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ML-For-Beginners/2-Regression/4-Logistic/solution/R/lesson_4.html

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GaG4CddYBlLYTDw4SBzF04uPoeXrn5OJzMAcSDggQC7cBkwAAAAEAYANfArwF4gAwAGhACgAAADAAMBgXAwcrS7AZUFhAIi0pKCQgHxsTEA8LCAcEDgEAAR4CAQEBAAAAJAAAAA0BIAMbQCstKSgkIB8bExAPCwgHBA4BAAEeAAABAQAAACMAAAABAAAkAgEBAAEAACEEWbA4KwE1NDY3Bg8BJzc2Ny4BLwE3FxYXLgE9ATMVFAc+AT8BFwcOAQceAR8BBycuAScWHQEBYgUHFCGsLKwkJRQjEq0srSMWCQdYDgsbEawsrBEhEhIhEa0srRIcCxADX8UTIhAZFGNLZBUDAgsMZUtkFCASJRTGxSkfDxYLY0tkCwwCAgsLZUtkCxYQISfGAAAAAQBkAK4EIgSOAAsAdUASAAAACwALCgkIBwYFBAMCAQcHK0uw6FBYQCUGAQUAAgUAACMEAQADAQECAAEAACYGAQUFAgAAJAACBQIAACEEG0AtBgEFAAIFAAAjAAQAAwEEAwAAJgAAAAECAAEAACYGAQUFAgAAJAACBQIAACEFWbA4KwERIRUhESMRITUhEQKLAZf+aZL+awGVBI7+VYf+UgGuhwGrAAAAAQBe/vEBUADsAB4AX0AGGxkGBAIHK0uwX1BYQBIPAQEbAAAAAQEAJAABAQwBIAMbS7BsUFhAEg8BARsAAAABAQAkAAEBDwEgAxtAGw8BARsAAAEBAAEAIwAAAAEBACQAAQABAQAhBFlZsDgrNzQ+AjMyHgIVFA4CBycmNTQ3PgM3IyIuAl4RHywaHi8fEBowRy0eDQ4KHyAbBg0aKh8RexcpHxIWJzMeLWFfWiYdDBANDgslMDohEiEtAAABAGQCDAJSAqMAAwAlQAYDAgEAAgcrQBcAAAEBAAAAIwAAAAEAACQAAQABAAAhA7A4KxMhFSFkAe7+EgKjlwAAAQBY//EBUQDsABMAU0AGEA4GBAIHK0uwX1BYQA4AAAABAQAkAAEBEgEgAhtLsGxQWEAOAAAAAQEAJAABARUBIAIbQBcAAAEBAAEAIwAAAAEBACQAAQABAQAhA1lZsDgrNzQ+AjMyHgIVFA4CIyIuAlgTIS4aGi4iExMiLhoaLiETbhouIhQUIi4aGy0iExMiLQAAAAH/9P+mAvYFwQAJAC1ABgkHBAICBytLsI1QWEAMAAABADUAAQENASACG0AKAAEAATQAAAArAlmwOCsXDgErAQE+ATsBoQ43HUsCWQ0wIUsVIyIF2SAiAAACADz/8QRMBakAEwAnAHdACiQiGhgQDgYEBAcrS7BfUFhAGgACAgEBACQAAQERHwADAwABACQAAAASACAEG0uwbFBYQBgAAQACAwECAQAmAAMDAAEAJAAAABUAIAMbQCEAAQACAwECAQAmAAMAAAMBACMAAwMAAQAkAAADAAEAIQRZWbA4KwEUAg4BIyIuAQI1NBI+ATMyHgESBzQuAiMiDgIVFB4CMzI+AgRMUYy/bW69jFBQjL1ubb+MUbk3XXpCQnpcNzdcekJCel03Asy8/u20WFi0ARO8vAEUtVhYtf7svKTfiDs7iN+kpN6IOzuI3gAAAQDKAAAEHwWcABIAy0AMEhEQDw4NCQcBAAUHK0uwX1BYQCMMBAIBAgEeAAECAAIBADIAAgILHwMBAAAEAAIkAAQEDAQgBRtLsGxQWEAgDAQCAQIBHgACAQI0AAEAATQDAQAABAACJAAEBA8EIAUbS7DoUFhAKgwEAgECAR4AAgECNAABAAE0AwEABAQAAAAjAwEAAAQAAiQABAAEAAIhBhtALwwEAgECAR4AAgECNAABAAE0AAMABAADKgAAAwQAAAAjAAAABAACJAAEAAQAAiEHWVlZsDgrJSERNDcFDgEjIiYvAQEzESEVIQEfATQD/wAKFAkPGAY4AaqRARr9AIgD0Swt2wgHDQlNAXH67IgAAAAAAQBoAAAEJAWpADMAtkAQAQAsKiQiFBMQDQAzATMGBytLsF9QWEAtLwEEAwsBAgECHgAEAwEDBAEyAAMDAAEAJAUBAAARHwABAQIAACQAAgIMAiAGG0uwbFBYQCsvAQQDCwECAQIeAAQDAQMEATIFAQAAAwQAAwEAJgABAQIAACQAAgIPAiAFG0A0LwEEAwsBAgECHgAEAwEDBAEyBQEAAAMEAAMBACYAAQICAQEAIwABAQIAACQAAgECAAAhBllZsDgrATIeAhUUDgIHAT4BMyEyFh0BITU0NjcBPgM1NC4CIyIOAgcOASMiJi8BPgMCWVuec0IwUms8/ocoUiYB4B0i/EQPEQHLOV5DJChGXjY2XEcxCgggGgULB10OUHufBak2Z5ReUIh9dT3+fgsNIhtsPRMoEQHNOmtsbz8/Xz4fIDlOLx0aAQEQYpdmNQAAAQBs//AELgWpAEoA/kAWAQBDQTs5MTAvLiYkGxkTEQBKAUoJBytLsF9QWEBDRgEHBgoBBAUXAQMCAx4ABwYFBgcFMgACBAMEAgMyAAUABAIFBAEAJgAGBgABACQIAQAAER8AAwMBAQAkAAEBEgEgCBtLsGxQWEBBRgEHBgoBBAUXAQMCAx4ABwYFBgcFMgACBAMEAgMyCAEAAAYHAAYBACYABQAEAgUEAQAmAAMDAQEAJAABARUBIAcbQEpGAQcGCgEEBRcBAwIDHgAHBgUGBwUyAAIEAwQCAzIIAQAABgcABgEAJgAFAAQCBQQBACYAAwEBAwEAIwADAwEBACQAAQMBAQAhCFlZsDgrATIeAhUUDgIHHgEVFA4CIyIuAic3NjMyFhceARceAzMyPgI1NC4CIzU+AzU0LgIjIg4CBw4BIyImLwE+AwJsW5pvPiNBXDmMjUuCrWNyonBIGUwVFRQfCAIEAg4oRGVLS3FLJh9Rj3BbgVIlJ0RdNjZcRzAMCCAZBQsHXQ5Qe58FqTRgiFNEa1E4ESWug2Oebzs5ZIlQIAkREgQJBR1JQCwxTmAvOmBGKIEBJkJcOD5cPB4gOU8uHRoBARBil2Y1AAIAKAAABGAFmQAQABYAyUAOFhUQDwsJCAcGBAEABgcrS7BfUFhAHhQBAAQBHgUBAAMBAQIAAQEAJgAEBAsfAAICDAIgBBtLsGxQWEAgFAEABAEeBQEAAwEBAgABAQAmAAQEAgAAJAACAg8CIAQbS7DoUFhAKRQBAAQBHgAEAAIEAAAjBQEAAwEBAgABAQAmAAQEAgAAJAACBAIAACEFG0AxFAEABAEeAAQAAgQAACMABQADAQUDAQAmAAAAAQIAAQEAJgAEBAIAACQAAgQCAAAhBllZWbA4KwEzFRQGKwERIxEhIiYvAQEzAzQ2NwEhA4fZExSynf2FFB0EEgK5pp0DBf33AgECBWYQFv6HAXkXEVsDnf67Gjwg/TsAAQBs//AD/gWZAC4A4EAQLi0pJx8dGhgSEAgGBAIHBytLsF9QWEA7BQEFASwrAgMFFgECBAMeAAMFBAUDBDIAAQAFAwEFAQAmAAAABgAAJAAGBgsfAAQEAgEAJAACAhICIAcbS7BsUFhAOQUBBQEsKwIDBRYBAgQDHgADBQQFAwQyAAYAAAEGAAEAJgABAAUDAQUBACYABAQCAQAkAAICFQIgBhtAQgUBBQEsKwIDBRYBAgQDHgADBQQFAwQyAAYAAAEGAAEAJgABAAUDAQUBACYABAICBAEAIwAEBAIBACQAAgQCAQAhB1lZsDgrARQGIyEDNjMyHgIVFA4CIyIuAic3NjMyHgIzMj4CNTQuAiMiBgcnEyED0jA5/j5CcF9wq3Q7UIu8bT90ZFYhNhIeEzNIYUNLeFUuJ092TzZ0PnB0AqcFSyYx/ogYQnSeXXK4g0YZKjYeTBofJh8wWXxNQ2xMKhIUIQKeAAAAAAIAbP/wBDIFmQAaAC4An0AQAQArKSEfFxULCQAaARoGBytLsF9QWEAkGAEEAAEeBQEAAAQDAAQBACYAAgILHwADAwEBACQAAQESASAFG0uwbFBYQCQYAQQAAR4AAgACNAUBAAAEAwAEAQAmAAMDAQEAJAABARUBIAUbQC0YAQQAAR4AAgACNAUBAAAEAwAEAQAmAAMBAQMBACMAAwMBAQAkAAEDAQEAIQZZWbA4KwEyHgIVFA4CIyIuAjU0NjcBPgE7AQE+AQEUHgIzMj4CNTQuAiMiDgICilaadERIgbZtbK98Q1RbAWsOMiCe/g8zfP7WKE1vR0h0Uy0sUHBDSHRRKwNuOW2fZmOqfkhFf7VwXtR6AekSGf2LIyf+TEVyUi0uUnBCRnFPKjFTbQAAAAABAG4AAAQ8BZkAEgBqQAwAAAASABIPDQkHBAcrS7BfUFhAFAABAQIAACQDAQICCx8AAAAMACADG0uwbFBYQBIDAQIAAQACAQEAJgAAAA8AIAIbQB4AAAEANQMBAgEBAgAAIwMBAgIBAQAkAAECAQEAIQRZWbA4KwEVFAYHAQ4BKwEBPgE3ISImPQEEPA8I/a8NLid/AloNGxH9FBEbBZlQIiwP+1MaJQSeGSoTGxF5AAMAYP/wBCYFqQAfADMARwDEQBo1NCEgAQA/PTRHNUcrKSAzITMRDwAfAR8JBytLsF9QWEAuGAgCAwQBHggBBAADAgQDAQAmAAUFAQEAJAABAREfBwECAgABACQGAQAAEgAgBhtLsGxQWEAsGAgCAwQBHgABAAUEAQUBACYIAQQAAwIEAwEAJgcBAgIAAQAkBgEAABUAIAUbQDYYCAIDBAEeAAEABQQBBQEAJggBBAADAgQDAQAmBwECAAACAQAjBwECAgABACQGAQACAAEAIQZZWbA4KwUiLgI1NDY3LgE1ND4CMzIeAhUUBgceARUUDgInMj4CNTQuAiMiDgIVFB4CEzI+AjU0LgIjIg4CFRQeAgJDa7KARpCGcXM+cp9iYaByPnRwhpBHf7JrRm9NKTFTbDs7bFMxKU1vRkZjPhwhQWFAQGFBIRw+YxA5apdeirMmKqd0T4pmOjpmik90pyoms4pel2o5jidHYzxKaUIfH0JpSjxjRycCsCtHXDEyWEImJkJYMjFcRysAAAIAlAAABDYFqQAfADMAnUAQAQAwLiYkGRcLCQAfAR8GBytLsF9QWEAkHQEABAEeAAQFAQACBAABACYAAwMBAQAkAAEBER8AAgIMAiAFG0uwbFBYQCIdAQAEAR4AAQADBAEDAQAmAAQFAQACBAABACYAAgIPAiAEG0AtHQEABAEeAAIAAjUAAQADBAEDAQAmAAQAAAQBACMABAQAAQAkBQEABAABACEGWVmwOCsBIi4CNTQ+AjMyHgIVFA4CBwEOASsBAT4BNw4BATQuAiMiDgIVFB4CMzI+AgIlUZFuQUZ+rmhnqHhBFyw9J/6jDTAfpAG0FiYRN4oBGStMaT9CbU0qJ0lpQUhvTCgCTDZpmWNepHpGRHqqZz5vamk4/ggTFwI7HTQaLC4Bo0NtTCkrTGo/RGtKJi9OZgAAAAACAID/8QF5A9oAEwAnAJhACiQiGhgQDgYEBAcrS7AkUFhAGgADAwIBACQAAgIOHwAAAAEBACQAAQESASAEG0uwX1BYQBgAAgADAAIDAQAmAAAAAQEAJAABARIBIAMbS7BsUFhAGAACAAMAAgMBACYAAAABAQAkAAEBFQEgAxtAIQACAAMAAgMBACYAAAEBAAEAIwAAAAEBACQAAQABAQAhBFlZWbA4Kzc0PgIzMh4CFRQOAiMiLgIRND4CMzIeAhUUDgIjIi4CgBMhLhoaLiITEyIuGhouIRMTIS4aGi4iExMiLhoaLiETbhouIhQUIi4aGy0iExMiLQMJGi4iFBQiLhobLSITEyItAAAAAgCA/vEBeQPaAB4AMgCoQAovLSUjGxkGBAQHK0uwJFBYQB4PAQEbAAMDAgEAJAACAg4fAAAAAQEAJAABAQwBIAUbS7BfUFhAHA8BARsAAgADAAIDAQAmAAAAAQEAJAABAQwBIAQbS7BsUFhAHA8BARsAAgADAAIDAQAmAAAAAQEAJAABAQ8BIAQbQCUPAQEbAAIAAwACAwEAJgAAAQEAAQAjAAAAAQEAJAABAAEBACEFWVlZsDgrNzQ+AjMyHgIVFA4CBycmNTQ3PgM3IyIuAgM0PgIzMh4CFRQOAiMiLgKGER8sGh4vHxAaMEctHg0OCh8gGwYNGiofEQYTIS4aGi4iExMiLhoaLiETexcpHxIWJzMeLWFfWiYdDBANDgslMDohEiEtAvwaLiIUFCIuGhstIhMTIi0AAQCUAOoDmgRXABIAB0AEAREBCysTARUUBgcFDgEHHgEXBR4BHQEBlAMGEBT+PxQtGRktFAHBFBD8+gLGAZF/ERkK5AsPBgUQCuMKGhCAAZIAAAAAAgCWAbcD8QONAAMABwAzQAoHBgUEAwIBAAQHK0AhAAIAAwACAwAAJgAAAQEAAAAjAAAAAQAAJAABAAEAACEEsDgrEyEVIREhFSGWA1v8pQNb/KUCPocB1ocAAAABAO4A6gPzBFcAEgAHQAQQAAELKzc1NDY3JT4BNy4BJyUuAT0BARXuEBQBwRQrGRkrFP4/FBADBeqAEBoK4woQBQYPC+QKGRF//m9KAAAAAAIAIv/xAvgFqQAoADwAxkAOOTcvLSclIiATEgYEBgcrS7BfUFhAMwABAgAUAQEDAh4AAwIBAgMBMgABBAIBBDAAAgIAAQAkAAAAER8ABAQFAQAkAAUFEgUgBxtLsGxQWEAxAAECABQBAQMCHgADAgECAwEyAAEEAgEEMAAAAAIDAAIBACYABAQFAQAkAAUFFQUgBhtAOgABAgAUAQEDAh4AAwIBAgMBMgABBAIBBDAAAAACAwACAQAmAAQFBQQBACMABAQFAQAkAAUEBQEAIQdZWbA4KxM+AzMyHgIVFA4EDwEjJzU0PgQ1NC4CIyIOAiMiJxM0PgIzMh4CFRQOAiMiLgIiH0tZZzxPh2I4LUVSRzMEEnoMLUVPRS0iOk8tPVc8JQwZDpUTIS4aGi4iExMiLhoaLiETBRkdNCgXLlR4S0xuUz02NiGZpgsqQTk5RVg8K0YxGh4kHhf7oBouIhQUIi4aGy0iExMiLQACAFb/EQYcBU8AUQBhATlAIFNSAQBbWVJhU2FHRTs5NTMwLiYkHBoRDwcFAFEBUQ0HK0uwQ1BYQFATAQoCWAMCAwo3AQUGAx4ABgAFAAYFMgAIAAQCCAQBACYAAgAKAwIKAQAmDAkCAwELAgAGAwABACYABQcHBQEAIwAFBQcBACQABwUHAQAhCBtLsMdQWEBXEwEKAlgDAgkKNwEFBgMeAAYABQAGBTIACAAEAggEAQAmAAIACgkCCgEAJgwBCQMACQEAIwADAQsCAAYDAAEAJgAFBwcFAQAjAAUFBwEAJAAHBQcBACEJG0BYEwEKAlgDAgkKNwEFBgMeAAYABQAGBTIACAAEAggEAQAmAAIACgkCCgEAJgwBCQABAAkBAQAmAAMLAQAGAwABACYABQcHBQEAIwAFBQcBACQABwUHAQAhCVlZsDgrJSImJw4BIyIuAjU0PgIzMhYXAwYVFB4CMzI+AjU0LgIjIg4CFRQSHgEzMjY3NjMyHwEGBCMiJCYCNTQ+BDMyHgQVFA4CJTI+AjcTJiMiDgIVFBYEj05iDTqITjxYOx1BgL99Q2UtXRMSHykXMVhDJ1mb03qG6q5ka7n5j5jpVQ8MFQoZa/7vra3+1tt9N2SMrMZsXLCdhF81PWuR/gIfPzsxEUwnLkt9WjNCuktOUUYpSWQ6Va2LWBUU/pdLMSQvGwo4Zo9XitCLRWa09pGq/v+uWEIzCRhCSFJuzwEsvm3Kr5FnOShOc5W3a2y3hkx4FDJWQQEnCT9mhEVIVwAAAAIACgAABUkFmQANABUAv0AMDw4NDAsJBgUCAAUHK0uwX1BYQB0SAQQDAR4ABAABAAQBAAImAAMDCx8CAQAADAAgBBtLsGxQWEAdEgEEAwEeAAMEAzQABAABAAQBAAImAgEAAA8AIAQbS7DoUFhAKBIBBAMBHgADBAM0AgEAAQA1AAQBAQQAACMABAQBAAIkAAEEAQACIQYbQC4SAQQDAR4AAwQDNAACAQABAgAyAAAAMwAEAQEEAAAjAAQEAQACJAABBAEAAiEHWVlZsDgrISMiJicDIQMOASsBATMBIQMmJw4BBwVJlhogCIb9fYYHIhmWAj3F/pICF+EWFQsVChoUAVr+phIcBZn8ewJHNlEpRRoAAAMArgAABKAFmQAUAB8AKgC5QBYVFQAAKigiIBUfFR4YFgAUABMDAQgHK0uwX1BYQCwMAQMEAR4ABAcBAwIEAwEAJgAFBQABACQAAAALHwACAgEBACQGAQEBDAEgBhtLsGxQWEAqDAEDBAEeAAAABQQABQEAJgAEBwEDAgQDAQAmAAICAQEAJAYBAQEPASAFG0AzDAEDBAEeAAAABQQABQEAJgAEBwEDAgQDAQAmAAIBAQIBACMAAgIBAQAkBgEBAgEBACEGWVmwOCszESEyHgIVFA4CBx4BFRQOAiMBESEyPgI1NCYjJSEyPgI1NCYjIa4ByYS/ezshQ2VEnaBDgbt4/scBNlN3TSSdn/7LAQBSeE8mmKD++QWZNGCLVzViVEIVH6SGW5ZsOwKN/g0mRV85b4GKJEBbNn52AAABAFr/8AUJBakALgDNQBIBACknHx0YFhEPBwUALgEuBwcrS7BfUFhANBMBAwQDAQUAAh4AAwQABAMAMgYBAAUEAAUwAAQEAgEAJAACAhEfAAUFAQEAJAABARIBIAcbS7BsUFhAMhMBAwQDAQUAAh4AAwQABAMAMgYBAAUEAAUwAAIABAMCBAEAJgAFBQEBACQAAQEVASAGG0A7EwEDBAMBBQACHgADBAAEAwAyBgEABQQABTAAAgAEAwIEAQAmAAUBAQUBACMABQUBAQAkAAEFAQEAIQdZWbA4KwEyHwEOASMiLgECNTQSNiQzMhYXBw4BIyIuBCMiDgIVFB4CMzI+Ajc2BKAQDUxY+7Gb/LJiab4BCaCe5Vk/BxIRDR0oNkpiQHO/ik1NhbZpQGZXSyYRASgNU2Zya8EBDqKiAQ7Ca2JUWQoNExwgHBNPktKChtKRTA8gMSIPAAIArgAABYgFmQAMABkAd0AKFhQTEQkHBgQEBytLsF9QWEAaAAICAQEAJAABAQsfAAMDAAEAJAAAAAwAIAQbS7BsUFhAGAABAAIDAQIBACYAAwMAAQAkAAAADwAgAxtAIQABAAIDAQIBACYAAwAAAwEAIwADAwABACQAAAMAAQAhBFlZsDgrARQCBgQjIREhMgQWEgc0LgIjIREhMj4CBYhmuv78nv3oAhieAQS6ZsdIhLxz/qsBVXO8hEgCzKH++LxnBZlnvf74oYTQkEz7oUyP0AAAAQCuAAAEIQWZAAsAoEASAAAACwALCgkIBwYFBAMCAQcHK0uwX1BYQCUAAQACAwECAAAmAAAABQAAJAYBBQULHwADAwQAACQABAQMBCAFG0uwbFBYQCMGAQUAAAEFAAAAJgABAAIDAQIAACYAAwMEAAAkAAQEDwQgBBtALAYBBQAAAQUAAAAmAAEAAgMBAgAAJgADBAQDAAAjAAMDBAAAJAAEAwQAACEFWVmwOCsBFSERIRUhESEVIREEIf1QAi390wKw/I0FmZ7+JJj+F54FmQAAAAABAK4AAAQhBZkACQCLQBAAAAAJAAkIBwYFBAMCAQYHK0uwX1BYQB4AAQACAwECAAAmAAAABAAAJAUBBAQLHwADAwwDIAQbS7BsUFhAHAUBBAAAAQQAAAAmAAEAAgMBAgAAJgADAw8DIAMbQCcAAwIDNQUBBAAAAQQAAAAmAAECAgEAACMAAQECAAAkAAIBAgAAIQVZWbA4KwEVIREhFSERIxEEIf1QAkz9tMMFmZ7+C579mAWZAAAAAQBa//AFQAWpADQA5UAUAQAsKiUjHRsTEQwLCAYANAE0CAcrS7BfUFhAOyEBBQYFAQABDQEDAAMeAAUGAgYFAjIAAgABAAIBAQAmAAYGBAEAJAAEBBEfBwEAAAMBACQAAwMSAyAHG0uwbFBYQDkhAQUGBQEAAQ0BAwADHgAFBgIGBQIyAAQABgUEBgEAJgACAAEAAgEBACYHAQAAAwEAJAADAxUDIAYbQEMhAQUGBQEAAQ0BAwADHgAFBgIGBQIyAAQABgUEBgEAJgACAAEAAgEBACYHAQADAwABACMHAQAAAwEAJAADAAMBACEHWVmwOCslMj4CNxEjIiY9ASERDgMjIiQmAjU0EjYkMzIeAhcHBiMiJy4DIyIOAhUUHgIDLTphVkwm3hMXAbg2dYWYWZz+/LxpZ78BD6hVkn1qLjcRGxATGT5ZeVN5xIpKTYzAjQsWHxQBPBYQbv3aJzonE2vBAQ6ipAEOwWoZL0MqWBsLDiglGk+T0YKI1ZROAAAAAQCuAAAFOAWZAAsAskAOCwoJCAcGBQQDAgEABgcrS7BfUFhAGAAEAAEABAEAACYFAQMDCx8CAQAADAAgAxtLsGxQWEAaAAQAAQAEAQAAJgUBAwMAAAAkAgEAAA8AIAMbS7DoUFhAJAUBAwQAAwAAIwAEAAEABAEAACYFAQMDAAAAJAIBAAMAAAAhBBtAKwAFBAAFAAAjAAQAAQIEAQAAJgADAAIAAwIAACYABQUAAAAkAAAFAAAAIQVZWVmwOCshIxEhESMRMxEhETMFOMP8/MPDAwTDAoz9dAWZ/YECfwABANIAAAGUBZkAAwBRQAYDAgEAAgcrS7BfUFhADAABAQsfAAAADAAgAhtLsGxQWEAOAAEBAAAAJAAAAA8AIAIbQBcAAQAAAQAAIwABAQAAACQAAAEAAAAhA1lZsDgrISMRMwGUwsIFmQAAAAABADz/8ALJBZkAFwCtQAoXFhEPDgwGBAQHK0uwGlBYQBoHAQABAR4AAwMLHwIBAQEAAQAkAAAAEgAgBBtLsF9QWEAhBwEAAgEeAAEDAgMBAjIAAwMLHwACAgABACQAAAASACAFG0uwbFBYQB4HAQACAR4AAwEDNAABAgE0AAICAAEAJAAAABUAIAUbQCcHAQACAR4AAwEDNAABAgE0AAIAAAIBACMAAgIAAQAkAAACAAEAIQZZWVmwOCsBFA4CIyInPgE3PgEzMhYzMj4CNREzAsk7c6htYWkCBgMCFRUSPDJCZ0clwQHveL6DRhwdORwRFRIoVINaA64AAAABAMIAAAU6BZkAIgDKQA4iISAfHhwTEQkHAgAGBytLsF9QWEAeDQEDAAEeAAAAAwIAAwEAJgUBAQELHwQBAgIMAiAEG0uwbFBYQCANAQMAAR4AAAADAgADAQAmBQEBAQIBACQEAQICDwIgBBtLsOhQWEAqDQEDAAEeBQEBAAIBAQAjAAAAAwIAAwEAJgUBAQECAQAkBAECAQIBACEFG0AxDQEDAAEeAAEFAgEBACMAAAADBAADAQAmAAUABAIFBAAAJgABAQIBACQAAgECAQAhBllZWbA4KwEzMjY3AT4BOwEBDgEHHgEXASMiLgInAS4DKwERIxEzAYNJJi0UAd0WKSCl/d4VJRUcKhcCOqgTGhMQCP4RCxMZIRhYwcEDJRMXAhwZFf2XFyAKCSQb/VkGChAJAjkMEQwF/XAFmQAAAAEArgAAA9wFmQAFAGRACAUEAwIBAAMHK0uwX1BYQBMAAgILHwAAAAEAAiQAAQEMASADG0uwbFBYQBMAAgACNAAAAAEAAiQAAQEPASADG0AcAAIAAjQAAAEBAAAAIwAAAAEAAiQAAQABAAIhBFlZsDgrJSEVIREzAXACbPzSwqOjBZkAAAEArgAABoEFmQAjAMBADCAeHRwWEw0MCwkFBytLsF9QWEAcAwECAAEeAAIAAQACATIEAQAACx8DAQEBDAEgBBtLsGxQWEAeAwECAAEeAAIAAQACATIEAQAAAQAAJAMBAQEPASAEG0uw6FBYQCgDAQIAAR4AAgABAAIBMgQBAAIBAAEAIwQBAAABAAAkAwEBAAEAACEFG0AvAwECBAEeAAIEAwQCAzIAAAQBAAEAIwAEAAMBBAMAACYAAAABAAAkAAEAAQAAIQZZWVmwOCsBHgEXPgE3AT4BOwERIxE0NjcBBisBIicBHgEVESMRMzIWFwEDbw4VCgoWDgHlDRwaj6oCAv4VGS0cLRn+CgMDqo8aHA0B7wIGGDUbHDMaA3EXCvpnBB0VMBn8gC0tA4MaMhX74wWZChf8jgAAAAABAK4AAAU4BZkAFgCSQAwWFRQTDAoJCAEABQcrS7BfUFhADwQBAgAACx8DAQICDAIgAhtLsGxQWEARBAECAAACAQAkAwECAg8CIAIbS7DoUFhAHAQBAgACAgAAACMEAQIAAAIBACQDAQIAAgEAIQMbQCcAAAEEACgAAQQCAQAAIwAEAAMCBAMAAiYAAQECAQAkAAIBAgEAIQVZWVmwOCsBMhYXAS4BNREzESMiJicBHgEVESMRMwESGhkQAz4DAqpiFx8P/MMCAqpkBZkNFPvIGjEXA/f6ZxATBDcZMBT8AwWZAAACAFz/8QXhBakAEwAnAHdACiQiGhgQDgYEBAcrS7BfUFhAGgACAgEBACQAAQERHwADAwABACQAAAASACAEG0uwbFBYQBgAAQACAwECAQAmAAMDAAEAJAAAABUAIAMbQCEAAQACAwECAQAmAAMAAAMBACMAAwMAAQAkAAADAAEAIQRZWbA4KwEUAgYEIyIkJgI1NBI2JDMyBBYSBzQuAiMiDgIVFB4CMzI+AgXhZrr++56e/vy6Zma6AQSengEFumbHSIS8dHO8hUhIhbxzdLyESALMof7zwmtrwgENoaEBDcNsbMP+86GE0pFOTpHShITRkU1NkdEAAAIAwgAABH8FmQAOABkAi0AQAAAZFxEPAA4ADQUDAgEGBytLsF9QWEAeAAMFAQIAAwIBACYABAQBAQAkAAEBCx8AAAAMACAEG0uwbFBYQBwAAQAEAwEEAQAmAAMFAQIAAwIBACYAAAAPACADG0AnAAACADUAAQAEAwEEAQAmAAMCAgMBACMAAwMCAQAkBQECAwIBACEFWVmwOCsBESMRITIeAhUUDgIjJzMyPgI1NCYrAQGDwQGniMmEQUaHyIHm5lN/Viypq+YCGP3oBZk/dKRlZKZ4Q5osT25CiZoAAAAAAgBc/tgGJAWpABwAMAD7QAwtKyMhGRcPDQgGBQcrS7AJUFhAJgsFAgEEAR4AAAEANQADAwIBACQAAgIRHwAEBAEBACQAAQESASAGG0uwFVBYQCYLBQIBBAEeAAMDAgEAJAACAhEfAAQEAQEAJAABARIfAAAAEAAgBhtLsF9QWEAmCwUCAQQBHgAAAQA1AAMDAgEAJAACAhEfAAQEAQEAJAABARIBIAYbS7BsUFhAJAsFAgEEAR4AAAEANQACAAMEAgMBACYABAQBAQAkAAEBFQEgBRtALQsFAgEEAR4AAAEANQACAAMEAgMBACYABAEBBAEAIwAEBAEBACQAAQQBAQAhBllZWVmwOCsBFA4CBwEjIiYnAw4BIyIkJgI1NBI2JDMyBBYSBzQuAiMiDgIVFB4CMzI+AgXhKU5wRgFwoCQ4F/w5e0Oe/vy6Zma6AQSengEFumbHSIS8dHO8hUhIhbxzdLyESALMZbadgC/+cxQZARISFGvCAQ2hoQENw2xsw/7zoYTSkU5OkdKEhNGRTU2R0QACAMIAAATlBZkAGAAjAN9AEgAAIyEbGQAYABcTEQUDAgEHBytLsF9QWEAlDgEDBAEeAAQGAQMABAMBACYABQUBAQAkAAEBCx8CAQAADAAgBRtLsGxQWEAjDgEDBAEeAAEABQQBBQEAJgAEBgEDAAQDAQAmAgEAAA8AIAQbS7DoUFhALg4BAwQBHgIBAAMANQABAAUEAQUBACYABAMDBAEAIwAEBAMBACQGAQMEAwEAIQYbQDQOAQMEAR4AAgMAAwIAMgAAADMAAQAFBAEFAQAmAAQDAwQBACMABAQDAQAkBgEDBAMBACEHWVlZsDgrAREjESEyHgIVFA4CBxYXASMiJwEuASMnMzI+AjU0JisBAYPBAZWIxoE+MFuDUyQcAaKsNRn+jBEoKJPLVYFXLKmn1AJW/aoFmTdok1tMhGlKExUo/ccpAgAYFY0pS2g/gIIAAAAAAQA6//AD2wWpAD0AxkAOOzkoJiMhHBoJBwQCBgcrS7BfUFhAMz0BAQUeAQQDAh4AAAEDAQADMgADBAEDBDAAAQEFAQAkAAUFER8ABAQCAQAkAAICEgIgBxtLsGxQWEAxPQEBBR4BBAMCHgAAAQMBAAMyAAMEAQMEMAAFAAEABQEBACYABAQCAQAkAAICFQIgBhtAOj0BAQUeAQQDAh4AAAEDAQADMgADBAEDBDAABQABAAUBAQAmAAQCAgQBACMABAQCAQAkAAIEAgEAIQdZWbA4KwEOASMiLgIjIg4CFRQeBhUUDgIjIiYnNz4BMzIeAjMyPgI1NC4GNTQ+AjMyFhcDjAkUEBEtRWFFQWRDIjthe4F7YTtAe7Nyi+VROAgXDhU2UXNTRWxLKDtge4F7YDs7cKVreMZKBLkPDyIpIiM8US88TzgpLDdUellepXpGZVZcCw8tNi0mRWA7QVM4Jyk2VoFfTI5uQkxIAAEAHAAABH4FmQAHAJ1ADgAAAAcABwYFBAMCAQUHK0uwX1BYQBUCAQAAAwAAJAQBAwMLHwABAQwBIAMbS7BsUFhAEwQBAwIBAAEDAAAAJgABAQ8BIAIbS7DoUFhAHwABAAE1BAEDAAADAAAjBAEDAwAAACQCAQADAAAAIQQbQCUAAgMAAAIqAAEAATUEAQMCAAMAAiMEAQMDAAAAJAAAAwAAACEFWVlZsDgrARUhESMRITUEfv4xwv4vBZmj+woE9qMAAAABAKD/7wUVBZkAGQCdQA4BABQTDgwHBgAZARkFBytLsF9QWEAVAwEBAQsfBAEAAAIBACQAAgISAiADG0uwbFBYQBUDAQEAATQEAQAAAgEAJAACAhUCIAMbS7DoUFhAHwMBAQABNAQBAAICAAEAIwQBAAACAQAkAAIAAgEAIQQbQCMAAQMBNAADAAM0BAEAAgIAAQAjBAEAAAIBACQAAgACAQAhBVlZWbA4KyUyPgI1ETMRFA4CIyIuAjURMxEUHgIC21mMYTPBT5PUhITUlE/BM2GNmjxslloDZ/yZfNSbWFib1HwDZ/yaWpZsPQAAAAABAAgAAAVHBZkAEgB3QAgSERAOAgADBytLsF9QWEATCAECAAEeAQEAAAsfAAICDAIgAxtLsGxQWEATCAECAAEeAQEAAgA0AAICDwIgAxtLsOhQWEARCAECAAEeAQEAAgA0AAICKwMbQBUIAQIBAR4AAAEANAABAgE0AAICKwRZWVmwOCsTMzIWFwEeARc+ATcBPgE7AQEjCJsaIAgBlQ4XCwkVDgGTByIZnP24rwWZGhT8DSJQKytQIgPzER36ZwABAA4AAAfnBZkAKACTQAwoJyAfHhwRDgIABQcrS7BfUFhAFyMWCAMDAAEeAgECAAALHwQBAwMMAyADG0uwbFBYQBcjFggDAwABHgIBAgADADQEAQMDDwMgAxtLsOhQWEAVIxYIAwMAAR4CAQIAAwA0BAEDAysDG0AhIxYIAwQCAR4AAAEANAABAgE0AAIEAjQABAMENAADAysGWVlZsDgrEzMyFhcBHgEXPgE3AT4BOwEyFhcBFhc+ATcBPgE7AQEjASYnDgEHASMOoRoiBgEoCA0GBw4JAVEGIxk4GiEHAU8SDgYKCAEpBSMZl/5Brv6VCwkFCQX+k64FmRoU/BwbPiIiPxoD5BEdGhT8HDRDITwaA+QSHPpnBEUfKRQlD/u7AAAAAQAOAAAE9gWZABsAokAKGxkRDw0LAwEEBytLsF9QWEAVDgACAgABHgEBAAALHwMBAgIMAiADG0uwbFBYQBcOAAICAAEeAQEAAAIBACQDAQICDwIgAxtLsOhQWEAhDgACAgABHgEBAAICAAEAIwEBAAACAQAkAwECAAIBACEEG0AoDgACAwEBHgABAwIBAQAjAAAAAwIAAwEAJgABAQIBACQAAgECAQAhBVlZWbA4KwkBMzIWFwE2NwE+ATsBCQEjIiYnAQYHAQ4BKwEB+/4nwRUUCAF2Bw4BYQkVD7n+JQHrwBYZCP6ABwv+igkXFbQC4AK5Dg39whUZAgwOEf1Q/RcXDgJZFRP9zw4XAAEACAAABOQFmQAUAH9ACBQSBgQCAQMHK0uwX1BYQBUMAwADAAEBHgIBAQELHwAAAAwAIAMbS7BsUFhAFQwDAAMAAQEeAgEBAAE0AAAADwAgAxtLsOhQWEATDAMAAwABAR4CAQEAATQAAAArAxtAFwwDAAMAAgEeAAECATQAAgACNAAAACsEWVlZsDgrAREjEQEzMhYXAR4BFz4BNwE+ATsBAtbB/fOqGh4LAUgUGwsLGhQBRwkfGawCOv3GAjoDXxoT/dMjPh4fPiICLRAdAAABAFYAAASUBZkADQB+QA4AAAANAA0MCwcGBQQFBytLsF9QWEAbAAICAwAAJAQBAwMLHwAAAAEAACQAAQEMASAEG0uwbFBYQBkEAQMAAgADAgAAJgAAAAEAACQAAQEPASADG0AiBAEDAAIAAwIAACYAAAEBAAAAIwAAAAEAACQAAQABAAAhBFlZsDgrARUUBwEhFSE1NDcBITUElBX81QMy+9ATAyz85wWZSCIe+42eTB4bBHaeAAAAAQCO/t8B/gX9AA0AOEAOAAAADQANCggHBQIBBQcrQCIAAAABAgABAQAmAAIDAwIBACMAAgIDAAAkBAEDAgMAACEEsDgrExEhFRQGKwERMzIWHQGOAXAbFqmpFhv+3wceRhYZ+c0ZF0YAAAAAAf/s/6YC7wXBAAkALUAGBwUCAAIHK0uwjVBYQAwAAQABNQAAAA0AIAIbQAoAAAEANAABASsCWbA4KwMzMhYXASMiJicUTCEwDQJZSx04DQXBIiD6JyIjAAEAWv7fAcoF/QANADNACg0MCwoHBQQCBAcrQCEAAgABAAIBAQAmAAADAwABACMAAAADAAAkAAMAAwAAIQSwOCsXNDY7AREjIiY9ASERIVobFqmpFhsBcP6Q2xQcBjMbFEb44gABAJ4DEwPdBZkAEQBbQAgRDwQCAQADBytLsF9QWEATCgEBAAEeAgEBAAE1AAAACwAgAxtLsOhQWEARCgEBAAEeAAABADQCAQEBKwMbQBUKAQIAAR4AAAIANAACAQI0AAEBKwRZWbA4KwEzASMiJicDLgEnBgcDDgErAQIEcwFmgREYCMQNEwcOF8IIFxSIBZn9ehQOAWAXKxUsK/6gDhQAAQAA/uMDFP9bAAMAK0AKAAAAAwADAgEDBytAGQIBAQAAAQAAIwIBAQEAAAAkAAABAAAAIQOwOCsFFSE1AxT87KV4eAABACYEiwGzBakACQAzQAoBAAYEAAkBCQMHK0uwX1BYQA0AAQABNQIBAAARACACG0ALAgEAAQA0AAEBKwJZsDgrEzIWHwEjIiYnA88hIA6VZhUaDuoFqRUX8g0PAQIAAAACAFz/8AN6BAcAKQA5ATJAFisqMTAqOSs5JSMeHBkXFBMLCQIACQcrS7AeUFhAOSEBBAMvBQIGBwIeAAQDAgMEAjIAAgAHBgIHAQAmAAMDBQEAJAAFBRQfCAEGBgABACQBAQAADAAgBxtLsF9QWEA9IQEEAy8FAgYHAh4ABAMCAwQCMgACAAcGAgcBACYAAwMFAQAkAAUFFB8AAAAMHwgBBgYBAQAkAAEBEgEgCBtLsGxQWEA7IQEEAy8FAgYHAh4ABAMCAwQCMgAFAAMEBQMBACYAAgAHBgIHAQAmAAAADx8IAQYGAQEAJAABARUBIAcbQEghAQQDLwUCBgcCHgAEAwIDBAIyAAAGAQYAATIABQADBAUDAQAmAAIABwYCBwEAJggBBgABBgEAIwgBBgYBAQAkAAEGAQEAIQhZWVmwOCshIyImLwEOAyMiLgI1ND4CNzU0JiMiDgIjIiYvAT4BMzIeAhUBMj4CNzUOAxUUHgIDek8aIAUUKExUXzo7Z0wtQpPurGVjQVlBLxcSGwggVMJ2VYRaLv4yL05FPx57rGwxGiw8EBpeJDknFCFCZUU8b1Y3BE92eSEpIRMOOVFQOGSOVf3lEyMyINMEHzJEKig6JREAAAAAAgCY//IEFgXBABYAJQFfQBYYFwAAHx0XJRglABYAFREPBwUCAQgHK0uwCVBYQCsbGhMDBAUEAR4AAAANHwcBBAQBAQAkAAEBFB8ABQUCAQAkBgMCAgISAiAGG0uwIlBYQCsbGhMDBAUEAR4AAAANHwcBBAQBAQAkAAEBFB8ABQUCAQAkBgMCAgIVAiAGG0uwX1BYQC8bGhMDBAUEAR4AAAANHwcBBAQBAQAkAAEBFB8GAQMDDB8ABQUCAQAkAAICFQIgBxtLsGxQWEAtGxoTAwQFBAEeAAEHAQQFAQQBACYAAAANHwYBAwMPHwAFBQIBACQAAgIVAiAGG0uwjVBYQCwbGhMDBAUEAR4AAQcBBAUBBAEAJgAFAAIFAgEAJQYBAwMAAAAkAAAADQMgBRtANhsaEwMEBQQBHgABBwEEBQEEAQAmAAUDAgUBACMAAAYBAwIAAwEAJgAFBQIBACQAAgUCAQAhBllZWVlZsDgrMxEzET4BMzIeAhUUDgIjIiYnBwYjASIGBxEeATMyNjU0LgKYsz+jaViOZDY8caNmYokzCQgmAVFXgzcwdUiOmCNCYAXB/aJJWUKDwX5wwY1RTERcJgN3UEn+FkI2yrtjjlsqAAAAAQBK//IDfwQFACoBAkAOKCYeHBgWExEJBwQCBgcrS7AJUFhAMyoBAQUaAQIDAh4AAAEDAQADMgADAgEDAjAAAQEFAQAkAAUFFB8AAgIEAQAkAAQEEgQgBxtLsF9QWEAzKgEBBRoBAgMCHgAAAQMBAAMyAAMCAQMCMAABAQUBACQABQUUHwACAgQBACQABAQVBCAHG0uwbFBYQDEqAQEFGgECAwIeAAABAwEAAzIAAwIBAwIwAAUAAQAFAQEAJgACAgQBACQABAQVBCAGG0A6KgEBBRoBAgMCHgAAAQMBAAMyAAMCAQMCMAAFAAEABQEBACYAAgQEAgEAIwACAgQBACQABAIEAQAhB1lZWbA4KwEOASMiLgIjIg4CFRQeAjMyPgIzMh8BDgEjIi4CNTQ+AjMyFhcDRQgQDw8jNk04SnJNJypMbURBVDgkEhcLMkLGbl+jeEU/ebJzaqQ/A0ELDBkeGTVkjlhcj2EzHyYfEUFRS0aFwnxxwItORT8AAAAAAgBI//IDxQXBABYAJQE7QBYYFwEAHx0XJRglFRQRDwcFABYBFggHK0uwIlBYQC4TAQUCGxoDAwQFAh4AAwMNHwAFBQIBACQAAgIUHwcBBAQAAQAkAQYCAAAMACAGG0uwX1BYQDITAQUCGxoDAwQFAh4AAwMNHwAFBQIBACQAAgIUHwYBAAAMHwcBBAQBAQAkAAEBFQEgBxtLsGxQWEAwEwEFAhsaAwMEBQIeAAIABQQCBQEAJgADAw0fBgEAAA8fBwEEBAEBACQAAQEVASAGG0uwjVBYQC8TAQUCGxoDAwQFAh4AAgAFBAIFAQAmBwEEAAEEAQEAJQYBAAADAAAkAAMDDQAgBRtAOhMBBQIbGgMDBAUCHgACAAUEAgUBACYHAQQAAQQBACMAAwYBAAEDAAEAJgcBBAQBAQAkAAEEAQEAIQZZWVlZsDgrISIvAQ4BIyIuAjU0PgIzMhYXETMRJTI2NxEuASMiBhUUHgIDWyYKEEGnbFeOZDY8caJnXYQ0sv49V4M3MXVHjpgiQmAle09fQ4LCfnDBjlE/OQIy+j+CUEkB6kI1yrtjjVsqAAAAAgBK//IDxwQFACQALQEQQBgmJQEAKSglLSYtHBoUEg8NCQcAJAEkCQcrS7AJUFhANBYBAgMBHgADAQIBAwIyAAYAAQMGAQEAJggBBQUAAQAkBwEAABQfAAICBAEAJAAEBBIEIAcbS7BfUFhANBYBAgMBHgADAQIBAwIyAAYAAQMGAQEAJggBBQUAAQAkBwEAABQfAAICBAEAJAAEBBUEIAcbS7BsUFhAMhYBAgMBHgADAQIBAwIyBwEACAEFBgAFAQAmAAYAAQMGAQEAJgACAgQBACQABAQVBCAGG0A7FgECAwEeAAMBAgEDAjIHAQAIAQUGAAUBACYABgABAwYBAQAmAAIEBAIBACMAAgIEAQAkAAQCBAEAIQdZWVmwOCsBMh4CFRQGIyEeAzMyPgIzMh8BDgMjIi4CNTQ+AhciBgchNC4CAiNbmnA/Ehn9XgIwVHRIQ2FGLxEWDDIhXGlwN2mxgUhBerBygZQSAiciQl8EBT1zqWwqHGCOXy8fJB8RQSg7JhNHicqDariHTYOVhD5nSykAAAAAAQAaAAAClAWuAB4BJUASAAAAHgAeHRwbGhUSDgwHBgcHK0uwMlBYQCsPAQIBAQEFBAIeAAICAQEAJAABAREfAAQEAAAAJAMBAAAOHwYBBQUMBSAGG0uwX1BYQCkPAQIBAQEFBAIeAwEAAAQFAAQAACYAAgIBAQAkAAEBER8GAQUFDAUgBRtLsGxQWEAnDwECAQEBBQQCHgABAAIAAQIBACYDAQAABAUABAAAJgYBBQUPBSAEG0uw6FBYQDMPAQIBAQEFBAIeBgEFBAU1AAEAAgABAgEAJgMBAAQEAAAAIwMBAAAEAAAkAAQABAAAIQYbQDkPAQIBAQEFBAIeAAACAwIAAzIGAQUEBTUAAQACAAECAQAmAAMEBAMAACMAAwMEAAAkAAQDBAAAIQdZWVlZsDgrMxEnLgE9ATM1ND4CMzIXBw4BKwEiDgIdASEVIRG6cBUboDFbgFBEOgQBIB0fLks2HQEl/uEDXQ0FFRRJYleHXTAUWRQIGDZYQV2B/KAAAwAy/pMD3gQGADkATQBdAWBAHE9OAQBXVU5dT11KSEA+IyEZFxAOBAMAOQE5CwcrS7AZUFhARQgBBwgyEQICB0EqAgUDAx4KAQcAAgMHAgEAJgADAAUGAwUBACYAAQEOHwAICAABACQJAQAAFB8ABgYEAQAkAAQEFgQgCBtLsElQWEBICAEHCDIRAgIHQSoCBQMDHgABAAgAAQgyCgEHAAIDBwIBACYAAwAFBgMFAQAmAAgIAAEAJAkBAAAUHwAGBgQBACQABAQWBCAIG0uwX1BYQEUIAQcIMhECAgdBKgIFAwMeAAEACAABCDIKAQcAAgMHAgEAJgADAAUGAwUBACYABgAEBgQBACUACAgAAQAkCQEAABQIIAcbQE8IAQcIMhECAgdBKgIFAwMeAAEACAABCDIJAQAACAcACAEAJgoBBwACAwcCAQAmAAMABQYDBQEAJgAGBAQGAQAjAAYGBAEAJAAEBgQBACEIWVlZsDgrATIWFyEVFA8BFhUUDgIjIicOARUUHgYVFA4CIyIuAjU0NjcuATU0PgI3LgE1ND4CATQuBCcOARUUHgIzMj4CATI+AjU0JiMiBhUUHgIB50JzLwETKnMiOWWLU0c/ICE6YHp/emA6QXqwb2+nbjdfUyszECEwIEtVOWaNAZAqSF5obDE5RyNIbUpIck8q/sQ2UzgccWxrcR04UgQGHRxCIQkQQVBKeVYuERQuFiQlEAQJFjJYRkF6XzksSmE1S2kfFEM4Fi8uKhAqi11KeVUu+8MmLhkMBQYIG042IjsrGRowQgJOHjZLLV1ubl0tSzYeAAAAAQCSAAAD3QXBABUA9UAQAAAAFQAVEhANDAcFAgEGBytLsF9QWEAhFAMCAgMBHgAAAA0fAAMDAQEAJAABARQfBQQCAgIMAiAFG0uwbFBYQB8UAwICAwEeAAEAAwIBAwEAJgAAAA0fBQQCAgIPAiAEG0uwjVBYQCEUAwICAwEeAAEAAwIBAwEAJgUEAgICAAAAJAAAAA0CIAQbS7DoUFhAKhQDAgIDAR4AAAECAAAAIwABAAMCAQMBACYAAAACAAAkBQQCAgACAAAhBRtALhQDAgQDAR4AAgQCNQAAAQQAAAAjAAEAAwQBAwEAJgAAAAQAACQFAQQABAAAIQZZWVlZsDgrMxEzET4BMzIeAhURIxE0JiMiBgcRkrJBnmdTf1UssmlsT4k6BcH9rEVTN2WOVv17AoVzf0xB/RYAAAIAggAAAYAFswADABcAwkAOAAAUEgoIAAMAAwIBBQcrS7AJUFhAGQACAgMBACQAAwMRHwQBAQEOHwAAAAwAIAQbS7BfUFhAGQACAgMBACQAAwMNHwQBAQEOHwAAAAwAIAQbS7BsUFhAGwACAgMBACQAAwMNHwQBAQEAAAAkAAAADwAgBBtLsI1QWEAYBAEBAAABAAAAJQACAgMBACQAAwMNAiADG0AjAAMAAgEDAgEAJgQBAQAAAQAAIwQBAQEAAAAkAAABAAAAIQRZWVlZsDgrAREjERMUDgIjIi4CNTQ+AjMyHgIBWLLaFSMuGhotIxQUIy0aGi4jFQP1/AsD9QE+Gi0jFBQjLRoaLyMUFCMvAAAAAAL/yP6UAYAFswAUACgBAUAQAAAlIxsZABQAFBEMBwUGBytLsAlQWEAmCQEAAQEeAAMDBAEAJAAEBBEfBQECAg4fAAEBAAEAJAAAABYAIAYbS7BJUFhAJgkBAAEBHgADAwQBACQABAQNHwUBAgIOHwABAQABACQAAAAWACAGG0uwX1BYQCMJAQABAR4AAQAAAQABACUAAwMEAQAkAAQEDR8FAQICDgIgBRtLsI1QWEAmCQEAAQEeBQECAwEDAgEyAAEAAAEAAQAlAAMDBAEAJAAEBA0DIAUbQDAJAQABAR4FAQIDAQMCATIABAADAgQDAQAmAAEAAAEBACMAAQEAAQAkAAABAAEAIQZZWVlZsDgrAREUDgIjIiYnNz4BMzIWMzI2NRETFA4CIyIuAjU0PgIzMh4CAVggRW1MITYbCAIODwgSDU5C2hUjLhoaLSMUFCMtGhouIxUD9fvAPWlOLQoKYA0HAUlRBEABPhotIxQUIy0aGi8jFBQjLwAAAQCYAAAD+AXBAB4BEUASAAAAHgAeHRwbGRQSCggDAQcHK0uwX1BYQCMOAQMAAR4AAAADAgADAQAmBgEFBQ0fAAEBDh8EAQICDAIgBRtLsGxQWEAlDgEDAAEeAAAAAwIAAwEAJgYBBQUNHwABAQIBACQEAQICDwIgBRtLsI1QWEAoDgEDAAEeAAEAAgEBACMAAAADAgADAQAmBAECAgUAACQGAQUFDQUgBRtLsOhQWEAxDgEDAAEeBgEFAQIFAAAjAAEAAgEBACMAAAADAgADAQAmAAEBAgEAJAQBAgECAQAhBhtAMg4BAwABHgABAAIBAQAjAAAAAwQAAwEAJgYBBQAEAgUEAAAmAAEBAgEAJAACAQIBACEGWVlZWbA4KwERMzI2NwE+ATsBAQ4BBx4BFwEjIiYnAS4BKwERIxEBSy4UGhABQA8eGaL+iw4bERIdDQGMoBYfDv6zDx4eMrMFwfydCxEBVxAU/nMRGgoMHxT+DBESAZ8VDf4cBcEAAAAAAQCmAAABWAXBAAMAb0AKAAAAAwADAgEDBytLsF9QWEANAgEBAQ0fAAAADAAgAhtLsGxQWEANAgEBAQ0fAAAADwAgAhtLsI1QWEAPAAAAAQAAJAIBAQENACACG0AZAgEBAAABAAAjAgEBAQAAACQAAAEAAAAhA1lZWbA4KwERIxEBWLIFwfo/BcEAAAABAJIAAAXvBAUAKgEbQBYAAAAqAConJSIhHBoXFhEPCQcDAQkHK0uwHlBYQCEpCwUDAwQBHgYBBAQAAQAkAgECAAAOHwgHBQMDAwwDIAQbS7BfUFhAJSkLBQMDBAEeAAAADh8GAQQEAQEAJAIBAQEUHwgHBQMDAwwDIAUbS7BsUFhAJSkLBQMDBAEeAgEBBgEEAwEEAQAmAAAAAwAAJAgHBQMDAw8DIAQbS7DoUFhALikLBQMDBAEeAAAEAwABACMCAQEGAQQDAQQBACYAAAADAAAkCAcFAwMAAwAAIQUbQEApCwUDBwQBHgAFBwMHBQMyAAMDMwAABgcAAQAjAAEABgQBBgEAJgACAAQHAgQBACYAAAAHAAAkCAEHAAcAACEIWVlZWbA4KzMRMzIfAT4BMzIWFz4DMzIeAhURIxE0JiMiDgIVESMRNCYjIgYHEZJqJgoNOItcZ38cFUVWYTJQfVcusmhjLE88I7JiXkJxLwP1JWhFWHJhN1A0GDNij1z9ewKFd3sfPFs8/XsChXp4Rz39DQAAAAABAJIAAAPdBAUAFwDzQBAAAAAXABcUEg8OCQcDAQYHK0uwHlBYQB0WBQICAwEeAAMDAAEAJAEBAAAOHwUEAgICDAIgBBtLsF9QWEAhFgUCAgMBHgAAAA4fAAMDAQEAJAABARQfBQQCAgIMAiAFG0uwbFBYQCEWBQICAwEeAAEAAwIBAwEAJgAAAAIAACQFBAICAg8CIAQbS7DoUFhAKhYFAgIDAR4AAAMCAAEAIwABAAMCAQMBACYAAAACAAAkBQQCAgACAAAhBRtALhYFAgQDAR4AAgQCNQAAAwQAAQAjAAEAAwQBAwEAJgAAAAQAACQFAQQABAAAIQZZWVlZsDgrMxEzMh8BPgEzMh4CFREjETQmIyIGBxGSaiYKDkKja1N/VSyyaWxPiToD9SVuSVo3ZY5W/XsChXN/TEH9FgAAAAIASP/yBA4EBQATACMAq0ASFRQBABsZFCMVIwsJABMBEwYHK0uwCVBYQBwAAwMAAQAkBAEAABQfBQECAgEBACQAAQESASAEG0uwX1BYQBwAAwMAAQAkBAEAABQfBQECAgEBACQAAQEVASAEG0uwbFBYQBoEAQAAAwIAAwEAJgUBAgIBAQAkAAEBFQEgAxtAJAQBAAADAgADAQAmBQECAQECAQAjBQECAgEBACQAAQIBAQAhBFlZWbA4KwEyHgIVFA4CIyIuAjU0PgITMjY1NCYjIg4CFRQeAgIsb7N9Q0N9s29vs35ERH6zb5aUlJZMcEslJUtwBAVKiMF3eMCISUmIwHh3wYhK/HjJtLXKNGKPWlqOYTQAAAACAJL+qQQPBAcAFgAlAXVAFhgXAAAfHRclGCUAFgAWExEJBwMBCAcrS7AJUFhALhsaBQMFBBUBAgUCHgcBBAQAAQAkAQEAAA4fAAUFAgEAJAACAhIfBgEDAxADIAYbS7AaUFhALhsaBQMFBBUBAgUCHgcBBAQAAQAkAQEAAA4fAAUFAgEAJAACAhUfBgEDAxADIAYbS7BJUFhAMhsaBQMFBBUBAgUCHgAAAA4fBwEEBAEBACQAAQEUHwAFBQIBACQAAgIVHwYBAwMQAyAHG0uwX1BYQDQbGgUDBQQVAQIFAh4HAQQEAQEAJAABARQfAAUFAgEAJAACAhUfBgEDAwABACQAAAAOAyAHG0uwbFBYQC8bGgUDBQQVAQIFAh4AAQcBBAUBBAEAJgAABgEDAAMAACUABQUCAQAkAAICFQIgBRtAORsaBQMFBBUBAgUCHgAABAMAAQAjAAEHAQQFAQQBACYABQACAwUCAQAmAAAAAwAAJAYBAwADAAAhBllZWVlZsDgrExEzMh8BPgEzMh4CFRQOAiMiJicRASIGBxEeATMyNjU0LgKSaiYKD0GnbVeOZDY8cKNmXoUzARFXgzcxdUiNmCNCYP6pBUwleE9gQ4PCfnDBjVE+Of5ABM5QSf4WQjbKu2OOWyoAAAACAEj+qQPFBAcAFgAlAXZAFhgXAAAfHRclGCUAFgAVEQ8HBQIBCAcrS7AJUFhALhMBBQIbGgMDBAUCHgAFBQIBACQGAwICAhQfBwEEBAEBACQAAQESHwAAABAAIAYbS7AaUFhALhMBBQIbGgMDBAUCHgAFBQIBACQGAwICAhQfBwEEBAEBACQAAQEVHwAAABAAIAYbS7BJUFhAMhMBBQMbGgMDBAUCHgYBAwMOHwAFBQIBACQAAgIUHwcBBAQBAQAkAAEBFR8AAAAQACAHG0uwX1BYQDQTAQUDGxoDAwQFAh4ABQUCAQAkAAICFB8HAQQEAQEAJAABARUfAAAAAwEAJAYBAwMOACAHG0uwbFBYQC8TAQUDGxoDAwQFAh4AAgAFBAIFAQAmBgEDAAADAAAAJQcBBAQBAQAkAAEBFQEgBRtAOhMBBQMbGgMDBAUCHgYBAwUAAwEAIwACAAUEAgUBACYHAQQAAQAEAQEAJgYBAwMAAAAkAAADAAAAIQZZWVlZWbA4KwERIxEOASMiLgI1ND4CMzIWFzc2MwEyNjcRLgEjIgYVFB4CA8WyQKNpV45kNjxxomdiiTYMCib+p1eDNzB2R46YIkJgA/X6tAHtSlpDgsJ+cMGOUUZATyX8jVBJAepAN8q7Y41bKgABAJIAAAL6BAcAFgDhQBAAAAAWABYTERAOCggDAQYHK0uwGlBYQCEMAQIAFQYCBAICHgMBAgIAAQAkAQEAAA4fBQEEBAwEIAQbS7BfUFhALAwBAwAVBgIEAgIeAAIDBAMCBDIAAAAOHwADAwEBACQAAQEUHwUBBAQMBCAGG0uwbFBYQCwMAQMAFQYCBAICHgACAwQDAgQyAAEAAwIBAwEAJgAAAAQAACQFAQQEDwQgBRtANQwBAwAVBgIEAgIeAAIDBAMCBDIAAAMEAAEAIwABAAMCAQMBACYAAAAEAAAkBQEEAAQAACEGWVlZsDgrMxEzMhYfAT4BMzIWFwcGIyImIyIGBxGSZh0WBAw0mWcqRB0XBxgOOjRdfSoD9RYbnmp3ExGFGRNsZ/17AAABAD7/8AMPBAUAPADGQA46OCclIiAbGQgGAwEGBytLsF9QWEAzPAEBBR0BAgQCHgAAAQMBAAMyAAMEAQMEMAABAQUBACQABQUUHwAEBAIBACQAAgISAiAHG0uwbFBYQDE8AQEFHQECBAIeAAABAwEAAzIAAwQBAwQwAAUAAQAFAQEAJgAEBAIBACQAAgIVAiAGG0A6PAEBBR0BAgQCHgAAAQMBAAMyAAMEAQMEMAAFAAEABQEBACYABAICBAEAIwAEBAIBACQAAgQCAQAhB1lZsDgrAQYjIi4CIyIOAhUUHgYVFA4CIyImJzc+ATMyHgIzMj4CNTQuBjU0PgIzMhYXAtYMGQ8mN0w0LUgzGy1KXmNeSi0yYo5daqw8KggWEhIoOVE9NE40GS1KX2NfSi0wXIZWZJ86A04WFhsXFyg1Hyc0Jh0hKDxXPUZ3VzJFNkQNDhwiHBsuPCIqNycdICk+W0E6a1EwPzcAAAAAAQAs//ACugU+ACEBT0AUAQAdGxgWExIREA8NBgQAIQEhCAcrS7AyUFhAMwkBAQMfAQAFAh4AAgMCNAAGAQUBBgUyBAEBAQMAACQAAwMOHwAFBQABAiQHAQAAEgAgBxtLsF9QWEAxCQEBAx8BAAUCHgACAwI0AAYBBQEGBTIAAwQBAQYDAQEAJgAFBQABAiQHAQAAEgAgBhtLsGxQWEAxCQEBAx8BAAUCHgACAwI0AAYBBQEGBTIAAwQBAQYDAQEAJgAFBQABAiQHAQAAFQAgBhtLsOhQWEA6CQEBAx8BAAUCHgACAwI0AAYBBQEGBTIAAwQBAQYDAQEAJgAFAAAFAQAjAAUFAAECJAcBAAUAAQIhBxtAQAkBBAMfAQAFAh4AAgMCNAABBAYEAQYyAAYFBAYFMAADAAQBAwQAACYABQAABQEAIwAFBQABAiQHAQAFAAECIQhZWVlZsDgrBSImNREjIiY9ATcTPgE7AREhFSERFBYzMj4CMzIfAQ4BAcV4gXoQFqYpAhYRWgEi/t4+MRwpHhUIDgs0LoIQhn4CbBMURxUBOQ8T/qOB/aBAPg8SDxFVKzEAAAABAHr/8APFA/UAFwD4QBAAAAAXABcSEAwKCQgFAwYHK0uwHlBYQB0OBwIAAQEeBQQCAQEOHwAAAAIBACQDAQICDAIgBBtLsF9QWEAhDgcCAAEBHgUEAgEBDh8AAgIMHwAAAAMBACQAAwMSAyAFG0uwbFBYQCMOBwIAAQEeBQQCAQECAQAkAAICDx8AAAADAQAkAAMDFQMgBRtLsOhQWEAqDgcCAAEBHgAAAgMAAQAjBQQCAQACAwECAQAmAAAAAwEAJAADAAMBACEFG0AxDgcCAAQBHgUBBAEAAQQAMgAAAgMAAQAjAAEAAgMBAgEAJgAAAAMBACQAAwADAQAhBllZWVmwOCsBERQWMzI2NxEzESMiLwEOASMiLgI1EQEsamtOijqyaiYKDkKkalN/VisD9f16c35KQgLr/AslbUlZN2SOVgKGAAAAAQASAAAD7QP1ABIAd0AIEhEQDgIAAwcrS7BfUFhAEwgBAgABHgEBAAAOHwACAgwCIAMbS7BsUFhAEwgBAgABHgEBAAIANAACAg8CIAMbS7DoUFhAEQgBAgABHgEBAAIANAACAisDG0AVCAECAQEeAAABADQAAQIBNAACAisEWVlZsDgrEzMyFhcBHgEXPgE3AT4BOwEBIxKSFRwGAQEOEAcIEg4BBAYbFIv+Y6ED9RYP/XQkSCMjSCQCjBAV/AsAAQAOAAAF7wP3AC4AtUAMLiwiIB8dEQ4CAAUHK0uwX1BYQBcnFwgDAwABHgIBAgAADh8EAQMDDAMgAxtLsGxQWEAXJxcIAwMAAR4CAQIAAwA0BAEDAw8DIAMbS7DHUFhAFScXCAMDAAEeAgECAAMANAQBAwMrAxtLsOhQWEAZJxcIAwMAAR4AAQABNAIBAAMANAQBAwMrBBtAIScXCAMEAgEeAAEAATQAAAIANAACBAI0AAQDBDQAAwMrBllZWVmwOCsTMzIWFxMeARc+ATcTPgE7ATIWFxMeARc+ATcTPgE7AQEjIicDLgEnDgEHAwYrAQ6MFhwFwggOBQgUC9YFGRNNFBoF0QsRCAUQCcYFHBOG/riNGgrgCAoFBQoI4wsehgP1Fg/9dCRDIiJDJAKQDxQUD/1wI0QhIUgfAowQFfwLIgKvFy8XFzAX/VIiAAAAAQAcAAAD0gP1ABsAqkAKGxkRDw0LAwEEBytLsF9QWEAXFA4GAAQCAAEeAQEAAA4fAwECAgwCIAMbS7BsUFhAGRQOBgAEAgABHgEBAAACAQAkAwECAg8CIAMbS7DoUFhAIxQOBgAEAgABHgEBAAICAAEAIwEBAAACAQAkAwECAAIBACEEG0AqFA4GAAQDAQEeAAEDAgEBACMAAAADAgADAQAmAAEBAgEAJAACAQIBACEFWVlZsDgrCQEzMhYXEzY3Ez4BOwEJASMiJicDBgcDDgErAQF//qurFhQI+AkR2goUD6T+qwFjqxYZCP8HDuwKFxSfAgcB7g4N/oQcHAFADhH+HP3vFw4BjR0X/qcOFwABAA7+qQPwA/UAFgB7QAgWFAgGBAIDBytLsElQWEAUDgUCAAEBHgIBAQEOHwAAABAAIAMbS7BfUFhAFA4FAgABAR4AAAEANQIBAQEOASADG0uw6FBYQBIOBQIAAQEeAgEBAAE0AAAAKwMbQBYOBQIAAgEeAAECATQAAgACNAAAACsEWVlZsDgrAQ4BKwETATMyFhcBHgEXPgE3AT4BOwEBuwkbHIS5/l6aFxoGAQ8JDQUHDgkBBwYdEY7+1RQYAZIDuhcO/YIWLBcXLBcCfRAVAAAAAAEARgAAA1UD9QAPAHdACg8ODQwHBgUEBAcrS7BfUFhAGgACAgMAACQAAwMOHwAAAAEAACQAAQEMASAEG0uwbFBYQBgAAwACAAMCAAAmAAAAAQAAJAABAQ8BIAMbQCEAAwACAAMCAAAmAAABAQAAACMAAAABAAAkAAEAAQAAIQRZWbA4KwEUBgcBIRUhNTQ2NwEhNSEDVQ4L/dwCKf0FDQwCJ/3fAvADqRMjDv0mi0oNIxAC34wAAAABACz+3wIABf0AQABHQA44NjMwGBUSEAUEAwIGBytAMSQBAAEBHgACAAMBAgMBACYAAQAABAEAAQAmAAQFBQQBACMABAQFAQAkAAUEBQEAIQawOCsTNCYjNTI2NTQuAjU0PgI7ARUUBisBIgYVFB4CFRQOAgceAxUUDgIVFBY7ATIWHQEjIi4CNTQ+ArVGQ0NGEBMQKVN7UjUcDBRNWQ4SDhYpNyEhNykWDhIOWU0UDBw1UntTKRATEAGpP1FrUEAyYmJkNEV0VC5PFBJlVjhoY2IyJkEzJQkJJTRAJTJiY2g4V2QSFFAvVHRFNGNjYgABAOb+qQFwBf0AAwA8QAYDAgEAAgcrS7BJUFhADgAAAAEAACQAAQEQASACG0AXAAABAQAAACMAAAABAAAkAAEAAQAAIQNZsDgrEzMRI+aKigX9+KwAAAAAAQBY/t8CLAX9AEAAR0AOPz49PDEvLCkRDgsJBgcrQDEdAQUEAR4AAwACBAMCAQAmAAQABQEEBQEAJgABAAABAQAjAAEBAAEAJAAAAQABACEGsDgrARQeAhUUDgIrATU0NjsBMjY1NC4CNTQ+AjcuAzU0PgI1NCYrASImPQEzMh4CFRQOAhUUFjMVIgYBoxATECpSe1I1HAwUTVkOEg4WKTchITcpFg4SDllNFAwcNVJ7UioQExBGQ0NGAakyYmNjNEV0VC9QFBJkVzhoY2IyJUA0JQkJJTNBJjJiY2g4VmUSFE8uVHRFNGRiYjJAUGtRAAAAAAEAdAGeBBIDAAAbAEdAEgEAGBYSEQ8NCggEAwAbARsHBytALQABBQE0AAQCBDUGAQADAgABACMABQADAgUDAQAmBgEAAAIBACQAAgACAQAhBrA4KwEyNjczFA4CIyIuAiMiBgcjND4CMzIeAgL3QUkBkCVFZkA0Zl9WJEFJAZAlRWVBNGZfVgJlVUZDcFAsICchVEdDcFAtISchAAIA2v6pAdQEBQANACEAfUAOAAAeHBQSAA0ADQcGBQcrS7BJUFhAGwADAwIBACQAAgIUHwAAAAEAACQEAQEBEAEgBBtLsF9QWEAYAAAEAQEAAQAAJQADAwIBACQAAgIUAyADG0AiAAIAAwACAwEAJgAAAQEAAAAjAAAAAQAAJAQBAQABAAAhBFlZsDgrARE0PgI3Mx4DFREDND4CMzIeAhUUDgIjIi4CAQYDBgkGeQYJBgPVEyItGxotIhQUIi0aGy0iE/6pAh0tVVdcNDRcV1Ut/eME3xstIhMTIi0bGi4iFBQiLgAAAAACAIr/FQQCBOYALgA3AZlAEC4sKSgjIR4dGBYPDQoJBwcrS7AJUFhARQsBAAEzHBMQBAIAMiYCAwQqAAIGBQQeAAEAATQAAgAEAAIEMgAEAwAEAzAAAwMFAQIkAAUFFR8ABgYAAQAkAAAAFAYgCBtLsAtQWEBFCwEAATMcExAEAgAyJgIDBCoAAgYFBB4AAQABNAACAAQAAgQyAAQDAAQDMAADAwUBAiQABQUSHwAGBgABACQAAAAUBiAIG0uwX1BYQEULAQABMxwTEAQCADImAgMEKgACBgUEHgABAAE0AAIABAACBDIABAMABAMwAAMDBQECJAAFBRUfAAYGAAEAJAAAABQGIAgbS7BsUFhAQgsBAAEzHBMQBAIAMiYCAwQqAAIGBQQeAAEAATQAAgAEAAIEMgAEAwAEAzAAAAAGAAYBACUAAwMFAQIkAAUFFQUgBxtATAsBAAEzHBMQBAIAMiYCAwQqAAIGBQQeAAEAATQAAgAEAAIEMgAEAwAEAzAAAAIGAAEAIwADAAUGAwUBAiYAAAAGAQAkAAYABgEAIQhZWVlZsDgrBS4DNTQ+Aj8BPgE7AQceARcHDgEjIi4CJwM+AzMyFh8BDgEPAQ4BKwEDFBYXEw4DAjFcm3E/Qn64dwwCGxVCEFKENi4IDw4MIS0/KjQ/VTsmEAsSBTA8uWsMAhsVQueHeTRMc04nCwpPhLZyb7uKUQOzFB3pDD8xPgsLERgYB/0GBB8iHAkHP0hKB68THQLlosAXAvgGOWOIAAAAAQA0AAAEWwWoAD4BL0AUPj02NC8tJyUiIRwaFBILCQQCCQcrS7BfUFhAOQ8BAgM3KwIHBgIeAAIDAAMCADIEAQAIAQUGAAUBACYAAwMBAQAkAAEBER8ABgYHAQAkAAcHDAcgBxtLsGxQWEA3DwECAzcrAgcGAh4AAgMAAwIAMgABAAMCAQMBACYEAQAIAQUGAAUBACYABgYHAQAkAAcHDwcgBhtLsOhQWEBADwECAzcrAgcGAh4AAgMAAwIAMgABAAMCAQMBACYEAQAIAQUGAAUBACYABgcHBgEAIwAGBgcBACQABwYHAQAhBxtASA8BAgM3KwIHBgIeAAIDAAMCADIAAQADAgEDAQAmAAAACAUACAAAJgAEAAUGBAUBACYABgcHBgEAIwAGBgcBACQABwYHAQAhCFlZWbA4KxM0NjsBETQ+AjMyHgIXBw4BIyImJy4DIyIOAhURIRUUBiMhFRQGBz4BMyEVFA4CIyE1PgM1ESM0IB2GNm6kbk55XkUYSAoVCg4ZCxQpM0ItP2BAIAG5Hhb+ezkyHTkeAqQLFBwS/DwiPjAdwwKgGiQBBV6le0cnRFo0LgYFCw4ZLyMVKk5uRP75SBIe80ttLQUHTA4bFw5zCiIzRS4BIQACAIQA4AQEBGAAIwA3AJVACjQyKigcGgoIBAcrS7BfUFhAOA4MBgQEAwAhFQ8DBAIDHhgWAwECAx4NBQIAHCAfFwMBGwACAAECAQEAJQADAwABACQAAAAUAyAGG0BCDgwGBAQDACEVDwMEAgMeGBYDAQIDHg0FAgAcIB8XAwEbAAAAAwIAAwEAJgACAQECAQAjAAICAQEAJAABAgEBACEHWbA4KxM0NjcnNxc+ATMyFhc3FwceARUUBgcXBycOASMiJicHJzcuATcUHgIzMj4CNTQuAiMiDgLfIR2ZW5csaDo5ZiuZWZcfIiEdmFuYLGg5OWUsmVmXHiKEIz5RLy9TPSQkPVMvL1E+IwKgOWUsmVqYHyIhHplbmCxnOjlmK5dcmB4iIR2ZW5gsZzouUT0kJD1RLi9SPiMjPlIAAQAsAAAEUwWZACIBEkAYIiEgHx4dHBsaGRgXFhUUExIQBAIBAAsHK0uwX1BYQCsKAQABAR4DAQAKAQQFAAQAAiYJAQUIAQYHBQYAACYCAQEBCx8ABwcMByAFG0uwbFBYQCsKAQABAR4CAQEAATQDAQAKAQQFAAQAAiYJAQUIAQYHBQYAACYABwcPByAFG0uw6FBYQDcKAQABAR4CAQEAATQABwYHNQMBAAoBBAUABAACJgkBBQYGBQAAIwkBBQUGAAAkCAEGBQYAACEHG0BKCgEAAgEeAAECATQAAgACNAAHBgc1AAAACgQACgACJgADAAQFAwQAAiYABQkGBQAAIwAJAAgGCQgAACYABQUGAAAkAAYFBgAAIQpZWVmwOCsTIQEzMhYXAR4BFz4BNwE+ATsBASEVIRUhFSERIxEhNSE1IZIBMv5olRofCgEUDhQHBxIOARMIIRmW/mcBM/6sAVT+rLP+rAFU/qwCcQMoGRT9yiM6HR07IgI2ERz82GZpZ/7FATtnaQACAOb+qQFwBf0AAwAHAFRACgcGBQQDAgEABAcrS7BJUFhAGAAAAAECAAEAACYAAgIDAAAkAAMDEAMgAxtAIQAAAAECAAEAACYAAgMDAgAAIwACAgMAACQAAwIDAAAhBFmwOCsTMxEjETMRI+aKioqKBf385v7h/OUAAAAAAgBy/4MDhwWnAEgAWgCXQA5GRC0rKCYhHwgGAwEGBytLsF9QWEA3SAEBBVhOPRgEAwAjAQIEAx4AAAEDAQADMgADBAEDBDAABAACBAIBACUAAQEFAQAkAAUFEQEgBhtAQUgBAQVYTj0YBAMAIwECBAMeAAABAwEAAzIAAwQBAwQwAAUAAQAFAQEAJgAEAgIEAQAjAAQEAgEAJAACBAIBACEHWbA4KwEGIyIuAiMiDgIVFB4GFRQGBx4BFRQOAiMiJic3PgEzMh4CMzI+AjU0LgY1NDY3LgE1ND4CMzIWFwEUHgIXPgE1NC4EJw4BAzEMGQ8mN0w0ME01HDFPZmlmTzFOVDE+MmGPXGqsPCkIFxESKDpVPzJPNhwyUmhuaFIyVl0yPzBchlZknzr9t0ZthD42MB40Rk9UKEI2BPEWFhsXGSo4HyY5LysuN0dcPVF/JiViRUZ3VzJFNkQNDhwjHBktPiYtQjMqLDNGXUBOfSMmaUs6a1AwPjf9pDNHOTUfGksvJDguJiMjFB5JAAAAAAIADgSaAlYFewATACcAb0AKJCIaGBAOBgQEBytLsCBQWEAQAgEAAAEBACQDAQEBCwAgAhtLsOhQWEAaAwEBAAABAQAjAwEBAQABACQCAQABAAEAIQMbQCEAAQMAAQEAIwADAAIAAwIBACYAAQEAAQAkAAABAAEAIQRZWbA4KxMUDgIjIi4CNTQ+AjMyHgIFFA4CIyIuAjU0PgIzMh4C7xIgKRcWKB8SEh8oFhcpIBIBZxIfKRcXKR4SEh4pFxcpHxIFCRcoHhISHigXFyofEhIfKhcXKB4SEh4oFxcqHxISHyoAAAMARP/yBfkFqAAuAEoAYgFaQBZfXVNRRUM3NSspIR8cGhUTCwkEAgoHK0uwCVBYQEcXAQQCBwEFAAIeAAMEAAQDADIAAAUEAAUwAAIABAMCBAEAJgAFAAEIBQEBACYACQkGAQAkAAYGER8ACAgHAQAkAAcHEgcgCRtLsF9QWEBHFwEEAgcBBQACHgADBAAEAwAyAAAFBAAFMAACAAQDAgQBACYABQABCAUBAQAmAAkJBgEAJAAGBhEfAAgIBwEAJAAHBxUHIAkbS7BsUFhARRcBBAIHAQUAAh4AAwQABAMAMgAABQQABTAABgAJAgYJAQAmAAIABAMCBAEAJgAFAAEIBQEBACYACAgHAQAkAAcHFQcgCBtAThcBBAIHAQUAAh4AAwQABAMAMgAABQQABTAABgAJAgYJAQAmAAIABAMCBAEAJgAFAAEIBQEBACYACAcHCAEAIwAICAcBACQABwgHAQAhCVlZWbA4KwE+ATMyFh8BDgEjIi4CNTQ+AjMyFhcHDgEjIi4CIyIOAhUUHgIzMj4CATQ+BDMyHgQVFA4EIyIuBDcUHgQzMj4CNTQuBCMiDgIEBggLBgsIBj05pnRioXM/RXqnYmyYOS4FEAwOHzJMO0ZxTysrTGo+MEIwJfxSNF+GorplZbuihl80NF+GortlZbqihl80ZCxScoyiWITnq2MtUnOMo1iE5qpiAc8FBwYGQEJJRHqoZGWpeUNEN0EGDBYbFy1UeEtNeVIrDBQYAQllu6OFYDQ0YIWju2Vku6KFYDQ0YIWiumVZpI90Uy1kremGWaaPdlMuZa/rAAAAAAIAXAM/AlQFqgApADUA9EAWKyovLio1KzUlIx4cGRcUEwsJAgAJBytLsDZQWEA5IQEDBS0BBgcFAQAGAx4ABAMCAwQCMgACAAcGAgcBACYIAQYBAQAGAAEAJQADAwUBACQABQURAyAGG0uwX1BYQEAhAQMFLQEGBwUBAAYDHgAEAwIDBAIyAAAGAQYAATIAAgAHBgIHAQAmCAEGAAEGAQEAJQADAwUBACQABQURAyAHG0BLIQEDBS0BBgcFAQAGAx4ABAMCAwQCMgAABgEGAAEyAAUAAwQFAwEAJgACAAcGAgcBACYIAQYAAQYBACMIAQYGAQEAJAABBgEBACEIWVmwOCsBIyImLwEOAyMiLgI1ND4CNzU0JiMiDgIjIiYvAT4BMzIeAhUBMjY3NQ4DFRQWAlQ8EhIIDBguMjgiJkEwGyZYkWs6OSYyJR0QDhQFFjR5STZUOh7+4TNKJEZhPBo0A0gLEjEVIBcLFCk8KSJDNSMCJT88EhURDwoqMS4iPFQz/tYmI2kCERsjFSoiAAACAIoAgQMBA6IAFAApAAlABhcpAhQCCysTNRMXHgEVFAcDBgcWFxMeARUUDwETNRMXHgEVFAcDBgcWFxMeARUUDwGK+ToODgqfDg4PDZ8FBRw6L/k6Dg4Knw4ODw2fBQUcOgIGFwGFHAcWDREQ/vsYDQ4W/vsIEggcDRwBhRcBhRwHFg0REP77GA0OFv77CBIIHA0cAAAAAAEAlAE7A/AC4wAFAFJACAUEAwIBAAMHK0uwCVBYQB0AAQICASkAAAICAAAAIwAAAAIAACQAAgACAAAhBBtAHAABAgE1AAACAgAAACMAAAACAAAkAAIAAgAAIQRZsDgrEyERIxEhlANcl/07AuP+WAEhAAAAAQBkAgwCUgKjAAMAJUAGAwIBAAIHK0AXAAABAQAAACMAAAABAAAkAAEAAQAAIQOwOCsTIRUhZAHu/hICo5cAAAQARP/yBfkFqAAbADMASQBWAY5AGjQ0VlRMSjRJNEhEQjk3NjUwLiQiFhQIBgsHK0uwCVBYQD4+AQcIAR4GAQQHAgcEAjIABQAJCAUJAQAmAAgKAQcECAcBACYAAwMAAQAkAAAAER8AAgIBAQAkAAEBEgEgCBtLsF9QWEA+PgEHCAEeBgEEBwIHBAIyAAUACQgFCQEAJgAICgEHBAgHAQAmAAMDAAEAJAAAABEfAAICAQEAJAABARUBIAgbS7BsUFhAPD4BBwgBHgYBBAcCBwQCMgAAAAMFAAMBACYABQAJCAUJAQAmAAgKAQcECAcBACYAAgIBAQAkAAEBFQEgBxtLsOhQWEBFPgEHCAEeBgEEBwIHBAIyAAAAAwUAAwEAJgAFAAkIBQkBACYACAoBBwQIBwEAJgACAQECAQAjAAICAQEAJAABAgEBACEIG0BLPgEHCAEeAAYHBAcGBDIABAIHBAIwAAAAAwUAAwEAJgAFAAkIBQkBACYACAoBBwYIBwEAJgACAQECAQAjAAICAQEAJAABAgEBACEJWVlZWbA4KxM0PgQzMh4EFRQOBCMiLgQ3FB4EMzI+AjU0LgQjIg4CBREjESEyFhUUBgceARcTIyInAy4BIyczMj4CNTQuAisBRDRfhqK6ZWW7ooZfNDRfhqK7ZWW6ooZfNGQsUnKMoliE56tjLVJzjKNYhOaqYgHmnAEgrKZrahEZC+SUIRDJCRkaUHQ3TS8VEytGNIQCzGW7o4VgNDRghaO7ZWS7ooVgNDRghaK6ZVmkj3RTLWSt6YZZpo92Uy5lr+vg/p4DfH16XoQZCh4U/rIZAS4NDnIVKDomJTgkEgAAAAEAFATPAlIFRAADACVABgMCAQACBytAFwAAAQEAAAAjAAAAAQAAJAABAAEAACEDsDgrEyEVIRQCPv3CBUR1AAACAEYDJwLSBaoAEwAnAFNACiQiGhgQDgYEBAcrS7BfUFhAFwACAAECAQEAJQADAwABACQAAAARAyADG0AhAAAAAwIAAwEAJgACAQECAQAjAAICAQEAJAABAgEBACEEWbA4KxM0PgIzMh4CFRQOAiMiLgI3FB4CMzI+AjU0LgIjIg4CRjJYd0VFd1gyMlh3RUV3WDJ/HjZJKipINh4eNkgqKkk2HgRoQ3ZXMjJXdkNCdVczM1d1QSpJNh8fNkkqKko3Hx83SgAAAAIAZABQBCIEsgALAA8Ai0AWAAAPDg0MAAsACwoJCAcGBQQDAgEJBytLsOhQWEAuBAEAAwEBAgABAAAmCAEFAAIGBQIAACYABgcHBgAAIwAGBgcAACQABwYHAAAhBRtANgAEAAMBBAMAACYAAAABAgABAAAmCAEFAAIGBQIAACYABgcHBgAAIwAGBgcAACQABwYHAAAhBlmwOCsBESEVIREjESE1IREBIRUhAosBl/5pkv5rAZX+awO+/EIEsv6IiP6QAXCIAXj8JYcAAAEAUgOEAlEGZQAtAIBAEAEAKCYiIBQTEA0ALQEtBgcrS7BfUFhAKysBBAMLAQIBAh4ABAMBAwQBMgUBAAADBAADAQAmAAICAQEAJAABAQ4CIAUbQDQrAQQDCwECAQIeAAQDAQMEATIFAQAAAwQAAwEAJgABAgIBAQAjAAEBAgAAJAACAQIAACEGWbA4KwEyHgIVFA4CDwE+ATsBMhYdASE1NDY/AT4DNTQmIyIGBw4BIyImLwE+AQFaNFU8IRkqNh6iFy8VwxUX/gEKDN0ZLCATPC0uOQ4IExEECQVHD4oGZR42TS8oRT46HqUGCBYUTSsNHAzbGTQ1NRszNzAqDhABAQxqagAAAAEAVAN8AlIGZQA9ALJAFgEANjQwLiopKCcfHRgWEA4APQE9CQcrS7BLUFhAQTkBBwYHAQQFFAEDAgMeAAcGBQYHBTIAAgQDBAIDMggBAAAGBwAGAQAmAAUABAIFBAEAJgABAQMBACQAAwMOASAHG0BKOQEHBgcBBAUUAQMCAx4ABwYFBgcFMgACBAMEAgMyCAEAAAYHAAYBACYABQAEAgUEAQAmAAMBAQMBACMAAwMBAQAkAAEDAQEAIQhZsDgrATIeAhUUBx4BFRQOAiMiLgInNzYzMhceAzMyPgI1NC4CIzU+ATU0JiMiBgcOASMiJi8BPgMBYjNSOyB3QkUqRVswOVQ9Kw83Dw4dCwYSHisgHy8gEBEnQS9XRzowMDkMCBEPBAkFQwcsQVQGZR0zRCiALRNOPjdUOR0ZMUgvGAYXDSAcExQfKBUeKxwOVwE8NDI0LygQDwEBDDVPNRsAAAABAMQEiwJVBakACQAzQAoAAAAJAAgFAwMHK0uwX1BYQA0AAAEANQIBAQERASACG0ALAgEBAAE0AAAAKwJZsDgrAQMOASsBNz4BMwJV6Q4bFWqUDiEgBan+/g8N8hcVAAABAHr+qQPFA/UAHQFZQBIAAAAdAB0aGBIQDAoJCAUDBwcrS7BJUFhAJg4HAgABFAECAAIeBgUCAQEOHwAAAAIBACQDAQICDB8ABAQQBCAFG0uwTVBYQCgOBwIAARQBAgACHgAAAAIBACQDAQICDB8ABAQBAAAkBgUCAQEOBCAFG0uwX1BYQCwOBwIAARQBAwACHgAAAAMBACQAAwMMHwACAgwfAAQEAQAAJAYFAgEBDgQgBhtLsGxQWEAuDgcCAAEUAQMAAh4ABAEEAQAiAAAAAwEAJAADAw8fBgUCAQECAQAkAAICDwIgBhtLsOhQWEAyDgcCAAEUAQMAAh4AAAADAgADAQAmBgUCAQACBAECAQAmBgUCAQEEAQAkAAQBBAEAIQUbQDgOBwIABRQBAwACHgYBBQAEBQAAIwAAAAMCAAMBACYAAQACBAECAQAmBgEFBQQBACQABAUEAQAhBllZWVlZsDgrAREUFjMyNjcRMxEjIi8BDgEjIiYnHgEVESMiJjURASxsaU6KOrJqJgoOQ41XSnAnBwZZJikD9f1ubXhKQgLr/AslbUhEMy4qVyb+6SgkBQAAAAEAKv83BRYFmQATAKJAEgAAABMAEgoJCAcGBQQDAgEHBytLsF9QWEAdAAQAAQAEATIDAQEBMwIBAAAFAQAkBgEFBQsAIAQbS7DoUFhAJwAEAAEABAEyAwEBATMGAQUAAAUBACMGAQUFAAAAJAIBAAUAAAAhBRtAMgAAAgQCACoABAMCBAMwAAMBAgMBMAABATMGAQUCAgUBACMGAQUFAgAAJAACBQIAACEHWVmwOCsBFSMRIxEhESMRIi4CNTQ+AjMFFtud/uudaKZ1Pz91pmgFmZn6NwXJ+jcDXT1pjlFWjWU4AAEAfAG9AacC6AATACVABhAOBgQCBytAFwAAAQEAAQAjAAAAAQEAJAABAAEBACEDsDgrEzQ+AjMyHgIVFA4CIyIuAnwXKTYeHzgoGBgoOB8eNikXAlEfOCgYGCg4Hx42KRcXKTYAAAAAAQCE/qEB7wAKAB0Aw0AOAQAZFw8OBgQAHQEdBQcrS7AJUFhAIRANAgACGwEDAAIeAAIAAAIoAQQCAAADAQIkAAMDEAMgBBtLsBVQWEAgEA0CAAIbAQMAAh4AAgACNAEEAgAAAwECJAADAxADIAQbS7BJUFhAJBANAgACGwEDAQIeAAIAAjQEAQABADQAAQEDAQIkAAMDEAMgBRtALRANAgACGwEDAQIeAAIAAjQEAQABADQAAQMDAQEAIwABAQMBAiQAAwEDAQIhBllZWbA4KxcyHgIzMjY1NC4CJzczBx4BFRQOAiMiJic3NqwGEBYgFSorFik8JitwGFpRIDlQMClKHxEG9wcJByEaExoSDAWNUBRFNiAzJBMRDjcSAAAAAQB4A4QCRAZfAA8AokAMDw4NDAsKBwUBAAUHK0uwJFBYQCEJAwIDAQIBHgACAQI0AAEAATQABAQAAAAkAwEAAA4EIAUbS7DoUFhAKwkDAgMBAgEeAAIBAjQAAQABNAMBAAQEAAAAIwMBAAAEAAIkAAQABAACIQYbQDAJAwIDAQIBHgACAQI0AAEAATQAAwAEAAMqAAADBAAAACMAAAAEAAIkAAQABAACIQdZWbA4KxMzETcHBiMiLwE3MxEzFSGtkwRrDA4XCSfebIL+aQPZAbgrWAkOOL79elUAAAIASAM8ArEFqQATAB8AYEASFRQBABsZFB8VHwsJABMBEwYHK0uwX1BYQBkFAQIAAQIBAQAlAAMDAAEAJAQBAAARAyADG0AkBAEAAAMCAAMBACYFAQIBAQIBACMFAQICAQEAJAABAgEBACEEWbA4KwEyHgIVFA4CIyIuAjU0PgITMjY1NCYjIgYVFBYBfkZxUCwsUHFGR3JRLCxRckdUU1NUV1NTBakrUHNHSHRRKytRdEhHc1Ar/f1pZGRoaGRkaQAAAAACAJYAgQMNA6IAEgAlAAlABiUVEAACCys3JyY1NDcTNjcmJwMmNTQ/ARMVJRUDJyY1NDcTNjcmJwMmNTQ/Aew6HAqfDQ4MD58KHDr5ASj5OhwKnw0ODA+fChw6gRwNHBERAQUYDAsaAQURERwNHP57FxcX/nscDRwREQEFGAwLGgEFEREcDRwABABmAAAFfAWaABAAIAAmADABtUAcMC4rKSYlIB8eHRwbGBYSERAPCwkIBwYEAQANBytLsF9QWEBAGhQTAwYHJAEACQIeAAYHBQcGBTIIAQUACQAFCQACJgoBAAMBAQIAAQEAJgwBBwcLHwAEBAIBACQLAQICDAIgBxtLsGxQWEA9GhQTAwYHJAEACQIeDAEHBgc0AAYFBjQIAQUACQAFCQACJgoBAAMBAQIAAQEAJgAEBAIBACQLAQICDwIgBxtLsE5QWEBGGhQTAwYHJAEACQIeDAEHBgc0AAYFBjQABAkCBAAAIwgBBQAJAAUJAAImCgEAAwEBAgABAQAmAAQEAgEAJAsBAgQCAQAhCBtLuAPoUFhAShoUEwMGDCQBAAkCHgAHDAc0AAwGDDQABgUGNAAECQIEAAAjCAEFAAkABQkAAiYKAQADAQECAAEBAiYABAQCAQAkCwECBAIBACEJG0BfGhQTAwYMJAEACQIeAAcMBzQADAYMNAAGBQY0AAgFBAUIKgALAQIBCwIyAAQJAgQAACMABQAJAAUJAAImAAoAAwEKAwECJgAAAAELAAEBACYABAQCAAAkAAIEAgAAIQxZWVlZsDgrATMVFAYrARUjNSEiJi8BATMlMxE3BwYjIi8BNzMRMxUhBTQ2NwMzBQ4BKwEBPgE7AQUPbQ4NUm3+zhIVAgoBVnz7jJMEawwOFwkn3myC/mkEBwID8ez9EBMsHUwDMhIuIE0BC0ELD7CwEAw5AdQ7AbgrWAkOOL79elXDEywX/rnWHxYFXB0gAAMAZgAABV0FmgAtAD0ARwHmQB4BAEdFQkA9PDs6OTg1My8uKCYiIBQTEA0ALQEtDQcrS7BfUFhASzcxMAMGBysBBAMLAQIBAx4ABgcFBwYFMgAEAwEDBAEyCAEFAAkDBQkAAiYMAQAAAwQAAwEAJgsBBwcLHwABAQIBACQKAQICDAIgCBtLsGxQWEBINzEwAwYHKwEEAwsBAgEDHgsBBwYHNAAGBQY0AAQDAQMEATIIAQUACQMFCQACJgwBAAADBAADAQAmAAEBAgEAJAoBAgIPAiAIG0uwTlBYQFE3MTADBgcrAQQDCwECAQMeCwEHBgc0AAYFBjQABAMBAwQBMggBBQAJAwUJAAImDAEAAAMEAAMBACYAAQICAQEAIwABAQIBACQKAQIBAgEAIQkbS7gD6FBYQFU3MTADBgsrAQQDCwECAQMeAAcLBzQACwYLNAAGBQY0AAQDAQMEATIIAQUACQMFCQACJgwBAAADBAADAQImAAECAgEBACMAAQECAQAkCgECAQIBACEKG0BiNzEwAwYLKwEEAwsBCgEDHgAHCwc0AAsGCzQABgUGNAAIBQAFCCoABAMBAwQBMgAKAQIBCgIyAAUACQMFCQACJgwBAAADBAADAQImAAEKAgEBACMAAQECAAAkAAIBAgAAIQxZWVlZsDgrATIeAhUUDgIPAT4BOwEyFh0BITU0Nj8BPgM1NCYjIgYHDgEjIiYvAT4BJTMRNwcGIyIvATczETMVIRMOASsBAT4BOwEEZjRVPCEZKjYeohcvFcMVF/4BCgzdGSwgEzwtLjkOCBMRBAkFRw+K/JyTBGsMDhcJJ95sgv5p6xMsHUwDMhIuIE0C4R42TS8oRT46HqUGCBYUTSsNHAzbGTQ1NRszNzAqDhABAQxqajMBuCtYCQ44vv16Vf12HxYFXB0gAAQARAAABX0FoAAQAE4AVABeAmFAJhIRXlxZV1RTR0VBPzs6OTgwLiknIR8RThJOEA8LCQgHBgQBABEHK0uwQ1BYQF9KAQwLGAEJCiUBCAdSAQAGBB4ADAsKCwwKMgAHCQgJBwgyAAoACQcKCQEAJgAIAAYACAYBACYNAQADAQECAAEBAiYACwsFAQAkDxACBQULHwAEBAIBACQOAQICDAIgChtLsF9QWEBjSgEMCxgBCQolAQgHUgEABgQeAAwLCgsMCjIABwkICQcIMgAKAAkHCgkBACYACAAGAAgGAQAmDQEAAwEBAgABAQImAA8PCx8ACwsFAQAkEAEFBQsfAAQEAgEAJA4BAgIMAiALG0uwbFBYQGRKAQwLGAEJCiUBCAdSAQAGBB4ADwULBQ8LMgAMCwoLDAoyAAcJCAkHCDIQAQUACwwFCwEAJgAKAAkHCgkBACYACAAGAAgGAQAmDQEAAwEBAgABAQImAAQEAgEAJA4BAgIPAiAKG0uw6FBYQG1KAQwLGAEJCiUBCAdSAQAGBB4ADwULBQ8LMgAMCwoLDAoyAAcJCAkHCDIQAQUACwwFCwEAJgAKAAkHCgkBACYABAYCBAAAIwAIAAYACAYBACYNAQADAQECAAEBAiYABAQCAQAkDgECBAIBACELG0B8SgEMCxgBCQolAQgHUgEABgQeAA8FCwUPCzIADAsKCwwKMgAHCQgJBwgyAA4BAgEOAjIQAQUACwwFCwEAJgAKAAkHCgkBACYABAYCBAAAIwAIAAYACAYBACYADQADAQ0DAQImAAAAAQ4AAQEAJgAEBAIAACQAAgQCAAAhDVlZWVmwOCsBMxUUBisBFSM1ISImLwEBMwEyHgIVFAceARUUDgIjIi4CJzc2MzIXHgMzMj4CNTQuAiM1PgE1NCYjIgYHDgEjIiYvAT4DATQ2NwMzBQ4BKwEBPgE7AQUQbQ4NUm3+zhIVAgoBVnz8QjNSOyB3QkUqRVswOVQ9Kw83Dw4dCwYSHisgHy8gEBEnQS9XRzowMDkMCBEPBAkFQwcsQVQDggID8ez9FBMsHUwDMhIuIE0BC0ELD7CwEAw5AdQCxx0zRCiALRNOPjdUOR0ZMUgvGAYXDSAcExQfKBUeKxwOVwE8NDI0LygQDwEBDDVPNRv8XBMsF/651h8WBVwdIAACACz+nAMCBAUAKQA9AMVADjo4MC4nJSIgExIGBAYHK0uwSVBYQDMUAQMBAAEAAgIeAAEFAwUBAzIAAwIFAwIwAAUFBAEAJAAEBBQfAAICAAECJAAAABYAIAcbS7BfUFhAMBQBAwEAAQACAh4AAQUDBQEDMgADAgUDAjAAAgAAAgABAiUABQUEAQAkAAQEFAUgBhtAOhQBAwEAAQACAh4AAQUDBQEDMgADAgUDAjAABAAFAQQFAQAmAAIAAAIBACMAAgIAAQIkAAACAAECIQdZWbA4KwUOAyMiLgI1ND4EPwEzFxUUDgQVFB4CMzI+AjMyFhcBND4CMzIeAhUUDgIjIi4CAwIfS1hoPE+HYjgtRVJHMwQSegwtRU9FLSI6Ty09VzwmDA4RB/5xEyEuGhouIhMTIi4aGi4hE9QdNCgXLFJ2S0xqTDYwMSGapwwsPjIvPFA7LEUxGh4kHgwLBBAaLiIUFCIuGhstIhMTIi0A//8ACgAABUkG9gImACQAAAAHANgBawAA//8ACgAABUkG9gImACQAAAAHANoBawAA//8ACgAABUkG3AImACQAAAAHANsBdgAA//8ACgAABUkG0gImACQAAAAHAN0BdgAA//8ACgAABUkG8gImACQAAAAHANkBdgAA//8ACgAABUkHLQImACQAAAAHANwBcwAAAAL/6AAABtoFmQASABgBHkAUFBMSEA0MCwoJCAcGBQQDAgEACQcrS7BfUFhANRUBAQABHgACAAMIAgMAACYACAAGBAgGAAAmAAEBAAAAJAAAAAsfAAQEBQEAJAcBBQUMBSAHG0uwbFBYQDMVAQEAAR4AAAABAgABAAAmAAIAAwgCAwAAJgAIAAYECAYAACYABAQFAQAkBwEFBQ8FIAYbS7DoUFhAPBUBAQABHgAAAAECAAEAACYAAgADCAIDAAAmAAgABgQIBgAAJgAEBQUEAAAjAAQEBQEAJAcBBQQFAQAhBxtAQxUBAQABHgAHBAUEBwUyAAAAAQIAAQAAJgACAAMIAgMAACYACAAGBAgGAAAmAAQHBQQAACMABAQFAAAkAAUEBQAAIQhZWVmwOCsBIRUhEyEVIRMhFSEDIQMOASsBASEDDgEHAt0D/f0TPAIv/eQ9AmH8/DH91LMLJRqUAdoB0V4MHQ4FmZ7+JJj+F54BiP6lFBkCFALxKUUfAAAAAAEAWv6hBQkFqQBLAnxAGAEAR0U9PDg2MS8nJSAeGRcGBABLAUsKBytLsAlQWEBLGwEDBDoBBQY+Dg0DAAdJAQgABB4AAwQGBAMGMgAGBQQGBTAABAQCAQAkAAICER8ABQUHAQAkAAcHFR8BCQIAAAgBACQACAgQCCAJG0uwDVBYQEsbAQMEOgEFBj4ODQMAB0kBCAAEHgADBAYEAwYyAAYFBAYFMAAEBAIBACQAAgIRHwAFBQcBACQABwcSHwEJAgAACAEAJAAICBAIIAkbS7AVUFhASxsBAwQ6AQUGPg4NAwAHSQEIAAQeAAMEBgQDBjIABgUEBgUwAAQEAgEAJAACAhEfAAUFBwEAJAAHBxUfAQkCAAAIAQAkAAgIEAggCRtLsElQWEBSGwEDBDoBBQY+Dg0DAAdJAQgBBB4AAwQGBAMGMgAGBQQGBTAJAQAHAQcAATIABAQCAQAkAAICER8ABQUHAQAkAAcHFR8AAQEIAQAkAAgIEAggChtLsF9QWEBPGwEDBDoBBQY+Dg0DAAdJAQgBBB4AAwQGBAMGMgAGBQQGBTAJAQAHAQcAATIAAQAIAQgBACUABAQCAQAkAAICER8ABQUHAQAkAAcHFQcgCRtLsGxQWEBNGwEDBDoBBQY+Dg0DAAdJAQgBBB4AAwQGBAMGMgAGBQQGBTAJAQAHAQcAATIAAgAEAwIEAQAmAAEACAEIAQAlAAUFBwEAJAAHBxUHIAgbQFcbAQMEOgEFBj4ODQMAB0kBCAEEHgADBAYEAwYyAAYFBAYFMAkBAAcBBwABMgACAAQDAgQBACYABQAHAAUHAQAmAAEICAEBACMAAQEIAQAkAAgBCAEAIQlZWVlZWVmwOCsFMh4CMzI2NTQuAic3LgICNTQSNiQzMhYXBw4BIyIuBCMiDgIVFB4CMzI+Ajc2MzIfAQ4BDwEeARUUDgIjIiYnNzYCgwYQFiAVKisWKTwmJIvin1ZpvgEJoJ7lWT8HEhENHSg2SmJAc7+KTU2FtmlAZldLJhEQEA1MU+miEFpRIDlQMClKHxEG9wcJByEaExoSDAV2DHW/AQCZogEOwmtiVFkKDRMcIBwTT5LSgobSkUwPIDEiDw1TYXAGNxRFNiAzJBMRDjcSAAAA//8ArgAABCEG9gImACgAAAAHANgBNwAA//8ArgAABCEG9gImACgAAAAHANoBNwAA//8ArgAABCEG3AImACgAAAAHANsBQgAA//8ArgAABCEG8gImACgAAAAHANkBQgAA////zAAAAbwG9gImACwAAAAGANj4AAAA//8AmgAAAooG9gImACwAAAAGANr4AAAA////7wAAAnsG3AImACwAAAAGANsDAAAA////8gAAAngG8gImACwAAAAGANkCAAAAAAIAMgAABdEFmQAQACEA4UASHhwbGhkYFxUQDw4MBAIBAAgHK0uwX1BYQCYFAQAGAQMHAAMAACYABAQBAQAkAAEBCx8ABwcCAQAkAAICDAIgBRtLsGxQWEAkAAEABAABBAEAJgUBAAYBAwcAAwAAJgAHBwIBACQAAgIPAiAEG0uw6FBYQC0AAQAEAAEEAQAmBQEABgEDBwADAAAmAAcCAgcBACMABwcCAQAkAAIHAgEAIQUbQDUAAQAEAAEEAQAmAAUABgMFBgAAJgAAAAMHAAMAACYABwICBwEAIwAHBwIBACQAAgcCAQAhBllZWbA4KxMzESEyBBYSFRQCBgQjIREjJTQuAiMhESEVIREhMj4CMsUCF54BBbpmZrr++5796cUE2EiEvHT+qwF9/oMBVXS8hEgDDAKNZ73++KGh/vi8ZwKaMoTQkEz+EHL+A0yP0AAAAP//AK4AAAU4BtICJgAxAAAABwDdAdoAAP//AFz/8QXhBvYCJgAyAAAABwDYAeMAAP//AFz/8QXhBvYCJgAyAAAABwDaAeMAAP//AFz/8QXhBtwCJgAyAAAABwDbAe4AAP//AFz/8QXhBtICJgAyAAAABwDdAe4AAP//AFz/8QXhBvICJgAyAAAABwDZAe4AAAABAH4A2wQDBFgACwAHQAQJBQELKwkCBwkBJwkBNwkBA/n+qAFiX/6e/ptfAWT+p18BWQFYA/b+qP6fYAFi/pxgAWQBWWD+pgFYAAAAAwBc/5MF4QXaACEALQA4ARJADjUzKigeHBcVDQsGBAYHK0uwHlBYQDcZAQQCMjEmJR8FBQQOCAIABQMeAAEAATUAAwMNHwAEBAIBACQAAgIRHwAFBQABACQAAAASACAHG0uwX1BYQDcZAQQCMjEmJR8FBQQOCAIABQMeAAMCAzQAAQABNQAEBAIBACQAAgIRHwAFBQABACQAAAASACAHG0uwbFBYQDUZAQQCMjEmJR8FBQQOCAIABQMeAAMCAzQAAQABNQACAAQFAgQBACYABQUAAQAkAAAAFQAgBhtAPhkBBAIyMSYlHwUFBA4IAgAFAx4AAwIDNAABAAE1AAIABAUCBAEAJgAFAAAFAQAjAAUFAAEAJAAABQABACEHWVlZsDgrARQCBgQjIiYnBw4BKwETJgI1NBI2JDMyFhc3PgE7AQcWEgUUFhcBLgEjIg4CBTQmJwEWMzI+AgXhZrr++55svE9kFjodTr9we2a6AQSec8hTUhQgIGSsZ3D7QUtFApM8lFdzvIVIA/hBPP1xdJx0vIRIAsyh/vPCazEwiB0aAQRiASCzoQENw2w6Nm8bF+ti/uqrh9NJA4MqK06R0oR+yUj8hEZNkdEA//8AoP/vBRUG9gImADgAAAAHANgBnQAA//8AoP/vBRUG9gImADgAAAAHANoBnQAA//8AoP/vBRUG3AImADgAAAAHANsBqAAA//8AoP/vBRUG8gImADgAAAAHANkBqAAA//8ACAAABOQG9gImADwAAAAHANoBOQAAAAIAwgAABH8FmQAQABsAnEASAAAbGRMRABAADwcFBAMCAQcHK0uwX1BYQCEAAgAFBAIFAQAmAAQGAQMABAMBACYAAQELHwAAAAwAIAQbS7BsUFhAIwACAAUEAgUBACYABAYBAwAEAwEAJgABAQAAACQAAAAPACAEG0AsAAECAAEAACMAAgAFBAIFAQAmAAQGAQMABAMBACYAAQEAAAAkAAABAAAAIQVZWbA4KwERIxEzETMyHgIVFA4CIyczMj4CNTQmKwEBg8HB5ojJhEFGh8iB5uZTf1YsqavmARD+8AWZ/vg/dKRlZKZ4Q5osT25CiZoAAAABALr/8AR2Ba4ASADxQBIBAENCPTslIyAeGRcASAFIBwcrS7AeUFhAKhsBAQMBHgACBAMEAgMyAAQEAAEAJAYBAAARHwADAwEBACQFAQEBEgEgBhtLsF9QWEAuGwEFAwEeAAIEAwQCAzIABAQAAQAkBgEAABEfAAUFDB8AAwMBAQAkAAEBEgEgBxtLsGxQWEAsGwEFAwEeAAIEAwQCAzIGAQAABAIABAEAJgAFBQ8fAAMDAQEAJAABARUBIAYbQDgbAQUDAR4AAgQDBAIDMgAFAwEDBQEyBgEAAAQCAAQBACYAAwUBAwEAIwADAwEBACQAAQMBAQAhB1lZWbA4KwEyHgIVFA4EFRQeBBUUDgIjIiYnNz4BMzIeAjMyPgI1NC4ENTQ+BDU0LgIjIg4CFREjETQ+AgKhZ5diLytAS0ArNVBdUDU5ZIdPYZ48KQgXERIoN0s1LEYxGjhUYlQ4LUNOQy0ZOFk/RG9PK7NFgLQFrjxdbjM8VkIyMDMgJzQtL0ZmTk56VS1FNkQNDhwiHBsuQCU4RjMqOlNCNU8/NjxHMCBBNCEqVH5U/CYD4GiqekIAAAD//wBc//ADegWpAiYARAAAAAcAQwDdAAD//wBc//ADegWpAiYARAAAAAcAdgDdAAD//wBc//ADegWZAiYARAAAAAcAxQDdAAD//wBc//ADegWJAiYARAAAAAcAxwDdAAD//wBc//ADegV7AiYARAAAAAcAagDdAAD//wBc//ADegXeAiYARAAAAAcAxgDeAAAAAwBc//AGDwQHAEMAUQBcA6JAJlNSAQBYV1JcU1xNS0VEPz04NjMxLi0lIx0bFBIPDQkHAEMBQxAHK0uwCVBYQEhBOwIIBx8XAgIDAh4ACAcGBwgGMgADAQIBAwIyDQEGCgEBAwYBAQAmDwwCBwcAAQAkCQ4CAAAUHwsBAgIEAQAkBQEEBBIEIAgbS7AcUFhASEE7AggHHxcCAgMCHgAIBwYHCAYyAAMBAgEDAjINAQYKAQEDBgEBACYPDAIHBwABACQJDgIAABQfCwECAgQBACQFAQQEFQQgCBtLsE1QWEBUQTsCCAcfFwICAwIeAAgHBgcIBjIAAwECAQMCMg0BBgoBAQMGAQEAJg8MAgcHAAEAJAkOAgAAFB8AAgIEAQAkBQEEBBUfAAsLBAEAJAUBBAQVBCAKG0uwX1BYQGFBOwIIBx8XAgIDAh4ACAcGBwgGMgADAQIBAwIyDQEGCgEBAwYBAQAmDwEMDAABACQJDgIAABQfAAcHAAEAJAkOAgAAFB8AAgIEAQAkBQEEBBUfAAsLBAEAJAUBBAQVBCAMG0uwbFBYQFlBOwIIBx8XAgIDAh4ACAcGBwgGMgADAQIBAwIyDwEMBwAMAQAjCQ4CAAAHCAAHAQAmDQEGCgEBAwYBAQAmAAICBAEAJAUBBAQVHwALCwQBACQFAQQEFQQgChtLsI9QWEBdQTsCCAcfFwICAwIeAAgHBgcIBjIAAwECAQMCMg8BDAcADAEAIwkOAgAABwgABwEAJg0BBgoBAQMGAQEAJgACCwQCAQAjAAsEBAsBACMACwsEAQAkBQEECwQBACEKG0uwx1BYQGRBOwIIBx8XAgIDAh4ACAcGBwgGMgADCgIKAwIyDwEMBwAMAQAjCQ4CAAAHCAAHAQAmAAEKBgEBACMNAQYACgMGCgEAJgACCwQCAQAjAAsEBAsBACMACwsEAQAkBQEECwQBACELG0uwTlBYQGZBOwIIBx8XAgIDAh4ACAcGBwgGMgADCgIKAwIyDgEADwEMBwAMAQAmAAkABwgJBwEAJgABCgYBAQAjDQEGAAoDBgoBACYACwQFCwEAIwACAAQFAgQBACYACwsFAQAkAAULBQEAIQsbQGdBOwIIBx8XAgIDAh4ACAcNBwgNMgADCgIKAwIyDgEADwEMBwAMAQAmAAkABwgJBwEAJgANAAEKDQEBACYABgAKAwYKAQAmAAsEBQsBACMAAgAEBQIEAQAmAAsLBQEAJAAFCwUBACELWVlZWVlZWVmwOCsBMh4CFRQGIyEeAzMyPgIzMhYfAQ4DIyImJw4DIyIuAjU0PgI3NTQmIyIOAiMiJi8BPgEzMhYXPgEBDgMVFBYzMj4CNQEiDgIHITQuAgSOUo1nOxAZ/Y0ELk1pQUVcPSYQDhIGLyFXY2o0db83G1dqdztFclMtQpPurGVjQVlBLxcSGwggVLVxeJIhNq3+tnusbDFkUTljSSoBvD1gRSkHAfwfPFcEBUB6r3ApHVuHWiwdJB0JCD0oOyYTcXQ+WDgZI0ZqSDx0XDsEMnZ+IyojEw45UVBmW1hn/eEFIzhIKldQJEpuSgHvKU5wRkFvUC0AAQBK/qEDfwQFAEgBZ0AWAQBEQjQyLy0lIyAeGRcGBABIAUgJBytLsBVQWEBGGwEEAjcBBQY7Dg0DAAVGAQcABB4AAwQGBAMGMgAGBQQGBTAABQAEBQAwAAQEAgEAJAACAhQfAQgCAAAHAQIkAAcHEAcgCBtLsElQWEBMGwEEAjcBBQY7Dg0DAAVGAQcBBB4AAwQGBAMGMgAGBQQGBTAABQAEBQAwCAEAAQQAATAABAQCAQAkAAICFB8AAQEHAQIkAAcHEAcgCRtLsF9QWEBJGwEEAjcBBQY7Dg0DAAVGAQcBBB4AAwQGBAMGMgAGBQQGBTAABQAEBQAwCAEAAQQAATAAAQAHAQcBAiUABAQCAQAkAAICFAQgCBtAUxsBBAI3AQUGOw4NAwAFRgEHAQQeAAMEBgQDBjIABgUEBgUwAAUABAUAMAgBAAEEAAEwAAIABAMCBAEAJgABBwcBAQAjAAEBBwECJAAHAQcBAiEJWVlZsDgrBTIeAjMyNjU0LgInNy4DNTQ+AjMyFhcHDgEjIi4CIyIOAhUUHgIzMj4CMzIWHwEOAQ8BHgEVFA4CIyImJzc2AZAGEBYgFSorFik8JiVTjWY6P3myc2qkPy8IEA8PIzZNOEpyTScqTG1EQVQ4JBILEQYyO6phEVpRIDlQMClKHxEG9wcJByEaExoSDAV5C0+EtnFxwItORT9ACwwZHhk1ZI5YXI9hMx8mHwkIQUhKCDoURTYgMyQTEQ43Ev//AEr/8gPHBakCJgBIAAAABwBDAPQAAP//AEr/8gPHBakCJgBIAAAABwB2APQAAP//AEr/8gPHBZkCJgBIAAAABwDFAPQAAP//AEr/8gPHBXsCJgBIAAAABwBqAPQAAP////kAAAGGBakCJgDCAAAABgBD0wAAAP//AJcAAAIoBakCJgDCAAAABgB20wAAAP///9IAAAI2BZkCJgDCAAAABgDF0gAAAP///+EAAAIpBXsCJgDCAAAABgBq0wAAAAACAEz/8wQFBYYANABIAH1ADjY1QD41SDZILiwkIgUHK0uwbFBYQCo6MAICAwEeNDMZExIPBgcBHAABAAMCAQMBACYEAQICAAEAJAAAABUAIAUbQDQ6MAICAwEeNDMZExIPBgcBHAABAAMCAQMBACYEAQIAAAIBACMEAQICAAEAJAAAAgABACEGWbA4KwEuATU0PwEuAScuATU0PwEeARc3FxYVFA8BHgMVFA4CIyIuAjU0PgIzMhYXLgEnBxMyPgI3LgMjIg4CFRQeAgGhBAUXZy1lORIZBRRgtFGnIwgWYTxjRic+e7d4Yqp9SD50pWhksUEUdV64X0dzUS4DEDRLYz5LcUwnLlBpBCkHDQYWD0gUIg4FGxcPDj4QPDB6OQ0LFRBDMXybuW6P5KBWQnuycF6nfkpWV4i+QIf8jDZtpW8rUT8lMld3RFF/Vi0AAP//AJIAAAPdBYkCJgBRAAAABwDHAQIAAP//AEj/8gQOBakCJgBSAAAABwBDAPsAAP//AEj/8gQOBakCJgBSAAAABwB2APsAAP//AEj/8gQOBZkCJgBSAAAABwDFAPsAAP//AEj/8gQOBYkCJgBSAAAABwDHAPsAAP//AEj/8gQOBXsCJgBSAAAABwBqAPsAAAADAGQAvQQiBIAAAwAXACsAQUAOKCYeHBQSCggDAgEABgcrQCsAAgADAAIDAQAmAAAAAQQAAQAAJgAEBQUEAQAjAAQEBQEAJAAFBAUBACEFsDgrEyEVIQE0PgIzMh4CFRQOAiMiLgIRND4CMzIeAhUUDgIjIi4CZAO+/EIBYhMhLRsaLSIUFCItGhstIRMTIS0bGi0iFBQiLRobLSETAuOHAaYaLiIUFCIuGhstIhMTIi39UxouIhQUIi4aGy0iExMiLQAAAwBA/7QELQRJACEAKwA1AStAEi0sLDUtNSgmIR8aGBAOCQcHBytLsAlQWEA8HAEEAjQzJSQABQUECwEABQMeEQEFAR0AAwIDNAABAAE1AAQEAgEAJAACAhQfBgEFBQABACQAAAASACAIG0uwX1BYQDwcAQQCNDMlJAAFBQQLAQAFAx4RAQUBHQADAgM0AAEAATUABAQCAQAkAAICFB8GAQUFAAEAJAAAABUAIAgbS7BsUFhAOhwBBAI0MyUkAAUFBAsBAAUDHhEBBQEdAAMCAzQAAQABNQACAAQFAgQBACYGAQUFAAEAJAAAABUAIAcbQEQcAQQCNDMlJAAFBQQLAQAFAx4RAQUBHQADAgM0AAEAATUAAgAEBQIEAQAmBgEFAAAFAQAjBgEFBQABACQAAAUAAQAhCFlZWbA4KwEeARUUDgIjIiYnBw4BKwE3LgE1ND4CMzIWFzc+ATsBARQXASYjIg4CATI+AjU0JwEWA5A9QkN9s29MgzY3FjsdQ5FCRkR+s29PhzhEFCAgWvzJOwG0SW9MdE8oATdLc08oNP5PRgN0RL92eMCISSIgSh0ZxEXCfHfBiEomI1sbF/2xoGECTjg2ZJH+JDVkj1qXYP23MAD//wB6//ADxQWpAiYAWAAAAAcAQwD1AAD//wB6//ADxQWpAiYAWAAAAAcAdgD1AAD//wB6//ADxQWZAiYAWAAAAAcAxQD1AAD//wB6//ADxQV7AiYAWAAAAAcAagD1AAD//wAO/qkD8AWpAiYAXAAAAAcAdgDkAAAAAgCS/qkEDwXBABQAIwF+QBYWFQAAHRsVIxYjABQAFBEPBwUCAQgHK0uwCVBYQDIZGAMDBQQTAQIFAh4AAAANHwcBBAQBAQAkAAEBFB8ABQUCAQAkAAICEh8GAQMDEAMgBxtLsElQWEAyGRgDAwUEEwECBQIeAAAADR8HAQQEAQEAJAABARQfAAUFAgEAJAACAhUfBgEDAxADIAcbS7BfUFhANBkYAwMFBBMBAgUCHgcBBAQBAQAkAAEBFB8ABQUCAQAkAAICFR8GAQMDAAAAJAAAAA0DIAcbS7BsUFhAMhkYAwMFBBMBAgUCHgABBwEEBQEEAQAmAAUFAgEAJAACAhUfBgEDAwAAACQAAAANAyAGG0uwjVBYQDAZGAMDBQQTAQIFAh4AAQcBBAUBBAEAJgAFAAIDBQIBACYGAQMDAAAAJAAAAA0DIAUbQDkZGAMDBQQTAQIFAh4AAAEDAAAAIwABBwEEBQEEAQAmAAUAAgMFAgEAJgAAAAMAACQGAQMAAwAAIQZZWVlZWbA4KxMRMxE+ATMyHgIVFA4CIyImJxEBIgYHER4BMzI2NTQuApKyP6RpV45kNjxwo2ZfhDMBEVeDNzF1SI2YI0Jg/qkHGP2hSllCg8F+cMGNUUU//jMEzlBJ/hZCNsq7Y45bKgAA//8ADv6pA/AFewImAFwAAAAHAGoA5AAAAAEApgAAAVgD9QADAFlACgAAAAMAAwIBAwcrS7BfUFhADQIBAQEOHwAAAAwAIAIbS7BsUFhADwIBAQEAAAAkAAAADwAgAhtAGQIBAQAAAQAAIwIBAQEAAAAkAAABAAAAIQNZWbA4KwERIxEBWLID9fwLA/UAAgBc//IIJwWpABwAMAIyQBoAAC0rIyEAHAAcGRcPDQoJCAcGBQQDAgELBytLsB5QWEAzGwEBAAsBAwICHgABAAIDAQIAACYIAQAABgEAJAoHAgYGER8JAQMDBAEAJAUBBAQMBCAGG0uwIlBYQD8bAQEACwEDAgIeAAEAAgMBAgAAJggBAAAGAQAkAAYGER8IAQAABwAAJAoBBwcLHwkBAwMEAQAkBQEEBAwEIAgbS7AsUFhASxsBAQALAQMCAh4AAQACAwECAAAmCAEAAAYBACQABgYRHwgBAAAHAAAkCgEHBwsfCQEDAwQAACQABAQMHwkBAwMFAQAkAAUFFQUgChtLsDBQWEBJGwEBAAsBAwICHgABAAIDAQIAACYACAgGAQAkAAYGER8AAAAHAAAkCgEHBwsfCQEDAwQAACQABAQMHwkBAwMFAQAkAAUFFQUgChtLsF9QWEBHGwEBAAsBAwICHgABAAIDAQIAACYACAgGAQAkAAYGER8AAAAHAAAkCgEHBwsfAAMDBAAAJAAEBAwfAAkJBQEAJAAFBRUFIAobS7BsUFhAQxsBAQALAQMCAh4ABgAIAAYIAQAmCgEHAAABBwAAACYAAQACAwECAAAmAAMDBAAAJAAEBA8fAAkJBQEAJAAFBRUFIAgbQEobAQEACwEDAgIeAAYACAAGCAEAJgoBBwAAAQcAAAAmAAEAAgMBAgAAJgAJBAUJAQAjAAMABAUDBAAAJgAJCQUBACQABQkFAQAhCFlZWVlZWbA4KwEVIREhFSERIRUhNQ4BIyIuAQI1NBI+ATMyFhc1AzQuAiMiDgIVFB4CMzI+Aggn/VACLf3TArD8pFT+oY7qqFxcqOqOof5UF0B3qWhoqXhBQXipaGipd0AFmZ7+JJj+F57weIZrwQENoaEBDcNsh3nw/TOE05RPT5TThITTk05Ok9MAAwBI//IGdQQFADAAQABLAmRAJEJBMjEBAEdGQUtCSzo4MUAyQCwqIiAcGhQSDw0JBwAwATAOBytLsAlQWEA+LgEKCB4WAgIDAh4AAwECAQMCMgAKAAEDCgEBACYNCQIICAABACQGCwIAABQfDAcCAgIEAQAkBQEEBBIEIAcbS7A2UFhAPi4BCggeFgICAwIeAAMBAgEDAjIACgABAwoBAQAmDQkCCAgAAQAkBgsCAAAUHwwHAgICBAEAJAUBBAQVBCAHG0uwX1BYQEsuAQoIHhYCAgMCHgADAQIBAwIyAAoAAQMKAQEAJg0BCQkAAQAkBgsCAAAUHwAICAABACQGCwIAABQfDAcCAgIEAQAkBQEEBBUEIAkbS7BsUFhAQy4BCggeFgICAwIeAAMBAgEDAjINAQkIAAkBACMGCwIAAAgKAAgBACYACgABAwoBAQAmDAcCAgIEAQAkBQEEBBUEIAcbS7BOUFhATi4BCggeFgICAwIeAAMBAgEDAjINAQkIAAkBACMGCwIAAAgKAAgBACYACgABAwoBAQAmDAcCAgQEAgEAIwwHAgICBAEAJAUBBAIEAQAhCBtLuAPoUFhAVC4BCggeFgICAwIeAAMBAgEDAjINAQkIAAkBACMGCwIAAAgKAAgBACYACgABAwoBAQAmAAIHBAIBACMMAQcEBAcBACMMAQcHBAEAJAUBBAcEAQAhCRtAVS4BCggeFgICAwIeAAMBAgEDAjILAQANAQkIAAkBACYABgAICgYIAQAmAAoAAQMKAQEAJgACBwQCAQAjDAEHAAUEBwUBACYAAgIEAQAkAAQCBAEAIQlZWVlZWVmwOCsBMh4CFRQGIyEeAzMyPgIzMh8BDgMjIiYnDgEjIi4CNTQ+AjMyFhc+AQEyNjU0LgIjIg4CFRQWASIOAgchNC4CBPRSjWc7EBn9jQQuTWlBPVlALRIVDDMhV2NqNHe/NzbBiWSkdUBAd6dmg741Mrv9p4uIIkRoRUdoRSKJA2U9YEUqBwH8HzxXBAVAeq9wKR1bh1osHyQfEUEoOyYTc3dwekmIwHh3wYhKeW5pfvx4ybRaj2I0NGKPWrTJAwUpTnBGQW9QLQAAAQAABJECZAWZAA0AW0AIDQwLCQIAAwcrS7BfUFhAEwUBAAIBHgEBAAIANQACAgsCIAMbS7DoUFhAEQUBAAIBHgACAAI0AQEAACsDG0AVBQEBAgEeAAIBAjQAAQABNAAAACsEWVmwOCsBIyIvAg8BDgErARMzAmR3FROAERCBBhYMe9+mBJEOfhERfgUJAQgAAgBqBGsB+wXeABMAHwBTQAoeHBgWEA4GBAQHK0uwHFBYQBcAAgABAgEBACUAAwMAAQAkAAAADQMgAxtAIQAAAAMCAAMBACYAAgEBAgEAIwACAgEBACQAAQIBAQAhBFmwOCsTND4CMzIeAhUUDgIjIi4CNxQWMzI2NTQmIyIGaiA3SCgpSTggIDhJKShINyBkNi8tNzctLzYFIypEMhsbMkQqKUQwGxswRCksODgsLTg4AAAAAQASBK4CWQWJABoA00ASAQAXFREQDw0KCAQDABoBGgcHK0uwLlBYQBoGAQAEAQIAAgEAJQADAwEBACQFAQEBCwMgAxtLsE1QWEAlBgEAAwIAAQAjBQEBAAMCAQMBACYGAQAAAgEAJAQBAgACAQAhBBtLsHBQWEAsAAEFAAUBADIGAQADAgABACMABQADAgUDAQAmBgEAAAIBACQEAQIAAgEAIQUbQDMAAQUABQEAMgAEAwIDBAIyBgEAAwIAAQAjAAUAAwQFAwEAJgYBAAACAQAkAAIAAgEAIQZZWVmwOCsBMjY3MxQOAiMiLgIjIgcjND4CMzIeAgGhJCcBbBkvQSgjPTYwF0gCbxowQicjPTYvBS0qLC9POB8dIh1YME85Hx0iHQAAAAABAJwCDQO8Ao8AAwAlQAYDAgEAAgcrQBcAAAEBAAAAIwAAAAEAACQAAQABAAAhA7A4KxMhFSGcAyD84AKPggAAAQCcAg0FzgKPAAMAJUAGAwIBAAIHK0AXAAABAQAAACMAAAABAAAkAAEAAQAAIQOwOCsTIRUhnAUy+s4Cj4IAAAEAOgP0AScF+QAYAAdABAYAAQsrEy4BNTQ2NxceARUUBw4DFRQWFxYVFAdyHRtZUDcIBQoQHhgOExcHGwP0MGEwWqVFIgUMBg4KFCwxNh4gRCYLDBgKAAABAFoD3wFGBeQAGAAHQAQABgELKwEeARUUBgcnLgE1NDc+AzU0JicmNTQ3AQ8dGllPNwgFChAeGA4TFwcbBeQwYDBbpUUiBQwGDgoTLTE2HiBEJgsLGAsAAQBa/uwBRgDxABgAB0AEAAYBCyslHgEVFAYHJy4BNTQ3PgM1NCYnJjU0NwEPHRpZTzcIBQoQHhgOExcHG/EwYDBbpUUiBQwGDgoTLTE2HiBEJgsLGAsAAAIAOgP0AlcF+QAYADEACUAGHxkGAAILKxMuATU0NjcXHgEVFAcOAxUUFhcWFRQHFy4BNTQ2NxceARUUBw4DFRQWFxYVFAdyHRtZUDcIBQoQHhgOExcHG8MdG1lQNwgFChAeGA4TFwcbA/QwYTBapUUiBQwGDgoULDE2HiBEJgsMGAosMGEwWqVFIgUMBg4KFCwxNh4gRCYLDBgKAAIAWgPfAnYF5AAYADEACUAGGR8ABgILKwEeARUUBgcnLgE1NDc+AzU0JicmNTQ3JR4BFRQGBycuATU0Nz4DNTQmJyY1NDcBDx0aWU83CAUKEB4YDhMXBxsBnR0aWU83CAUKEB4YDhMXBxsF5DBgMFulRSIFDAYOChMtMTYeIEQmCwsYCywwYDBbpUUiBQwGDgoTLTE2HiBEJgsLGAsAAAACAFr+7AJ2APEAGAAxAAlABhkfAAYCCyslHgEVFAYHJy4BNTQ3PgM1NCYnJjU0NyUeARUUBgcnLgE1NDc+AzU0JicmNTQ3AQ8dGllPNwgFChAeGA4TFwcbAZ0dGllPNwgFChAeGA4TFwcb8TBgMFulRSIFDAYOChMtMTYeIEQmCwsYCywwYDBbpUUiBQwGDgoTLTE2HiBEJgsLGAsAAAAAAQDQAOADtwPIABMAPEAGEA4GBAIHK0uwF1BYQA4AAQEAAQAkAAAADgEgAhtAFwAAAQEAAQAjAAAAAQEAJAABAAEBACEDWbA4KxM0PgIzMh4CFRQOAiMiLgLQO2SHTE2IZTs7ZYhNTIdkOwJTTYhlOztliE1Nh2Q7O2SHAAEAigCBAdkDogAUAAdABAIUAQsrEzUTFx4BFRQHAwYHFhcTHgEVFA8Bivk6Dg4Knw4ODw2fBQUcOgIGFwGFHAcWDREQ/vsYDQ4W/vsIEggcDRwAAAEAlgCBAeUDogASAAdABBICAQsrARUDJyY1NDcTNjcmJwMmNTQ/AQHl+TocCp8NDgwPnwocOgIdF/57HA0cEREBBRgMCxoBBRERHA0cAAAAAf9EAAADIwWZAAkAQkAGCQcEAgIHK0uwX1BYQAwAAQELHwAAAAwAIAIbS7BsUFhADAABAAE0AAAADwAgAhtACgABAAE0AAAAKwJZWbA4KycOASsBAT4BOwEUEywdTAMyEi4gTTUfFgVcHSAAAQAi//EEcgWnAEcBjUAeR0ZAPz49OTcyMCspJyUiIRsZFhUTEQ4MBwUBAA4HK0uwX1BYQEwJAQIDNQEICQIeAAIDAAMCADIACQcIBwkIMgQBAA0BBQYABQEAJgwBBgsBBwkGBwEAJgADAwEBACQAAQERHwAICAoBACQACgoSCiAJG0uwbFBYQEoJAQIDNQEICQIeAAIDAAMCADIACQcIBwkIMgABAAMCAQMBACYEAQANAQUGAAUBACYMAQYLAQcJBgcBACYACAgKAQAkAAoKFQogCBtLsOhQWEBTCQECAzUBCAkCHgACAwADAgAyAAkHCAcJCDIAAQADAgEDAQAmBAEADQEFBgAFAQAmDAEGCwEHCQYHAQAmAAgKCggBACMACAgKAQAkAAoICgEAIQkbQGMJAQIDNQEICQIeAAIDAAMCADIACQcIBwkIMgABAAMCAQMBACYAAAANBQANAAAmAAQABQYEBQEAJgAMAAsHDAsAACYABgAHCQYHAQAmAAgKCggBACMACAgKAQAkAAoICgEAIQtZWVmwOCsTMz4DMzIWFwcOASMiLgIjIgYHIRUUBiMhDgEVHAEXIRUUBiMhHgEzMj4EMzIWHwEOASMiLgInIzUzJjQ1NDY3IyKTFF+NuGyGvkY9CBAOESU+YUuSwSACIxsY/gQBAQEB0xwY/mocwJI2UjwrIBkMCAwIS0bQj3S6iFcQjoYBAQGHA4N+y49MZFhECQ0mLibIwDcSHRQoFRAeDzgRHc7OFSAlIBUHB0ZmcU+T04NmDx4QFCkUAAEAlAJcA/AC4wADACVABgMCAQACBytAFwAAAQEAAAAjAAAAAQAAJAABAAEAACEDsDgrEyEVIZQDXPykAuOHAAABABoAAAPLBb8AIQFtQBQAAAAhACEgHx4dHBsYEw4MBwYIBytLsDJQWEAtERACAgEBAQQFAh4AAgIBAQAkAAEBDR8ABQUAAAAkAwEAAA4fBwYCBAQMBCAGG0uwX1BYQCsREAICAQEBBAUCHgMBAAAFBAAFAAAmAAICAQEAJAABAQ0fBwYCBAQMBCAFG0uwbFBYQCsREAICAQEBBAUCHgMBAAAFBAAFAAAmAAICAQEAJAABAQ0fBwYCBAQPBCAFG0uwxlBYQCsREAICAQEBBAUCHgcGAgQFBDUDAQAABQQABQAAJgACAgEBACQAAQENAiAFG0uw6FBYQDUREAICAQEBBAUCHgcGAgQFBDUAAQACAAECAQAmAwEABQUAAAAjAwEAAAUAACQABQAFAAAhBhtAQREQAgIBAQEGBQIeAAACAwIAAzIHAQYFBAUGBDIABAQzAAEAAgABAgEAJgADBQUDAAAjAAMDBQAAJAAFAwUAACEIWVlZWVmwOCszEScuAT0BMzU0PgIzMhYXBw4BIyImIyIGHQEhESMRIRG6cBUboDp0rXMmTx0GAhQTCxgPsaECZLL+VANdDQUVFEk4XZtwPgoKXQ0HAZOUM/wfA2D8oAAAAAABABoAAAPyBbQAHwGiQBYAAAAfAB8eHRwbGBQTEhEPDgwHBgkHK0uwJlBYQCkBAQMGAR4ABAQBAQAkAgEBAQ0fAAYGAAAAJAUBAAAOHwgHAgMDDAMgBhtLsDJQWEAtAQEDBgEeAAICER8ABAQBAQAkAAEBDR8ABgYAAAAkBQEAAA4fCAcCAwMMAyAHG0uwX1BYQCsBAQMGAR4FAQAABgMABgAAJgACAhEfAAQEAQEAJAABAQ0fCAcCAwMMAyAGG0uwbFBYQC0BAQMGAR4FAQAABgMABgAAJgAEBAEBACQAAQENHwACAgMAACQIBwIDAw8DIAYbS7CkUFhAKgEBAwYBHgUBAAAGAwAGAAAmAAIIBwIDAgMAACUABAQBAQAkAAEBDQQgBRtLsOhQWEA0AQEDBgEeAAIEAwIBACMAAQAEAAEEAQAmBQEAAAYDAAYAACYAAgIDAAAkCAcCAwIDAAAhBhtAQgEBBwYBHgAABAUEAAUyCAEHBgMGBwMyAAIEAwIBACMAAQAEAAEEAQAmAAUABgcFBgAAJgACAgMAACQAAwIDAAAhCFlZWVlZWbA4KzMRJy4BPQEzNTQ+AjMyFjsBESMRLgEjIgYdASEVIRG6cBUboDRonGhTmUhksjZtKIKMAQj+/gNdDQUVFEk2VJdwQg36WQUqAgaVhjaB/KAAAAH/1AYKAcQG9gAJAB1ACgEABgQACQEJAwcrQAsCAQABADQAAQErArA4KxMyFh8BIyImJyWdICAU04sVGBH+2Qb2DRTLBwzZAAL/8AYWAnYG8gATACcAVkAKJCIaGBAOBgQEBytLsOhQWEAaAwEBAAABAQAjAwEBAQABACQCAQABAAEAIQMbQCEAAQMAAQEAIwADAAIAAwIBACYAAQEAAQAkAAABAAEAIQRZsDgrExQOAiMiLgI1ND4CMzIeAgUUDgIjIi4CNTQ+AjMyHgLMEh4pFxUnHhISHicVFykeEgGqEh4oFhcoHhERHigXFigeEgaCFiceEREeJxYXKR4SEh4pFxYnHhERHicWFykeEhIeKQAAAAEAogYKApIG9gALAB1ACgAAAAsACgUDAwcrQAsCAQEAATQAAAArArA4KwEFDgErATc+AzMCkv7aERoVitMKERIWEQb22AwIywoMCAMAAAAAAf/sBgoCeAbcABAAP0AIEA8ODAIAAwcrS7DoUFhAEQcBAAIBHgACAAI0AQEAACsDG0AVBwEBAgEeAAIBAjQAAQABNAAAACsEWbA4KwEjIiYvASYnBg8BDgErATczAniHDBwJgggECASCCRwMh+6wBgoHBl8EBAYCXwYH0gAAAAACAHYFzQHxBy0AEwAfADNACh4cGBYQDgYEBAcrQCEAAAADAgADAQAmAAIBAQIBACMAAgIBAQAkAAECAQEAIQSwOCsTND4CMzIeAhUUDgIjIi4CNxQWMzI2NTQmIyIGdh8zRCYnRTUeHjVFJyZEMx9ZNi8tNzctLzYGeydCLxoaL0InJkAuGhouQCYrOTkrLTg4AAAAAQAaBggCVgbSABsAsEASAQAYFhIRDw0KCAQDABsBGwcHK0uwW1BYQCUGAQADAgABACMFAQEAAwIBAwEAJgYBAAACAQAkBAECAAIBACEEG0uwcFBYQCwAAQUABQEAMgYBAAMCAAEAIwAFAAMCBQMBACYGAQAAAgEAJAQBAgACAQAhBRtAMwABBQAFAQAyAAQDAgMEAjIGAQADAgABACMABQADBAUDAQAmBgEAAAIBACQAAgACAQAhBllZsDgrATI2NzMUDgIjIi4CIyIGByM0PgIzMh4CAasjJQFiFio+KCNAOzQYIiUBZBcrPycjQDo0Bn8pJStINR0aHxorJCtJNB4aHxoAAAAAAQAAAN4AggAHAGIABAACACIALQA5AAAAkAblAAIAAQAAANoA2gDaANoBTgHEAsYD6AUUBiYGZgaaBs4HUAekCAIIIghsCJgJEgmcCkQLKgu4DG4NBg1eDiQOwg9ID+QQDhA8EGQRGhI+EsgTZhQSFHwU5hVCFgIWchaoFyYXxhgIGKYZGBmUGgQazht4HC4ckB0IHWgd+h6AHugfRB96H6Yf2CAoIEogeiFmIlAjECPoJLQldCamJ0QnziiMKUwpkipeKv4riiyALXYuDC7CL54wQjCiMUox0jI8MpgzEDM8M7Y0BDQENHg1mjaINyY36jgoOPA5YjqUO1w7qDviPAI9QD1gPcQ+Kj6uP14/jkBqQNxBEEGgQg5CcEK0Q9xFOEbwR6hHtEfAR8xH2EfkR/BIsEpaSmZKckp+SopKlkqiSq5KuktkS3BLfEuIS5RLoEusS9JMuEzETNBM3EzoTPRNbk5ITlROYE5sTnhOhE6QUOJR+lIGUhJSHlIqUjZSQlJOUlpTAlMOUxpTJlMyUz5TSlOsVJZUolSuVLpUxlTSVcpV1lYQV3JZEFlYWbJaRlpmWoZaslreWwpbWFuoW/hcNlxgXIhcvl3mXgZe8F/wYBRgemCiYOJhLGGwAAAAAQAAAAEaoCTQv0xfDzz1ABkH0AAAAADKk15wAAAAAMrfLoX/RP6TCLkHLQAAAAkAAgAAAAAAAAQnAC0AAAAAAAAAAAGCAAACrgDaAxoAmASIADYEiABqBiQASAV+AFIBzACYAlgAhgJYAEoDIABgBIgAZAGoAF4CtgBkAagAWALq//QEiAA8BIgAygSIAGgEiABsBIgAKASIAGwEiABsBIgAbgSIAGAEiACUAfgAgAH4AIAEiACUBIgAlgSIAO4DHAAiBmwAVgVQAAoFDgCuBVoAWgXiAK4EigCuBGwArgW8AFoF6ACuAmYA0gN4ADwFUgDCBAQArgcwAK4F6ACuBjwAXATGAMIGPABcBQgAwgQkADoEnAAcBbQAoAVQAAgH9gAOBQYADgTqAAgE4ABWAlgAjgLu/+wCWABaBIgAngMUAAACZgAmA/YAXAReAJgDpgBKBF4ASAQYAEoCogAaA/4AMgRYAJICAACCAfz/yAQYAJgCAACmBmoAkgRYAJIEWABIBFAAkgReAEgDJgCSA2QAPgLqACwEWAB6BAAAEgX8AA4D8AAcBAAADgOcAEYCWAAsAlgA5gJYAFgEiAB0AYIAAAKuANoEiACKBIgANASIAIQEiAAsAlgA5gPuAHICZgAOBjwARAKsAFwDngCKBIgAlAK2AGQGPABEAmYAFAMaAEYEiABkApgAUgKYAFQCZgDEBFgAegU6ACoCIgB8AmYAhAKYAHgC+gBIA54AlgWQAGYFkABmBZIARAMcACwFUAAKBVAACgVQAAoFUAAKBVAACgVQAAoHQv/oBVoAWgSKAK4EigCuBIoArgSKAK4CZv/MAmYAmgJm/+8CZv/yBioAMgXoAK4GPABcBjwAXAY8AFwGPABcBjwAXASIAH4GPABcBbQAoAW0AKAFtACgBbQAoATqAAgExgDCBMIAugP2AFwD9gBcA/YAXAP2AFwD9gBcA/YAXAZgAFwDpgBKBBgASgQYAEoEGABKBBgASgIA//kCAACXAgD/0gIA/+EEUgBMBFgAkgRYAEgEWABIBFgASARYAEgEWABIBIgAZARYAEAEWAB6BFgAegRYAHoEWAB6BAAADgRQAJIEAAAOAgAApgiQAFwGxgBIAmYAAAJmAGoCZgASBFgAnAZqAJwBqAA6AagAWgGoAFoC2AA6AtgAWgLYAFoEiADQAngAigJ4AJYCZv9EBIgAIgSIAJQEdAAaBKQAGgJm/9T/8ACi/+wAdgAaAAAAAQAAB7b+VgAACQL/RP9DCLkAAQAAAAAAAAAAAAAAAAAAANkAAwQSAZAABQAABXgFFAAAARgFeAUUAAADugB4AfQIAwIPBQICAgQDAgOgAACvUABgSwAAAAAAAAAAdHlQTABAAAD7AgZK/noBkAe2AaogAACTAAAAAAP1BZkAAAAgAAIAAAACAAAAAwAAABQAAwABAAAAFAAEAKAAAAAkACAABAAEAAAADQB+AP8BMQFTAsYC2gLcIBQgGiAeICIgOiBEIKwiEv//AAAAAAANACAAoAExAVICxgLaAtwgEyAYIBwgIiA5IEQgrCIS//8AAf/1/+P/wv+R/3H9//3s/evgteCy4LHgruCY4I/gKN7DAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwACwgZLAgYGYjsABQWGVZLbABLCBkILDAULAEJlqwBEVbWCEjIRuKWCCwUFBYIbBAWRsgsDhQWCGwOFlZILAJRWFksChQWCGwCUUgsDBQWCGwMFkbILDAUFggZiCKimEgsApQWGAbILAgUFghsApgGyCwNlBYIbA2YBtgWVlZG7AAK1lZI7AAUFhlWVktsAIssAcjQrAGI0KwACNCsABDsAZDUViwB0MrsgABAENgQrAWZRxZLbADLLAAQyBFILACRWOwAUViYEQtsAQssABDIEUgsAArI7EGBCVgIEWKI2EgZCCwIFBYIbAAG7AwUFiwIBuwQFlZI7AAUFhlWbADJSNhREQtsAUssAFgICCwCUNKsABQWCCwCSNCWbAKQ0qwAFJYILAKI0JZLbAGLLAAQ7ACJUKyAAEAQ2BCsQkCJUKxCgIlQrABFiMgsAMlUFiwAEOwBCVCioogiiNhsAUqISOwAWEgiiNhsAUqIRuwAEOwAiVCsAIlYbAFKiFZsAlDR7AKQ0dgsIBiILACRWOwAUViYLEAABMjRLABQ7AAPrIBAQFDYEItsAcsACBgsAFhswsLAQBCimCxBgIrLbAILCBgsAtgIEMjsAFgQ7ACJbACJVFYIyA8sAFgI7ASZRwbISFZLbAJLLAIK7AIKi2wCiwgIEcgILACRWOwAUViYCNhOCMgilVYIEcgILACRWOwAUViYCNhOBshWS2wCywAsAEWsAoqsAEVMC2wDCwgNbABYC2wDSwAsANFY7ABRWKwACuwAkVjsAFFYrAAK7AAFrQAAAAAAEQ+IzixDAEVKi2wDiwgPCBHILACRWOwAUViYLAAQ2E4LbAPLC4XPC2wECwgPCBHILACRWOwAUViYLAAQ2GwAUNjOC2wESyxAgAWJSAuIEewACNCsAIlSYqKRyNHI2FisAEjQrIQAQEVFCotsBIssAAWsAQlsAQlRyNHI2GwAStlii4jICA8ijgtsBMssAAWsAQlsAQlIC5HI0cjYSCwBSNCsAErILBgUFggsEBRWLMDIAQgG7MDJgQaWUJCIyCwCEMgiiNHI0cjYSNGYLAFQ7CAYmAgsAArIIqKYSCwA0NgZCOwBENhZFBYsANDYRuwBENgWbADJbCAYmEjICCwBCYjRmE4GyOwCENGsAIlsAhDRyNHI2FgILAFQ7CAYmAjILAAKyOwBUNgsAArsAUlYbAFJbCAYrAEJmEgsAQlYGQjsAMlYGRQWCEbIyFZIyAgsAQmI0ZhOFktsBQssAAWICAgsAUmIC5HI0cjYSM8OC2wFSywABYgsAgjQiAgIEYjR7AAKyNhOC2wFiywABawAyWwAiVHI0cjYbAAVFguIDwjIRuwAiWwAiVHI0cjYSCwBSWwBCVHI0cjYbAGJbAFJUmwAiVhsAFFYyNiY7ABRWJgIy4jICA8ijgjIVktsBcssAAWILAIQyAuRyNHI2EgYLAgYGawgGIjICA8ijgtsBgsIyAuRrACJUZSWCA8WS6xCQEUKy2wGSwjIC5GsAIlRlBYIDxZLrEJARQrLbAaLCMgLkawAiVGUlggPFkjIC5GsAIlRlBYIDxZLrEJARQrLbAbLLAAFSBHsAAjQrIAAQEVFBMusA4qLbAcLLAAFSBHsAAjQrIAAQEVFBMusA4qLbAdLLEAARQTsA8qLbAeLLARKi2wIyywEisjIC5GsAIlRlJYIDxZLrEJARQrLbAmLLATK4ogIDywBSNCijgjIC5GsAIlRlJYIDxZLrEJARQrsAVDLrAJKy2wJCywABawBCWwBCYgLkcjRyNhsAErIyA8IC4jOLEJARQrLbAhLLEIBCVCsAAWsAQlsAQlIC5HI0cjYSCwBSNCsAErILBgUFggsEBRWLMDIAQgG7MDJgQaWUJCIyBHsAVDsIBiYCCwACsgiophILADQ2BkI7AEQ2FkUFiwA0NhG7AEQ2BZsAMlsIBiYbACJUZhOCMgPCM4GyEgIEYjR7AAKyNhOCFZsQkBFCstsCAssAgjQrAfKy2wIiywEisusQkBFCstsCUssBMrISMgIDywBSNCIzixCQEUK7AFQy6wCSstsB8ssAAWRSMgLiBGiiNhOLEJARQrLbAnLLAUKy6xCQEUKy2wKCywFCuwGCstsCkssBQrsBkrLbAqLLAAFrAUK7AaKy2wKyywFSsusQkBFCstsCwssBUrsBgrLbAtLLAVK7AZKy2wLiywFSuwGistsC8ssBYrLrEJARQrLbAwLLAWK7AYKy2wMSywFiuwGSstsDIssBYrsBorLbAzLLAXKy6xCQEUKy2wNCywFyuwGCstsDUssBcrsBkrLbA2LLAXK7AaKy2wNywrLbA4LLA3KrABFTAtAAAAuQgACABjILABI0QgsAMjcLAURSAgsChgZiCKVViwAiVhsAFFYyNisAIjRLMJCgMCK7MLEAMCK7MRFgMCK1myBCgGRVJEswsQBAIrAAAAAAAAAAAAAAAAuACLALgAuACLAIwFmQAABboD9QAA/qkFqf/wBboEBf/y/pQAAAAAAAEAAFcUAAEOgTAAAAsnBgAFAAn/SgAFAA//HAAFABD/TgAFABH/HAAFABL/SgAFACP/0gAFACT/SgAFACb/0gAFACr/0gAFADL/0gAFADT/0gAFADkAMAAFADoAMAAFADwAHgAFAD8AMAAFAET/wAAFAEb/pAAFAEf/pAAFAEj/pAAFAFL/pAAFAFT/pAAFAG3/TgAFAG//TgAFAHn/TgAFAH3/TgAFAIL/SgAFAIP/SgAFAIT/SgAFAIX/SgAFAIb/SgAFAIf/SgAFAIj/SgAFAIn/0gAFAJT/0gAFAJX/0gAFAJb/0gAFAJf/0gAFAJj/0gAFAJr/0gAFAJ8AHgAFAKL/wAAFAKP/wAAFAKT/wAAFAKX/wAAFAKb/wAAFAKf/wAAFAKj/wAAFAKn/pAAFAKr/pAAFAKv/pAAFAKz/pAAFAK3/pAAFALL/pAAFALT/pAAFALX/pAAFALb/pAAFALf/pAAFALj/pAAFALr/pAAFAMP/0gAFAMT/pAAFAMj/TgAFAMn/TgAFAMz/HAAFAM//HAAFAND/TgAFANH/TgAFANL/TgAKAAn/SgAKAA//HAAKABD/TgAKABH/HAAKABL/SgAKACP/0gAKACT/SgAKACb/0gAKACr/0gAKADL/0gAKADT/0gAKADkAMAAKADoAMAAKADwAHgAKAD8AMAAKAET/wAAKAEb/pAAKAEf/pAAKAEj/pAAKAFL/pAAKAFT/pAAKAG3/TgAKAG//TgAKAHn/TgAKAH3/TgAKAIL/SgAKAIP/SgAKAIT/SgAKAIX/SgAKAIb/SgAKAIf/SgAKAIj/SgAKAIn/0gAKAJT/0gAKAJX/0gAKAJb/0gAKAJf/0gAKAJj/0gAKAJr/0gAKAJ8AHgAKAKL/wAAKAKP/wAAKAKT/wAAKAKX/wAAKAKb/wAAKAKf/wAAKAKj/wAAKAKn/pAAKAKr/pAAKAKv/pAAKAKz/pAAKAK3/pAAKALL/pAAKALT/pAAKALX/pAAKALb/pAAKALf/pAAKALj/pAAKALr/pAAKAMP/0gAKAMT/pAAKAMj/TgAKAMn/TgAKAMz/HAAKAM//HAAKAND/TgAKANH/TgAKANL/TgALACP/2AALACb/2AALACr/2AALADL/2AALADT/2AALAEb/4AALAEf/4AALAEj/4AALAFL/4AALAFT/4AALAIn/2AALAJT/2AALAJX/2AALAJb/2AALAJf/2AALAJj/2AALAJr/2AALAKn/4AALAKr/4AALAKv/4AALAKz/4AALAK3/4AALALL/4AALALT/4AALALX/4AALALb/4AALALf/4AALALj/4AALALr/4AALAMP/2AALAMT/4AANAAn/SgANAA//HAANABD/TgANABH/HAANABL/SgANACP/0gANACT/SgANACb/0gANACr/0gANADL/0gANADT/0gANADkAMAANADoAMAANADwAHgANAD8AMAANAET/wAANAEb/pAANAEf/pAANAEj/pAANAFL/pAANAFT/pAANAG3/TgANAG//TgANAHn/TgANAH3/TgANAIL/SgANAIP/SgANAIT/SgANAIX/SgANAIb/SgANAIf/SgANAIj/SgANAIn/0gANAJT/0gANAJX/0gANAJb/0gANAJf/0gANAJj/0gANAJr/0gANAJ8AHgANAKL/wAANAKP/wAANAKT/wAANAKX/wAANAKb/wAANAKf/wAANAKj/wAANAKn/pAANAKr/pAANAKv/pAANAKz/pAANAK3/pAANALL/pAANALT/pAANALX/pAANALb/pAANALf/pAANALj/pAANALr/pAANAMP/0gANAMT/pAANAMj/TgANAMn/TgANAMz/HAANAM//HAANAND/TgANANH/TgANANL/TgAPAAX/HAAPAAr/HAAPAA3/HAAPABD/eAAPACP/yAAPACb/yAAPACr/yAAPADL/yAAPADT/yAAPADf/TAAPADn/TAAPADr/hgAPADz/aAAPAD//TAAPAFn/fAAPAFr/wgAPAFz/fAAPAGz/HAAPAG3/eAAPAG//eAAPAHL/HAAPAHn/eAAPAHz/HAAPAH3/eAAPAIn/yAAPAJT/yAAPAJX/yAAPAJb/yAAPAJf/yAAPAJj/yAAPAJr/yAAPAJ//aAAPAMP/yAAPAMj/eAAPAMn/eAAPAMr/HAAPAMv/HAAPAM3/HAAPAM7/HAAPAND/eAAPANH/eAAPANL/eAAQAAX/TgAQAAn/zAAQAAr/TgAQAA3/TgAQAA//eAAQABH/eAAQABL/zAAQACT/zAAQADf/TAAQADn/kAAQADr/4AAQADv/wgAQADz/YAAQAD3/0gAQAD//kAAQAGz/TgAQAHL/TgAQAHz/TgAQAIL/zAAQAIP/zAAQAIT/zAAQAIX/zAAQAIb/zAAQAIf/zAAQAIj/zAAQAJ//YAAQAMr/TgAQAMv/TgAQAMz/eAAQAM3/TgAQAM7/TgAQAM//eAARAAX/HAARAAr/HAARAA3/HAARABD/eAARACP/yAARACb/yAARACr/yAARADL/yAARADT/yAARADf/TAARADn/TAARADr/hgARADz/aAARAD//TAARAFn/fAARAFr/wgARAFz/fAARAGz/HAARAG3/eAARAG//eAARAHL/HAARAHn/eAARAHz/HAARAH3/eAARAIn/yAARAJT/yAARAJX/yAARAJb/yAARAJf/yAARAJj/yAARAJr/yAARAJ//aAARAMP/yAARAMj/eAARAMn/eAARAMr/HAARAMv/HAARAM3/HAARAM7/HAARAND/eAARANH/eAARANL/eAASAAUAMAASAAn/eAASAAoAMAASAA0AMAASAA//QAASABD/kAASABH/QAASABL/eAASAB3/qAASAB7/qAASACIAMAASACP/zAASACT/eAASACb/zAASACr/zAASAC3/aAASADL/zAASADT/zAASAET/jAASAEb/jAASAEf/jAASAEj/jAASAEn/4gASAEr/eAASAFD/qAASAFH/qAASAFL/jAASAFP/qAASAFT/jAASAFX/qAASAFb/lgASAFf/1gASAFj/qAASAFn/0AASAFv/zAASAFz/0AASAF3/rgASAGwAMAASAG3/kAASAG//kAASAHIAMAASAHQAOgASAHUAOgASAHf/qAASAHn/kAASAHsAOgASAHwAMAASAH3/kAASAIL/eAASAIP/eAASAIT/eAASAIX/eAASAIb/eAASAIf/eAASAIj/eAASAIn/zAASAJT/zAASAJX/zAASAJb/zAASAJf/zAASAJj/zAASAJr/zAASAKL/jAASAKP/jAASAKT/jAASAKX/jAASAKb/jAASAKf/jAASAKj/jAASAKn/jAASAKr/jAASAKv/jAASAKz/jAASAK3/jAASALL/jAASALP/qAASALT/jAASALX/jAASALb/jAASALf/jAASALj/jAASALr/jAASALv/qAASALz/qAASAL3/qAASAL7/qAASAMP/zAASAMT/jAASAMj/kAASAMn/kAASAMoAMAASAMsAMAASAMz/QAASAM0AMAASAM4AMAASAM//QAASAND/kAASANH/kAASANL/kAAjAAX/0gAjAAn/1gAjAAr/0gAjAAz/2AAjAA3/0gAjAA//yAAjABH/yAAjABL/1gAjACT/1gAjADf/ngAjADn/zAAjADv/4gAjADz/sAAjAD3/ugAjAD//zAAjAED/2AAjAGD/2AAjAGz/0gAjAHL/0gAjAHz/0gAjAIL/1gAjAIP/1gAjAIT/1gAjAIX/1gAjAIb/1gAjAIf/1gAjAIj/1gAjAJ//sAAjAMr/0gAjAMv/0gAjAMz/yAAjAM3/0gAjAM7/0gAjAM//yAAkAAX/SgAkAAr/SgAkAA3/SgAkABD/zAAkACL/yAAkACP/1gAkACb/1gAkACr/1gAkAC0AMgAkADL/1gAkADT/1gAkADf/fAAkADj/yAAkADn/eAAkADr/rAAkADz/XAAkAD//eAAkAFn/rgAkAFz/rgAkAGz/SgAkAG3/zAAkAG//zAAkAHL/SgAkAHT/SAAkAHX/SAAkAHn/zAAkAHv/SAAkAHz/SgAkAH3/zAAkAIn/1gAkAJT/1gAkAJX/1gAkAJb/1gAkAJf/1gAkAJj/1gAkAJr/1gAkAJv/yAAkAJz/yAAkAJ3/yAAkAJ7/yAAkAJ//XAAkAMP/1gAkAMj/zAAkAMn/zAAkAMr/SgAkAMv/SgAkAM3/SgAkAM7/SgAkAND/zAAkANH/zAAkANL/zAAmABD/agAmAG3/agAmAG//agAmAHn/agAmAH3/agAmAMj/agAmAMn/agAmAND/agAmANH/agAmANL/agAnAAX/0gAnAAn/1gAnAAr/0gAnAAz/2AAnAA3/0gAnAA//yAAnABH/yAAnABL/1gAnACT/1gAnADf/ngAnADn/zAAnADv/4gAnADz/sAAnAD3/ugAnAD//zAAnAED/2AAnAGD/2AAnAGz/0gAnAHL/0gAnAHz/0gAnAIL/1gAnAIP/1gAnAIT/1gAnAIX/1gAnAIb/1gAnAIf/1gAnAIj/1gAnAJ//sAAnAMr/0gAnAMv/0gAnAMz/yAAnAM3/0gAnAM7/0gAnAM//yAApAAn/fAApAA//TAApABH/TAApABL/fAApAB3/xAApAB7/xAApACIAHgApACT/fAApAC3/OgApAEb/ugApAEf/ugApAEj/ugApAFD/xAApAFH/xAApAFL/ugApAFP/xAApAFT/ugApAFX/xAApAFj/xAApAHf/xAApAIL/fAApAIP/fAApAIT/fAApAIX/fAApAIb/fAApAIf/fAApAIj/fAApAKn/ugApAKr/ugApAKv/ugApAKz/ugApAK3/ugApALL/ugApALP/xAApALT/ugApALX/ugApALb/ugApALf/ugApALj/ugApALr/ugApALv/xAApALz/xAApAL3/xAApAL7/xAApAMT/ugApAMz/TAApAM//TAAtAAn/yAAtAA//zgAtABH/zgAtABL/yAAtACT/yAAtAIL/yAAtAIP/yAAtAIT/yAAtAIX/yAAtAIb/yAAtAIf/yAAtAIj/yAAtAMz/zgAtAM//zgAuABD/wgAuACP/4gAuACb/4gAuACr/4gAuADL/4gAuADT/4gAuAEb/3AAuAEf/3AAuAEj/3AAuAEn/zAAuAFL/3AAuAFT/3AAuAFf/rgAuAFn/vgAuAFr/yAAuAFz/vgAuAG3/wgAuAG//wgAuAHn/wgAuAH3/wgAuAIn/4gAuAJT/4gAuAJX/4gAuAJb/4gAuAJf/4gAuAJj/4gAuAJr/4gAuAKn/3AAuAKr/3AAuAKv/3AAuAKz/3AAuAK3/3AAuALL/3AAuALT/3AAuALX/3AAuALb/3AAuALf/3AAuALj/3AAuALr/3AAuAMP/4gAuAMT/3AAuAMj/wgAuAMn/wgAuAND/wgAuANH/wgAuANL/wgAvAAX+3gAvAAr+3gAvAA3+3gAvAA8ANgAvABD/OgAvABEANgAvACL/zgAvACP/sAAvACb/sAAvACr/sAAvADL/sAAvADT/sAAvADf/VAAvADn/SgAvADr/aAAvADz/LAAvAD//SgAvAEb/3AAvAEf/3AAvAEj/3AAvAFL/3AAvAFT/3AAvAFn/lAAvAFr/sAAvAFz/lAAvAGz+3gAvAG3/OgAvAG//OgAvAHL+3gAvAHT/NgAvAHX/NgAvAHn/OgAvAHv/NgAvAHz+3gAvAH3/OgAvAIn/sAAvAJT/sAAvAJX/sAAvAJb/sAAvAJf/sAAvAJj/sAAvAJr/sAAvAJ//LAAvAKn/3AAvAKr/3AAvAKv/3AAvAKz/3AAvAK3/3AAvALL/3AAvALT/3AAvALX/3AAvALb/3AAvALf/3AAvALj/3AAvALr/3AAvAMP/sAAvAMT/3AAvAMj/OgAvAMn/OgAvAMr+3gAvAMv+3gAvAMwANgAvAM3+3gAvAM7+3gAvAM8ANgAvAND/OgAvANH/OgAvANL/OgAyAAX/0gAyAAn/1gAyAAr/0gAyAAz/2AAyAA3/0gAyAA//yAAyABH/yAAyABL/1gAyACT/1gAyADf/ngAyADn/zAAyADv/4gAyADz/sAAyAD3/ugAyAD//zAAyAED/2AAyAGD/2AAyAGz/0gAyAHL/0gAyAHz/0gAyAIL/1gAyAIP/1gAyAIT/1gAyAIX/1gAyAIb/1gAyAIf/1gAyAIj/1gAyAJ//sAAyAMr/0gAyAMv/0gAyAMz/yAAyAM3/0gAyAM7/0gAyAM//yAAzAAn/dgAzAA//CAAzABH/CAAzABL/dgAzACT/dgAzAC3/SgAzAET/zgAzAEb/4gAzAEf/4gAzAEj/4gAzAFL/4gAzAFT/4gAzAIL/dgAzAIP/dgAzAIT/dgAzAIX/dgAzAIb/dgAzAIf/dgAzAIj/dgAzAKL/zgAzAKP/zgAzAKT/zgAzAKX/zgAzAKb/zgAzAKf/zgAzAKj/zgAzAKn/4gAzAKr/4gAzAKv/4gAzAKz/4gAzAK3/4gAzALL/4gAzALT/4gAzALX/4gAzALb/4gAzALf/4gAzALj/4gAzALr/4gAzAMT/4gAzAMz/CAAzAM//CAA0AAX/0gA0AAn/1gA0AAr/0gA0AAz/2AA0AA3/0gA0AA//yAA0ABH/yAA0ABL/1gA0ACT/1gA0ADf/ngA0ADn/zAA0ADv/4gA0ADz/sAA0AD3/ugA0AD//zAA0AED/2AA0AGD/2AA0AGz/0gA0AHL/0gA0AHz/0gA0AIL/1gA0AIP/1gA0AIT/1gA0AIX/1gA0AIb/1gA0AIf/1gA0AIj/1gA0AJ//sAA0AMr/0gA0AMv/0gA0AMz/yAA0AM3/0gA0AM7/0gA0AM//yAA1ACP/0gA1ACb/0gA1ACr/0gA1ADL/0gA1ADT/0gA1ADf/zAA1ADj/1gA1AIn/0gA1AJT/0gA1AJX/0gA1AJb/0gA1AJf/0gA1AJj/0gA1AJr/0gA1AJv/1gA1AJz/1gA1AJ3/1gA1AJ7/1gA1AMP/0gA3AAn/fAA3AA//TAA3ABD/TAA3ABH/TAA3ABL/fAA3AB3/YAA3AB7/YAA3ACP/ngA3ACT/fAA3ACb/ngA3ACr/ngA3AC3/OAA3ADL/ngA3ADT/ngA3AET/BgA3AEb/LgA3AEf/LgA3AEj/LgA3AEr/RAA3AFD/YAA3AFH/YAA3AFL/LgA3AFP/YAA3AFT/LgA3AFX/YAA3AFb/XgA3AFj/YAA3AFn/TAA3AFr/dAA3AFv/cAA3AFz/TAA3AF3/iAA3AG3/TAA3AG//TAA3AHf/YAA3AHn/TAA3AH3/TAA3AIL/fAA3AIP/fAA3AIT/fAA3AIX/fAA3AIb/fAA3AIf/fAA3AIj/fAA3AIn/ngA3AJT/ngA3AJX/ngA3AJb/ngA3AJf/ngA3AJj/ngA3AJr/ngA3AKL/BgA3AKP/BgA3AKT/BgA3AKX/BgA3AKb/BgA3AKf/BgA3AKj/BgA3AKn/LgA3AKr/LgA3AKv/LgA3AKz/LgA3AK3/LgA3ALL/LgA3ALP/YAA3ALT/LgA3ALX/LgA3ALb/LgA3ALf/LgA3ALj/LgA3ALr/LgA3ALv/YAA3ALz/YAA3AL3/YAA3AL7/YAA3AMP/ngA3AMT/LgA3AMj/TAA3AMn/TAA3AMz/TAA3AM//TAA3AND/TAA3ANH/TAA3ANL/TAA4AAn/yAA4AA//zgA4ABH/zgA4ABL/yAA4ACT/yAA4AIL/yAA4AIP/yAA4AIT/yAA4AIX/yAA4AIb/yAA4AIf/yAA4AIj/yAA4AMz/zgA4AM//zgA5AAUAMAA5AAn/eAA5AAoAMAA5AA0AMAA5AA//QAA5ABD/kAA5ABH/QAA5ABL/eAA5AB3/qAA5AB7/qAA5ACIAMAA5ACP/zAA5ACT/eAA5ACb/zAA5ACr/zAA5AC3/aAA5ADL/zAA5ADT/zAA5AET/jAA5AEb/jAA5AEf/jAA5AEj/jAA5AEn/4gA5AEr/eAA5AFD/qAA5AFH/qAA5AFL/jAA5AFP/qAA5AFT/jAA5AFX/qAA5AFb/lgA5AFf/1gA5AFj/qAA5AFn/0AA5AFv/zAA5AFz/0AA5AF3/rgA5AGwAMAA5AG3/kAA5AG//kAA5AHIAMAA5AHQAOgA5AHUAOgA5AHf/qAA5AHn/kAA5AHsAOgA5AHwAMAA5AH3/kAA5AIL/eAA5AIP/eAA5AIT/eAA5AIX/eAA5AIb/eAA5AIf/eAA5AIj/eAA5AIn/zAA5AJT/zAA5AJX/zAA5AJb/zAA5AJf/zAA5AJj/zAA5AJr/zAA5AKL/jAA5AKP/jAA5AKT/jAA5AKX/jAA5AKb/jAA5AKf/jAA5AKj/jAA5AKn/jAA5AKr/jAA5AKv/jAA5AKz/jAA5AK3/jAA5ALL/jAA5ALP/qAA5ALT/jAA5ALX/jAA5ALb/jAA5ALf/jAA5ALj/jAA5ALr/jAA5ALv/qAA5ALz/qAA5AL3/qAA5AL7/qAA5AMP/zAA5AMT/jAA5AMj/kAA5AMn/kAA5AMoAMAA5AMsAMAA5AMz/QAA5AM0AMAA5AM4AMAA5AM//QAA5AND/kAA5ANH/kAA5ANL/kAA6AAUAMAA6AAn/ogA6AAoAMAA6AA0AMAA6AA//hgA6ABD/4AA6ABH/hgA6ABL/ogA6ACIAIgA6ACT/ogA6AC3/mgA6AET/qAA6AEb/4AA6AEf/4AA6AEj/4AA6AEr/ngA6AFL/4AA6AFT/4AA6AFb/0gA6AGwAMAA6AG3/4AA6AG//4AA6AHIAMAA6AHQAMAA6AHUAMAA6AHn/4AA6AHsAMAA6AHwAMAA6AH3/4AA6AIL/ogA6AIP/ogA6AIT/ogA6AIX/ogA6AIb/ogA6AIf/ogA6AIj/ogA6AKL/qAA6AKP/qAA6AKT/qAA6AKX/qAA6AKb/qAA6AKf/qAA6AKj/qAA6AKn/4AA6AKr/4AA6AKv/4AA6AKz/4AA6AK3/4AA6ALL/4AA6ALT/4AA6ALX/4AA6ALb/4AA6ALf/4AA6ALj/4AA6ALr/4AA6AMT/4AA6AMj/4AA6AMn/4AA6AMoAMAA6AMsAMAA6AMz/hgA6AM0AMAA6AM4AMAA6AM//hgA6AND/4AA6ANH/4AA6ANL/4AA7ABD/wgA7ACP/4gA7ACb/4gA7ACr/4gA7ADL/4gA7ADT/4gA7AEb/3AA7AEf/3AA7AEj/3AA7AEn/zAA7AFL/3AA7AFT/3AA7AFf/rgA7AFn/vgA7AFr/yAA7AFz/vgA7AG3/wgA7AG//wgA7AHn/wgA7AH3/wgA7AIn/4gA7AJT/4gA7AJX/4gA7AJb/4gA7AJf/4gA7AJj/4gA7AJr/4gA7AKn/3AA7AKr/3AA7AKv/3AA7AKz/3AA7AK3/3AA7ALL/3AA7ALT/3AA7ALX/3AA7ALb/3AA7ALf/3AA7ALj/3AA7ALr/3AA7AMP/4gA7AMT/3AA7AMj/wgA7AMn/wgA7AND/wgA7ANH/wgA7ANL/wgA8AAUAHgA8AAn/XAA8AAoAHgA8AA0AHgA8AA//aAA8ABD/YAA8ABH/aAA8ABL/XAA8AB3/hgA8AB7/hgA8ACIAIgA8ACP/sAA8ACT/XAA8ACb/sAA8ACr/sAA8AC3/OAA8ADL/sAA8ADT/sAA8AET/gAA8AEb/YAA8AEf/YAA8AEj/YAA8AEr/VAA8AFD/hgA8AFH/hgA8AFL/YAA8AFP/hgA8AFT/YAA8AFX/hgA8AFb/gAA8AFj/hgA8AFn/nAA8AFr/pAA8AFv/fAA8AFz/nAA8AGwAHgA8AG3/YAA8AG//YAA8AHIAHgA8AHQAMgA8AHUAMgA8AHf/hgA8AHn/YAA8AHsAMgA8AHwAHgA8AH3/YAA8AIL/XAA8AIP/XAA8AIT/XAA8AIX/XAA8AIb/XAA8AIf/XAA8AIj/XAA8AIn/sAA8AJT/sAA8AJX/sAA8AJb/sAA8AJf/sAA8AJj/sAA8AJr/sAA8AKL/gAA8AKP/gAA8AKT/gAA8AKX/gAA8AKb/gAA8AKf/gAA8AKj/gAA8AKn/YAA8AKr/YAA8AKv/YAA8AKz/YAA8AK3/YAA8ALL/YAA8ALP/hgA8ALT/YAA8ALX/YAA8ALb/YAA8ALf/YAA8ALj/YAA8ALr/YAA8ALv/hgA8ALz/hgA8AL3/hgA8AL7/hgA8AMP/sAA8AMT/YAA8AMj/YAA8AMn/YAA8AMoAHgA8AMsAHgA8AMz/aAA8AM0AHgA8AM4AHgA8AM//aAA8AND/YAA8ANH/YAA8ANL/YAA9ABD/ugA9ACIAIgA9ACP/xgA9ACb/xgA9ACr/xgA9ADL/xgA9ADT/xgA9AEb/2gA9AEf/2gA9AEj/2gA9AFL/2gA9AFT/2gA9AFb/5AA9AFn/2AA9AFz/2AA9AG3/ugA9AG//ugA9AHn/ugA9AH3/ugA9AIn/xgA9AJT/xgA9AJX/xgA9AJb/xgA9AJf/xgA9AJj/xgA9AJr/xgA9AKn/2gA9AKr/2gA9AKv/2gA9AKz/2gA9AK3/2gA9ALL/2gA9ALT/2gA9ALX/2gA9ALb/2gA9ALf/2gA9ALj/2gA9ALr/2gA9AMP/xgA9AMT/2gA9AMj/ugA9AMn/ugA9AND/ugA9ANH/ugA9ANL/ugA+ACP/2AA+ACb/2AA+ACr/2AA+ADL/2AA+ADT/2AA+AEb/4AA+AEf/4AA+AEj/4AA+AFL/4AA+AFT/4AA+AIn/2AA+AJT/2AA+AJX/2AA+AJb/2AA+AJf/2AA+AJj/2AA+AJr/2AA+AKn/4AA+AKr/4AA+AKv/4AA+AKz/4AA+AK3/4AA+ALL/4AA+ALT/4AA+ALX/4AA+ALb/4AA+ALf/4AA+ALj/4AA+ALr/4AA+AMP/2AA+AMT/4AA/AAX/SgA/AAr/SgA/AA3/SgA/ABD/zAA/ACL/yAA/ACP/1gA/ACb/1gA/ACr/1gA/AC0AMgA/ADL/1gA/ADT/1gA/ADf/fAA/ADj/yAA/ADn/eAA/ADr/rAA/ADz/XAA/AD//eAA/AFn/rgA/AFz/rgA/AGz/SgA/AG3/zAA/AG//zAA/AHL/SgA/AHT/SAA/AHX/SAA/AHn/zAA/AHv/SAA/AHz/SgA/AH3/zAA/AIn/1gA/AJT/1gA/AJX/1gA/AJb/1gA/AJf/1gA/AJj/1gA/AJr/1gA/AJv/yAA/AJz/yAA/AJ3/yAA/AJ7/yAA/AJ//XAA/AMP/1gA/AMj/zAA/AMn/zAA/AMr/SgA/AMv/SgA/AM3/SgA/AM7/SgA/AND/zAA/ANH/zAA/ANL/zABEAAX/uABEAAr/uABEAA3/uABEAFn/4ABEAFr/8ABEAFz/4ABEAGz/uABEAHL/uABEAHT/uABEAHX/uABEAHv/uABEAHz/uABEAMr/uABEAMv/uABEAM3/uABEAM7/uABFAAX/pABFAAr/pABFAAz/4ABFAA3/pABFADn/jABFADr/4ABFAD//jABFAED/4ABFAFn/5gBFAFv/xABFAFz/5gBFAGD/4ABFAGz/pABFAHL/pABFAHz/pABFAMr/pABFAMv/pABFAM3/pABFAM7/pABIAAX/pABIAAr/pABIAAz/4ABIAA3/pABIADn/jABIADr/4ABIAD//jABIAED/4ABIAFn/5gBIAFv/xABIAFz/5gBIAGD/4ABIAGz/pABIAHL/pABIAHz/pABIAMr/pABIAMv/pABIAM3/pABIAM7/pABJAAUARABJAAoARABJAA0ARABJAA//fgBJABH/fgBJAGwARABJAHIARABJAHQAZABJAHUAZABJAHsAZABJAHwARABJAMoARABJAMsARABJAMz/fgBJAM0ARABJAM4ARABJAM//fgBLAAX/uABLAAr/uABLAA3/uABLAFn/4ABLAFr/8ABLAFz/4ABLAGz/uABLAHL/uABLAHT/uABLAHX/uABLAHv/uABLAHz/uABLAMr/uABLAMv/uABLAM3/uABLAM7/uABOAEb/xABOAEf/xABOAEj/xABOAFL/xABOAFT/xABOAKn/xABOAKr/xABOAKv/xABOAKz/xABOAK3/xABOALL/xABOALT/xABOALX/xABOALb/xABOALf/xABOALj/xABOALr/xABOAMT/xABQAAX/uABQAAr/uABQAA3/uABQAFn/4ABQAFr/8ABQAFz/4ABQAGz/uABQAHL/uABQAHT/uABQAHX/uABQAHv/uABQAHz/uABQAMr/uABQAMv/uABQAM3/uABQAM7/uABRAAX/uABRAAr/uABRAA3/uABRAFn/4ABRAFr/8ABRAFz/4ABRAGz/uABRAHL/uABRAHT/uABRAHX/uABRAHv/uABRAHz/uABRAMr/uABRAMv/uABRAM3/uABRAM7/uABSAAX/pABSAAr/pABSAAz/4ABSAA3/pABSADn/jABSADr/4ABSAD//jABSAED/4ABSAFn/5gBSAFv/xABSAFz/5gBSAGD/4ABSAGz/pABSAHL/pABSAHz/pABSAMr/pABSAMv/pABSAM3/pABSAM7/pABTAAX/pABTAAr/pABTAAz/4ABTAA3/pABTADn/jABTADr/4ABTAD//jABTAED/4ABTAFn/5gBTAFv/xABTAFz/5gBTAGD/4ABTAGz/pABTAHL/pABTAHz/pABTAMr/pABTAMv/pABTAM3/pABTAM7/pABVAA//fABVABH/fABVAET/2gBVAKL/2gBVAKP/2gBVAKT/2gBVAKX/2gBVAKb/2gBVAKf/2gBVAKj/2gBVAMz/fABVAM//fABZAAn/rgBZAA//fABZABH/fABZABL/rgBZACT/rgBZAEb/5gBZAEf/5gBZAEj/5gBZAFL/5gBZAFT/5gBZAIL/rgBZAIP/rgBZAIT/rgBZAIX/rgBZAIb/rgBZAIf/rgBZAIj/rgBZAKn/5gBZAKr/5gBZAKv/5gBZAKz/5gBZAK3/5gBZALL/5gBZALT/5gBZALX/5gBZALb/5gBZALf/5gBZALj/5gBZALr/5gBZAMT/5gBZAMz/fABZAM//fABaAA//wgBaABH/wgBaAMz/wgBaAM//wgBbAEb/xABbAEf/xABbAEj/xABbAFL/xABbAFT/xABbAKn/xABbAKr/xABbAKv/xABbAKz/xABbAK3/xABbALL/xABbALT/xABbALX/xABbALb/xABbALf/xABbALj/xABbALr/xABbAMT/xABcAAn/rgBcAA//fABcABH/fABcABL/rgBcACT/rgBcAEb/5gBcAEf/5gBcAEj/5gBcAFL/5gBcAFT/5gBcAIL/rgBcAIP/rgBcAIT/rgBcAIX/rgBcAIb/rgBcAIf/rgBcAIj/rgBcAKn/5gBcAKr/5gBcAKv/5gBcAKz/5gBcAK3/5gBcALL/5gBcALT/5gBcALX/5gBcALb/5gBcALf/5gBcALj/5gBcALr/5gBcAMT/5gBcAMz/fABcAM//fABeACP/2ABeACb/2ABeACr/2ABeADL/2ABeADT/2ABeAEb/4ABeAEf/4ABeAEj/4ABeAFL/4ABeAFT/4ABeAIn/2ABeAJT/2ABeAJX/2ABeAJb/2ABeAJf/2ABeAJj/2ABeAJr/2ABeAKn/4ABeAKr/4ABeAKv/4ABeAKz/4ABeAK3/4ABeALL/4ABeALT/4ABeALX/4ABeALb/4ABeALf/4ABeALj/4ABeALr/4ABeAMP/2ABeAMT/4ABsAAn/SgBsAA//HABsABD/TgBsABH/HABsABL/SgBsACP/0gBsACT/SgBsACb/0gBsACr/0gBsADL/0gBsADT/0gBsADkAMABsADoAMABsADwAHgBsAD8AMABsAET/wABsAEb/pABsAEf/pABsAEj/pABsAFL/pABsAFT/pABsAG3/TgBsAG//TgBsAHn/TgBsAH3/TgBsAIL/SgBsAIP/SgBsAIT/SgBsAIX/SgBsAIb/SgBsAIf/SgBsAIj/SgBsAIn/0gBsAJT/0gBsAJX/0gBsAJb/0gBsAJf/0gBsAJj/0gBsAJr/0gBsAJ8AHgBsAKL/wABsAKP/wABsAKT/wABsAKX/wABsAKb/wABsAKf/wABsAKj/wABsAKn/pABsAKr/pABsAKv/pABsAKz/pABsAK3/pABsALL/pABsALT/pABsALX/pABsALb/pABsALf/pABsALj/pABsALr/pABsAMP/0gBsAMT/pABsAMj/TgBsAMn/TgBsAMz/HABsAM//HABsAND/TgBsANH/TgBsANL/TgBtAAX/TgBtAAn/zABtAAr/TgBtAA3/TgBtAA//eABtABH/eABtABL/zABtACT/zABtADf/TABtADn/kABtADr/4ABtADv/wgBtADz/YABtAD3/0gBtAD//kABtAGz/TgBtAHL/TgBtAHz/TgBtAIL/zABtAIP/zABtAIT/zABtAIX/zABtAIb/zABtAIf/zABtAIj/zABtAJ//YABtAMr/TgBtAMv/TgBtAMz/eABtAM3/TgBtAM7/TgBtAM//eABvAAX/TgBvAAn/zABvAAr/TgBvAA3/TgBvAA//eABvABH/eABvABL/zABvACT/zABvADf/TABvADn/kABvADr/4ABvADv/wgBvADz/YABvAD3/0gBvAD//kABvAGz/TgBvAHL/TgBvAHz/TgBvAIL/zABvAIP/zABvAIT/zABvAIX/zABvAIb/zABvAIf/zABvAIj/zABvAJ//YABvAMr/TgBvAMv/TgBvAMz/eABvAM3/TgBvAM7/TgBvAM//eABwAAX/0gBwAAn/1gBwAAr/0gBwAAz/2ABwAA3/0gBwAA//yABwABH/yABwABL/1gBwACT/1gBwADf/ngBwADn/zABwADv/4gBwADz/sABwAD3/ugBwAD//zABwAED/2ABwAGD/2ABwAGz/0gBwAHL/0gBwAHz/0gBwAIL/1gBwAIP/1gBwAIT/1gBwAIX/1gBwAIb/1gBwAIf/1gBwAIj/1gBwAJ//sABwAMr/0gBwAMv/0gBwAMz/yABwAM3/0gBwAM7/0gBwAM//yAByAAn/SgByAA//HAByABD/TgByABH/HAByABL/SgByACP/0gByACT/SgByACb/0gByACr/0gByADL/0gByADT/0gByADkAMAByADoAMAByADwAHgByAD8AMAByAET/wAByAEb/pAByAEf/pAByAEj/pAByAFL/pAByAFT/pAByAG3/TgByAG//TgByAHn/TgByAH3/TgByAIL/SgByAIP/SgByAIT/SgByAIX/SgByAIb/SgByAIf/SgByAIj/SgByAIn/0gByAJT/0gByAJX/0gByAJb/0gByAJf/0gByAJj/0gByAJr/0gByAJ8AHgByAKL/wAByAKP/wAByAKT/wAByAKX/wAByAKb/wAByAKf/wAByAKj/wAByAKn/pAByAKr/pAByAKv/pAByAKz/pAByAK3/pAByALL/pAByALT/pAByALX/pAByALb/pAByALf/pAByALj/pAByALr/pAByAMP/0gByAMT/pAByAMj/TgByAMn/TgByAMz/HAByAM//HAByAND/TgByANH/TgByANL/TgB0AAn/SAB0ABL/SAB0ACT/SAB0ADkAOgB0ADoAOgB0ADwAKAB0AD8AOgB0AIL/SAB0AIP/SAB0AIT/SAB0AIX/SAB0AIb/SAB0AIf/SAB0AIj/SAB0AJ8AKAB1AAn/SAB1ABL/SAB1ACT/SAB1ADkAOgB1ADoAOgB1ADwAKAB1AD8AOgB1AIL/SAB1AIP/SAB1AIT/SAB1AIX/SAB1AIb/SAB1AIf/SAB1AIj/SAB1AJ8AKAB5AAX/TgB5AAn/zAB5AAr/TgB5AA3/TgB5AA//eAB5ABH/eAB5ABL/zAB5ACT/zAB5ADf/TAB5ADn/kAB5ADr/4AB5ADv/wgB5ADz/YAB5AD3/0gB5AD//kAB5AGz/TgB5AHL/TgB5AHz/TgB5AIL/zAB5AIP/zAB5AIT/zAB5AIX/zAB5AIb/zAB5AIf/zAB5AIj/zAB5AJ//YAB5AMr/TgB5AMv/TgB5AMz/eAB5AM3/TgB5AM7/TgB5AM//eAB7AAn/SAB7ABL/SAB7ACT/SAB7ADkAOgB7ADoAOgB7ADwAKAB7AD8AOgB7AIL/SAB7AIP/SAB7AIT/SAB7AIX/SAB7AIb/SAB7AIf/SAB7AIj/SAB7AJ8AKAB8AAn/SgB8AA//HAB8ABD/TgB8ABH/HAB8ABL/SgB8ACP/0gB8ACT/SgB8ACb/0gB8ACr/0gB8ADL/0gB8ADT/0gB8ADkAMAB8ADoAMAB8ADwAHgB8AD8AMAB8AET/wAB8AEb/pAB8AEf/pAB8AEj/pAB8AFL/pAB8AFT/pAB8AG3/TgB8AG//TgB8AHn/TgB8AH3/TgB8AIL/SgB8AIP/SgB8AIT/SgB8AIX/SgB8AIb/SgB8AIf/SgB8AIj/SgB8AIn/0gB8AJT/0gB8AJX/0gB8AJb/0gB8AJf/0gB8AJj/0gB8AJr/0gB8AJ8AHgB8AKL/wAB8AKP/wAB8AKT/wAB8AKX/wAB8AKb/wAB8AKf/wAB8AKj/wAB8AKn/pAB8AKr/pAB8AKv/pAB8AKz/pAB8AK3/pAB8ALL/pAB8ALT/pAB8ALX/pAB8ALb/pAB8ALf/pAB8ALj/pAB8ALr/pAB8AMP/0gB8AMT/pAB8AMj/TgB8AMn/TgB8AMz/HAB8AM//HAB8AND/TgB8ANH/TgB8ANL/TgB9AAX/TgB9AAn/zAB9AAr/TgB9AA3/TgB9AA//eAB9ABH/eAB9ABL/zAB9ACT/zAB9ADf/TAB9ADn/kAB9ADr/4AB9ADv/wgB9ADz/YAB9AD3/0gB9AD//kAB9AGz/TgB9AHL/TgB9AHz/TgB9AIL/zAB9AIP/zAB9AIT/zAB9AIX/zAB9AIb/zAB9AIf/zAB9AIj/zAB9AJ//YAB9AMr/TgB9AMv/TgB9AMz/eAB9AM3/TgB9AM7/TgB9AM//eACCAAX/SgCCAAr/SgCCAA3/SgCCABD/zACCACL/yACCACP/1gCCACb/1gCCACr/1gCCAC0AMgCCADL/1gCCADT/1gCCADf/fACCADj/yACCADn/eACCADr/rACCADz/XACCAD//eACCAFn/rgCCAFz/rgCCAGz/SgCCAG3/zACCAG//zACCAHL/SgCCAHT/SACCAHX/SACCAHn/zACCAHv/SACCAHz/SgCCAH3/zACCAIn/1gCCAJT/1gCCAJX/1gCCAJb/1gCCAJf/1gCCAJj/1gCCAJr/1gCCAJv/yACCAJz/yACCAJ3/yACCAJ7/yACCAJ//XACCAMP/1gCCAMj/zACCAMn/zACCAMr/SgCCAMv/SgCCAM3/SgCCAM7/SgCCAND/zACCANH/zACCANL/zACDAAX/SgCDAAr/SgCDAA3/SgCDABD/zACDACL/yACDACP/1gCDACb/1gCDACr/1gCDAC0AMgCDADL/1gCDADT/1gCDADf/fACDADj/yACDADn/eACDADr/rACDADz/XACDAD//eACDAFn/rgCDAFz/rgCDAGz/SgCDAG3/zACDAG//zACDAHL/SgCDAHT/SACDAHX/SACDAHn/zACDAHv/SACDAHz/SgCDAH3/zACDAIn/1gCDAJT/1gCDAJX/1gCDAJb/1gCDAJf/1gCDAJj/1gCDAJr/1gCDAJv/yACDAJz/yACDAJ3/yACDAJ7/yACDAJ//XACDAMP/1gCDAMj/zACDAMn/zACDAMr/SgCDAMv/SgCDAM3/SgCDAM7/SgCDAND/zACDANH/zACDANL/zACEAAX/SgCEAAr/SgCEAA3/SgCEABD/zACEACL/yACEACP/1gCEACb/1gCEACr/1gCEAC0AMgCEADL/1gCEADT/1gCEADf/fACEADj/yACEADn/eACEADr/rACEADz/XACEAD//eACEAFn/rgCEAFz/rgCEAGz/SgCEAG3/zACEAG//zACEAHL/SgCEAHT/SACEAHX/SACEAHn/zACEAHv/SACEAHz/SgCEAH3/zACEAIn/1gCEAJT/1gCEAJX/1gCEAJb/1gCEAJf/1gCEAJj/1gCEAJr/1gCEAJv/yACEAJz/yACEAJ3/yACEAJ7/yACEAJ//XACEAMP/1gCEAMj/zACEAMn/zACEAMr/SgCEAMv/SgCEAM3/SgCEAM7/SgCEAND/zACEANH/zACEANL/zACFAAX/SgCFAAr/SgCFAA3/SgCFABD/zACFACL/yACFACP/1gCFACb/1gCFACr/1gCFAC0AMgCFADL/1gCFADT/1gCFADf/fACFADj/yACFADn/eACFADr/rACFADz/XACFAD//eACFAFn/rgCFAFz/rgCFAGz/SgCFAG3/zACFAG//zACFAHL/SgCFAHT/SACFAHX/SACFAHn/zACFAHv/SACFAHz/SgCFAH3/zACFAIn/1gCFAJT/1gCFAJX/1gCFAJb/1gCFAJf/1gCFAJj/1gCFAJr/1gCFAJv/yACFAJz/yACFAJ3/yACFAJ7/yACFAJ//XACFAMP/1gCFAMj/zACFAMn/zACFAMr/SgCFAMv/SgCFAM3/SgCFAM7/SgCFAND/zACFANH/zACFANL/zACGAAX/SgCGAAr/SgCGAA3/SgCGABD/zACGACL/yACGACP/1gCGACb/1gCGACr/1gCGAC0AMgCGADL/1gCGADT/1gCGADf/fACGADj/yACGADn/eACGADr/rACGADz/XACGAD//eACGAFn/rgCGAFz/rgCGAGz/SgCGAG3/zACGAG//zACGAHL/SgCGAHT/SACGAHX/SACGAHn/zACGAHv/SACGAHz/SgCGAH3/zACGAIn/1gCGAJT/1gCGAJX/1gCGAJb/1gCGAJf/1gCGAJj/1gCGAJr/1gCGAJv/yACGAJz/yACGAJ3/yACGAJ7/yACGAJ//XACGAMP/1gCGAMj/zACGAMn/zACGAMr/SgCGAMv/SgCGAM3/SgCGAM7/SgCGAND/zACGANH/zACGANL/zACHAAX/SgCHAAr/SgCHAA3/SgCHABD/zACHACL/yACHACP/1gCHACb/1gCHACr/1gCHAC0AMgCHADL/1gCHADT/1gCHADf/fACHADj/yACHADn/eACHADr/rACHADz/XACHAD//eACHAFn/rgCHAFz/rgCHAGz/SgCHAG3/zACHAG//zACHAHL/SgCHAHT/SACHAHX/SACHAHn/zACHAHv/SACHAHz/SgCHAH3/zACHAIn/1gCHAJT/1gCHAJX/1gCHAJb/1gCHAJf/1gCHAJj/1gCHAJr/1gCHAJv/yACHAJz/yACHAJ3/yACHAJ7/yACHAJ//XACHAMP/1gCHAMj/zACHAMn/zACHAMr/SgCHAMv/SgCHAM3/SgCHAM7/SgCHAND/zACHANH/zACHANL/zACJABD/agCJAG3/agCJAG//agCJAHn/agCJAH3/agCJAMj/agCJAMn/agCJAND/agCJANH/agCJANL/agCSAAX/0gCSAAn/1gCSAAr/0gCSAAz/2ACSAA3/0gCSAA//yACSABH/yACSABL/1gCSACT/1gCSADf/ngCSADn/zACSADv/4gCSADz/sACSAD3/ugCSAD//zACSAED/2ACSAGD/2ACSAGz/0gCSAHL/0gCSAHz/0gCSAIL/1gCSAIP/1gCSAIT/1gCSAIX/1gCSAIb/1gCSAIf/1gCSAIj/1gCSAJ//sACSAMr/0gCSAMv/0gCSAMz/yACSAM3/0gCSAM7/0gCSAM//yACUAAX/0gCUAAn/1gCUAAr/0gCUAAz/2ACUAA3/0gCUAA//yACUABH/yACUABL/1gCUACT/1gCUADf/ngCUADn/zACUADv/4gCUADz/sACUAD3/ugCUAD//zACUAED/2ACUAGD/2ACUAGz/0gCUAHL/0gCUAHz/0gCUAIL/1gCUAIP/1gCUAIT/1gCUAIX/1gCUAIb/1gCUAIf/1gCUAIj/1gCUAJ//sACUAMr/0gCUAMv/0gCUAMz/yACUAM3/0gCUAM7/0gCUAM//yACVAAX/0gCVAAn/1gCVAAr/0gCVAAz/2ACVAA3/0gCVAA//yACVABH/yACVABL/1gCVACT/1gCVADf/ngCVADn/zACVADv/4gCVADz/sACVAD3/ugCVAD//zACVAED/2ACVAGD/2ACVAGz/0gCVAHL/0gCVAHz/0gCVAIL/1gCVAIP/1gCVAIT/1gCVAIX/1gCVAIb/1gCVAIf/1gCVAIj/1gCVAJ//sACVAMr/0gCVAMv/0gCVAMz/yACVAM3/0gCVAM7/0gCVAM//yACWAAX/0gCWAAn/1gCWAAr/0gCWAAz/2ACWAA3/0gCWAA//yACWABH/yACWABL/1gCWACT/1gCWADf/ngCWADn/zACWADv/4gCWADz/sACWAD3/ugCWAD//zACWAED/2ACWAGD/2ACWAGz/0gCWAHL/0gCWAHz/0gCWAIL/1gCWAIP/1gCWAIT/1gCWAIX/1gCWAIb/1gCWAIf/1gCWAIj/1gCWAJ//sACWAMr/0gCWAMv/0gCWAMz/yACWAM3/0gCWAM7/0gCWAM//yACXAAX/0gCXAAn/1gCXAAr/0gCXAAz/2ACXAA3/0gCXAA//yACXABH/yACXABL/1gCXACT/1gCXADf/ngCXADn/zACXADv/4gCXADz/sACXAD3/ugCXAD//zACXAED/2ACXAGD/2ACXAGz/0gCXAHL/0gCXAHz/0gCXAIL/1gCXAIP/1gCXAIT/1gCXAIX/1gCXAIb/1gCXAIf/1gCXAIj/1gCXAJ//sACXAMr/0gCXAMv/0gCXAMz/yACXAM3/0gCXAM7/0gCXAM//yACYAAX/0gCYAAn/1gCYAAr/0gCYAAz/2ACYAA3/0gCYAA//yACYABH/yACYABL/1gCYACT/1gCYADf/ngCYADn/zACYADv/4gCYADz/sACYAD3/ugCYAD//zACYAED/2ACYAGD/2ACYAGz/0gCYAHL/0gCYAHz/0gCYAIL/1gCYAIP/1gCYAIT/1gCYAIX/1gCYAIb/1gCYAIf/1gCYAIj/1gCYAJ//sACYAMr/0gCYAMv/0gCYAMz/yACYAM3/0gCYAM7/0gCYAM//yACbAAn/yACbAA//zgCbABH/zgCbABL/yACbACT/yACbAIL/yACbAIP/yACbAIT/yACbAIX/yACbAIb/yACbAIf/yACbAIj/yACbAMz/zgCbAM//zgCcAAn/yACcAA//zgCcABH/zgCcABL/yACcACT/yACcAIL/yACcAIP/yACcAIT/yACcAIX/yACcAIb/yACcAIf/yACcAIj/yACcAMz/zgCcAM//zgCdAAn/yACdAA//zgCdABH/zgCdABL/yACdACT/yACdAIL/yACdAIP/yACdAIT/yACdAIX/yACdAIb/yACdAIf/yACdAIj/yACdAMz/zgCdAM//zgCeAAn/yACeAA//zgCeABH/zgCeABL/yACeACT/yACeAIL/yACeAIP/yACeAIT/yACeAIX/yACeAIb/yACeAIf/yACeAIj/yACeAMz/zgCeAM//zgCfAAUAHgCfAAn/XACfAAoAHgCfAA0AHgCfAA//aACfABD/YACfABH/aACfABL/XACfAB3/hgCfAB7/hgCfACIAIgCfACP/sACfACT/XACfACb/sACfACr/sACfAC3/OACfADL/sACfADT/sACfAET/gACfAEb/YACfAEf/YACfAEj/YACfAEr/VACfAFD/hgCfAFH/hgCfAFL/YACfAFP/hgCfAFT/YACfAFX/hgCfAFb/gACfAFj/hgCfAFn/nACfAFr/pACfAFv/fACfAFz/nACfAGwAHgCfAG3/YACfAG//YACfAHIAHgCfAHQAMgCfAHUAMgCfAHf/hgCfAHn/YACfAHsAMgCfAHwAHgCfAH3/YACfAIL/XACfAIP/XACfAIT/XACfAIX/XACfAIb/XACfAIf/XACfAIj/XACfAIn/sACfAJT/sACfAJX/sACfAJb/sACfAJf/sACfAJj/sACfAJr/sACfAKL/gACfAKP/gACfAKT/gACfAKX/gACfAKb/gACfAKf/gACfAKj/gACfAKn/YACfAKr/YACfAKv/YACfAKz/YACfAK3/YACfALL/YACfALP/hgCfALT/YACfALX/YACfALb/YACfALf/YACfALj/YACfALr/YACfALv/hgCfALz/hgCfAL3/hgCfAL7/hgCfAMP/sACfAMT/YACfAMj/YACfAMn/YACfAMoAHgCfAMsAHgCfAMz/aACfAM0AHgCfAM4AHgCfAM//aACfAND/YACfANH/YACfANL/YACgAAX/0gCgAAn/1gCgAAr/0gCgAAz/2ACgAA3/0gCgAA//yACgABH/yACgABL/1gCgACT/1gCgADf/ngCgADn/zACgADv/4gCgADz/sACgAD3/ugCgAD//zACgAED/2ACgAGD/2ACgAGz/0gCgAHL/0gCgAHz/0gCgAIL/1gCgAIP/1gCgAIT/1gCgAIX/1gCgAIb/1gCgAIf/1gCgAIj/1gCgAJ//sACgAMr/0gCgAMv/0gCgAMz/yACgAM3/0gCgAM7/0gCgAM//yACiAAX/uACiAAr/uACiAA3/uACiAFn/4ACiAFr/8ACiAFz/4ACiAGz/uACiAHL/uACiAHT/uACiAHX/uACiAHv/uACiAHz/uACiAMr/uACiAMv/uACiAM3/uACiAM7/uACjAAX/uACjAAr/uACjAA3/uACjAFn/4ACjAFr/8ACjAFz/4ACjAGz/uACjAHL/uACjAHT/uACjAHX/uACjAHv/uACjAHz/uACjAMr/uACjAMv/uACjAM3/uACjAM7/uACkAAX/uACkAAr/uACkAA3/uACkAFn/4ACkAFr/8ACkAFz/4ACkAGz/uACkAHL/uACkAHT/uACkAHX/uACkAHv/uACkAHz/uACkAMr/uACkAMv/uACkAM3/uACkAM7/uAClAAX/uAClAAr/uAClAA3/uAClAFn/4AClAFr/8AClAFz/4AClAGz/uAClAHL/uAClAHT/uAClAHX/uAClAHv/uAClAHz/uAClAMr/uAClAMv/uAClAM3/uAClAM7/uACmAAX/uACmAAr/uACmAA3/uACmAFn/4ACmAFr/8ACmAFz/4ACmAGz/uACmAHL/uACmAHT/uACmAHX/uACmAHv/uACmAHz/uACmAMr/uACmAMv/uACmAM3/uACmAM7/uACnAAX/uACnAAr/uACnAA3/uACnAFn/4ACnAFr/8ACnAFz/4ACnAGz/uACnAHL/uACnAHT/uACnAHX/uACnAHv/uACnAHz/uACnAMr/uACnAMv/uACnAM3/uACnAM7/uACoAAX/pACoAAr/pACoAAz/4ACoAA3/pACoADn/jACoADr/4ACoAD//jACoAED/4ACoAFn/5gCoAFv/xACoAFz/5gCoAGD/4ACoAGz/pACoAHL/pACoAHz/pACoAMr/pACoAMv/pACoAM3/pACoAM7/pACqAAX/pACqAAr/pACqAAz/4ACqAA3/pACqADn/jACqADr/4ACqAD//jACqAED/4ACqAFn/5gCqAFv/xACqAFz/5gCqAGD/4ACqAGz/pACqAHL/pACqAHz/pACqAMr/pACqAMv/pACqAM3/pACqAM7/pACrAAX/pACrAAr/pACrAAz/4ACrAA3/pACrADn/jACrADr/4ACrAD//jACrAED/4ACrAFn/5gCrAFv/xACrAFz/5gCrAGD/4ACrAGz/pACrAHL/pACrAHz/pACrAMr/pACrAMv/pACrAM3/pACrAM7/pACsAAX/pACsAAr/pACsAAz/4ACsAA3/pACsADn/jACsADr/4ACsAD//jACsAED/4ACsAFn/5gCsAFv/xACsAFz/5gCsAGD/4ACsAGz/pACsAHL/pACsAHz/pACsAMr/pACsAMv/pACsAM3/pACsAM7/pACtAAX/pACtAAr/pACtAAz/4ACtAA3/pACtADn/jACtADr/4ACtAD//jACtAED/4ACtAFn/5gCtAFv/xACtAFz/5gCtAGD/4ACtAGz/pACtAHL/pACtAHz/pACtAMr/pACtAMv/pACtAM3/pACtAM7/pACzAAX/uACzAAr/uACzAA3/uACzAFn/4ACzAFr/8ACzAFz/4ACzAGz/uACzAHL/uACzAHT/uACzAHX/uACzAHv/uACzAHz/uACzAMr/uACzAMv/uACzAM3/uACzAM7/uAC0AAX/pAC0AAr/pAC0AAz/4AC0AA3/pAC0ADn/jAC0ADr/4AC0AD//jAC0AED/4AC0AFn/5gC0AFv/xAC0AFz/5gC0AGD/4AC0AGz/pAC0AHL/pAC0AHz/pAC0AMr/pAC0AMv/pAC0AM3/pAC0AM7/pAC1AAX/pAC1AAr/pAC1AAz/4AC1AA3/pAC1ADn/jAC1ADr/4AC1AD//jAC1AED/4AC1AFn/5gC1AFv/xAC1AFz/5gC1AGD/4AC1AGz/pAC1AHL/pAC1AHz/pAC1AMr/pAC1AMv/pAC1AM3/pAC1AM7/pAC2AAX/pAC2AAr/pAC2AAz/4AC2AA3/pAC2ADn/jAC2ADr/4AC2AD//jAC2AED/4AC2AFn/5gC2AFv/xAC2AFz/5gC2AGD/4AC2AGz/pAC2AHL/pAC2AHz/pAC2AMr/pAC2AMv/pAC2AM3/pAC2AM7/pAC3AAX/pAC3AAr/pAC3AAz/4AC3AA3/pAC3ADn/jAC3ADr/4AC3AD//jAC3AED/4AC3AFn/5gC3AFv/xAC3AFz/5gC3AGD/4AC3AGz/pAC3AHL/pAC3AHz/pAC3AMr/pAC3AMv/pAC3AM3/pAC3AM7/pAC4AAX/pAC4AAr/pAC4AAz/4AC4AA3/pAC4ADn/jAC4ADr/4AC4AD//jAC4AED/4AC4AFn/5gC4AFv/xAC4AFz/5gC4AGD/4AC4AGz/pAC4AHL/pAC4AHz/pAC4AMr/pAC4AMv/pAC4AM3/pAC4AM7/pAC6AAX/pAC6AAr/pAC6AAz/4AC6AA3/pAC6ADn/jAC6ADr/4AC6AD//jAC6AED/4AC6AFn/5gC6AFv/xAC6AFz/5gC6AGD/4AC6AGz/pAC6AHL/pAC6AHz/pAC6AMr/pAC6AMv/pAC6AM3/pAC6AM7/pADAAAX/pADAAAr/pADAAAz/4ADAAA3/pADAADn/jADAADr/4ADAAD//jADAAED/4ADAAFn/5gDAAFv/xADAAFz/5gDAAGD/4ADAAGz/pADAAHL/pADAAHz/pADAAMr/pADAAMv/pADAAM3/pADAAM7/pADEAAX/pADEAAr/pADEAAz/4ADEAA3/pADEADn/jADEADr/4ADEAD//jADEAED/4ADEAFn/5gDEAFv/xADEAFz/5gDEAGD/4ADEAGz/pADEAHL/pADEAHz/pADEAMr/pADEAMv/pADEAM3/pADEAM7/pADIAAX/TgDIAAn/zADIAAr/TgDIAA3/TgDIAA//eADIABH/eADIABL/zADIACT/zADIADf/TADIADn/kADIADr/4ADIADv/wgDIADz/YADIAD3/0gDIAD//kADIAGz/TgDIAHL/TgDIAHz/TgDIAIL/zADIAIP/zADIAIT/zADIAIX/zADIAIb/zADIAIf/zADIAIj/zADIAJ//YADIAMr/TgDIAMv/TgDIAMz/eADIAM3/TgDIAM7/TgDIAM//eADJAAX/TgDJAAn/zADJAAr/TgDJAA3/TgDJAA//eADJABH/eADJABL/zADJACT/zADJADf/TADJADn/kADJADr/4ADJADv/wgDJADz/YADJAD3/0gDJAD//kADJAGz/TgDJAHL/TgDJAHz/TgDJAIL/zADJAIP/zADJAIT/zADJAIX/zADJAIb/zADJAIf/zADJAIj/zADJAJ//YADJAMr/TgDJAMv/TgDJAMz/eADJAM3/TgDJAM7/TgDJAM//eADKAAn/SgDKAA//HADKABD/TgDKABH/HADKABL/SgDKACP/0gDKACT/SgDKACb/0gDKACr/0gDKADL/0gDKADT/0gDKADkAMADKADoAMADKADwAHgDKAD8AMADKAET/wADKAEb/pADKAEf/pADKAEj/pADKAFL/pADKAFT/pADKAG3/TgDKAG//TgDKAHn/TgDKAH3/TgDKAIL/SgDKAIP/SgDKAIT/SgDKAIX/SgDKAIb/SgDKAIf/SgDKAIj/SgDKAIn/0gDKAJT/0gDKAJX/0gDKAJb/0gDKAJf/0gDKAJj/0gDKAJr/0gDKAJ8AHgDKAKL/wADKAKP/wADKAKT/wADKAKX/wADKAKb/wADKAKf/wADKAKj/wADKAKn/pADKAKr/pADKAKv/pADKAKz/pADKAK3/pADKALL/pADKALT/pADKALX/pADKALb/pADKALf/pADKALj/pADKALr/pADKAMP/0gDKAMT/pADKAMj/TgDKAMn/TgDKAMz/HADKAM//HADKAND/TgDKANH/TgDKANL/TgDLAAn/SgDLAA//HADLABD/TgDLABH/HADLABL/SgDLACP/0gDLACT/SgDLACb/0gDLACr/0gDLADL/0gDLADT/0gDLADkAMADLADoAMADLADwAHgDLAD8AMADLAET/wADLAEb/pADLAEf/pADLAEj/pADLAFL/pADLAFT/pADLAG3/TgDLAG//TgDLAHn/TgDLAH3/TgDLAIL/SgDLAIP/SgDLAIT/SgDLAIX/SgDLAIb/SgDLAIf/SgDLAIj/SgDLAIn/0gDLAJT/0gDLAJX/0gDLAJb/0gDLAJf/0gDLAJj/0gDLAJr/0gDLAJ8AHgDLAKL/wADLAKP/wADLAKT/wADLAKX/wADLAKb/wADLAKf/wADLAKj/wADLAKn/pADLAKr/pADLAKv/pADLAKz/pADLAK3/pADLALL/pADLALT/pADLALX/pADLALb/pADLALf/pADLALj/pADLALr/pADLAMP/0gDLAMT/pADLAMj/TgDLAMn/TgDLAMz/HADLAM//HADLAND/TgDLANH/TgDLANL/TgDMAAX/HADMAAr/HADMAA3/HADMABD/eADMACP/yADMACb/yADMACr/yADMADL/yADMADT/yADMADf/TADMADn/TADMADr/hgDMADz/aADMAD//TADMAFn/fADMAFr/wgDMAFz/fADMAGz/HADMAG3/eADMAG//eADMAHL/HADMAHn/eADMAHz/HADMAH3/eADMAIn/yADMAJT/yADMAJX/yADMAJb/yADMAJf/yADMAJj/yADMAJr/yADMAJ//aADMAMP/yADMAMj/eADMAMn/eADMAMr/HADMAMv/HADMAM3/HADMAM7/HADMAND/eADMANH/eADMANL/eADNAAn/SgDNAA//HADNABD/TgDNABH/HADNABL/SgDNACP/0gDNACT/SgDNACb/0gDNACr/0gDNADL/0gDNADT/0gDNADkAMADNADoAMADNADwAHgDNAD8AMADNAET/wADNAEb/pADNAEf/pADNAEj/pADNAFL/pADNAFT/pADNAG3/TgDNAG//TgDNAHn/TgDNAH3/TgDNAIL/SgDNAIP/SgDNAIT/SgDNAIX/SgDNAIb/SgDNAIf/SgDNAIj/SgDNAIn/0gDNAJT/0gDNAJX/0gDNAJb/0gDNAJf/0gDNAJj/0gDNAJr/0gDNAJ8AHgDNAKL/wADNAKP/wADNAKT/wADNAKX/wADNAKb/wADNAKf/wADNAKj/wADNAKn/pADNAKr/pADNAKv/pADNAKz/pADNAK3/pADNALL/pADNALT/pADNALX/pADNALb/pADNALf/pADNALj/pADNALr/pADNAMP/0gDNAMT/pADNAMj/TgDNAMn/TgDNAMz/HADNAM//HADNAND/TgDNANH/TgDNANL/TgDOAAn/SgDOAA//HADOABD/TgDOABH/HADOABL/SgDOACP/0gDOACT/SgDOACb/0gDOACr/0gDOADL/0gDOADT/0gDOADkAMADOADoAMADOADwAHgDOAD8AMADOAET/wADOAEb/pADOAEf/pADOAEj/pADOAFL/pADOAFT/pADOAG3/TgDOAG//TgDOAHn/TgDOAH3/TgDOAIL/SgDOAIP/SgDOAIT/SgDOAIX/SgDOAIb/SgDOAIf/SgDOAIj/SgDOAIn/0gDOAJT/0gDOAJX/0gDOAJb/0gDOAJf/0gDOAJj/0gDOAJr/0gDOAJ8AHgDOAKL/wADOAKP/wADOAKT/wADOAKX/wADOAKb/wADOAKf/wADOAKj/wADOAKn/pADOAKr/pADOAKv/pADOAKz/pADOAK3/pADOALL/pADOALT/pADOALX/pADOALb/pADOALf/pADOALj/pADOALr/pADOAMP/0gDOAMT/pADOAMj/TgDOAMn/TgDOAMz/HADOAM//HADOAND/TgDOANH/TgDOANL/TgDPAAX/HADPAAr/HADPAA3/HADPABD/eADPACP/yADPACb/yADPACr/yADPADL/yADPADT/yADPADf/TADPADn/TADPADr/hgDPADz/aADPAD//TADPAFn/fADPAFr/wgDPAFz/fADPAGz/HADPAG3/eADPAG//eADPAHL/HADPAHn/eADPAHz/HADPAH3/eADPAIn/yADPAJT/yADPAJX/yADPAJb/yADPAJf/yADPAJj/yADPAJr/yADPAJ//aADPAMP/yADPAMj/eADPAMn/eADPAMr/HADPAMv/HADPAM3/HADPAM7/HADPAND/eADPANH/eADPANL/eADQAAX/TgDQAAn/zADQAAr/TgDQAA3/TgDQAA//eADQABH/eADQABL/zADQACT/zADQADf/TADQADn/kADQADr/4ADQADv/wgDQADz/YADQAD3/0gDQAD//kADQAGz/TgDQAHL/TgDQAHz/TgDQAIL/zADQAIP/zADQAIT/zADQAIX/zADQAIb/zADQAIf/zADQAIj/zADQAJ//YADQAMr/TgDQAMv/TgDQAMz/eADQAM3/TgDQAM7/TgDQAM//eADRAAX/TgDRAAn/zADRAAr/TgDRAA3/TgDRAA//eADRABH/eADRABL/zADRACT/zADRADf/TADRADn/kADRADr/4ADRADv/wgDRADz/YADRAD3/0gDRAD//kADRAGz/TgDRAHL/TgDRAHz/TgDRAIL/zADRAIP/zADRAIT/zADRAIX/zADRAIb/zADRAIf/zADRAIj/zADRAJ//YADRAMr/TgDRAMv/TgDRAMz/eADRAM3/TgDRAM7/TgDRAM//eADSAAX/TgDSAAn/zADSAAr/TgDSAA3/TgDSAA//eADSABH/eADSABL/zADSACT/zADSADf/TADSADn/kADSADr/4ADSADv/wgDSADz/YADSAD3/0gDSAD//kADSAGz/TgDSAHL/TgDSAHz/TgDSAIL/zADSAIP/zADSAIT/zADSAIX/zADSAIb/zADSAIf/zADSAIj/zADSAJ//YADSAMr/TgDSAMv/TgDSAMz/eADSAM3/TgDSAM7/TgDSAM//eAAAAAcAWgADAAEECQABAAgAAAADAAEECQACAA4ACAADAAEECQADAFQAFgADAAEECQAEABgAagADAAEECQAFAFAAggADAAEECQAGABgA0gADAAEECQAOADQA6gBMAGEAdABvAFIAZQBnAHUAbABhAHIAdAB5AFAAbwBsAGEAbgBkAEwAdQBrAGEAcwB6AEQAegBpAGUAZAB6AGkAYwA6ACAATABhAHQAbwAgAFIAZQBnAHUAbABhAHIAOgAgADIAMAAxADEATABhAHQAbwAgAFIAZQBnAHUAbABhAHIAVgBlAHIAcwBpAG8AbgAgADEALgAxADAANAA7ACAAVwBlAHMAdABlAHIAbgArAFAAbwBsAGkAcwBoACAAbwBwAGUAbgBzAG8AdQByAGMAZQBMAGEAdABvAC0AUgBlAGcAdQBsAGEAcgBoAHQAdABwADoALwAvAHMAYwByAGkAcAB0AHMALgBzAGkAbAAuAG8AcgBnAC8ATwBGAEwAAgAAAAAAAP90AHgAAAAAAAAAAAAAAAAAAAAAAAAAAADeAAABAgACAAMABAAFAAYABwAIAAkACgALAAwADQAOAA8AEAARABIAEwAUABUAFgAXABgAGQAaABsAHAAdAB4AHwAgACEAIgAjACQAJQAmACcAKAApACoAKwAsAC0ALgAvADAAMQAyADMANAA1ADYANwA4ADkAOgA7ADwAPQA+AD8AQABBAEIAQwBEAEUARgBHAEgASQBKAEsATABNAE4ATwBQAFEAUgBTAFQAVQBWAFcAWABZAFoAWwBcAF0AXgBfAGAAYQEDAKMAhACFAL0AlgDoAIYAjgCLAJ0AqQCkAQQAigDaAIMAkwDyAPMAjQCXAIgAwwDeAPEAngCqAPUA9AD2AKIArQDJAMcArgBiAGMAkABkAMsAZQDIAMoAzwDMAM0AzgDpAGYA0wDQANEArwBnAPAAkQDWANQA1QBoAOsA7QCJAGoAaQBrAG0AbABuAKAAbwBxAHAAcgBzAHUAdAB2AHcA6gB4AHoAeQB7AH0AfAC4AKEAfwB+AIAAgQDsAO4AugDXALAAsQDYAN0A2QCyALMAtgC3AMQAtAC1AMUAhwC+AL8AvAEFAO8AwADBAQYBBwEIAQkBCgELBE5VTEwHdW5pMDBBMAd1bmkwMEFEBEV1cm8KZ3JhdmUuY2FzZQ1kaWVyZXNpcy5jYXNlCmFjdXRlLmNhc2UPY2lyY3VtZmxleC5jYXNlCXJpbmcuY2FzZQp0aWxkZS5jYXNlAAAAAAEAAgASAAf//wAPAAEAAAAKADAARAACREZMVAAObGF0bgAaAAQAAAAA//8AAQAAAAQAAAAA//8AAQABAAJrZXJuAA5rZXJuAA4AAAABAAAAAQAEAAIAAAABAAgAAQDeAAQAAABqD7wPvAsuD7wQzhF4EM4FzA6iC+oMuA6iAbYM4ghoAnQOogOGDqIELAR6DOIFzAdaCGgNHAkiCy4L6g8sD24PbgnYDywKYg8sDywPbg9uCh4KrApQCmIKrAsuD7wReBF4DqIPvAusC6wReAusD7wReAvqC+oL6gvqC+oL6gy4DqIOog6iDqIOog6iDOIM4gziDOINHA6iDywPLA8sDywPLA8sD24Pbg9uD24Pbg8sD24Pbg9uD24Pbg9uD24PbhF4EXgPvA+8EM4PvA+8EM4ReBF4EXgAAQBqAAUACgALAA0ADwAQABEAEgAjACQAJgAnACkALQAuAC8AMgAzADQANQA3ADgAOQA6ADsAPAA9AD4APwBEAEUASABJAEsATgBQAFEAUgBTAFUAWQBaAFsAXABeAGwAbQBvAHAAcgB0AHUAeQB7AHwAfQCCAIMAhACFAIYAhwCJAJIAlACVAJYAlwCYAJsAnACdAJ4AnwCgAKIAowCkAKUApgCnAKgAqgCrAKwArQCzALQAtQC2ALcAuAC6AMAAxADIAMkAygDLAMwAzQDOAM8A0ADRANIALwAJ/3wAD/9MABH/TAAS/3wAHf/EAB7/xAAiAB4AJP98AC3/OgBG/7oAR/+6AEj/ugBQ/8QAUf/EAFL/ugBT/8QAVP+6AFX/xABY/8QAd//EAIL/fACD/3wAhP98AIX/fACG/3wAh/98AIj/fACp/7oAqv+6AKv/ugCs/7oArf+6ALL/ugCz/8QAtP+6ALX/ugC2/7oAt/+6ALj/ugC6/7oAu//EALz/xAC9/8QAvv/EAMT/ugDM/0wAz/9MAEQABf7eAAr+3gAN/t4ADwA2ABD/OgARADYAIv/OACP/sAAm/7AAKv+wADL/sAA0/7AAN/9UADn/SgA6/2gAPP8sAD//SgBG/9wAR//cAEj/3ABS/9wAVP/cAFn/lABa/7AAXP+UAGz+3gBt/zoAb/86AHL+3gB0/zYAdf82AHn/OgB7/zYAfP7eAH3/OgCJ/7AAlP+wAJX/sACW/7AAl/+wAJj/sACa/7AAn/8sAKn/3ACq/9wAq//cAKz/3ACt/9wAsv/cALT/3AC1/9wAtv/cALf/3AC4/9wAuv/cAMP/sADE/9wAyP86AMn/OgDK/t4Ay/7eAMwANgDN/t4Azv7eAM8ANgDQ/zoA0f86ANL/OgApAAn/dgAP/wgAEf8IABL/dgAk/3YALf9KAET/zgBG/+IAR//iAEj/4gBS/+IAVP/iAIL/dgCD/3YAhP92AIX/dgCG/3YAh/92AIj/dgCi/84Ao//OAKT/zgCl/84Apv/OAKf/zgCo/84Aqf/iAKr/4gCr/+IArP/iAK3/4gCy/+IAtP/iALX/4gC2/+IAt//iALj/4gC6/+IAxP/iAMz/CADP/wgAEwAj/9IAJv/SACr/0gAy/9IANP/SADf/zAA4/9YAif/SAJT/0gCV/9IAlv/SAJf/0gCY/9IAmv/SAJv/1gCc/9YAnf/WAJ7/1gDD/9IAVAAJ/3wAD/9MABD/TAAR/0wAEv98AB3/YAAe/2AAI/+eACT/fAAm/54AKv+eAC3/OAAy/54ANP+eAET/BgBG/y4AR/8uAEj/LgBK/0QAUP9gAFH/YABS/y4AU/9gAFT/LgBV/2AAVv9eAFj/YABZ/0wAWv90AFv/cABc/0wAXf+IAG3/TABv/0wAd/9gAHn/TAB9/0wAgv98AIP/fACE/3wAhf98AIb/fACH/3wAiP98AIn/ngCU/54Alf+eAJb/ngCX/54AmP+eAJr/ngCi/wYAo/8GAKT/BgCl/wYApv8GAKf/BgCo/wYAqf8uAKr/LgCr/y4ArP8uAK3/LgCy/y4As/9gALT/LgC1/y4Atv8uALf/LgC4/y4Auv8uALv/YAC8/2AAvf9gAL7/YADD/54AxP8uAMj/TADJ/0wAzP9MAM//TADQ/0wA0f9MANL/TABjAAUAMAAJ/3gACgAwAA0AMAAP/0AAEP+QABH/QAAS/3gAHf+oAB7/qAAiADAAI//MACT/eAAm/8wAKv/MAC3/aAAy/8wANP/MAET/jABG/4wAR/+MAEj/jABJ/+IASv94AFD/qABR/6gAUv+MAFP/qABU/4wAVf+oAFb/lgBX/9YAWP+oAFn/0ABb/8wAXP/QAF3/rgBsADAAbf+QAG//kAByADAAdAA6AHUAOgB3/6gAef+QAHsAOgB8ADAAff+QAIL/eACD/3gAhP94AIX/eACG/3gAh/94AIj/eACJ/8wAlP/MAJX/zACW/8wAl//MAJj/zACa/8wAov+MAKP/jACk/4wApf+MAKb/jACn/4wAqP+MAKn/jACq/4wAq/+MAKz/jACt/4wAsv+MALP/qAC0/4wAtf+MALb/jAC3/4wAuP+MALr/jAC7/6gAvP+oAL3/qAC+/6gAw//MAMT/jADI/5AAyf+QAMoAMADLADAAzP9AAM0AMADOADAAz/9AAND/kADR/5AA0v+QAEMABQAwAAn/ogAKADAADQAwAA//hgAQ/+AAEf+GABL/ogAiACIAJP+iAC3/mgBE/6gARv/gAEf/4ABI/+AASv+eAFL/4ABU/+AAVv/SAGwAMABt/+AAb//gAHIAMAB0ADAAdQAwAHn/4AB7ADAAfAAwAH3/4ACC/6IAg/+iAIT/ogCF/6IAhv+iAIf/ogCI/6IAov+oAKP/qACk/6gApf+oAKb/qACn/6gAqP+oAKn/4ACq/+AAq//gAKz/4ACt/+AAsv/gALT/4AC1/+AAtv/gALf/4AC4/+AAuv/gAMT/4ADI/+AAyf/gAMoAMADLADAAzP+GAM0AMADOADAAz/+GAND/4ADR/+AA0v/gAC4AEP/CACP/4gAm/+IAKv/iADL/4gA0/+IARv/cAEf/3ABI/9wASf/MAFL/3ABU/9wAV/+uAFn/vgBa/8gAXP++AG3/wgBv/8IAef/CAH3/wgCJ/+IAlP/iAJX/4gCW/+IAl//iAJj/4gCa/+IAqf/cAKr/3ACr/9wArP/cAK3/3ACy/9wAtP/cALX/3AC2/9wAt//cALj/3AC6/9wAw//iAMT/3ADI/8IAyf/CAND/wgDR/8IA0v/CAC0AEP+6ACIAIgAj/8YAJv/GACr/xgAy/8YANP/GAEb/2gBH/9oASP/aAFL/2gBU/9oAVv/kAFn/2ABc/9gAbf+6AG//ugB5/7oAff+6AIn/xgCU/8YAlf/GAJb/xgCX/8YAmP/GAJr/xgCp/9oAqv/aAKv/2gCs/9oArf/aALL/2gC0/9oAtf/aALb/2gC3/9oAuP/aALr/2gDD/8YAxP/aAMj/ugDJ/7oA0P+6ANH/ugDS/7oAEQAFAEQACgBEAA0ARAAP/34AEf9+AGwARAByAEQAdABkAHUAZAB7AGQAfABEAMoARADLAEQAzP9+AM0ARADOAEQAz/9+AAwAD/98ABH/fABE/9oAov/aAKP/2gCk/9oApf/aAKb/2gCn/9oAqP/aAMz/fADP/3wABAAP/8IAEf/CAMz/wgDP/8IAEgBG/8QAR//EAEj/xABS/8QAVP/EAKn/xACq/8QAq//EAKz/xACt/8QAsv/EALT/xAC1/8QAtv/EALf/xAC4/8QAuv/EAMT/xAAgAAn/rgAP/3wAEf98ABL/rgAk/64ARv/mAEf/5gBI/+YAUv/mAFT/5gCC/64Ag/+uAIT/rgCF/64Ahv+uAIf/rgCI/64Aqf/mAKr/5gCr/+YArP/mAK3/5gCy/+YAtP/mALX/5gC2/+YAt//mALj/5gC6/+YAxP/mAMz/fADP/3wAHwAj/9gAJv/YACr/2AAy/9gANP/YAEb/4ABH/+AASP/gAFL/4ABU/+AAif/YAJT/2ACV/9gAlv/YAJf/2ACY/9gAmv/YAKn/4ACq/+AAq//gAKz/4ACt/+AAsv/gALT/4AC1/+AAtv/gALf/4AC4/+AAuv/gAMP/2ADE/+AADwAJ/0gAEv9IACT/SAA5ADoAOgA6ADwAKAA/ADoAgv9IAIP/SACE/0gAhf9IAIb/SACH/0gAiP9IAJ8AKAAzAAX/SgAK/0oADf9KABD/zAAi/8gAI//WACb/1gAq/9YALQAyADL/1gA0/9YAN/98ADj/yAA5/3gAOv+sADz/XAA//3gAWf+uAFz/rgBs/0oAbf/MAG//zABy/0oAdP9IAHX/SAB5/8wAe/9IAHz/SgB9/8wAif/WAJT/1gCV/9YAlv/WAJf/1gCY/9YAmv/WAJv/yACc/8gAnf/IAJ7/yACf/1wAw//WAMj/zADJ/8wAyv9KAMv/SgDN/0oAzv9KAND/zADR/8wA0v/MAAoAEP9qAG3/agBv/2oAef9qAH3/agDI/2oAyf9qAND/agDR/2oA0v9qAA4ACf/IAA//zgAR/84AEv/IACT/yACC/8gAg//IAIT/yACF/8gAhv/IAIf/yACI/8gAzP/OAM//zgBhAAUAHgAJ/1wACgAeAA0AHgAP/2gAEP9gABH/aAAS/1wAHf+GAB7/hgAiACIAI/+wACT/XAAm/7AAKv+wAC3/OAAy/7AANP+wAET/gABG/2AAR/9gAEj/YABK/1QAUP+GAFH/hgBS/2AAU/+GAFT/YABV/4YAVv+AAFj/hgBZ/5wAWv+kAFv/fABc/5wAbAAeAG3/YABv/2AAcgAeAHQAMgB1ADIAd/+GAHn/YAB7ADIAfAAeAH3/YACC/1wAg/9cAIT/XACF/1wAhv9cAIf/XACI/1wAif+wAJT/sACV/7AAlv+wAJf/sACY/7AAmv+wAKL/gACj/4AApP+AAKX/gACm/4AAp/+AAKj/gACp/2AAqv9gAKv/YACs/2AArf9gALL/YACz/4YAtP9gALX/YAC2/2AAt/9gALj/YAC6/2AAu/+GALz/hgC9/4YAvv+GAMP/sADE/2AAyP9gAMn/YADKAB4AywAeAMz/aADNAB4AzgAeAM//aADQ/2AA0f9gANL/YAAiAAX/0gAJ/9YACv/SAAz/2AAN/9IAD//IABH/yAAS/9YAJP/WADf/ngA5/8wAO//iADz/sAA9/7oAP//MAED/2ABg/9gAbP/SAHL/0gB8/9IAgv/WAIP/1gCE/9YAhf/WAIb/1gCH/9YAiP/WAJ//sADK/9IAy//SAMz/yADN/9IAzv/SAM//yAAQAAX/uAAK/7gADf+4AFn/4ABa//AAXP/gAGz/uABy/7gAdP+4AHX/uAB7/7gAfP+4AMr/uADL/7gAzf+4AM7/uAATAAX/pAAK/6QADP/gAA3/pAA5/4wAOv/gAD//jABA/+AAWf/mAFv/xABc/+YAYP/gAGz/pABy/6QAfP+kAMr/pADL/6QAzf+kAM7/pABEAAn/SgAP/xwAEP9OABH/HAAS/0oAI//SACT/SgAm/9IAKv/SADL/0gA0/9IAOQAwADoAMAA8AB4APwAwAET/wABG/6QAR/+kAEj/pABS/6QAVP+kAG3/TgBv/04Aef9OAH3/TgCC/0oAg/9KAIT/SgCF/0oAhv9KAIf/SgCI/0oAif/SAJT/0gCV/9IAlv/SAJf/0gCY/9IAmv/SAJ8AHgCi/8AAo//AAKT/wACl/8AApv/AAKf/wACo/8AAqf+kAKr/pACr/6QArP+kAK3/pACy/6QAtP+kALX/pAC2/6QAt/+kALj/pAC6/6QAw//SAMT/pADI/04Ayf9OAMz/HADP/xwA0P9OANH/TgDS/04AKgAF/xwACv8cAA3/HAAQ/3gAI//IACb/yAAq/8gAMv/IADT/yAA3/0wAOf9MADr/hgA8/2gAP/9MAFn/fABa/8IAXP98AGz/HABt/3gAb/94AHL/HAB5/3gAfP8cAH3/eACJ/8gAlP/IAJX/yACW/8gAl//IAJj/yACa/8gAn/9oAMP/yADI/3gAyf94AMr/HADL/xwAzf8cAM7/HADQ/3gA0f94ANL/eAAgAAX/TgAJ/8wACv9OAA3/TgAP/3gAEf94ABL/zAAk/8wAN/9MADn/kAA6/+AAO//CADz/YAA9/9IAP/+QAGz/TgBy/04AfP9OAIL/zACD/8wAhP/MAIX/zACG/8wAh//MAIj/zACf/2AAyv9OAMv/TgDM/3gAzf9OAM7/TgDP/3gAAAABAAAACgAwAEQAAkRGTFQADmxhdG4AGgAEAAAAAP//AAEAAAAEAAAAAP//AAEAAQACbGlnYQAObGlnYQAOAAAAAQAAAAEABAAEAAAAAQAIAAEAGgABAAgAAgAGAAwA1gACAEwA1wACAE8AAQABAEk=) 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}
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font-family: 'Lato';
font-style: normal;
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format('truetype');
}
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font-family: 'Lato';
font-style: italic;
font-weight: 400;
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) 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e,i;this.previousFilter||t.clientX===this.lastMousePosition.x&&t.clientY===this.lastMousePosition.y||(this.lastMousePosition={x:t.clientX,y:t.clientY},e=V(t.target).closest(".ui-menu-item"),i=V(t.currentTarget),e[0]===i[0]&&(i.is(".ui-state-active")||(this._removeClass(i.siblings().children(".ui-state-active"),null,"ui-state-active"),this.focus(t,i))))},_destroy:function(){var t=this.element.find(".ui-menu-item").removeAttr("role aria-disabled").children(".ui-menu-item-wrapper").removeUniqueId().removeAttr("tabIndex role aria-haspopup");this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeAttr("role aria-labelledby aria-expanded aria-hidden aria-disabled tabIndex").removeUniqueId().show(),t.children().each(function(){var t=V(this);t.data("ui-menu-submenu-caret")&&t.remove()})},_keydown:function(t){var e,i,s,n=!0;switch(t.keyCode){case V.ui.keyCode.PAGE_UP:this.previousPage(t);break;case V.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case V.ui.keyCode.HOME:this._move("first","first",t);break;case V.ui.keyCode.END:this._move("last","last",t);break;case V.ui.keyCode.UP:this.previous(t);break;case V.ui.keyCode.DOWN:this.next(t);break;case V.ui.keyCode.LEFT:this.collapse(t);break;case V.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case V.ui.keyCode.ENTER:case V.ui.keyCode.SPACE:this._activate(t);break;case V.ui.keyCode.ESCAPE:this.collapse(t);break;default:e=this.previousFilter||"",s=n=!1,i=96<=t.keyCode&&t.keyCode<=105?(t.keyCode-96).toString():String.fromCharCode(t.keyCode),clearTimeout(this.filterTimer),i===e?s=!0:i=e+i,e=this._filterMenuItems(i),(e=s&&-1!==e.index(this.active.next())?this.active.nextAll(".ui-menu-item"):e).length||(i=String.fromCharCode(t.keyCode),e=this._filterMenuItems(i)),e.length?(this.focus(t,e),this.previousFilter=i,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}n&&t.preventDefault()},_activate:function(t){this.active&&!this.active.is(".ui-state-disabled")&&(this.active.children("[aria-haspopup='true']").length?this.expand(t):this.select(t))},refresh:function(){var t,e,s=this,n=this.options.icons.submenu,i=this.element.find(this.options.menus);this._toggleClass("ui-menu-icons",null,!!this.element.find(".ui-icon").length),e=i.filter(":not(.ui-menu)").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=V(this),e=t.prev(),i=V("<span>").data("ui-menu-submenu-caret",!0);s._addClass(i,"ui-menu-icon","ui-icon "+n),e.attr("aria-haspopup","true").prepend(i),t.attr("aria-labelledby",e.attr("id"))}),this._addClass(e,"ui-menu","ui-widget ui-widget-content ui-front"),(t=i.add(this.element).find(this.options.items)).not(".ui-menu-item").each(function(){var t=V(this);s._isDivider(t)&&s._addClass(t,"ui-menu-divider","ui-widget-content")}),i=(e=t.not(".ui-menu-item, 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i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s<e+t&&this.activeMenu.scrollTop(i+e-s+t))},blur:function(t,e){e||clearTimeout(this.timer),this.active&&(this._removeClass(this.active.children(".ui-menu-item-wrapper"),null,"ui-state-active"),this._trigger("blur",t,{item:this.active}),this.active=null)},_startOpening:function(t){clearTimeout(this.timer),"true"===t.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(t)},this.delay))},_open:function(t){var e=V.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(e)},collapseAll:function(e,i){clearTimeout(this.timer),this.timer=this._delay(function(){var t=i?this.element:V(e&&e.target).closest(this.element.find(".ui-menu"));t.length||(t=this.element),this._close(t),this.blur(e),this._removeClass(t.find(".ui-state-active"),null,"ui-state-active"),this.activeMenu=t},i?0:this.delay)},_close:function(t){(t=t||(this.active?this.active.parent():this.element)).find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false")},_closeOnDocumentClick:function(t){return!V(t.target).closest(".ui-menu").length},_isDivider:function(t){return!/[^\-\u2014\u2013\s]/.test(t.text())},collapse:function(t){var e=this.active&&this.active.parent().closest(".ui-menu-item",this.element);e&&e.length&&(this._close(),this.focus(t,e))},expand:function(t){var e=this.active&&this._menuItems(this.active.children(".ui-menu")).first();e&&e.length&&(this._open(e.parent()),this._delay(function(){this.focus(t,e)}))},next:function(t){this._move("next","first",t)},previous:function(t){this._move("prev","last",t)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_menuItems:function(t){return(t||this.element).find(this.options.items).filter(".ui-menu-item")},_move:function(t,e,i){var s;(s=this.active?"first"===t||"last"===t?this.active["first"===t?"prevAll":"nextAll"](".ui-menu-item").last():this.active[t+"All"](".ui-menu-item").first():s)&&s.length&&this.active||(s=this._menuItems(this.activeMenu)[e]()),this.focus(i,s)},nextPage:function(t){var e,i,s;this.active?this.isLastItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.nextAll(".ui-menu-item").each(function(){return(e=V(this)).offset().top-i-s<0}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu)[this.active?"last":"first"]())):this.next(t)},previousPage:function(t){var e,i,s;this.active?this.isFirstItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.prevAll(".ui-menu-item").each(function(){return 0<(e=V(this)).offset().top-i+s}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu).first())):this.next(t)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||V(t.target).closest(".ui-menu-item");var e={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,e)},_filterMenuItems:function(t){var t=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),e=new RegExp("^"+t,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return e.test(String.prototype.trim.call(V(this).children(".ui-menu-item-wrapper").text()))})}});V.widget("ui.autocomplete",{version:"1.13.2",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:i=!0,this._move("previousPage",t);break;case e.PAGE_DOWN:i=!0,this._move("nextPage",t);break;case e.UP:i=!0,this._keyEvent("previous",t);break;case e.DOWN:i=!0,this._keyEvent("next",t);break;case e.ENTER:this.menu.active&&(i=!0,t.preventDefault(),this.menu.select(t));break;case e.TAB:this.menu.active&&this.menu.select(t);break;case e.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(t),t.preventDefault());break;default:s=!0,this._searchTimeout(t)}}},keypress:function(t){if(i)return i=!1,void(this.isMultiLine&&!this.menu.element.is(":visible")||t.preventDefault());if(!s){var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:this._move("previousPage",t);break;case e.PAGE_DOWN:this._move("nextPage",t);break;case e.UP:this._keyEvent("previous",t);break;case e.DOWN:this._keyEvent("next",t)}}},input:function(t){if(n)return n=!1,void t.preventDefault();this._searchTimeout(t)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(t){clearTimeout(this.searching),this.close(t),this._change(t)}}),this._initSource(),this.menu=V("<ul>").appendTo(this._appendTo()).menu({role:null}).hide().attr({unselectable:"on"}).menu("instance"),this._addClass(this.menu.element,"ui-autocomplete","ui-front"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault()},menufocus:function(t,e){var i,s;if(this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type)))return this.menu.blur(),void this.document.one("mousemove",function(){V(t.target).trigger(t.originalEvent)});s=e.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:s})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(s.value),(i=e.item.attr("aria-label")||s.value)&&String.prototype.trim.call(i).length&&(clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(i))},100))},menuselect:function(t,e){var i=e.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==V.ui.safeActiveElement(this.document[0])&&(this.element.trigger("focus"),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",t,{item:i})&&this._value(i.value),this.term=this._value(),this.close(t),this.selectedItem=i}}),this.liveRegion=V("<div>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(t,e){this._super(t,e),"source"===t&&this._initSource(),"appendTo"===t&&this.menu.element.appendTo(this._appendTo()),"disabled"===t&&e&&this.xhr&&this.xhr.abort()},_isEventTargetInWidget:function(t){var e=this.menu.element[0];return t.target===this.element[0]||t.target===e||V.contains(e,t.target)},_closeOnClickOutside:function(t){this._isEventTargetInWidget(t)||this.close()},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_initSource:function(){var i,s,n=this;Array.isArray(this.options.source)?(i=this.options.source,this.source=function(t,e){e(V.ui.autocomplete.filter(i,t.term))}):"string"==typeof this.options.source?(s=this.options.source,this.source=function(t,e){n.xhr&&n.xhr.abort(),n.xhr=V.ajax({url:s,data:t,dataType:"json",success:function(t){e(t)},error:function(){e([])}})}):this.source=this.options.source},_searchTimeout:function(s){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),e=this.menu.element.is(":visible"),i=s.altKey||s.ctrlKey||s.metaKey||s.shiftKey;t&&(e||i)||(this.selectedItem=null,this.search(null,s))},this.options.delay)},search:function(t,e){return t=null!=t?t:this._value(),this.term=this._value(),t.length<this.options.minLength?this.close(e):!1!==this._trigger("search",e)?this._search(t):void 0},_search:function(t){this.pending++,this._addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:t},this._response())},_response:function(){var e=++this.requestIndex;return function(t){e===this.requestIndex&&this.__response(t),this.pending--,this.pending||this._removeClass("ui-autocomplete-loading")}.bind(this)},__response:function(t){t=t&&this._normalize(t),this._trigger("response",null,{content:t}),!this.options.disabled&&t&&t.length&&!this.cancelSearch?(this._suggest(t),this._trigger("open")):this._close()},close:function(t){this.cancelSearch=!0,this._close(t)},_close:function(t){this._off(this.document,"mousedown"),this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",t))},_change:function(t){this.previous!==this._value()&&this._trigger("change",t,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:V.map(t,function(t){return"string"==typeof t?{label:t,value:t}:V.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var e=this.menu.element.empty();this._renderMenu(e,t),this.isNewMenu=!0,this.menu.refresh(),e.show(),this._resizeMenu(),e.position(V.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next(),this._on(this.document,{mousedown:"_closeOnClickOutside"})},_resizeMenu:function(){var t=this.menu.element;t.outerWidth(Math.max(t.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(i,t){var s=this;V.each(t,function(t,e){s._renderItemData(i,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-autocomplete-item",e)},_renderItem:function(t,e){return V("<li>").append(V("<div>").text(e.label)).appendTo(t)},_move:function(t,e){if(this.menu.element.is(":visible"))return this.menu.isFirstItem()&&/^previous/.test(t)||this.menu.isLastItem()&&/^next/.test(t)?(this.isMultiLine||this._value(this.term),void this.menu.blur()):void this.menu[t](e);this.search(null,e)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(t,e){this.isMultiLine&&!this.menu.element.is(":visible")||(this._move(t,e),e.preventDefault())},_isContentEditable:function(t){if(!t.length)return!1;var e=t.prop("contentEditable");return"inherit"===e?this._isContentEditable(t.parent()):"true"===e}}),V.extend(V.ui.autocomplete,{escapeRegex:function(t){return t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,e){var i=new RegExp(V.ui.autocomplete.escapeRegex(e),"i");return V.grep(t,function(t){return i.test(t.label||t.value||t)})}}),V.widget("ui.autocomplete",V.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(t){return t+(1<t?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var e;this._superApply(arguments),this.options.disabled||this.cancelSearch||(e=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(e))},100))}});V.ui.autocomplete;var tt=/ui-corner-([a-z]){2,6}/g;V.widget("ui.controlgroup",{version:"1.13.2",defaultElement:"<div>",options:{direction:"horizontal",disabled:null,onlyVisible:!0,items:{button:"input[type=button], input[type=submit], input[type=reset], button, a",controlgroupLabel:".ui-controlgroup-label",checkboxradio:"input[type='checkbox'], input[type='radio']",selectmenu:"select",spinner:".ui-spinner-input"}},_create:function(){this._enhance()},_enhance:function(){this.element.attr("role","toolbar"),this.refresh()},_destroy:function(){this._callChildMethod("destroy"),this.childWidgets.removeData("ui-controlgroup-data"),this.element.removeAttr("role"),this.options.items.controlgroupLabel&&this.element.find(this.options.items.controlgroupLabel).find(".ui-controlgroup-label-contents").contents().unwrap()},_initWidgets:function(){var o=this,a=[];V.each(this.options.items,function(s,t){var e,n={};if(t)return"controlgroupLabel"===s?((e=o.element.find(t)).each(function(){var t=V(this);t.children(".ui-controlgroup-label-contents").length||t.contents().wrapAll("<span class='ui-controlgroup-label-contents'></span>")}),o._addClass(e,null,"ui-widget ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.2",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio widget"),this.originalLabel="",(t=this.label.contents().not(this.element[0])).length&&(this.originalLabel+=t.clone().wrapAll("<div></div>").parent().html()),this.originalLabel&&(e.label=this.originalLabel),null!=(t=this.element[0].disabled)&&(e.disabled=t),e},_create:function(){var t=this.element[0].checked;this._bindFormResetHandler(),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled),this._setOption("disabled",this.options.disabled),this._addClass("ui-checkboxradio","ui-helper-hidden-accessible"),this._addClass(this.label,"ui-checkboxradio-label","ui-button ui-widget"),"radio"===this.type&&this._addClass(this.label,"ui-checkboxradio-radio-label"),this.options.label&&this.options.label!==this.originalLabel?this._updateLabel():this.originalLabel&&(this.options.label=this.originalLabel),this._enhance(),t&&this._addClass(this.label,"ui-checkboxradio-checked","ui-state-active"),this._on({change:"_toggleClasses",focus:function(){this._addClass(this.label,null,"ui-state-focus ui-visual-focus")},blur:function(){this._removeClass(this.label,null,"ui-state-focus ui-visual-focus")}})},_readType:function(){var t=this.element[0].nodeName.toLowerCase();this.type=this.element[0].type,"input"===t&&/radio|checkbox/.test(this.type)||V.error("Can't create checkboxradio on element.nodeName="+t+" and element.type="+this.type)},_enhance:function(){this._updateIcon(this.element[0].checked)},widget:function(){return this.label},_getRadioGroup:function(){var t=this.element[0].name,e="input[name='"+V.escapeSelector(t)+"']";return t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background ";this.options.icon?(this.icon||(this.icon=V("<span>"),this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-checkboxradio-icon-space")),"checkbox"===this.type?(e+=t?"ui-icon-check ui-state-checked":"ui-icon-blank",this._removeClass(this.icon,null,t?"ui-icon-blank":"ui-icon-check")):e+="ui-icon-blank",this._addClass(this.icon,"ui-checkboxradio-icon",e),t||this._removeClass(this.icon,null,"ui-icon-check ui-state-checked"),this.icon.prependTo(this.label).after(this.iconSpace)):void 0!==this.icon&&(this.icon.remove(),this.iconSpace.remove(),delete this.icon)},_updateLabel:function(){var t=this.label.contents().not(this.element[0]);this.icon&&(t=t.not(this.icon[0])),(t=this.iconSpace?t.not(this.iconSpace[0]):t).remove(),this.label.append(this.options.label)},refresh:function(){var t=this.element[0].checked,e=this.element[0].disabled;this._updateIcon(t),this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),null!==this.options.label&&this._updateLabel(),e!==this.options.disabled&&this._setOptions({disabled:e})}}]);var et;V.ui.checkboxradio;V.widget("ui.button",{version:"1.13.2",defaultElement:"<button>",options:{classes:{"ui-button":"ui-corner-all"},disabled:null,icon:null,iconPosition:"beginning",label:null,showLabel:!0},_getCreateOptions:function(){var t,e=this._super()||{};return this.isInput=this.element.is("input"),null!=(t=this.element[0].disabled)&&(e.disabled=t),this.originalLabel=this.isInput?this.element.val():this.element.html(),this.originalLabel&&(e.label=this.originalLabel),e},_create:function(){!this.option.showLabel&!this.options.icon&&(this.options.showLabel=!0),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled||!1),this.hasTitle=!!this.element.attr("title"),this.options.label&&this.options.label!==this.originalLabel&&(this.isInput?this.element.val(this.options.label):this.element.html(this.options.label)),this._addClass("ui-button","ui-widget"),this._setOption("disabled",this.options.disabled),this._enhance(),this.element.is("a")&&this._on({keyup:function(t){t.keyCode===V.ui.keyCode.SPACE&&(t.preventDefault(),this.element[0].click?this.element[0].click():this.element.trigger("click"))}})},_enhance:function(){this.element.is("button")||this.element.attr("role","button"),this.options.icon&&(this._updateIcon("icon",this.options.icon),this._updateTooltip())},_updateTooltip:function(){this.title=this.element.attr("title"),this.options.showLabel||this.title||this.element.attr("title",this.options.label)},_updateIcon:function(t,e){var i="iconPosition"!==t,s=i?this.options.iconPosition:e,t="top"===s||"bottom"===s;this.icon?i&&this._removeClass(this.icon,null,this.options.icon):(this.icon=V("<span>"),this._addClass(this.icon,"ui-button-icon","ui-icon"),this.options.showLabel||this._addClass("ui-button-icon-only")),i&&this._addClass(this.icon,null,e),this._attachIcon(s),t?(this._addClass(this.icon,null,"ui-widget-icon-block"),this.iconSpace&&this.iconSpace.remove()):(this.iconSpace||(this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-button-icon-space")),this._removeClass(this.icon,null,"ui-wiget-icon-block"),this._attachIconSpace(s))},_destroy:function(){this.element.removeAttr("role"),this.icon&&this.icon.remove(),this.iconSpace&&this.iconSpace.remove(),this.hasTitle||this.element.removeAttr("title")},_attachIconSpace:function(t){this.icon[/^(?:end|bottom)/.test(t)?"before":"after"](this.iconSpace)},_attachIcon:function(t){this.element[/^(?:end|bottom)/.test(t)?"append":"prepend"](this.icon)},_setOptions:function(t){var e=(void 0===t.showLabel?this.options:t).showLabel,i=(void 0===t.icon?this.options:t).icon;e||i||(t.showLabel=!0),this._super(t)},_setOption:function(t,e){"icon"===t&&(e?this._updateIcon(t,e):this.icon&&(this.icon.remove(),this.iconSpace&&this.iconSpace.remove())),"iconPosition"===t&&this._updateIcon(t,e),"showLabel"===t&&(this._toggleClass("ui-button-icon-only",null,!e),this._updateTooltip()),"label"===t&&(this.isInput?this.element.val(e):(this.element.html(e),this.icon&&(this._attachIcon(this.options.iconPosition),this._attachIconSpace(this.options.iconPosition)))),this._super(t,e),"disabled"===t&&(this._toggleClass(null,"ui-state-disabled",e),(this.element[0].disabled=e)&&this.element.trigger("blur"))},refresh:function(){var t=this.element.is("input, button")?this.element[0].disabled:this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOptions({disabled:t}),this._updateTooltip()}}),!1!==V.uiBackCompat&&(V.widget("ui.button",V.ui.button,{options:{text:!0,icons:{primary:null,secondary:null}},_create:function(){this.options.showLabel&&!this.options.text&&(this.options.showLabel=this.options.text),!this.options.showLabel&&this.options.text&&(this.options.text=this.options.showLabel),this.options.icon||!this.options.icons.primary&&!this.options.icons.secondary?this.options.icon&&(this.options.icons.primary=this.options.icon):this.options.icons.primary?this.options.icon=this.options.icons.primary:(this.options.icon=this.options.icons.secondary,this.options.iconPosition="end"),this._super()},_setOption:function(t,e){"text"!==t?("showLabel"===t&&(this.options.text=e),"icon"===t&&(this.options.icons.primary=e),"icons"===t&&(e.primary?(this._super("icon",e.primary),this._super("iconPosition","beginning")):e.secondary&&(this._super("icon",e.secondary),this._super("iconPosition","end"))),this._superApply(arguments)):this._super("showLabel",e)}}),V.fn.button=(et=V.fn.button,function(i){var t="string"==typeof i,s=Array.prototype.slice.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t=V(this).attr("type"),e=V.data(this,"ui-"+("checkbox"!==t&&"radio"!==t?"button":"checkboxradio"));return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?V.error("no such method '"+i+"' for button widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:V.error("cannot call methods on button prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=V.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=V(this).attr("type"),e="checkbox"!==t&&"radio"!==t?"button":"checkboxradio",t=V.data(this,"ui-"+e);t?(t.option(i||{}),t._init&&t._init()):"button"!=e?V(this).checkboxradio(V.extend({icon:!1},i)):et.call(V(this),i)})),n}),V.fn.buttonset=function(){return V.ui.controlgroup||V.error("Controlgroup widget missing"),"option"===arguments[0]&&"items"===arguments[1]&&arguments[2]?this.controlgroup.apply(this,[arguments[0],"items.button",arguments[2]]):"option"===arguments[0]&&"items"===arguments[1]?this.controlgroup.apply(this,[arguments[0],"items.button"]):("object"==typeof arguments[0]&&arguments[0].items&&(arguments[0].items={button:arguments[0].items}),this.controlgroup.apply(this,arguments))});var it;V.ui.button;function st(){this._curInst=null,this._keyEvent=!1,this._disabledInputs=[],this._datepickerShowing=!1,this._inDialog=!1,this._mainDivId="ui-datepicker-div",this._inlineClass="ui-datepicker-inline",this._appendClass="ui-datepicker-append",this._triggerClass="ui-datepicker-trigger",this._dialogClass="ui-datepicker-dialog",this._disableClass="ui-datepicker-disabled",this._unselectableClass="ui-datepicker-unselectable",this._currentClass="ui-datepicker-current-day",this._dayOverClass="ui-datepicker-days-cell-over",this.regional=[],this.regional[""]={closeText:"Done",prevText:"Prev",nextText:"Next",currentText:"Today",monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],weekHeader:"Wk",dateFormat:"mm/dd/yy",firstDay:0,isRTL:!1,showMonthAfterYear:!1,yearSuffix:"",selectMonthLabel:"Select month",selectYearLabel:"Select year"},this._defaults={showOn:"focus",showAnim:"fadeIn",showOptions:{},defaultDate:null,appendText:"",buttonText:"...",buttonImage:"",buttonImageOnly:!1,hideIfNoPrevNext:!1,navigationAsDateFormat:!1,gotoCurrent:!1,changeMonth:!1,changeYear:!1,yearRange:"c-10:c+10",showOtherMonths:!1,selectOtherMonths:!1,showWeek:!1,calculateWeek:this.iso8601Week,shortYearCutoff:"+10",minDate:null,maxDate:null,duration:"fast",beforeShowDay:null,beforeShow:null,onSelect:null,onChangeMonthYear:null,onClose:null,onUpdateDatepicker:null,numberOfMonths:1,showCurrentAtPos:0,stepMonths:1,stepBigMonths:12,altField:"",altFormat:"",constrainInput:!0,showButtonPanel:!1,autoSize:!1,disabled:!1},V.extend(this._defaults,this.regional[""]),this.regional.en=V.extend(!0,{},this.regional[""]),this.regional["en-US"]=V.extend(!0,{},this.regional.en),this.dpDiv=nt(V("<div id='"+this._mainDivId+"' class='ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>"))}function nt(t){var e="button, .ui-datepicker-prev, .ui-datepicker-next, .ui-datepicker-calendar td a";return t.on("mouseout",e,function(){V(this).removeClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).removeClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).removeClass("ui-datepicker-next-hover")}).on("mouseover",e,ot)}function ot(){V.datepicker._isDisabledDatepicker((it.inline?it.dpDiv.parent():it.input)[0])||(V(this).parents(".ui-datepicker-calendar").find("a").removeClass("ui-state-hover"),V(this).addClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).addClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).addClass("ui-datepicker-next-hover"))}function at(t,e){for(var i in V.extend(t,e),e)null==e[i]&&(t[i]=e[i]);return t}V.extend(V.ui,{datepicker:{version:"1.13.2"}}),V.extend(st.prototype,{markerClassName:"hasDatepicker",maxRows:4,_widgetDatepicker:function(){return this.dpDiv},setDefaults:function(t){return at(this._defaults,t||{}),this},_attachDatepicker:function(t,e){var i,s=t.nodeName.toLowerCase(),n="div"===s||"span"===s;t.id||(this.uuid+=1,t.id="dp"+this.uuid),(i=this._newInst(V(t),n)).settings=V.extend({},e||{}),"input"===s?this._connectDatepicker(t,i):n&&this._inlineDatepicker(t,i)},_newInst:function(t,e){return{id:t[0].id.replace(/([^A-Za-z0-9_\-])/g,"\\\\$1"),input:t,selectedDay:0,selectedMonth:0,selectedYear:0,drawMonth:0,drawYear:0,inline:e,dpDiv:e?nt(V("<div class='"+this._inlineClass+" ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>")):this.dpDiv}},_connectDatepicker:function(t,e){var i=V(t);e.append=V([]),e.trigger=V([]),i.hasClass(this.markerClassName)||(this._attachments(i,e),i.addClass(this.markerClassName).on("keydown",this._doKeyDown).on("keypress",this._doKeyPress).on("keyup",this._doKeyUp),this._autoSize(e),V.data(t,"datepicker",e),e.settings.disabled&&this._disableDatepicker(t))},_attachments:function(t,e){var i,s=this._get(e,"appendText"),n=this._get(e,"isRTL");e.append&&e.append.remove(),s&&(e.append=V("<span>").addClass(this._appendClass).text(s),t[n?"before":"after"](e.append)),t.off("focus",this._showDatepicker),e.trigger&&e.trigger.remove(),"focus"!==(i=this._get(e,"showOn"))&&"both"!==i||t.on("focus",this._showDatepicker),"button"!==i&&"both"!==i||(s=this._get(e,"buttonText"),i=this._get(e,"buttonImage"),this._get(e,"buttonImageOnly")?e.trigger=V("<img>").addClass(this._triggerClass).attr({src:i,alt:s,title:s}):(e.trigger=V("<button type='button'>").addClass(this._triggerClass),i?e.trigger.html(V("<img>").attr({src:i,alt:s,title:s})):e.trigger.text(s)),t[n?"before":"after"](e.trigger),e.trigger.on("click",function(){return V.datepicker._datepickerShowing&&V.datepicker._lastInput===t[0]?V.datepicker._hideDatepicker():(V.datepicker._datepickerShowing&&V.datepicker._lastInput!==t[0]&&V.datepicker._hideDatepicker(),V.datepicker._showDatepicker(t[0])),!1}))},_autoSize:function(t){var e,i,s,n,o,a;this._get(t,"autoSize")&&!t.inline&&(o=new Date(2009,11,20),(a=this._get(t,"dateFormat")).match(/[DM]/)&&(e=function(t){for(n=s=i=0;n<t.length;n++)t[n].length>i&&(i=t[n].length,s=n);return s},o.setMonth(e(this._get(t,a.match(/MM/)?"monthNames":"monthNamesShort"))),o.setDate(e(this._get(t,a.match(/DD/)?"dayNames":"dayNamesShort"))+20-o.getDay())),t.input.attr("size",this._formatDate(t,o).length))},_inlineDatepicker:function(t,e){var i=V(t);i.hasClass(this.markerClassName)||(i.addClass(this.markerClassName).append(e.dpDiv),V.data(t,"datepicker",e),this._setDate(e,this._getDefaultDate(e),!0),this._updateDatepicker(e),this._updateAlternate(e),e.settings.disabled&&this._disableDatepicker(t),e.dpDiv.css("display","block"))},_dialogDatepicker:function(t,e,i,s,n){var o,a=this._dialogInst;return a||(this.uuid+=1,o="dp"+this.uuid,this._dialogInput=V("<input type='text' id='"+o+"' style='position: absolute; top: -100px; width: 0px;'/>"),this._dialogInput.on("keydown",this._doKeyDown),V("body").append(this._dialogInput),(a=this._dialogInst=this._newInst(this._dialogInput,!1)).settings={},V.data(this._dialogInput[0],"datepicker",a)),at(a.settings,s||{}),e=e&&e.constructor===Date?this._formatDate(a,e):e,this._dialogInput.val(e),this._pos=n?n.length?n:[n.pageX,n.pageY]:null,this._pos||(o=document.documentElement.clientWidth,s=document.documentElement.clientHeight,e=document.documentElement.scrollLeft||document.body.scrollLeft,n=document.documentElement.scrollTop||document.body.scrollTop,this._pos=[o/2-100+e,s/2-150+n]),this._dialogInput.css("left",this._pos[0]+20+"px").css("top",this._pos[1]+"px"),a.settings.onSelect=i,this._inDialog=!0,this.dpDiv.addClass(this._dialogClass),this._showDatepicker(this._dialogInput[0]),V.blockUI&&V.blockUI(this.dpDiv),V.data(this._dialogInput[0],"datepicker",a),this},_destroyDatepicker:function(t){var e,i=V(t),s=V.data(t,"datepicker");i.hasClass(this.markerClassName)&&(e=t.nodeName.toLowerCase(),V.removeData(t,"datepicker"),"input"===e?(s.append.remove(),s.trigger.remove(),i.removeClass(this.markerClassName).off("focus",this._showDatepicker).off("keydown",this._doKeyDown).off("keypress",this._doKeyPress).off("keyup",this._doKeyUp)):"div"!==e&&"span"!==e||i.removeClass(this.markerClassName).empty(),it===s&&(it=null,this._curInst=null))},_enableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!1,s.trigger.filter("button").each(function(){this.disabled=!1}).end().filter("img").css({opacity:"1.0",cursor:""})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().removeClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!1)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}))},_disableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!0,s.trigger.filter("button").each(function(){this.disabled=!0}).end().filter("img").css({opacity:"0.5",cursor:"default"})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().addClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!0)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}),this._disabledInputs[this._disabledInputs.length]=e)},_isDisabledDatepicker:function(t){if(!t)return!1;for(var e=0;e<this._disabledInputs.length;e++)if(this._disabledInputs[e]===t)return!0;return!1},_getInst:function(t){try{return V.data(t,"datepicker")}catch(t){throw"Missing instance data for this datepicker"}},_optionDatepicker:function(t,e,i){var s,n,o=this._getInst(t);if(2===arguments.length&&"string"==typeof e)return"defaults"===e?V.extend({},V.datepicker._defaults):o?"all"===e?V.extend({},o.settings):this._get(o,e):null;s=e||{},"string"==typeof e&&((s={})[e]=i),o&&(this._curInst===o&&this._hideDatepicker(),n=this._getDateDatepicker(t,!0),e=this._getMinMaxDate(o,"min"),i=this._getMinMaxDate(o,"max"),at(o.settings,s),null!==e&&void 0!==s.dateFormat&&void 0===s.minDate&&(o.settings.minDate=this._formatDate(o,e)),null!==i&&void 0!==s.dateFormat&&void 0===s.maxDate&&(o.settings.maxDate=this._formatDate(o,i)),"disabled"in s&&(s.disabled?this._disableDatepicker(t):this._enableDatepicker(t)),this._attachments(V(t),o),this._autoSize(o),this._setDate(o,n),this._updateAlternate(o),this._updateDatepicker(o))},_changeDatepicker:function(t,e,i){this._optionDatepicker(t,e,i)},_refreshDatepicker:function(t){t=this._getInst(t);t&&this._updateDatepicker(t)},_setDateDatepicker:function(t,e){t=this._getInst(t);t&&(this._setDate(t,e),this._updateDatepicker(t),this._updateAlternate(t))},_getDateDatepicker:function(t,e){t=this._getInst(t);return t&&!t.inline&&this._setDateFromField(t,e),t?this._getDate(t):null},_doKeyDown:function(t){var e,i,s=V.datepicker._getInst(t.target),n=!0,o=s.dpDiv.is(".ui-datepicker-rtl");if(s._keyEvent=!0,V.datepicker._datepickerShowing)switch(t.keyCode){case 9:V.datepicker._hideDatepicker(),n=!1;break;case 13:return(i=V("td."+V.datepicker._dayOverClass+":not(."+V.datepicker._currentClass+")",s.dpDiv))[0]&&V.datepicker._selectDay(t.target,s.selectedMonth,s.selectedYear,i[0]),(e=V.datepicker._get(s,"onSelect"))?(i=V.datepicker._formatDate(s),e.apply(s.input?s.input[0]:null,[i,s])):V.datepicker._hideDatepicker(),!1;case 27:V.datepicker._hideDatepicker();break;case 33:V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 34:V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 35:(t.ctrlKey||t.metaKey)&&V.datepicker._clearDate(t.target),n=t.ctrlKey||t.metaKey;break;case 36:(t.ctrlKey||t.metaKey)&&V.datepicker._gotoToday(t.target),n=t.ctrlKey||t.metaKey;break;case 37:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?1:-1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 38:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,-7,"D"),n=t.ctrlKey||t.metaKey;break;case 39:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?-1:1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 40:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,7,"D"),n=t.ctrlKey||t.metaKey;break;default:n=!1}else 36===t.keyCode&&t.ctrlKey?V.datepicker._showDatepicker(this):n=!1;n&&(t.preventDefault(),t.stopPropagation())},_doKeyPress:function(t){var e,i=V.datepicker._getInst(t.target);if(V.datepicker._get(i,"constrainInput"))return e=V.datepicker._possibleChars(V.datepicker._get(i,"dateFormat")),i=String.fromCharCode(null==t.charCode?t.keyCode:t.charCode),t.ctrlKey||t.metaKey||i<" "||!e||-1<e.indexOf(i)},_doKeyUp:function(t){t=V.datepicker._getInst(t.target);if(t.input.val()!==t.lastVal)try{V.datepicker.parseDate(V.datepicker._get(t,"dateFormat"),t.input?t.input.val():null,V.datepicker._getFormatConfig(t))&&(V.datepicker._setDateFromField(t),V.datepicker._updateAlternate(t),V.datepicker._updateDatepicker(t))}catch(t){}return!0},_showDatepicker:function(t){var e,i,s,n;"input"!==(t=t.target||t).nodeName.toLowerCase()&&(t=V("input",t.parentNode)[0]),V.datepicker._isDisabledDatepicker(t)||V.datepicker._lastInput===t||(n=V.datepicker._getInst(t),V.datepicker._curInst&&V.datepicker._curInst!==n&&(V.datepicker._curInst.dpDiv.stop(!0,!0),n&&V.datepicker._datepickerShowing&&V.datepicker._hideDatepicker(V.datepicker._curInst.input[0])),!1!==(i=(s=V.datepicker._get(n,"beforeShow"))?s.apply(t,[t,n]):{})&&(at(n.settings,i),n.lastVal=null,V.datepicker._lastInput=t,V.datepicker._setDateFromField(n),V.datepicker._inDialog&&(t.value=""),V.datepicker._pos||(V.datepicker._pos=V.datepicker._findPos(t),V.datepicker._pos[1]+=t.offsetHeight),e=!1,V(t).parents().each(function(){return!(e|="fixed"===V(this).css("position"))}),s={left:V.datepicker._pos[0],top:V.datepicker._pos[1]},V.datepicker._pos=null,n.dpDiv.empty(),n.dpDiv.css({position:"absolute",display:"block",top:"-1000px"}),V.datepicker._updateDatepicker(n),s=V.datepicker._checkOffset(n,s,e),n.dpDiv.css({position:V.datepicker._inDialog&&V.blockUI?"static":e?"fixed":"absolute",display:"none",left:s.left+"px",top:s.top+"px"}),n.inline||(i=V.datepicker._get(n,"showAnim"),s=V.datepicker._get(n,"duration"),n.dpDiv.css("z-index",function(t){for(var e,i;t.length&&t[0]!==document;){if(("absolute"===(e=t.css("position"))||"relative"===e||"fixed"===e)&&(i=parseInt(t.css("zIndex"),10),!isNaN(i)&&0!==i))return i;t=t.parent()}return 0}(V(t))+1),V.datepicker._datepickerShowing=!0,V.effects&&V.effects.effect[i]?n.dpDiv.show(i,V.datepicker._get(n,"showOptions"),s):n.dpDiv[i||"show"](i?s:null),V.datepicker._shouldFocusInput(n)&&n.input.trigger("focus"),V.datepicker._curInst=n)))},_updateDatepicker:function(t){this.maxRows=4,(it=t).dpDiv.empty().append(this._generateHTML(t)),this._attachHandlers(t);var e,i=this._getNumberOfMonths(t),s=i[1],n=t.dpDiv.find("."+this._dayOverClass+" a"),o=V.datepicker._get(t,"onUpdateDatepicker");0<n.length&&ot.apply(n.get(0)),t.dpDiv.removeClass("ui-datepicker-multi-2 ui-datepicker-multi-3 ui-datepicker-multi-4").width(""),1<s&&t.dpDiv.addClass("ui-datepicker-multi-"+s).css("width",17*s+"em"),t.dpDiv[(1!==i[0]||1!==i[1]?"add":"remove")+"Class"]("ui-datepicker-multi"),t.dpDiv[(this._get(t,"isRTL")?"add":"remove")+"Class"]("ui-datepicker-rtl"),t===V.datepicker._curInst&&V.datepicker._datepickerShowing&&V.datepicker._shouldFocusInput(t)&&t.input.trigger("focus"),t.yearshtml&&(e=t.yearshtml,setTimeout(function(){e===t.yearshtml&&t.yearshtml&&t.dpDiv.find("select.ui-datepicker-year").first().replaceWith(t.yearshtml),e=t.yearshtml=null},0)),o&&o.apply(t.input?t.input[0]:null,[t])},_shouldFocusInput:function(t){return t.input&&t.input.is(":visible")&&!t.input.is(":disabled")&&!t.input.is(":focus")},_checkOffset:function(t,e,i){var s=t.dpDiv.outerWidth(),n=t.dpDiv.outerHeight(),o=t.input?t.input.outerWidth():0,a=t.input?t.input.outerHeight():0,r=document.documentElement.clientWidth+(i?0:V(document).scrollLeft()),l=document.documentElement.clientHeight+(i?0:V(document).scrollTop());return e.left-=this._get(t,"isRTL")?s-o:0,e.left-=i&&e.left===t.input.offset().left?V(document).scrollLeft():0,e.top-=i&&e.top===t.input.offset().top+a?V(document).scrollTop():0,e.left-=Math.min(e.left,e.left+s>r&&s<r?Math.abs(e.left+s-r):0),e.top-=Math.min(e.top,e.top+n>l&&n<l?Math.abs(n+a):0),e},_findPos:function(t){for(var e=this._getInst(t),i=this._get(e,"isRTL");t&&("hidden"===t.type||1!==t.nodeType||V.expr.pseudos.hidden(t));)t=t[i?"previousSibling":"nextSibling"];return[(e=V(t).offset()).left,e.top]},_hideDatepicker:function(t){var e,i,s=this._curInst;!s||t&&s!==V.data(t,"datepicker")||this._datepickerShowing&&(e=this._get(s,"showAnim"),i=this._get(s,"duration"),t=function(){V.datepicker._tidyDialog(s)},V.effects&&(V.effects.effect[e]||V.effects[e])?s.dpDiv.hide(e,V.datepicker._get(s,"showOptions"),i,t):s.dpDiv["slideDown"===e?"slideUp":"fadeIn"===e?"fadeOut":"hide"](e?i:null,t),e||t(),this._datepickerShowing=!1,(t=this._get(s,"onClose"))&&t.apply(s.input?s.input[0]:null,[s.input?s.input.val():"",s]),this._lastInput=null,this._inDialog&&(this._dialogInput.css({position:"absolute",left:"0",top:"-100px"}),V.blockUI&&(V.unblockUI(),V("body").append(this.dpDiv))),this._inDialog=!1)},_tidyDialog:function(t){t.dpDiv.removeClass(this._dialogClass).off(".ui-datepicker-calendar")},_checkExternalClick:function(t){var e;V.datepicker._curInst&&(e=V(t.target),t=V.datepicker._getInst(e[0]),(e[0].id===V.datepicker._mainDivId||0!==e.parents("#"+V.datepicker._mainDivId).length||e.hasClass(V.datepicker.markerClassName)||e.closest("."+V.datepicker._triggerClass).length||!V.datepicker._datepickerShowing||V.datepicker._inDialog&&V.blockUI)&&(!e.hasClass(V.datepicker.markerClassName)||V.datepicker._curInst===t)||V.datepicker._hideDatepicker())},_adjustDate:function(t,e,i){var s=V(t),t=this._getInst(s[0]);this._isDisabledDatepicker(s[0])||(this._adjustInstDate(t,e,i),this._updateDatepicker(t))},_gotoToday:function(t){var e=V(t),i=this._getInst(e[0]);this._get(i,"gotoCurrent")&&i.currentDay?(i.selectedDay=i.currentDay,i.drawMonth=i.selectedMonth=i.currentMonth,i.drawYear=i.selectedYear=i.currentYear):(t=new Date,i.selectedDay=t.getDate(),i.drawMonth=i.selectedMonth=t.getMonth(),i.drawYear=i.selectedYear=t.getFullYear()),this._notifyChange(i),this._adjustDate(e)},_selectMonthYear:function(t,e,i){var s=V(t),t=this._getInst(s[0]);t["selected"+("M"===i?"Month":"Year")]=t["draw"+("M"===i?"Month":"Year")]=parseInt(e.options[e.selectedIndex].value,10),this._notifyChange(t),this._adjustDate(s)},_selectDay:function(t,e,i,s){var n=V(t);V(s).hasClass(this._unselectableClass)||this._isDisabledDatepicker(n[0])||((n=this._getInst(n[0])).selectedDay=n.currentDay=parseInt(V("a",s).attr("data-date")),n.selectedMonth=n.currentMonth=e,n.selectedYear=n.currentYear=i,this._selectDate(t,this._formatDate(n,n.currentDay,n.currentMonth,n.currentYear)))},_clearDate:function(t){t=V(t);this._selectDate(t,"")},_selectDate:function(t,e){var i=V(t),t=this._getInst(i[0]);e=null!=e?e:this._formatDate(t),t.input&&t.input.val(e),this._updateAlternate(t),(i=this._get(t,"onSelect"))?i.apply(t.input?t.input[0]:null,[e,t]):t.input&&t.input.trigger("change"),t.inline?this._updateDatepicker(t):(this._hideDatepicker(),this._lastInput=t.input[0],"object"!=typeof t.input[0]&&t.input.trigger("focus"),this._lastInput=null)},_updateAlternate:function(t){var e,i,s=this._get(t,"altField");s&&(e=this._get(t,"altFormat")||this._get(t,"dateFormat"),i=this._getDate(t),t=this.formatDate(e,i,this._getFormatConfig(t)),V(document).find(s).val(t))},noWeekends:function(t){t=t.getDay();return[0<t&&t<6,""]},iso8601Week:function(t){var e=new Date(t.getTime());return e.setDate(e.getDate()+4-(e.getDay()||7)),t=e.getTime(),e.setMonth(0),e.setDate(1),Math.floor(Math.round((t-e)/864e5)/7)+1},parseDate:function(e,n,t){if(null==e||null==n)throw"Invalid arguments";if(""===(n="object"==typeof n?n.toString():n+""))return null;for(var i,s,o,a=0,r=(t?t.shortYearCutoff:null)||this._defaults.shortYearCutoff,r="string"!=typeof r?r:(new Date).getFullYear()%100+parseInt(r,10),l=(t?t.dayNamesShort:null)||this._defaults.dayNamesShort,h=(t?t.dayNames:null)||this._defaults.dayNames,c=(t?t.monthNamesShort:null)||this._defaults.monthNamesShort,u=(t?t.monthNames:null)||this._defaults.monthNames,d=-1,p=-1,f=-1,g=-1,m=!1,_=function(t){t=w+1<e.length&&e.charAt(w+1)===t;return t&&w++,t},v=function(t){var e=_(t),e="@"===t?14:"!"===t?20:"y"===t&&e?4:"o"===t?3:2,e=new RegExp("^\\d{"+("y"===t?e:1)+","+e+"}"),e=n.substring(a).match(e);if(!e)throw"Missing number at position "+a;return a+=e[0].length,parseInt(e[0],10)},b=function(t,e,i){var s=-1,e=V.map(_(t)?i:e,function(t,e){return[[e,t]]}).sort(function(t,e){return-(t[1].length-e[1].length)});if(V.each(e,function(t,e){var i=e[1];if(n.substr(a,i.length).toLowerCase()===i.toLowerCase())return s=e[0],a+=i.length,!1}),-1!==s)return s+1;throw"Unknown name at position "+a},y=function(){if(n.charAt(a)!==e.charAt(w))throw"Unexpected literal at position 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dd-M-y",RFC_1036:"D, d M y",RFC_1123:"D, d M yy",RFC_2822:"D, d M yy",RSS:"D, d M y",TICKS:"!",TIMESTAMP:"@",W3C:"yy-mm-dd",_ticksTo1970:24*(718685+Math.floor(492.5)-Math.floor(19.7)+Math.floor(4.925))*60*60*1e7,formatDate:function(e,t,i){if(!t)return"";function s(t,e,i){var s=""+e;if(c(t))for(;s.length<i;)s="0"+s;return s}function n(t,e,i,s){return(c(t)?s:i)[e]}var o,a=(i?i.dayNamesShort:null)||this._defaults.dayNamesShort,r=(i?i.dayNames:null)||this._defaults.dayNames,l=(i?i.monthNamesShort:null)||this._defaults.monthNamesShort,h=(i?i.monthNames:null)||this._defaults.monthNames,c=function(t){t=o+1<e.length&&e.charAt(o+1)===t;return t&&o++,t},u="",d=!1;if(t)for(o=0;o<e.length;o++)if(d)"'"!==e.charAt(o)||c("'")?u+=e.charAt(o):d=!1;else switch(e.charAt(o)){case"d":u+=s("d",t.getDate(),2);break;case"D":u+=n("D",t.getDay(),a,r);break;case"o":u+=s("o",Math.round((new Date(t.getFullYear(),t.getMonth(),t.getDate()).getTime()-new Date(t.getFullYear(),0,0).getTime())/864e5),3);break;case"m":u+=s("m",t.getMonth()+1,2);break;case"M":u+=n("M",t.getMonth(),l,h);break;case"y":u+=c("y")?t.getFullYear():(t.getFullYear()%100<10?"0":"")+t.getFullYear()%100;break;case"@":u+=t.getTime();break;case"!":u+=1e4*t.getTime()+this._ticksTo1970;break;case"'":c("'")?u+="'":d=!0;break;default:u+=e.charAt(o)}return u},_possibleChars:function(e){for(var t="",i=!1,s=function(t){t=n+1<e.length&&e.charAt(n+1)===t;return t&&n++,t},n=0;n<e.length;n++)if(i)"'"!==e.charAt(n)||s("'")?t+=e.charAt(n):i=!1;else switch(e.charAt(n)){case"d":case"m":case"y":case"@":t+="0123456789";break;case"D":case"M":return null;case"'":s("'")?t+="'":i=!0;break;default:t+=e.charAt(n)}return t},_get:function(t,e){return(void 0!==t.settings[e]?t.settings:this._defaults)[e]},_setDateFromField:function(t,e){if(t.input.val()!==t.lastVal){var i=this._get(t,"dateFormat"),s=t.lastVal=t.input?t.input.val():null,n=this._getDefaultDate(t),o=n,a=this._getFormatConfig(t);try{o=this.parseDate(i,s,a)||n}catch(t){s=e?"":s}t.selectedDay=o.getDate(),t.drawMonth=t.selectedMonth=o.getMonth(),t.drawYear=t.selectedYear=o.getFullYear(),t.currentDay=s?o.getDate():0,t.currentMonth=s?o.getMonth():0,t.currentYear=s?o.getFullYear():0,this._adjustInstDate(t)}},_getDefaultDate:function(t){return this._restrictMinMax(t,this._determineDate(t,this._get(t,"defaultDate"),new Date))},_determineDate:function(r,t,e){var i,s,t=null==t||""===t?e:"string"==typeof t?function(t){try{return V.datepicker.parseDate(V.datepicker._get(r,"dateFormat"),t,V.datepicker._getFormatConfig(r))}catch(t){}for(var e=(t.toLowerCase().match(/^c/)?V.datepicker._getDate(r):null)||new Date,i=e.getFullYear(),s=e.getMonth(),n=e.getDate(),o=/([+\-]?[0-9]+)\s*(d|D|w|W|m|M|y|Y)?/g,a=o.exec(t);a;){switch(a[2]||"d"){case"d":case"D":n+=parseInt(a[1],10);break;case"w":case"W":n+=7*parseInt(a[1],10);break;case"m":case"M":s+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s));break;case"y":case"Y":i+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s))}a=o.exec(t)}return new Date(i,s,n)}(t):"number"==typeof t?isNaN(t)?e:(i=t,(s=new Date).setDate(s.getDate()+i),s):new Date(t.getTime());return(t=t&&"Invalid Date"===t.toString()?e:t)&&(t.setHours(0),t.setMinutes(0),t.setSeconds(0),t.setMilliseconds(0)),this._daylightSavingAdjust(t)},_daylightSavingAdjust:function(t){return t?(t.setHours(12<t.getHours()?t.getHours()+2:0),t):null},_setDate:function(t,e,i){var s=!e,n=t.selectedMonth,o=t.selectedYear,e=this._restrictMinMax(t,this._determineDate(t,e,new Date));t.selectedDay=t.currentDay=e.getDate(),t.drawMonth=t.selectedMonth=t.currentMonth=e.getMonth(),t.drawYear=t.selectedYear=t.currentYear=e.getFullYear(),n===t.selectedMonth&&o===t.selectedYear||i||this._notifyChange(t),this._adjustInstDate(t),t.input&&t.input.val(s?"":this._formatDate(t))},_getDate:function(t){return!t.currentYear||t.input&&""===t.input.val()?null:this._daylightSavingAdjust(new Date(t.currentYear,t.currentMonth,t.currentDay))},_attachHandlers:function(t){var e=this._get(t,"stepMonths"),i="#"+t.id.replace(/\\\\/g,"\\");t.dpDiv.find("[data-handler]").map(function(){var t={prev:function(){V.datepicker._adjustDate(i,-e,"M")},next:function(){V.datepicker._adjustDate(i,+e,"M")},hide:function(){V.datepicker._hideDatepicker()},today:function(){V.datepicker._gotoToday(i)},selectDay:function(){return V.datepicker._selectDay(i,+this.getAttribute("data-month"),+this.getAttribute("data-year"),this),!1},selectMonth:function(){return V.datepicker._selectMonthYear(i,this,"M"),!1},selectYear:function(){return V.datepicker._selectMonthYear(i,this,"Y"),!1}};V(this).on(this.getAttribute("data-event"),t[this.getAttribute("data-handler")])})},_generateHTML:function(t){var e,i,s,n,o,a,r,l,h,c,u,d,p,f,g,m,_,v,b,y,w,x,k,C,D,I,T,P,M,S,H,z,A=new Date,O=this._daylightSavingAdjust(new Date(A.getFullYear(),A.getMonth(),A.getDate())),N=this._get(t,"isRTL"),E=this._get(t,"showButtonPanel"),W=this._get(t,"hideIfNoPrevNext"),F=this._get(t,"navigationAsDateFormat"),L=this._getNumberOfMonths(t),R=this._get(t,"showCurrentAtPos"),A=this._get(t,"stepMonths"),Y=1!==L[0]||1!==L[1],B=this._daylightSavingAdjust(t.currentDay?new Date(t.currentYear,t.currentMonth,t.currentDay):new Date(9999,9,9)),j=this._getMinMaxDate(t,"min"),q=this._getMinMaxDate(t,"max"),K=t.drawMonth-R,U=t.drawYear;if(K<0&&(K+=12,U--),q)for(e=this._daylightSavingAdjust(new Date(q.getFullYear(),q.getMonth()-L[0]*L[1]+1,q.getDate())),e=j&&e<j?j:e;this._daylightSavingAdjust(new Date(U,K,1))>e;)--K<0&&(K=11,U--);for(t.drawMonth=K,t.drawYear=U,R=this._get(t,"prevText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K-A,1)),this._getFormatConfig(t)):R,i=this._canAdjustMonth(t,-1,U,K)?V("<a>").attr({class:"ui-datepicker-prev ui-corner-all","data-handler":"prev","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-prev ui-corner-all ui-state-disabled",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML,R=this._get(t,"nextText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K+A,1)),this._getFormatConfig(t)):R,s=this._canAdjustMonth(t,1,U,K)?V("<a>").attr({class:"ui-datepicker-next ui-corner-all","data-handler":"next","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-next ui-corner-all ui-state-disabled",title:R}).append(V("<span>").attr("class","ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML,A=this._get(t,"currentText"),W=this._get(t,"gotoCurrent")&&t.currentDay?B:O,A=F?this.formatDate(A,W,this._getFormatConfig(t)):A,R="",t.inline||(R=V("<button>").attr({type:"button",class:"ui-datepicker-close ui-state-default ui-priority-primary ui-corner-all","data-handler":"hide","data-event":"click"}).text(this._get(t,"closeText"))[0].outerHTML),F="",E&&(F=V("<div class='ui-datepicker-buttonpane ui-widget-content'>").append(N?R:"").append(this._isInRange(t,W)?V("<button>").attr({type:"button",class:"ui-datepicker-current ui-state-default ui-priority-secondary 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ui-datepicker-week-end":"")+(H?" ui-datepicker-other-month":"")+(T.getTime()===b.getTime()&&K===t.selectedMonth&&t._keyEvent||p.getTime()===T.getTime()&&p.getTime()===b.getTime()?" "+this._dayOverClass:"")+(z?" "+this._unselectableClass+" ui-state-disabled":"")+(H&&!u?"":" "+S[1]+(T.getTime()===B.getTime()?" 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t,e,i,s=this.options,n=this.document[0];this.relativeContainer=null,s.containment?"window"!==s.containment?"document"!==s.containment?s.containment.constructor!==Array?("parent"===s.containment&&(s.containment=this.helper[0].parentNode),(i=(e=V(s.containment))[0])&&(t=/(scroll|auto)/.test(e.css("overflow")),this.containment=[(parseInt(e.css("borderLeftWidth"),10)||0)+(parseInt(e.css("paddingLeft"),10)||0),(parseInt(e.css("borderTopWidth"),10)||0)+(parseInt(e.css("paddingTop"),10)||0),(t?Math.max(i.scrollWidth,i.offsetWidth):i.offsetWidth)-(parseInt(e.css("borderRightWidth"),10)||0)-(parseInt(e.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(i.scrollHeight,i.offsetHeight):i.offsetHeight)-(parseInt(e.css("borderBottomWidth"),10)||0)-(parseInt(e.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=e)):this.containment=s.containment:this.containment=[0,0,V(n).width()-this.helperProportions.width-this.margins.left,(V(n).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=[V(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,V(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,V(window).scrollLeft()+V(window).width()-this.helperProportions.width-this.margins.left,V(window).scrollTop()+(V(window).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=null},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,t=this._isRootNode(this.scrollParent[0]);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:t?0:this.offset.scroll.top)*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:t?0:this.offset.scroll.left)*i}},_generatePosition:function(t,e){var i,s=this.options,n=this._isRootNode(this.scrollParent[0]),o=t.pageX,a=t.pageY;return n&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),e&&(this.containment&&(i=this.relativeContainer?(i=this.relativeContainer.offset(),[this.containment[0]+i.left,this.containment[1]+i.top,this.containment[2]+i.left,this.containment[3]+i.top]):this.containment,t.pageX-this.offset.click.left<i[0]&&(o=i[0]+this.offset.click.left),t.pageY-this.offset.click.top<i[1]&&(a=i[1]+this.offset.click.top),t.pageX-this.offset.click.left>i[2]&&(o=i[2]+this.offset.click.left),t.pageY-this.offset.click.top>i[3]&&(a=i[3]+this.offset.click.top)),s.grid&&(t=s.grid[1]?this.originalPageY+Math.round((a-this.originalPageY)/s.grid[1])*s.grid[1]:this.originalPageY,a=!i||t-this.offset.click.top>=i[1]||t-this.offset.click.top>i[3]?t:t-this.offset.click.top>=i[1]?t-s.grid[1]:t+s.grid[1],t=s.grid[0]?this.originalPageX+Math.round((o-this.originalPageX)/s.grid[0])*s.grid[0]:this.originalPageX,o=!i||t-this.offset.click.left>=i[0]||t-this.offset.click.left>i[2]?t:t-this.offset.click.left>=i[0]?t-s.grid[0]:t+s.grid[0]),"y"===s.axis&&(o=this.originalPageX),"x"===s.axis&&(a=this.originalPageY)),{top:a-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:n?0:this.offset.scroll.top),left:o-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:n?0:this.offset.scroll.left)}},_clear:function(){this._removeClass(this.helper,"ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_trigger:function(t,e,i){return i=i||this._uiHash(),V.ui.plugin.call(this,t,[e,i,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),i.offset=this.positionAbs),V.Widget.prototype._trigger.call(this,t,e,i)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),V.ui.plugin.add("draggable","connectToSortable",{start:function(e,t,i){var s=V.extend({},t,{item:i.element});i.sortables=[],V(i.options.connectToSortable).each(function(){var t=V(this).sortable("instance");t&&!t.options.disabled&&(i.sortables.push(t),t.refreshPositions(),t._trigger("activate",e,s))})},stop:function(e,t,i){var s=V.extend({},t,{item:i.element});i.cancelHelperRemoval=!1,V.each(i.sortables,function(){var t=this;t.isOver?(t.isOver=0,i.cancelHelperRemoval=!0,t.cancelHelperRemoval=!1,t._storedCSS={position:t.placeholder.css("position"),top:t.placeholder.css("top"),left:t.placeholder.css("left")},t._mouseStop(e),t.options.helper=t.options._helper):(t.cancelHelperRemoval=!0,t._trigger("deactivate",e,s))})},drag:function(i,s,n){V.each(n.sortables,function(){var t=!1,e=this;e.positionAbs=n.positionAbs,e.helperProportions=n.helperProportions,e.offset.click=n.offset.click,e._intersectsWith(e.containerCache)&&(t=!0,V.each(n.sortables,function(){return this.positionAbs=n.positionAbs,this.helperProportions=n.helperProportions,this.offset.click=n.offset.click,t=this!==e&&this._intersectsWith(this.containerCache)&&V.contains(e.element[0],this.element[0])?!1:t})),t?(e.isOver||(e.isOver=1,n._parent=s.helper.parent(),e.currentItem=s.helper.appendTo(e.element).data("ui-sortable-item",!0),e.options._helper=e.options.helper,e.options.helper=function(){return s.helper[0]},i.target=e.currentItem[0],e._mouseCapture(i,!0),e._mouseStart(i,!0,!0),e.offset.click.top=n.offset.click.top,e.offset.click.left=n.offset.click.left,e.offset.parent.left-=n.offset.parent.left-e.offset.parent.left,e.offset.parent.top-=n.offset.parent.top-e.offset.parent.top,n._trigger("toSortable",i),n.dropped=e.element,V.each(n.sortables,function(){this.refreshPositions()}),n.currentItem=n.element,e.fromOutside=n),e.currentItem&&(e._mouseDrag(i),s.position=e.position)):e.isOver&&(e.isOver=0,e.cancelHelperRemoval=!0,e.options._revert=e.options.revert,e.options.revert=!1,e._trigger("out",i,e._uiHash(e)),e._mouseStop(i,!0),e.options.revert=e.options._revert,e.options.helper=e.options._helper,e.placeholder&&e.placeholder.remove(),s.helper.appendTo(n._parent),n._refreshOffsets(i),s.position=n._generatePosition(i,!0),n._trigger("fromSortable",i),n.dropped=!1,V.each(n.sortables,function(){this.refreshPositions()}))})}}),V.ui.plugin.add("draggable","cursor",{start:function(t,e,i){var s=V("body"),i=i.options;s.css("cursor")&&(i._cursor=s.css("cursor")),s.css("cursor",i.cursor)},stop:function(t,e,i){i=i.options;i._cursor&&V("body").css("cursor",i._cursor)}}),V.ui.plugin.add("draggable","opacity",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("opacity")&&(i._opacity=e.css("opacity")),e.css("opacity",i.opacity)},stop:function(t,e,i){i=i.options;i._opacity&&V(e.helper).css("opacity",i._opacity)}}),V.ui.plugin.add("draggable","scroll",{start:function(t,e,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,e,i){var s=i.options,n=!1,o=i.scrollParentNotHidden[0],a=i.document[0];o!==a&&"HTML"!==o.tagName?(s.axis&&"x"===s.axis||(i.overflowOffset.top+o.offsetHeight-t.pageY<s.scrollSensitivity?o.scrollTop=n=o.scrollTop+s.scrollSpeed:t.pageY-i.overflowOffset.top<s.scrollSensitivity&&(o.scrollTop=n=o.scrollTop-s.scrollSpeed)),s.axis&&"y"===s.axis||(i.overflowOffset.left+o.offsetWidth-t.pageX<s.scrollSensitivity?o.scrollLeft=n=o.scrollLeft+s.scrollSpeed:t.pageX-i.overflowOffset.left<s.scrollSensitivity&&(o.scrollLeft=n=o.scrollLeft-s.scrollSpeed))):(s.axis&&"x"===s.axis||(t.pageY-V(a).scrollTop()<s.scrollSensitivity?n=V(a).scrollTop(V(a).scrollTop()-s.scrollSpeed):V(window).height()-(t.pageY-V(a).scrollTop())<s.scrollSensitivity&&(n=V(a).scrollTop(V(a).scrollTop()+s.scrollSpeed))),s.axis&&"y"===s.axis||(t.pageX-V(a).scrollLeft()<s.scrollSensitivity?n=V(a).scrollLeft(V(a).scrollLeft()-s.scrollSpeed):V(window).width()-(t.pageX-V(a).scrollLeft())<s.scrollSensitivity&&(n=V(a).scrollLeft(V(a).scrollLeft()+s.scrollSpeed)))),!1!==n&&V.ui.ddmanager&&!s.dropBehaviour&&V.ui.ddmanager.prepareOffsets(i,t)}}),V.ui.plugin.add("draggable","snap",{start:function(t,e,i){var s=i.options;i.snapElements=[],V(s.snap.constructor!==String?s.snap.items||":data(ui-draggable)":s.snap).each(function(){var t=V(this),e=t.offset();this!==i.element[0]&&i.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:e.top,left:e.left})})},drag:function(t,e,i){for(var s,n,o,a,r,l,h,c,u,d=i.options,p=d.snapTolerance,f=e.offset.left,g=f+i.helperProportions.width,m=e.offset.top,_=m+i.helperProportions.height,v=i.snapElements.length-1;0<=v;v--)l=(r=i.snapElements[v].left-i.margins.left)+i.snapElements[v].width,c=(h=i.snapElements[v].top-i.margins.top)+i.snapElements[v].height,g<r-p||l+p<f||_<h-p||c+p<m||!V.contains(i.snapElements[v].item.ownerDocument,i.snapElements[v].item)?(i.snapElements[v].snapping&&i.options.snap.release&&i.options.snap.release.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=!1):("inner"!==d.snapMode&&(s=Math.abs(h-_)<=p,n=Math.abs(c-m)<=p,o=Math.abs(r-g)<=p,a=Math.abs(l-f)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h-i.helperProportions.height,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r-i.helperProportions.width}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l}).left)),u=s||n||o||a,"outer"!==d.snapMode&&(s=Math.abs(h-m)<=p,n=Math.abs(c-_)<=p,o=Math.abs(r-f)<=p,a=Math.abs(l-g)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c-i.helperProportions.height,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l-i.helperProportions.width}).left)),!i.snapElements[v].snapping&&(s||n||o||a||u)&&i.options.snap.snap&&i.options.snap.snap.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=s||n||o||a||u)}}),V.ui.plugin.add("draggable","stack",{start:function(t,e,i){var s,i=i.options,i=V.makeArray(V(i.stack)).sort(function(t,e){return(parseInt(V(t).css("zIndex"),10)||0)-(parseInt(V(e).css("zIndex"),10)||0)});i.length&&(s=parseInt(V(i[0]).css("zIndex"),10)||0,V(i).each(function(t){V(this).css("zIndex",s+t)}),this.css("zIndex",s+i.length))}}),V.ui.plugin.add("draggable","zIndex",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("zIndex")&&(i._zIndex=e.css("zIndex")),e.css("zIndex",i.zIndex)},stop:function(t,e,i){i=i.options;i._zIndex&&V(e.helper).css("zIndex",i._zIndex)}});V.ui.draggable;V.widget("ui.resizable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,classes:{"ui-resizable-se":"ui-icon ui-icon-gripsmall-diagonal-se"},containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(t){return parseFloat(t)||0},_isNumber:function(t){return!isNaN(parseFloat(t))},_hasScroll:function(t,e){if("hidden"===V(t).css("overflow"))return!1;var i=e&&"left"===e?"scrollLeft":"scrollTop",e=!1;if(0<t[i])return!0;try{t[i]=1,e=0<t[i],t[i]=0}catch(t){}return e},_create:function(){var t,e=this.options,i=this;this._addClass("ui-resizable"),V.extend(this,{_aspectRatio:!!e.aspectRatio,aspectRatio:e.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:e.helper||e.ghost||e.animate?e.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(V("<div class='ui-wrapper'></div>").css({overflow:"hidden",position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,t={marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom"),marginLeft:this.originalElement.css("marginLeft")},this.element.css(t),this.originalElement.css("margin",0),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css(t),this._proportionallyResize()),this._setupHandles(),e.autoHide&&V(this.element).on("mouseenter",function(){e.disabled||(i._removeClass("ui-resizable-autohide"),i._handles.show())}).on("mouseleave",function(){e.disabled||i.resizing||(i._addClass("ui-resizable-autohide"),i._handles.hide())}),this._mouseInit()},_destroy:function(){this._mouseDestroy(),this._addedHandles.remove();function t(t){V(t).removeData("resizable").removeData("ui-resizable").off(".resizable")}var e;return this.elementIsWrapper&&(t(this.element),e=this.element,this.originalElement.css({position:e.css("position"),width:e.outerWidth(),height:e.outerHeight(),top:e.css("top"),left:e.css("left")}).insertAfter(e),e.remove()),this.originalElement.css("resize",this.originalResizeStyle),t(this.originalElement),this},_setOption:function(t,e){switch(this._super(t,e),t){case"handles":this._removeHandles(),this._setupHandles();break;case"aspectRatio":this._aspectRatio=!!e}},_setupHandles:function(){var t,e,i,s,n,o=this.options,a=this;if(this.handles=o.handles||(V(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=V(),this._addedHandles=V(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),i=this.handles.split(","),this.handles={},e=0;e<i.length;e++)s="ui-resizable-"+(t=String.prototype.trim.call(i[e])),n=V("<div>"),this._addClass(n,"ui-resizable-handle "+s),n.css({zIndex:o.zIndex}),this.handles[t]=".ui-resizable-"+t,this.element.children(this.handles[t]).length||(this.element.append(n),this._addedHandles=this._addedHandles.add(n));this._renderAxis=function(t){var e,i,s;for(e in t=t||this.element,this.handles)this.handles[e].constructor===String?this.handles[e]=this.element.children(this.handles[e]).first().show():(this.handles[e].jquery||this.handles[e].nodeType)&&(this.handles[e]=V(this.handles[e]),this._on(this.handles[e],{mousedown:a._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(i=V(this.handles[e],this.element),s=/sw|ne|nw|se|n|s/.test(e)?i.outerHeight():i.outerWidth(),i=["padding",/ne|nw|n/.test(e)?"Top":/se|sw|s/.test(e)?"Bottom":/^e$/.test(e)?"Right":"Left"].join(""),t.css(i,s),this._proportionallyResize()),this._handles=this._handles.add(this.handles[e])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.on("mouseover",function(){a.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),a.axis=n&&n[1]?n[1]:"se")}),o.autoHide&&(this._handles.hide(),this._addClass("ui-resizable-autohide"))},_removeHandles:function(){this._addedHandles.remove()},_mouseCapture:function(t){var e,i,s=!1;for(e in this.handles)(i=V(this.handles[e])[0])!==t.target&&!V.contains(i,t.target)||(s=!0);return!this.options.disabled&&s},_mouseStart:function(t){var e,i,s=this.options,n=this.element;return this.resizing=!0,this._renderProxy(),e=this._num(this.helper.css("left")),i=this._num(this.helper.css("top")),s.containment&&(e+=V(s.containment).scrollLeft()||0,i+=V(s.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:e,top:i},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:n.width(),height:n.height()},this.originalSize=this._helper?{width:n.outerWidth(),height:n.outerHeight()}:{width:n.width(),height:n.height()},this.sizeDiff={width:n.outerWidth()-n.width(),height:n.outerHeight()-n.height()},this.originalPosition={left:e,top:i},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof s.aspectRatio?s.aspectRatio:this.originalSize.width/this.originalSize.height||1,s=V(".ui-resizable-"+this.axis).css("cursor"),V("body").css("cursor","auto"===s?this.axis+"-resize":s),this._addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var e=this.originalMousePosition,i=this.axis,s=t.pageX-e.left||0,e=t.pageY-e.top||0,i=this._change[i];return this._updatePrevProperties(),i&&(e=i.apply(this,[t,s,e]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(e=this._updateRatio(e,t)),e=this._respectSize(e,t),this._updateCache(e),this._propagate("resize",t),e=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),V.isEmptyObject(e)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges())),!1},_mouseStop:function(t){this.resizing=!1;var e,i,s,n=this.options,o=this;return this._helper&&(s=(e=(i=this._proportionallyResizeElements).length&&/textarea/i.test(i[0].nodeName))&&this._hasScroll(i[0],"left")?0:o.sizeDiff.height,i=e?0:o.sizeDiff.width,e={width:o.helper.width()-i,height:o.helper.height()-s},i=parseFloat(o.element.css("left"))+(o.position.left-o.originalPosition.left)||null,s=parseFloat(o.element.css("top"))+(o.position.top-o.originalPosition.top)||null,n.animate||this.element.css(V.extend(e,{top:s,left:i})),o.helper.height(o.size.height),o.helper.width(o.size.width),this._helper&&!n.animate&&this._proportionallyResize()),V("body").css("cursor","auto"),this._removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var t={};return 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t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?V(t):this.document.find(t||"body").eq(0)},_destroy:function(){var t,e=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().css(this.originalCss).detach(),this.uiDialog.remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),(t=e.parent.children().eq(e.index)).length&&t[0]!==this.element[0]?t.before(this.element):e.parent.append(this.element)},widget:function(){return this.uiDialog},disable:V.noop,enable:V.noop,close:function(t){var e=this;this._isOpen&&!1!==this._trigger("beforeClose",t)&&(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),this.opener.filter(":focusable").trigger("focus").length||V.ui.safeBlur(V.ui.safeActiveElement(this.document[0])),this._hide(this.uiDialog,this.options.hide,function(){e._trigger("close",t)}))},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,e){var i=!1,s=this.uiDialog.siblings(".ui-front:visible").map(function(){return+V(this).css("z-index")}).get(),s=Math.max.apply(null,s);return s>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",s+1),i=!0),i&&!e&&this._trigger("focus",t),i},open:function(){var t=this;this._isOpen?this._moveToTop()&&this._focusTabbable():(this._isOpen=!0,this.opener=V(V.ui.safeActiveElement(this.document[0])),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"))},_focusTabbable:function(){var t=this._focusedElement;(t=!(t=!(t=!(t=!(t=t||this.element.find("[autofocus]")).length?this.element.find(":tabbable"):t).length?this.uiDialogButtonPane.find(":tabbable"):t).length?this.uiDialogTitlebarClose.filter(":tabbable"):t).length?this.uiDialog:t).eq(0).trigger("focus")},_restoreTabbableFocus:function(){var t=V.ui.safeActiveElement(this.document[0]);this.uiDialog[0]===t||V.contains(this.uiDialog[0],t)||this._focusTabbable()},_keepFocus:function(t){t.preventDefault(),this._restoreTabbableFocus(),this._delay(this._restoreTabbableFocus)},_createWrapper:function(){this.uiDialog=V("<div>").hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._addClass(this.uiDialog,"ui-dialog","ui-widget ui-widget-content ui-front"),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===V.ui.keyCode.ESCAPE)return t.preventDefault(),void this.close(t);var e,i,s;t.keyCode!==V.ui.keyCode.TAB||t.isDefaultPrevented()||(e=this.uiDialog.find(":tabbable"),i=e.first(),s=e.last(),t.target!==s[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==i[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){s.trigger("focus")}),t.preventDefault()):(this._delay(function(){i.trigger("focus")}),t.preventDefault()))},mousedown:function(t){this._moveToTop(t)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=V("<div>"),this._addClass(this.uiDialogTitlebar,"ui-dialog-titlebar","ui-widget-header ui-helper-clearfix"),this._on(this.uiDialogTitlebar,{mousedown:function(t){V(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.trigger("focus")}}),this.uiDialogTitlebarClose=V("<button 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s=this,t=this.options.buttons;this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),V.isEmptyObject(t)||Array.isArray(t)&&!t.length?this._removeClass(this.uiDialog,"ui-dialog-buttons"):(V.each(t,function(t,e){var i;e=V.extend({type:"button"},e="function"==typeof e?{click:e,text:t}:e),i=e.click,t={icon:e.icon,iconPosition:e.iconPosition,showLabel:e.showLabel,icons:e.icons,text:e.text},delete e.click,delete e.icon,delete e.iconPosition,delete e.showLabel,delete e.icons,"boolean"==typeof e.text&&delete e.text,V("<button></button>",e).button(t).appendTo(s.uiButtonSet).on("click",function(){i.apply(s.element[0],arguments)})}),this._addClass(this.uiDialog,"ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog))},_makeDraggable:function(){var n=this,o=this.options;function a(t){return{position:t.position,offset:t.offset}}this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(t,e){n._addClass(V(this),"ui-dialog-dragging"),n._blockFrames(),n._trigger("dragStart",t,a(e))},drag:function(t,e){n._trigger("drag",t,a(e))},stop:function(t,e){var i=e.offset.left-n.document.scrollLeft(),s=e.offset.top-n.document.scrollTop();o.position={my:"left top",at:"left"+(0<=i?"+":"")+i+" top"+(0<=s?"+":"")+s,of:n.window},n._removeClass(V(this),"ui-dialog-dragging"),n._unblockFrames(),n._trigger("dragStop",t,a(e))}})},_makeResizable:function(){var n=this,o=this.options,t=o.resizable,e=this.uiDialog.css("position"),t="string"==typeof t?t:"n,e,s,w,se,sw,ne,nw";function a(t){return{originalPosition:t.originalPosition,originalSize:t.originalSize,position:t.position,size:t.size}}this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:o.maxWidth,maxHeight:o.maxHeight,minWidth:o.minWidth,minHeight:this._minHeight(),handles:t,start:function(t,e){n._addClass(V(this),"ui-dialog-resizing"),n._blockFrames(),n._trigger("resizeStart",t,a(e))},resize:function(t,e){n._trigger("resize",t,a(e))},stop:function(t,e){var i=n.uiDialog.offset(),s=i.left-n.document.scrollLeft(),i=i.top-n.document.scrollTop();o.height=n.uiDialog.height(),o.width=n.uiDialog.width(),o.position={my:"left top",at:"left"+(0<=s?"+":"")+s+" top"+(0<=i?"+":"")+i,of:n.window},n._removeClass(V(this),"ui-dialog-resizing"),n._unblockFrames(),n._trigger("resizeStop",t,a(e))}}).css("position",e)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=V(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),e=V.inArray(this,t);-1!==e&&t.splice(e,1)},_trackingInstances:function(){var t=this.document.data("ui-dialog-instances");return t||this.document.data("ui-dialog-instances",t=[]),t},_minHeight:function(){var t=this.options;return"auto"===t.height?t.minHeight:Math.min(t.minHeight,t.height)},_position:function(){var t=this.uiDialog.is(":visible");t||this.uiDialog.show(),this.uiDialog.position(this.options.position),t||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};V.each(t,function(t,e){i._setOption(t,e),t in i.sizeRelatedOptions&&(s=!0),t in i.resizableRelatedOptions&&(n[t]=e)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(t,e){var i,s=this.uiDialog;"disabled"!==t&&(this._super(t,e),"appendTo"===t&&this.uiDialog.appendTo(this._appendTo()),"buttons"===t&&this._createButtons(),"closeText"===t&&this.uiDialogTitlebarClose.button({label:V("<a>").text(""+this.options.closeText).html()}),"draggable"===t&&((i=s.is(":data(ui-draggable)"))&&!e&&s.draggable("destroy"),!i&&e&&this._makeDraggable()),"position"===t&&this._position(),"resizable"===t&&((i=s.is(":data(ui-resizable)"))&&!e&&s.resizable("destroy"),i&&"string"==typeof e&&s.resizable("option","handles",e),i||!1===e||this._makeResizable()),"title"===t&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var t,e,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),t=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),e=Math.max(0,s.minHeight-t),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-t):"none","auto"===s.height?this.element.css({minHeight:e,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-t)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=V(this);return V("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return!!V(t.target).closest(".ui-dialog").length||!!V(t.target).closest(".ui-datepicker").length},_createOverlay:function(){var i,s;this.options.modal&&(i=V.fn.jquery.substring(0,4),s=!0,this._delay(function(){s=!1}),this.document.data("ui-dialog-overlays")||this.document.on("focusin.ui-dialog",function(t){var e;s||((e=this._trackingInstances()[0])._allowInteraction(t)||(t.preventDefault(),e._focusTabbable(),"3.4."!==i&&"3.5."!==i||e._delay(e._restoreTabbableFocus)))}.bind(this)),this.overlay=V("<div>").appendTo(this._appendTo()),this._addClass(this.overlay,null,"ui-widget-overlay ui-front"),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1))},_destroyOverlay:function(){var t;this.options.modal&&this.overlay&&((t=this.document.data("ui-dialog-overlays")-1)?this.document.data("ui-dialog-overlays",t):(this.document.off("focusin.ui-dialog"),this.document.removeData("ui-dialog-overlays")),this.overlay.remove(),this.overlay=null)}}),!1!==V.uiBackCompat&&V.widget("ui.dialog",V.ui.dialog,{options:{dialogClass:""},_createWrapper:function(){this._super(),this.uiDialog.addClass(this.options.dialogClass)},_setOption:function(t,e){"dialogClass"===t&&this.uiDialog.removeClass(this.options.dialogClass).addClass(e),this._superApply(arguments)}});V.ui.dialog;function lt(t,e,i){return e<=t&&t<e+i}V.widget("ui.droppable",{version:"1.13.2",widgetEventPrefix:"drop",options:{accept:"*",addClasses:!0,greedy:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,e=this.options,i=e.accept;this.isover=!1,this.isout=!0,this.accept="function"==typeof i?i:function(t){return t.is(i)},this.proportions=function(){if(!arguments.length)return t=t||{width:this.element[0].offsetWidth,height:this.element[0].offsetHeight};t=arguments[0]},this._addToManager(e.scope),e.addClasses&&this._addClass("ui-droppable")},_addToManager:function(t){V.ui.ddmanager.droppables[t]=V.ui.ddmanager.droppables[t]||[],V.ui.ddmanager.droppables[t].push(this)},_splice:function(t){for(var e=0;e<t.length;e++)t[e]===this&&t.splice(e,1)},_destroy:function(){var t=V.ui.ddmanager.droppables[this.options.scope];this._splice(t)},_setOption:function(t,e){var i;"accept"===t?this.accept="function"==typeof e?e:function(t){return t.is(e)}:"scope"===t&&(i=V.ui.ddmanager.droppables[this.options.scope],this._splice(i),this._addToManager(e)),this._super(t,e)},_activate:function(t){var e=V.ui.ddmanager.current;this._addActiveClass(),e&&this._trigger("activate",t,this.ui(e))},_deactivate:function(t){var e=V.ui.ddmanager.current;this._removeActiveClass(),e&&this._trigger("deactivate",t,this.ui(e))},_over:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._addHoverClass(),this._trigger("over",t,this.ui(e)))},_out:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._removeHoverClass(),this._trigger("out",t,this.ui(e)))},_drop:function(e,t){var i=t||V.ui.ddmanager.current,s=!1;return!(!i||(i.currentItem||i.element)[0]===this.element[0])&&(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var t=V(this).droppable("instance");if(t.options.greedy&&!t.options.disabled&&t.options.scope===i.options.scope&&t.accept.call(t.element[0],i.currentItem||i.element)&&V.ui.intersect(i,V.extend(t,{offset:t.element.offset()}),t.options.tolerance,e))return!(s=!0)}),!s&&(!!this.accept.call(this.element[0],i.currentItem||i.element)&&(this._removeActiveClass(),this._removeHoverClass(),this._trigger("drop",e,this.ui(i)),this.element)))},ui:function(t){return{draggable:t.currentItem||t.element,helper:t.helper,position:t.position,offset:t.positionAbs}},_addHoverClass:function(){this._addClass("ui-droppable-hover")},_removeHoverClass:function(){this._removeClass("ui-droppable-hover")},_addActiveClass:function(){this._addClass("ui-droppable-active")},_removeActiveClass:function(){this._removeClass("ui-droppable-active")}}),V.ui.intersect=function(t,e,i,s){if(!e.offset)return!1;var n=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,a=n+t.helperProportions.width,r=o+t.helperProportions.height,l=e.offset.left,h=e.offset.top,c=l+e.proportions().width,u=h+e.proportions().height;switch(i){case"fit":return l<=n&&a<=c&&h<=o&&r<=u;case"intersect":return l<n+t.helperProportions.width/2&&a-t.helperProportions.width/2<c&&h<o+t.helperProportions.height/2&&r-t.helperProportions.height/2<u;case"pointer":return lt(s.pageY,h,e.proportions().height)&&lt(s.pageX,l,e.proportions().width);case"touch":return(h<=o&&o<=u||h<=r&&r<=u||o<h&&u<r)&&(l<=n&&n<=c||l<=a&&a<=c||n<l&&c<a);default:return!1}},!(V.ui.ddmanager={current:null,droppables:{default:[]},prepareOffsets:function(t,e){var i,s,n=V.ui.ddmanager.droppables[t.options.scope]||[],o=e?e.type:null,a=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();t:for(i=0;i<n.length;i++)if(!(n[i].options.disabled||t&&!n[i].accept.call(n[i].element[0],t.currentItem||t.element))){for(s=0;s<a.length;s++)if(a[s]===n[i].element[0]){n[i].proportions().height=0;continue t}n[i].visible="none"!==n[i].element.css("display"),n[i].visible&&("mousedown"===o&&n[i]._activate.call(n[i],e),n[i].offset=n[i].element.offset(),n[i].proportions({width:n[i].element[0].offsetWidth,height:n[i].element[0].offsetHeight}))}},drop:function(t,e){var i=!1;return V.each((V.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&V.ui.intersect(t,this,this.options.tolerance,e)&&(i=this._drop.call(this,e)||i),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,e)))}),i},dragStart:function(t,e){t.element.parentsUntil("body").on("scroll.droppable",function(){t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)})},drag:function(n,o){n.options.refreshPositions&&V.ui.ddmanager.prepareOffsets(n,o),V.each(V.ui.ddmanager.droppables[n.options.scope]||[],function(){var t,e,i,s;this.options.disabled||this.greedyChild||!this.visible||(s=!(i=V.ui.intersect(n,this,this.options.tolerance,o))&&this.isover?"isout":i&&!this.isover?"isover":null)&&(this.options.greedy&&(e=this.options.scope,(i=this.element.parents(":data(ui-droppable)").filter(function(){return V(this).droppable("instance").options.scope===e})).length&&((t=V(i[0]).droppable("instance")).greedyChild="isover"===s)),t&&"isover"===s&&(t.isover=!1,t.isout=!0,t._out.call(t,o)),this[s]=!0,this["isout"===s?"isover":"isout"]=!1,this["isover"===s?"_over":"_out"].call(this,o),t&&"isout"===s&&(t.isout=!1,t.isover=!0,t._over.call(t,o)))})},dragStop:function(t,e){t.element.parentsUntil("body").off("scroll.droppable"),t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)}})!==V.uiBackCompat&&V.widget("ui.droppable",V.ui.droppable,{options:{hoverClass:!1,activeClass:!1},_addActiveClass:function(){this._super(),this.options.activeClass&&this.element.addClass(this.options.activeClass)},_removeActiveClass:function(){this._super(),this.options.activeClass&&this.element.removeClass(this.options.activeClass)},_addHoverClass:function(){this._super(),this.options.hoverClass&&this.element.addClass(this.options.hoverClass)},_removeHoverClass:function(){this._super(),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass)}});V.ui.droppable,V.widget("ui.progressbar",{version:"1.13.2",options:{classes:{"ui-progressbar":"ui-corner-all","ui-progressbar-value":"ui-corner-left","ui-progressbar-complete":"ui-corner-right"},max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.attr({role:"progressbar","aria-valuemin":this.min}),this._addClass("ui-progressbar","ui-widget ui-widget-content"),this.valueDiv=V("<div>").appendTo(this.element),this._addClass(this.valueDiv,"ui-progressbar-value","ui-widget-header"),this._refreshValue()},_destroy:function(){this.element.removeAttr("role aria-valuemin aria-valuemax aria-valuenow"),this.valueDiv.remove()},value:function(t){if(void 0===t)return this.options.value;this.options.value=this._constrainedValue(t),this._refreshValue()},_constrainedValue:function(t){return void 0===t&&(t=this.options.value),this.indeterminate=!1===t,"number"!=typeof t&&(t=0),!this.indeterminate&&Math.min(this.options.max,Math.max(this.min,t))},_setOptions:function(t){var e=t.value;delete t.value,this._super(t),this.options.value=this._constrainedValue(e),this._refreshValue()},_setOption:function(t,e){"max"===t&&(e=Math.max(this.min,e)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,e=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).width(e.toFixed(0)+"%"),this._toggleClass(this.valueDiv,"ui-progressbar-complete",null,t===this.options.max)._toggleClass("ui-progressbar-indeterminate",null,this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=V("<div>").appendTo(this.valueDiv),this._addClass(this.overlayDiv,"ui-progressbar-overlay"))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),V.widget("ui.selectable",V.ui.mouse,{version:"1.13.2",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var i=this;this._addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){i.elementPos=V(i.element[0]).offset(),i.selectees=V(i.options.filter,i.element[0]),i._addClass(i.selectees,"ui-selectee"),i.selectees.each(function(){var t=V(this),e=t.offset(),e={left:e.left-i.elementPos.left,top:e.top-i.elementPos.top};V.data(this,"selectable-item",{element:this,$element:t,left:e.left,top:e.top,right:e.left+t.outerWidth(),bottom:e.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this._mouseInit(),this.helper=V("<div>"),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return l<a&&(t=l,l=a,a=t),h<r&&(t=h,h=r,r=t),this.helper.css({left:a,top:r,width:l-a,height:h-r}),this.selectees.each(function(){var t=V.data(this,"selectable-item"),e=!1,i={};t&&t.element!==n.element[0]&&(i.left=t.left+n.elementPos.left,i.right=t.right+n.elementPos.left,i.top=t.top+n.elementPos.top,i.bottom=t.bottom+n.elementPos.top,"touch"===o.tolerance?e=!(i.left>l||i.right<a||i.top>h||i.bottom<r):"fit"===o.tolerance&&(e=i.left>a&&i.right<l&&i.top>r&&i.bottom<h),e?(t.selected&&(n._removeClass(t.$element,"ui-selected"),t.selected=!1),t.unselecting&&(n._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1),t.selecting||(n._addClass(t.$element,"ui-selecting"),t.selecting=!0,n._trigger("selecting",s,{selecting:t.element}))):(t.selecting&&((s.metaKey||s.ctrlKey)&&t.startselected?(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,n._addClass(t.$element,"ui-selected"),t.selected=!0):(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,t.startselected&&(n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0),n._trigger("unselecting",s,{unselecting:t.element}))),t.selected&&(s.metaKey||s.ctrlKey||t.startselected||(n._removeClass(t.$element,"ui-selected"),t.selected=!1,n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,n._trigger("unselecting",s,{unselecting:t.element})))))}),!1}},_mouseStop:function(e){var i=this;return this.dragged=!1,V(".ui-unselecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1,t.startselected=!1,i._trigger("unselected",e,{unselected:t.element})}),V(".ui-selecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-selecting")._addClass(t.$element,"ui-selected"),t.selecting=!1,t.selected=!0,t.startselected=!0,i._trigger("selected",e,{selected:t.element})}),this._trigger("stop",e),this.helper.remove(),!1}}),V.widget("ui.selectmenu",[V.ui.formResetMixin,{version:"1.13.2",defaultElement:"<select>",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("<span>",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("<span>").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=V("<div>").append(this.menu),this._addClass(this.menuWrap,"ui-selectmenu-menu","ui-front"),this.menuWrap.appendTo(this._appendTo()),this.menuInstance=this.menu.menu({classes:{"ui-menu":"ui-corner-bottom"},role:"listbox",select:function(t,e){t.preventDefault(),i._setSelection(),i._select(e.item.data("ui-selectmenu-item"),t)},focus:function(t,e){e=e.item.data("ui-selectmenu-item");null!=i.focusIndex&&e.index!==i.focusIndex&&(i._trigger("focus",t,{item:e}),i.isOpen||i._select(e,t)),i.focusIndex=e.index,i.button.attr("aria-activedescendant",i.menuItems.eq(e.index).attr("id"))}}).menu("instance"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(this._getSelectedItem().data("ui-selectmenu-item")||{})),null===this.options.width&&this._resizeButton()},_refreshMenu:function(){var t=this.element.find("option");this.menu.empty(),this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup").find(".ui-menu-item-wrapper"),this._rendered=!0,t.length&&(t=this._getSelectedItem(),this.menuInstance.focus(null,t),this._setAria(t.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(t){this.options.disabled||(this._rendered?(this._removeClass(this.menu.find(".ui-state-active"),null,"ui-state-active"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.menuItems.length&&(this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",t)))},_position:function(){this.menuWrap.position(V.extend({of:this.button},this.options.position))},close:function(t){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",t))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderButtonItem:function(t){var e=V("<span>");return this._setText(e,t.label),this._addClass(e,"ui-selectmenu-text"),e},_renderMenu:function(s,t){var n=this,o="";V.each(t,function(t,e){var i;e.optgroup!==o&&(i=V("<li>",{text:e.optgroup}),n._addClass(i,"ui-selectmenu-optgroup","ui-menu-divider"+(e.element.parent("optgroup").prop("disabled")?" ui-state-disabled":"")),i.appendTo(s),o=e.optgroup),n._renderItemData(s,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-selectmenu-item",e)},_renderItem:function(t,e){var i=V("<li>"),s=V("<div>",{title:e.element.attr("title")});return e.disabled&&this._addClass(i,null,"ui-state-disabled"),this._setText(s,e.label),i.append(s).appendTo(t)},_setText:function(t,e){e?t.text(e):t.html("&#160;")},_move:function(t,e){var i,s=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex).parent("li"):(i=this.menuItems.eq(this.element[0].selectedIndex).parent("li"),s+=":not(.ui-state-disabled)"),(s="first"===t||"last"===t?i["first"===t?"prevAll":"nextAll"](s).eq(-1):i[t+"All"](s).eq(0)).length&&this.menuInstance.focus(e,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex).parent("li")},_toggle:function(t){this[this.isOpen?"close":"open"](t)},_setSelection:function(){var t;this.range&&(window.getSelection?((t=window.getSelection()).removeAllRanges(),t.addRange(this.range)):this.range.select(),this.button.trigger("focus"))},_documentClick:{mousedown:function(t){this.isOpen&&(V(t.target).closest(".ui-selectmenu-menu, #"+V.escapeSelector(this.ids.button)).length||this.close(t))}},_buttonEvents:{mousedown:function(){var t;window.getSelection?(t=window.getSelection()).rangeCount&&(this.range=t.getRangeAt(0)):this.range=document.selection.createRange()},click:function(t){this._setSelection(),this._toggle(t)},keydown:function(t){var e=!0;switch(t.keyCode){case V.ui.keyCode.TAB:case V.ui.keyCode.ESCAPE:this.close(t),e=!1;break;case V.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case V.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case V.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case V.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case V.ui.keyCode.LEFT:this._move("prev",t);break;case V.ui.keyCode.RIGHT:this._move("next",t);break;case V.ui.keyCode.HOME:case V.ui.keyCode.PAGE_UP:this._move("first",t);break;case V.ui.keyCode.END:case V.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),e=!1}e&&t.preventDefault()}},_selectFocusedItem:function(t){var e=this.menuItems.eq(this.focusIndex).parent("li");e.hasClass("ui-state-disabled")||this._select(e.data("ui-selectmenu-item"),t)},_select:function(t,e){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=t.index,this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(t)),this._setAria(t),this._trigger("select",e,{item:t}),t.index!==i&&this._trigger("change",e,{item:t}),this.close(e)},_setAria:function(t){t=this.menuItems.eq(t.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(t,e){var i;"icons"===t&&(i=this.button.find("span.ui-icon"),this._removeClass(i,null,this.options.icons.button)._addClass(i,null,e.button)),this._super(t,e),"appendTo"===t&&this.menuWrap.appendTo(this._appendTo()),"width"===t&&this._resizeButton()},_setOptionDisabled:function(t){this._super(t),this.menuInstance.option("disabled",t),this.button.attr("aria-disabled",t),this._toggleClass(this.button,null,"ui-state-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_toggleAttr:function(){this.button.attr("aria-expanded",this.isOpen),this._removeClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"closed":"open"))._addClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"open":"closed"))._toggleClass(this.menuWrap,"ui-selectmenu-open",null,this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var t=this.options.width;!1!==t?(null===t&&(t=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(t)):this.button.css("width","")},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){var t=this._super();return t.disabled=this.element.prop("disabled"),t},_parseOptions:function(t){var i=this,s=[];t.each(function(t,e){e.hidden||s.push(i._parseOption(V(e),t))}),this.items=s},_parseOption:function(t,e){var i=t.parent("optgroup");return{element:t,index:e,value:t.val(),label:t.text(),optgroup:i.attr("label")||"",disabled:i.prop("disabled")||t.prop("disabled")}},_destroy:function(){this._unbindFormResetHandler(),this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.labels.attr("for",this.ids.element)}}]),V.widget("ui.slider",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"slide",options:{animate:!1,classes:{"ui-slider":"ui-corner-all","ui-slider-handle":"ui-corner-all","ui-slider-range":"ui-corner-all ui-widget-header"},distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this._addClass("ui-slider ui-slider-"+this.orientation,"ui-widget ui-widget-content"),this._refresh(),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,e=this.options,i=this.element.find(".ui-slider-handle"),s=[],n=e.values&&e.values.length||1;for(i.length>n&&(i.slice(n).remove(),i=i.slice(0,n)),t=i.length;t<n;t++)s.push("<span tabindex='0'></span>");this.handles=i.add(V(s.join("")).appendTo(this.element)),this._addClass(this.handles,"ui-slider-handle","ui-state-default"),this.handle=this.handles.eq(0),this.handles.each(function(t){V(this).data("ui-slider-handle-index",t).attr("tabIndex",0)})},_createRange:function(){var t=this.options;t.range?(!0===t.range&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:Array.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?(this._removeClass(this.range,"ui-slider-range-min ui-slider-range-max"),this.range.css({left:"",bottom:""})):(this.range=V("<div>").appendTo(this.element),this._addClass(this.range,"ui-slider-range")),"min"!==t.range&&"max"!==t.range||this._addClass(this.range,"ui-slider-range-"+t.range)):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,o,e,a,r=this,l=this.options;return!l.disabled&&(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),a={x:t.pageX,y:t.pageY},i=this._normValueFromMouse(a),s=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var e=Math.abs(i-r.values(t));(e<s||s===e&&(t===r._lastChangedValue||r.values(t)===l.min))&&(s=e,n=V(this),o=t)}),!1!==this._start(t,o)&&(this._mouseSliding=!0,this._handleIndex=o,this._addClass(n,null,"ui-state-active"),n.trigger("focus"),e=n.offset(),a=!V(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=a?{left:0,top:0}:{left:t.pageX-e.left-n.width()/2,top:t.pageY-e.top-n.height()/2-(parseInt(n.css("borderTopWidth"),10)||0)-(parseInt(n.css("borderBottomWidth"),10)||0)+(parseInt(n.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,i),this._animateOff=!0))},_mouseStart:function(){return!0},_mouseDrag:function(t){var e={x:t.pageX,y:t.pageY},e=this._normValueFromMouse(e);return this._slide(t,this._handleIndex,e),!1},_mouseStop:function(t){return this._removeClass(this.handles,null,"ui-state-active"),this._mouseSliding=!1,this._stop(t,this._handleIndex),this._change(t,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(t){var e,t="horizontal"===this.orientation?(e=this.elementSize.width,t.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(e=this.elementSize.height,t.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),t=t/e;return(t=1<t?1:t)<0&&(t=0),"vertical"===this.orientation&&(t=1-t),e=this._valueMax()-this._valueMin(),e=this._valueMin()+t*e,this._trimAlignValue(e)},_uiHash:function(t,e,i){var s={handle:this.handles[t],handleIndex:t,value:void 0!==e?e:this.value()};return this._hasMultipleValues()&&(s.value=void 0!==e?e:this.values(t),s.values=i||this.values()),s},_hasMultipleValues:function(){return this.options.values&&this.options.values.length},_start:function(t,e){return this._trigger("start",t,this._uiHash(e))},_slide:function(t,e,i){var s,n=this.value(),o=this.values();this._hasMultipleValues()&&(s=this.values(e?0:1),n=this.values(e),2===this.options.values.length&&!0===this.options.range&&(i=0===e?Math.min(s,i):Math.max(s,i)),o[e]=i),i!==n&&!1!==this._trigger("slide",t,this._uiHash(e,i,o))&&(this._hasMultipleValues()?this.values(e,i):this.value(i))},_stop:function(t,e){this._trigger("stop",t,this._uiHash(e))},_change:function(t,e){this._keySliding||this._mouseSliding||(this._lastChangedValue=e,this._trigger("change",t,this._uiHash(e)))},value:function(t){return arguments.length?(this.options.value=this._trimAlignValue(t),this._refreshValue(),void this._change(null,0)):this._value()},values:function(t,e){var i,s,n;if(1<arguments.length)return this.options.values[t]=this._trimAlignValue(e),this._refreshValue(),void this._change(null,t);if(!arguments.length)return this._values();if(!Array.isArray(t))return this._hasMultipleValues()?this._values(t):this.value();for(i=this.options.values,s=t,n=0;n<i.length;n+=1)i[n]=this._trimAlignValue(s[n]),this._change(null,n);this._refreshValue()},_setOption:function(t,e){var i,s=0;switch("range"===t&&!0===this.options.range&&("min"===e?(this.options.value=this._values(0),this.options.values=null):"max"===e&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),Array.isArray(this.options.values)&&(s=this.options.values.length),this._super(t,e),t){case"orientation":this._detectOrientation(),this._removeClass("ui-slider-horizontal ui-slider-vertical")._addClass("ui-slider-"+this.orientation),this._refreshValue(),this.options.range&&this._refreshRange(e),this.handles.css("horizontal"===e?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),i=s-1;0<=i;i--)this._change(null,i);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_setOptionDisabled:function(t){this._super(t),this._toggleClass(null,"ui-state-disabled",!!t)},_value:function(){var t=this.options.value;return t=this._trimAlignValue(t)},_values:function(t){var e,i;if(arguments.length)return t=this.options.values[t],t=this._trimAlignValue(t);if(this._hasMultipleValues()){for(e=this.options.values.slice(),i=0;i<e.length;i+=1)e[i]=this._trimAlignValue(e[i]);return e}return[]},_trimAlignValue:function(t){if(t<=this._valueMin())return this._valueMin();if(t>=this._valueMax())return this._valueMax();var e=0<this.options.step?this.options.step:1,i=(t-this._valueMin())%e,t=t-i;return 2*Math.abs(i)>=e&&(t+=0<i?e:-e),parseFloat(t.toFixed(5))},_calculateNewMax:function(){var t=this.options.max,e=this._valueMin(),i=this.options.step;(t=Math.round((t-e)/i)*i+e)>this.options.max&&(t-=i),this.max=parseFloat(t.toFixed(this._precision()))},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshRange:function(t){"vertical"===t&&this.range.css({width:"",left:""}),"horizontal"===t&&this.range.css({height:"",bottom:""})},_refreshValue:function(){var e,i,t,s,n,o=this.options.range,a=this.options,r=this,l=!this._animateOff&&a.animate,h={};this._hasMultipleValues()?this.handles.each(function(t){i=(r.values(t)-r._valueMin())/(r._valueMax()-r._valueMin())*100,h["horizontal"===r.orientation?"left":"bottom"]=i+"%",V(this).stop(1,1)[l?"animate":"css"](h,a.animate),!0===r.options.range&&("horizontal"===r.orientation?(0===t&&r.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({width:i-e+"%"},{queue:!1,duration:a.animate})):(0===t&&r.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({height:i-e+"%"},{queue:!1,duration:a.animate}))),e=i}):(t=this.value(),s=this._valueMin(),n=this._valueMax(),i=n!==s?(t-s)/(n-s)*100:0,h["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](h,a.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},a.animate),"max"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:100-i+"%"},a.animate),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},a.animate),"max"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:100-i+"%"},a.animate))},_handleEvents:{keydown:function(t){var e,i,s,n=V(t.target).data("ui-slider-handle-index");switch(t.keyCode){case V.ui.keyCode.HOME:case V.ui.keyCode.END:case V.ui.keyCode.PAGE_UP:case V.ui.keyCode.PAGE_DOWN:case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,this._addClass(V(t.target),null,"ui-state-active"),!1===this._start(t,n)))return}switch(s=this.options.step,e=i=this._hasMultipleValues()?this.values(n):this.value(),t.keyCode){case V.ui.keyCode.HOME:i=this._valueMin();break;case V.ui.keyCode.END:i=this._valueMax();break;case V.ui.keyCode.PAGE_UP:i=this._trimAlignValue(e+(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.PAGE_DOWN:i=this._trimAlignValue(e-(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:if(e===this._valueMax())return;i=this._trimAlignValue(e+s);break;case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(e===this._valueMin())return;i=this._trimAlignValue(e-s)}this._slide(t,n,i)},keyup:function(t){var e=V(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,e),this._change(t,e),this._removeClass(V(t.target),null,"ui-state-active"))}}}),V.widget("ui.sortable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(t,e,i){return e<=t&&t<e+i},_isFloating:function(t){return/left|right/.test(t.css("float"))||/inline|table-cell/.test(t.css("display"))},_create:function(){this.containerCache={},this._addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(t,e){this._super(t,e),"handle"===t&&this._setHandleClassName()},_setHandleClassName:function(){var t=this;this._removeClass(this.element.find(".ui-sortable-handle"),"ui-sortable-handle"),V.each(this.items,function(){t._addClass(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item,"ui-sortable-handle")})},_destroy:function(){this._mouseDestroy();for(var t=this.items.length-1;0<=t;t--)this.items[t].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,e){var i=null,s=!1,n=this;return!this.reverting&&(!this.options.disabled&&"static"!==this.options.type&&(this._refreshItems(t),V(t.target).parents().each(function(){if(V.data(this,n.widgetName+"-item")===n)return i=V(this),!1}),!!(i=V.data(t.target,n.widgetName+"-item")===n?V(t.target):i)&&(!(this.options.handle&&!e&&(V(this.options.handle,i).find("*").addBack().each(function(){this===t.target&&(s=!0)}),!s))&&(this.currentItem=i,this._removeCurrentsFromItems(),!0))))},_mouseStart:function(t,e,i){var s,n,o=this.options;if((this.currentContainer=this).refreshPositions(),this.appendTo=V("parent"!==o.appendTo?o.appendTo:this.currentItem.parent()),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},V.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),this.scrollParent=this.placeholder.scrollParent(),V.extend(this.offset,{parent:this._getParentOffset()}),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(n=this.document.find("body"),this.storedCursor=n.css("cursor"),n.css("cursor",o.cursor),this.storedStylesheet=V("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(n)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!i)for(s=this.containers.length-1;0<=s;s--)this.containers[s]._trigger("activate",t,this._uiHash(this));return V.ui.ddmanager&&(V.ui.ddmanager.current=this),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this._addClass(this.helper,"ui-sortable-helper"),this.helper.parent().is(this.appendTo)||(this.helper.detach().appendTo(this.appendTo),this.offset.parent=this._getParentOffset()),this.position=this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,this.lastPositionAbs=this.positionAbs=this._convertPositionTo("absolute"),this._mouseDrag(t),!0},_scroll:function(t){var e=this.options,i=!1;return this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<e.scrollSensitivity?this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop+e.scrollSpeed:t.pageY-this.overflowOffset.top<e.scrollSensitivity&&(this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop-e.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<e.scrollSensitivity?this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft+e.scrollSpeed:t.pageX-this.overflowOffset.left<e.scrollSensitivity&&(this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft-e.scrollSpeed)):(t.pageY-this.document.scrollTop()<e.scrollSensitivity?i=this.document.scrollTop(this.document.scrollTop()-e.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<e.scrollSensitivity&&(i=this.document.scrollTop(this.document.scrollTop()+e.scrollSpeed)),t.pageX-this.document.scrollLeft()<e.scrollSensitivity?i=this.document.scrollLeft(this.document.scrollLeft()-e.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<e.scrollSensitivity&&(i=this.document.scrollLeft(this.document.scrollLeft()+e.scrollSpeed))),i},_mouseDrag:function(t){var e,i,s,n,o=this.options;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),o.scroll&&!1!==this._scroll(t)&&(this._refreshItemPositions(!0),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t)),this.dragDirection={vertical:this._getDragVerticalDirection(),horizontal:this._getDragHorizontalDirection()},e=this.items.length-1;0<=e;e--)if(s=(i=this.items[e]).item[0],(n=this._intersectsWithPointer(i))&&i.instance===this.currentContainer&&!(s===this.currentItem[0]||this.placeholder[1===n?"next":"prev"]()[0]===s||V.contains(this.placeholder[0],s)||"semi-dynamic"===this.options.type&&V.contains(this.element[0],s))){if(this.direction=1===n?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(i))break;this._rearrange(t,i),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),V.ui.ddmanager&&V.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,e){var i,s,n,o;if(t)return V.ui.ddmanager&&!this.options.dropBehaviour&&V.ui.ddmanager.drop(this,t),this.options.revert?(s=(i=this).placeholder.offset(),o={},(n=this.options.axis)&&"x"!==n||(o.left=s.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),n&&"y"!==n||(o.top=s.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,V(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){i._clear(t)})):this._clear(t,e),!1},cancel:function(){if(this.dragging){this._mouseUp(new V.Event("mouseup",{target:null})),"original"===this.options.helper?(this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")):this.currentItem.show();for(var t=this.containers.length-1;0<=t;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),V.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?V(this.domPosition.prev).after(this.currentItem):V(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(e){var t=this._getItemsAsjQuery(e&&e.connected),i=[];return e=e||{},V(t).each(function(){var t=(V(e.item||this).attr(e.attribute||"id")||"").match(e.expression||/(.+)[\-=_](.+)/);t&&i.push((e.key||t[1]+"[]")+"="+(e.key&&e.expression?t[1]:t[2]))}),!i.length&&e.key&&i.push(e.key+"="),i.join("&")},toArray:function(t){var e=this._getItemsAsjQuery(t&&t.connected),i=[];return t=t||{},e.each(function(){i.push(V(t.item||this).attr(t.attribute||"id")||"")}),i},_intersectsWith:function(t){var e=this.positionAbs.left,i=e+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,o=t.left,a=o+t.width,r=t.top,l=r+t.height,h=this.offset.click.top,c=this.offset.click.left,h="x"===this.options.axis||r<s+h&&s+h<l,c="y"===this.options.axis||o<e+c&&e+c<a;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>t[this.floating?"width":"height"]?h&&c:o<e+this.helperProportions.width/2&&i-this.helperProportions.width/2<a&&r<s+this.helperProportions.height/2&&n-this.helperProportions.height/2<l},_intersectsWithPointer:function(t){var e="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top,t.height),t="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left,t.width);return!(!e||!t)&&(e=this.dragDirection.vertical,t=this.dragDirection.horizontal,this.floating?"right"===t||"down"===e?2:1:e&&("down"===e?2:1))},_intersectsWithSides:function(t){var e=this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top+t.height/2,t.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left+t.width/2,t.width),s=this.dragDirection.vertical,t=this.dragDirection.horizontal;return this.floating&&t?"right"===t&&i||"left"===t&&!i:s&&("down"===s&&e||"up"===s&&!e)},_getDragVerticalDirection:function(){var t=this.positionAbs.top-this.lastPositionAbs.top;return 0!=t&&(0<t?"down":"up")},_getDragHorizontalDirection:function(){var t=this.positionAbs.left-this.lastPositionAbs.left;return 0!=t&&(0<t?"right":"left")},refresh:function(t){return this._refreshItems(t),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var t=this.options;return t.connectWith.constructor===String?[t.connectWith]:t.connectWith},_getItemsAsjQuery:function(t){var e,i,s,n,o=[],a=[],r=this._connectWith();if(r&&t)for(e=r.length-1;0<=e;e--)for(i=(s=V(r[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&a.push(["function"==typeof n.options.items?n.options.items.call(n.element):V(n.options.items,n.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),n]);function l(){o.push(this)}for(a.push(["function"==typeof this.options.items?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):V(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),e=a.length-1;0<=e;e--)a[e][0].each(l);return V(o)},_removeCurrentsFromItems:function(){var i=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=V.grep(this.items,function(t){for(var e=0;e<i.length;e++)if(i[e]===t.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var e,i,s,n,o,a,r,l,h=this.items,c=[["function"==typeof this.options.items?this.options.items.call(this.element[0],t,{item:this.currentItem}):V(this.options.items,this.element),this]],u=this._connectWith();if(u&&this.ready)for(e=u.length-1;0<=e;e--)for(i=(s=V(u[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&(c.push(["function"==typeof n.options.items?n.options.items.call(n.element[0],t,{item:this.currentItem}):V(n.options.items,n.element),n]),this.containers.push(n));for(e=c.length-1;0<=e;e--)for(o=c[e][1],l=(a=c[e][i=0]).length;i<l;i++)(r=V(a[i])).data(this.widgetName+"-item",o),h.push({item:r,instance:o,width:0,height:0,left:0,top:0})},_refreshItemPositions:function(t){for(var e,i,s=this.items.length-1;0<=s;s--)e=this.items[s],this.currentContainer&&e.instance!==this.currentContainer&&e.item[0]!==this.currentItem[0]||(i=this.options.toleranceElement?V(this.options.toleranceElement,e.item):e.item,t||(e.width=i.outerWidth(),e.height=i.outerHeight()),i=i.offset(),e.left=i.left,e.top=i.top)},refreshPositions:function(t){var e,i;if(this.floating=!!this.items.length&&("x"===this.options.axis||this._isFloating(this.items[0].item)),this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset()),this._refreshItemPositions(t),this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(e=this.containers.length-1;0<=e;e--)i=this.containers[e].element.offset(),this.containers[e].containerCache.left=i.left,this.containers[e].containerCache.top=i.top,this.containers[e].containerCache.width=this.containers[e].element.outerWidth(),this.containers[e].containerCache.height=this.containers[e].element.outerHeight();return this},_createPlaceholder:function(i){var s,n,o=(i=i||this).options;o.placeholder&&o.placeholder.constructor!==String||(s=o.placeholder,n=i.currentItem[0].nodeName.toLowerCase(),o.placeholder={element:function(){var t=V("<"+n+">",i.document[0]);return i._addClass(t,"ui-sortable-placeholder",s||i.currentItem[0].className)._removeClass(t,"ui-sortable-helper"),"tbody"===n?i._createTrPlaceholder(i.currentItem.find("tr").eq(0),V("<tr>",i.document[0]).appendTo(t)):"tr"===n?i._createTrPlaceholder(i.currentItem,t):"img"===n&&t.attr("src",i.currentItem.attr("src")),s||t.css("visibility","hidden"),t},update:function(t,e){s&&!o.forcePlaceholderSize||(e.height()&&(!o.forcePlaceholderSize||"tbody"!==n&&"tr"!==n)||e.height(i.currentItem.innerHeight()-parseInt(i.currentItem.css("paddingTop")||0,10)-parseInt(i.currentItem.css("paddingBottom")||0,10)),e.width()||e.width(i.currentItem.innerWidth()-parseInt(i.currentItem.css("paddingLeft")||0,10)-parseInt(i.currentItem.css("paddingRight")||0,10)))}}),i.placeholder=V(o.placeholder.element.call(i.element,i.currentItem)),i.currentItem.after(i.placeholder),o.placeholder.update(i,i.placeholder)},_createTrPlaceholder:function(t,e){var i=this;t.children().each(function(){V("<td>&#160;</td>",i.document[0]).attr("colspan",V(this).attr("colspan")||1).appendTo(e)})},_contactContainers:function(t){for(var e,i,s,n,o,a,r,l,h,c=null,u=null,d=this.containers.length-1;0<=d;d--)V.contains(this.currentItem[0],this.containers[d].element[0])||(this._intersectsWith(this.containers[d].containerCache)?c&&V.contains(this.containers[d].element[0],c.element[0])||(c=this.containers[d],u=d):this.containers[d].containerCache.over&&(this.containers[d]._trigger("out",t,this._uiHash(this)),this.containers[d].containerCache.over=0));if(c)if(1===this.containers.length)this.containers[u].containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1);else{for(i=1e4,s=null,n=(l=c.floating||this._isFloating(this.currentItem))?"left":"top",o=l?"width":"height",h=l?"pageX":"pageY",e=this.items.length-1;0<=e;e--)V.contains(this.containers[u].element[0],this.items[e].item[0])&&this.items[e].item[0]!==this.currentItem[0]&&(a=this.items[e].item.offset()[n],r=!1,t[h]-a>this.items[e][o]/2&&(r=!0),Math.abs(t[h]-a)<i&&(i=Math.abs(t[h]-a),s=this.items[e],this.direction=r?"up":"down"));(s||this.options.dropOnEmpty)&&(this.currentContainer!==this.containers[u]?(s?this._rearrange(t,s,null,!0):this._rearrange(t,null,this.containers[u].element,!0),this._trigger("change",t,this._uiHash()),this.containers[u]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[u],this.options.placeholder.update(this.currentContainer,this.placeholder),this.scrollParent=this.placeholder.scrollParent(),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1):this.currentContainer.containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1))}},_createHelper:function(t){var e=this.options,t="function"==typeof e.helper?V(e.helper.apply(this.element[0],[t,this.currentItem])):"clone"===e.helper?this.currentItem.clone():this.currentItem;return t.parents("body").length||this.appendTo[0].appendChild(t[0]),t[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),t[0].style.width&&!e.forceHelperSize||t.width(this.currentItem.width()),t[0].style.height&&!e.forceHelperSize||t.height(this.currentItem.height()),t},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),"left"in(t=Array.isArray(t)?{left:+t[0],top:+t[1]||0}:t)&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),{top:(t=this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&V.ui.ie?{top:0,left:0}:t).top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var t=this.currentItem.position();return{top:t.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:t.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,e,i=this.options;"parent"===i.containment&&(i.containment=this.helper[0].parentNode),"document"!==i.containment&&"window"!==i.containment||(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===i.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===i.containment?this.document.height()||document.body.parentNode.scrollHeight:this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(i.containment)||(t=V(i.containment)[0],e=V(i.containment).offset(),i="hidden"!==V(t).css("overflow"),this.containment=[e.left+(parseInt(V(t).css("borderLeftWidth"),10)||0)+(parseInt(V(t).css("paddingLeft"),10)||0)-this.margins.left,e.top+(parseInt(V(t).css("borderTopWidth"),10)||0)+(parseInt(V(t).css("paddingTop"),10)||0)-this.margins.top,e.left+(i?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(V(t).css("borderLeftWidth"),10)||0)-(parseInt(V(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,e.top+(i?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(V(t).css("borderTopWidth"),10)||0)-(parseInt(V(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,s="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,t=/(html|body)/i.test(s[0].tagName);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():t?0:s.scrollTop())*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():t?0:s.scrollLeft())*i}},_generatePosition:function(t){var e=this.options,i=t.pageX,s=t.pageY,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,o=/(html|body)/i.test(n[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(i=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(s=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(i=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(s=this.containment[3]+this.offset.click.top)),e.grid&&(t=this.originalPageY+Math.round((s-this.originalPageY)/e.grid[1])*e.grid[1],s=!this.containment||t-this.offset.click.top>=this.containment[1]&&t-this.offset.click.top<=this.containment[3]?t:t-this.offset.click.top>=this.containment[1]?t-e.grid[1]:t+e.grid[1],t=this.originalPageX+Math.round((i-this.originalPageX)/e.grid[0])*e.grid[0],i=!this.containment||t-this.offset.click.left>=this.containment[0]&&t-this.offset.click.left<=this.containment[2]?t:t-this.offset.click.left>=this.containment[0]?t-e.grid[0]:t+e.grid[0])),{top:s-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():o?0:n.scrollTop()),left:i-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():o?0:n.scrollLeft())}},_rearrange:function(t,e,i,s){i?i[0].appendChild(this.placeholder[0]):e.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?e.item[0]:e.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(t,e){this.reverting=!1;var i,s=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(i in this._storedCSS)"auto"!==this._storedCSS[i]&&"static"!==this._storedCSS[i]||(this._storedCSS[i]="");this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")}else this.currentItem.show();function n(e,i,s){return function(t){s._trigger(e,t,i._uiHash(i))}}for(this.fromOutside&&!e&&s.push(function(t){this._trigger("receive",t,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||e||s.push(function(t){this._trigger("update",t,this._uiHash())}),this!==this.currentContainer&&(e||(s.push(function(t){this._trigger("remove",t,this._uiHash())}),s.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),s.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),i=this.containers.length-1;0<=i;i--)e||s.push(n("deactivate",this,this.containers[i])),this.containers[i].containerCache.over&&(s.push(n("out",this,this.containers[i])),this.containers[i].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,e||this._trigger("beforeStop",t,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!e){for(i=0;i<s.length;i++)s[i].call(this,t);this._trigger("stop",t,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){!1===V.Widget.prototype._trigger.apply(this,arguments)&&this.cancel()},_uiHash:function(t){var e=t||this;return{helper:e.helper,placeholder:e.placeholder||V([]),position:e.position,originalPosition:e.originalPosition,offset:e.positionAbs,item:e.currentItem,sender:t?t.element:null}}});function ht(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}V.widget("ui.spinner",{version:"1.13.2",defaultElement:"<input>",widgetEventPrefix:"spin",options:{classes:{"ui-spinner":"ui-corner-all","ui-spinner-down":"ui-corner-br","ui-spinner-up":"ui-corner-tr"},culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var s=this._super(),n=this.element;return V.each(["min","max","step"],function(t,e){var i=n.attr(e);null!=i&&i.length&&(s[e]=i)}),s},_events:{keydown:function(t){this._start(t)&&this._keydown(t)&&t.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(t){this.cancelBlur?delete this.cancelBlur:(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",t))},mousewheel:function(t,e){var i=V.ui.safeActiveElement(this.document[0]);if(this.element[0]===i&&e){if(!this.spinning&&!this._start(t))return!1;this._spin((0<e?1:-1)*this.options.step,t),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(t)},100),t.preventDefault()}},"mousedown .ui-spinner-button":function(t){var e;function i(){this.element[0]===V.ui.safeActiveElement(this.document[0])||(this.element.trigger("focus"),this.previous=e,this._delay(function(){this.previous=e}))}e=this.element[0]===V.ui.safeActiveElement(this.document[0])?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),!1!==this._start(t)&&this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){if(V(t.currentTarget).hasClass("ui-state-active"))return!1!==this._start(t)&&void this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseleave .ui-spinner-button":"_stop"},_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap("<span>").parent().append("<a></a><a></a>")},_draw:function(){this._enhance(),this._addClass(this.uiSpinner,"ui-spinner","ui-widget ui-widget-content"),this._addClass("ui-spinner-input"),this.element.attr("role","spinbutton"),this.buttons=this.uiSpinner.children("a").attr("tabIndex",-1).attr("aria-hidden",!0).button({classes:{"ui-button":""}}),this._removeClass(this.buttons,"ui-corner-all"),this._addClass(this.buttons.first(),"ui-spinner-button ui-spinner-up"),this._addClass(this.buttons.last(),"ui-spinner-button ui-spinner-down"),this.buttons.first().button({icon:this.options.icons.up,showLabel:!1}),this.buttons.last().button({icon:this.options.icons.down,showLabel:!1}),this.buttons.height()>Math.ceil(.5*this.uiSpinner.height())&&0<this.uiSpinner.height()&&this.uiSpinner.height(this.uiSpinner.height())},_keydown:function(t){var e=this.options,i=V.ui.keyCode;switch(t.keyCode){case i.UP:return this._repeat(null,1,t),!0;case i.DOWN:return this._repeat(null,-1,t),!0;case i.PAGE_UP:return this._repeat(null,e.page,t),!0;case i.PAGE_DOWN:return this._repeat(null,-e.page,t),!0}return!1},_start:function(t){return!(!this.spinning&&!1===this._trigger("start",t))&&(this.counter||(this.counter=1),this.spinning=!0)},_repeat:function(t,e,i){t=t||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,e,i)},t),this._spin(e*this.options.step,i)},_spin:function(t,e){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+t*this._increment(this.counter)),this.spinning&&!1===this._trigger("spin",e,{value:i})||(this._value(i),this.counter++)},_increment:function(t){var e=this.options.incremental;return e?"function"==typeof e?e(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_adjustValue:function(t){var e=this.options,i=null!==e.min?e.min:0,s=t-i;return t=i+Math.round(s/e.step)*e.step,t=parseFloat(t.toFixed(this._precision())),null!==e.max&&t>e.max?e.max:null!==e.min&&t<e.min?e.min:t},_stop:function(t){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",t))},_setOption:function(t,e){var i;if("culture"===t||"numberFormat"===t)return i=this._parse(this.element.val()),this.options[t]=e,void this.element.val(this._format(i));"max"!==t&&"min"!==t&&"step"!==t||"string"==typeof e&&(e=this._parse(e)),"icons"===t&&(i=this.buttons.first().find(".ui-icon"),this._removeClass(i,null,this.options.icons.up),this._addClass(i,null,e.up),i=this.buttons.last().find(".ui-icon"),this._removeClass(i,null,this.options.icons.down),this._addClass(i,null,e.down)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this._toggleClass(this.uiSpinner,null,"ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable")},_setOptions:ht(function(t){this._super(t)}),_parse:function(t){return""===(t="string"==typeof 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aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:ht(function(t){this._stepUp(t)}),_stepUp:function(t){this._start()&&(this._spin((t||1)*this.options.step),this._stop())},stepDown:ht(function(t){this._stepDown(t)}),_stepDown:function(t){this._start()&&(this._spin((t||1)*-this.options.step),this._stop())},pageUp:ht(function(t){this._stepUp((t||1)*this.options.page)}),pageDown:ht(function(t){this._stepDown((t||1)*this.options.page)}),value:function(t){if(!arguments.length)return this._parse(this.element.val());ht(this._value).call(this,t)},widget:function(){return this.uiSpinner}}),!1!==V.uiBackCompat&&V.widget("ui.spinner",V.ui.spinner,{_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml())},_uiSpinnerHtml:function(){return"<span>"},_buttonHtml:function(){return"<a></a><a></a>"}});var 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t.altKey&&t.keyCode===V.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===V.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,e){var i=this.tabs.length-1;for(;-1!==V.inArray(t=(t=i<t?0:t)<0?i:t,this.options.disabled);)t=e?t+1:t-1;return t},_focusNextTab:function(t,e){return t=this._findNextTab(t,e),this.tabs.eq(t).trigger("focus"),t},_setOption:function(t,e){"active"!==t?(this._super(t,e),"collapsible"===t&&(this._toggleClass("ui-tabs-collapsible",null,e),e||!1!==this.options.active||this._activate(0)),"event"===t&&this._setupEvents(e),"heightStyle"===t&&this._setupHeightStyle(e)):this._activate(e)},_sanitizeSelector:function(t){return t?t.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,e=this.tablist.children(":has(a[href])");t.disabled=V.map(e.filter(".ui-state-disabled"),function(t){return e.index(t)}),this._processTabs(),!1!==t.active&&this.anchors.length?this.active.length&&!V.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=V()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=V()),this._refresh()},_refresh:function(){this._setOptionDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._addClass(this.active,"ui-tabs-active","ui-state-active"),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var l=this,t=this.tabs,e=this.anchors,i=this.panels;this.tablist=this._getList().attr("role","tablist"),this._addClass(this.tablist,"ui-tabs-nav","ui-helper-reset ui-helper-clearfix ui-widget-header"),this.tablist.on("mousedown"+this.eventNamespace,"> li",function(t){V(this).is(".ui-state-disabled")&&t.preventDefault()}).on("focus"+this.eventNamespace,".ui-tabs-anchor",function(){V(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").attr({role:"tab",tabIndex:-1}),this._addClass(this.tabs,"ui-tabs-tab","ui-state-default"),this.anchors=this.tabs.map(function(){return V("a",this)[0]}).attr({tabIndex:-1}),this._addClass(this.anchors,"ui-tabs-anchor"),this.panels=V(),this.anchors.each(function(t,e){var i,s,n,o=V(e).uniqueId().attr("id"),a=V(e).closest("li"),r=a.attr("aria-controls");l._isLocal(e)?(n=(i=e.hash).substring(1),s=l.element.find(l._sanitizeSelector(i))):(n=a.attr("aria-controls")||V({}).uniqueId()[0].id,(s=l.element.find(i="#"+n)).length||(s=l._createPanel(n)).insertAfter(l.panels[t-1]||l.tablist),s.attr("aria-live","polite")),s.length&&(l.panels=l.panels.add(s)),r&&a.data("ui-tabs-aria-controls",r),a.attr({"aria-controls":n,"aria-labelledby":o}),s.attr("aria-labelledby",o)}),this.panels.attr("role","tabpanel"),this._addClass(this.panels,"ui-tabs-panel","ui-widget-content"),t&&(this._off(t.not(this.tabs)),this._off(e.not(this.anchors)),this._off(i.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol, ul").eq(0)},_createPanel:function(t){return V("<div>").attr("id",t).data("ui-tabs-destroy",!0)},_setOptionDisabled:function(t){var e,i;for(Array.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1),i=0;e=this.tabs[i];i++)e=V(e),!0===t||-1!==V.inArray(i,t)?(e.attr("aria-disabled","true"),this._addClass(e,null,"ui-state-disabled")):(e.removeAttr("aria-disabled"),this._removeClass(e,null,"ui-state-disabled"));this.options.disabled=t,this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!0===t)},_setupEvents:function(t){var i={};t&&V.each(t.split(" "),function(t,e){i[e]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(t){t.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,e=this.element.parent();"fill"===t?(i=e.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=V(this).outerHeight(!0)}),this.panels.each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,V(this).height("").height())}).height(i))},_eventHandler:function(t){var e=this.options,i=this.active,s=V(t.currentTarget).closest("li"),n=s[0]===i[0],o=n&&e.collapsible,a=o?V():this._getPanelForTab(s),r=i.length?this._getPanelForTab(i):V(),i={oldTab:i,oldPanel:r,newTab:o?V():s,newPanel:a};t.preventDefault(),s.hasClass("ui-state-disabled")||s.hasClass("ui-tabs-loading")||this.running||n&&!e.collapsible||!1===this._trigger("beforeActivate",t,i)||(e.active=!o&&this.tabs.index(s),this.active=n?V():s,this.xhr&&this.xhr.abort(),r.length||a.length||V.error("jQuery UI Tabs: Mismatching fragment identifier."),a.length&&this.load(this.tabs.index(s),t),this._toggle(t,i))},_toggle:function(t,e){var i=this,s=e.newPanel,n=e.oldPanel;function o(){i.running=!1,i._trigger("activate",t,e)}function a(){i._addClass(e.newTab.closest("li"),"ui-tabs-active","ui-state-active"),s.length&&i.options.show?i._show(s,i.options.show,o):(s.show(),o())}this.running=!0,n.length&&this.options.hide?this._hide(n,this.options.hide,function(){i._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),a()}):(this._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),n.hide(),a()),n.attr("aria-hidden","true"),e.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),s.length&&n.length?e.oldTab.attr("tabIndex",-1):s.length&&this.tabs.filter(function(){return 0===V(this).attr("tabIndex")}).attr("tabIndex",-1),s.attr("aria-hidden","false"),e.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var t=this._findActive(t);t[0]!==this.active[0]&&(t=(t=!t.length?this.active:t).find(".ui-tabs-anchor")[0],this._eventHandler({target:t,currentTarget:t,preventDefault:V.noop}))},_findActive:function(t){return!1===t?V():this.tabs.eq(t)},_getIndex:function(t){return t="string"==typeof t?this.anchors.index(this.anchors.filter("[href$='"+V.escapeSelector(t)+"']")):t},_destroy:function(){this.xhr&&this.xhr.abort(),this.tablist.removeAttr("role").off(this.eventNamespace),this.anchors.removeAttr("role tabIndex").removeUniqueId(),this.tabs.add(this.panels).each(function(){V.data(this,"ui-tabs-destroy")?V(this).remove():V(this).removeAttr("role tabIndex aria-live aria-busy aria-selected aria-labelledby aria-hidden aria-expanded")}),this.tabs.each(function(){var t=V(this),e=t.data("ui-tabs-aria-controls");e?t.attr("aria-controls",e).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(i){var t=this.options.disabled;!1!==t&&(t=void 0!==i&&(i=this._getIndex(i),Array.isArray(t)?V.map(t,function(t){return t!==i?t:null}):V.map(this.tabs,function(t,e){return e!==i?e:null})),this._setOptionDisabled(t))},disable:function(t){var e=this.options.disabled;if(!0!==e){if(void 0===t)e=!0;else{if(t=this._getIndex(t),-1!==V.inArray(t,e))return;e=Array.isArray(e)?V.merge([t],e).sort():[t]}this._setOptionDisabled(e)}},load:function(t,s){t=this._getIndex(t);function n(t,e){"abort"===e&&o.panels.stop(!1,!0),o._removeClass(i,"ui-tabs-loading"),a.removeAttr("aria-busy"),t===o.xhr&&delete o.xhr}var o=this,i=this.tabs.eq(t),t=i.find(".ui-tabs-anchor"),a=this._getPanelForTab(i),r={tab:i,panel:a};this._isLocal(t[0])||(this.xhr=V.ajax(this._ajaxSettings(t,s,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(this._addClass(i,"ui-tabs-loading"),a.attr("aria-busy","true"),this.xhr.done(function(t,e,i){setTimeout(function(){a.html(t),o._trigger("load",s,r),n(i,e)},1)}).fail(function(t,e){setTimeout(function(){n(t,e)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href").replace(/#.*$/,""),beforeSend:function(t,e){return n._trigger("beforeLoad",i,V.extend({jqXHR:t,ajaxSettings:e},s))}}},_getPanelForTab:function(t){t=V(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+t))}}),!1!==V.uiBackCompat&&V.widget("ui.tabs",V.ui.tabs,{_processTabs:function(){this._superApply(arguments),this._addClass(this.tabs,"ui-tab")}});V.ui.tabs;V.widget("ui.tooltip",{version:"1.13.2",options:{classes:{"ui-tooltip":"ui-corner-all ui-widget-shadow"},content:function(){var t=V(this).attr("title");return V("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,track:!1,close:null,open:null},_addDescribedBy:function(t,e){var i=(t.attr("aria-describedby")||"").split(/\s+/);i.push(e),t.data("ui-tooltip-id",e).attr("aria-describedby",String.prototype.trim.call(i.join(" ")))},_removeDescribedBy:function(t){var e=t.data("ui-tooltip-id"),i=(t.attr("aria-describedby")||"").split(/\s+/),e=V.inArray(e,i);-1!==e&&i.splice(e,1),t.removeData("ui-tooltip-id"),(i=String.prototype.trim.call(i.join(" ")))?t.attr("aria-describedby",i):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.liveRegion=V("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this.disabledTitles=V([])},_setOption:function(t,e){var i=this;this._super(t,e),"content"===t&&V.each(this.tooltips,function(t,e){i._updateContent(e.element)})},_setOptionDisabled:function(t){this[t?"_disable":"_enable"]()},_disable:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur");i.target=i.currentTarget=e.element[0],s.close(i,!0)}),this.disabledTitles=this.disabledTitles.add(this.element.find(this.options.items).addBack().filter(function(){var t=V(this);if(t.is("[title]"))return t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")}))},_enable:function(){this.disabledTitles.each(function(){var t=V(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))}),this.disabledTitles=V([])},open:function(t){var i=this,e=V(t?t.target:this.element).closest(this.options.items);e.length&&!e.data("ui-tooltip-id")&&(e.attr("title")&&e.data("ui-tooltip-title",e.attr("title")),e.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&e.parents().each(function(){var t,e=V(this);e.data("ui-tooltip-open")&&((t=V.Event("blur")).target=t.currentTarget=this,i.close(t,!0)),e.attr("title")&&(e.uniqueId(),i.parents[this.id]={element:this,title:e.attr("title")},e.attr("title",""))}),this._registerCloseHandlers(t,e),this._updateContent(e,t))},_updateContent:function(e,i){var t=this.options.content,s=this,n=i?i.type:null;if("string"==typeof t||t.nodeType||t.jquery)return this._open(i,e,t);(t=t.call(e[0],function(t){s._delay(function(){e.data("ui-tooltip-open")&&(i&&(i.type=n),this._open(i,e,t))})}))&&this._open(i,e,t)},_open:function(t,e,i){var s,n,o,a=V.extend({},this.options.position);function r(t){a.of=t,n.is(":hidden")||n.position(a)}i&&((s=this._find(e))?s.tooltip.find(".ui-tooltip-content").html(i):(e.is("[title]")&&(t&&"mouseover"===t.type?e.attr("title",""):e.removeAttr("title")),s=this._tooltip(e),n=s.tooltip,this._addDescribedBy(e,n.attr("id")),n.find(".ui-tooltip-content").html(i),this.liveRegion.children().hide(),(i=V("<div>").html(n.find(".ui-tooltip-content").html())).removeAttr("name").find("[name]").removeAttr("name"),i.removeAttr("id").find("[id]").removeAttr("id"),i.appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:r}),r(t)):n.position(V.extend({of:e},this.options.position)),n.hide(),this._show(n,this.options.show),this.options.track&&this.options.show&&this.options.show.delay&&(o=this.delayedShow=setInterval(function(){n.is(":visible")&&(r(a.of),clearInterval(o))},13)),this._trigger("open",t,{tooltip:n})))},_registerCloseHandlers:function(t,e){var i={keyup:function(t){t.keyCode===V.ui.keyCode.ESCAPE&&((t=V.Event(t)).currentTarget=e[0],this.close(t,!0))}};e[0]!==this.element[0]&&(i.remove=function(){var t=this._find(e);t&&this._removeTooltip(t.tooltip)}),t&&"mouseover"!==t.type||(i.mouseleave="close"),t&&"focusin"!==t.type||(i.focusout="close"),this._on(!0,e,i)},close:function(t){var e,i=this,s=V(t?t.currentTarget:this.element),n=this._find(s);n?(e=n.tooltip,n.closing||(clearInterval(this.delayedShow),s.data("ui-tooltip-title")&&!s.attr("title")&&s.attr("title",s.data("ui-tooltip-title")),this._removeDescribedBy(s),n.hiding=!0,e.stop(!0),this._hide(e,this.options.hide,function(){i._removeTooltip(V(this))}),s.removeData("ui-tooltip-open"),this._off(s,"mouseleave focusout keyup"),s[0]!==this.element[0]&&this._off(s,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&V.each(this.parents,function(t,e){V(e.element).attr("title",e.title),delete i.parents[t]}),n.closing=!0,this._trigger("close",t,{tooltip:e}),n.hiding||(n.closing=!1))):s.removeData("ui-tooltip-open")},_tooltip:function(t){var e=V("<div>").attr("role","tooltip"),i=V("<div>").appendTo(e),s=e.uniqueId().attr("id");return this._addClass(i,"ui-tooltip-content"),this._addClass(e,"ui-tooltip","ui-widget ui-widget-content"),e.appendTo(this._appendTo(t)),this.tooltips[s]={element:t,tooltip:e}},_find:function(t){t=t.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(t){clearInterval(this.delayedShow),t.remove(),delete this.tooltips[t.attr("id")]},_appendTo:function(t){t=t.closest(".ui-front, dialog");return t=!t.length?this.document[0].body:t},_destroy:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur"),e=e.element;i.target=i.currentTarget=e[0],s.close(i,!0),V("#"+t).remove(),e.data("ui-tooltip-title")&&(e.attr("title")||e.attr("title",e.data("ui-tooltip-title")),e.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}}),!1!==V.uiBackCompat&&V.widget("ui.tooltip",V.ui.tooltip,{options:{tooltipClass:null},_tooltip:function(){var t=this._superApply(arguments);return this.options.tooltipClass&&t.tooltip.addClass(this.options.tooltipClass),t}});V.ui.tooltip});</script>
<style type="text/css">
.tocify {
width: 20%;
max-height: 90%;
overflow: auto;
margin-left: 2%;
position: fixed;
border: 1px solid #ccc;
border-radius: 6px;
}
.tocify ul, .tocify li {
list-style: none;
margin: 0;
padding: 0;
border: none;
line-height: 30px;
}
.tocify-header {
text-indent: 10px;
}
.tocify-subheader {
text-indent: 20px;
display: none;
}
.tocify-subheader li {
font-size: 12px;
}
.tocify-subheader .tocify-subheader {
text-indent: 30px;
}
.tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 40px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 50px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 60px;
}
.tocify .tocify-item > a, .tocify .nav-list .nav-header {
margin: 0px;
}
.tocify .tocify-item a, .tocify .list-group-item {
padding: 5px;
}
.tocify .nav-pills > li {
float: none;
}
</style>
<script>/* jquery Tocify - v1.9.1 - 2013-10-22
* http://www.gregfranko.com/jquery.tocify.js/
* Copyright (c) 2013 Greg Franko; Licensed MIT */
// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic. I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
(function(tocify) {
// ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
"use strict";
// Calls the second IIFE and locally passes in the global jQuery, window, and document objects
tocify(window.jQuery, window, document);
}
// Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable. The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set. All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
(function($, window, document, undefined) {
// ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
"use strict";
var tocClassName = "tocify",
tocClass = "." + tocClassName,
tocFocusClassName = "tocify-focus",
tocHoverClassName = "tocify-hover",
hideTocClassName = "tocify-hide",
hideTocClass = "." + hideTocClassName,
headerClassName = "tocify-header",
headerClass = "." + headerClassName,
subheaderClassName = "tocify-subheader",
subheaderClass = "." + subheaderClassName,
itemClassName = "tocify-item",
itemClass = "." + itemClassName,
extendPageClassName = "tocify-extend-page",
extendPageClass = "." + extendPageClassName;
// Calling the jQueryUI Widget Factory Method
$.widget("toc.tocify", {
//Plugin version
version: "1.9.1",
// These options will be used as defaults
options: {
// **context**: Accepts String: Any jQuery selector
// The container element that holds all of the elements used to generate the table of contents
context: "body",
// **ignoreSelector**: Accepts String: Any jQuery selector
// A selector to any element that would be matched by selectors that you wish to be ignored
ignoreSelector: null,
// **selectors**: Accepts an Array of Strings: Any jQuery selectors
// The element's used to generate the table of contents. The order is very important since it will determine the table of content's nesting structure
selectors: "h1, h2, h3",
// **showAndHide**: Accepts a boolean: true or false
// Used to determine if elements should be shown and hidden
showAndHide: true,
// **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
// Used to display any of the table of contents nested items
showEffect: "slideDown",
// **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
// The time duration of the show animation
showEffectSpeed: "medium",
// **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
// Used to hide any of the table of contents nested items
hideEffect: "slideUp",
// **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
// The time duration of the hide animation
hideEffectSpeed: "medium",
// **smoothScroll**: Accepts a boolean: true or false
// Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
smoothScroll: true,
// **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
// The time duration of the smoothScroll animation
smoothScrollSpeed: "medium",
// **scrollTo**: Accepts Number (pixels)
// The amount of space between the top of page and the selected table of contents item after the page has been scrolled
scrollTo: 0,
// **showAndHideOnScroll**: Accepts a boolean: true or false
// Determines if table of contents nested items should be shown and hidden while scrolling
showAndHideOnScroll: true,
// **highlightOnScroll**: Accepts a boolean: true or false
// Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
highlightOnScroll: true,
// **highlightOffset**: Accepts a number
// The offset distance in pixels to trigger the next active table of contents item
highlightOffset: 40,
// **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
// Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
theme: "bootstrap",
// **extendPage**: Accepts a boolean: true or false
// If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
extendPage: true,
// **extendPageOffset**: Accepts a number: pixels
// How close to the bottom of the page a user must scroll before the page is extended
extendPageOffset: 100,
// **history**: Accepts a boolean: true or false
// Adds a hash to the page url to maintain history
history: true,
// **scrollHistory**: Accepts a boolean: true or false
// Adds a hash to the page url, to maintain history, when scrolling to a TOC item
scrollHistory: false,
// **hashGenerator**: How the hash value (the anchor segment of the URL, following the
// # character) will be generated.
//
// "compact" (default) - #CompressesEverythingTogether
// "pretty" - #looks-like-a-nice-url-and-is-easily-readable
// function(text, element){} - Your own hash generation function that accepts the text as an
// argument, and returns the hash value.
hashGenerator: "compact",
// **highlightDefault**: Accepts a boolean: true or false
// Set's the first TOC item as active if no other TOC item is active.
highlightDefault: true
},
// _Create
// -------
// Constructs the plugin. Only called once.
_create: function() {
var self = this;
self.extendPageScroll = true;
// Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
self.items = [];
// Generates the HTML for the dynamic table of contents
self._generateToc();
// Adds CSS classes to the newly generated table of contents HTML
self._addCSSClasses();
self.webkit = (function() {
for (var prop in window) {
if (prop) {
if (prop.toLowerCase().indexOf("webkit") !== -1) {
return true;
}
}
}
return false;
}());
// Adds jQuery event handlers to the newly generated table of contents
self._setEventHandlers();
// Binding to the Window load event to make sure the correct scrollTop is calculated
$(window).on("load", function() {
// Sets the active TOC item
self._setActiveElement(true);
// Once all animations on the page are complete, this callback function will be called
$("html, body").promise().done(function() {
setTimeout(function() {
self.extendPageScroll = false;
}, 0);
});
});
},
// _generateToc
// ------------
// Generates the HTML for the dynamic table of contents
_generateToc: function() {
// _Local variables_
// Stores the plugin context in the self variable
var self = this,
// All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
firstElem,
// Instantiated variable that will store the top level newly created unordered list DOM element
ul,
ignoreSelector = self.options.ignoreSelector;
// Determine the element to start the toc with
// get all the top level selectors
firstElem = [];
var selectors = this.options.selectors.replace(/ /g, "").split(",");
// find the first set that have at least one non-ignored element
for(var i = 0; i < selectors.length; i++) {
var foundSelectors = $(this.options.context).find(selectors[i]);
for (var s = 0; s < foundSelectors.length; s++) {
if (!$(foundSelectors[s]).is(ignoreSelector)) {
firstElem = foundSelectors;
break;
}
}
if (firstElem.length> 0)
break;
}
if (!firstElem.length) {
self.element.addClass(hideTocClassName);
return;
}
self.element.addClass(tocClassName);
// Loops through each top level selector
firstElem.each(function(index) {
//If the element matches the ignoreSelector then we skip it
if ($(this).is(ignoreSelector)) {
return;
}
// Creates an unordered list HTML element and adds a dynamic ID and standard class name
ul = $("<ul/>", {
"id": headerClassName + index,
"class": headerClassName
}).
// Appends a top level list item HTML element to the previously created HTML header
append(self._nestElements($(this), index));
// Add the created unordered list element to the HTML element calling the plugin
self.element.append(ul);
// Finds all of the HTML tags between the header and subheader elements
$(this).nextUntil(this.nodeName.toLowerCase()).each(function() {
// If there are no nested subheader elemements
if ($(this).find(self.options.selectors).length === 0) {
// Loops through all of the subheader elements
$(this).filter(self.options.selectors).each(function() {
//If the element matches the ignoreSelector then we skip it
if ($(this).is(ignoreSelector)) {
return;
}
self._appendSubheaders.call(this, self, ul);
});
}
// If there are nested subheader elements
else {
// Loops through all of the subheader elements
$(this).find(self.options.selectors).each(function() {
//If the element matches the ignoreSelector then we skip it
if ($(this).is(ignoreSelector)) {
return;
}
self._appendSubheaders.call(this, self, ul);
});
}
});
});
},
_setActiveElement: function(pageload) {
var self = this,
hash = window.location.hash.substring(1),
elem = self.element.find('li[data-unique="' + hash + '"]');
if (hash.length) {
// Removes highlighting from all of the list item's
self.element.find("." + self.focusClass).removeClass(self.focusClass);
// Highlights the current list item that was clicked
elem.addClass(self.focusClass);
// Triggers the click event on the currently focused TOC item
elem.click();
} else {
// Removes highlighting from all of the list item's
self.element.find("." + self.focusClass).removeClass(self.focusClass);
if (!hash.length && pageload && self.options.highlightDefault) {
// Highlights the first TOC item if no other items are highlighted
self.element.find(itemClass).first().addClass(self.focusClass);
}
}
return self;
},
// _nestElements
// -------------
// Helps create the table of contents list by appending nested list items
_nestElements: function(self, index) {
var arr, item, hashValue;
arr = $.grep(this.items, function(item) {
return item === self.text();
});
// If there is already a duplicate TOC item
if (arr.length) {
// Adds the current TOC item text and index (for slight randomization) to the internal array
this.items.push(self.text() + index);
}
// If there not a duplicate TOC item
else {
// Adds the current TOC item text to the internal array
this.items.push(self.text());
}
hashValue = this._generateHashValue(arr, self, index);
// Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
item = $("<li/>", {
// Sets a common class name to the list item
"class": itemClassName,
"data-unique": hashValue
});
if (this.options.theme !== "bootstrap3") {
item.append($("<a/>", {
"html": self.html()
}));
} else {
item.html(self.html());
}
// Adds an HTML anchor tag before the currently traversed HTML element
self.before($("<div/>", {
// Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
"name": hashValue,
"data-unique": hashValue
}));
return item;
},
// _generateHashValue
// ------------------
// Generates the hash value that will be used to refer to each item.
_generateHashValue: function(arr, self, index) {
var hashValue = "",
hashGeneratorOption = this.options.hashGenerator;
if (hashGeneratorOption === "pretty") {
// prettify the text
hashValue = self.text().toLowerCase().replace(/\s/g, "-");
// fix double hyphens
while (hashValue.indexOf("--") > -1) {
hashValue = hashValue.replace(/--/g, "-");
}
// fix colon-space instances
while (hashValue.indexOf(":-") > -1) {
hashValue = hashValue.replace(/:-/g, "-");
}
} else if (typeof hashGeneratorOption === "function") {
// call the function
hashValue = hashGeneratorOption(self.text(), self);
} else {
// compact - the default
hashValue = self.text().replace(/\s/g, "");
}
// add the index if we need to
if (arr.length) {
hashValue += "" + index;
}
// return the value
return hashValue;
},
// _appendElements
// ---------------
// Helps create the table of contents list by appending subheader elements
_appendSubheaders: function(self, ul) {
// The current element index
var index = $(this).index(self.options.selectors),
// Finds the previous header DOM element
previousHeader = $(self.options.selectors).eq(index - 1),
currentTagName = +$(this).prop("tagName").charAt(1),
previousTagName = +previousHeader.prop("tagName").charAt(1),
lastSubheader;
// If the current header DOM element is smaller than the previous header DOM element or the first subheader
if (currentTagName < previousTagName) {
// Selects the last unordered list HTML found within the HTML element calling the plugin
self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));
}
// If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
else if (currentTagName === previousTagName) {
ul.find(itemClass).last().after(self._nestElements($(this), index));
} else {
// Selects the last unordered list HTML found within the HTML element calling the plugin
ul.find(itemClass).last().
// Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
after($("<ul/>", {
"class": subheaderClassName,
"data-tag": currentTagName
})).next(subheaderClass).
// Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
append(self._nestElements($(this), index));
}
},
// _setEventHandlers
// ----------------
// Adds jQuery event handlers to the newly generated table of contents
_setEventHandlers: function() {
// _Local variables_
// Stores the plugin context in the self variable
var self = this,
// Instantiates a new variable that will be used to hold a specific element's context
$self,
// Instantiates a new variable that will be used to determine the smoothScroll animation time duration
duration;
// Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
this.element.on("click.tocify", "li", function(event) {
if (self.options.history) {
window.location.hash = $(this).attr("data-unique");
}
// Removes highlighting from all of the list item's
self.element.find("." + self.focusClass).removeClass(self.focusClass);
// Highlights the current list item that was clicked
$(this).addClass(self.focusClass);
// If the showAndHide option is true
if (self.options.showAndHide) {
var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');
self._triggerShow(elem);
}
self._scrollTo($(this));
});
// Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
this.element.find("li").on({
// Mouseenter event handler
"mouseenter.tocify": function() {
// Adds a hover CSS class to the current list item
$(this).addClass(self.hoverClass);
// Makes sure the cursor is set to the pointer icon
$(this).css("cursor", "pointer");
},
// Mouseleave event handler
"mouseleave.tocify": function() {
if (self.options.theme !== "bootstrap") {
// Removes the hover CSS class from the current list item
$(this).removeClass(self.hoverClass);
}
}
});
// only attach handler if needed (expensive in IE)
if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
// Window scroll event handler
$(window).on("scroll.tocify", function() {
// Once all animations on the page are complete, this callback function will be called
$("html, body").promise().done(function() {
// Local variables
// Stores how far the user has scrolled
var winScrollTop = $(window).scrollTop(),
// Stores the height of the window
winHeight = $(window).height(),
// Stores the height of the document
docHeight = $(document).height(),
scrollHeight = $("body")[0].scrollHeight,
// Instantiates a variable that will be used to hold a selected HTML element
elem,
lastElem,
lastElemOffset,
currentElem;
if (self.options.extendPage) {
// If the user has scrolled to the bottom of the page and the last toc item is not focused
if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {
if (!$(extendPageClass).length) {
lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');
if (!lastElem.length) return;
// Gets the top offset of the page header that is linked to the last toc item
lastElemOffset = lastElem.offset().top;
// Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
$(self.options.context).append($("<div/>", {
"class": extendPageClassName,
"height": Math.abs(lastElemOffset - winScrollTop) + "px",
"data-unique": extendPageClassName
}));
if (self.extendPageScroll) {
currentElem = self.element.find('li.' + self.focusClass);
self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));
}
}
}
}
// The zero timeout ensures the following code is run after the scroll events
setTimeout(function() {
// _Local variables_
// Stores the distance to the closest anchor
var closestAnchorDistance = null,
// Stores the index of the closest anchor
closestAnchorIdx = null,
// Keeps a reference to all anchors
anchors = $(self.options.context).find("div[data-unique]"),
anchorText;
// Determines the index of the closest anchor
anchors.each(function(idx) {
var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
if (closestAnchorDistance == null || distance < closestAnchorDistance) {
closestAnchorDistance = distance;
closestAnchorIdx = idx;
} else {
return false;
}
});
anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");
// Stores the list item HTML element that corresponds to the currently traversed anchor tag
elem = $('li[data-unique="' + anchorText + '"]');
// If the `highlightOnScroll` option is true and a next element is found
if (self.options.highlightOnScroll && elem.length) {
// Removes highlighting from all of the list item's
self.element.find("." + self.focusClass).removeClass(self.focusClass);
// Highlights the corresponding list item
elem.addClass(self.focusClass);
}
if (self.options.scrollHistory) {
if (window.location.hash !== "#" + anchorText) {
window.location.replace("#" + anchorText);
}
}
// If the `showAndHideOnScroll` option is true
if (self.options.showAndHideOnScroll && self.options.showAndHide) {
self._triggerShow(elem, true);
}
}, 0);
});
});
}
},
// Show
// ----
// Opens the current sub-header
show: function(elem, scroll) {
// Stores the plugin context in the `self` variable
var self = this,
element = elem;
// If the sub-header is not already visible
if (!elem.is(":visible")) {
// If the current element does not have any nested subheaders, is not a header, and its parent is not visible
if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {
// Sets the current element to all of the subheaders within the current header
elem = elem.parents(subheaderClass).add(elem);
}
// If the current element does not have any nested subheaders and is not a header
else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {
// Sets the current element to the closest subheader
elem = elem.closest(subheaderClass);
}
//Determines what jQuery effect to use
switch (self.options.showEffect) {
//Uses `no effect`
case "none":
elem.show();
break;
//Uses the jQuery `show` special effect
case "show":
elem.show(self.options.showEffectSpeed);
break;
//Uses the jQuery `slideDown` special effect
case "slideDown":
elem.slideDown(self.options.showEffectSpeed);
break;
//Uses the jQuery `fadeIn` special effect
case "fadeIn":
elem.fadeIn(self.options.showEffectSpeed);
break;
//If none of the above options were passed, then a `jQueryUI show effect` is expected
default:
elem.show();
break;
}
}
// If the current subheader parent element is a header
if (elem.parent().is(headerClass)) {
// Hides all non-active sub-headers
self.hide($(subheaderClass).not(elem));
}
// If the current subheader parent element is not a header
else {
// Hides all non-active sub-headers
self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));
}
// Maintains chainablity
return self;
},
// Hide
// ----
// Closes the current sub-header
hide: function(elem) {
// Stores the plugin context in the `self` variable
var self = this;
//Determines what jQuery effect to use
switch (self.options.hideEffect) {
// Uses `no effect`
case "none":
elem.hide();
break;
// Uses the jQuery `hide` special effect
case "hide":
elem.hide(self.options.hideEffectSpeed);
break;
// Uses the jQuery `slideUp` special effect
case "slideUp":
elem.slideUp(self.options.hideEffectSpeed);
break;
// Uses the jQuery `fadeOut` special effect
case "fadeOut":
elem.fadeOut(self.options.hideEffectSpeed);
break;
// If none of the above options were passed, then a `jqueryUI hide effect` is expected
default:
elem.hide();
break;
}
// Maintains chainablity
return self;
},
// _triggerShow
// ------------
// Determines what elements get shown on scroll and click
_triggerShow: function(elem, scroll) {
var self = this;
// If the current element's parent is a header element or the next element is a nested subheader element
if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {
// Shows the next sub-header element
self.show(elem.next(subheaderClass), scroll);
}
// If the current element's parent is a subheader element
else if (elem.parent().is(subheaderClass)) {
// Shows the parent sub-header element
self.show(elem.parent(), scroll);
}
// Maintains chainability
return self;
},
// _addCSSClasses
// --------------
// Adds CSS classes to the newly generated table of contents HTML
_addCSSClasses: function() {
// If the user wants a jqueryUI theme
if (this.options.theme === "jqueryui") {
this.focusClass = "ui-state-default";
this.hoverClass = "ui-state-hover";
//Adds the default styling to the dropdown list
this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");
}
// If the user wants a twitterBootstrap theme
else if (this.options.theme === "bootstrap") {
this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");
this.focusClass = "active";
}
// If the user wants a twitterBootstrap theme
else if (this.options.theme === "bootstrap3") {
this.element.find(headerClass + "," + subheaderClass).addClass("list-group");
this.element.find(itemClass).addClass("list-group-item");
this.focusClass = "active";
}
// If a user does not want a prebuilt theme
else {
// Adds more neutral classes (instead of jqueryui)
this.focusClass = tocFocusClassName;
this.hoverClass = tocHoverClassName;
}
//Maintains chainability
return this;
},
// setOption
// ---------
// Sets a single Tocify option after the plugin is invoked
setOption: function() {
// Calls the jQueryUI Widget Factory setOption method
$.Widget.prototype._setOption.apply(this, arguments);
},
// setOptions
// ----------
// Sets a single or multiple Tocify options after the plugin is invoked
setOptions: function() {
// Calls the jQueryUI Widget Factory setOptions method
$.Widget.prototype._setOptions.apply(this, arguments);
},
// _scrollTo
// ---------
// Scrolls to a specific element
_scrollTo: function(elem) {
var self = this,
duration = self.options.smoothScroll || 0,
scrollTo = self.options.scrollTo,
currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');
if (!currentDiv.length) {
return self;
}
// Once all animations on the page are complete, this callback function will be called
$("html, body").promise().done(function() {
// Animates the html and body element scrolltops
$("html, body").animate({
// Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
"scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"
}, {
// Sets the smoothScroll animation time duration to the smoothScrollSpeed option
"duration": duration
});
});
// Maintains chainability
return self;
}
});
})); //end of plugin
</script>
<script>
/**
* jQuery Plugin: Sticky Tabs
*
* @author Aidan Lister <aidan@php.net>
* adapted by Ruben Arslan to activate parent tabs too
* http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
*/
(function($) {
"use strict";
$.fn.rmarkdownStickyTabs = function() {
var context = this;
// Show the tab corresponding with the hash in the URL, or the first tab
var showStuffFromHash = function() {
var hash = window.location.hash;
var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
var $selector = $(selector, context);
if($selector.data('toggle') === "tab") {
$selector.tab('show');
// walk up the ancestors of this element, show any hidden tabs
$selector.parents('.section.tabset').each(function(i, elm) {
var link = $('a[href="#' + $(elm).attr('id') + '"]');
if(link.data('toggle') === "tab") {
link.tab("show");
}
});
}
};
// Set the correct tab when the page loads
showStuffFromHash(context);
// Set the correct tab when a user uses their back/forward button
$(window).on('hashchange', function() {
showStuffFromHash(context);
});
// Change the URL when tabs are clicked
$('a', context).on('click', function(e) {
history.pushState(null, null, this.href);
showStuffFromHash(context);
});
return this;
};
}(jQuery));
window.buildTabsets = function(tocID) {
// build a tabset from a section div with the .tabset class
function buildTabset(tabset) {
// check for fade and pills options
var fade = tabset.hasClass("tabset-fade");
var pills = tabset.hasClass("tabset-pills");
var navClass = pills ? "nav-pills" : "nav-tabs";
// determine the heading level of the tabset and tabs
var match = tabset.attr('class').match(/level(\d) /);
if (match === null)
return;
var tabsetLevel = Number(match[1]);
var tabLevel = tabsetLevel + 1;
// find all subheadings immediately below
var tabs = tabset.find("div.section.level" + tabLevel);
if (!tabs.length)
return;
// create tablist and tab-content elements
var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
$(tabs[0]).before(tabList);
var tabContent = $('<div class="tab-content"></div>');
$(tabs[0]).before(tabContent);
// build the tabset
var activeTab = 0;
tabs.each(function(i) {
// get the tab div
var tab = $(tabs[i]);
// get the id then sanitize it for use with bootstrap tabs
var id = tab.attr('id');
// see if this is marked as the active tab
if (tab.hasClass('active'))
activeTab = i;
// remove any table of contents entries associated with
// this ID (since we'll be removing the heading element)
$("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
// sanitize the id for use with bootstrap tabs
id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
tab.attr('id', id);
// get the heading element within it, grab it's text, then remove it
var heading = tab.find('h' + tabLevel + ':first');
var headingText = heading.html();
heading.remove();
// build and append the tab list item
var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
a.attr('href', '#' + id);
a.attr('aria-controls', id);
var li = $('<li role="presentation"></li>');
li.append(a);
tabList.append(li);
// set it's attributes
tab.attr('role', 'tabpanel');
tab.addClass('tab-pane');
tab.addClass('tabbed-pane');
if (fade)
tab.addClass('fade');
// move it into the tab content div
tab.detach().appendTo(tabContent);
});
// set active tab
$(tabList.children('li')[activeTab]).addClass('active');
var active = $(tabContent.children('div.section')[activeTab]);
active.addClass('active');
if (fade)
active.addClass('in');
if (tabset.hasClass("tabset-sticky"))
tabset.rmarkdownStickyTabs();
}
// convert section divs with the .tabset class to tabsets
var tabsets = $("div.section.tabset");
tabsets.each(function(i) {
buildTabset($(tabsets[i]));
});
};
</script>
<script>
window.initializeCodeFolding = function(show) {
// handlers for show-all and hide all
$("#rmd-show-all-code").click(function() {
$('div.r-code-collapse').each(function() {
$(this).collapse('show');
});
});
$("#rmd-hide-all-code").click(function() {
$('div.r-code-collapse').each(function() {
$(this).collapse('hide');
});
});
// index for unique code element ids
var currentIndex = 1;
// select all R code blocks
var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
rCodeBlocks.each(function() {
// skip if the block has fold-none class
if ($(this).hasClass('fold-none')) return;
// create a collapsable div to wrap the code in
var div = $('<div class="collapse r-code-collapse"></div>');
var showThis = (show || $(this).hasClass('fold-show')) && !$(this).hasClass('fold-hide');
var id = 'rcode-643E0F36' + currentIndex++;
div.attr('id', id);
$(this).before(div);
$(this).detach().appendTo(div);
// add a show code button right above
var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Show') + '</span>');
var showCodeButton = $('<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm code-folding-btn pull-right float-right"></button>');
showCodeButton.append(showCodeText);
showCodeButton
.attr('data-toggle', 'collapse')
.attr('data-bs-toggle', 'collapse') // BS5
.attr('data-target', '#' + id)
.attr('data-bs-target', '#' + id) // BS5
.attr('aria-expanded', showThis)
.attr('aria-controls', id);
var buttonRow = $('<div class="row"></div>');
var buttonCol = $('<div class="col-md-12"></div>');
buttonCol.append(showCodeButton);
buttonRow.append(buttonCol);
div.before(buttonRow);
// show the div if necessary
if (showThis) div.collapse('show');
// update state of button on show/hide
// * Change text
// * add a class for intermediate states styling
div.on('hide.bs.collapse', function () {
showCodeText.text('Show');
showCodeButton.addClass('btn-collapsing');
});
div.on('hidden.bs.collapse', function () {
showCodeButton.removeClass('btn-collapsing');
});
div.on('show.bs.collapse', function () {
showCodeText.text('Hide');
showCodeButton.addClass('btn-expanding');
});
div.on('shown.bs.collapse', function () {
showCodeButton.removeClass('btn-expanding');
});
});
}
</script>
<script>
window.initializeSourceEmbed = function(filename) {
$("#rmd-download-source").click(function() {
var src = $("#rmd-source-code").html();
var a = document.createElement('a');
a.href = "data:text/x-r-markdown;base64," + src;
a.download = filename;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
});
};
</script>
<style type="text/css">.pagedtable {
overflow: auto;
padding-left: 8px;
padding-right: 8px;
}
.pagedtable-wrapper {
border: 1px solid #ccc;
border-radius: 4px;
margin-bottom: 10px;
}
.pagedtable table {
width: 100%;
max-width: 100%;
margin: 0;
}
.pagedtable th {
padding: 0 5px 0 5px;
border: none;
border-bottom: 2px solid #dddddd;
min-width: 45px;
}
.pagedtable-empty th {
display: none;
}
.pagedtable td {
padding: 0 4px 0 4px;
}
.pagedtable .even {
background-color: rgba(140, 140, 140, 0.1);
}
.pagedtable-padding-col {
display: none;
}
.pagedtable a {
-webkit-touch-callout: none;
-webkit-user-select: none;
-khtml-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.pagedtable-index-nav {
cursor: pointer;
padding: 0 5px 0 5px;
float: right;
border: 0;
}
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cursor: default;
text-decoration: none;
color: #999;
}
a.pagedtable-index-nav-disabled:hover {
text-decoration: none;
color: #999;
}
.pagedtable-indexes {
cursor: pointer;
float: right;
border: 0;
}
.pagedtable-index-current {
cursor: default;
text-decoration: none;
font-weight: bold;
color: #333;
border: 0;
}
a.pagedtable-index-current:hover {
text-decoration: none;
font-weight: bold;
color: #333;
}
.pagedtable-index {
width: 30px;
display: inline-block;
text-align: center;
border: 0;
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display: inline-block;
color: #333;
font-size: 9px;
padding: 0 0 0 0;
cursor: default;
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display: inline-block;
color: #333;
font-size: 9px;
padding: 0 4px 0 0;
cursor: default;
}
.pagedtable-footer {
padding-top: 4px;
padding-bottom: 5px;
}
.pagedtable-not-empty .pagedtable-footer {
border-top: 2px solid #dddddd;
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.pagedtable-info {
overflow: hidden;
color: #999;
white-space: nowrap;
text-overflow: ellipsis;
}
.pagedtable-header-name {
overflow: hidden;
text-overflow: ellipsis;
}
.pagedtable-header-type {
color: #999;
font-weight: 400;
}
.pagedtable-na-cell {
font-style: italic;
opacity: 0.3;
}
</style>
<script>// Production steps of ECMA-262, Edition 5, 15.4.4.18
// Reference: http://es5.github.io/#x15.4.4.18
if (!Array.prototype.forEach) {
Array.prototype.forEach = function(callback, thisArg) {
var T, k;
if (this === null) {
throw new TypeError(' this is null or not defined');
}
// 1. Let O be the result of calling toObject() passing the
// |this| value as the argument.
var O = Object(this);
// 2. Let lenValue be the result of calling the Get() internal
// method of O with the argument "length".
// 3. Let len be toUint32(lenValue).
var len = O.length >>> 0;
// 4. If isCallable(callback) is false, throw a TypeError exception.
// See: http://es5.github.com/#x9.11
if (typeof callback !== "function") {
throw new TypeError(callback + ' is not a function');
}
// 5. If thisArg was supplied, let T be thisArg; else let
// T be undefined.
if (arguments.length > 1) {
T = thisArg;
}
// 6. Let k be 0
k = 0;
// 7. Repeat, while k < len
while (k < len) {
var kValue;
// a. Let Pk be ToString(k).
// This is implicit for LHS operands of the in operator
// b. Let kPresent be the result of calling the HasProperty
// internal method of O with argument Pk.
// This step can be combined with c
// c. If kPresent is true, then
if (k in O) {
// i. Let kValue be the result of calling the Get internal
// method of O with argument Pk.
kValue = O[k];
// ii. Call the Call internal method of callback with T as
// the this value and argument list containing kValue, k, and O.
callback.call(T, kValue, k, O);
}
// d. Increase k by 1.
k++;
}
// 8. return undefined
};
}
// Production steps of ECMA-262, Edition 5, 15.4.4.19
// Reference: http://es5.github.io/#x15.4.4.19
if (!Array.prototype.map) {
Array.prototype.map = function(callback, thisArg) {
var T, A, k;
if (this == null) {
throw new TypeError(' this is null or not defined');
}
// 1. Let O be the result of calling ToObject passing the |this|
// value as the argument.
var O = Object(this);
// 2. Let lenValue be the result of calling the Get internal
// method of O with the argument "length".
// 3. Let len be ToUint32(lenValue).
var len = O.length >>> 0;
// 4. If IsCallable(callback) is false, throw a TypeError exception.
// See: http://es5.github.com/#x9.11
if (typeof callback !== 'function') {
throw new TypeError(callback + ' is not a function');
}
// 5. If thisArg was supplied, let T be thisArg; else let T be undefined.
if (arguments.length > 1) {
T = thisArg;
}
// 6. Let A be a new array created as if by the expression new Array(len)
// where Array is the standard built-in constructor with that name and
// len is the value of len.
A = new Array(len);
// 7. Let k be 0
k = 0;
// 8. Repeat, while k < len
while (k < len) {
var kValue, mappedValue;
// a. Let Pk be ToString(k).
// This is implicit for LHS operands of the in operator
// b. Let kPresent be the result of calling the HasProperty internal
// method of O with argument Pk.
// This step can be combined with c
// c. If kPresent is true, then
if (k in O) {
// i. Let kValue be the result of calling the Get internal
// method of O with argument Pk.
kValue = O[k];
// ii. Let mappedValue be the result of calling the Call internal
// method of callback with T as the this value and argument
// list containing kValue, k, and O.
mappedValue = callback.call(T, kValue, k, O);
// iii. Call the DefineOwnProperty internal method of A with arguments
// Pk, Property Descriptor
// { Value: mappedValue,
// Writable: true,
// Enumerable: true,
// Configurable: true },
// and false.
// In browsers that support Object.defineProperty, use the following:
// Object.defineProperty(A, k, {
// value: mappedValue,
// writable: true,
// enumerable: true,
// configurable: true
// });
// For best browser support, use the following:
A[k] = mappedValue;
}
// d. Increase k by 1.
k++;
}
// 9. return A
return A;
};
}
var PagedTable = function (pagedTable) {
var me = this;
var source = function(pagedTable) {
var sourceElems = [].slice.call(pagedTable.children).filter(function(e) {
return e.hasAttribute("data-pagedtable-source");
});
if (sourceElems === null || sourceElems.length !== 1) {
throw("A single data-pagedtable-source was not found");
}
return JSON.parse(sourceElems[0].innerHTML);
}(pagedTable);
var options = function(source) {
var options = typeof(source.options) !== "undefined" &&
source.options !== null ? source.options : {};
var columns = typeof(options.columns) !== "undefined" ? options.columns : {};
var rows = typeof(options.rows) !== "undefined" ? options.rows : {};
var positiveIntOrNull = function(value) {
return parseInt(value) >= 0 ? parseInt(value) : null;
};
return {
pages: positiveIntOrNull(options.pages),
rows: {
min: positiveIntOrNull(rows.min),
max: positiveIntOrNull(rows.max),
total: positiveIntOrNull(rows.total)
},
columns: {
min: positiveIntOrNull(columns.min),
max: positiveIntOrNull(columns.max),
total: positiveIntOrNull(columns.total)
}
};
}(source);
var Measurer = function() {
// set some default initial values that will get adjusted in runtime
me.measures = {
padding: 12,
character: 8,
height: 15,
defaults: true
};
me.calculate = function(measuresCell) {
if (!me.measures.defaults)
return;
var measuresCellStyle = window.getComputedStyle(measuresCell, null);
var newPadding = parsePadding(measuresCellStyle.paddingLeft) +
parsePadding(measuresCellStyle.paddingRight);
var sampleString = "ABCDEFGHIJ0123456789";
var newCharacter = Math.ceil(measuresCell.clientWidth / sampleString.length);
if (newPadding <= 0 || newCharacter <= 0)
return;
me.measures.padding = newPadding;
me.measures.character = newCharacter;
me.measures.height = measuresCell.clientHeight;
me.measures.defaults = false;
};
return me;
};
var Page = function(data, options) {
var me = this;
var defaults = {
max: 7,
rows: 10
};
var totalPages = function() {
return Math.ceil(data.length / me.rows);
};
me.number = 0;
me.max = options.pages !== null ? options.pages : defaults.max;
me.visible = me.max;
me.rows = options.rows.min !== null ? options.rows.min : defaults.rows;
me.total = totalPages();
me.setRows = function(newRows) {
me.rows = newRows;
me.total = totalPages();
};
me.setPageNumber = function(newPageNumber) {
if (newPageNumber < 0) newPageNumber = 0;
if (newPageNumber >= me.total) newPageNumber = me.total - 1;
me.number = newPageNumber;
};
me.setVisiblePages = function(visiblePages) {
me.visible = Math.min(me.max, visiblePages);
me.setPageNumber(me.number);
};
me.getVisiblePageRange = function() {
var start = me.number - Math.max(Math.floor((me.visible - 1) / 2), 0);
var end = me.number + Math.floor(me.visible / 2) + 1;
var pageCount = me.total;
if (start < 0) {
var diffToStart = 0 - start;
start += diffToStart;
end += diffToStart;
}
if (end > pageCount) {
var diffToEnd = end - pageCount;
start -= diffToEnd;
end -= diffToEnd;
}
start = start < 0 ? 0 : start;
end = end >= pageCount ? pageCount : end;
var first = false;
var last = false;
if (start > 0 && me.visible > 1) {
start = start + 1;
first = true;
}
if (end < pageCount && me.visible > 2) {
end = end - 1;
last = true;
}
return {
first: first,
start: start,
end: end,
last: last
};
};
me.getRowStart = function() {
var rowStart = page.number * page.rows;
if (rowStart < 0)
rowStart = 0;
return rowStart;
};
me.getRowEnd = function() {
var rowStart = me.getRowStart();
return Math.min(rowStart + me.rows, data.length);
};
me.getPaddingRows = function() {
var rowStart = me.getRowStart();
var rowEnd = me.getRowEnd();
return data.length > me.rows ? me.rows - (rowEnd - rowStart) : 0;
};
};
var Columns = function(data, columns, options) {
var me = this;
me.defaults = {
min: 5
};
me.number = 0;
me.visible = 0;
me.total = columns.length;
me.subset = [];
me.padding = 0;
me.min = options.columns.min !== null ? options.columns.min : me.defaults.min;
me.max = options.columns.max !== null ? options.columns.max : null;
me.widths = {};
var widthsLookAhead = Math.max(100, options.rows.min);
var paddingColChars = 10;
me.emptyNames = function() {
columns.forEach(function(column) {
if (columns.label !== null && columns.label !== "")
return false;
});
return true;
};
var parsePadding = function(value) {
return parseInt(value) >= 0 ? parseInt(value) : 0;
};
me.calculateWidths = function(measures) {
columns.forEach(function(column) {
var maxChars = Math.max(
column.label.toString().length,
column.type.toString().length
);
for (var idxRow = 0; idxRow < Math.min(widthsLookAhead, data.length); idxRow++) {
maxChars = Math.max(maxChars, data[idxRow][column.name.toString()].length);
}
me.widths[column.name] = {
// width in characters
chars: maxChars,
// width for the inner html columns
inner: maxChars * measures.character,
// width adding outer styles like padding
outer: maxChars * measures.character + measures.padding
};
});
};
me.getWidth = function() {
var widthOuter = 0;
for (var idxCol = 0; idxCol < me.subset.length; idxCol++) {
var columnName = me.subset[idxCol].name;
widthOuter = widthOuter + me.widths[columnName].outer;
}
widthOuter = widthOuter + me.padding * paddingColChars * measurer.measures.character;
if (me.hasMoreLeftColumns()) {
widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
}
if (me.hasMoreRightColumns()) {
widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
}
return widthOuter;
};
me.updateSlice = function() {
if (me.number + me.visible >= me.total)
me.number = me.total - me.visible;
if (me.number < 0) me.number = 0;
me.subset = columns.slice(me.number, Math.min(me.number + me.visible, me.total));
me.subset = me.subset.map(function(column) {
Object.keys(column).forEach(function(colKey) {
column[colKey] = column[colKey] === null ? "" : column[colKey].toString();
});
column.width = null;
return column;
});
};
me.setVisibleColumns = function(columnNumber, newVisibleColumns, paddingCount) {
me.number = columnNumber;
me.visible = newVisibleColumns;
me.padding = paddingCount;
me.updateSlice();
};
me.incColumnNumber = function(increment) {
me.number = me.number + increment;
};
me.setColumnNumber = function(newNumber) {
me.number = newNumber;
};
me.setPaddingCount = function(newPadding) {
me.padding = newPadding;
};
me.getPaddingCount = function() {
return me.padding;
};
me.hasMoreLeftColumns = function() {
return me.number > 0;
};
me.hasMoreRightColumns = function() {
return me.number + me.visible < me.total;
};
me.updateSlice(0);
return me;
};
var data = source.data;
var page = new Page(data, options);
var measurer = new Measurer(data, options);
var columns = new Columns(data, source.columns, options);
var table = null;
var tableDiv = null;
var header = null;
var footer = null;
var tbody = null;
// Caches pagedTable.clientWidth, specially for webkit
var cachedPagedTableClientWidth = null;
var onChangeCallbacks = [];
var clearSelection = function() {
if(document.selection && document.selection.empty) {
document.selection.empty();
} else if(window.getSelection) {
var sel = window.getSelection();
sel.removeAllRanges();
}
};
var columnNavigationWidthPX = 5;
var renderColumnNavigation = function(increment, backwards) {
var arrow = document.createElement("div");
arrow.setAttribute("style",
"border-top: " + columnNavigationWidthPX + "px solid transparent;" +
"border-bottom: " + columnNavigationWidthPX + "px solid transparent;" +
"border-" + (backwards ? "right" : "left") + ": " + columnNavigationWidthPX + "px solid;");
var header = document.createElement("th");
header.appendChild(arrow);
header.setAttribute("style",
"cursor: pointer;" +
"vertical-align: middle;" +
"min-width: " + columnNavigationWidthPX + "px;" +
"width: " + columnNavigationWidthPX + "px;");
header.onclick = function() {
columns.incColumnNumber(backwards ? -1 : increment);
me.animateColumns(backwards);
renderFooter();
clearSelection();
triggerOnChange();
};
return header;
};
var maxColumnWidth = function(width) {
var padding = 80;
var columnMax = Math.max(cachedPagedTableClientWidth - padding, 0);
return parseInt(width) > 0 ?
Math.min(columnMax, parseInt(width)) + "px" :
columnMax + "px";
};
var clearHeader = function() {
var thead = pagedTable.querySelectorAll("thead")[0];
thead.innerHTML = "";
};
var renderHeader = function(clear) {
cachedPagedTableClientWidth = pagedTable.clientWidth;
var fragment = document.createDocumentFragment();
header = document.createElement("tr");
fragment.appendChild(header);
if (columns.number > 0)
header.appendChild(renderColumnNavigation(-columns.visible, true));
columns.subset = columns.subset.map(function(columnData) {
var column = document.createElement("th");
column.setAttribute("align", columnData.align);
column.style.textAlign = columnData.align;
column.style.maxWidth = maxColumnWidth(null);
if (columnData.width) {
column.style.minWidth =
column.style.maxWidth = maxColumnWidth(columnData.width);
}
var columnName = document.createElement("div");
columnName.setAttribute("class", "pagedtable-header-name");
if (columnData.label === "") {
columnName.innerHTML = "&nbsp;";
}
else {
columnName.appendChild(document.createTextNode(columnData.label));
}
column.appendChild(columnName);
var columnType = document.createElement("div");
columnType.setAttribute("class", "pagedtable-header-type");
if (columnData.type === "") {
columnType.innerHTML = "&nbsp;";
}
else {
columnType.appendChild(document.createTextNode("<" + columnData.type + ">"));
}
column.appendChild(columnType);
header.appendChild(column);
columnData.element = column;
return columnData;
});
for (var idx = 0; idx < columns.getPaddingCount(); idx++) {
var paddingCol = document.createElement("th");
paddingCol.setAttribute("class", "pagedtable-padding-col");
header.appendChild(paddingCol);
}
if (columns.number + columns.visible < columns.total)
header.appendChild(renderColumnNavigation(columns.visible, false));
if (typeof(clear) == "undefined" || clear) clearHeader();
var thead = pagedTable.querySelectorAll("thead")[0];
thead.appendChild(fragment);
};
me.animateColumns = function(backwards) {
var thead = pagedTable.querySelectorAll("thead")[0];
var headerOld = thead.querySelectorAll("tr")[0];
var tbodyOld = table.querySelectorAll("tbody")[0];
me.fitColumns(backwards);
renderHeader(false);
header.style.opacity = "0";
header.style.transform = backwards ? "translateX(-30px)" : "translateX(30px)";
header.style.transition = "transform 200ms linear, opacity 200ms";
header.style.transitionDelay = "0";
renderBody(false);
if (headerOld) {
headerOld.style.position = "absolute";
headerOld.style.transform = "translateX(0px)";
headerOld.style.opacity = "1";
headerOld.style.transition = "transform 100ms linear, opacity 100ms";
headerOld.setAttribute("class", "pagedtable-remove-head");
if (headerOld.style.transitionEnd) {
headerOld.addEventListener("transitionend", function() {
var headerOldByClass = thead.querySelector(".pagedtable-remove-head");
if (headerOldByClass) thead.removeChild(headerOldByClass);
});
}
else {
thead.removeChild(headerOld);
}
}
if (tbodyOld) table.removeChild(tbodyOld);
tbody.style.opacity = "0";
tbody.style.transition = "transform 200ms linear, opacity 200ms";
tbody.style.transitionDelay = "0ms";
// force relayout
window.getComputedStyle(header).opacity;
window.getComputedStyle(tbody).opacity;
if (headerOld) {
headerOld.style.transform = backwards ? "translateX(20px)" : "translateX(-30px)";
headerOld.style.opacity = "0";
}
header.style.transform = "translateX(0px)";
header.style.opacity = "1";
tbody.style.opacity = "1";
}
me.onChange = function(callback) {
onChangeCallbacks.push(callback);
};
var triggerOnChange = function() {
onChangeCallbacks.forEach(function(onChange) {
onChange();
});
};
var clearBody = function() {
if (tbody) {
table.removeChild(tbody);
tbody = null;
}
};
var renderBody = function(clear) {
cachedPagedTableClientWidth = pagedTable.clientWidth
var fragment = document.createDocumentFragment();
var pageData = data.slice(page.getRowStart(), page.getRowEnd());
pageData.forEach(function(dataRow, idxRow) {
var htmlRow = document.createElement("tr");
htmlRow.setAttribute("class", (idxRow % 2 !==0) ? "even" : "odd");
if (columns.hasMoreLeftColumns())
htmlRow.appendChild(document.createElement("td"));
columns.subset.forEach(function(columnData) {
var cellName = columnData.name;
var dataCell = dataRow[cellName];
var htmlCell = document.createElement("td");
if (dataCell === "NA") htmlCell.setAttribute("class", "pagedtable-na-cell");
if (dataCell === "__NA__") dataCell = "NA";
var cellText = document.createTextNode(dataCell);
htmlCell.appendChild(cellText);
if (dataCell.length > 50) {
htmlCell.setAttribute("title", dataCell);
}
htmlCell.setAttribute("align", columnData.align);
htmlCell.style.textAlign = columnData.align;
htmlCell.style.maxWidth = maxColumnWidth(null);
if (columnData.width) {
htmlCell.style.minWidth = htmlCell.style.maxWidth = maxColumnWidth(columnData.width);
}
htmlRow.appendChild(htmlCell);
});
for (var idx = 0; idx < columns.getPaddingCount(); idx++) {
var paddingCol = document.createElement("td");
paddingCol.setAttribute("class", "pagedtable-padding-col");
htmlRow.appendChild(paddingCol);
}
if (columns.hasMoreRightColumns())
htmlRow.appendChild(document.createElement("td"));
fragment.appendChild(htmlRow);
});
for (var idxPadding = 0; idxPadding < page.getPaddingRows(); idxPadding++) {
var paddingRow = document.createElement("tr");
var paddingCellRow = document.createElement("td");
paddingCellRow.innerHTML = "&nbsp;";
paddingCellRow.setAttribute("colspan", "100%");
paddingRow.appendChild(paddingCellRow);
fragment.appendChild(paddingRow);
}
if (typeof(clear) == "undefined" || clear) clearBody();
tbody = document.createElement("tbody");
tbody.appendChild(fragment);
table.appendChild(tbody);
};
var getLabelInfo = function() {
var pageStart = page.getRowStart();
var pageEnd = page.getRowEnd();
var totalRows = data.length;
var totalRowsLabel = options.rows.total ? options.rows.total : totalRows;
var totalRowsLabelFormat = totalRowsLabel.toString().replace(/(\d)(?=(\d\d\d)+(?!\d))/g, '$1,');
var infoText = (pageStart + 1) + "-" + pageEnd + " of " + totalRowsLabelFormat + " rows";
if (totalRows < page.rows) {
infoText = totalRowsLabel + " row" + (totalRows != 1 ? "s" : "");
}
if (columns.total > columns.visible) {
var totalColumnsLabel = options.columns.total ? options.columns.total : columns.total;
infoText = infoText + " | " + (columns.number + 1) + "-" +
(Math.min(columns.number + columns.visible, columns.total)) +
" of " + totalColumnsLabel + " columns";
}
return infoText;
};
var clearFooter = function() {
footer = pagedTable.querySelectorAll("div.pagedtable-footer")[0];
footer.innerHTML = "";
return footer;
};
var createPageLink = function(idxPage) {
var pageLink = document.createElement("a");
pageLinkClass = idxPage === page.number ? "pagedtable-index pagedtable-index-current" : "pagedtable-index";
pageLink.setAttribute("class", pageLinkClass);
pageLink.setAttribute("data-page-index", idxPage);
pageLink.onclick = function() {
page.setPageNumber(parseInt(this.getAttribute("data-page-index")));
renderBody();
renderFooter();
triggerOnChange();
};
pageLink.appendChild(document.createTextNode(idxPage + 1));
return pageLink;
}
var renderFooter = function() {
footer = clearFooter();
var next = document.createElement("a");
next.appendChild(document.createTextNode("Next"));
next.onclick = function() {
page.setPageNumber(page.number + 1);
renderBody();
renderFooter();
triggerOnChange();
};
if (data.length > page.rows) footer.appendChild(next);
var pageNumbers = document.createElement("div");
pageNumbers.setAttribute("class", "pagedtable-indexes");
var pageRange = page.getVisiblePageRange();
if (pageRange.first) {
var pageLink = createPageLink(0);
pageNumbers.appendChild(pageLink);
var pageSeparator = document.createElement("div");
pageSeparator.setAttribute("class", "pagedtable-index-separator-left");
pageSeparator.appendChild(document.createTextNode("..."))
pageNumbers.appendChild(pageSeparator);
}
for (var idxPage = pageRange.start; idxPage < pageRange.end; idxPage++) {
var pageLink = createPageLink(idxPage);
pageNumbers.appendChild(pageLink);
}
if (pageRange.last) {
var pageSeparator = document.createElement("div");
pageSeparator.setAttribute("class", "pagedtable-index-separator-right");
pageSeparator.appendChild(document.createTextNode("..."))
pageNumbers.appendChild(pageSeparator);
var pageLink = createPageLink(page.total - 1);
pageNumbers.appendChild(pageLink);
}
if (data.length > page.rows) footer.appendChild(pageNumbers);
var previous = document.createElement("a");
previous.appendChild(document.createTextNode("Previous"));
previous.onclick = function() {
page.setPageNumber(page.number - 1);
renderBody();
renderFooter();
triggerOnChange();
};
if (data.length > page.rows) footer.appendChild(previous);
var infoLabel = document.createElement("div");
infoLabel.setAttribute("class", "pagedtable-info");
infoLabel.setAttribute("title", getLabelInfo());
infoLabel.appendChild(document.createTextNode(getLabelInfo()));
footer.appendChild(infoLabel);
var enabledClass = "pagedtable-index-nav";
var disabledClass = "pagedtable-index-nav pagedtable-index-nav-disabled";
previous.setAttribute("class", page.number <= 0 ? disabledClass : enabledClass);
next.setAttribute("class", (page.number + 1) * page.rows >= data.length ? disabledClass : enabledClass);
};
var measuresCell = null;
var renderMeasures = function() {
var measuresTable = document.createElement("table");
measuresTable.style.visibility = "hidden";
measuresTable.style.position = "absolute";
measuresTable.style.whiteSpace = "nowrap";
measuresTable.style.height = "auto";
measuresTable.style.width = "auto";
var measuresRow = document.createElement("tr");
measuresTable.appendChild(measuresRow);
measuresCell = document.createElement("td");
var sampleString = "ABCDEFGHIJ0123456789";
measuresCell.appendChild(document.createTextNode(sampleString));
measuresRow.appendChild(measuresCell);
tableDiv.appendChild(measuresTable);
}
me.init = function() {
tableDiv = document.createElement("div");
pagedTable.appendChild(tableDiv);
var pagedTableClass = data.length > 0 ?
"pagedtable pagedtable-not-empty" :
"pagedtable pagedtable-empty";
if (columns.total == 0 || (columns.emptyNames() && data.length == 0)) {
pagedTableClass = pagedTableClass + " pagedtable-empty-columns";
}
tableDiv.setAttribute("class", pagedTableClass);
renderMeasures();
measurer.calculate(measuresCell);
columns.calculateWidths(measurer.measures);
table = document.createElement("table");
table.setAttribute("cellspacing", "0");
table.setAttribute("class", "table table-condensed");
tableDiv.appendChild(table);
table.appendChild(document.createElement("thead"));
var footerDiv = document.createElement("div");
footerDiv.setAttribute("class", "pagedtable-footer");
tableDiv.appendChild(footerDiv);
// if the host has not yet provided horizontal space, render hidden
if (tableDiv.clientWidth <= 0) {
tableDiv.style.opacity = "0";
}
me.render();
// retry seizing columns later if the host has not provided space
function retryFit() {
if (tableDiv.clientWidth <= 0) {
setTimeout(retryFit, 100);
} else {
me.render();
triggerOnChange();
}
}
if (tableDiv.clientWidth <= 0) {
retryFit();
}
};
var registerWidths = function() {
columns.subset = columns.subset.map(function(column) {
column.width = columns.widths[column.name].inner;
return column;
});
};
var parsePadding = function(value) {
return parseInt(value) >= 0 ? parseInt(value) : 0;
};
me.fixedHeight = function() {
return options.rows.max != null;
}
me.fitRows = function() {
if (me.fixedHeight())
return;
measurer.calculate(measuresCell);
var rows = options.rows.min !== null ? options.rows.min : 0;
var headerHeight = header !== null && header.offsetHeight > 0 ? header.offsetHeight : 0;
var footerHeight = footer !== null && footer.offsetHeight > 0 ? footer.offsetHeight : 0;
if (pagedTable.offsetHeight > 0) {
var availableHeight = pagedTable.offsetHeight - headerHeight - footerHeight;
rows = Math.floor((availableHeight) / measurer.measures.height);
}
rows = options.rows.min !== null ? Math.max(options.rows.min, rows) : rows;
page.setRows(rows);
}
// The goal of this function is to add as many columns as possible
// starting from left-to-right, when the right most limit is reached
// it tries to add columns from the left as well.
//
// When startBackwards is true columns are added from right-to-left
me.fitColumns = function(startBackwards) {
measurer.calculate(measuresCell);
columns.calculateWidths(measurer.measures);
if (tableDiv.clientWidth > 0) {
tableDiv.style.opacity = 1;
}
var visibleColumns = tableDiv.clientWidth <= 0 ? Math.max(columns.min, 1) : 1;
var columnNumber = columns.number;
var paddingCount = 0;
// track a list of added columns as we build the visible ones to allow us
// to remove columns when they don't fit anymore.
var columnHistory = [];
var lastTableHeight = 0;
var backwards = startBackwards;
var tableDivStyle = window.getComputedStyle(tableDiv, null);
var tableDivPadding = parsePadding(tableDivStyle.paddingLeft) +
parsePadding(tableDivStyle.paddingRight);
var addPaddingCol = false;
var currentWidth = 0;
while (true) {
columns.setVisibleColumns(columnNumber, visibleColumns, paddingCount);
currentWidth = columns.getWidth();
if (tableDiv.clientWidth - tableDivPadding < currentWidth) {
break;
}
columnHistory.push({
columnNumber: columnNumber,
visibleColumns: visibleColumns,
paddingCount: paddingCount
});
if (columnHistory.length > 100) {
console.error("More than 100 tries to fit columns, aborting");
break;
}
if (columns.max !== null &&
columns.visible + columns.getPaddingCount() >= columns.max) {
break;
}
// if we run out of right-columns
if (!backwards && columnNumber + columns.visible >= columns.total) {
// if we started adding right-columns, try adding left-columns
if (!startBackwards && columnNumber > 0) {
backwards = true;
}
else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
break;
}
else {
paddingCount = paddingCount + 1;
}
}
// if we run out of left-columns
if (backwards && columnNumber == 0) {
// if we started adding left-columns, try adding right-columns
if (startBackwards && columnNumber + columns.visible < columns.total) {
backwards = false;
}
else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
break;
}
else {
paddingCount = paddingCount + 1;
}
}
// when moving backwards try fitting left columns first
if (backwards && columnNumber > 0) {
columnNumber = columnNumber - 1;
}
if (columnNumber + visibleColumns < columns.total) {
visibleColumns = visibleColumns + 1;
}
}
var lastRenderableColumn = {
columnNumber: columnNumber,
visibleColumns: visibleColumns,
paddingCount: paddingCount
};
if (columnHistory.length > 0) {
lastRenderableColumn = columnHistory[columnHistory.length - 1];
}
columns.setVisibleColumns(
lastRenderableColumn.columnNumber,
lastRenderableColumn.visibleColumns,
lastRenderableColumn.paddingCount);
if (pagedTable.offsetWidth > 0) {
page.setVisiblePages(Math.max(Math.ceil(1.0 * (pagedTable.offsetWidth - 250) / 40), 2));
}
registerWidths();
};
me.fit = function(startBackwards) {
me.fitRows();
me.fitColumns(startBackwards);
}
me.render = function() {
me.fitColumns(false);
// render header/footer to measure height accurately
renderHeader();
renderFooter();
me.fitRows();
renderBody();
// re-render footer to match new rows
renderFooter();
}
var resizeLastWidth = -1;
var resizeLastHeight = -1;
var resizeNewWidth = -1;
var resizeNewHeight = -1;
var resizePending = false;
me.resize = function(newWidth, newHeight) {
function resizeDelayed() {
resizePending = false;
if (
(resizeNewWidth !== resizeLastWidth) ||
(!me.fixedHeight() && resizeNewHeight !== resizeLastHeight)
) {
resizeLastWidth = resizeNewWidth;
resizeLastHeight = resizeNewHeight;
setTimeout(resizeDelayed, 200);
resizePending = true;
} else {
me.render();
triggerOnChange();
resizeLastWidth = -1;
resizeLastHeight = -1;
}
}
resizeNewWidth = newWidth;
resizeNewHeight = newHeight;
if (!resizePending) resizeDelayed();
};
};
var PagedTableDoc;
(function (PagedTableDoc) {
var allPagedTables = [];
PagedTableDoc.initAll = function() {
allPagedTables = [];
var pagedTables = [].slice.call(document.querySelectorAll('[data-pagedtable="false"],[data-pagedtable=""]'));
pagedTables.forEach(function(pagedTable, idx) {
pagedTable.setAttribute("data-pagedtable", "true");
pagedTable.setAttribute("pagedtable-page", 0);
pagedTable.setAttribute("class", "pagedtable-wrapper");
var pagedTableInstance = new PagedTable(pagedTable);
pagedTableInstance.init();
allPagedTables.push(pagedTableInstance);
});
};
PagedTableDoc.resizeAll = function() {
allPagedTables.forEach(function(pagedTable) {
pagedTable.render();
});
};
window.addEventListener("resize", PagedTableDoc.resizeAll);
return PagedTableDoc;
})(PagedTableDoc || (PagedTableDoc = {}));
window.onload = function() {
PagedTableDoc.initAll();
};
</script>
<style type="text/css">
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
span.underline{text-decoration: underline;}
div.column{display: inline-block; vertical-align: top; width: 50%;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
</style>
<style type="text/css">
code {
white-space: pre;
}
.sourceCode {
overflow: visible;
}
</style>
<style type="text/css" data-origin="pandoc">
pre > code.sourceCode { white-space: pre; position: relative; }
pre > code.sourceCode > span { display: inline-block; line-height: 1.25; }
pre > code.sourceCode > span:empty { height: 1.2em; }
.sourceCode { overflow: visible; }
code.sourceCode > span { color: inherit; text-decoration: inherit; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
pre > code.sourceCode { white-space: pre-wrap; }
pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
}
pre.numberSource code
{ counter-reset: source-line 0; }
pre.numberSource code > span
{ position: relative; left: -4em; counter-increment: source-line; }
pre.numberSource code > span > a:first-child::before
{ content: counter(source-line);
position: relative; left: -1em; text-align: right; vertical-align: baseline;
border: none; display: inline-block;
-webkit-touch-callout: none; -webkit-user-select: none;
-khtml-user-select: none; -moz-user-select: none;
-ms-user-select: none; user-select: none;
padding: 0 4px; width: 4em;
background-color: #232629;
color: #7a7c7d;
}
pre.numberSource { margin-left: 3em; border-left: 1px solid #7a7c7d; padding-left: 4px; }
div.sourceCode
{ color: #cfcfc2; background-color: #232629; }
@media screen {
pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
}
code span { color: #cfcfc2; }
code span.al { color: #95da4c; background-color: #4d1f24; font-weight: bold; }
code span.an { color: #3f8058; }
code span.at { color: #2980b9; }
code span.bn { color: #f67400; }
code span.bu { color: #7f8c8d; }
code span.cf { color: #fdbc4b; font-weight: bold; }
code span.ch { color: #3daee9; }
code span.cn { color: #27aeae; font-weight: bold; }
code span.co { color: #7a7c7d; }
code span.cv { color: #7f8c8d; }
code span.do { color: #a43340; }
code span.dt { color: #2980b9; }
code span.dv { color: #f67400; }
code span.er { color: #da4453; text-decoration: underline; }
code span.ex { color: #0099ff; font-weight: bold; }
code span.fl { color: #f67400; }
code span.fu { color: #8e44ad; }
code span.im { color: #27ae60; }
code span.in { color: #c45b00; }
code span.kw { color: #cfcfc2; font-weight: bold; }
code span.op { color: #cfcfc2; }
code span.ot { color: #27ae60; }
code span.pp { color: #27ae60; }
code span.re { color: #2980b9; background-color: #153042; }
code span.sc { color: #3daee9; }
code span.ss { color: #da4453; }
code span.st { color: #f44f4f; }
code span.va { color: #27aeae; }
code span.vs { color: #da4453; }
code span.wa { color: #da4453; }
</style>
<script>
// apply pandoc div.sourceCode style to pre.sourceCode instead
(function() {
var sheets = document.styleSheets;
for (var i = 0; i < sheets.length; i++) {
if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
try { var rules = sheets[i].cssRules; } catch (e) { continue; }
var j = 0;
while (j < rules.length) {
var rule = rules[j];
// check if there is a div.sourceCode rule
if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") {
j++;
continue;
}
var style = rule.style.cssText;
// check if color or background-color is set
if (rule.style.color === '' && rule.style.backgroundColor === '') {
j++;
continue;
}
// replace div.sourceCode by a pre.sourceCode rule
sheets[i].deleteRule(j);
sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
}
}
})();
</script>
<style type="text/css">
#rmd-source-code {
display: none;
}
</style>
<style type="text/css">
.main-container {
max-width: 940px;
margin-left: auto;
margin-right: auto;
}
img {
max-width:100%;
}
.tabbed-pane {
padding-top: 12px;
}
.html-widget {
margin-bottom: 20px;
}
button.code-folding-btn:focus {
outline: none;
}
summary {
display: list-item;
}
details > summary > p:only-child {
display: inline;
}
pre code {
padding: 0;
}
</style>
<!-- tabsets -->
<style type="text/css">
.tabset-dropdown > .nav-tabs {
display: inline-table;
max-height: 500px;
min-height: 44px;
overflow-y: auto;
border: 1px solid #ddd;
border-radius: 4px;
}
.tabset-dropdown > .nav-tabs > li.active:before, .tabset-dropdown > .nav-tabs.nav-tabs-open:before {
content: "\e259";
font-family: 'Glyphicons Halflings';
display: inline-block;
padding: 10px;
border-right: 1px solid #ddd;
}
.tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
content: "\e258";
font-family: 'Glyphicons Halflings';
border: none;
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.tabset-dropdown > .nav-tabs > li.active {
display: block;
}
.tabset-dropdown > .nav-tabs > li > a,
.tabset-dropdown > .nav-tabs > li > a:focus,
.tabset-dropdown > .nav-tabs > li > a:hover {
border: none;
display: inline-block;
border-radius: 4px;
background-color: transparent;
}
.tabset-dropdown > .nav-tabs.nav-tabs-open > li {
display: block;
float: none;
}
.tabset-dropdown > .nav-tabs > li {
display: none;
}
</style>
<!-- code folding -->
<style type="text/css">
.code-folding-btn { margin-bottom: 4px; }
</style>
<style type="text/css">
#TOC {
margin: 25px 0px 20px 0px;
}
@media (max-width: 768px) {
#TOC {
position: relative;
width: 100%;
}
}
@media print {
.toc-content {
float: right;
}
}
.toc-content {
padding-left: 30px;
padding-right: 40px;
}
div.main-container {
max-width: 1200px;
}
div.tocify {
width: 20%;
max-width: 260px;
max-height: 85%;
}
@media (min-width: 768px) and (max-width: 991px) {
div.tocify {
width: 25%;
}
}
@media (max-width: 767px) {
div.tocify {
width: 100%;
max-width: none;
}
}
.tocify ul, .tocify li {
line-height: 20px;
}
.tocify-subheader .tocify-item {
font-size: 0.90em;
}
.tocify .list-group-item {
border-radius: 0px;
}
</style>
</head>
<body>
<div class="container-fluid main-container">
<!-- setup 3col/9col grid for toc_float and main content -->
<div class="row">
<div class="col-xs-12 col-sm-4 col-md-3">
<div id="TOC" class="tocify">
</div>
</div>
<div class="toc-content col-xs-12 col-sm-8 col-md-9">
<div id="header">
<div class="btn-group pull-right float-right">
<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm dropdown-toggle" data-toggle="dropdown" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button>
<ul class="dropdown-menu dropdown-menu-right" style="min-width: 50px;">
<li><a id="rmd-download-source" href="#">Download Rmd</a></li>
</ul>
</div>
<h1 class="title toc-ignore">Build a regression model: logistic
regression</h1>
</div>
<div id="build-a-logistic-regression-model---lesson-4" class="section level2">
<h2>Build a logistic regression model - Lesson 4</h2>
<div class="float">
<img src="data:text/html; 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alt="Logistic vs. linear regression infographic" />
<div class="figcaption">Logistic vs. linear regression infographic</div>
</div>
<div id="pre-lecture-quiz" class="section level4">
<h4><strong><a href="https://gray-sand-07a10f403.1.azurestaticapps.net/quiz/15/">Pre-lecture
quiz</a></strong></h4>
</div>
<div id="introduction" class="section level4">
<h4>Introduction</h4>
<p>In this final lesson on Regression, one of the basic <em>classic</em>
ML techniques, we will take a look at Logistic Regression. You would use
this technique to discover patterns to predict <code>binary</code>
<code>categories</code>. Is this candy chocolate or not? Is this disease
contagious or not? Will this customer choose this product or not?</p>
<p>In this lesson, you will learn:</p>
<ul>
<li>Techniques for logistic regression</li>
</ul>
<p>✅ Deepen your understanding of working with this type of regression
in this <a href="https://docs.microsoft.com/learn/modules/train-evaluate-classification-models?WT.mc_id=academic-77952-leestott">Learn
module</a></p>
</div>
<div id="prerequisite" class="section level4">
<h4><strong>Prerequisite</strong></h4>
<p>Having worked with the pumpkin data, we are now familiar enough with
it to realize that theres one binary category that we can work with:
<code>Color</code>.</p>
<p>Lets build a logistic regression model to predict that, given some
variables, <em>what color a given pumpkin is likely to be</em> (orange
🎃 or white 👻).</p>
<blockquote>
<p>Why are we talking about binary classification in a lesson grouping
about regression? Only for linguistic convenience, as logistic
regression is <a href="https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression">really
a classification method</a>, albeit a linear-based one. Learn about
other ways to classify data in the next lesson group.</p>
</blockquote>
<p>For this lesson, well require the following packages:</p>
<ul>
<li><p><code>tidyverse</code>: The <a href="https://www.tidyverse.org/">tidyverse</a> is a <a href="https://www.tidyverse.org/packages">collection of R packages</a>
designed to makes data science faster, easier and more fun!</p></li>
<li><p><code>tidymodels</code>: The <a href="https://www.tidymodels.org/">tidymodels</a> framework is a <a href="https://www.tidymodels.org/packages/">collection of packages</a>
for modeling and machine learning.</p></li>
<li><p><code>janitor</code>: The <a href="https://github.com/sfirke/janitor">janitor package</a> provides
simple little tools for examining and cleaning dirty data.</p></li>
<li><p><code>ggbeeswarm</code>: The <a href="https://github.com/eclarke/ggbeeswarm">ggbeeswarm package</a>
provides methods to create beeswarm-style plots using ggplot2.</p></li>
</ul>
<p>You can have them installed as:</p>
<p><code>install.packages(c(&quot;tidyverse&quot;, &quot;tidymodels&quot;, &quot;janitor&quot;, &quot;ggbeeswarm&quot;))</code></p>
<p>Alternately, the script below checks whether you have the packages
required to complete this module and installs them for you in case they
are missing.</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="fu">suppressWarnings</span>(<span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">&quot;pacman&quot;</span>))<span class="fu">install.packages</span>(<span class="st">&quot;pacman&quot;</span>))</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a></span>
<span id="cb1-3"><a href="#cb1-3" tabindex="-1"></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(tidyverse, tidymodels, janitor, ggbeeswarm)</span></code></pre></div>
</div>
</div>
<div id="define-the-question" class="section level2">
<h2><strong>Define the question</strong></h2>
<p>For our purposes, we will express this as a binary: White or Not
White. There is also a striped category in our dataset but there are
few instances of it, so we will not use it. It disappears once we remove
null values from the dataset, anyway.</p>
<blockquote>
<p>🎃 Fun fact, we sometimes call white pumpkins ghost pumpkins. They
arent very easy to carve, so they arent as popular as the orange ones
but they are cool looking! So we could also reformulate our question as:
Ghost or Not Ghost. 👻</p>
</blockquote>
</div>
<div id="about-logistic-regression" class="section level2">
<h2><strong>About logistic regression</strong></h2>
<p>Logistic regression differs from linear regression, which you learned
about previously, in a few important ways.</p>
<div id="binary-classification" class="section level4">
<h4><strong>Binary classification</strong></h4>
<p>Logistic regression does not offer the same features as linear
regression. The former offers a prediction about a
<code>binary category</code> (“orange or not orange”) whereas the latter
is capable of predicting <code>continual values</code>, for example
given the origin of a pumpkin and the time of harvest, <em>how much its
price will rise</em>.</p>
<div class="float">
<img src="data:image/png;base64,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" width="600" alt="Infographic by Dasani Madipalli" />
<div class="figcaption">Infographic by Dasani Madipalli</div>
</div>
</div>
<div id="variables-do-not-have-to-correlate" class="section level4">
<h4><strong>Variables DO NOT have to correlate</strong></h4>
<p>Remember how linear regression worked better with more correlated
variables? Logistic regression is the opposite - the variables dont
have to align. That works for this data which has somewhat weak
correlations.</p>
</div>
<div id="you-need-a-lot-of-clean-data" class="section level4">
<h4><strong>You need a lot of clean data</strong></h4>
<p>Logistic regression will give more accurate results if you use more
data; our small dataset is not optimal for this task, so keep that in
mind.</p>
<p>✅ Think about the types of data that would lend themselves well to
logistic regression</p>
</div>
</div>
<div id="tidy-the-data" class="section level2">
<h2>1. Tidy the data</h2>
<p>Now, the fun begins! Lets start by importing the data, cleaning the
data a bit, dropping rows containing missing values and selecting only
some of the columns:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a><span class="co"># Load the core tidyverse packages</span></span>
<span id="cb2-2"><a href="#cb2-2" tabindex="-1"></a><span class="fu">library</span>(tidyverse)</span>
<span id="cb2-3"><a href="#cb2-3" tabindex="-1"></a></span>
<span id="cb2-4"><a href="#cb2-4" tabindex="-1"></a><span class="co"># Import the data and clean column names</span></span>
<span id="cb2-5"><a href="#cb2-5" tabindex="-1"></a>pumpkins <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="at">file =</span> <span class="st">&quot;https://raw.githubusercontent.com/microsoft/ML-For-Beginners/main/2-Regression/data/US-pumpkins.csv&quot;</span>) <span class="sc">%&gt;%</span> </span>
<span id="cb2-6"><a href="#cb2-6" tabindex="-1"></a> <span class="fu">clean_names</span>()</span>
<span id="cb2-7"><a href="#cb2-7" tabindex="-1"></a></span>
<span id="cb2-8"><a href="#cb2-8" tabindex="-1"></a><span class="co"># Select desired columns</span></span>
<span id="cb2-9"><a href="#cb2-9" tabindex="-1"></a>pumpkins_select <span class="ot">&lt;-</span> pumpkins <span class="sc">%&gt;%</span> </span>
<span id="cb2-10"><a href="#cb2-10" tabindex="-1"></a> <span class="fu">select</span>(<span class="fu">c</span>(city_name, package, variety, origin, item_size, color)) </span>
<span id="cb2-11"><a href="#cb2-11" tabindex="-1"></a></span>
<span id="cb2-12"><a href="#cb2-12" tabindex="-1"></a><span class="co"># Drop rows containing missing values and encode color as factor (category)</span></span>
<span id="cb2-13"><a href="#cb2-13" tabindex="-1"></a>pumpkins_select <span class="ot">&lt;-</span> pumpkins_select <span class="sc">%&gt;%</span> </span>
<span id="cb2-14"><a href="#cb2-14" tabindex="-1"></a> <span class="fu">drop_na</span>() <span class="sc">%&gt;%</span> </span>
<span id="cb2-15"><a href="#cb2-15" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">color =</span> <span class="fu">factor</span>(color))</span>
<span id="cb2-16"><a href="#cb2-16" tabindex="-1"></a></span>
<span id="cb2-17"><a href="#cb2-17" tabindex="-1"></a><span class="co"># View the first few rows</span></span>
<span id="cb2-18"><a href="#cb2-18" tabindex="-1"></a>pumpkins_select <span class="sc">%&gt;%</span> </span>
<span id="cb2-19"><a href="#cb2-19" tabindex="-1"></a> <span class="fu">slice_head</span>(<span class="at">n =</span> <span class="dv">5</span>)</span></code></pre></div>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["city_name"],"name":[1],"type":["chr"],"align":["left"]},{"label":["package"],"name":[2],"type":["chr"],"align":["left"]},{"label":["variety"],"name":[3],"type":["chr"],"align":["left"]},{"label":["origin"],"name":[4],"type":["chr"],"align":["left"]},{"label":["item_size"],"name":[5],"type":["chr"],"align":["left"]},{"label":["color"],"name":[6],"type":["fct"],"align":["left"]}],"data":[{"1":"BALTIMORE","2":"24 inch bins","3":"HOWDEN TYPE","4":"DELAWARE","5":"med","6":"ORANGE"},{"1":"BALTIMORE","2":"24 inch bins","3":"HOWDEN TYPE","4":"VIRGINIA","5":"med","6":"ORANGE"},{"1":"BALTIMORE","2":"24 inch bins","3":"HOWDEN TYPE","4":"MARYLAND","5":"lge","6":"ORANGE"},{"1":"BALTIMORE","2":"24 inch bins","3":"HOWDEN TYPE","4":"MARYLAND","5":"lge","6":"ORANGE"},{"1":"BALTIMORE","2":"36 inch bins","3":"HOWDEN TYPE","4":"MARYLAND","5":"med","6":"ORANGE"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
</script>
</div>
<p>Sometimes, we may want some little more information on our data. We
can have a look at the <code>data</code>, <code>its structure</code> and
the <code>data type</code> of its features by using the <a href="https://pillar.r-lib.org/reference/glimpse.html"><em>glimpse()</em></a>
function as below:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a>pumpkins_select <span class="sc">%&gt;%</span> </span>
<span id="cb3-2"><a href="#cb3-2" tabindex="-1"></a> <span class="fu">glimpse</span>()</span></code></pre></div>
<pre><code>## Rows: 991
## Columns: 6
## $ city_name &lt;chr&gt; &quot;BALTIMORE&quot;, &quot;BALTIMORE&quot;, &quot;BALTIMORE&quot;, &quot;BALTIMORE&quot;, &quot;BALTIMO…
## $ package &lt;chr&gt; &quot;24 inch bins&quot;, &quot;24 inch bins&quot;, &quot;24 inch bins&quot;, &quot;24 inch bin…
## $ variety &lt;chr&gt; &quot;HOWDEN TYPE&quot;, &quot;HOWDEN TYPE&quot;, &quot;HOWDEN TYPE&quot;, &quot;HOWDEN TYPE&quot;, …
## $ origin &lt;chr&gt; &quot;DELAWARE&quot;, &quot;VIRGINIA&quot;, &quot;MARYLAND&quot;, &quot;MARYLAND&quot;, &quot;MARYLAND&quot;, …
## $ item_size &lt;chr&gt; &quot;med&quot;, &quot;med&quot;, &quot;lge&quot;, &quot;lge&quot;, &quot;med&quot;, &quot;lge&quot;, &quot;med&quot;, &quot;lge&quot;, &quot;med…
## $ color &lt;fct&gt; ORANGE, ORANGE, ORANGE, ORANGE, ORANGE, ORANGE, ORANGE, ORAN…</code></pre>
<p>Wow! Seems that all our columns are all of type <em>character</em>,
further alluding that they are all categorical.</p>
<p>Lets confirm that we will actually be doing a binary classification
problem:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" tabindex="-1"></a><span class="co"># Subset distinct observations in outcome column</span></span>
<span id="cb5-2"><a href="#cb5-2" tabindex="-1"></a>pumpkins_select <span class="sc">%&gt;%</span> </span>
<span id="cb5-3"><a href="#cb5-3" tabindex="-1"></a> <span class="fu">distinct</span>(color)</span></code></pre></div>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["color"],"name":[1],"type":["fct"],"align":["left"]}],"data":[{"1":"ORANGE"},{"1":"WHITE"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
</script>
</div>
<p>🥳🥳 That went down well!</p>
</div>
<div id="explore-the-data" class="section level2">
<h2>2. Explore the data</h2>
<p>The goal of data exploration is to try to understand the
<code>relationships</code> between its attributes; in particular, any
apparent correlation between the <em>features</em> and the
<em>label</em> your model will try to predict. One way of doing this is
by using data visualization.</p>
<p>Given our the data types of our columns, we can <code>encode</code>
them and be on our way to making some visualizations. This simply
involves <code>translating</code> a column with
<code>categorical values</code> for example our columns of type
<em>char</em>, into one or more <code>numeric columns</code> that take
the place of the original. - Something we did in our <a href="https://github.com/microsoft/ML-For-Beginners/blob/main/2-Regression/3-Linear/solution/lesson_3.html">last
lesson</a>.</p>
<p>For feature encoding there are two main types of encoders:</p>
<ol style="list-style-type: decimal">
<li><p>Ordinal encoder: it suits well for ordinal variables, which are
categorical variables where their data follows a logical ordering, like
the <code>item_size</code> column in our dataset. It creates a mapping
such that each category is represented by a number, which is the order
of the category in the column.</p></li>
<li><p>Categorical encoder: it suits well for nominal variables, which
are categorical variables where their data does not follow a logical
ordering, like all the features different from <code>item_size</code> in
our dataset. It is a one-hot encoding, which means that each category is
represented by a binary column: the encoded variable is equal to 1 if
the pumpkin belongs to that Variety and 0 otherwise.</p></li>
</ol>
<p>Tidymodels provides yet another neat package: <a href="https://recipes.tidymodels.org/">recipes</a>- a package for
preprocessing data. Well define a <code>recipe</code> that specifies
that all predictor columns should be encoded into a set of integers ,
<code>prep</code> it to estimates the required quantities and statistics
needed by any operations and finally <code>bake</code> to apply the
computations to new data.</p>
<blockquote>
<p>Normally, recipes is usually used as a preprocessor for modelling
where it defines what steps should be applied to a data set in order to
get it ready for modelling. In that case it is <strong>highly
recommend</strong> that you use a <code>workflow()</code> instead of
manually estimating a recipe using prep and bake. Well see all this in
just a moment.</p>
<p>However for now, we are using recipes + prep + bake to specify what
steps should be applied to a data set in order to get it ready for data
analysis and then extract the preprocessed data with the steps
applied.</p>
</blockquote>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a><span class="co"># Preprocess and extract data to allow some data analysis</span></span>
<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a>baked_pumpkins <span class="ot">&lt;-</span> <span class="fu">recipe</span>(color <span class="sc">~</span> ., <span class="at">data =</span> pumpkins_select) <span class="sc">%&gt;%</span></span>
<span id="cb6-3"><a href="#cb6-3" tabindex="-1"></a> <span class="co"># Define ordering for item_size column</span></span>
<span id="cb6-4"><a href="#cb6-4" tabindex="-1"></a> <span class="fu">step_mutate</span>(<span class="at">item_size =</span> <span class="fu">ordered</span>(item_size, <span class="at">levels =</span> <span class="fu">c</span>(<span class="st">&#39;sml&#39;</span>, <span class="st">&#39;med&#39;</span>, <span class="st">&#39;med-lge&#39;</span>, <span class="st">&#39;lge&#39;</span>, <span class="st">&#39;xlge&#39;</span>, <span class="st">&#39;jbo&#39;</span>, <span class="st">&#39;exjbo&#39;</span>))) <span class="sc">%&gt;%</span></span>
<span id="cb6-5"><a href="#cb6-5" tabindex="-1"></a> <span class="co"># Convert factors to numbers using the order defined above (Ordinal encoding)</span></span>
<span id="cb6-6"><a href="#cb6-6" tabindex="-1"></a> <span class="fu">step_integer</span>(item_size, <span class="at">zero_based =</span> F) <span class="sc">%&gt;%</span></span>
<span id="cb6-7"><a href="#cb6-7" tabindex="-1"></a> <span class="co"># Encode all other predictors using one hot encoding</span></span>
<span id="cb6-8"><a href="#cb6-8" tabindex="-1"></a> <span class="fu">step_dummy</span>(<span class="fu">all_nominal</span>(), <span class="sc">-</span><span class="fu">all_outcomes</span>(), <span class="at">one_hot =</span> <span class="cn">TRUE</span>) <span class="sc">%&gt;%</span></span>
<span id="cb6-9"><a href="#cb6-9" tabindex="-1"></a> <span class="fu">prep</span>(<span class="at">data =</span> pumpkin_select) <span class="sc">%&gt;%</span></span>
<span id="cb6-10"><a href="#cb6-10" tabindex="-1"></a> <span class="fu">bake</span>(<span class="at">new_data =</span> <span class="cn">NULL</span>)</span>
<span id="cb6-11"><a href="#cb6-11" tabindex="-1"></a></span>
<span id="cb6-12"><a href="#cb6-12" tabindex="-1"></a><span class="co"># Display the first few rows of preprocessed data</span></span>
<span id="cb6-13"><a href="#cb6-13" tabindex="-1"></a>baked_pumpkins <span class="sc">%&gt;%</span> </span>
<span id="cb6-14"><a href="#cb6-14" tabindex="-1"></a> <span class="fu">slice_head</span>(<span class="at">n =</span> <span class="dv">5</span>)</span></code></pre></div>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["item_size"],"name":[1],"type":["int"],"align":["right"]},{"label":["color"],"name":[2],"type":["fct"],"align":["left"]},{"label":["city_name_ATLANTA"],"name":[3],"type":["dbl"],"align":["right"]},{"label":["city_name_BALTIMORE"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["city_name_BOSTON"],"name":[5],"type":["dbl"],"align":["right"]},{"label":["city_name_CHICAGO"],"name":[6],"type":["dbl"],"align":["right"]},{"label":["city_name_COLUMBIA"],"name":[7],"type":["dbl"],"align":["right"]},{"label":["city_name_DALLAS"],"name":[8],"type":["dbl"],"align":["right"]},{"label":["city_name_DETROIT"],"name":[9],"type":["dbl"],"align":["right"]},{"label":["city_name_LOS.ANGELES"],"name":[10],"type":["dbl"],"align":["right"]},{"label":["city_name_MIAMI"],"name":[11],"type":["dbl"],"align":["right"]},{"label":["city_name_NEW.YORK"],"name":[12],"type":["dbl"],"align":["right"]},{"label":["city_name_PHILADELPHIA"],"name":[13],"type":["dbl"],"align":["right"]},{"label":["city_name_SAN.FRANCISCO"],"name":[14],"type":["dbl"],"align":["right"]},{"label":["city_name_ST..LOUIS"],"name":[15],"type":["dbl"],"align":["right"]},{"label":["package_X1.1.9.bushel.cartons"],"name":[16],"type":["dbl"],"align":["right"]},{"label":["package_X1.1.9.bushel.crates"],"name":[17],"type":["dbl"],"align":["right"]},{"label":["package_X1.2.bushel.cartons"],"name":[18],"type":["dbl"],"align":["right"]},{"label":["package_X24.inch.bins"],"name":[19],"type":["dbl"],"align":["right"]},{"label":["package_X36.inch.bins"],"name":[20],"type":["dbl"],"align":["right"]},{"label":["package_bins"],"name":[21],"type":["dbl"],"align":["right"]},{"label":["package_bushel.cartons"],"name":[22],"type":["dbl"],"align":["right"]},{"label":["variety_BIG.MACK.TYPE"],"name":[23],"type":["dbl"],"align":["right"]},{"label":["variety_BLUE.TYPE"],"name":[24],"type":["dbl"],"align":["right"]},{"label":["variety_CINDERELLA"],"name":[25],"type":["dbl"],"align":["right"]},{"label":["variety_FAIRYTALE"],"name":[26],"type":["dbl"],"align":["right"]},{"label":["variety_HOWDEN.TYPE"],"name":[27],"type":["dbl"],"align":["right"]},{"label":["variety_HOWDEN.WHITE.TYPE"],"name":[28],"type":["dbl"],"align":["right"]},{"label":["variety_KNUCKLE.HEAD"],"name":[29],"type":["dbl"],"align":["right"]},{"label":["variety_MINIATURE"],"name":[30],"type":["dbl"],"align":["right"]},{"label":["variety_PIE.TYPE"],"name":[31],"type":["dbl"],"align":["right"]},{"label":["origin_ALABAMA"],"name":[32],"type":["dbl"],"align":["right"]},{"label":["origin_CALIFORNIA"],"name":[33],"type":["dbl"],"align":["right"]},{"label":["origin_CANADA"],"name":[34],"type":["dbl"],"align":["right"]},{"label":["origin_DELAWARE"],"name":[35],"type":["dbl"],"align":["right"]},{"label":["origin_ILLINOIS"],"name":[36],"type":["dbl"],"align":["right"]},{"label":["origin_MARYLAND"],"name":[37],"type":["dbl"],"align":["right"]},{"label":["origin_MASSACHUSETTS"],"name":[38],"type":["dbl"],"align":["right"]},{"label":["origin_MEXICO"],"name":[39],"type":["dbl"],"align":["right"]},{"label":["origin_MICHIGAN"],"name":[40],"type":["dbl"],"align":["right"]},{"label":["origin_NEW.JERSEY"],"name":[41],"type":["dbl"],"align":["right"]},{"label":["origin_NEW.YORK"],"name":[42],"type":["dbl"],"align":["right"]},{"label":["origin_NORTH.CAROLINA"],"name":[43],"type":["dbl"],"align":["right"]},{"label":["origin_OHIO"],"name":[44],"type":["dbl"],"align":["right"]},{"label":["origin_PENNSYLVANIA"],"name":[45],"type":["dbl"],"align":["right"]},{"label":["origin_TENNESSEE"],"name":[46],"type":["dbl"],"align":["right"]},{"label":["origin_TEXAS"],"name":[47],"type":["dbl"],"align":["right"]},{"label":["origin_VERMONT"],"name":[48],"type":["dbl"],"align":["right"]},{"label":["origin_VIRGINIA"],"name":[49],"type":["dbl"],"align":["right"]}],"data":[{"1":"2","2":"ORANGE","3":"0","4":"1","5":"0","6":"0","7":"0","8":"0","9":"0","10":"0","11":"0","12":"0","13":"0","14":"0","15":"0","16":"0","17":"0","18":"0","19":"1","20":"0","21":"0","22":"0","23":"0","24":"0","25":"0","26":"0","27":"1","28":"0","29":"0","30":"0","31":"0","32":"0","33":"0","34":"0","35":"1","36":"0","37":"0","38":"0","39":"0","40":"0","41":"0","42":"0","43":"0","44":"0","45":"0","46":"0","47":"0","48":"0","49":"0"},{"1":"2","2":"ORANGE","3":"0","4":"1","5":"0","6":"0","7":"0","8":"0","9":"0","10":"0","11":"0","12":"0","13":"0","14":"0","15":"0","16":"0","17":"0","18":"0","19":"1","20":"0","21":"0","22":"0","23":"0","24":"0","25":"0","26":"0","27":"1","28":"0","29":"0","30":"0","31":"0","32":"0","33":"0","34":"0","35":"0","36":"0","37":"0","38":"0","39":"0","40":"0","41":"0","42":"0","43":"0","44":"0","45":"0","46":"0","47":"0","48":"0","49":"1"},{"1":"4","2":"ORANGE","3":"0","4":"1","5":"0","6":"0","7":"0","8":"0","9":"0","10":"0","11":"0","12":"0","13":"0","14":"0","15":"0","16":"0","17":"0","18":"0","19":"1","20":"0","21":"0","22":"0","23":"0","24":"0","25":"0","26":"0","27":"1","28":"0","29":"0","30":"0","31":"0","32":"0","33":"0","34":"0","35":"0",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</div>
<p>Now, lets make a categorical plot showing the distribution of the
predictors with respect to the outcome color!</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" tabindex="-1"></a><span class="co"># Specify colors for each value of the hue variable</span></span>
<span id="cb7-2"><a href="#cb7-2" tabindex="-1"></a>palette <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="at">ORANGE =</span> <span class="st">&quot;orange&quot;</span>, <span class="at">WHITE =</span> <span class="st">&quot;wheat&quot;</span>)</span>
<span id="cb7-3"><a href="#cb7-3" tabindex="-1"></a></span>
<span id="cb7-4"><a href="#cb7-4" tabindex="-1"></a><span class="co"># Create the bar plot</span></span>
<span id="cb7-5"><a href="#cb7-5" tabindex="-1"></a><span class="fu">ggplot</span>(pumpkins_select, <span class="fu">aes</span>(<span class="at">y =</span> variety, <span class="at">fill =</span> color)) <span class="sc">+</span></span>
<span id="cb7-6"><a href="#cb7-6" tabindex="-1"></a> <span class="fu">geom_bar</span>(<span class="at">position =</span> <span class="st">&quot;dodge&quot;</span>) <span class="sc">+</span></span>
<span id="cb7-7"><a href="#cb7-7" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> palette) <span class="sc">+</span></span>
<span id="cb7-8"><a href="#cb7-8" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">y =</span> <span class="st">&quot;Variety&quot;</span>, <span class="at">fill =</span> <span class="st">&quot;Color&quot;</span>) <span class="sc">+</span></span>
<span id="cb7-9"><a href="#cb7-9" tabindex="-1"></a> <span class="fu">theme_minimal</span>()</span></code></pre></div>
<p><img 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PATIADqp8K2jBDYsWNHRvSDTiCAAAIIIIAAAggggAACCCCAAAIIZK9ATvZ2nZ4HTWDTpk329ttv27Rp02z16tX2yy+/2CGHHGK1a9e29u3bW/fu3S03NzfPZT/44IP23XffWe/eva1t27ah/StXrrQ///nP7nXfvn2tefPmoX3RTzZu3Gh33HGH2zxixAjLyfm/X42nnnrK5s2bF13dypQpY+XKlbPq1avbWWedZeedd57blqfiwQ3PPPOMffrpp367fLd17drV9OOVUaNG2Zw5c7yXeR5ldOihh1r9+vWtU6dOVqdOnTx1CtKHRYsW2dChQ61ChQr25JNP5mnbb0Mqx/i1M2TIEFuyZIl7Hzz++ONWtmxZv2psQwABBBBAAAEEEEAAAQQQQAABBGIKEACNScOOohSYOXOmDRo0yLZu3epOq6CeAnk//fSTrVixwv28+uqrpiCYAn3h5dtvv7Xly5ebAqjhZefOnbZ06VK36eGHH7YXXnjBBQrD63jP9+7dG6rrbdPjmjVrfLeH11HA9rnnnrN+/fpZ69atw3e55z/++GPCNsIP0jWHlx9++CGp42X42muvOcfTTjstvAkrSB+2b9/uzu8XfI44SdiLVI4JO9w9lcOkSZNs//797vWMGTOsXbt20dV4jQACCCCAAAIIIIAAAggggAACCMQVIAAal4edRSHw/vvv2/333+9O1apVK7vqqqvshBNOCJ16wYIFNmzYMBeEu+2220wZmsoKzU/573//a8OHD7c777wzP4eF6l5wwQXWs2fP0GsFTBXk++abb2zChAkuA/WBBx6w0aNH23HHHReqF/5EWaJ9+vQJ3+T7vGrVqr7bL774YhdkDd954MAB27JliynbVQHexYsX2+23325jxoyxWrVqhVd1zwvahzwNFuKGqVOnuuCnsnqnT59ur7/+OgHQQvSmaQQQQAABBBBAAAEEEEAAAQSCKkAANKh3NkuuS4HJv/zlL663zZo1c0PWS5eOnJq2adOmLvNTw9g1NF7Zlvfee2/SV1iqVClToHDy5MnWpk0ba9GiRdLHehWrVKmSJ/NU+5RpqcCk+qMMzIceesg0ZN1vqPbhhx/u24Z3jkSPalND3aNLxYoVXbDz1FNPtSuuuMKUMTp79mw3ZUB03YL2Ibq9wnz95ptvuuavv/56mz9/vpuKQIHeevXqFeZpaRsBBBBAAAEEEEAAAQQQQAABBAImEBlpCtjFcTmZLzB+/Hjbtm2bHXbYYXbfffdZdPDTu4JKlSrZNddc415+8sknoaHy3v54j2q7S5cursqjjz7qMjfj1c/vPs0Fqr5XrlzZDcUfO3ZsfptIS33N0ekFd+fOnZuWNourEWX9al5XTYOgbF9vbteJEycWV5c4LwIIIIAAAggggAACCCCAAAIIZKkAAdAsvXFB6LayMt999113KVrASAsKxSuaX3PkyJH2xhtvmAKi+Sk33XSTHXnkkaaM02QX8slP+8rM7NixoztEwbviKt9//707dfny5YurC2k5r5f96c2pqkWwVLRIlhbHoiCAAAIIIIAAAggggAACCCCAAALJChAATVaKemkX0MI869evd+3Gmjcz/KRaeb1x48ahFdrD9yV6rgClN/+ngmsaIp7ucvrpp7smtShTcRRlxnor1p9yyinF0YW0nHPHjh2meWFVtKq9SpMmTVw2qOZd9YLmbgf/QQABBBBAAAEEEEAAAQQQQAABBBIIMAdoAiB2F55A+GrnRTGv4xlnnGEXXnihyyB97LHH3KJBmj8zXaVatWquKQV2laWolezDy6effppw7lLNNfr73/8+/LDQcwVWvcxIb+Pu3btt7dq1tmrVKlMAVEVBYm/Iv1fPeyxoH7x2CvNRCx7Jr1GjRnbssceGTtW5c2c3v6oWQ9J9LGj5+eefbd++fQVtpsDHe6vcJ9OQMpgpJUtA7w9ly3PvS9Z9T3S1ek94ZdeuXbw/PAwenYD3/tiwYQMiCEQIhP+7R/9f0Tz5FAQ8AX12KNlAyQiU5AW0xkK2j75L/mqpiUB2CxAAze77l9W91+rlKvrH1xFHHFEk19K/f3+bM2dOaCj8gAED0nZeL5iqfzwoKBkevNNJtDiRfuKVGjVqxNyteT3jze2pOUAvuugiu+6660zZsn6loH3wazPd2zTFgYoCnuFF2aDPPPOMLV261JYsWeICpOH78/tcfwSE/yGQ3+OLo3629bc4jIJ6Tu59UO9seq6L90d6HIPWCu+LoN3R9F5Pfr6ATe+ZaS2TBXhf5P/ueF865f9IjkAAgaIWIABa1OKcLySgxYlU9D+NdevWuZXMQzsL6YmGwt911112++2321tvveVWhT/rrLPScrbwDC0vGzS8YZ1HK8bHK9FZo+F1GzRo4Fad17Y9e/aEVnvXP1TU7q233ppweoCC9iG8P4XxXJmsixYtMq1478376Z1Hc8RqmgEFsJUFqgzRIJVD37s24eVs674iYR0qIIAAAggggAACCCCAAAIIIIBApAAB0EgPXhWhQHjW58qVK4skAKrL00rpypScPHmyeUPh03HZXnanMkH9FmlSdufZZ5+d8qmaNm1qN9xwQ8TxChYqmKvV0RUUTZTRWtA+RJy8EF4oKK2ioG6fPn3ynMEbkvPee++Zsnn9nPMcFGODFsXKhG9st23bZvpJpsTLEE7meOpkn8DmzZtNU10kWiQu+66MHhdEYO/eveZNI6Nhd5o+hYKAJ6BpETZu3OhG1+Tk8E99z4VHc58b+vxQOeqooxgCz5siQkAj2PR3jDeqLWInL2IKMJVETBp2IJBxAvyrKONuScnpUM2aNd0/zvVHnOa3TCY4qIWMFATq2rWr1a9fP2UsBc80H6ayNocNG+aGjafc2P8OVPaiSq1atf63pfAftDjQoEGD3LyhCh4ec8wx1qtXr8I/cSGcQf8g1yrvKrm5ub7D0/WHvoJB+uNOdXv27FmgnmTCP1jy04f81C0QDAdnjIDuufeTMZ2iI8UuEP1ZEP262DtIB4pVwHs/8NlRrLch40/O+yPjb1GRd9B7T3ifIUXeAU6IAAIIFLIAq8AXMjDNxxbQ/1xbtWrlKsycOTN2xf/t+frrr23WrFk2YcKEhHUTVVCA7e6773bVFEhL5vzx2ty6datNmjTJVWnbtm28qmnfp2HhPXr0cO2OGDEi7jyhaT95GhucPXu2acEGZXUqo1UZun4/Cn6raBg8BQEEEEAAAQQQQAABBBBAAAEEEEgkQAA0kRD7C1VAgTst2LNgwYJQ9p/fCTW8e+jQoW6XVjkvSPan174Ch14wbfjw4d7mlB61OI8WdVJgtVu3bim1UZCD+vbta3Xq1HFDujWsX6uoZ1vxVrhXAFlzgMYq3grwq1evti+//DJWNbYjgAACCCCAAAIIIIAAAggggAACToAAKG+EYhXQkO3LLrvM9WHw4MH2/PPP25o1ayL6pLk1NbflV199ZeXKlbObb745Yn9BXtx4441uDqSdO3fmqxkNwf7uu+9MWYu33HJLKCv1+uuvL5Z5czQ0XNMDqPz44482evTofF1PcVdW5qeye1U6duwYtztaDMoLgKcjGzjuydiJAAIIIIAAAggggAACCCCAAAJZL8AcoFl/C7P/AhQ01CIwGkL+3HPPuR/No3niiSe6YN7y5ctN80MqU/T++++3k046KW0X7Q2Fv+222+K2OWbMGHvllVdCdfbt2xd6ricazq8Firp37x6xPfyFgnXeMPnw7dHPtTjU+PHjozcnfN2sWTOX0apzjBs3zq2i3rBhw4jjCtIHLUDUpk2biPaiXzz99NMRq7Mne8y8efPcnJ+671rsKVFRFqgygmfMmOGGzVetWjXRIexHAAEEEEAAAQQQQAABBBBAAIESKkAGaAm98Zl02aVLl7Y77rjDHnroITv55JNd15T1OX36dNO8n1qpu3379vbSSy9Z69at09715s2bh4bCx2pcfVDQ0/tRMFariCsY27t3bxs7dqxdfvnlsQ4PbfeOT/QYOiCfTzQUvlq1am4V9UcffdQFjqObSHRub3/0cXrt7Yv16Leqeqy63nYd4w1/P//88/1Om2eb6mmYvNrQPKEUBBBAAAEEEEAAAQQQQAABBBBAIJZAqYPBhwOxdrIdgeIQUNbgunXrbNOmTW6VeK0Wn5NDsnJx3AvOWfgCyn7WIlpHvXZ8wpOVvnFHwjpUCJbA5s2bbffu3Va9evVgXRhXUyABjYpYv369a0NToJAFXyDOwB2saXo0tYw+N/j3U+Bub4EuSJ8b+vxQqVGjhhvBVKAGOThQAmvXrnVTeVWsWDFQ18XFIIAAAp4AUSVPgseMEdCw9Hr16mVMf+gIAggggAACCCCAAAIIIIAAAggggED2CjAEPnvvHT1HAAEEEEAAAQQQQAABBBBAAAEEEEAAgQQCBEATALEbAQQQQAABBBBAAAEEEEAAAQQQQAABBLJXgABo9t47eo4AAggggAACCCCAAAIIIIAAAggggAACCQQIgCYAYjcCCCCAAAIIIIAAAggggAACCCCAAAIIZK8AAdDsvXf0HAEEEEAAAQQQQAABBBBAAAEEEEAAAQQSCBAATQDEbgQQQAABBBBAAAEEEEAAAQQQQAABBBDIXgECoNl77+g5AggggAACCCCAAAIIIIAAAggggAACCCQQIACaAIjdCCCAAAIIIIAAAggggAACCCCAAAIIIJC9AgRAs/fe0XMEEEAAAQQQQAABBBBAAAEEEEAAAQQQSCBAADQBELsRQAABBBBAAAEEEEAAAQQQQAABBBBAIHsFCIBm772j5wgggAACCCCAAAIIIIAAAggggAACCCCQQIAAaAIgdiOAAAIIIIAAAggggAACCCCAAAIIIIBA9goQAM3ee0fPEUAAAQQQQAABBBBAAAEEEEAAAQQQQCCBAAHQBEDsRgABBBBAAAEEEEAAAQQQQAABBBBAAIHsFSAAmr33jp4jgAACCCCAAAIIIIAAAggggAACCCCAQAIBAqAJgNiNAAIIIIAAAggggAACCCCAAAIIIIAAAtkrQAA0e+8dPUcAAQQQQAABBBBAAAEEEEAAAQQQQACBBAIEQBMAsRsBBBBAAAEEEEAAAQQQQAABBBBAAAEEsleAAGj23jt6jgACCCCAAAIIIIAAAggggAACCCCAAAIJBAiAJgBiNwIIIIAAAggggAACCCCAAAIIIIAAAghkrwAB0Oy9d/QcAQQQQAABBBBAAAEEEEAAAQQQQAABBBIIEABNAMRuBBBAAAEEEEAAAQQQQAABBBBAAAEEEMheAQKg2Xvv6DkCCCCAAAIIIIAAAggggAACCCCAAAIIJBAgAJoAiN0IIIAAAggggAACCCCAAAIIIIAAAgggkL0CBECz997RcwQQQAABBBBAAAEEEEAAAQQQQAABBBBIIEAANAEQuxFAAAEEEEAAAQQQQAABBBBAAAEEEEAgewUIgGbvvaPnCCCAAAIIIIAAAggggAACCCCAAAIIIJBAgABoAiB2I4AAAggggAACCCCAAAIIIIAAAggggED2ChAAzd57R88RQAABBBBAAAEEEEAAAQQQQAABBBBAIIEAAdAEQOxGAAEEEEAAAQQQQAABBBBAAAEEEEAAgewVIACavfeOniOAAAIIIIAAAggggAACCCCAAAIIIIBAAgECoAmA2I0AAggggAACCCCAAAIIIIAAAggggAAC2SuQk71dp+cIIIBAcATWdV9hhx9+uOXm5gbnorgSBBBAAAEEEEAAAQQQQAABBDJAgAzQDLgJdAEBBBBAAAEEEEAAAQQQQAABBBBAAAEECkeAAGjhuNIqAggggAACCCCAAAIIIIAAAggggAACCGSAAAHQDLgJdAEBBBBAAAEEEEAAAQQQQAABBBBAAAEECkeAAGjhuNIqAggggAACCCCAAAIIIIAAAggggAACCGSAAAHQDLgJdAEBBBBAAAEEEEAAAQQQQAABBBBAAAEECkeAAGjhuNIqAggggAACCCCAAAIIIIAAAggggAACCGSAAAHQDLgJdAEBBBBAAAEEEEAAAQQQQAABBBBAAAEECkeAAGjhuNIqAggggAACCCCAAAIIIIAAAggggAACCGSAQE4G9IEuIIAAAiVe4KjXjncG++NIlL5xR5y97EIAAQQQQAABBBBAAAEEEEAAAT8BMkD9VNiGAAIIIIAAAggggAACCCCAAAIIIIAAAoEQIAAaiNvIRSCAAAIIIIAAAggggAACCCCAAAIIIICAnwABUD8VtiGAAAIIIIAAAggggAACCCCAAAIIIIBAIAQIgAbiNnIRCCCAAAIIIIAAAggggAACCCCAAAIIIOAnQADUT4VtCCCAAAIIIIAAAggggAACCCCAAAIIIBAIAQKggbiNXAQCCCCAAAIIIIAAAggggAACCCCAAAII+AkQAPVTYRsCCCCAAAIIIIAAAggggAACCCCAAAIIBEKAAGggbiMXgQACCCCAAAIIIIAAAggggAACCCCAAAJ+AgRA/VTYhgACCCCAAAIIIIAAAggggAACCCCAAAKBECAAGojbyEUggAACCCCAAAIIIIAAAggggAACCCCAgJ8AAVA/FbYhgAACCCCAAAIIIIAAAggggAACCCCAQCAECIAG4jZyEQgggAACCCCAAAIIIIAAAggggAACCCDgJ0AA1E+FbQgggAACCCCAAAIIIIAAAggggAACCCAQCAECoIG4jVwEAggggAACCCCAAAIIIIAAAggggAACCPgJEAD1U2EbAggggAACCCCAAAIIIIAAAggggAACCARCgABoIG4jF4EAAggggAACCCCAAAIIIIAAAggggAACfgIEQP1U2IYAAggggAACCCCAAAIIIIAAAggggAACgRAgABqI28hFIIAAAggggAACCCCAAAIIIIAAAggggICfAAFQPxW2IYAAAggggAACCCCAAAIIIIAAAggggEAgBAiABuI2chEIIIAAAggggAACCCCAAAIIIIAAAggg4CdAANRPhW0IIIAAAggggAACCCCAAAIIIIAAAgggEAgBAqCBuI1cBAIIIIAAAggggAACCCCAAAIIIIAAAgj4CRAA9VNhGwIIIIAAAggggAACCCCAAAIIIIAAAggEQoAAaCBuIxeBAAIIIIAAAggggAACCCCAAAIIIGttMvkAAEAASURBVIAAAn4CBED9VNiGAAIIIIAAAggggAACCCCAAAIIIIAAAoEQIAAaiNvIRSCAAAIIIIAAAggggAACCCCAAAIIIICAnwABUD8VtiGAAAIIIIAAAggggAACCCCAAAIIIIBAIAQIgAbiNnIRCCCAAAIIIIAAAggggAACCCCAAAIIIOAnQADUT4VtCCCAAAIIIIAAAggggAACCCCAAAIIIBAIAQKggbiNXAQCCCCAAAIIIIAAAggggAACCCCAAAII+AkQAPVTYRsCCCCAAAIIIIAAAggggAACCCCAAAIIBEKAAGggbiMXgQACCCCAAAIIIIAAAggggAACCCCAAAJ+AgRA/VTYhgACCCCAAAIIIIAAAggggAACCCCAAAKBEMgJxFVwESVeYPDgwfbNN9/kcShTpozVqVPHjj32WGvcuLGdeuqpeeosWrTIhg4dahUqVLAnn3wyz/5YG0aNGmVz5syx9u3b2+WXXx6rmts+YsQImzt3rnXo0MEuu+wyt23dunV2zz33xD0ueufo0aOjN+V5feONN9quXbvybI+3oVu3bjZx4kQ7cOCAderUyXr06BGvuu3du9fuvfdeW79+vTVr1sz69+/v6j/11FM2b94832Nzc3OtYsWKVq9ePevYsaPVrVs3ol5heUSchBcIIIAAAggggAACCCCAAAIIIFDiBAiAlrhbHswLXrVqlS1dutT34hYvXhza3qdPH7v22mutVKlSoW3bt293xypAl5/yww8/uON+9atfJTzMq3vyySeH6u7Zsydmn0OVUniybNky27lzZ76OzMnJsSZNmtj48eNt5cqV1qJFizwByvAGX375Zfv4449NZoMGDQrtWrNmTcJr+uijj+yFF15wgWAvcKoGCssj1DmeIIAAAggggAACCCCAAAIIIIBAiRQgAFoib3twL1qZmMou9IqCalu2bLHZs2e74N6//vUvl4XYq1cvr0pGPA4bNswqVaqUlr4o23T//v3/X3t3Am/XdC8OfBEhE0k0hiaGIDGPUVJjY/oYoqYKT0uLD8Er8tqP8NT0pyilhqIoTx411TNPiSmUEtQc89wKkhBJJIYY//3t9/bpufeee+7NyU1yhu/6fI6zz9577b3Wdx3nnvzOGppca+zYsSnqHr0uTzzxxCbH4sVSSy2VhgwZksaNG5ciiHnaaael6M254IItZ8l4++2306hRo7JrjBgxIi299NItrrfDDjukYcOGNdkfvUanT5+errrqqvT000+nP//5z1lv0KFDhzY5L150pEeLi9tBgAABAgQIECBAgAABAgQINJSAAGhDNXf9V7ZPnz5pwIABLSo6ePDg1KtXrxRDyO+///5UbQHQGBYe5euItOKKK7a4zHPPPZftW2SRRUr65Bl+9atfZcPZx48fn2688cYWQ+EjsPqb3/wm66252WabpQh0lkq9e/du9T4bbLBBivs8/PDD6dZbb02lAqAd6VGqfPYRIECAAAECBAgQIECAAAECjSPQsntX49RdTRtMYJNNNslqHEPlv/jiiwarffuqu/baaxd6bl588cXp/fffb5LxuuuuSzGlQAQ4R44c2eRYe19Er9KYNzXSq6++Otvzlbb3Ps4jQIAAAQIECBAgQIAAAQIECISAAKj3QcMIxDyckQYOHJgWXnjhhqn37FZ0+PDhaZlllkmff/55OvPMMwvZw++SSy7JXh911FFZELRwcDY3Ysh9pBgWHw+JAAECBAgQIECAAAECBAgQIDC3BAyBn1uyrltVAsXzVpYacl1VhZ3PhYlh8kcffXQ2FD5WuX/ggQey+UHPOuusrOfsjjvumPLetJUW9amnnsqyLrnkkql79+6VXmaO8sX8sLHq/fxOX3/9dbuLoOdyu6nq5sR4f8T7VNvXTZN2SEWKPzdiahLvjw5hrZuL5D8sxt+55nOC100lVaQigeLvPfG5UbwoaEUXlKmuBOL9EX9f/E2ZvWaNxWRLrZswe1dxNgEC80JAAHReKLvHPBO4+eab0yOPPFK4X/wRnzFjRopV4uOP+hFHHJF23nnnwvFq2Yh5Ndvqlbrbbrul9dZbb54UOYbC77HHHtlCReedd1769NNP02OPPZb69u2bDjvssIrLEP8YGz16dLr88suza7Q2h+i88Jg6dWr2Ja/iysyHjFOmTJkPd3XLahDQ9tXQCtVZhvhc9f6ozraZ36WaNm3a/C6C+1exwEcffVTFpVO0+SUQ3/njIbVfIKYG69KlS/szOJMAgfkmIAA63+jdeG4ITJgwIcWjVIoAYwzrjt4Q1fYrXXHQtlTZY9/GG2/c2qG5sv/AAw/MgsnvvPNOtvBR9BI45phjUrdu3dq83x133JEFTItP/Pjjj7N/pOc9l1ZZZZW0zz77FJ9S2K5Gj0LhbBAgQIAAAQIECBAgQIAAAQI1JSAAWlPNpbBtCUQvyS222KJwWgwDmzx5craYzw033JDOP//8NHbs2HT66ad32KrrhZvNwcbxxx/fZmAx5i6dlymGwsdq7Yccckh227322itFz9D2pOh1UqrnSQShY37RXXfdNeuJG0NGSqV54RG/1FbD0MDovZUPVyxlUbyva9euxS9tN4BADEOL96meBQ3Q2LNRxXhPzJo1K8sRP+jF57VEIBfIh7DG+6LafvDNy+h5/ghER4B8GHz8XTEEfv60Q7Xe9bPPPkvx3bxz587VWsSqLFenTp2qslwKRYBAS4HS0YeW59lDoCYEYoj2uuuuW7KsMXflQQcdlK1ifuWVV2ZzXJY8sZ07839wtmeenJkzZ2ZXbS2IscEGG1RVQDYnWHPNNbN/WMc/tKOM7U0xz+qee+7Z5PRevXq1e+GkeeGx2GKLNSnf/HoR742YpqE9KQylxhKYPn16NheXtm+sdm+rtvGjyQcffJCdFv9Q9f5oS6yxjsff7BjeHH/nWvuhsbFE1DYXiM+N/EfX+NwQAM1lPIdABMjjx/YePXoAIUCAQF0KCIDWZbOqVCmBWHl8s802SzFP6JNPPlnqlNnat+iii2bn58HNcpk//PDD7HCjfKGIL9UrrLBCORLHCBAgQIAAAQIECBAgQIAAAQLzRGDBeXIXNyFQJQLf+c53spLkw3/mpFgRUI305ptvlr1MPgw/Tlp66aXLnusgAQIECBAgQIAAAQIECBAgQIBAxwoIgHasp6tVsUDMmTZu3LishDG0e07ToEGDsku8/fbb6cEHH2z1cmPGjEmffPJJdnydddZp9TwHCBAgQIAAAQIECBAgQIAAAQIEOl5AALTjTV2xygRijs5XX301/b//9/+y+T9jvqOtttpqjku50korpbXWWiu7zoknnpgFQWPunOJ09913p4suuijbtc0226TFF1+8+LBtAgQIECBAgAABAgQIECBAgACBuSxgDtC5DOzy81bgggsuSBdeeGHhpjHUvflK38OHD0/rrbde4Zx849NPP01DhgzJX5Z8jmuvttpqhWNHHXVUGjFiRJoyZUo65phjUqwCOGDAgBQrsL733nsprhkp9h122GGFfM03dtlll+a7Sr4eOXJkigWG6j3xqPcWVj8CBAgQIECAAAECBAgQIDDvBARA5521O80DgQh4RvCxOPXu3Tv16dMnC0LuvvvuaeWVVy4+3GS7ed4mB//5ovncocsvv3y67LLL0n/913+lsWPHplgQ6ZVXXilkix6fsfr83nvvna2qWDjQbKOt++anNw/m5vvr7ZlHvbWo+hAgQIAAAQIECBAgQIAAgfknsMA/Azrfzr/buzOB+hH48ssv08SJE9NHH32UYpj9EksskZZccsmsV2j91FJNOlogguYzZsxIS924UpuXXvDn/9ujuM0TnVA3AtOnT08xjUd8nkgEcoFYXO+DDz7IXi6yyCKmV8lhPGcCs2bNyr6LxOfGQgvp6+Bt8S+B+NyIz49IsTBnfF+VCOQC8e+YHj16ZI98n2cCBAjUk4BvRfXUmuoyXwU6d+6cll122ewxXwvi5gQIECBAgAABAgQIECBAgAABAgUBiyAVKGwQIECAAAECBAgQIECAAAECBAgQIFBvAgKg9dai6kOAAAECBAgQIECAAAECBAgQIECAQEFAALRAYYMAAQIECBAgQIAAAQIECBAgQIAAgXoTEACttxZVHwIECBAgQIAAAQIECBAgQIAAAQIECgICoAUKGwQIECBAgAABAgQIECBAgAABAgQI1JuAAGi9taj6ECBAgAABAgQIECBAgAABAgQIECBQEBAALVDYIECAAAECBAgQIECAAAECBAgQIECg3gQEQOutRdWHAAECBAgQIECAAAECBAgQIECAAIGCgABogcIGAQIECBAgQIAAAQIECBAgQIAAAQL1JiAAWm8tqj4ECBAgQIAAAQIECBAgQIAAAQIECBQEBEALFDYIECBAgAABAgQIECBAgAABAgQIEKg3AQHQemtR9SFAgAABAgQIECBAgAABAgQIECBAoCAgAFqgsEGAAAECBAgQIECAAAECBAgQIECAQL0JCIDWW4uqDwECBAgQIECAAAECBAgQIECAAAECBQEB0AKFDQIECBAgQIAAAQIECBAgQIAAAQIE6k1AALTeWlR9CBAgQIAAAQIECBAgQIAAAQIECBAoCAiAFihsECBAgAABAgQIECBAgAABAgQIECBQbwICoPXWoupDgAABAgQIECBAgAABAgQIECBAgEBBQAC0QGGDAAECBAgQIECAAAECBAgQIECAAIF6ExAArbcWVR8CBAgQIECAAAECBAgQIECAAAECBAoCAqAFChsECBAgQIAAAQIECBAgQIAAAQIECNSbgABovbWo+hAgQIAAAQIECBAgQIAAAQIECBAgUBAQAC1Q2CBAgAABAgQIECBAgAABAgQIECBAoN4EBEDrrUXVhwABAgQIECBAgAABAgQIECBAgACBgoAAaIHCBgECBAgQIECAAAECBAgQIECAAAEC9SYgAFpvLao+BAgQIECAAAECBAgQIECAAAECBAgUBARACxQ2CBAgQIAAAQIECBAgQIAAAQIECBCoNwEB0HprUfUhQIAAAQIECBAgQIAAAQIECBAgQKAgIABaoLBBgAABAgQIECBAgAABAgQIECBAgEC9CQiA1luLqg8BAgQIECBAgAABAgQIECBAgAABAgUBAdAChQ0CBAgQIECAAAECBAgQIECAAAECBOpNYKF6q5D6ECBAoBYFJu32RurZs2fq1q1bLRZfmQkQIECAAAECBAgQIECAQNUK6AFatU2jYAQIECBAgAABAgQIECBAgAABAgQIzKmAAOicCspPgAABAgQIECBAgAABAgQIECBAgEDVCgiAVm3TKBgBAgQIECBAgAABAgQIECBAgAABAnMqIAA6p4LyEyBAgAABAgQIECBAgAABAgQIECBQtQICoFXbNApGgAABAgQIECBAgAABAgQIECBAgMCcCgiAzqmg/AQIECBAgAABAgQIECBAgAABAgQIVK2AAGjVNo2CESBAgAABAgQIECBAgAABAgQIECAwpwICoHMqKD8BAgQIECBAgAABAgQIECBAgAABAlUrIABatU2jYAQIECBAgAABAgQIECBAgAABAgQIzKnAQnN6AfkJECBAYM4Fekwfm76entKMOb9UdoVFV/1JB13JZQgQIECAAAECBAgQIECAQG0L6AFa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+2n9AQIECBAgAABAgQIECBAgAABAgQIlBEQAC2D4xABAgQIECBAgAABAgQIECBAgAABArUtIABa2+1XM6X/6quv0qxZs2qmvHNa0E8//XROLyE/AQIECBAgQIAAAQIECBAgQIBABwgs1AHXcIkaEnj++efTOeecU7LEvXr1Sv37988em266aYrXpdKJJ56Y3nnnnfSTn/wkbbHFFqVOSV988UV66KGH0pgxY9Krr76apk6dmhZYYIHUr1+/NGDAgDRo0KC00047pQUXbH8M/uWXX05nnnlm4X5HH310WmmllQqvS208+uij6dJLL80OxbmRp7X02muvpdNPPz07vOuuu6ahQ4e2dmqL/dOmTcvqes8996R//OMf6fPPP09dunTJ6rv11lun3XbbLXXr1q1Jvrwtunbtms4777wmx4pfvPfee+mUU07JAsh9+/ZNv/rVr7JrF59TvP3zn/98toPNu+yyS7rlllvSt99+m7bbbru0++67F1+yxXYEtI877rj0wQcfpHXXXTcdeuih2Tnnn39+euaZZ1qcHzui/j169EgrrLBC2nbbbdNyyy3X5LxJkyalY445psm+tl7kbdvWeY4TIECAAAECBAgQIECAAAECjSsgANpgbf/JJ5+kV155pdVaP/bYY9mxP/3pT+m3v/1tWn755Vuc+/bbb6fXX389RdCvVIrjERyL5zxF4CsCYBE4jcf999+fPY499ti0xBJL5KeVfW5e9vvuu6/NAOidd95ZqG/nzp3LXv+2224rnHvNNde0OwD6yCOPpJNPPjnNmDEju34EPpdddtn04YcfpjfeeCN7/PnPf05nn312FvzNC5HXp3lgND8ezxH8POyww9LkyZOza8Z2XL9cikDuZ599Vu6UFscWWmihtOaaa6brr78+vfXWW2nDDTdsEaAszhQ+f/3rX7M2jbrn6d133y0Y5vuaP0dg/Iorrkh77rlnIXAa53z55Zdt5m1+La8JECBAgAABAgQIECBAgAABAm0JCIC2JVSnx6PX4R/+8IdC7b755pus12IE3C6//PI0YcKEdMghh6SbbropLbLIIoXz2tqI4NlBBx2UBeB69+6dojfieuutl5Zccsks68cff5yefPLJLBj41FNPZedGcLCt4GTxfTt16pS+/vrrLIA6fPjw4kNNtmMY+sMPP9xkX2svYnh+9N6MMkfw8rnnnktPP/10VvbW8sT+sWPHphNOOCE7JXrN7r///mngwIGFLHGd3//+91lg7xe/+EW66KKLsl6hhRPKbBQHP6PXZPTcXXzxxcvk+N9DcY9oz+IU5YygdvS6jB68zdNSSy2VhgwZksaNG5ciiHnaaael6M1ZqoduBLZHjRqVXWLEiBFp6aWXbn65tMMOO6Rhw4Y12R+9RqdPn56uuuqqzDbaPepVqqdtmC266KJN8ntBgAABAgQIECBAgAABAgQIEKhEQAC0ErU6yBPD0WMoevO09tprp8022ywLXkWPxghSbrTRRs1PK/k6AlwxVDt6H0Zvwt/85jcthtEvtthi2bD5ddZZJwt+Tpw4Md11111pxx13LHnNUju/853vZL0gY6h59HYsDjgWnx/BzxiKH8fjvHLpwQcfTDNnzsyGZq+xxhpZADSCvxG8bS1Fr8wzzjgjOxzDwKPuzQOG4Rk9Pw8++OBsaPxll12W9Y5t7Zr5/uLg58orr5zOOuus1LNnz/xw2ecVV1yxxfEIxEaKYHapds8zxPD6GM4+fvz4dOONN7YYCh+B1WjX6K0Z75MIdJZKEUhu7T4bbLBBNow/2ufWW28tGQCNwGhrUzCUup99BAgQIECAAAECBAgQIECAAIHWBNo/AWNrV7C/7gS6d++ezesYFYt5KtubYkh6DK9feOGFs7kcywWwoifjj3/84+zS1113XXtvUThvq622yrajZ2Nr6d57783mHd1yyy1bO6WwP4bKRxo8eHDWEzICmREU/eijjwrnNN+I4eIRNI2g7vHHH98i+JmfHz0ZDzjggOxlBP3yofL58ebPxcHP1VdfPev52d7gZ/Nrze7rCNjmPTcvvvji9P777ze5RLTViy++mPWUHTlyZJNj7X0RtjEvaqSYH7aRFsdqr5HzCBAgQIAAAQIECBAgQIAAgY4TEADtOMu6ulIE4SJFAK69KYaQR4rg5DLLLNNmtug9GL0mi4fit5np/07IF1+KuURLpQgyPv7441kPzj59+pQ6pbAvgnxPPPFENgz/+9//fhbcW3/99bNh9rfffnvhvOKNWCwoAqyRYjGotuYx3XzzzVMEFON65YZ2Fwc/896j5c4vLlNHbce0AtF+sZBT8aJTUbZLLrkku81RRx2VOVV6zxhyHyl6DcdDIkCAAAECBAgQIECAAAECBAjMLQFD4OeWbI1eN+bWvPbaa7OFe2JuxwgEtidFECuCiJFiyHZ7UgzHjsBgJSmGSMcj5hyNXoTN7xm9N6NMeU/DcvcYPXp0djjm8MyDjdtvv33629/+lg3R3nvvvVv07oygaayAHqnUkPPsQNF/Yt7StoLJMffm4Ycfni14FO4xD2dbCx4V3aLDNqNdjj766GwofASRH3jggaxXbAzDjykFYrqCTTbZZI7uF1MrRIq5YaPH8fxIESRvPlfq/ChHTCcwN1LMtyrVvkD8Pxefy9qz9tuyI2tQ/NkVf+u8PzpSt/avFZ8ZkeLvXPOpeWq/dmowJwL5eyOuEZ8bMSWWRCAXiA4e0QGi+H2SH/PcukAsaDs761m0fiVHCBCY2wICoHNbuEqvH3/cYgGbPMUfvPiHdvTymzp1alpllVWyVeDbG4CLFc/zP5atzcmZ36ujnqOn6aWXXpothtQ8ABq9M2Nl8yFDhpRdCCn+EZkPfy+ezzICsxGYmzRpUrYwUPOAX9Q3TxGIndMUwc9Y4T0Pqkbwub32c3rvUvmj9+kee+yRYqGi8847L8WCUo899ljq27dvVs5SedqzL4J9EXCOhbYiFZsX5495RmMqhXJpt912KztHa7m8cSzmqs3fs22dW4vHo82k+hHQnvXTlh1dk/gc8/7oaNX6uF5815MItCYQ34MkAs0F4rv63Ppxvvm96uV1dB4RAK2X1lSPehcQAK33Fm6lfhH4y3vhlTolgk8xv2V7Vh2P/FOmTClcJlZRL5Vi9e84L4KtzdPOO++c+vfv33x32dcxt2cEQGMe0Fh5Pk8RwI26xXD2vEdnfqz5c6xIH0HOWFgpFufJU/whiwBrLNJz8803t+jxGKvZR4pfztsaYp9fs7Xn+JKRBz+jl2jMsXnHHXdkvW+32Wab1rLN9f0HHnhgeuSRR9I777yTLXwUdT3mmGNS/MrZVoryR8C0OIVZtH8edIwg+z777FN8SmE77ttW2njjjds6paaOd7/vwA4tb0f1q5202xsdWi4XI0CAAAECBAgQIECAAAEC81pAAHRei1fJ/aJ3Yb6CeV6kCFBFMDCGfo8bNy7tt99+WS/RnXbaKT+l1efiYcwTJkwoGTgdM2ZMevvtt0teIxYfmt0AaARa8xXeY/GlCKhFinlBI8DbnuHvEaiLtO2226YYpl6condiBEAjkBdD3r/73e8WDsfCR5EimBtm0TOy0hQB0Oj5GeU99thj0+9+97t02223ZfNvRkC0X79+lV56jvJFEDhWhT/kkEOy6+y1114peoa2J02bNi3Fo3mKwHrML7rrrrumCHpHL91SKRaVaivQOqc9jWORrlLB+FLlmZv7ogdGNffCaO+PIHPTqJGv/cknn2Q9McotKtfIPo1a9/ghKR/2Hr1O2vqxr1GdGrXe8b0ihr/HAorNv9s0qol6/69AfG7kP0T37t3bEHhvjCYCsfhr165ds0eTA16UFdD7syyPgwSqSqB09KGqiqgwc0Mg5oRad911S146VgGPxW6uuOKKdO6556bNNtuszQVvYi7HPL300kslA2X77rtvyntO5uf+8Y9/zHqa5q9n9zl6ab722mtZ0DMPgMbw9wjexZye5VL84yDmCo0UAce77rqr5OkRJItAaHEv0+JenzEP6ZwEQOOm2223XTbvZrRL9AZ9+umnUwSSTzjhhHThhRfOt2EVa665ZmYZK7UX95AtCVW0c+jQoWnPPfcs2pNSBHDiy3Z7Utxrbgd82hpi355ydsQ51T7MKP5fkuafQD4Xl3aYf21QjXcuXjwu/m54f1RjK83/MsXfudZ+aJz/pVOC+SFQPOdnfG4Uv54f5XHP6hKI90N8ZvibUl3tojQECHScgFXgO86yrq70ox/9KKtPzAv6/PPPt1m36K2Xz4X58ssvlzw/gpXR86/4Eb8yzklqvhr85MmT0/jx47Mh621d++677856VsWvdtFDIn4Rb/7Ie7bG6u3FgaroDZoHQd9upVdr83odeeSRKRYSev3115scinJGT8t8oYJ4fdxxx2Vlip6tF110UZPza+FFBC/j/VD8aG/wsxbqp4wECBAgQIAAAQIECBAgQIBA7QgIgNZOW83TksYQ77yHXHuHCUcvxkixGnwspjQvUvS8XG211bL7RbAw5gONNDvD3w844ICsB2j0Am3+iHlLIzgaw7n/8pe/FKoUv5DmPUzbM19lBIVjWoGbbrqpcI18I64Vj+IUQ99/9rOfZbuuu+66sgs5FeezTYAAAQIECBAgQIAAAQIECBAg0FRAALSph1f/JxDzgEbvz0gxDLo9accdd8wWE4pgYQzjbisIGiufd8TKtbEYUqQIUMb8nz169MgWQCpX5hg2H48IPJZbaCgWR4rFlCLdcsstTS65++67Z8HR5557LsX8pq2l6Dl6zjnnZIcjsDlgwIDWTm2y/6c//WlaY401sn2xKnq+QnyTk7wgQIAAAQIECBAgQIAAAQIECBAoKyAAWpansQ5GT8+YHH306NHp17/+dVb59ddfv+SCRqVkotdoDN2OoGIMRY8g6D333JMtEpSfH0PMY87MCy64IO29994pFviIuWbyRYXy82bnOR8Gf+edd2YrqG+++eZtzpkZQ9ojRf2WWGKJsreL+SwjPfPMM1nZ85OXX375wjyXp556aho1alSKoG5xiiDw0UcfnV544YWsR+3hhx9efLjsdvQ8jcWAYkh8tMtJJ51UmLi+bEYHCRAgQIAAAQIECBAgQIAAAQIECgIWQSpQNNZG9LwcMmRIk0rnq0LmO2Nho1iEZ3ZSBBTPPvvsLIAaQdAI2kWKa0VvyjfffDPFgjp52njjjdOhhx6aYkX3StNSSy2V1lprrWzuz7hGuR6dcTx6tkZgNlKs/t5W2mijjbLFe6ZOnZr1Av2P//iPQpZYGGnmzJnZIkmXXXZZikcMy48FmWLl+JjvMxariGBmWOY9OgsXaGMjrjVixIh02mmnZQHYyy+/PO2///5t5Kr9w7vssku7KjFy5MiUB6jblcFJBAgQIECAAAECBAgQIECAQMMJCIA2XJP/q8LNA56x4l8s7BM9IqNX5Q477JC6dOnyrwzt3IogaATqYuX06E36zjvvZD1CIyAaKa4/cODAbDGkfHh5Oy/d6mkxDD4WP4qFdtZbb71Wz4sDDz30UIoV4KO+0Vu0rRQ9VLfffvt09dVXZ0PdDz744IJLLFwUQbhYtfz6669Pzz77bDb0Px/+H4HPmI805hnt169fW7cqeTwCfDHPaKxYH65Rv7bqWPJCNbSz+XuztaJ/8803rR2ynwABAgQIECBAgAABAgQIECCQCSzwz2HP37IgMDcFYk7QCH5+9tln2argczLcfW6WsyOuHT1rJ02alC2aFMHkWC0+AqgSgdYEogdxBOSXunGl1k6Zr/sX/Pmn8/X+jX7zmP4ieq23NVVHozs1Wv1jZEE+L3T8mLf44os3GoH6lhGIkTYfffRR9rnhO0gZqAY8FJ8b8fkRaemll26xCGcDkqhykcDEiROztRRiPQWJAAEC9SggMlOPrVplderVq1eKRyOkbt26ZUHeRqirOhIgQIAAAQIECBAgQIAAAQIEakHAIki10ErKSIAAAQIECBAgQIAAAQIECBAgQIBARQICoBWxyUSAAAECBAgQIECAAAECBAgQIECAQC0ICIDWQispIwECBAgQIECAAAECBAgQIECAAAECFQkIgFbEJhMBAgQIECBAgAABAgQIECBAgAABArUgIABaC62kjAQIECBAgAABAgQIECBAgAABAgQIVCQgAFoRm0wECBAgQIAAAQIECBAgQIAAAQIECNSCgABoLbSSMhIgQIAAAQIECBAgQIAAAQIECBAgUJGAAGhFbDIRIECAAAECBAgQIECAAAECBAgQIFALAgKgtdBKykiAAAECBAgQIECAAAECBAgQIECAQEUCAqAVsclEgAABAgQIECBAgAABAgQIECBAgEAtCAiA1kIrKSMBAgQIECBAgAABAgQIECBAgAABAhUJCIBWxCYTAQIECBAgQIAAAQIECBAgQIAAAQK1ICAAWgutpIwECBAgQIAAAQIECBAgQIAAAQIECFQkIABaEZtMBAgQIECAAAECBAgQIECAAAECBAjUgoAAaC20kjISIECAAAECBAgQIECAAAECBAgQIFCRgABoRWwyESBAgAABAgQIECBAgAABAgQIECBQCwICoLXQSspIgAABAgQIECBAgAABAgQIECBAgEBFAgKgFbHJRIAAAQIECBAgQIAAAQIECBAgQIBALQgIgNZCKykjAQIECBAgQIAAAQIECBAgQIAAAQIVCQiAVsQmEwECBAgQIECAAAECBAgQIECAAAECtSAgAFoLraSMBAgQIECAAAECBAgQIECAAAECBAhUJCAAWhGbTAQIECBAgAABAgQIECBAgAABAgQI1IKAAGgttJIyEiBAgAABAgQIECBAgAABAgQIECBQkYAAaEVsMhEgQIAAAQIECBAgQIAAAQIECBAgUAsCAqC10ErKSIAAAQIECBAgQIAAAQIECBAgQIBARQICoBWxyUSAAAECBAgQIECAAAECBAgQIECAQC0ICIDWQispIwECBAgQIECAAAECBAgQIECAAAECFQkIgFbEJhMBAgQIECBAgAABAgQIECBAgAABArUgIABaC62kjAQIECBAgAABAgQIECBAgAABAgQIVCQgAFoRm0wECBAgQIAAAQIECBAgQIAAAQIECNSCgABoLbSSMhIgQIAAAQIECBAgQIAAAQIECBAgUJHAQhXlkokAAQIEOlRg0m5vpJ49e6Zu3bp16HVdjAABAgQIECBAgAABAgQINLqAHqCN/g5QfwIECBAgQIAAAQIECBAgQIAAAQJ1LCAAWseNq2oECBAgQIAAAQIECBAgQIAAAQIEGl1AALTR3wHqT4AAAQIECBAgQIAAAQIECBAgQKCOBQRA67hxVY0AAQIECBAgQIAAAQIECBAgQIBAowsIgDb6O0D9CRAgQIAAAQIECBAgQIAAAQIECNSxgABoHTeuqhEgQIAAAQIECBAgQIAAAQIECBBodAEB0EZ/B6g/AQIECBAgQIAAAQIECBAgQIAAgToWEACt48ZVNQIECBAgQIAAAQIECBAgQIAAAQKNLiAA2ujvAPUnQIAAAQIECBAgQIAAAQIECBAgUMcCAqB13LiqRoAAAQIECBAgQIAAAQIECBAgQKDRBQRAG/0doP4ECBAgQIAAAQIECBAgQIAAAQIE6lhAALSOG1fVCBAgQIAAAQIECBAgQIAAAQIECDS6gABoo78D1J8AAQIECBAgQIAAAQIECBAgQIBAHQss8O0/Ux3XT9UIECBAgAABAgQIECBAgAABAgQIEGhgAT1AG7jxVZ0AAQIECBAgQIAAAQIECBAgQIBAvQsIgNZ7C6sfAQIECBAgQIAAAQIECBAgQIAAgQYWEABt4MZXdQIECBAgQIAAAQIECBAgQIAAAQL1LiAAWu8trH4ECBAgQIAAAQIECBAgQIAAAQIEGlhAALSBG1/VCRAgQIAAAQIECBAgQIAAAQIECNS7gABovbew+hEgQIAAAQIECBAgQIAAAQIECBBoYAEB0AZufFUnQIAAAQIECBAgQIAAAQIECBAgUO8CAqD13sLqR4AAAQIECBAgQIAAAQIECBAgQKCBBQRAG7jxVZ0AAQIECBAgQIAAAQIECBAgQIBAvQsIgNZ7C6sfAQIECBAgQIAAAQIECBAgQIAAgQYWEABt4MZXdQIECBAgQIAAAQIECBAgQIAAAQL1LiAAWu8trH4ECBAgQIAAAQIECBAgQIAAAQIEGlhgoQauu6oTIEBgvgnMmjUrXX/99emJJ55IU6dOTQMHDkzrrrtu2m677VKnTp3mW7ncmACBeSdw//33p4ceeihNmDAhffPNN2m55ZZLG220Udpmm21aLcTLL7+c/ud//if9/e9/T927d09rrbVW2nLLLdOKK67YoXlavZgDBAhUlcDTTz+dLrjggjR48OB04IEHlixbJd85KslT8uZ2EiBAgACBKhFY4Nt/piopi2IQIECgIQSmTZuW/v3f/z298847WX0XX3zx9NFHH2Xbm2++eTrhhBPSwgsv3BAWKkmgEQUisDBy5MgUgYtIiy22WPb88ccfZ8/xY8hvf/vb1LVr1+x1/p/40eTcc8/NXvbo0SN98cUX2SPOO+2009KgQYPyUwvPleQpZLZBgEBVC8yYMSPtu+++afLkyWnrrbfOvj80L3Al3zkqydP8vl4TIECAAIFqEzAEvtpaRHkIEKh7gV//+tdZ8DN6a9x+++3plltuSddee21aaaWV0oMPPph+//vf172BChJoZIHorRXBz/79+6dLL7003XHHHdnjkksuScsuu2x65pln0nnnndeEaPz48dlnQ/w4csopp6Q777wzjRkzJh1++OHps88+S0cccUSaOHHiHOdpcgEvCBCoaoHf/e53WfCzXCEr+c5RSZ5yZXCMAAECBAhUg4AAaDW0gjIQINAwAi+++GJ6/PHHs55dJ598curZs2dW9379+qWzzjorG/4+evToFL06JAIE6k/g008/TbfeemtacMEF00knnZRWWWWVQiVXXXXVLLgZO+LHkTg3T5dffnmKQTt77713ip7iCyywQOrcuXMaNmxY2n333dOXX36Zbr755vz07LmSPE0u4AUBAlUrcPfdd6f77rsv9erVq9UyVvKdo5I8rRbAAQIECBAgUEUCAqBV1BiKQoBA/Qs88MADWSV/8IMfpC5dujSpcAyF33DDDbMhrREElQgQqD+B6Mn59ddfZz09V1hhhRYVjH1LLLFEFux88803s+MRCI0fTiJtu+222XPxf/J9ETT96quvskOV5Cm+pm0CBKpXIHp7x4+m8ePpXnvt1WpBK/nOUUmeVgvgAAECBAgQqCIBAdAqagxFIUCg/gVeeOGFrJIx/L1UigBopOeee67UYfsIEKhxgfh/PHqAnnHGGSVrEgHM6dOnZ8fynl0vvfRSFhCN4fF9+/ZtkS96ji666KJZvn/84x/Z8UrytLiwHQQIVJ1ALJgWI0hi6ovjjjuuxY+pxQWu5DtHJXmK72mbAAECBAhUq4AAaLW2jHIRIFCXAu+++25Wrzyw0byS+f58gaTmx70mQKC2BWLoeu/evdN3v/vdkhWJYa2xuFFMjxG9uyK19bkR5zT/7KgkT1xHIkCgugWuvvrq9Oyzz6Z99tknrbHGGmUL29bnQPPPjbhYJXnKFsJBAgQIECBQJQICoFXSEIpBgEBjCHzyySdZRfN/dDSvdb4adH5e8+NeEyBQvwLvvfdeuvDCC7MKDh8+PJvnM17knwetfW7EOc0/OyrJE9eRCBCoXoFXXnklWzgt5g6O1d/bSm19DjT/3IjrVZKnrXI4ToAAAQIEqkFAALQaWkEZCBBoCIEYtvb5559ndY3hqqVSjx49st2zZs0qddg+AgTqVGDKlCnpl7/8ZZo2bVo2F/BOO+1UqGm+GFJrnxtxYv7ZkX/GVJKncEMbBAhUnUB8L4iF0zp16pQNfV9ooYXKlrGS7xyV5ClbCAcJECBAgEAVCQiAVlFjKAoBAvUtEKs+d+3aNatkawHOfP/CCy9c3xhqR4BAQSDm7TzkkEOyoaerr756FuQoHPznRvfu3bOXMTS+tZR/diyyyCLZKZXkae3a9hMgMP8FLrjggpR/Viy//PJtFqiS7xyV5GmzIE4gQIAAAQJVIiAAWiUNoRgECDSGQJ8+fbKKzpgxo2SF8/158KLkSXYSIFA3ArHg2cEHH5zef//99L3vfS9b2bn5///558bHH3/car2bf3ZUkqfViztAgMB8FRg3bly66aabss+IH/3oR+0uS/45kH8+NM+Y7y/+zKkkT/Prek2AAAECBKpRoPzYiWossTIRIECghgXiHxaxwFH+j47mVckDHLFIikSAQH0LjB07NlvN+csvv0zbbrtt+s///M9UalhrWwGJUGr+2VFJnvrWVjsCtStw8803Z4V/8cUXU/H0GLEz7/39l7/8Jf3whz/MFlC78sors/Mr+c5RSZ7sZv5DgAABAgSqXEAP0CpvIMUjQKC+BJZccsmsQm+++WbJiuX7V1tttZLH7SRAoD4EbrvttnTCCSekCH7ut99+6dhjjy0Z/Iza5p8b8eNJnN88TZ8+PX300Ucphq8OHDgwO1xJnubX9ZoAgeoQiHk/4xHBzvgBtfiRB0C/+uqrbP/MmTMLhc4/B/LvFoUD/7eR7y/+zlFJnubX9ZoAAQIECFSjgABoNbaKMhEgULcCW221VVa3e++9t0UdY/GB6BEWad11121x3A4CBOpD4NFHH01nnHFGtsp79Prcf//9y1asb9++adVVV00R2HjsscdanHv//fenr7/+OjunW7du2fFK8rS4sB0ECFSFwKmnnpoeeOCBko8RI0ZkZYzvF3FO3ls0dlbynaOSPFWBpBAECBAgQKANAQHQNoAcJkCAQEcKfP/730/9+/dPr732Who9enSTS1911VUpVoKOxQ0GDx7c5JgXBAjUh0D01jr77LPTt99+mw444IA0dOjQdlVsr732ys4bNWpUkyk0Jk+enK655prs2LBhw5pcq5I8TS7gBQECNS1QyXeOSvLUNJLCEyBAgEDDCCzwzy/g3zZMbVWUAAECVSDw4IMPpuOPPz7rsbXFFltkQ1bHjx+fYpGDzp07p3POOSetvfbaVVBSRSBAoKMF4oeOiy66KLtsDGktl04++eS06aabZqdED89YKf6ll15K0bszPjtiyGv0Jo8fTjbZZJMUvcRiGHyeKsmT5/VMgEBtCNx4443Zjypbb711Nq1G81JX8p2jkjzN7+s1AQIECBCoNgEB0GprEeUhQKAhBJ5++uksWDFx4sRCfaNn6C9+8Ys0aNCgwj4bBAjUl8CRRx6Z/djRnlqdcsopafPNNy+cmvcevfvuuwtzgUYQddddd00HHXRQ6tKlS+HcfKOSPHlezwQIVL9AWwHQqEEl3zkqyVP9WkpIgAABAo0sIADayK2v7gQIzHeB6LkVC5vEogNLL710k95b871wCkCAQFUKRM/PN954IxtGv+yyy6bu3bu3Wc5K8rR5UScQIFBTApV856gkT02hKCwBAgQINIyAAGjDNLWKEiBAgAABAgQIECBAgAABAgQIEGg8gX9NFNV4dVdjAgQIECBAgAABAgQIECBAgAABAgTqXEAAtM4bWPUIECBAgAABAgQIECBAgAABAgQINLKAAGgjt766EyBAgAABAgQIECBAgAABAgQIEKhzAQHQOm9g1SNAgAABAgQIECBAgAABAgQIECDQyAICoI3c+upOgAABAgQIECBAgAABAgQIECBAoM4FBEDrvIFVjwABAgQIECBAgAABAgQIECBAgEAjCwiANnLrqzsBAgQIECBAgAABAgQIECBAgACBOhcQAK3zBlY9AgQIECBAgAABAgQIECBAgAABAo0sIADayK2v7gQIECBAgAABAgQIECBAgAABAgTqXEAAtM4bWPUIECBAgAABAgQIECBAgAABAgQINLKAAGgjt766EyBAgAABAgQIECBAgAABAgQIEKhzAQHQOm9g1SNAgAABAgQIEKg9gZkzZ6bnnnuu9gquxAQIECBAgACBKhQQAK3CRlEkAgQIECBAgACBxhW47rrr0qqrrpruvPPOxkVQcwIECBAgQIBABwos1IHXcikCBAgQIECAAAECBOZAYNKkSWnPPfecgyvISoAAAQIECBAg0FxAD9DmIl4TIECAAAECBAgQIECAAAECBAgQIFA3AgKgddOUKkKAAAECBAgQIECAAAECBAgQIECAQHMBQ+Cbi3hNgAABAgQIECBQNQJ//etf0zPPPJPef//9tPTSS6eBAwemrbbaKnXu3LlsGb/++uv05JNPphdffDG9+eababnllktrr712WmuttVLXrl1L5n3rrbfSBx98kDp16pTWX3/9kufEzlic6PPPP0+9evVKK6+8cuG8/J6xY7XVVkuLLrpo+uqrr7Lzx40blz7++OM0aNCg7Np9+vQp5Ms3/va3v6UpU6bkL9OECRPS448/nr2O8kS5JAIECBAgQIAAgdkXWODbf6bZzyYHAQIECBAgQIAAgbknMGbMmDRixIj06quvtrjJCiuskE4//fQ0bNiwFsdix9ixY7O8zz//fIvjEXj8wx/+UDLvfvvtl/77v/87de/ePcUq7K2lFVdcMUWwdIcddkh33HFH4bRp06al3r17Z6/vv//+LEi78847NwlqxsEuXbqkc889Nw0fPryQNzYiqBsB01Iprt2zZ89Sh+wjQIAAAQIECBBoQ8AQ+DaAHCZAgAABAgQIEJi3AhGgHDp0aBb8zHtj/uxnP8t6f0ZJIvgYCwXdeOONLQoWeaOHaAQ/I+96662X9tlnn7TppptmPT8//PDDtMcee6QIds7NFIHRbbbZJgt+DhgwIG299dYp7/UZvUcPOuigLAhaXIbo5bnOOusUdvXr1y9973vfyx56fxZYbBAgQIAAAQIEZltAAHS2yWQgQIAAAQIECBCYWwIvv/xy+uUvf5m++eabFAHA6En5xBNPZD0zozfoo48+mg0tj0FMP/3pT7Nh5XlZXnvttTRy5Mjs5fLLL58efvjh9NRTT6UrrrgiPfTQQ+mll15KG264YXY8enpee+21edYOfz7zzDPTUkstlZU/ynXPPfekyZMnp1GjRhXuFb1Ao555irrddddd+ct06KGHphgWH48ePXoU9tsgQIAAAQIECBCYPQEB0NnzcjYBAgQIECBAgMBcFDj55JPTrFmzsjtcc801abPNNmtyt8GDB6cjjzwy2/fJJ5+kG264oXB83333TZ9++mnW83P06NEpzi1OERS97777ssBk7I9A64wZM4pP6dDtCHYOGTKkcM0FFlggRRmjN2uk6Mk6fvz4wnEbBAgQIECAAAECc0dAAHTuuLoqAQIECBAgQIDAbArE/Jf5nJpbbLFFi+BnfrkIXB5++OHpnHPOyYa4x/6YI/ORRx7JTtl7772zRYjy84ufoyflMccck+2KhZUiIDo30gYbbNAk+Fl8j+Jh7rHokkSAAAECBAgQIDB3BawCP3d9XZ0AAQIECBAgQKCdAjFEPQKZkTbZZJNWc3Xr1q3F/JmRN08x32a5FHNz5umVV17JNzv0ORZKai3179+/cOjLL78sbNsgQIAAAQIECBCYOwJ6gM4dV1clQIAAAQIECBCYTYGJEycWciy33HKF7fZsFAdAiwOMpfLG8RiOHmluBUDLlb9r166FYhXPAVrYaYMAAQIECBAgQKBDBQRAO5TTxQgQIECAAAECBCoVKJ6Pc/HFF5+ty7z33nuF85dYYonCdqmNLl26ZCvCx7EpU6aUOmWO98U9JAIECBAgQIAAgeoQEACtjnZQCgIECBAgQIBAwwsU95os7g3aHphY4ChP7777br5Z8nnq1KnZYklxsE+fPi3OaatX5meffdYijx0ECBAgQIAAAQLVK2AO0OptGyUjQIAAAQIECDSUwIABAwr1nTBhQmG71MZll12WBTFXX331tOWWW6aBAwcWTnv77bcL26U2io8vtdRShVMWXPB/+waUm5fz22+/TRFAlQgQIECAAAECBGpHQA/Q2mkrJSVAgAABAgQI1LVAr169Uj58ffTo0SmCjaVS9NA88sgj02GHHZb++Mc/ZqesvPLKhXk9r7nmmlLZCvuuvvrqwvaQIUMK2/ncnLEa/fTp0wv7izeeffbZNGvWrOJdHbqdz00aF22t/h16QxcjQIAAAQIECDSAgABoAzSyKhIgQIAAAQIEakUggpqRItB48803lyz2n/70p8Lcnbvuumt2TswZuu+++2bb9957b7rrrrtK5v373/+eLrjgguxYBFuj92ieiofRX3jhhfnuwnMMfT/kkEMKr+fGRvHcoXNrftK5UW7XJECAAAECBAhUs4AAaDW3jrIRIECAAAECBBpM4Igjjkj5XKA/+clP0qhRo1L0yMzTVVddlfX8jNeDBg1KO++8c34onXbaaalnz57Z61122SVdfPHFhd6a0Wt0zJgxafDgwSmfw/P8889PCy30rxmh/u3f/i116tQpy3/iiSemK6+8MhvuHj0+x44dm+Kajz76aFpkkUUK9+zoje7du6fOnTtnl73xxhvT7bffnu6///70xRdfdPStXI8AAQIECBAg0DACAqAN09QqSoAAAQIECBCofoEYhh5Bzr59+2aByv333z8tuuiiae211069e/dOe++9d4rV4qP35g033JCKe0wuueSSWd5Y2Ojzzz9PBx98cFpsscXSmmuumQVGt99++zRp0qQUc32eeuqpaY899mgCsuyyy6aDDjoo2xf599lnnxTXjPtutdVW6e67786Ox/65lSIAu/nmm2eXf+utt9IPf/jDrJfqCy+8MLdu6boECBAgQIAAgboXEACt+yZWQQIECBAgQIBAbQlsuummafz48enHP/5x6tatWxbMjNfTpk3LemgOHz48RUCwf//+LSo2dOjQ7NiwYcOyvNFzMs6dOXNmFvjcdtttsx6VRx99dIu8sSOGx8fw93wu0uh9Gj1Gl1lmmXTSSSeliy66qNBLtOQFOmBnzGH6gx/8IC288MKFq7300kuFbRsECBAgQIAAAQKzJ7DAPydXLz27/Oxdx9kECBCfOQIEAAAChUlEQVQgQIAAAQIEOlwghq6//vrr6dVXX039+vVLq6yyShbYbM+NIu8bb7yRXn755awXZ6wUX7zqe1vXiPlCX3zxxbTaaquVDLa2lX9Oj0fwNsofwdjo1SoRIECAAAECBAhUJiAAWpmbXAQIECBAgAABAgQIECBAgAABAgQI1ICAIfA10EiKSIAAAQIECBAgQIAAAQIECBAgQIBAZQICoJW5yUWAAAECBAgQIECAAAECBAgQIECAQA0ICIDWQCMpIgECBAgQIECAAAECBAgQIECAAAEClQkIgFbmJhcBAgQIECBAgAABAgQIECBAgAABAjUgIABaA42kiAQIECBAgAABAgQIECBAgAABAgQIVCYgAFqZm1wECBAgQIAAAQIECBAgQIAAAQIECNSAgABoDTSSIhIgQIAAAQIECBAgQIAAAQIECBAgUJmAAGhlbnIRIECAAAECBAgQIECAAAECBAgQIFADAgKgNdBIikiAAAECBAgQIECAAAECBAgQIECAQGUCAqCVuclFgAABAgQIECBAgAABAgQIECBAgEANCAiA1kAjKSIBAgQIECBAgAABAgQIECBAgAABApUJCIBW5iYXAQIECBAgQIAAAQIECBAgQIAAAQI1ICAAWgONpIgECBAgQIAAAQIECBAgQIAAAQIECFQmIABamZtcBAgQIECAAAECBAgQIECAAAECBAjUgIAAaA00kiISIECAAAECBAgQIECAAAECBAgQIFCZgABoZW5yESBAgAABAgQIECBAgAABAgQIECBQAwICoDXQSIpIgAABAgQIECBAgAABAgQIECBAgEBlAgKglbnJRYAAAQIECBAgQIAAAQIECBAgQIBADQj8f3e1rH2pf63pAAAAAElFTkSuQmCC" width="672" /></p>
<p>Amazing🤩! For some of the features, theres a noticeable difference
in the distribution for each color label. For instance, it seems the
white pumpkins can be found in smaller packages and in some particular
varieties of pumpkins. The <em>item_size</em> category also seems to
make a difference in the color distribution. These features may help
predict the color of a pumpkin.</p>
<div id="analysing-relationships-between-features-and-label" class="section level3">
<h3><strong>Analysing relationships between features and
label</strong></h3>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" tabindex="-1"></a><span class="co"># Define the color palette</span></span>
<span id="cb8-2"><a href="#cb8-2" tabindex="-1"></a>palette <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="at">ORANGE =</span> <span class="st">&quot;orange&quot;</span>, <span class="at">WHITE =</span> <span class="st">&quot;wheat&quot;</span>)</span>
<span id="cb8-3"><a href="#cb8-3" tabindex="-1"></a></span>
<span id="cb8-4"><a href="#cb8-4" tabindex="-1"></a><span class="co"># We need the encoded Item Size column to use it as the x-axis values in the plot</span></span>
<span id="cb8-5"><a href="#cb8-5" tabindex="-1"></a>pumpkins_select_plot<span class="ot">&lt;-</span>pumpkins_select</span>
<span id="cb8-6"><a href="#cb8-6" tabindex="-1"></a>pumpkins_select_plot<span class="sc">$</span>item_size <span class="ot">&lt;-</span> baked_pumpkins<span class="sc">$</span>item_size</span>
<span id="cb8-7"><a href="#cb8-7" tabindex="-1"></a></span>
<span id="cb8-8"><a href="#cb8-8" tabindex="-1"></a><span class="co"># Create the grouped box plot</span></span>
<span id="cb8-9"><a href="#cb8-9" tabindex="-1"></a><span class="fu">ggplot</span>(pumpkins_select_plot, <span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">item_size</span><span class="st">`</span>, <span class="at">y =</span> color, <span class="at">fill =</span> color)) <span class="sc">+</span></span>
<span id="cb8-10"><a href="#cb8-10" tabindex="-1"></a> <span class="fu">geom_boxplot</span>() <span class="sc">+</span></span>
<span id="cb8-11"><a href="#cb8-11" tabindex="-1"></a> <span class="fu">facet_grid</span>(variety <span class="sc">~</span> ., <span class="at">scales =</span> <span class="st">&quot;free_x&quot;</span>) <span class="sc">+</span></span>
<span id="cb8-12"><a href="#cb8-12" tabindex="-1"></a> <span class="fu">scale_fill_manual</span>(<span class="at">values =</span> palette) <span class="sc">+</span></span>
<span id="cb8-13"><a href="#cb8-13" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">x =</span> <span class="st">&quot;Item Size&quot;</span>, <span class="at">y =</span> <span class="st">&quot;&quot;</span>) <span class="sc">+</span></span>
<span id="cb8-14"><a href="#cb8-14" tabindex="-1"></a> <span class="fu">theme_minimal</span>() <span class="sc">+</span></span>
<span id="cb8-15"><a href="#cb8-15" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">strip.text =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">12</span>)) <span class="sc">+</span></span>
<span id="cb8-16"><a href="#cb8-16" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">axis.text.x =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">10</span>)) <span class="sc">+</span></span>
<span id="cb8-17"><a href="#cb8-17" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">axis.title.x =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">12</span>)) <span class="sc">+</span></span>
<span id="cb8-18"><a href="#cb8-18" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">axis.title.y =</span> <span class="fu">element_blank</span>()) <span class="sc">+</span></span>
<span id="cb8-19"><a href="#cb8-19" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.position =</span> <span class="st">&quot;bottom&quot;</span>) <span class="sc">+</span></span>
<span id="cb8-20"><a href="#cb8-20" tabindex="-1"></a> <span class="fu">guides</span>(<span class="at">fill =</span> <span class="fu">guide_legend</span>(<span class="at">title =</span> <span class="st">&quot;Color&quot;</span>)) <span class="sc">+</span></span>
<span id="cb8-21"><a href="#cb8-21" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">panel.spacing =</span> <span class="fu">unit</span>(<span class="fl">0.5</span>, <span class="st">&quot;lines&quot;</span>))<span class="sc">+</span></span>
<span id="cb8-22"><a href="#cb8-22" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">strip.text.y =</span> <span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">4</span>, <span class="at">hjust =</span> <span class="dv">0</span>)) </span></code></pre></div>
<p><img 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" width="672" /></p>
<p>Lets now focus on a specific relationship: Item Size and Color!</p>
<div id="use-a-swarm-plot" class="section level4">
<h4><strong>Use a swarm plot</strong></h4>
<p>Color is a binary category (Orange or Not), its called
<code>categorical data</code>. There are other various ways of <a href="https://seaborn.pydata.org/tutorial/categorical.html?highlight=bar">visualizing
categorical data</a>.</p>
<p>Try a <code>swarm plot</code> to show the distribution of color with
respect to the item_size.</p>
<p>Well use the <a href="https://github.com/eclarke/ggbeeswarm">ggbeeswarm package</a>
which provides methods to create beeswarm-style plots using ggplot2.
Beeswarm plots are a way of plotting points that would ordinarily
overlap so that they fall next to each other instead.</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" tabindex="-1"></a><span class="co"># Create beeswarm plots of color and item_size</span></span>
<span id="cb9-2"><a href="#cb9-2" tabindex="-1"></a>baked_pumpkins <span class="sc">%&gt;%</span> </span>
<span id="cb9-3"><a href="#cb9-3" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">color =</span> <span class="fu">factor</span>(color)) <span class="sc">%&gt;%</span> </span>
<span id="cb9-4"><a href="#cb9-4" tabindex="-1"></a> <span class="fu">ggplot</span>(<span class="at">mapping =</span> <span class="fu">aes</span>(<span class="at">x =</span> color, <span class="at">y =</span> item_size, <span class="at">color =</span> color)) <span class="sc">+</span></span>
<span id="cb9-5"><a href="#cb9-5" tabindex="-1"></a> <span class="fu">geom_quasirandom</span>() <span class="sc">+</span></span>
<span id="cb9-6"><a href="#cb9-6" tabindex="-1"></a> <span class="fu">scale_color_brewer</span>(<span class="at">palette =</span> <span class="st">&quot;Dark2&quot;</span>, <span class="at">direction =</span> <span class="sc">-</span><span class="dv">1</span>) <span class="sc">+</span></span>
<span id="cb9-7"><a href="#cb9-7" tabindex="-1"></a> <span class="fu">theme</span>(<span class="at">legend.position =</span> <span class="st">&quot;none&quot;</span>)</span></code></pre></div>
<p><img 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" width="672" />
Now that we have an idea of the relationship between the binary
categories of color and the larger group of sizes, lets explore
logistic regression to determine a given pumpkins likely color.</p>
</div>
</div>
</div>
<div id="build-your-model" class="section level2">
<h2>3. Build your model</h2>
<p>Lets begin by splitting the data into <code>training</code> and
<code>test</code> sets. The training set is used to train a classifier
so that it finds a statistical relationship between the features and the
label value.</p>
<p>It is best practice to hold out some of your data for
<strong>testing</strong> in order to get a better estimate of how your
models will perform on new data by comparing the predicted labels with
the already known labels in the test set. <a href="https://rsample.tidymodels.org/">rsample</a>, a package in
Tidymodels, provides infrastructure for efficient data splitting and
resampling:</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" tabindex="-1"></a><span class="co"># Split data into 80% for training and 20% for testing</span></span>
<span id="cb10-2"><a href="#cb10-2" tabindex="-1"></a><span class="fu">set.seed</span>(<span class="dv">2056</span>)</span>
<span id="cb10-3"><a href="#cb10-3" tabindex="-1"></a>pumpkins_split <span class="ot">&lt;-</span> pumpkins_select <span class="sc">%&gt;%</span> </span>
<span id="cb10-4"><a href="#cb10-4" tabindex="-1"></a> <span class="fu">initial_split</span>(<span class="at">prop =</span> <span class="fl">0.8</span>)</span>
<span id="cb10-5"><a href="#cb10-5" tabindex="-1"></a></span>
<span id="cb10-6"><a href="#cb10-6" tabindex="-1"></a><span class="co"># Extract the data in each split</span></span>
<span id="cb10-7"><a href="#cb10-7" tabindex="-1"></a>pumpkins_train <span class="ot">&lt;-</span> <span class="fu">training</span>(pumpkins_split)</span>
<span id="cb10-8"><a href="#cb10-8" tabindex="-1"></a>pumpkins_test <span class="ot">&lt;-</span> <span class="fu">testing</span>(pumpkins_split)</span>
<span id="cb10-9"><a href="#cb10-9" tabindex="-1"></a></span>
<span id="cb10-10"><a href="#cb10-10" tabindex="-1"></a><span class="co"># Print out the first 5 rows of the training set</span></span>
<span id="cb10-11"><a href="#cb10-11" tabindex="-1"></a>pumpkins_train <span class="sc">%&gt;%</span> </span>
<span id="cb10-12"><a href="#cb10-12" tabindex="-1"></a> <span class="fu">slice_head</span>(<span class="at">n =</span> <span class="dv">5</span>)</span></code></pre></div>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["city_name"],"name":[1],"type":["chr"],"align":["left"]},{"label":["package"],"name":[2],"type":["chr"],"align":["left"]},{"label":["variety"],"name":[3],"type":["chr"],"align":["left"]},{"label":["origin"],"name":[4],"type":["chr"],"align":["left"]},{"label":["item_size"],"name":[5],"type":["chr"],"align":["left"]},{"label":["color"],"name":[6],"type":["fct"],"align":["left"]}],"data":[{"1":"BOSTON","2":"36 inch bins","3":"HOWDEN TYPE","4":"PENNSYLVANIA","5":"lge","6":"ORANGE"},{"1":"CHICAGO","2":"24 inch bins","3":"HOWDEN TYPE","4":"CANADA","5":"lge","6":"ORANGE"},{"1":"DALLAS","2":"24 inch bins","3":"HOWDEN TYPE","4":"TEXAS","5":"sml","6":"ORANGE"},{"1":"BALTIMORE","2":"1/2 bushel cartons","3":"MINIATURE","4":"MARYLAND","5":"sml","6":"WHITE"},{"1":"BOSTON","2":"36 inch bins","3":"HOWDEN TYPE","4":"CANADA","5":"xlge","6":"ORANGE"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
</script>
</div>
<p>🙌 We are now ready to train a model by fitting the training features
to the training label (color).</p>
<p>Well begin by creating a recipe that specifies the preprocessing
steps that should be carried out on our data to get it ready for
modelling i.e: encoding categorical variables into a set of integers.
Just like <code>baked_pumpkins</code>, we create a
<code>pumpkins_recipe</code> but do not <code>prep</code> and
<code>bake</code> since it would be bundled into a workflow, which you
will see in just a few steps from now.</p>
<p>There are quite a number of ways to specify a logistic regression
model in Tidymodels. See <code>?logistic_reg()</code> For now, well
specify a logistic regression model via the default
<code>stats::glm()</code> engine.</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" tabindex="-1"></a><span class="co"># Create a recipe that specifies preprocessing steps for modelling</span></span>
<span id="cb11-2"><a href="#cb11-2" tabindex="-1"></a>pumpkins_recipe <span class="ot">&lt;-</span> <span class="fu">recipe</span>(color <span class="sc">~</span> ., <span class="at">data =</span> pumpkins_train) <span class="sc">%&gt;%</span> </span>
<span id="cb11-3"><a href="#cb11-3" tabindex="-1"></a> <span class="fu">step_mutate</span>(<span class="at">item_size =</span> <span class="fu">ordered</span>(item_size, <span class="at">levels =</span> <span class="fu">c</span>(<span class="st">&#39;sml&#39;</span>, <span class="st">&#39;med&#39;</span>, <span class="st">&#39;med-lge&#39;</span>, <span class="st">&#39;lge&#39;</span>, <span class="st">&#39;xlge&#39;</span>, <span class="st">&#39;jbo&#39;</span>, <span class="st">&#39;exjbo&#39;</span>))) <span class="sc">%&gt;%</span></span>
<span id="cb11-4"><a href="#cb11-4" tabindex="-1"></a> <span class="fu">step_integer</span>(item_size, <span class="at">zero_based =</span> F) <span class="sc">%&gt;%</span> </span>
<span id="cb11-5"><a href="#cb11-5" tabindex="-1"></a> <span class="fu">step_dummy</span>(<span class="fu">all_nominal</span>(), <span class="sc">-</span><span class="fu">all_outcomes</span>(), <span class="at">one_hot =</span> <span class="cn">TRUE</span>)</span>
<span id="cb11-6"><a href="#cb11-6" tabindex="-1"></a></span>
<span id="cb11-7"><a href="#cb11-7" tabindex="-1"></a><span class="co"># Create a logistic model specification</span></span>
<span id="cb11-8"><a href="#cb11-8" tabindex="-1"></a>log_reg <span class="ot">&lt;-</span> <span class="fu">logistic_reg</span>() <span class="sc">%&gt;%</span> </span>
<span id="cb11-9"><a href="#cb11-9" tabindex="-1"></a> <span class="fu">set_engine</span>(<span class="st">&quot;glm&quot;</span>) <span class="sc">%&gt;%</span> </span>
<span id="cb11-10"><a href="#cb11-10" tabindex="-1"></a> <span class="fu">set_mode</span>(<span class="st">&quot;classification&quot;</span>)</span></code></pre></div>
<p>Now that we have a recipe and a model specification, we need to find
a way of bundling them together into an object that will first
preprocess the data (prep+bake behind the scenes), fit the model on the
preprocessed data and also allow for potential post-processing
activities.</p>
<p>In Tidymodels, this convenient object is called a <a href="https://workflows.tidymodels.org/"><code>workflow</code></a> and
conveniently holds your modeling components.</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" tabindex="-1"></a><span class="co"># Bundle modelling components in a workflow</span></span>
<span id="cb12-2"><a href="#cb12-2" tabindex="-1"></a>log_reg_wf <span class="ot">&lt;-</span> <span class="fu">workflow</span>() <span class="sc">%&gt;%</span> </span>
<span id="cb12-3"><a href="#cb12-3" tabindex="-1"></a> <span class="fu">add_recipe</span>(pumpkins_recipe) <span class="sc">%&gt;%</span> </span>
<span id="cb12-4"><a href="#cb12-4" tabindex="-1"></a> <span class="fu">add_model</span>(log_reg)</span>
<span id="cb12-5"><a href="#cb12-5" tabindex="-1"></a></span>
<span id="cb12-6"><a href="#cb12-6" tabindex="-1"></a><span class="co"># Print out the workflow</span></span>
<span id="cb12-7"><a href="#cb12-7" tabindex="-1"></a>log_reg_wf</span></code></pre></div>
<pre><code>## ══ Workflow ════════════════════════════════════════════════════════════════════
## Preprocessor: Recipe
## Model: logistic_reg()
##
## ── Preprocessor ────────────────────────────────────────────────────────────────
## 3 Recipe Steps
##
## • step_mutate()
## • step_integer()
## • step_dummy()
##
## ── Model ───────────────────────────────────────────────────────────────────────
## Logistic Regression Model Specification (classification)
##
## Computational engine: glm</code></pre>
<p>After a workflow has been <em>specified</em>, a model can be
<code>trained</code> using the <a href="https://tidymodels.github.io/parsnip/reference/fit.html"><code>fit()</code></a>
function. The workflow will estimate a recipe and preprocess the data
before training, so we wont have to manually do that using prep and
bake.</p>
<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" tabindex="-1"></a><span class="co"># Train the model</span></span>
<span id="cb14-2"><a href="#cb14-2" tabindex="-1"></a>wf_fit <span class="ot">&lt;-</span> log_reg_wf <span class="sc">%&gt;%</span> </span>
<span id="cb14-3"><a href="#cb14-3" tabindex="-1"></a> <span class="fu">fit</span>(<span class="at">data =</span> pumpkins_train)</span></code></pre></div>
<pre><code>## Warning: glm.fit: algorithm did not converge</code></pre>
<pre><code>## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred</code></pre>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" tabindex="-1"></a><span class="co"># Print the trained workflow</span></span>
<span id="cb17-2"><a href="#cb17-2" tabindex="-1"></a>wf_fit</span></code></pre></div>
<pre><code>## ══ Workflow [trained] ══════════════════════════════════════════════════════════
## Preprocessor: Recipe
## Model: logistic_reg()
##
## ── Preprocessor ────────────────────────────────────────────────────────────────
## 3 Recipe Steps
##
## • step_mutate()
## • step_integer()
## • step_dummy()
##
## ── Model ───────────────────────────────────────────────────────────────────────
##
## Call: stats::glm(formula = ..y ~ ., family = stats::binomial, data = data)
##
## Coefficients:
## (Intercept) item_size
## -7.596e+15 5.343e+13
## city_name_ATLANTA city_name_BALTIMORE
## 4.227e+15 3.812e+15
## city_name_BOSTON city_name_CHICAGO
## 3.432e+15 1.745e+15
## city_name_COLUMBIA city_name_DALLAS
## 2.306e+15 1.914e+15
## city_name_DETROIT city_name_LOS.ANGELES
## 2.137e+14 2.958e+15
## city_name_MIAMI city_name_NEW.YORK
## 1.892e+15 1.999e+15
## city_name_PHILADELPHIA city_name_SAN.FRANCISCO
## 1.698e+15 1.399e+15
## city_name_ST..LOUIS package_X1.1.9.bushel.cartons
## NA 2.129e+15
## package_X1.1.9.bushel.crates package_X1.2.bushel.cartons
## 5.432e+15 6.396e+13
## package_X24.inch.bins package_X36.inch.bins
## 3.219e+15 2.116e+15
## package_bins package_bushel.cartons
## 1.227e+15 NA
## variety_BIG.MACK.TYPE variety_BLUE.TYPE
## 4.932e+14 1.999e+15
## variety_CINDERELLA variety_FAIRYTALE
## 4.701e+15 3.003e+15
## variety_HOWDEN.TYPE variety_HOWDEN.WHITE.TYPE
## -1.199e+15 4.840e+15
## variety_KNUCKLE.HEAD variety_MINIATURE
## 1.999e+15 5.946e+15
## variety_PIE.TYPE origin_ALABAMA
## NA 1.242e+15
## origin_CALIFORNIA origin_CANADA
## NA -1.750e+15
## origin_DELAWARE origin_ILLINOIS
## -1.701e+15 1.979e+15
## origin_MARYLAND origin_MASSACHUSETTS
## 3.171e+14 -1.321e+15
## origin_MEXICO origin_MICHIGAN
## 7.961e+13 1.630e+13
## origin_NEW.JERSEY origin_NEW.YORK
## -2.679e+14 1.416e+14
## origin_NORTH.CAROLINA origin_OHIO
## -9.301e+14 4.669e+14
## origin_PENNSYLVANIA origin_TENNESSEE
## 9.575e+14 2.239e+15
##
## ...
## and 8 more lines.</code></pre>
<p>The model print out shows the coefficients learned during
training.</p>
<p>Now weve trained the model using the training data, we can make
predictions on the test data using <a href="https://parsnip.tidymodels.org/reference/predict.model_fit.html">parsnip::predict()</a>.
Lets start by using the model to predict labels for our test set and
the probabilities for each label. When the probability is more than 0.5,
the predict class is <code>WHITE</code> else <code>ORANGE</code>.</p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" tabindex="-1"></a><span class="co"># Make predictions for color and corresponding probabilities</span></span>
<span id="cb19-2"><a href="#cb19-2" tabindex="-1"></a>results <span class="ot">&lt;-</span> pumpkins_test <span class="sc">%&gt;%</span> <span class="fu">select</span>(color) <span class="sc">%&gt;%</span> </span>
<span id="cb19-3"><a href="#cb19-3" tabindex="-1"></a> <span class="fu">bind_cols</span>(wf_fit <span class="sc">%&gt;%</span> </span>
<span id="cb19-4"><a href="#cb19-4" tabindex="-1"></a> <span class="fu">predict</span>(<span class="at">new_data =</span> pumpkins_test)) <span class="sc">%&gt;%</span></span>
<span id="cb19-5"><a href="#cb19-5" tabindex="-1"></a> <span class="fu">bind_cols</span>(wf_fit <span class="sc">%&gt;%</span></span>
<span id="cb19-6"><a href="#cb19-6" tabindex="-1"></a> <span class="fu">predict</span>(<span class="at">new_data =</span> pumpkins_test, <span class="at">type =</span> <span class="st">&quot;prob&quot;</span>))</span></code></pre></div>
<pre><code>## Warning in predict.lm(object, newdata, se.fit, scale = 1, type = if (type == :
## prediction from rank-deficient fit; attr(*, &quot;non-estim&quot;) has doubtful cases
## Warning in predict.lm(object, newdata, se.fit, scale = 1, type = if (type == :
## prediction from rank-deficient fit; attr(*, &quot;non-estim&quot;) has doubtful cases</code></pre>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" tabindex="-1"></a><span class="co"># Compare predictions</span></span>
<span id="cb21-2"><a href="#cb21-2" tabindex="-1"></a>results <span class="sc">%&gt;%</span> </span>
<span id="cb21-3"><a href="#cb21-3" tabindex="-1"></a> <span class="fu">slice_head</span>(<span class="at">n =</span> <span class="dv">10</span>)</span></code></pre></div>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
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</script>
</div>
<p>Very nice! This provides some more insights into how logistic
regression works.</p>
<p>Comparing each prediction with its corresponding “ground truth”
actual value isnt a very efficient way to determine how well the model
is predicting. Fortunately, Tidymodels has a few more tricks up its
sleeve: <a href="https://yardstick.tidymodels.org/"><code>yardstick</code></a> - a
package used to measure the effectiveness of models using performance
metrics.</p>
<p>One performance metric associated with classification problems is the
<a href="https://wikipedia.org/wiki/Confusion_matrix"><code>confusion matrix</code></a>.
A confusion matrix describes how well a classification model performs. A
confusion matrix tabulates how many examples in each class were
correctly classified by a model. In our case, it will show you how many
orange pumpkins were classified as orange and how many white pumpkins
were classified as white; the confusion matrix also shows you how many
were classified into the <strong>wrong</strong> categories.</p>
<p>The <a href="https://tidymodels.github.io/yardstick/reference/conf_mat.html"><strong><code>conf_mat()</code></strong></a>
function from yardstick calculates this cross-tabulation of observed and
predicted classes.</p>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" tabindex="-1"></a><span class="co"># Confusion matrix for prediction results</span></span>
<span id="cb22-2"><a href="#cb22-2" tabindex="-1"></a><span class="fu">conf_mat</span>(<span class="at">data =</span> results, <span class="at">truth =</span> color, <span class="at">estimate =</span> .pred_class)</span></code></pre></div>
<pre><code>## Truth
## Prediction ORANGE WHITE
## ORANGE 153 0
## WHITE 18 28</code></pre>
<p>Lets interpret the confusion matrix. Our model is asked to classify
pumpkins between two binary categories, category <code>white</code> and
category <code>not-white</code></p>
<ul>
<li><p>If your model predicts a pumpkin as white and it belongs to
category white in reality we call it a <code>true positive</code>,
shown by the top left number.</p></li>
<li><p>If your model predicts a pumpkin as not white and it belongs to
category white in reality we call it a <code>false negative</code>,
shown by the bottom left number.</p></li>
<li><p>If your model predicts a pumpkin as white and it belongs to
category not-white in reality we call it a
<code>false positive</code>, shown by the top right number.</p></li>
<li><p>If your model predicts a pumpkin as not white and it belongs to
category not-white in reality we call it a <code>true negative</code>,
shown by the bottom right number.</p></li>
</ul>
<table>
<thead>
<tr class="header">
<th align="center">Truth</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
<table>
<tbody>
<tr class="odd">
<td><strong>Predicted</strong></td>
<td>WHITE</td>
<td>ORANGE</td>
</tr>
<tr class="even">
<td>WHITE</td>
<td>TP</td>
<td>FP</td>
</tr>
<tr class="odd">
<td>ORANGE</td>
<td>FN</td>
<td>TN</td>
</tr>
</tbody>
</table>
<p>As you might have guessed its preferable to have a larger number of
true positives and true negatives and a lower number of false positives
and false negatives, which implies that the model performs better.</p>
<p>The confusion matrix is helpful since it gives rise to other metrics
that can help us better evaluate the performance of a classification
model. Lets go through some of them:</p>
<p>🎓 Precision: <code>TP/(TP + FP)</code> defined as the proportion of
predicted positives that are actually positive. Also called <a href="https://en.wikipedia.org/wiki/Positive_predictive_value" title="Positive predictive value">positive predictive value</a></p>
<p>🎓 Recall: <code>TP/(TP + FN)</code> defined as the proportion of
positive results out of the number of samples which were actually
positive. Also known as <code>sensitivity</code>.</p>
<p>🎓 Specificity: <code>TN/(TN + FP)</code> defined as the proportion
of negative results out of the number of samples which were actually
negative.</p>
<p>🎓 Accuracy: <code>TP + TN/(TP + TN + FP + FN)</code> The percentage
of labels predicted accurately for a sample.</p>
<p>🎓 F Measure: A weighted average of the precision and recall, with
best being 1 and worst being 0.</p>
<p>Lets calculate these metrics!</p>
<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" tabindex="-1"></a><span class="co"># Combine metric functions and calculate them all at once</span></span>
<span id="cb24-2"><a href="#cb24-2" tabindex="-1"></a>eval_metrics <span class="ot">&lt;-</span> <span class="fu">metric_set</span>(ppv, recall, spec, f_meas, accuracy)</span>
<span id="cb24-3"><a href="#cb24-3" tabindex="-1"></a><span class="fu">eval_metrics</span>(<span class="at">data =</span> results, <span class="at">truth =</span> color, <span class="at">estimate =</span> .pred_class)</span></code></pre></div>
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<div id="visualize-the-roc-curve-of-this-model" class="section level4">
<h4><strong>Visualize the ROC curve of this model</strong></h4>
<p>For a start, this is not a bad model; its precision, recall, F
measure and accuracy are in the 90% range so ideally you could use it to
predict the color of a pumpkin given a set of variables. It also seems
that our model was not really able to identify the white pumpkins 🧐.
Could you guess why? One reason could be because of the high prevalence
of ORANGE pumpkins in our training set making our model more inclined to
predict the majority class.</p>
<p>Lets do one more visualization to see the so-called <a href="https://en.wikipedia.org/wiki/Receiver_operating_characteristic"><code>ROC score</code></a>:</p>
<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" tabindex="-1"></a><span class="co"># Make a roc_curve</span></span>
<span id="cb25-2"><a href="#cb25-2" tabindex="-1"></a>results <span class="sc">%&gt;%</span> </span>
<span id="cb25-3"><a href="#cb25-3" tabindex="-1"></a> <span class="fu">roc_curve</span>(color, .pred_ORANGE) <span class="sc">%&gt;%</span> </span>
<span id="cb25-4"><a href="#cb25-4" tabindex="-1"></a> <span class="fu">autoplot</span>()</span></code></pre></div>
<p><img src="data:image/png;base64,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" width="672" /></p>
<p>ROC curves are often used to get a view of the output of a classifier
in terms of its true vs. false positives. ROC curves typically feature
<code>True Positive Rate</code>/Sensitivity on the Y axis, and
<code>False Positive Rate</code>/1-Specificity on the X axis. Thus, the
steepness of the curve and the space between the midpoint line and the
curve matter: you want a curve that quickly heads up and over the line.
In our case, there are false positives to start with, and then the line
heads up and over properly.</p>
<p>Finally, lets use <code>yardstick::roc_auc()</code> to calculate the
actual Area Under the Curve. One way of interpreting AUC is as the
probability that the model ranks a random positive example more highly
than a random negative example.</p>
<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" tabindex="-1"></a><span class="co"># Calculate area under curve</span></span>
<span id="cb26-2"><a href="#cb26-2" tabindex="-1"></a>results <span class="sc">%&gt;%</span> </span>
<span id="cb26-3"><a href="#cb26-3" tabindex="-1"></a> <span class="fu">roc_auc</span>(color, .pred_ORANGE)</span></code></pre></div>
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<p>The result is around <code>0.947</code>. Given that the AUC ranges
from 0 to 1, you want a big score, since a model that is 100% correct in
its predictions will have an AUC of 1; in this case, the model is
<em>pretty good</em>.</p>
<p>In future lessons on classifications, you will learn how to improve
your models scores (such as dealing with imbalanced data in this
case).</p>
<p>But for now, congratulations 🎉🎉🎉! Youve completed these
regression lessons!</p>
<p>You R awesome!</p>
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" alt="Artwork by @allison_horst" />
<div class="figcaption">Artwork by @allison_horst</div>
</div>
</div>
</div>
<div id="rmd-source-code">---
title: 'Build a regression model: logistic regression'
output:
  html_document:
    df_print: paged
    theme: flatly
    highlight: breezedark
    toc: yes
    toc_float: yes
    code_download: yes
---

## Build a logistic regression model - Lesson 4

![Logistic vs. linear regression infographic](https://github.com/microsoft/ML-For-Beginners/blob/main/2-Regression/4-Logistic/images/linear-vs-logistic.png)

#### **[Pre-lecture quiz](https://gray-sand-07a10f403.1.azurestaticapps.net/quiz/15/)**

####  Introduction

In this final lesson on Regression, one of the basic *classic* ML techniques, we will take a look at Logistic Regression. You would use this technique to discover patterns to predict `binary` `categories`. Is this candy chocolate or not? Is this disease contagious or not? Will this customer choose this product or not?

In this lesson, you will learn:

-   Techniques for logistic regression

✅ Deepen your understanding of working with this type of regression in this [Learn module](https://docs.microsoft.com/learn/modules/train-evaluate-classification-models?WT.mc_id=academic-77952-leestott)

#### **Prerequisite**

Having worked with the pumpkin data, we are now familiar enough with it to realize that there's one binary category that we can work with: `Color`.

Let's build a logistic regression model to predict that, given some variables, *what color a given pumpkin is likely to be* (orange 🎃 or white 👻).

> Why are we talking about binary classification in a lesson grouping about regression? Only for linguistic convenience, as logistic regression is [really a classification method](https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression), albeit a linear-based one. Learn about other ways to classify data in the next lesson group.

For this lesson, we'll require the following packages:

-   `tidyverse`: The [tidyverse](https://www.tidyverse.org/) is a [collection of R packages](https://www.tidyverse.org/packages) designed to makes data science faster, easier and more fun!

-   `tidymodels`: The [tidymodels](https://www.tidymodels.org/) framework is a [collection of packages](https://www.tidymodels.org/packages/) for modeling and machine learning.

-   `janitor`: The [janitor package](https://github.com/sfirke/janitor) provides simple little tools for examining and cleaning dirty data.

-   `ggbeeswarm`: The [ggbeeswarm package](https://github.com/eclarke/ggbeeswarm) provides methods to create beeswarm-style plots using ggplot2.

You can have them installed as:

`install.packages(c("tidyverse", "tidymodels", "janitor", "ggbeeswarm"))`

Alternately, the script below checks whether you have the packages required to complete this module and installs them for you in case they are missing.

```{r, message=F, warning=F}
suppressWarnings(if (!require("pacman"))install.packages("pacman"))

pacman::p_load(tidyverse, tidymodels, janitor, ggbeeswarm)
```

## **Define the question**

For our purposes, we will express this as a binary: 'White' or 'Not White'. There is also a 'striped' category in our dataset but there are few instances of it, so we will not use it. It disappears once we remove null values from the dataset, anyway.

> 🎃 Fun fact, we sometimes call white pumpkins 'ghost' pumpkins. They aren't very easy to carve, so they aren't as popular as the orange ones but they are cool looking! So we could also reformulate our question as: 'Ghost' or 'Not Ghost'. 👻

## **About logistic regression**

Logistic regression differs from linear regression, which you learned about previously, in a few important ways.

#### **Binary classification**

Logistic regression does not offer the same features as linear regression. The former offers a prediction about a `binary category` ("orange or not orange") whereas the latter is capable of predicting `continual values`, for example given the origin of a pumpkin and the time of harvest, *how much its price will rise*.

![Infographic by Dasani Madipalli](../../images/pumpkin-classifier.png){width="600"}

#### **Variables DO NOT have to correlate**

Remember how linear regression worked better with more correlated variables? Logistic regression is the opposite - the variables don't have to align. That works for this data which has somewhat weak correlations.

#### **You need a lot of clean data**

Logistic regression will give more accurate results if you use more data; our small dataset is not optimal for this task, so keep that in mind.

✅ Think about the types of data that would lend themselves well to logistic regression

## 1. Tidy the data

Now, the fun begins! Let's start by importing the data, cleaning the data a bit, dropping rows containing missing values and selecting only some of the columns:

```{r, tidyr, message=F, warning=F}
# Load the core tidyverse packages
library(tidyverse)

# Import the data and clean column names
pumpkins <- read_csv(file = "https://raw.githubusercontent.com/microsoft/ML-For-Beginners/main/2-Regression/data/US-pumpkins.csv") %>% 
  clean_names()

# Select desired columns
pumpkins_select <- pumpkins %>% 
  select(c(city_name, package, variety, origin, item_size, color)) 

# Drop rows containing missing values and encode color as factor (category)
pumpkins_select <- pumpkins_select %>% 
  drop_na() %>% 
  mutate(color = factor(color))

# View the first few rows
pumpkins_select %>% 
  slice_head(n = 5)

```

Sometimes, we may want some little more information on our data. We can have a look at the `data`, `its structure` and the `data type` of its features by using the [*glimpse()*](https://pillar.r-lib.org/reference/glimpse.html) function as below:

```{r glimpse}
pumpkins_select %>% 
  glimpse()
```

Wow! Seems that all our columns are all of type *character*, further alluding that they are all categorical.

Let's confirm that we will actually be doing a binary classification problem:

```{r distinct color}
# Subset distinct observations in outcome column
pumpkins_select %>% 
  distinct(color)

```

🥳🥳 That went down well!

## 2. Explore the data

The goal of data exploration is to try to understand the `relationships` between its attributes; in particular, any apparent correlation between the *features* and the *label* your model will try to predict. One way of doing this is by using data visualization.

Given our the data types of our columns, we can `encode` them and be on our way to making some visualizations. This simply involves `translating` a column with `categorical values` for example our columns of type *char*, into one or more `numeric columns` that take the place of the original. - Something we did in our [last lesson](https://github.com/microsoft/ML-For-Beginners/blob/main/2-Regression/3-Linear/solution/lesson_3.html).

For feature encoding there are two main types of encoders:

1. Ordinal encoder: it suits well for ordinal variables, which are categorical variables where their data follows a logical ordering, like the `item_size` column in our dataset. It creates a mapping such that each category is represented by a number, which is the order of the category in the column.

2. Categorical encoder: it suits well for nominal variables, which are categorical variables where their data does not follow a logical ordering, like all the features different from `item_size` in our dataset. It is a one-hot encoding, which means that each category is represented by a binary column: the encoded variable is equal to 1 if the pumpkin belongs to that Variety and 0 otherwise.

Tidymodels provides yet another neat package: [recipes](https://recipes.tidymodels.org/)- a package for preprocessing data. We'll define a `recipe` that specifies that all predictor columns should be encoded into a set of integers , `prep` it to estimates the required quantities and statistics needed by any operations and finally `bake` to apply the computations to new data.

> Normally, recipes is usually used as a preprocessor for modelling where it defines what steps should be applied to a data set in order to get it ready for modelling. In that case it is **highly recommend** that you use a `workflow()` instead of manually estimating a recipe using prep and bake. We'll see all this in just a moment.
>
> However for now, we are using recipes + prep + bake to specify what steps should be applied to a data set in order to get it ready for data analysis and then extract the preprocessed data with the steps applied.

```{r recipe_prep_bake}
# Preprocess and extract data to allow some data analysis
baked_pumpkins <- recipe(color ~ ., data = pumpkins_select) %>%
  # Define ordering for item_size column
  step_mutate(item_size = ordered(item_size, levels = c('sml', 'med', 'med-lge', 'lge', 'xlge', 'jbo', 'exjbo'))) %>%
  # Convert factors to numbers using the order defined above (Ordinal encoding)
  step_integer(item_size, zero_based = F) %>%
  # Encode all other predictors using one hot encoding
  step_dummy(all_nominal(), -all_outcomes(), one_hot = TRUE) %>%
  prep(data = pumpkin_select) %>%
  bake(new_data = NULL)

# Display the first few rows of preprocessed data
baked_pumpkins %>% 
  slice_head(n = 5)
```

Now, let's make a categorical plot showing the distribution of the predictors with respect to the outcome color!

```{r cat plot pumpkins-colors-variety}
# Specify colors for each value of the hue variable
palette <- c(ORANGE = "orange", WHITE = "wheat")

# Create the bar plot
ggplot(pumpkins_select, aes(y = variety, fill = color)) +
  geom_bar(position = "dodge") +
  scale_fill_manual(values = palette) +
  labs(y = "Variety", fill = "Color") +
  theme_minimal()
```

Amazing🤩! For some of the features, there's a noticeable difference in the distribution for each color label. For instance, it seems the white pumpkins can be found in smaller packages and in some particular varieties of pumpkins. The *item_size* category also seems to make a difference in the color distribution. These features may help predict the color of a pumpkin.

### **Analysing relationships between features and label**

```{r}

# Define the color palette
palette <- c(ORANGE = "orange", WHITE = "wheat")

# We need the encoded Item Size column to use it as the x-axis values in the plot
pumpkins_select_plot<-pumpkins_select
pumpkins_select_plot$item_size <- baked_pumpkins$item_size

# Create the grouped box plot
ggplot(pumpkins_select_plot, aes(x = `item_size`, y = color, fill = color)) +
  geom_boxplot() +
  facet_grid(variety ~ ., scales = "free_x") +
  scale_fill_manual(values = palette) +
  labs(x = "Item Size", y = "") +
  theme_minimal() +
  theme(strip.text = element_text(size = 12)) +
  theme(axis.text.x = element_text(size = 10)) +
  theme(axis.title.x = element_text(size = 12)) +
  theme(axis.title.y = element_blank()) +
  theme(legend.position = "bottom") +
  guides(fill = guide_legend(title = "Color")) +
  theme(panel.spacing = unit(0.5, "lines"))+
  theme(strip.text.y = element_text(size = 4, hjust = 0)) 

```

Let's now focus on a specific relationship: Item Size and Color!

#### **Use a swarm plot**

Color is a binary category (Orange or Not), it's called `categorical data`. There are other various ways of [visualizing categorical data](https://seaborn.pydata.org/tutorial/categorical.html?highlight=bar).

Try a `swarm plot` to show the distribution of color with respect to the item_size.

We'll use the [ggbeeswarm package](https://github.com/eclarke/ggbeeswarm) which provides methods to create beeswarm-style plots using ggplot2. Beeswarm plots are a way of plotting points that would ordinarily overlap so that they fall next to each other instead.

```{r bee_swarm plot}
# Create beeswarm plots of color and item_size
baked_pumpkins %>% 
  mutate(color = factor(color)) %>% 
  ggplot(mapping = aes(x = color, y = item_size, color = color)) +
  geom_quasirandom() +
  scale_color_brewer(palette = "Dark2", direction = -1) +
  theme(legend.position = "none")
```
Now that we have an idea of the relationship between the binary categories of color and the larger group of sizes, let's explore logistic regression to determine a given pumpkin's likely color.

## 3. Build your model

Let's begin by splitting the data into `training` and `test` sets. The training set is used to train a classifier so that it finds a statistical relationship between the features and the label value.

It is best practice to hold out some of your data for **testing** in order to get a better estimate of how your models will perform on new data by comparing the predicted labels with the already known labels in the test set. [rsample](https://rsample.tidymodels.org/), a package in Tidymodels, provides infrastructure for efficient data splitting and resampling:

```{r split_data}
# Split data into 80% for training and 20% for testing
set.seed(2056)
pumpkins_split <- pumpkins_select %>% 
  initial_split(prop = 0.8)

# Extract the data in each split
pumpkins_train <- training(pumpkins_split)
pumpkins_test <- testing(pumpkins_split)

# Print out the first 5 rows of the training set
pumpkins_train %>% 
  slice_head(n = 5)
```

🙌 We are now ready to train a model by fitting the training features to the training label (color).

We'll begin by creating a recipe that specifies the preprocessing steps that should be carried out on our data to get it ready for modelling i.e: encoding categorical variables into a set of integers. Just like `baked_pumpkins`, we create a `pumpkins_recipe` but do not `prep` and `bake` since it would be bundled into a workflow, which you will see in just a few steps from now. 

There are quite a number of ways to specify a logistic regression model in Tidymodels. See `?logistic_reg()` For now, we'll specify a logistic regression model via the default `stats::glm()` engine.

```{r log_reg}
# Create a recipe that specifies preprocessing steps for modelling
pumpkins_recipe <- recipe(color ~ ., data = pumpkins_train) %>% 
  step_mutate(item_size = ordered(item_size, levels = c('sml', 'med', 'med-lge', 'lge', 'xlge', 'jbo', 'exjbo'))) %>%
  step_integer(item_size, zero_based = F) %>%  
  step_dummy(all_nominal(), -all_outcomes(), one_hot = TRUE)

# Create a logistic model specification
log_reg <- logistic_reg() %>% 
  set_engine("glm") %>% 
  set_mode("classification")

```

Now that we have a recipe and a model specification, we need to find a way of bundling them together into an object that will first preprocess the data (prep+bake behind the scenes), fit the model on the preprocessed data and also allow for potential post-processing activities.

In Tidymodels, this convenient object is called a [`workflow`](https://workflows.tidymodels.org/) and conveniently holds your modeling components.

```{r workflow}
# Bundle modelling components in a workflow
log_reg_wf <- workflow() %>% 
  add_recipe(pumpkins_recipe) %>% 
  add_model(log_reg)

# Print out the workflow
log_reg_wf

```

After a workflow has been *specified*, a model can be `trained` using the [`fit()`](https://tidymodels.github.io/parsnip/reference/fit.html) function. The workflow will estimate a recipe and preprocess the data before training, so we won't have to manually do that using prep and bake.


```{r train}
# Train the model
wf_fit <- log_reg_wf %>% 
  fit(data = pumpkins_train)

# Print the trained workflow
wf_fit


```

The model print out shows the coefficients learned during training.

Now we've trained the model using the training data, we can make predictions on the test data using [parsnip::predict()](https://parsnip.tidymodels.org/reference/predict.model_fit.html). Let's start by using the model to predict labels for our test set and the probabilities for each label. When the probability is more than 0.5, the predict class is `WHITE` else `ORANGE`.

```{r test_pred}
# Make predictions for color and corresponding probabilities
results <- pumpkins_test %>% select(color) %>% 
  bind_cols(wf_fit %>% 
              predict(new_data = pumpkins_test)) %>%
  bind_cols(wf_fit %>%
              predict(new_data = pumpkins_test, type = "prob"))

# Compare predictions
results %>% 
  slice_head(n = 10)

```

Very nice! This provides some more insights into how logistic regression works.

Comparing each prediction with its corresponding "ground truth" actual value isn't a very efficient way to determine how well the model is predicting. Fortunately, Tidymodels has a few more tricks up its sleeve: [`yardstick`](https://yardstick.tidymodels.org/) - a package used to measure the effectiveness of models using performance metrics.

One performance metric associated with classification problems is the [`confusion matrix`](https://wikipedia.org/wiki/Confusion_matrix). A confusion matrix describes how well a classification model performs. A confusion matrix tabulates how many examples in each class were correctly classified by a model. In our case, it will show you how many orange pumpkins were classified as orange and how many white pumpkins were classified as white; the confusion matrix also shows you how many were classified into the **wrong** categories.

The [**`conf_mat()`**](https://tidymodels.github.io/yardstick/reference/conf_mat.html) function from yardstick calculates this cross-tabulation of observed and predicted classes.

```{r conf_mat}
# Confusion matrix for prediction results
conf_mat(data = results, truth = color, estimate = .pred_class)
```

Let's interpret the confusion matrix. Our model is asked to classify pumpkins between two binary categories, category `white` and category `not-white`

-   If your model predicts a pumpkin as white and it belongs to category 'white' in reality we call it a `true positive`, shown by the top left number.

-   If your model predicts a pumpkin as not white and it belongs to category 'white' in reality we call it a `false negative`, shown by the bottom left number.

-   If your model predicts a pumpkin as white and it belongs to category 'not-white' in reality we call it a `false positive`, shown by the top right number.

-   If your model predicts a pumpkin as not white and it belongs to category 'not-white' in reality we call it a `true negative`, shown by the bottom right number.

| Truth |
|:-----:|


|               |        |       |
|---------------|--------|-------|
| **Predicted** | WHITE | ORANGE |
| WHITE        | TP     | FP    |
| ORANGE         | FN     | TN    |

As you might have guessed it's preferable to have a larger number of true positives and true negatives and a lower number of false positives and false negatives, which implies that the model performs better.

The confusion matrix is helpful since it gives rise to other metrics that can help us better evaluate the performance of a classification model. Let's go through some of them:

🎓 Precision: `TP/(TP + FP)` defined as the proportion of predicted positives that are actually positive. Also called [positive predictive value](https://en.wikipedia.org/wiki/Positive_predictive_value "Positive predictive value")

🎓 Recall: `TP/(TP + FN)` defined as the proportion of positive results out of the number of samples which were actually positive. Also known as `sensitivity`.

🎓 Specificity: `TN/(TN + FP)` defined as the proportion of negative results out of the number of samples which were actually negative.

🎓 Accuracy: `TP + TN/(TP + TN + FP + FN)` The percentage of labels predicted accurately for a sample.

🎓 F Measure: A weighted average of the precision and recall, with best being 1 and worst being 0.

Let's calculate these metrics!

```{r metric_set}
# Combine metric functions and calculate them all at once
eval_metrics <- metric_set(ppv, recall, spec, f_meas, accuracy)
eval_metrics(data = results, truth = color, estimate = .pred_class)
```

#### **Visualize the ROC curve of this model**

For a start, this is not a bad model; its precision, recall, F measure and accuracy are in the 90% range so ideally you could use it to predict the color of a pumpkin given a set of variables. It also seems that our model was not really able to identify the white pumpkins 🧐. Could you guess why? One reason could be because of the high prevalence of ORANGE pumpkins in our training set making our model more inclined to predict the majority class.

Let's do one more visualization to see the so-called [`ROC score`](https://en.wikipedia.org/wiki/Receiver_operating_characteristic):

```{r roc_curve}
# Make a roc_curve
results %>% 
  roc_curve(color, .pred_ORANGE) %>% 
  autoplot()

```

ROC curves are often used to get a view of the output of a classifier in terms of its true vs. false positives. ROC curves typically feature `True Positive Rate`/Sensitivity on the Y axis, and `False Positive Rate`/1-Specificity on the X axis. Thus, the steepness of the curve and the space between the midpoint line and the curve matter: you want a curve that quickly heads up and over the line. In our case, there are false positives to start with, and then the line heads up and over properly.

Finally, let's use `yardstick::roc_auc()` to calculate the actual Area Under the Curve. One way of interpreting AUC is as the probability that the model ranks a random positive example more highly than a random negative example.

```{r roc_aoc}
# Calculate area under curve
results %>% 
  roc_auc(color, .pred_ORANGE)

```

The result is around `0.947`. Given that the AUC ranges from 0 to 1, you want a big score, since a model that is 100% correct in its predictions will have an AUC of 1; in this case, the model is *pretty good*.

In future lessons on classifications, you will learn how to improve your model's scores (such as dealing with imbalanced data in this case).

But for now, congratulations 🎉🎉🎉! You've completed these regression lessons!

You R awesome!

![Artwork by \@allison_horst](../../images/r_learners_sm.jpeg)
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