR/EF27oHYc+PSJu/GBavD5iQQydvTKWuL+nGlF1gWd+MfyUJEmSJElqfIaeUpky9FRzIdAsFHRmpbq9PdU6rdu0JWYsXRe9pi5L+3me99aE2PPeQfEvlxQx9GSmZ+XjfPraXvGzR4fFxe9NiicHzIk+05bHglUbKo9Gahx1CT4php+SJEmSJEmNx9BTKlOGnmoO+ft3Firu6amq1mzYHOMWrI53Ri2M27tOjz++ODp2vaN//PMlXbftxVms5W35/FPX9EozSc9+c3w82HtWWuJ23kpDTzWNuoSf+z44xPBTkiRJkiSpERh6SmXK0FNNrbbA0yVtVcjqDZtjxJxV8dLQeXF1+ynx22dGxtdv61cRehJWEnwWI/TkcXJfM9MzCz0fIPScZOippuWsT0mSJEmSpOZh6CmVKUNPNaWa9u/kZwaeqk4KPeeuipeHzo+rO3wYen7s4sqZnsUKPStnen72ul7xi8eGxWXvT4qnB86JftOXx0KXt1UzqC38NPSUJEmSJEkqLkNPqUwZeqqpFAo6s+L+naoNy9uOmb863hy5MG7pMi3+8MLo2OX2/vFPhJ4ElcVY3pbg9PQO6XG+eEOfOPLZUXFnt+nx3phFMXreqli2dlPl0UhNr1D4aeApSZIkSZJUfIaeUpky9FRTqW6Wp/t3qi7WbtwSkxevjQ8mLImH+syO014fF9+9e2DF8rZFCz1zj0Hoed4HsfMtfeOU18bFc4PmRv/py2PmsnVptqnUnAg52csze92y7HJV3MYwVJIkSZIkqeEMPaUyZeipplQ1+DTwVF2t37Ql5q5YH4NnrYzXRyyIK9pOjn0eGBL/cXn3ihmaRQw9/+aCzrHbnQPi4ncnRbuxi2PSojVplueG3DFIpaCmYDP/dW34KUmSJEmSVH+GnlKZMvRUU2LPzizwdP9O1cfmLVvTErfzVm6IQTNXxgO9Z8XBTw6P/7myR0VY2dDQk7CTwn15jNM7xN9d2Dn2uHdg3NhpWgycsSKWr92Unn/r1sqDkUoUIWeh17nhpyRJkiRJUt0ZekplytBTxUaYyYzO6vbpNOzU9lq0emO8PWphnPDKmPjs9b3ScrRpticfCXkIMauEPtUW7kPgmT3GWR3jXy/tGj95eEg82HtWTF28tvJZpdJWXeCZFZbFNfyUJEmSJEmqnaGnVKYMPVVM+TM5Xb5WjWnAjBVxVbvJsee9A+N/ruoR/3BRl/jbCzpXBJ4pxPxo4FOwpFmeFbflvn9/YZf410u7xVdu6hPHvDA6Xhk2P5as2Vj5jFJpY3/Pgq/zKsXgU5IkSZIkqWaGnlKZMvRUsRBw5geeBp9qTJMXr43nB8+LM/8yPvZ/aEh84Ybe8Y8XdalYova0DhUfz+4UO5zzQYHC93OFn1fe5p8u7hqfubZXfP+egXHUc6Piti7To9fUZWlJXamc1DbjMyuGn5IkSZIkSYUZekplytBTxcBStoUCz6xIxbZ0zaYYNntVvDZ8QVzTYUoc+PDQ+LfLusUOJ7eLHY5/v+LjGZV7fVLS0rW5wud8f1vpkALQ/7qye+z150Fx9psT4tG+s6PrpKUxfem62LDZjTxVngw/JUmSJEmSGsYebalMGXpqe2T7dxYKOin8zD081Rg2bdkaqzdsjhlL10XbsYvTjM8v3NAndji9Q+xwYtuK2Z4FZ3pWzu7MfnZuxSzPr97SN457aUw8O3BujJq7Ohav3hjrNm2J3NNIZYtAk708C4WdWTH0lCRJkiRJ+ihDT6lMGXqqoaru31m1EHhKjW3j5q0xdv6aeKDXrPjNkyPiSzf2SXt8/n+58omre8b/tukR/3Nlj/jvXGE2539dkSu5zz/epmd85rpeaf/O7949IH77zMi0pG3vqctj2dpNlY8utQzVzfo08JQkSZIkSfprhp5SmTL0VENUt39nVtzHU01p0eqN0Wfa8nis7+y4ou3kOPnVcfG7Z0fFQY8PT/t9/vDPg2KPewemsue9g+JH9w+Onz4yLI54dmSc/sb4uK7j1Hii/5y0pC0zRwlSpZaoavjZLfear4rbGIZKkiRJkqTWzNBTKlOGnqqv2gJPl7NVU9uwaUuanTlz2boYMWdVdBi/OIWYN3SaFhe+MzFOe31cnPDK2Dj+5TFx8mtj076dV7abEvf1nBlvj1oYQ2atjBm5+y5dszHWbnRJW7V8NQWbWSDKsriGn5IkSZIkqTUy9JTKlKGn6qOmJW3dv1OlYsmajTFo1sp4c+TCeHLAnBRu3t51etyWK3d1nxEP950dLw2dn2Z2Tl2yNu0PKumvZ4JSDD4lSZIkSVJrY+gplSlDT9VXoZme7t+pUjNnxfoYPmdV9JyyLDqOXxLvj10U749ZFO3HLU5h54AZK2LiorWxav3myntIrVuhwDO/GH5KkiRJkqTWwtBTKlOGnmoIQs4s8HT/TpWi1Rs2x4JVG2LW8vUxbcm6mLJ4bUzOFWZ2spTtvBUb0pK47t8pVagt9MyK4ackSZIkSWrpDD2lMmXoqZoQaFa3ZC3Bp4GnShUr1m7O/Y/C8rX5Jft+7r/YauYpbUOgyV6ehcLO/GLwKUmSJEmSWjJDT6lMGXqqOtlsTpeulaTWxVmfkiRJkiSpNTP0lMqUoaeqYmZn/vK1Bp+S1DrVJfw0+JQkSZIkSS2NoadUpgw9lY/AMz/szC8uZStJrVN14aeBpyRJkiRJaokMPaUyZeipDKFmobAzK4aeklo69njdkvsfe79u3Lw1NmzeEhs25QofK8v63NcUfs7esK1lW9hCwWch3SYtrfxMkiRJkiSpPBl6SmXK0FOoupxt1cIMUElq6bZsjRRoLlu7Keau2BAzl62LGUvXpY+zlq1PH6fnvqbw81XrN1fes/XIws/qZnlmgaizQCVJkiRJUrky9JTKlKFn61Zo/878ws8MPCW1BgSe6zZticWrN8akRWtj0MyV0XPqsugxZVn62Hva8vSx2+Sl0X3yshg0a2XMXr6+1cz0rItCs0ENPyVJkiRJUrkx9JTKlKFn61XT/p0UAk9JaukILbPZnYSYo+atjq6TlsZrwxfEUwPnxhMD5sTTuY/PDpqbPj7Wb0480X9O+nn/GStiwaoNFQ/UyhUKPLNi8ClJkiRJksqJoadUpgw9Wyf375SkCuzNOW/lhhg2e2W0G7s4nhs0L+7qNiOubDclzn97Ypz71oT08cJ3J6aPZ785Ic7JfY+fP9RnVrw/ZlEMmbUypixeG/Nzj7Ni3aYUoqb9PlvRNNBCYWfVYvgpSZIkSZLKgaGnVKYMPVunmmZ5GnhKak3WbNgSw+esSjM5L3t/UvzppTFx8JPD44CHhsbefx4ce903KPa+f3D8+IHB6eMPcl/zPX5++DMj47TXx8V1HafGUwPmRLdJS2PyorWxdM3GtFQuwWdrUtNsz/xi+ClJkiRJkkqZoadUpgw9W6+qsz3dv1NSa7NlS8ScFRvi3dGL4oK3J6ZQ84s39o6Pt+kR/31lj/j3y7rFv+XKf1zePf4zV/jI13z/v67sHp+8umd8+aY+8YP7Bqaw9L6eM6P7pKUxpTL4ZMZna1SX8HPfB4cYfkqSJEmSpJJk6CmVKUPP1qG6MDMLPt2/U1JrwdxLZmGyh+e0Jeui55RlcVf3GXHwE8PjU9f2jL+5oHPscHaninJWx9jhzFzh41l8nSt8TeHn5+TK+Z1TALrHvQPjjDfGx+P9Zm+b8bly/eaKJ22F6jrrk9+VJEmSJElSKTH0lMqUoWfLlwWb1QWfzu6U1Jow+3Luig0xcMaKeHXY/Li587Q45oXR8a07+se/XtqtIszMgs0zKkv2daHvndUx/v7CLvG563vFfg8OidNfH1cx43Py0li0emPls7ZeNYWfzvSUJEmSJEmlyNBTKlOGni1b1SVsDTgltVZbt0Zs3hKxfN3mGDV3ddrD85w3J8RPHxkaX7+1X/x/V/WIf7ioS+xw7gcVMzjTx7zC1/nfy/uc2aEsefvZ63rF9+8ZGMe9PCaeHTg3pi9dV/nsKhR+FuLMT0mSJEmS1NwMPaUyZejZcrFkbX7gSXEZW0mt1eatW2P9pq0xf+WGtKTt9Z2mxgEPDUn7cv7jRV3ib1nWljDuvA8qSpWArmA5j/LhbXkMlrr94Z8HxU0fTIsRc1ZVPrtA8MlenvyuCs3yJPCs7meSJEmSJElNxdBTKlOGni0PszkLBZ5ZYfanJLUm7OO5afPWWL1hc8xYui7aj1scF74zMXa9o3/83YWdK/bsZFlbAkxmcBJmVgaZNRZul26fK8wO5XFy39/plr5pFmmH8YvTErfMMs2OQxXhZyFVZ4MafkqSJEmSpOZg6CmVKUPPloXAs1DQmRUDT0mtEWEje3kuW7spJi5cE2+OXBhnvDE+hZMpsDy9Q+xwFqFnZZBZn9AzK4Se7PWZ+/jpa3vFUc+Nisf6zYmBM1fE7OXrY9WGzWm2qQqrGnjmF8NPSZIkSZLUlAw9pTJl6NlyVN2/s2ox8JTUWpE1rtmwOS1tO3z2ynhx8Lw48ZWx8ZWb+lTM1CT0ZKZngcCtzoX9Pc+smDHK/qA/e3RYXNNharwxYmEMzT0nz71pi6FndQr+TvMKy+IafkqSJEmSpKZg6CmVKUPPlqG2wJMZoJLUWhF6Ll+3KaYsXhvdJy+NB3vPSjMxP3dd74qwM5vpWSBsq3Mh9GSmZ+5x/vPy7rH3nwfHOW9NiEf7zY5uuedkWd2Nmw09q1PTTM/8YvApSZIkSZIam6GnVKYMPctbbft38jMDT0mtHRMsF6zaEENmrYzXhs2PaztMiYMeHxb/d02vitCTsLJYMz3P6hT/flm3+O7dA+OEV8bGHd1mxPtjF8WkRWtjw+YtlUek6hh+SpIkSZKk5mboKZUpQ8/yVlvgKUmqCD1nLVsXXSdVzPI8+83xsc8Dg+PjbXpWLG9LWMmenAXCtToXHofZomdXhJ7fvmtAHPPC6Ljxg6lpD9HxC9fEhk2GnnVV1/CzW+5vKkmSJEmSVEyGnlKZMvQsb8ziLBR4un+nJH1oy9atMW3pumg/bnHc2W16nPTq2NjrvkFp781tYSUzNQuEanUu2x6nU/zH5d1j97sGxLEvjo6bO0+Lt0YtjAkL18R6Q896IfhkL8+Cv+9ccbanJEmSJElqDIaeUpky9Cx/VffzNPCUpI8i9Jy+dF10HL847u4+I055bVzs9efK0DNblnZ7Z3pmj3N2xZ6eP7hvUJz++ri4v9fM6DRhSUxd4vK2DVXdrE9JkiRJkqTGYOgplSlDz/JSXaDJ992/U5IKY3nb2cvXR/fJS+ORvrPj3LcmpBmE/8vytoSdRdnTs/JxzuwY/++K7nHAQ0PjynaT49Vh82PQzBUxb8WG2MSBqMHyw89CszxZ6ra6n0mSJEmSJNWVoadUpgw9y0P+MrbO5JSk+tm6NWL+qg0pfHx52Py4usOU+OVjw+L/rulVMUOzWKHn6R1ih7M6xv+26RGHPDki7uk+IwVxkxetjWVrN8VmQ8+iqC7UzA9FCbUNPyVJkiRJUkMYekplytCz9FVdvpbijE5JqjtCz+XrNsWkRWuj66Sl8UDvWXH086Piizf0qdiLs3JZ2o+EmPUtWeiZe5xPXdsrjnlhdDw7aG6MmrsqFq/eGOs2bUnL7Kpx5Aee+cXgU5IkSZIk1Zehp1SmDD1LW6HAMyuSpLohaty4eWusWL85pixeG++OXhTnvDkhvn5rv9jhvO2Y6XleVnKPwf0rQ8/P39A7Tnt9XLw/ZlEsWLlh2wxPI8/GU/Dvk1cMPyVJkiRJUl3Z+y6VKUPP0sUenYXCzqw421OS6o99NYfPWRU3fTAtfnDfoPjYJV0rZmky45OALAsyq4RmBQu3436EniyTe1an+LsLO8c3b+8Xl70/KfpNX+4+nk2kupmeVYvhpyRJkiRJqo2hp1SmDD1LD2FmTYEnP5MkNdycFevj6YFz43fPjoyv3NQn/uPybvEPF3WJvyEYI8RMQeZfB2YfKdkMz1z5mws6p/v/22Xd4vPX946fPzos7ukxI8YtWF35jGoKBJrs5Vnw75VXDD4lSZIkSVJNDD2lMmXoWVoIPAsFnVlhuVtJUt0Vmme5Yt2m6DF5WdzRdXoc++Lo+P49A+O/r+xRsUTtqe1jh9M6xA5nVS55S2EmaFay71HOqvhI6Pnxq3vG7ncPiCOeHRlXt58S741ZFHNXrK98RjUlZ31KkiRJkqTtYegplSlDz9JR0/6dFANPSSqO9Zu2xMxl66L31OXx1IC5cfKr42LHm/pW7O153PuxwwltK4LPM3NfUwhACTj5nNtQ0ucV4eg/Xdw1vnV7/zjhlbHxYO9Z8cGEJTFx0ZpYuX5z5TOqOdQWfhp6SpIkSZKkQgw9pTJl6Fkaags83b9TkoqHbTbZa3PFus0xcu7q+HPPWbH/Q0Pj7y/sEjucwkzPXGEmZ+XytdsKy96yd2fe8rf/eHGX+Ox1veLXTwyPe7rPjIEzVsSiVRtTsLrZ/TxLQnXhpyRJkiRJUiGGnlKZMvQsDdXt4cn3DTwlqfEsXr0x2o9dHBe+MzF+dP/gtMfn567vHZ+/oXd89rre8alresUnr+4Zn8grn762V3zpxj7xjdv6xQ/uGxSHPjUi2rSfEm3HLI45KzbEVrPOklM1+Cw0y5PvOftTkiRJkiQZekplytCzdBQKPCVJjYsZmRMXrY22YxfH/b1mxVXtpsTpb4yP3z8/Og5+ckQc+MjQ2PfBIfHjBwbHPrlywEND46DHh8fRz4+Ks9+cEDd9MC2eGjCnYknbhWtizQaXtC1lWfhZSH4wavgpSZIkSVLrZegplSlDz9LBjM4s8HT/TklqGlu2bk3B5/J1m2L28vUxfM6qeHf0orQ353Udp8ZF706Ms/4yPk5/Y1ycmft4wTsT4+oOU+K+njPjzZELY8islTFnxfq0f+cGl7QtW/mBZ34x/JQkSZIkqfUx9JTKlKFn0yPQrG4WJz8z8JSk5rN569aYumRtdJu8NF4dviCe6D8n7u81M+7tOTP+nPv4WL/Z8dLQ+dFx/JIYt2BNrN24pfKeKmeFAs+sGHxKkiRJktS6GHpKZcrQs2nl791puClJpYlZm5MXr02zOHtNXRZdJi1Ny9d2mbgkek5ZFoNmrkiB5+I1GyvvoXLWLff3LRR2Vi2Gn5IkSZIktQ6GnlKZMvRsGixdmx94GnxKUunauHlrrFi3KRat3hjzVm5Iy97OyhU+zl2xPhau2hDL1m6KdZuc5dmSVLfEbdVi+ClJkiRJUstm6CmVKUPPplEo8MwKgagkSSoNdQk/DT4lSZIkSWq5DD2lMmXo2TQINgsFns70lKTSsLXyY0Nt7/1VWmoLPiVJkiRJUstl6CmVKUPPplM1+HSGpyRJpa1Q+OksT0mSJEmSWjZDT6lMGXo2LWZ2stStgackSeUjP/yUJEmSJEktm6GnVKYMPSVJkmpH8Nlt0tLKryRJkiRJUktl6CmVKUNPSZIkSZIkSZKkCoaeUpky9JQkSZIkSZIkSapg6CmVKUNPSZIkSZIkSZKkCoaeUpky9JQkSZIkSZIkSapg6CmVKUNPqTxs3bq18rOa1fV2kppWXeqm9VcqHba7Unmz3ZXKm3VYKi/WWbVEhp5SmTL0lCRJkiRJkiRJqmDoKdXB5s2bY8OGDbF69epYsmRJzJkzJ6ZMmRITJkyI8ePHpzJp0qSYMWNGLFy4MFasWBHr1q2LTZs2NdpoGENPqbzwXsD7yKpVq2L58uWprq5fvz62bNlSeQtJpYy6SttO3aUOc06wcePGyp9KKjXUWdrZrM7S/tIOO1JdKg9cg69duzZdW1OH16xZk66vJZUHzpM5X86ufTmP9tpXKl20sbS1tLsU2mDbXZUrQ0+pDjg5W7x4cUyePDn69u0br732Wgocb7rpprj22mvj+uuvjzvuuCOefvrp6NSpU4wePTrmzp2bOle4WGsMhp5SeeFkkfeRiRMnxvDhw2PcuHExf/781AErqfRxLsCgpzFjxsSIESPS4Kdly5YZoEglis7WBQsWpMGJtLsMVly0aJGdN1KZoOOVa95Ro0bFyJEjY9q0aakTVlLp4/x46dKl6XyZ82bOnzmP5nxaUmmiP3n69OmpzaXtnTlzZhq4IJUjQ0+pFoxEo1OToKJHjx7x5JNPxvnnnx8HHXRQ7LHHHrHrrrvG7rvvHvvuu28cd9xxKfx8//33U+fKvHnz0gjzxmDoKZUXwk0u+rp06RJvvPFGdOzYMQWfdOhIKn2MUqdtp43/y1/+Ej179kxtsSPWpdLE6HQCT9pb2t3OnTunAYyNdW4uqbgYLDh48OB455134q233kqDj7m+llT6GPxPYEIfGufNbdu2TUGKAxek0sWg/P79+6c2l7Z30KBBqS2WypGhp1QLOkY4WevTp0+89NJLaVYnASNB5+c///n4xCc+EZ/61Kdi5513jp/+9Kdx7rnnxiOPPJI6WMaOHZsC08Zg6CmVFzpfhw4dGs8++2zcfvvt8fjjj6fOGy/8pPLADLGuXbvGQw89FHfeeWdqcxm40FgrOkjaPpwT9+vXLw1YpN195plnYsiQIak9llT6mBXWvn37dM179913p05YBhBKKn2sqkB/2CuvvJImBnD+3K1bNwMUqYSxogJh5z333BP33XdftGvXLmbPnl35U6m8GHpKNWD2Bnt40kHy8ssvx6233hoXXHBBHH/88XHEEUfEwQcfnGZ8/upXv4rDDjss/vCHP8Tpp58ebdq0ScEnI8rZ57Mxlq809JTKC8uCcKHHstinnHJKep9gxCvvMZJKHxd8tLMXX3xxnHbaaelicODAgS6VKZUoltUjMLn66qtTu3vDDTekgQtsPyGp9BFwMljwvPPOizPPPDMefvjhNFNMUumjD2zAgAFx1113pfPmSy65JF5//fW0DZSk0sRAhUcffTTOOuusNKGHLdwmTZpU+VOpvBh6SgWw/wCBJ8tOsp45wcQtt9wSZ5xxRrrgovOEwPGJJ56Ip556Ko0g5yKMMIOLspNOOimd1DGinKXwmO1JpyiPW6y9vww9pfLCjE5GzTEwgnrLctgvvvhi2m9MUulj5Cuj1Glvf/azn6V2noEM7BsoqfQwO5tVWhiseMABB8Spp54ab7/9dlqqWlLpYw9AVlY45JBD4pe//GVcc801KURxL22p9LFiGtu6XHjhhWlFtCOPPDKFKfSvSSpNLCnP6oZM7vnNb34Tt912W9rbUypHhp5SASxVx9JXdJYwmpQRpoxyYXYno9SYxck651OnTk3L7rD87ejRo9NeBVdccUU6ofvTn/6UltKiQ5SAklHldIwaekqtE4Mf6Hz97W9/G1/72tfiF7/4RXovcbSrVB7Y25sVH3784x/HLrvsEieccEIaFNUYqzlI2n7sS0QHKx03tLusyvLCCy802tYTkoqLwcNXXnll7LHHHrHbbrvF2WefnfYHNPSUSt+6devSPvgM9P3mN78Z++67b1rmlr21JZUmtnU7//zz49vf/nZ873vfi8svvzytfCiVI0NPqQA6MOkQYVYHb/rM7GB0OJ0lXGwRXLDcDidy4MKLJSp79uyZZoQee+yx8cc//jFuvPHGdKLHEgHM5mLmKDNIi8HQUyovLLP33HPPpc5X9gPmwu/+++9PAycklb7x48enka9cAH7pS19KS9q/++67hp5SiZo3b148+OCDsf/++8fnPve5NFOMVVhojyWVPjpaWVL+W9/6VrreZZlqlqg29JRKH31lrK5w1FFHxRe/+MX4/ve/n1ZGYxChpNJEnzYrk+20005psALbu7Gdi1SODD2lAggnCSIYXcpeQPfee29a2vaYY46Jyy67LN566620t1f+BRfLd3D7xx57LDUM55xzTgpA2begb9++aR10glRDT6l1ov4TerIH8Be+8IXYb7/9DD2lMpKFnnTafPnLXzb0lEpcFnqytC2DjQw9pfJC6MlS8rvuumvqgDX0lMpHFnoeffTRabAgM7YNPaXSRuhJ3/fOO++cVjZieWpDT5UrQ0+pAIJDQkre8F977bW0lwhBJm/+nKgRhLIkZf4FF3t2cgLHErcsf3fttdemTdsJObj9sGHD0jJbLJ1bDIaeUnkh9GRZPfYl2nHHHePAAw9Ms8hd3lYqDxMmTEjnAHvttVe6EGQZe1ZzMPSUShOhJ3vuswfvV77ylTj44IPTebmhp1Qehg4dmpbW23333dOME67Fu3fvbugplQFCTwYHMnGAQQs//OEPUz8Z/WySSlPv3r3T6oYEnixxy8Aj9vmUypGhp1QA4QSbNbNX11NPPZVmbPJmf9FFF8U999yTRpguXLiw8tYfmjFjRgo4H3jggXRCR1jKXkIEpzQeBJWEo8WQhZ6MXs8PPdk7VFLpWb58ebz44otx6KGHpjpLJyydsXTKSip9DGy6+eabU6fN17/+9bRHEecJ7NctqfSwtQTn4eyhTbvLoCP39JTKB6soXXHFFWlZeTpgzzzzzLSnp6TSx0po7733Xtr2iX21f/SjH8Vtt93mnp5SCWN7t3PPPTctK/+d73zH0FNlzdBTKoD9OQcNGpSWpiXAZDk7lrW98sorU0hBgFlolPjMmTOjQ4cOaSktglIKS+M+/fTT0blz57RHaLFCT56Lx2aJTEavH3nkkfHmm28W7fElFRezwXhPOfzww1Pn689//vN44okn7HyVygTt7u233x577713Cj1PPPHE+OCDDyp/KqnUrFixIg1eZFlb2l325meAIB2xkkrfuHHj4uqrr06hJx2wbB/Tv3//yp9KKnUdO3ZMgwQJPX/84x+nldDYJkpSaaIf/Pzzz08DjXbbbbc08YfvSeXI0FMqYNGiRWmEy7PPPht33HFHuthilCnhJ50nAwYMSB0pVU2fPj3atWuXZmDecMMNaYlbgk+WsGQ2CEt5FGtGCJ2vzDrdZ5990t5ihJ4sHyKpNLEUFwMTfvvb36bOV2aeMCBi9erVlbeQVMqYlU1nDSPVCT1POumk6NatW+VPJZWatWvXpnP5gw46KLW7DDp64403ira/vqTGxbUz19PspU3oed555znjRCojXbp0ieOPP35b6MmgfVZhkFSa2JaNrd1YUp52lz09DT1Vrgw9pQI4EWPpnMcffzwtZdemTZsUfDLDg+Up2V+k6jKyBBrM5CT0vP/++1NAetVVV8V1112Xwkk2cWc/sGKFnoWWt2UZXQMUqTQxUOKll15KM02osy5vK5UXOl8ZyJTN9GTkOm2+KyxIpam65W1Zbl5S6Su0vG3Pnj0rfyqplLHKEXvf5y9vS3/alClTKm8hqdS4vK1aEkNPqYD58+enfTsfeeSRuPHGG+Oaa66Jm266KYWZzNQaPXp0rFmzpvLWFQg92dOTpe4ee+yxtF8BI1MpzAz5y1/+EuPHjy9a6MmyIHTkHHzwwekikFHs7CPKcY8cOTIVRuSwBJDFYmmeQh1kf2DqI0tcMxhi//33jy984Qux1157xaWXXpouBkeMGJHeV4YMGVLwcSwWS/MUBjlRN/nIwKIzzjgjvv3tb6cVFn7961/H3XffnZa85zbU84EDBxZ8HIvF0jSFdpT6SLvKoITLL7887cNLu7vvvvum83LO1amvtM905BR6HIvF0vSF1ZSYZUId5hz6+eefTwOMvvGNb6SBC0cccUQaMNivX79t9Zz7FHosi8XS9IXzYNpX6icDFOgHo5/qS1/6UgpQzj777LTiQlbPOb8u9DgWi6VpCm0oA4w4J+brJ598Mo499th0vctABfrCqa9SOTL0lArIDz0JOwk+6dhkadv27dun8JIls/IRes6ZMyd69eqVZoMSkDIjhGVus9CTfUmKFXoyO4zR6n/6059ijz32SDNPmO3JqBxG41BYioClCSwWS/MU9kBgP2AKo9N/9atfpZGun/jEJ9JevMz2PPXUU1P4yW0uvvjigo9jsViap1AnCU34yB6eLClPePLJT34ydt1117RcJsvtUX+px7a7FkvzFupqVh9PO+20+OlPfxo77rhjand33nnn1PlKe5y1zbTThR7HYrE0T+EalnaXuskMMQYJfvazn41PfepT8d3vfjeOOuqodDtuY7trsZRWoT5m17X0S7HCETPGOG/m/Hm//fZL20Nk9dxrX4ul+Qv1kDrJ57S7rCbIsvIM8KUvmwEKUjky9JQKyA89CS6Ztcm+nC+//HL6/uTJk2PdunWVt65A6Mn9GN321ltvpREyBKUsj8vHYs/0XLhwYdrDkwaKDpw999wzjZ5jRA4dsRQ2nuZri8XSfIV6SaFO7rTTTvG5z30uddzwkVHr2dIhWf21WCylU/LrJqsqEJ5kna903jCIgbbWOmyxlE7J6iPta9V2l69pj62zFktplvy6yZ5irKzw6U9/OhVmi7G8fNXbWSyW0ilZ3eT8mMFGnC9Tfzl/5jya82nrr8VSGoV6mvUf8zX1ksCT1ckYoMDEn4kTJ1b2QkvlxdBTKiA/9GTJ2DvvvDMtWctSHCzTwd6dhUJPgkiW6GC5yueeey7uu+++dP8s9CzmTM9ly5alWaXs68mIdUbRsWzX7rvvni4QKVnwabFYmq/kn0SyJ9EPfvCDtNQeI9f5mu9ntyl0f4vF0rwlq5vZRSB1lzrMYCNmnWS3sQ5bLKVRsvqYtbtZnaX9td21WEq/ZHWTdpcVjai/WbvLtW52G+uwxVJ6Jb9ucp6cf+3LeTT1Ortd/v0sFkvzFAYisIw8n1NXmVRzwgknpFUL33vvvZg5c2ZlL7RUXgw9pQIKhZ5PPPFE2s+TvbumT59ebejJeufsIfT888+nQLKxQk/2FJ0wYUJ06tQpBaz33HNP2qeImZ8sJUI5//zz/2rpAovF0rSFekhhuR+W+rn66qvjuuuuS/sjZMt3ZbcpdH+LxdK8JaubtK9XXnllamupw23atNm2tJ512GIpnZLVR9pX2lnaW+os7S/tsHXWYindkl83q7a7V1111bYl+KzDFktplqxuZkvdcr5M/aUeX3HFFaleW38tltIpbNVyzjnnpM9pc2+//fZ4/PHH45133kn920uWLKnshZbKi6GnVECh0JM3fYJLZlfWNNOTRqFt27aNHnpu2rQpli9fHrNnz07LDbBh/ODBg9Pm03379k2lX79+FoulhArLX1NPhwwZkj7yNXW20G0tFktpFepqfh0eNGhQDBgwoOBtLRZL85eqddZ212Ipr0Jdpa2l/truWizlV6ivWR22DbZYSrPk9x9TX4cPH576rpnss3jx4li/fn1lL7RUXgw9pQKy0PPRRx9NoeUdd9yRAtDXXnstunfvHlOnTi0Yei5YsCCdzLHX5jPPPJNmX7InaGPs6SlJkiRJkiRJkqQKhp5SAfkzPW+++eZU2J+TZWRZTpaZlWvXrq28dQVCz7lz56bRMYSj3JdlAW666aa46667ijbTk+ehSJIkSZIkSZLUWOyLVrkx9JQKyA89b7zxxrQHATM+H3rooXj77bdjzJgxaU/NfLz5z5o1K7p16xZPP/10CjrZ+Jn7sjxuMUNPSZIkSZIkSZIak33RKjeGnlIBhJ6ElyxvS+jJ5utsvE54+corr6Q1zlevXl156wo0AKx53qFDh3jwwQc/cj+Wt33zzTdd3laSJEmSJEmSJKkRGHpKBSxcuDB69eoVTz31VNx2221xzTXXpMLnL774YgwdOrRg6Dlt2rRo27Zt/PnPf47rr78+rr766jTb8/7770/7fLIsrqGnJEmSJEmSJElScRl6SgUsWrQo7c350ksvpb082dOT8PKOO+5I32OmZ9XlbTFjxoxo3759PPDAA2kvz+w+jz/+eJoBOmXKlNi0aVPlrSVJkiRJkiRJklQMhp5SAUuWLEmzOd96660UWLI8LXt68vHll19OoefatWsrb/0hQs9seVtuf/vtt6fPmR3avXv39HNDT0mSJEmSJEmSpOIy9JQKWL58eYwZMyY6deqUZnYyc/OWW25Jy9s+++yzMXjw4Fi5cmXlrSts2bIlzeRkGdt77703zQ4lJGWJ3HfeeScGDBgQc+fOjc2bN1feQ5IkSZIkSZIkScVg6CkVwH6d7M/Zv3//FGIyW7NNmzZxySWXpECTWZvMBs3HXp0Epc8///y22zLTk5mh3bp1i7Fjx8bixYsNPSVJkiRJkiRJkorM0FMqYN26dbFw4cIYP358CiwffvjhOPfcc+NPf/pTXHHFFWnm5pw5c2Lr1q2V94hYtWpVCknvueeeOPnkk+Okk05K+3qyRO6wYcNi1qxZaXYoM0IlSZIkSZIkSZJUPIaeUgHsu0mIyXK0Q4YMiSeeeCLOPPPMOPzww+OMM86IZ555JkaPHp1me65ZsyaFmTNnzoz27dvHNddcE0ceeWQcc8wxKfRkiVyWvV22bFmsX7/+I0GpJEmSJEmSJEmStp+hp1QAszFZrnbFihUxceLEeP311+Pyyy+PY489Nk477bS0bO0bb7wRXbp0iZ49e6blbgk8H3300bj44ovT7U4//fS0LC6zPxcsWJBmj7K0raGnJEmSJEmSJElScRl6SjUg+Jw3b14KNlni9rLLLouzzz47zjrrrLTcbX4577zz0s+YEXr++efHrbfeGm+//XZMmDAh7RFq2ClJkiRJkiRJktQ4DD2lWhBYElx27NgxzeRkxifL1+69996xyy67xE477RRf+9rX4nvf+14cdNBBKfS888470+zQwYMHp71B3cdTkiRJkiRJkiSp8Rh6SrVgf0+Cy5EjR0bbtm3jnnvuieOOOy723HPP+PKXvxyf/vSn43Of+1wKQA8++OC48sor46WXXoq+ffvG9OnT056fkiRJkiRJkiRJajyGnlIdMNtz9uzZMXz48HjvvfdS8MmStn/605/iqKOOij/84Q9xyimnxHXXXRcvvPBC9OnTJyZPnhxLly5NS+RKkiRJkiRJkiSp8Rh6SnVAcLlq1ao043PKlClp2dquXbtGu3btUgj6/vvvp+VvCTvHjBkTc+bMieXLl8f69etd2laSJEmSJEmSJKmRGXpKdbR169YUYG7evDkteUsQStmwYcO2z/k+P+d23J4iSZIkSZIkSZKkxmXoKUmSJEmSJEmSJKmsGXpKkiRJkiRJkiRJKmuGnpIkSZIkSZIkSZLKmqGnJEmSJEmSJEmSpLJm6ClJkiRJkiRJkiSprBl6SiVo69atlZ9JkiRJkqS68Fpa+ijrhCSptTH0lCRJkiRJkiRJklTWDD2lEsaIvHXr1sXSpUtj9uzZMXHixBg2bFj07ds3evToEd26dYvu3bunr0eNGhWzZs2KlStXxsaNG2PLli2VjyKpPqh31CHq3bRp02LEiBExYMCA6N27d/Tq1St95Ovhw4fHhAkTUr1btmxZuk9joC6vX78+1e2FCxfG1KlTY+TIkdGvX790PD179kwfs8+zr/v06ZNuM3jw4Bg9enTMmDEjli9f3mjHKbV0mzZtSu8L1Hnq4cyZM2PBggWxYsWKWLt2bapbjqSXiof2j3q1Zs2aWLRoUapzkydPjunTp8fixYtT29gYdW7z5s3p/Ju6PX/+/JgyZUpq8znfzm9nC7W7/fv3jyFDhsTYsWPTewWPwXuHpJpRl6nT1HWueYcOHZrOYznvzs7Buf6l8PWgQYNizJgx6f2AtnjVqlWp7kqqHvVs9erV6ZqSa0PaKq4VqVNZ/aJN4+v8a8nx48fHvHnz0vluY/QzUXd5bK6peZ5JkyZt6/eqrt3NjpF2l/eLcePGxdy5c30vkOoh6/fK+phoW7O2l3pGfzPvC9Q1zoU5J+b9g3q2YcMGr31V0gw9pRLGCSUXfgQWXbp0iRdeeCFuv/32uPjii+P000+Pk046KU499dS46KKL4v7774/OnTunkIZwhA4WGyCp/qh31CEunN555524995748orr4zzzjsvzjrrrDj33HPT13fddVc8//zz8cEHH6Tb0rHZGPJPRDkJffvtt+O+++6Lyy67LB3PmWeeGWeffXYq+V+ff/756TY33HBDPPTQQ9GuXbvUicQJqu8NUv0RvFDXqfNvvfVWdOjQIdVJLv4IRqhbhhtS8VCfqFd0YtLR0r59+3jttdeibdu26WvaxsbofKUTh1CVgJXO1DfeeCO1+Zx/19TuXnDBBXH55ZfHjTfeGI899lg6L6ft5r3DdleqGXV5yZIladDAiy++GDfffHNceuml6fybc2/qGte/p512WpxzzjlxzTXXxCOPPBLvvfdeGozIoAhCU0nVo12lTaWe0ZY+8cQT6VqRekbdotCmUce4lrzkkktSm/bMM8+kAJLz3cY412WgEUEK16qELS+//HLcdtttceGFF6bjyW93s685Rn5+xRVXxC233BJPPfVUCmh4L+DxJNWOc1QGENHHRJ/yddddt63tpZ6dcsopqc+Zc9w77rgjnRMzEIJBE/R/NcZ5uFQshp5SCaPThc7Ujh07pos6TjoPP/zw2GOPPWKnnXaKL3zhC/HlL385vvvd78af/vSnePjhh1PnzJw5c9IIPjtfpbqjQzIbZUod6tq1axpk8Ic//CH22Wef2G233eIb3/hG+sjXRx55ZBpw8OCDD6ZZ11xANkanJhdtzPQmXCFo4aLumGOOiR/84Afxta99LXbeeefYZZdd4lvf+lZ885vfTMfI17wv/OhHP4pf//rX6QKW9wc6hRqrk1hq6ZhJQuDJoIPrr78+fXzzzTe3BZ901jqTWiqObAASsyUJOOmMueeee+Lqq69OHzk3pq1ujPaMDiA6czinJmSlA+iII46I733ve6nNpe2t2u7yOT//8Y9/HL/5zW9SZywdsMxUoVPI0FMqjLpBPebalbaUc10GDxx88MGx1157xXe+85107k1d4/r3q1/9auy6665x4IEHxsknn5yCkVdffTXN9GKWmKTqUc8YUE+bevfdd6fBBL/85S9TPaN+UbLrXb635557pp8TgL700kspHMlWMChmu0Z7zyAhAk8GPTDA+JBDDknHkLW7tLP57S7vA9///vdj3333jcMOOywFoNyXY+TfKal2XN8ySO/WW29Nfco///nPU9v77W9/O77+9a/HV77yldhxxx1j9913j9/+9rfpnJjgk+tf+qgcYKBSZugplTAu3GhMnn322WjTpk2ccMIJ8Ytf/CKd3NEAffGLX0yFkz9O9OiEpQOWkTd0EnmyJ9UdF29ccNGJSiclHShZpwsDDejgpHDx9cMf/jAOOuigOO644+Laa69NJ34sD8T9i90BS+crs02Y7U0HKoMfOCbq/Ze+9KVtnT+ciHJymn+Rut9++6ULRi5oH3300Rg4cKChp1QP1BUGIBFo0qHKiHhGvh5//PFpFCx1kqV/WPaLlRm4raTtQ71jOXaWt2Mpu7/85S8p6GSgETO9mOFFMEIw2RhL2NGWU6cJVmk76eylE4hzb9pdOoVpa6u2uwxG2n///dMARd4nmBlDYMvjGXpKhdFhmi1pyxJ6DNJjdgl1jvNv6llW1zgPzx+AyGAE6ifvD6xoQmhqB6xUGOeo9BExWJe2jRWBjj322DSAgMGyhImUrH2jXeMjoSLXvNSzTp06pVVPmJVZzFUM6PcijH3//ffjgQceSO8BP/nJT1LgSbvLR94D8ttdPiec4Xa/+93v0jUyM0S5JrcfTKoe/V7UXwJPtnKi3vB+QKhJ/xHns7wn0MdE3cvOe+mLpl+J9wLOw7k25r3A5aRVqgw9pRKTP9qV0W4sO8LMLmZq0cnK8gLZclonnXRSOlGl8H2W3WJmGsvgsg47jZjhhlQ3zPCkA5Wle+hg5YKL0DOrZyeeeOK25eu4EKM+cgHIqFJmYrOcTjbbq5j7jLG0HxeB77777rZj4rkZ6EBhRB6dq5yoUrjgo7DUD4Es7wlPPvlkmqFGeMp7i52vUt1QX6jXBC/PPfdcCl0YdPCzn/0szTBhpjd1n85alsM09JS2Hx0xBJ6cAzMThXpHffvjH/+YPjLKnDaRJewao6OFwJWwknMBZnTTptLWHnrooSnQZBBitoR81u4yCIKZKRzbnXfemQJPOpbZb5DzC9td6a+xOgL793HdSqcrHanM5qbOZ9e7nONyjUsd4yN1j5nUDIDgfJjzc26fnYtz/cwAP87FvQ5Wa0fbQxvEwIJsIBED6rlGpI5Rj/hIvaIe0Z7RrlHXsutd2r8zzjgjrrrqqvjzn/+cVkDIVhcr1nkv59AM9n/llVfScvJcb7OyEYN3GdzA9TjX3FwH57e7HBMD/3nvoA+MmaLMPnOpa6kwzpvpr2JGNDM8mR3NuTb1ijrPewJLylPHeB/gc75HfzP1kPNw2uCbbropDfwfNWpUejzeC2hzPd9VKTH0lEoMF3+MCM+Ws2QWCRd7Rx99dGps6HxhJCsXdYxAf/3119PME4JRbsd663S6cDLKia0dsFLd0MnJ/iYs3UNQyMUgnZcs9UHYSJ2iA5OLKeodew1xYshJH7dhZig/I/xgtGqxTvhYQojj4iKQE1L2VeG4eH4uPHleRsYz0o5OWj4y25v7MGOVE1GOieV3eW9x2Wup7rKlrpl5kgWejCyn/P73v09tMjM9CUbpZHV5W6l2NbWPdFTSXtExS3h41FFHpSVjmdVF5ycdr+wpxDkw58qNEXrSeUOHLvt20/lKh2rW7jLQgTCU9p42lnaX9pZ2N2uHGajEOThhDgOXHAEvFUYYw6xqOl3pYCVg4byaJWsJZliCkzaY+kg9o46xagnf4+cEIAxMZEAE1798j3NiHpMQxXNetXaEENQFZj+yahB1Les3YlAB7Rvfo95Qx0aOHJnaMeocfU5PP/10agcZjED4wbUvQSP3oa0r1oxKBuvT7vN8tPEcF4VjZUAD7wUMTObYCrW7BDici/M4DJyy3ZUK41o1m1zDYAFWFKT9ZG9f+pqog9T9rN3lI+8d2f72TMZh4D3tLm01s78ZWJ8NNjL0VCkx9JRKDBd/dJJwEkmHDg0LI1hZaoAOV0746ISlQSHAYAQ5+/QxopwRetyOEegPPfRQOgGks8WGR6oZdYSLJE7oqHNcCDKalDCTTk9mSRIccmFH3WNZH77PbEpGohKQEoqwvDT1kQ7bYl1sEaAyAp4BEBwPJ5fUb8JOOn04Lt43JG2/rL3kI3WPzhQ6UanrDD5iuR/2NWF5PUae33vvvamTZtq0aWnghKGn1DC0mdmgP8JEBvrQwcrSdexfz7KW7CtGJy31jtHpnA83RscmM2LoAH7sscdShysDoVgKkAFPDHKgvjuoUNp+nFcTslC/mEXCEpWcg9PpSkcr17mFlofme/ycDlo6Xrn+ZXAwAyXomOW8mfcS22S1doSe8+fPTwEhKyQ8/vjjKdzIZk2yGhDnugSF+bgffVIMwmcZS+oadYywg4EGXC9Tz4o10Jf2nOttBhbR7lKXOVaurfv06ZOW5XUQg7T9OH+dMGFC6ktiuwj6kBnIQN2jvtG20peVv1ICbTXBJpMAmBnOktIsdUv/NI/DewhtLn3P+feTmpuhp1RiuIhjdDidKnT4MKuLi0Au6Bjtxkyz/JNSwg46X955553UKXvkkUemJTfpEMqWuGVvEzqFinFCKrVEnPyxtC31iJGsDBygY5ULvPfeey91wDLzI0O9YlQbMy25cKRuMiqVi7MOHTqkk8JidYgyOpfOV4LObOYpF6jt27dPJ5jsoyCp4WgbuUBjQAOjVGlTGdnKwCM6XqnjzC5jWUsCGAJPZnqy7Nb999+fZnwxYpaOHztYpbrj3JQOEjpkGcDDoCFGnmf1jo5VZnmyfxd1j5medLYwMp3O0cYKPenopY1nJne2TDyDH/geAQ3vE5K2H9exnDMTqhB0MNuE1VUY1EBbzPtDdZjNyfkwM89ojwlkeN9gkCD3p112cIJaO85xuYZlpif9S1zrMlie68ps+xPCikI4L6Yecj+ucbk2/vWvf53Oh6lrrDzGNTHnvjzP9vQ1cR3Ofp6EqbS7fGQ2KQOSOXZWPpK0/aiv1DfqPoP76Ddm5UD6vDgPp85T96vi3Jf70E7zPkBhkBJtLn1VnMdzG0NPlRJDT6nEcFJKZyujbJg5xkkfjQmzybgIZOQNIWY+Qg/CUDplCEjpnKXx4nvZHoPcx9BT+ihOyhg1yoUUnSfsJ8SItWw5aQINLujokMnveMn2++LCkQvGbBkeZmEyWIElZauOmG0oOoM5wSSAZUQu+ydwscpFIM/DjBRJDcf7AB2jhJa8D3DRR2cL7S5L+NCusn8Jy9n+/Oc/j7333jt++tOfpraWi0VCT5e3leqPwIOZXNle2rS5DOCjvtEOM3uLzlVmVbPMLfuKsfQl9bOxlrflXJkZJXS+0qZzPIQx7BXG+QCdr4aeUnFwDp4fyHBuS6crgSXn2jXN7KJjllmdXCszK5w2m8GBzFahHWcmS6GOW6k1oU2jraW/iPaW1YoYzMsy0fQ5cf5a3eACzmm5Dh0xYkSazcUS1Mz0pE2mrnF9SnvJNS91taF9TbTjHAfnAVzn0u5ybc01NaupEKYYekrFQX2jfaV/ixngTJThvYA2k8GE1LVCwSWzPbktfVLs7ck5OfvqslIDAxbpG2MQRGMMRpQaytBTKjGcWDJShiCFzhZmnbHcAPsI0eHCSWrVMIWGiQvEbM8xCjPQmAnGiPRsqQFDT+mjOCnLLgQ5UWN2CbNIuJgj9CTQ4KKQE0Bul9UhTvoYIcfPWCoo66gllMzuw6zt7cUJJ/WXE0lmeLIUEReZ2Z5FdBJxcmmnjtRwdNRQv2l/aUsZYMSKCQcccEAKN//whz+kmSS8JxB8sq8nS/BdfPHF6T2DZbe4cKTj1tBTqjvOTTlPJbhgKTuCC4JO6t6BBx6Y6hlt8mWXXZbObZllwm0Y5Mc5bmOEnrwfEKYw84zBTDwvnbDs980ABzqFGGxkXZe2H+fV1GHOY7m+5fya9piBSHy/pmvXmTNnptVVuOYl+GT2CR/pkCU84RzZ82Op4nqS+kS7RZ1gMDz1jI9ZXauKusdtGeTDKmQMBGIpTAYgMSiJ9pH6R3tJXxSPUygoqQvuS9vK4GP6vmh36QdjKU1CFp6f4yh2ey+1VtmA3/z3Auo77xHVtb2csxOOMuubARCcj/OekO25y1LYrJRiPVUpMfSUSgyj5TiBZKYmJ33ZptKEKnTAcAFHo5SPhoplLlmWgI4hGiEu+Lg9J4p0xjKDpaEnolJLxYldtocYYQcj1U499dQ49NBDU8DBch3ZUnb5o82pg4SNY8aM2bbMLfshZMvu0TFKndtePGe27C4Xl5xcEnrS+UqwyoUmI/U8uZQajvcBLuR4H6DNZJYIM80OOuigFMAws4x2mAs7ZnfS4UMQSnvLrGtCTzpkCD25gJRUN7S/2f6ddHDSjrKdAwOP6FSlTc2Wj6ftYyYXq59w23bt2qVz5mK3f9RhzpvpbG3Tpk1qdwk9CWY51yZo4bhrCmMkNT72HGNv+2zvXa6bKQyKYFYaq6FUvWaWVDe0cdn5Me0e17u0x7TNnAczwIB2mPaS62QCk4b2NVFPuaZ+/vnn0wBizgWox1z/MsuU83MGREhqPtTBLPRk4G/WL8VkHQbocz7PAGL7pVRKDD2lEsKJIiEGJ3jM6mK5AGaP0blDoEkYSsdq1VGr+aEn92E2GPdnHwQuBjmJZF9AQ0/po+jc5EKNZbRYPofBBSzXwb5hhBvPPfdcWgaIC758+aEns02YoUJYyl6gzMqm3lHntrdTlItN3hMYsU5HDrNc2OeXAQ0sw8mxW6+l7cP7AIMHCFC4YKN+sZcfnTvUbWZW8z0+Ug9ZzocZn/kzPQ09pfqjA4V2lKUoOYdlljXtMB8ZfMDocb7PR0IN6hyhJ+e4dLA0RuhJ+86MEwYX0fnKoIcsZKVz1yX2pNJA5ypL4jJAkYCEgUkMVOC9gvrLoEVDT6lhuIalfaWfiRWPWHqaAYAEnkceeWSqb8z+zGZhUtcaek3KLG8GKXBOnYUpDCKuy96+kpoG9ZCt1pick23/wrUyM7QZ8J+9F9g3pVJi6CmVEAIO9ix4/fXXt41oJ/Rk1iYBJnt0Es5UDT1pgFiPPVtqgNFxNED5o24IaGyApI/iAo1l6ujgJKjkJO7EE09MMz2ZYUK94wSuaqcJF2eMMGf0KZ21zAJhOUyCEC4C2WusGHWOup7NOGHWN0EsoSdL6vJe4KhXaftRz5iZTacO9Z16zYxPBkIwopV2mXrI14ShvEew7CbhC+1s/vK2hp5S3dGZSltGZwkD+zjPZal56hMrm7DXJ+0dAw6Y7ck5LvWOUKOxQk/ad56bGSc8H0tbE3oyy4XZLoYoUmlgGT322WVgBAMhGJRE6MnndMIaekoNR+jJikO0icy0ZP9O+pfyQ0/aYdrr7Z3pSV8WbT99WfkrJ1G/ud723FpqXrwfsB0UAxF4H6DP69hjj039UrwPZFsu8X6xvYP+pWIy9JRKCCeLzN7iQi1bUov9PBnxzkwvOn/ocKl64pctNUDnK8vtEZYSmrJUJ+urswym66tLf43OEE7QOFHjYo7Qk1FrLK1HPSJsZIQpAxIynMhloScdKnTIcsLHiR8XgdRZZn8yAj1/Sdz6yp4nm3FC5ythCwMh+JrZ3Sx9y4xSltrL9mPgI/fjc94rqPc8liegUmHUE2Z6UmcJPqnbvC8wIIKOGOox9YlZ37SzvEdky97SQUNgY+gp1R/nvdS30aNHp/PYKVOmpPYLtF20cXR6cl581113pdVMCD1ZUYEZJsUOPemwpT3NZpzQ+crqD3TusrwtAyJ4Tuo67w28L1RtdzlfsN2VGhd1i/cHzrezPT05/+b6l7DkzTffTOf2vMdIqj/aQ9o02jsG/2V7ehJ2sMUDsz4Z5JtttcL5b31Cz6x9pL1k4CED+B9++OG0qhHn2Qwo5hqb1SA4NydYtd2VGh91iLqcDXqgfjLwgYEJnI/TJ8Xg3+OPPz5NzmHFBeoofdLUReugSomhp1RCuDCjU5XZZczqIvTk5JJOVi7qCDkIL/MDGHDSR/jCqHQu+gg+CWEIPbnoY69COpWK2TEktQTUHeoUHa6Eniyrx8UWe4oRLjJooGqnKidyXGAx2o36yuwUZoFw4seFICPN+d72hJ48B/flIpLOV/YN5P2AUJXnoWOHpf9Yfpe90OiMZflN6jufc9zMXOXfxXFyvA0dfSu1dLSpXKhxUUch9Mg6UTLUH2aBEoSwlLWhp7T9aOfoyKSdnT59evo8H50ozLCmnaNjpbFCT9pcCnWeYyCA5Ryavb3p2CH45PyaZXY512a/QAYj5re7bE3Ro0ePNHiRwUic09vxIzUO6iqh5gsvvJCWoebc/aKLLkrn47TTzEZhEIVtstRwXIdSjxh4T9tHHxOBJ9eirL6QzcTkejoLHeuK23JuTR1lkCErrDCAgfaWdpdzbfqz2LOXes5A5Kzd5SPtLqFotqwm5+88lu2u1HDUY7ZxYKIN/csEmqxqRv1nIg5905wbs6UT4Sd1k4EJ2YBFqdQYekolJD/0JNRghDkne3xNRwoXd5wUVg09+Zr7sSwuF3t0zPCRzlhODA09pcLyQ0/2KqFDk71EOJljBCt7eFF3ql5AUVfpGOVCkOX4WPKS+3ARyP1YBm97Qk8uAnkOOk6zDePZO+HnP/957L///vGLX/wiLcFL8MKFIUsNEbjy+eGHH54uSLkwzfY0ysIYLwSlv0Z9ox2lzlH4nO9RMtQf2lmW0XOmp1Qc1DEGGDDQgE6W/PpD+0kQ2hQzPWkbeRyOhVnedL4yCIo2/ac//Wlqd3/5y1/GYYcdluo+A5COPvro1O6yMgTtLoOlGPREZyzvFXTAVj1fl1QcvGdQTwleOOelDhJ8Um95b6huoLCkuuMamD386GNi4BHtL/vas+z7Qw89FIMGDUptXdYO1+c6M2t3uRbneWjr2Uf/mGOOiZ/85CdxwAEHxK9+9avU7tLOZu0uhXaYQhtNXxmhDMEn5xENvfaWVNHHxSoK9D0z6J4Z17St9DUdfPDBqT6yuhkrorFCGv1n9HlJpcrQUyohNDJ0lBBUEHpeeOGFaV8STjQ54cz2TKh6MscJIyd6jDKn8aEziBPTp556Ks34MvSUCstCT0aoMTOSQCMbcHD77ben2Z+FTuToRMlGwbGfH8vxMBOTUanUWUaY03Ha0Asv7seIOY6NTh1mdXJh96Mf/Si+9a1vxde//vX42te+Fl/96ldT2WmnnVL54he/GJ/97GfT9+igZQAEs8RZloj3Dt5jJP01Ol+yksn/nPrIrGtmf5188smGnlKRUM+qDjIAy9jRdtGhwnkxnaFZ6MmensUOPWl3mfHNEl509nAeTai51157xS677JLa3J133vmv2t0vfOELqd3l5wxGYtAh5xMMijL4lIqHekp9p57SKct7AO8JDAhkcAIds3TScs3MgAlmqXntKzUM57OsXED/EoN7uT5mr80zzjgjrYaUzfDiWrohqM+0jwxgoL4yYJg+LM6v99hjj/jmN7/5V+1u9vnnP//51O7SNhPG0P/FqhC8Lxh8Sg1HfabeM4CPvTuZ0ckABOoa9e8HP/hBOjdmxicrjrGNWtVVWqRSYugplZAs9MxmehJ6ErywdBb7HLBnAh0oVU/kOGmkc4VRboxwpcOF/UwMPaWa5c/0ZMYmdYaTOGZ70uFJZyvLw1bFRRodsnSO0rnC0juMeGO2J/WP+xF6NrSzkwtNLtq4COS4GMnOCNfvf//7KfTcfffdU0fsD3/4wxSE7rPPPvHjH/84/XzXXXeN73znOyn0pHOY2asEn8z45JgMZaT6o5PV0FNqOrSx7GndVKEn5+CcY3M+zT5lzB4hxPzud7+b2l0+Zu0u7S3tLu3v9773vW0/ZxQ85w8MoGLQFB3CrNhgB6y0/ahH1CfeF5gVxrk3AQznu7/5zW9SEENAw2AJ2mO3dpAahrrGoF/qGUta0q4xqIBBwaxowPdoJ7lObWj7Rt2k3aWuUqdZqpb+r4MOOihdx9Ku0r7S7u69994faXe5DubnhKOcj7MtFAEM18w8FiGM/V5S/dFuck3LamcMJqA/mtnVDCzad9990+zrE088MQ2s51yXc3Runw024HxaKiWGnlIJqS70ZIlalrjMRq1WPbmkcZk6dWrqAOIklPvQSBl6SjUrFHpyEsceBQwcYLZGTaEn+401RujJCScdO4y0a9u2bbrApFNnt912Sx2unHyyd9F1112Xno/OYIJRvubCNBuJS8mWyWZPtBEjRjR4GSKpNTP0lJpWU4eenA/QbhNUct7Nc7HEHu0una0s58X3WMKe82yOh4+cM3C+Tocw5wC0u9lKLQxaZGsKZrIYvkjbh3Nj6hP1k3N0ztVZBYWZXmwBwTUwq6NkW8FQrz3PleonuzZmiWhmTtPmsrwsy84ysIDzXgbTck7MtWpD2zbux7k1z8X1KcvYc15NsEm7y7Ly1G/27OU6Nmt3ue7lupjrbtpd2lyW2+X6l2XwOTdgBTQe23ZXqh/aTvq+qN+sXMaKg08++WSa7c25N5MDqJMUlr4l+CQgZYIOfdWEn7a7KiWGnlIJqWmmJ3smVDfTkxO6bKYnG8A701Oqm/zQk4CTkzpO5ggUuXCis7W2mZ50sBCEEC7S6VKM0JOlNBlhywkndZj9ORlhx0wS9lJg+R9OMLkgZUQ77w28B3B7Ahjuw3sB4echhxyS9vokEGVULp3EPD7vB56USnVj6Ck1raYMPbPOVwYyDRs2LF599dXUpu+3335pBQVCFc6rmb05fPjw1KFKu0u9p7OW5XBZCowVIjgPoN1l+S+CT2bKcJ5BYGO7KzUcbSzn6tQrZpowAJD9Bdlegu8xy5Nz4Yaee0utHXWHPiOuL7mW5NqR811meHEtSdvLMrS0zQwuoF1rKNpDBgTRjtPP9eyzz6aBQ8zq3HPPPVPdZnsX6jyrFdHe0u7S/tJO8/3XXnstXXfzfsBsb+7DwH+uzbl+p2/NdleqO+oK17KcgzOogfNXzo1ZOpr+MvqfCEAZZMD5OAMhOPdlueuePXum+uxgA5USQ0+phGShZ7anJyPYuIjjhI6TN07yuOCrGnpyMsfPODmlU4ZRNwQ2BDiGnlL1stAz29OTAIMlcjiJ4yKKCzvCx6oXS1wU5u/p+dBDD6VOl1NOOSVdEDIyjvs1dMmfbMYJI9o5uaRO04HKBR0dsbwn0LFT6GKTgRG8j9ABS3hLWMpeDASgdOTymJzEZh2wkmpn6Ck1raae6Ukd51yZzlXOnRkARScvS9wyop2BhbT5Ves4nTu0qbw/cJzMPKHNpe2lU4jHyt9X284gqe6o39Q56g8drgwM5jyYAYC0w8zw4nydusf1LnVRUv1R1wgKs8CTmdO0twzi+dnPfhYnnXRSmtXFQB/qI9fC29Oe8XyEngwgJsTk2pZBvlndZhUFrsNpl6teT/M118kcK4P8OS8nmGVp3DZt2kSHDh3SKmiskEa7a+gpbT/qO6uQMSubc2Sugznn5VyXPus33ngj9UF5LaxSYugplZD8mZ5Z8MIyWuxRQCDDxV6h2WM0LAQZnCxmyw7Q8NAZyxJAhp5SYfkzPQkqH3744TTDmvCS0a10qjK6repFHXWVgIOgg7rJYANmdxx33HGpzmZhaUNDT+o04SUdrCxtzUkkz0G9ZiQsI2K5kCuECzsuWpldQljKhSMXgZyUMhCCkJbAlAvWhh6f1NoYekpNq6lDTwYC0S6yPBfnzSwJny1hSwcPHb28DxTCMXCeTUcrHa50ErO/J4MXGf3O4zFDhXbbc3Gp7ghFeB/gXJu6xDKXnKMzy5Pz7mxFJOoYM1E4r5dUd1zjZtfDLFFJe8u1bDaYl0Jblq12QEhZjHPd7HkZqEBAyfXp888/v20Z2yxAqa5O0x9GnSegJXT59a9/vW2QEn1iXD9zHe3y8lLx0L/FllBc//I+wTn5qaeemgYjPfLIIzFw4MB0/i6VCkNPqYTkz/Qk9ORkkz0L6GRlhDlBBwFM1RNNTgbpjCEc5fbZnkPcL7sQNPSU/hp1h5M3ZnpyIcdyHewN8oc//CHVI2ZLckFVNRzkftlMTPY1IYwk8KQThjrI97h4bGioSF3l/YALNQJMZnIzmpX3AN4jeG5+Xh1ONrk9e40SdrLcD2EuM1LZI5QLQd4TDGikujH0lJpWU4ae4HEIPlnFgfMCnpu2kk5gPmcpv5radAYqscc3S8tng6A4XtphwlCWxaXtdrCRVHfUcc5bmc3JdTGzzWiDaX/5HoFH/gomhhtS/XBNS5BJe8f+faw2duSRR6bVhahr1DO+nw2a5dq0GDMneQzaQ+otA4K4LuUalzaXY8lWOKuujef+tMsM8r3jjjvSsZ5wwgnp+J9++ul0Xc+gZm7j+4JUHJzr0uZSv6hn9Flzvsv+u5ybM0DJFRdUSgw9pRJCiJEtGcBIcTp2aEjuv//+bSebBDBVO1XpGOLkkCVHWBaEkTYsCULnLBeDBCUEMIae0kdxoZWFl5y8MYo1CzSofywHy+jT/DrHRRZ7YnJxxmCDd999N408P/bYY9NFInWX0JNO0+2tczxXVrhgywpf14T3EjppOX5CWDqK2HOBzljeSwhpmM1SU3Aq6UOGnlLTaurQM1Ooza1Lu0vHMe8RDECkvaXd5XyAwUYMQGSbCjqWq67WIqkw3gNY9pJVWGh3mcXF/rq0vQw25ByX83BuJ6n+aD+5DmagLNezXAezP2a2RDt9Slw30j+VLdHeGP1JDW13CWAJSTkXz84Psj4w9vi1D0wqHuoj7S3nsgzko44x0SbrA8sG/hejD0wqFkNPqYTQEcKoNk4ur7/++rQfH40HeypkQUWh0JPO2OyE75JLLkknqDRA7HHAfoBcMHJCy8mjpA9x8cYIUPbbYqkOQkGW6DjiiCNSPWJ5HJakq9pJmYWe7P3FLOybb745jXBjhmi2BwkzNJurznFSynGzvDXvBdl7yYMPPphmr2YDKAw9pbox9JSaVnOFng3FjBWON9vriHaXZfKzAYjMAjX0lGpGfWa2NeeoDOhlwAADCwliOMdm9RKWv2T5ac5lWQGpkNrCEqk1o35wDci1Kv1E1DOugRlszznu73//+3Q9zApIffv2Tee3pVin+DdwLc7WL8zwZJlb3i+YCMD1Of1jBDD2gUnFQR8YAwm4JuY8nK2UWFGMAUn0NbGyiaGnSomhp1RCOCEjqKBzhBGsjBTPlqklvKDDhA6eqh0mjC5nhF4205OOFpYioeOFICdb9scTPumjCCgYuUq9o/OEunb22WdvW96Wi0DqXNW6k78sLid3d911V5x++umpU4bOWOodda6+F4jFvKCkwygLPbkI5CN7ejICj46kQktlSyrM0FNqWk0RetLmFqvd5XEYQEUYQ+jJIEQGRNEZ27FjxzQqnvMGl7eVqkcbSr0nsGDQL4OAqUvZ4L1smwbqE4MI6ICVVHe0VZzTch1I4MlgWNoqrn/PPPPMtCcmMz5pd3v16pX2xSzmINlitrv0ibGELSssEHpyjkAf2IsvvhidO3d2eVupyDg3Z7Uw9u7kvYPQk+tilpbOlrelzhWrjkvby9BTKjF04BBK3HvvvelCjxM3OlUJL1gaqy6hJxeHnKwSnrKfJ/svsFeCJ3zSR1GXWBqHjhNGgz7zzDMpIMz2BKEOFepUpc4xyo2LKWZ1MjqWPTMJQai7hCDsedBcqOvUe2aIM/OUziJORBkIwQUsyxRxQuqME6luDD2lplWOMz3Zj+yFF17YNuOEfcZoh5kpQyDKe4Sj36XqMRCRPfq4/mX/TvYK4/z67rvvTkFGjx490vkt7w9e10r1R4BJ4MkAWJa0ZeButsoRHxlswEBgwk76j0p5r1yOjQEQDOolrOUcwT4wqfFwHsugf7aFYrABg+oZMMGWDvSH8d7RnH1gUlWGnlKJYRQ4F3QsTcsFHp08nHzSqNC40LFadbQdJ3PMAmXpygsuuCBdHNLoMAONTlpObOmwdcSN9FF0UhJgsrwPdYVQkKV9TjnllNRp+cYbb6SOSjpX8hGUciHFQAQurLIlgbgPgw8IUKvepz64OCOQ5GKOUew8H/WcJb/4uqawknrO7bPlfhgIwYkos8eZucoACWaB8njOOJHqxtBTalpNHXryONRfzgmo71Xb3ZraS9psbkvb/9hjj6WBRiyRT2cyM9bolOVYeUw7X6WPyuoeHaXUefbqpA7RzrLyCjM8eQ+gM5WVWTg3llR/XCOyEhEzPLl+ZeY0K4sx2Jd9+bhmZKB9dctGFxPHUrXdpb3N2l2+V1P7zs/4t/C+QF+ZfWBS3VAfsj6w/DpHXaF9pZ+p0Lkq36NOUedY1YS6xsomDPJjD/unn346DabYnj4wqdgMPaUSQ6cpoQQnonSmsm8JM7XYn4Dgk46T/E5VGi3266RTiE4gltc87bTT0mwzRspycchFJEGpJ3zSR3HyxkkfHZHsp8syHXSuEHrSucrMT5bv4AQvv95Rp+jcJBR95JFHUj1lpBudsszqYAYoJ5INRQcrAyA4phEjRqRwlfrMLE0em/eJ6nDCyrIjvCfQ4cq/hYtZ3kPofKVDiYtEjs/OV6luqFeGnlLTacrQk/Njno+9uhnoxLk2szNpd6nfrI5Ah1B1+BkDodhHn2UCORfnfYJzA1aDyN4fSnnGjNRcqHsMxuO8mqVrCTAIPalD2bk4P+N6txj1XWptsutd2iras3feeSetRED9Iihk0C7XjAw44DqzKdop6jLX36y2RFtP/xftLe0u7S/XwJx7F8LxZYMk6DOjr+z4449PfWDsQ2ofmFQ96h7npGyBRt8S59kEmVzn0ofEz6praznXZWAEqzEwSILAk/cPztHpR+Mxt6cPTCo2Q0+pxHDyR2PCSR/hCQ0K+yuwxA8dKcwCzT8B5HM6U5jBRcPD0iRsJk3oyexPlrDkZI+TQ0/4pMIY0UbnKZ0thJdcNDFilBFsdGISPLLkVoalbVmGmtnYXGhdd9116WKRGdrMyJ46dWqDl46lnmYnoly0cQLJzBEenws5Lu6o84Vk/w7qPkvscTH7u9/9Lo488si0XDadr1xcZqNnfU+Q6sbQU2paTRl6co6crfjA83H+/fDDD6fnJIDhPICl/gohyKSTiPcBzgGY4Xn44YenGWqcw3PeziAmbme7K30U9YEwk8F9nLdyrsvMEZaq5CMDC+mUZbCepPqjjnFuSuDJ4IKePXum60mWsj366KNTm8W5LN/nXLap9sklhOV6mlmnXDszc4xVy2h3qfd8j7azkKz/i+tkbnvWWWfFYYcdlpbD5t9mH5hUPfqLOG+lL4tzXM5VmfVNnxPhZ3XvA9Ql+sSoc/RPU99Y2pZ9PTn/5fyZwQYN7QOTGoOhp1Ri6BTh4o99gdiAnX0JCDzpYCWEoTGikSIcpYOVUXBZRwsdQQQcdMjSGNEoVTdCTtJH0eHZrVu3NGCAUa+MXGNJWEaYc1LI/gWMGKUjlo5RlvDIOmAJPgkmGTk7aNCgdBFXU0csF1/5JR9fc6HGRSCduuxTQhBL/WfkOyennJBS//NxQcuMVPYw4X2C9w4uAhkIwZJFzDjhvYLwtupzSqqZoafUtIoZeua3t1nJx2PQbtN+045Tz2nXeS6ek3rOTDPOvfNxzk4nMm3ya6+9lmbO0JHM+wOzThg4xWPS2Vz1OSVVBB90klLvWJGEDlQ6UzkHp54///zzqQ6x/F4+Ol+rlqp13DonVbR/nMNyjcgqBqxSxED5gw46KPbff/800JcBBwy25TyWdo16meH+1dW3mmR1ML/kIxhhIC4DHhi8T+jCEpm0uyy5yxYthfqyCGOYIMCAIs4NCFxYXYF2l/aX63G2eLEPTCqMa1XOr5nZzeCirM5xzsr3GGhEfzPvBRnqfLa6IP1Sv//971O/M/elb4r9gZmtzUCFYgxGlIrF0FMqMZxkcpJG5wsNB4ELI/COOuqotEwlI3EYgc4ylZy0ErzQQDGLi9sRctBRw8kjJ4SOtJHqhk5JLgY52WMGJ7M3ORHkI4EhAws4oSMAZalp6tnpp5+egg9+TtDIyFLqHZ0zVS/uOFlkhiWhI/WbWSPclrCEE0u+n50k0rHK9znp5HGp4+wZSujJiSZBKB2+hLQELtyOQRK8JzA7hQtARsmzlyfHx5K9L774YgptvAiU6o96Q+cLnTKMbP3Nb34TZ5xxxrZZKAxAYiaKoadUHISeLMPHbA+CD85/GfzDeS7tIO0x7WhNnSu0u3SQ0pHL0rUElFm7y31pq7POWwY18XzMHMnOA2hHs/CFDlhmfPLzrN3l2LgtHT4cEwEp7S6F83LO1+lYyu84klSBepc/kJC6feihh6b2lQ5Vwk/OwbkWpq4xqI9C/eP8t2vXrqkDlo8EIIQnXDsT3lC/qdNeB6u1o42jDaResOIPsykZlLPHHnvEN7/5zfj1r3+drmlpr7iWpI2jUKcofJ7VN35OnaMOUm8JLWlHsxmV2fPR7nJOTNDKNW7W7jJQiWtc6j5tN7dhUDGPyXVqtuTuJZdckq6t+R77c3IcPCezUTt27JjCTmZ00s5yW651swFRnBs420yqHnWDekld4v2AesSAA9pbBvxzrctAPtpd6hyFus+ytvfff386x6WNzrZPov+JwUnZxJyqfWBSczL0lEoQDUU2epwTPU76CFdYtpbCaDY+MrrmkEMOScto0ehwksgsNU5aGZHObDEbHaluqHNcvHHSxgUTJ3zUKeoao0cZeEDYwSwv6tsxxxyTfkaH6BNPPJEuxqizXPwVCj4Y0MBsUi462auEC0+WquVEkWV1CVyzJXSzjiA6bZjxyc8ZucoS1xwTI+EZBHHSSSelj7w/MFKX42MpW94b+Bmj9jiZ5SSV9wTCVi8Cpfoj9KSOMgCBC72f//znqY4RdtAhRLBh6CkVDx0nrHpCpwyBSDYLjDaPgTy0a7S5NYWe1EdGnbNHGW0059Tcj8FEPC7fz2Zv0lFL+02nTTbjk0FEPC+dqgQytP/57S6zSv74xz9uW0aerzk2ZopyHkH7TbvvqHfpQ5zjUt8ISqgfhJWsTsJSmz/4wQ/i29/+dnz/+9+PH//4x/GLX/wifZ+6lQ0oIAzN6h91kvpI6MHgQGaE835BZy3tMufSUmtGXSN8ZEUCBu2y/x4DC772ta/Fpz/96fTxZz/7WbqGpF5RvxjUlxW+R6GeEZbSD8UgXK6TCUIZ9Mf1azY7lOtM2l1mWxKWMFiIwfi0uwQn1Mts6UzaRu5LKMrAYW5DqEL4wnPw/Fm7S33PjoMVjGh3eW/gNoQ2DAjmuQhjCXmzEFbSR1HvGBSUrRhIXxTXt/QxUd94L6Ce07dEoc7xNfWfn3HeS52kzeU9hXNm+pio1/mzxKVSYOgplTBmnjFilVFunPzR2HBS+p3vfCd23HHH+MxnPhOf/exn0yg99jGgY4ZOFmaj0PC4ibRUd5wAEmxwocYFEyeAhIaMgP3ud78bX//612PnnXeOXXbZJfbcc8/45S9/mcJPZnfQiZp/EVcIna+EmASe3J6ZowxSYFQrs8W4ECR0zccFGxeDdPzSgcN9OCFlsAPvA1/5yldS4dg4Lsquu+4ae++9d7ogpPOHx81moRHsOhBCqr9spieDCLjY432BC0FCETp1Jk6caOgpFRFhJDMvGSBEpwozOFjRhA5OzokJJWub6Umbxx7b1FE6UxmgxAxO2kY+Z/YIy3Xlo8OGQYOcB7CyA+0zM0xZCpD29ctf/nI6B89vd3fbbbfYZ5990nk6AyF4XDpxab8JdiR9iPPQbGUjznsZOMS5MNsxcL690047bTu/pa5x7s217re+9a1Usnr3jW98I/2M0Ib7HXjggencl3N3gs+BAwduG0wotVa0kQwQ4jqS9ol2lHNY6hCh56c+9anUrtGmUc+y+lW1UNe+9KUvpTr5ox/9KA1CYlncIUOGpH6n7PyXNo92l3rNbDEGAbFXL+0us7YZ5FC1XmYDlBgoxGpmHCePT78Xx5S1u9T57D2AwREHHHBACkIZGMz1NYOWqht8LOlDvC9QTwg/GZBPXWV1EybTcD77ve99L53z8r5A3aNQ7/gZgw3oj+L8mHrOoAoHGahUGXpKJYyRcizPwSg6Rq8xMo8ZJox8pRHiopCG6Ic//GEagUMHDrO5OGkkfKmpI0jSR+WPPOfijU5SRp4zqu2nP/1pWgZo9913T6PP+ZrggxFu7PXFMnfUu5pQn+ncYWkuBifQictFHcEndZd6XjX0BMfESHgCF5a0pWOIGaYEm1wIcgGYjYpnhDzvD4zgpZOWi1GWDaLz2JNRqeEYREQA8/LLL6eLwix4eeWVV1K7S0eLS+lJxUMgwjkwHZkEnLS1LLvFQKNshgltdU1tG6EndZMZLqysQIcrs0hodwlFaLtpX6uiHvPYdOYySIkl4+nkYcAT7S6FgUdZu7vvvvumwYfsk0a4ykAjjt92V/prnG9Tx6gjdJYyw4vQgpCDQX0EGXSsEqxQvzj/pq7RCZtfOCdnwAHnwJwTE+Qw+4TZ1iyJTdts6KnWjnaIZWUZjEO7x6xI+o0OPvjgVMeoX1kpVM+yQj3jmpPg4yc/+UlceOGF6RyYoJJr4PzQk7ab62hmeDJgl1lkLEdLvaS+F6qX3I/j5DqZAIYld1lpiefOnpc6z3HutddeaT9SZntyO4JSnpNzdQf3SvXDQD/CSwYn8N5AP9J+++2Xznmp99Q9Cl/TRrOUNOfS1DsCU9pyqVQZekoljJM2ludgBhlLD2SbvHOySscKJ5ssrUnHKyeUnFxyskjDQ+DpSZ9Uf9QblsOi05Ll77KOVjpRGD3O4ANmnDByldmg1DtuW9sSWoxqpz5zWzpSuR+Pz1I8dN6yzF51nTNZxxBLBXF7RtZxkceSe7wHEMJwXBwjHcLMZCGc4cKSWSwuNSJtHzpzCEGoU9R7Om4IYuicoaOFWZ4ONpKKhw5QOmJoM+lUpcOW9o9BQ7SZdLQwo6Omc12CFR6D82iW3+IxWOKWGZx8zkAGVlUphDadc2qem+dkkBJtLG1u1u6yBxJ7f7PSCh26dNTSvvN+4HuBVBh1lvpBHee8lzrOnoG0q9Qj9u9lOwfqFee61DvOcRlomF84J+d6mLrI7RgUSHjKNi8MaGC2mZ2xau2y/iTaO649GQBE+MngH+oZ/Ui0Y9Qz2jTqWqH6Rj2j7ePak/sxsDZ/dmV2rUm7y2AiVilitjV1O2t3sz3wC9VLwlnaYx6PAQv0e/F+wLFkz0udz9pdBiMRvDAwietjBh460EiqPwYLsGIR9ZQ+ZfqRaH95T6DeU/cofM2EAPbUZR9e6h0DHuxnUikz9JRKGCepXBByAkhwwdIkdNzQwLDsLR0rfORrNofnNpxE0vDU1AkkqXrUHeoQ9W7u3Lnp4oxAkpmWdH6yrx9fc3JInaTeMZOythM+HpfghNty8cn9eHzCTE4YuVirbjkeHptAhdtwe547/30gOy6Oke/TGUwQQ2cvM128CJS2D3WIi0LqFPWezlQCEb6m3aWttu2Vioc6R72izSQYoc1kNQTqHW0mnax0rtZU53gM2kDa86rtLp/zfR6jkGwmGvfjOTn/po2l3aXkt7sshUsHL+8N3J7j9r1Aqh71g+AzOy+mTtOuUo84x6ZOcT5L/aJQ16oW6mBWuA0rm3DOTj0kdGHgQm3n5lJrQD3L+pNoz+g3oq5Rz7I6Vl09ywr1LOt74n7UV+oZ7WR+W5y13TwfA4Co27S5FG5f3TUz98/aXe7H8vUcI8+dPW/Vdpcgl9tl19C2u1L90RZTX6mjvDfQj5S9N1DnsvNevqZOUvcZCEy9s59Jpc7QU5IkSZIkSZIkSVJZM/SUSpCj1KTWjfcA3wckSWoatruSpJak1Ns0212p5bAuqxQZekqSVII8cZQkqWnY5kqS1HRsdyVJjcnQU5IkSZIkSZIkSVJZM/SUJEmSJEmSJEmSVNYMPSVJkiRJkiRJkiSVNUNPSZIkSZIkSZIkSWXN0FOSJEmSJEmSJElSWTP0lCRJkiRJkiRJklTWDD0lSZIkSZIkSZIklTVDT0mSJEmSJEmSJEllzdBTkiRJkiRJkiRJUlkz9JQkSZIkSZIkSZJU1gw9JUmSJEmSJEmSJJU1Q09JkiRJkiRJkiRJZc3QU5IkSZIkSZIkSVJZM/SUJEmSJEmSJEmSVNYMPSVJkiRJkiRJkiSVNUNPSZIkSZIkSZIkSWXN0FOSJEmSJEmSJElSWTP0lCRJkiRJkiRJklTWDD0lSZIkSZIkSZIklTVDT0mSJEmSJEmSJEllzdBTkiRJkiRJkiRJUlkz9JQkSZIkSZIkSZJU1gw9JUmSJEmSJEmSJJU1Q09JkiRJkiRJkiRJZc3QU5IkSZIkSZIkSVJZM/SUJEmSJEmSJEmSVNYMPSVJkiRJkiRJkiSVNUNPSZIkSZIkSZIkSWXN0FOSJEmSJEmSJElSWTP0lCRJkiRJkiRJklTWDD0lSZIkSZIkSZIklTVDT0mSJEmSJEmSJEllzdBTkiRJkiRJkiRJUlkz9JQkSZIktWhbt25NRZIkSZLUchl6SpIk6f9v705bvKzXAI6/jaAHBYVQkFFBC2KLKQotKmlZalmO+665lVZmLmSJmJKmSSmaKKZWmjaVU4qNWWlOOeaS+5I6buM443odfj9GknM65zydWz4f+CPj3P97XsCX67oArmuiJwAAwPVP9AQAAKAwUry8fPlyXLp0Kerq6qKmpibOnDmTP2fPno3a2to4f/58XLx48b+GzqvvSM+kd1RXV8fp06fzJ70vfT+9Pz0jlgIAABSD6AkAAEAhpACZQuW5c+fi2LFjsXXr1igrK4vPPvssVqxYEWvXro0tW7bE7t27o6qqKsfLf5JiZvrdiRMnorKyMkpLS2PRokXx6aef5nfs3Lkzjh8/ngNo+nsAAAA0fKInAAAAhXB1ujPFyj/++COWLVsW48aNi759+8bAgQNj4sSJsWDBglizZk1s3749T3D+uxROU/A8depU7NixI5YuXRqvvvpqdOzYMUpKSuKdd96Jr7/+Ov8uhc80OWraEwAAoOETPQEAACiEFD1ThDx69Ghs2rQpZs2aFV27do1mzZpF8+bNo3PnzvHaa6/Fhx9+mCc2jxw5Uv/Nv124cCEHzz179sS6deti8uTJ0bp167jtttvi3nvvjT59+uSpzzQxmr6fpj1FTwAAgIZP9AQAAKAQrl1Lm1bbfvLJJzFkyJBo06ZNtGzZMp544ol4/vnnY+TIkXniMz2TIum10mrcFDxTFJ0/f35+9rHHHou77rorHn300RgxYkR88cUXeVI0rchNk6WiJwAAQMMnegIAAFAIKT6m8JlC5qFDh2L9+vUxd+7cePPNN6N79+45ej788MPRtm3bGDt2bHz77bd5WjN956o05VleXh6zZ8+O0aNHR69evfKEaIqlQ4cOjY8++ihPkaaboSl4pulSAAAAGj7REwAAgMJJ4fPw4cNRUVERX375Zb7F2b59+7jzzjvjnnvuyRE0TYKmac+TJ0/m8JkC5oEDB/IdzzTh2alTp+jSpUsMGzYspkyZEosXL46NGzfm9bnXhlIAAAAaPtETAACAQrq66raysjIHzm7duuXg2bhx43j22Wdj2rRpedozhc8UOw8ePBi//PJLfPDBB/nZtBY33QSdNGlSLF++PH766af8XHovAAAAxSJ6AgAAUFhpejOtol2zZk2MGTMmWrdunW9zpinOtPZ2zpw5sWTJkli1alWsXr06Fi5cmP8/rbRt165dDBo0KK+0TROe+/fvj+rqajc8AQAACkj0BAAAoNDS7c3ff/895s2bF8OHD8/Tmz169IghQ4bEqFGjcuScMGFCTJw4MYfR/v375xue6bnx48fn9bh79uyJmpoaa20BAAAKSvQEAACg8A4dOpSnPdPq2hQ5U/Ds3bt3lJSUxIsvvpg/KXKmn69G0RRIZ8+eHT/++GOcOnWq/k0AAAAUkegJAABA4Z05cybf9vzqq6/yutq33nor+vTpk297ptudjz/+eF5926FDh+jZs2eMHj06pk+fnqc8d+7c6Y4nAABAwYmeAAAAFF6KlsePH4/t27dHWVlZzJw5MwYPHhxPP/10tGzZMh555JFo0aJF/vnqhGdpaWlei5u+l26DAgAAUFyiJwAAAIV35cqVHC7TxOe2bdti0aJFMWLEiGjXrl0Ong888EA0bdo02rdvH2PHjo2VK1fmQFpVVRW1tbVueQIAABSc6AkAAMB1I8XLffv2xdKlS/NE55NPPhn3339/NG7cOO6+++78c1p9m+5/pjuggicAAMD1QfQEAADgupEC5t69e2Px4sUxcODAvNL2jjvuiJtvvjluvfXWPPU5atSovNo2Rc+6uro8JQoAAECxiZ4AAABcF1K8PHv2bFRWVsbcuXOjV69e8eCDD0ajRo3ihhtuiBtvvDHuu+++GDRoUCxfvjx27doVp0+fjgsXLtS/AQAAgKISPQEAACi8FC6rq6vj4MGDUV5eHjNmzIiSkpJ46KGH4vbbb4+bbropbrnllmjSpEn069cvR9GNGzfG/v378x1QK24BAACKTfQEAACg8FLw3LNnT2zYsCGWLFkSEyZMiJdeeilatWoVTZs2zbEzrbZt27Zt9O3bNyZNmhQLFy6M9evX5/B5/vz5+jcBAABQRKInAAAAhffXX3/FDz/8EAsWLMhB8+WXX87R85lnnokOHTpE165d84RnWm3bv3//GDBgQIwePTpPfG7evDlqamrq3wQAAEARiZ4AAAAUWlptu3Pnzli6dGmMHz8+Bg4cGD179owePXrkqc4RI0bkEPr+++/HlClTchDt2LFjdOrUKcaOHRulpaVx7Nix+rcBAABQRKInAAAAhXXx4sWoqqrK9zlnzpyZg2eXLl1y9Bw5cmS8/fbbMWvWrBxEV61aFYsWLYoxY8bEc889l1fdDhkyJK+53bp1a5w4cSLq6urc9wQAACgg0RMAAIBCSnc4U/Dcvn17rFixIk9tdu7cOa+0TWts02Tn559/nu92/vbbbzlsfv/99zFt2rTo3r17tG/fPnr37h1Tp06N1atXR0VFRRw9ejQuXbpU/xcAAAAoCtETAACAQjp58mQOnt99913MmTMnh86nnnoqR880zbly5crYsWNHDqNnz57Nz2/bti1Pe77yyiv5zmevXr3i9ddfz1OiKZxWVlZGbW1t/V8AAACgKERPAAAACufcuXOxa9euWLNmTcybNy/f8kwrbVPwLCkpydOcP//8c46d1zpy5Eh88803+bbnsGHDol+/fjmWpvA5Y8aMKCsry88AAABQLKInAAAAhXDlypW8ejaFzL179+aVtJMnT853PFPoTJObAwYMiHHjxsWyZcvizz//zN+51pkzZ2LLli35xud7772XJz7Tqtt0B3Tw4MExe/bsKC8vj4MHD0Z1dXVcuHDhP94BAABAwyN6AgAAUAgpQKYQeeDAgRwmU7Ts2LFjNGnSJJo3bx49evTIE5wpeG7atCmOHz9e/82/1dXVxeHDh2Pz5s15ne27776bg2eLFi2iTZs2MXz48Jg/f36+A5qi6enTp0VPAACAAhA9AQAAKIQULNN9znTHs7S0NN54440cOxs1apTD59ChQ3PwrKioyCtqa2pq6r/5tzQpmlbjHj16NE98fvzxx3ktbrNmzXL4TOE0xdQURH/99dc4duxYXL58uf7bAAAANFSiJwAAAIVw/vz5OHnyZOzevTvWrVsXU6dOzVOarVq1ihdeeCHf8dywYUOe5EzBMwXOf5ImN1NAPXToUI6nEydOjG7duuUVuem259y5c/Pdz61bt+bIatITAACg4RM9AQAAKIQUMVPMTGtrd+3aFWVlZTFv3ryYPn16/nft2rWxf//+fPPz4sWL/zNWpunNdN/z6tToggUL8idNeKZwum3bthxP07tETwAAgIZP9AQAAKAQUnxM4TPd9kwratMUZprW3LdvX/73xIkTUVtb+3+DZ5J+n567GlFT4EyftM721KlT+f/TZOl/mxYFAACgYRE9AQAAAAAAgEITPQEAAAAAAIBCEz0BAAAAAACAQhM9AQAAAAAAgEITPQEAAAAAAIBCEz0BAAAAAACAQhM9AQAAAAAAgEITPQEAAAAAAIBCEz0BAAAAAACAQhM9AQAAAAAAgEITPQEAAAAAAIBCEz0BAAAAAACAQhM9AQAAAAAAgEITPQEAAAAAAIBCEz0BAAAAAACAQhM9AQAAAAAAgEITPQEAAAAAAIBCEz0BAAAAAACAQhM9AQAAAAAAgAKL+Be4iKHSy3oQuwAAAABJRU5ErkJggg==\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":55235,"title":"Determine if x is a combination of m and n","description":"Given positive integers x, m, and n, determine if x can be written as x = am + bn for any (non-negative) integers a and b. Your function should return logical true or false.\r\nFor example\r\niscombo(17,3,5) should return true because 17 = 4*3 + 1*5\r\niscombo(18,3,5) should return true because 18 = 6*3 + 0*5\r\niscombo(7,3,5) should return false because 7 cannot be written as a combination of 3 \u0026 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\r\nHint: You can start by calculating all possible values of combining m and n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 207.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 103.867px; transform-origin: 407px 103.867px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 43px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21.5px; text-align: left; transform-origin: 384px 21.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 74px 8px; transform-origin: 74px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven positive integers \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18px 8px; transform-origin: 18px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 43px 8px; transform-origin: 43px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e, determine if \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ex\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 57.5px 8px; transform-origin: 57.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e can be written as \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 44px 8px; transform-origin: 44px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 44px 8.5px; transform-origin: 44px 8.5px; \"\u003ex = am + bn\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 102px 8px; transform-origin: 102px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e for any (non-negative) integers \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003ea\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003eb\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 113.5px 8px; transform-origin: 113.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e. Your function should return logical \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.5px 8px; transform-origin: 10.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e or \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 20px 8px; transform-origin: 20px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 20px 8.5px; transform-origin: 20px 8.5px; \"\u003efalse\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 2px 8px; transform-origin: 2px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 39px 8px; transform-origin: 39px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eFor example\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 83.2333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 391px 41.6167px; transform-origin: 391px 41.6167px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 60px 8px; transform-origin: 60px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003eiscombo(17,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46px 8px; transform-origin: 46px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e because 17 = 4*3 + 1*5\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.9333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 10.4667px; text-align: left; transform-origin: 363px 10.4667px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 60px 8px; transform-origin: 60px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 60px 8.5px; transform-origin: 60px 8.5px; \"\u003eiscombo(18,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 46px 8px; transform-origin: 46px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 16px 8.5px; transform-origin: 16px 8.5px; \"\u003etrue\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 76px 8px; transform-origin: 76px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e because 18 = 6*3 + 0*5\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 41.3667px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 363px 20.6833px; text-align: left; transform-origin: 363px 20.6833px; white-space: pre-wrap; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 56px 8px; transform-origin: 56px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 56px 8.5px; transform-origin: 56px 8.5px; \"\u003eiscombo(7,3,5)\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 300px 8px; transform-origin: 300px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e should return false because 7 cannot be written as a combination of 3 \u0026amp; 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.75px; text-align: left; transform-origin: 384px 10.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 206px 8px; transform-origin: 206px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eHint: You can start by calculating all possible values of combining \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003em\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 16px 8px; transform-origin: 16px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e and \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 4px 8px; transform-origin: 4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-family: Menlo, Monaco, Consolas, \u0026quot;Courier New\u0026quot;, monospace; perspective-origin: 4px 8.5px; transform-origin: 4px 8.5px; \"\u003en\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function combo = iscombo(x,m,n)\r\ncombo = false;\r\nend","test_suite":"%% Check various inputs\r\nassert(~iscombo(6,18,5))\r\n%%\r\nassert(~iscombo(10,7,19))\r\n%%\r\nassert(iscombo(10,5,19))\r\n%%\r\nassert(iscombo(20,10,4))\r\n%%\r\nassert(~iscombo(6,4,7))\r\n%%\r\nassert(iscombo(11,6,11))\r\n%%\r\nassert(~iscombo(27,6,11))\r\n%%\r\nassert(~iscombo(7,2,12))\r\n%%\r\nassert(~iscombo(19,10,14))\r\n%%\r\nassert(~iscombo(25,10,4))\r\n%%\r\nassert(~iscombo(22,9,8))\r\n%%\r\nassert(iscombo(25,13,12))\r\n%%\r\nassert(~iscombo(30,11,13))\r\n%%\r\nassert(~iscombo(15,8,13))\r\n%%\r\nassert(iscombo(13,13,13))\r\n%%\r\nassert(iscombo(10,8,2))\r\n%%\r\nassert(~iscombo(26,11,7))\r\n%%\r\nassert(~iscombo(25,15,12))\r\n%%\r\nassert(iscombo(24,7,3))\r\n\r\n%% Check some non-combos\r\nfor k = 1:20\r\n    m = randi([2 15]);\r\n    n = randi([2 15]);\r\n    x = m*n - m - n;\r\n    assert(iscombo(x,m,n) == (gcd(m,n) ~= 1))\r\nend\r\n\r\n%% Check some obvious combos\r\nfor k = 1:20\r\n    m = randi([2 15]);\r\n    n = randi([2 15]);\r\n    a = randi([2 15]);\r\n    b = randi([2 15]);\r\n    assert(iscombo(a*m+b*n,m,n))\r\nend","published":true,"deleted":false,"likes_count":11,"comments_count":6,"created_by":140016,"edited_by":223089,"edited_at":"2022-10-04T06:01:05.000Z","deleted_by":null,"deleted_at":null,"solvers_count":433,"test_suite_updated_at":"2022-10-04T06:01:05.000Z","rescore_all_solutions":false,"group_id":1,"created_at":"2022-07-28T14:45:29.000Z","updated_at":"2026-03-20T13:57:00.000Z","published_at":"2022-10-03T14:10:23.000Z","restored_at":null,"restored_by":null,"spam":false,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven positive integers \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e, determine if \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e can be written as \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ex = am + bn\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e for any (non-negative) integers \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ea\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eb\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e. Your function should return logical \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e or \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003efalse\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eFor example\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(17,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e because 17 = 4*3 + 1*5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(18,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003etrue\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e because 18 = 6*3 + 0*5\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eiscombo(7,3,5)\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e should return false because 7 cannot be written as a combination of 3 \u0026amp; 5 (7 is not divisible by either 3 or 5 and 1*3 + 1*5 = 8)\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eHint: You can start by calculating all possible values of combining \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003em\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e and \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:rFonts w:cs=\\\"monospace\\\"/\u003e\u003c/w:rPr\u003e\u003cw:t\u003en\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"}],"term":"group:\"MATLAB Fundamentals - Matrices and Arrays\"","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":"group:\"MATLAB Fundamentals - Matrices and Arrays\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"group":[["group:\"MATLAB Fundamentals - Matrices and Arrays\"","","\"","MATLAB Fundamentals - Matrices and Arrays","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007f4f50bde6a0\u003e":["MATLAB Fundamentals - Matrices and Arrays"],"#\u003cMathWorks::Search::Field:0x00007f4f50bde600\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007f4f50bdcc60\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007f4f50bdec40\u003e":1,"#\u003cMathWorks::Search::Field:0x00007f4f50bdeba0\u003e":50,"#\u003cMathWorks::Search::Field:0x00007f4f50bde7e0\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007f4f50bde740\u003e":"group:\"MATLAB Fundamentals - Matrices and Arrays\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007f4f50bde740\u003e":"group:\"MATLAB Fundamentals - Matrices and Arrays\""},"queried_facets":{"#\u003cMathWorks::Search::Field:0x00007f4f50bde6a0\u003e":["MATLAB Fundamentals - Matrices and Arrays"]}},"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":"search","password":"J3bGPZzQ7asjJcCk","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":"group:\"MATLAB Fundamentals - Matrices and Arrays\"","current_player":null,"sort":"map(difficulty_value,0,0,999) asc"},"parser":"MathWorks::Search::Solr::QueryParser","directives":{"term":{"directives":{"group":[["group:\"MATLAB Fundamentals - Matrices and Arrays\"","","\"","MATLAB Fundamentals - Matrices and Arrays","\""]]}}},"facets":{"#\u003cMathWorks::Search::Field:0x00007f4f50bde6a0\u003e":["MATLAB Fundamentals - Matrices and Arrays"],"#\u003cMathWorks::Search::Field:0x00007f4f50bde600\u003e":null},"filters":{"#\u003cMathWorks::Search::Field:0x00007f4f50bdcc60\u003e":"\"cody:problem\""},"fields":{"#\u003cMathWorks::Search::Field:0x00007f4f50bdec40\u003e":1,"#\u003cMathWorks::Search::Field:0x00007f4f50bdeba0\u003e":50,"#\u003cMathWorks::Search::Field:0x00007f4f50bde7e0\u003e":"map(difficulty_value,0,0,999) asc","#\u003cMathWorks::Search::Field:0x00007f4f50bde740\u003e":"group:\"MATLAB Fundamentals - Matrices and Arrays\""},"user_query":{"#\u003cMathWorks::Search::Field:0x00007f4f50bde740\u003e":"group:\"MATLAB Fundamentals - Matrices and Arrays\""},"queried_facets":{"#\u003cMathWorks::Search::Field:0x00007f4f50bde6a0\u003e":["MATLAB Fundamentals - Matrices and Arrays"]}},"options":{"fields":["id","difficulty_rating"]},"join":" "},"results":[{"id":54440,"difficulty_rating":"easy-medium"},{"id":55220,"difficulty_rating":"easy-medium"},{"id":55240,"difficulty_rating":"easy-medium"},{"id":55250,"difficulty_rating":"easy-medium"},{"id":55230,"difficulty_rating":"easy-medium"},{"id":55245,"difficulty_rating":"easy-medium"},{"id":2064,"difficulty_rating":"easy-medium"},{"id":54485,"difficulty_rating":"medium"},{"id":55225,"difficulty_rating":"medium"},{"id":55235,"difficulty_rating":"medium"}]}}