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<title>Reproducible Research - Peer Assessment 1</title>

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oPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff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AxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%2FnAVHR0VAZAVHR0V%2FnAVHQJYHRUBkBUdHRX%2BcBUdHRUBkBUdHRX%2BcBUdMgGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHf29AZAVHR0V%2FnAVHR0CbQGQFR0dFf5wFR0dAAAJAAAAAARMBEwADwAfAC8APwBPAF8AbwB%2FAI8AdgCyDQAAK7E8bDMzsATNsTRkMjKwHS%2BxTHwzM7AUzbFEdDIysC0vsVyMMzOwJM2xVIQyMgGwkC%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%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qGQEsZGTIyMjIZAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9mgGQZGRkZGRkZGQA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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyNzA5OyIgZD0iTTAgMTAwbDQwMCA0MDBsMjAwIC0yMDBsMjAwIDIwMGw0MDAgLTQwMGgtMTIwMHpNMCAzMDB2NjAwbDMwMCAtMzAwek0wIDExMDBsNjAwIC02MDNsNjAwIDYwM2gtMTIwMHpNOTAwIDYwMGwzMDAgMzAwdi02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjcwZjsiIGQ9Ik0tMTMgLTEzbDMzMyAxMTJsLTIyMyAyMjN6TTE4NyA0MDNsMjE0IC0yMTRsNjE0IDYxNGwtMjE0IDIxNHpNODg3IDExMDNsMjE0IC0yMTRsOTkgOTJxMTMgMTMgMTMgMzIuNXQtMTMgMzMuNWwtMTUzIDE1M3EtMTUgMTMgLTMzIDEzdC0zMyAtMTN6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAwMTsiIGQ9Ik0wIDEyMDBoMTIwMGwtNTAwIC01NTB2LTU1MGgzMDB2LTEwMGgtODAwdjEwMGgzMDB2NTUweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMDI7IiBkPSJNMTQgODRxMTggLTU1IDg2IC03NS41dDE0NyA1LjVxNjUgMjEgMTA5IDY5dDQ0IDkwdjYwNmw2MDAgMTU1di01MjFxLTY0IDE2IC0xMzggLTdxLTc5IC0yNiAtMTIyLjUgLTgzdC0yNS41IC0xMTFxMTggLTU1IDg2IC03NS41dDE0NyA0LjVxNzAgMjMgMTExLjUgNjMuNXQ0MS41IDk1LjV2ODgxcTAgMTAgLTcgMTUuNXQtMTcgMi41bC03NTIgLTE5M3EtMTAgLTMgLTE3IC0xMi41dC03IC0xOS41di02ODlxLTY0IDE3IC0xMzggLTcgcS03OSAtMjUgLTEyMi41IC04MnQtMjUuNSAtMTEyeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMDM7IiBkPSJNMjMgNjkzcTAgMjAwIDE0MiAzNDJ0MzQyIDE0MnQzNDIgLTE0MnQxNDIgLTM0MnEwIC0xNDIgLTc4IC0yNjFsMzAwIC0zMDBxNyAtOCA3IC0xOHQtNyAtMThsLTEwOSAtMTA5cS04IC03IC0xOCAtN3QtMTggN2wtMzAwIDMwMHEtMTE5IC03OCAtMjYxIC03OHEtMjAwIDAgLTM0MiAxNDJ0LTE0MiAzNDJ6TTE3NiA2OTNxMCAtMTM2IDk3IC0yMzN0MjM0IC05N3QyMzMuNSA5Ni41dDk2LjUgMjMzLjV0LTk2LjUgMjMzLjV0LTIzMy41IDk2LjUgdC0yMzQgLTk3dC05NyAtMjMzeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMDU7IiBkPSJNMTAwIDc4NHEwIDY0IDI4IDEyM3Q3MyAxMDAuNXQxMDQuNSA2NHQxMTkgMjAuNXQxMjAgLTM4LjV0MTA0LjUgLTEwNC41cTQ4IDY5IDEwOS41IDEwNXQxMjEuNSAzOHQxMTguNSAtMjAuNXQxMDIuNSAtNjR0NzEgLTEwMC41dDI3IC0xMjNxMCAtNTcgLTMzLjUgLTExNy41dC05NCAtMTI0LjV0LTEyNi41IC0xMjcuNXQtMTUwIC0xNTIuNXQtMTQ2IC0xNzRxLTYyIDg1IC0xNDUuNSAxNzR0LTE0OS41IDE1Mi41dC0xMjYuNSAxMjcuNSB0LTk0IDEyNC41dC0zMy41IDExNy41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMDY7IiBkPSJNLTcyIDgwMGg0NzlsMTQ2IDQwMGgybDE0NiAtNDAwaDQ3MmwtMzgyIC0yNzhsMTQ1IC00NDlsLTM4NCAyNzVsLTM4MiAtMjc1bDE0NiA0NDd6TTE2OCA3MWwyIDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAwNzsiIGQ9Ik0tNzIgODAwaDQ3OWwxNDYgNDAwaDJsMTQ2IC00MDBoNDcybC0zODIgLTI3OGwxNDUgLTQ0OWwtMzg0IDI3NWwtMzgyIC0yNzVsMTQ2IDQ0N3pNMTY4IDcxbDIgMXpNMjM3IDcwMGwxOTYgLTE0MmwtNzMgLTIyNmwxOTIgMTQwbDE5NSAtMTQxbC03NCAyMjlsMTkzIDE0MGgtMjM1bC03NyAyMTFsLTc4IC0yMTFoLTIzOXoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI0OyIgZD0iTS0xMDAgMGw0MzEgMTIwMGgyMDlsLTIxIC0zMDBoMTYybC0yMCAzMDBoMjA4bDQzMSAtMTIwMGgtNTM4bC00MSA0MDBoLTI0MmwtNDAgLTQwMGgtNTM5ek00ODggNTAwaDIyNGwtMjcgMzAwaC0xNzB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAyNTsiIGQ9Ik0wIDB2NDAwaDQ5MGwtMjkwIDMwMGgyMDB2NTAwaDMwMHYtNTAwaDIwMGwtMjkwIC0zMDBoNDkwdi00MDBoLTExMDB6TTgxMyAyMDBoMTc1djEwMGgtMTc1di0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAyNjsiIGQ9Ik0xIDYwMHEwIDEyMiA0Ny41IDIzM3QxMjcuNSAxOTF0MTkxIDEyNy41dDIzMyA0Ny41dDIzMyAtNDcuNXQxOTEgLTEyNy41dDEyNy41IC0xOTF0NDcuNSAtMjMzdC00Ny41IC0yMzN0LTEyNy41IC0xOTF0LTE5MSAtMTI3LjV0LTIzMyAtNDcuNXQtMjMzIDQ3LjV0LTE5MSAxMjcuNXQtMTI3LjUgMTkxdC00Ny41IDIzM3pNMTg4IDYwMHEwIC0xNzAgMTIxIC0yOTF0MjkxIC0xMjF0MjkxIDEyMXQxMjEgMjkxdC0xMjEgMjkxdC0yOTEgMTIxIHQtMjkxIC0xMjF0LTEyMSAtMjkxek0zNTAgNjAwaDE1MHYzMDBoMjAwdi0zMDBoMTUwbC0yNTAgLTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU5OyIgZD0iTTAgMjc1djY1MHEwIDMxIDIyIDUzdDUzIDIyaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzek05MDAgNjAwbDMwMCAzMDB2LTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDYwOyIgZD0iTTAgNDR2MTAxMnEwIDE4IDEzIDMxdDMxIDEzaDExMTJxMTkgMCAzMS41IC0xM3QxMi41IC0zMXYtMTAxMnEwIC0xOCAtMTIuNSAtMzF0LTMxLjUgLTEzaC0xMTEycS0xOCAwIC0zMSAxM3QtMTMgMzF6TTEwMCAyNjNsMjQ3IDE4MmwyOTggLTEzMWwtNzQgMTU2bDI5MyAzMThsMjM2IC0yODh2NTAwaC0xMDAwdi03Mzd6TTIwOCA3NTBxMCA1NiAzOSA5NXQ5NSAzOXQ5NSAtMzl0MzkgLTk1dC0zOSAtOTV0LTk1IC0zOXQtOTUgMzl0LTM5IDk1eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgyOyIgZD0iTTMgNjAwcTAgMTYyIDgwIDI5OS41dDIxNy41IDIxNy41dDI5OS41IDgwdDI5OS41IC04MHQyMTcuNSAtMjE3LjV0ODAgLTI5OS41dC04MCAtMjk5LjV0LTIxNy41IC0yMTcuNXQtMjk5LjUgLTgwdC0yOTkuNSA4MHQtMjE3LjUgMjE3LjV0LTgwIDI5OS41ek0zMDAgNTAwaDYwMHYyMDBoLTYwMHYtMjAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODM7IiBkPSJNMyA2MDBxMCAxNjIgODAgMjk5LjV0MjE3LjUgMjE3LjV0Mjk5LjUgODB0Mjk5LjUgLTgwdDIxNy41IC0yMTcuNXQ4MCAtMjk5LjV0LTgwIC0yOTkuNXQtMjE3LjUgLTIxNy41dC0yOTkuNSAtODB0LTI5OS41IDgwdC0yMTcuNSAyMTcuNXQtODAgMjk5LjV6TTI0NiA0NTlsMjEzIC0yMTNsMTQxIDE0MmwxNDEgLTE0MmwyMTMgMjEzbC0xNDIgMTQxbDE0MiAxNDFsLTIxMyAyMTJsLTE0MSAtMTQxbC0xNDEgMTQybC0yMTIgLTIxM2wxNDEgLTE0MSB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4NDsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMjcwIDU1MWwyNzYgLTI3N2w0MTEgNDExbC0xNzUgMTc0bC0yMzYgLTIzNmwtMTAyIDEwMnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDg1OyIgZD0iTTMgNjAwcTAgMTYyIDgwIDI5OS41dDIxNy41IDIxNy41dDI5OS41IDgwdDI5OS41IC04MHQyMTcuNSAtMjE3LjV0ODAgLTI5OS41dC04MCAtMjk5LjV0LTIxNy41IC0yMTcuNXQtMjk5LjUgLTgwdC0yOTkuNSA4MHQtMjE3LjUgMjE3LjV0LTgwIDI5OS41ek0zNjQgNzAwaDE0M3E0IDAgMTEuNSAtMXQxMSAtMXQ2LjUgM3QzIDl0MSAxMXQzLjUgOC41dDMuNSA2dDUuNSA0dDYuNSAyLjV0OSAxLjV0OSAwLjVoMTEuNWgxMi41IHExOSAwIDMwIC0xMHQxMSAtMjZxMCAtMjIgLTQgLTI4dC0yNyAtMjJxLTUgLTEgLTEyLjUgLTN0LTI3IC0xMy41dC0zNCAtMjd0LTI2LjUgLTQ2dC0xMSAtNjguNWgyMDBxNSAzIDE0IDh0MzEuNSAyNS41dDM5LjUgNDUuNXQzMSA2OXQxNCA5NHEwIDUxIC0xNy41IDg5dC00MiA1OHQtNTguNSAzMnQtNTguNSAxNXQtNTEuNSAzcS01MCAwIC05MC41IC0xMnQtNzUgLTM4LjV0LTUzLjUgLTc0LjV0LTE5IC0xMTR6TTUwMCAzMDBoMjAwdjEwMGgtMjAwIHYtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODY7IiBkPSJNMyA2MDBxMCAxNjIgODAgMjk5LjV0MjE3LjUgMjE3LjV0Mjk5LjUgODB0Mjk5LjUgLTgwdDIxNy41IC0yMTcuNXQ4MCAtMjk5LjV0LTgwIC0yOTkuNXQtMjE3LjUgLTIxNy41dC0yOTkuNSAtODB0LTI5OS41IDgwdC0yMTcuNSAyMTcuNXQtODAgMjk5LjV6TTQwMCAzMDBoNDAwdjEwMGgtMTAwdjMwMGgtMzAwdi0xMDBoMTAwdi0yMDBoLTEwMHYtMTAwek01MDAgODAwaDIwMHYxMDBoLTIwMHYtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODc7IiBkPSJNMCA1MDB2MjAwaDE5NXEzMSAxMjUgOTguNSAxOTkuNXQyMDYuNSAxMDAuNXYyMDBoMjAwdi0yMDBxNTQgLTIwIDExMyAtNjB0MTEyLjUgLTEwNS41dDcxLjUgLTEzNC41aDIwM3YtMjAwaC0yMDNxLTI1IC0xMDIgLTExNi41IC0xODZ0LTE4MC41IC0xMTd2LTE5N2gtMjAwdjE5N3EtMTQwIDI3IC0yMDggMTAyLjV0LTk4IDIwMC41aC0xOTR6TTI5MCA1MDBxMjQgLTczIDc5LjUgLTEyNy41dDEzMC41IC03OC41djIwNmgyMDB2LTIwNiBxMTQ5IDQ4IDIwMSAyMDZoLTIwMXYyMDBoMjAwcS0yNSA3NCAtNzUuNSAxMjd0LTEyNC41IDc3di0yMDRoLTIwMHYyMDNxLTc1IC0yMyAtMTMwIC03N3QtNzkgLTEyNmgyMDl2LTIwMGgtMjEweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODg7IiBkPSJNNCA2MDBxMCAxNjIgODAgMjk5dDIxNyAyMTd0Mjk5IDgwdDI5OSAtODB0MjE3IC0yMTd0ODAgLTI5OXQtODAgLTI5OXQtMjE3IC0yMTd0LTI5OSAtODB0LTI5OSA4MHQtMjE3IDIxN3QtODAgMjk5ek0xODYgNjAwcTAgLTE3MSAxMjEuNSAtMjkyLjV0MjkyLjUgLTEyMS41dDI5Mi41IDEyMS41dDEyMS41IDI5Mi41dC0xMjEuNSAyOTIuNXQtMjkyLjUgMTIxLjV0LTI5Mi41IC0xMjEuNXQtMTIxLjUgLTI5Mi41ek0zNTYgNDY1bDEzNSAxMzUgbC0xMzUgMTM1bDEwOSAxMDlsMTM1IC0xMzVsMTM1IDEzNWwxMDkgLTEwOWwtMTM1IC0xMzVsMTM1IC0xMzVsLTEwOSAtMTA5bC0xMzUgMTM1bC0xMzUgLTEzNXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTE4OyIgZD0iTTEgMGwzMDAgNzAwaDEyMDBsLTMwMCAtNzAwaC0xMjAwek0xIDQwMHY2MDBoMjAwcTAgNDEgMjkuNSA3MC41dDcwLjUgMjkuNWgzMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjVoNTAwdi0yMDBoLTEwMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTExOTsiIGQ9Ik0zMDIgMzAwaDE5OHY2MDBoLTE5OGwyOTggMzAwbDI5OCAtMzAwaC0xOTh2LTYwMGgxOThsLTI5OCAtMzAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMjA7IiBkPSJNMCA2MDBsMzAwIDI5OHYtMTk4aDYwMHYxOThsMzAwIC0yOThsLTMwMCAtMjk3djE5N2gtNjAwdi0xOTd6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyMTsiIGQ9Ik0wIDEwMHYxMDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDEwMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjV2LTEwMHEwIC00MSAtMjkuNSAtNzAuNXQtNzAuNSAtMjkuNWgtMTAwMHEtNDEgMCAtNzAuNSAyOS41dC0yOS41IDcwLjV6TTMxIDQwMGwxNzIgNzM5cTUgMjIgMjMgNDEuNXQzOCAxOS41aDY3MnExOSAwIDM3LjUgLTIyLjV0MjMuNSAtNDUuNWwxNzIgLTczMmgtMTEzOHpNODAwIDEwMGgxMDB2MTAwaC0xMDB2LTEwMHogTTEwMDAgMTAwaDEwMHYxMDBoLTEwMHYtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMjI7IiBkPSJNLTEwMSA2MDB2NTBxMCAyNCAyNSA0OXQ1MCAzOGwyNSAxM3YtMjUwbC0xMSA1LjV0LTI0IDE0dC0zMCAyMS41dC0yNCAyNy41dC0xMSAzMS41ek0xMDAgNTAwdjI1MHY4djh2N3QwLjUgN3QxLjUgNS41dDIgNXQzIDR0NC41IDMuNXQ2IDEuNXQ3LjUgMC41aDIwMGw2NzUgMjUwdi04NTBsLTY3NSAyMDBoLTM4bDQ3IC0yNzZxMiAtMTIgLTMgLTE3LjV0LTExIC02dC0yMSAtMC41aC04aC04M3EtMjAgMCAtMzQuNSAxNHQtMTguNSAzNSBxLTU1IDMzNyAtNTUgMzUxek0xMTAwIDIwMHY4NTBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41cTIwIDAgMzUgLTE0LjV0MTUgLTM1LjV2LTg1MHEwIC0yMCAtMTUgLTM1dC0zNSAtMTVxLTIxIDAgLTM1LjUgMTV0LTE0LjUgMzV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyMzsiIGQ9Ik03NCAzNTBxMCAyMSAxMy41IDM1LjV0MzMuNSAxNC41aDE4bDExNyAxNzNsNjMgMzI3cTE1IDc3IDc2IDE0MHQxNDQgODNsLTE4IDMycS02IDE5IDMgMzJ0MjkgMTNoOTRxMjAgMCAyOSAtMTAuNXQzIC0yOS41cS0xOCAtMzYgLTE4IC0zN3E4MyAtMTkgMTQ0IC04Mi41dDc2IC0xNDAuNWw2MyAtMzI3bDExOCAtMTczaDE3cTIwIDAgMzMuNSAtMTQuNXQxMy41IC0zNS41cTAgLTIwIC0xMyAtNDB0LTMxIC0yN3EtOCAtMyAtMjMgLTguNSB0LTY1IC0yMHQtMTAzIC0yNXQtMTMyLjUgLTE5LjV0LTE1OC41IC05cS0xMjUgMCAtMjQ1LjUgMjAuNXQtMTc4LjUgNDAuNWwtNTggMjBxLTE4IDcgLTMxIDI3LjV0LTEzIDQwLjV6TTQ5NyAxMTBxMTIgLTQ5IDQwIC03OS41dDYzIC0zMC41dDYzIDMwLjV0MzkgNzkuNXEtNDggLTYgLTEwMiAtNnQtMTAzIDZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyNDsiIGQ9Ik0yMSA0NDVsMjMzIC00NWwtNzggLTIyNGwyMjQgNzhsNDUgLTIzM2wxNTUgMTc5bDE1NSAtMTc5bDQ1IDIzM2wyMjQgLTc4bC03OCAyMjRsMjM0IDQ1bC0xODAgMTU1bDE4MCAxNTZsLTIzNCA0NGw3OCAyMjVsLTIyNCAtNzhsLTQ1IDIzM2wtMTU1IC0xODBsLTE1NSAxODBsLTQ1IC0yMzNsLTIyNCA3OGw3OCAtMjI1bC0yMzMgLTQ0bDE3OSAtMTU2eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMjU7IiBkPSJNMCAyMDBoMjAwdjYwMGgtMjAwdi02MDB6TTMwMCAyNzVxMCAtNzUgMTAwIC03NWg2MXExMjQgLTEwMCAxMzkgLTEwMGgyNTBxNDYgMCA4MyA1N2wyMzggMzQ0cTI5IDMxIDI5IDc0djEwMHEwIDQ0IC0zMC41IDg0LjV0LTY5LjUgNDAuNWgtMzI4cTI4IDExOCAyOCAxMjV2MTUwcTAgNDQgLTMwLjUgODQuNXQtNjkuNSA0MC41aC01MHEtMjcgMCAtNTEgLTIwdC0zOCAtNDhsLTk2IC0xOThsLTE0NSAtMTk2cS0yMCAtMjYgLTIwIC02M3YtNDAweiBNNDAwIDMwMHYzNzVsMTUwIDIxM2wxMDAgMjEyaDUwdi0xNzVsLTUwIC0yMjVoNDUwdi0xMjVsLTI1MCAtMzc1aC0yMTRsLTEzNiAxMDBoLTEwMHoiIC8%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTc0OyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTI2OWwtMTAzIC0xMDNsLTE3MCAxNzBsLTI5OCAtMjk4aC0zMjl2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNjAwIDEwMDBoMTAwdjIwMGgtMTAwdi0yMDB6TTcwMCAxMzNsMTcwIDE3MGwtMTcwIDE3MGwxMjcgMTI3bDE3MCAtMTcwbDE3MCAxNzBsMTI3IC0xMjhsLTE3MCAtMTY5bDE3MCAtMTcwIGwtMTI3IC0xMjdsLTE3MCAxNzBsLTE3MCAtMTcweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxNzU7IiBkPSJNMCAxNTB2MTAwMHEwIDIwIDE0LjUgMzV0MzUuNSAxNWgyNTB2LTMwMGg1MDB2MzAwaDEwMGwyMDAgLTIwMHYtMzAwaC00MDB2LTIwMGgtNTAwdi00MDBoLTE1MHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV6TTYwMCAzMDBsMzAwIC0zMDBsMzAwIDMwMGgtMjAwdjMwMGgtMjAwdi0zMDBoLTIwMHpNNjAwIDEwMDB2MjAwaDEwMHYtMjAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3NjsiIGQ9Ik0wIDE1MHYxMDAwcTAgMjAgMTQuNSAzNXQzNS41IDE1aDI1MHYtMzAwaDUwMHYzMDBoMTAwbDIwMCAtMjAwdi00MDJsLTIwMCAyMDBsLTI5OCAtMjk4aC00MDJ2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNjAwIDMwMGgyMDB2LTMwMGgyMDB2MzAwaDIwMGwtMzAwIDMwMHpNNjAwIDEwMDB2MjAwaDEwMHYtMjAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3NzsiIGQ9Ik0wIDI1MHEwIC0yMSAxNC41IC0zNS41dDM1LjUgLTE0LjVoMTEwMHEyMSAwIDM1LjUgMTQuNXQxNC41IDM1LjV2NTUwaC0xMjAwdi01NTB6TTAgOTAwaDEyMDB2MTUwcTAgMjEgLTE0LjUgMzUuNXQtMzUuNSAxNC41aC0xMTAwcS0yMSAwIC0zNS41IC0xNC41dC0xNC41IC0zNS41di0xNTB6TTEwMCAzMDB2MjAwaDQwMHYtMjAwaC00MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3ODsiIGQ9Ik0wIDQwMGwzMDAgMjk4di0xOThoNDAwdi0yMDBoLTQwMHYtMTk4ek0xMDAgODAwdjIwMGgxMDB2LTIwMGgtMTAwek0zMDAgODAwdjIwMGgxMDB2LTIwMGgtMTAwek01MDAgODAwdjIwMGg0MDB2MTk4bDMwMCAtMjk4bC0zMDAgLTI5OHYxOThoLTQwMHpNODAwIDMwMHYyMDBoMTAwdi0yMDBoLTEwMHpNMTAwMCAzMDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3OTsiIGQ9Ik0xMDAgNzAwdjQwMGw1MCAxMDBsNTAgLTEwMHYtMzAwaDEwMHYzMDBsNTAgMTAwbDUwIC0xMDB2LTMwMGgxMDB2MzAwbDUwIDEwMGw1MCAtMTAwdi00MDBsLTEwMCAtMjAzdi00NDdxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTIwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2NDQ3ek04MDAgNTk3cTAgLTI5IDEwLjUgLTU1LjV0MjUgLTQzdDI5IC0yOC41dDI1LjUgLTE4bDEwIC01di0zOTdxMCAtMjEgMTQuNSAtMzUuNSB0MzUuNSAtMTQuNWgyMDBxMjEgMCAzNS41IDE0LjV0MTQuNSAzNS41djExMDZxMCAzMSAtMTggNDAuNXQtNDQgLTcuNWwtMjc2IC0xMTZxLTI1IC0xNyAtNDMuNSAtNTEuNXQtMTguNSAtNjUuNXYtMzU5eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxODA7IiBkPSJNMTAwIDBoNDAwdjU2cS03NSAwIC04Ny41IDZ0LTEyLjUgNDR2Mzk0aDUwMHYtMzk0cTAgLTM4IC0xMi41IC00NHQtODcuNSAtNnYtNTZoNDAwdjU2cS00IDAgLTExIDAuNXQtMjQgM3QtMzAgN3QtMjQgMTV0LTExIDI0LjV2ODg4cTAgMjIgMjUgMzQuNXQ1MCAxMy41bDI1IDJ2NTZoLTQwMHYtNTZxNzUgMCA4Ny41IC02dDEyLjUgLTQ0di0zOTRoLTUwMHYzOTRxMCAzOCAxMi41IDQ0dDg3LjUgNnY1NmgtNDAwdi01NnE0IDAgMTEgLTAuNSB0MjQgLTN0MzAgLTd0MjQgLTE1dDExIC0yNC41di04ODhxMCAtMjIgLTI1IC0zNC41dC01MCAtMTMuNWwtMjUgLTJ2LTU2eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxODE7IiBkPSJNMCAzMDBxMCAtNDEgMjkuNSAtNzAuNXQ3MC41IC0yOS41aDMwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2NTAwcTAgNDEgLTI5LjUgNzAuNXQtNzAuNSAyOS41aC0zMDBxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMHpNMTAwIDEwMGg0MDBsMjAwIDIwMGgxMDVsMjk1IDk4di0yOThoLTQyNWwtMTAwIC0xMDBoLTM3NXpNMTAwIDMwMHYyMDBoMzAwdi0yMDBoLTMwMHpNMTAwIDYwMHYyMDBoMzAwdi0yMDBoLTMwMHogTTEwMCAxMDAwaDQwMGwyMDAgLTIwMHYtOThsMjk1IDk4aDEwNXYyMDBoLTQyNWwtMTAwIDEwMGgtMzc1ek03MDAgNDAydjE2M2w0MDAgMTMzdi0xNjN6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE4MjsiIGQ9Ik0xNi41IDk3NC41cTAuNSAtMjEuNSAxNiAtOTB0NDYuNSAtMTQwdDEwNCAtMTc3LjV0MTc1IC0yMDhxMTAzIC0xMDMgMjA3LjUgLTE3NnQxODAgLTEwMy41dDEzNyAtNDd0OTIuNSAtMTYuNWwzMSAxbDE2MyAxNjJxMTcgMTggMTMuNSA0MXQtMjIuNSAzN2wtMTkyIDEzNnEtMTkgMTQgLTQ1IDEydC00MiAtMTlsLTExOCAtMTE4cS0xNDIgMTAxIC0yNjggMjI3dC0yMjcgMjY4bDExOCAxMThxMTcgMTcgMjAgNDEuNXQtMTEgNDQuNSBsLTEzOSAxOTRxLTE0IDE5IC0zNi41IDIydC00MC41IC0xNGwtMTYyIC0xNjJxLTEgLTExIC0wLjUgLTMyLjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE4MzsiIGQ9Ik0wIDUwdjIxMnEwIDIwIDEwLjUgNDUuNXQyNC41IDM5LjVsMzY1IDMwM3Y1MHEwIDQgMSAxMC41dDEyIDIyLjV0MzAgMjguNXQ2MCAyM3Q5NyAxMC41dDk3IC0xMHQ2MCAtMjMuNXQzMCAtMjcuNXQxMiAtMjRsMSAtMTB2LTUwbDM2NSAtMzAzcTE0IC0xNCAyNC41IC0zOS41dDEwLjUgLTQ1LjV2LTIxMnEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTEwMHEtMjAgMCAtMzUgMTQuNXQtMTUgMzUuNXpNMCA3MTIgcTAgLTIxIDE0LjUgLTMzLjV0MzQuNSAtOC41bDIwMiAzM3EyMCA0IDM0LjUgMjF0MTQuNSAzOHYxNDZxMTQxIDI0IDMwMCAyNHQzMDAgLTI0di0xNDZxMCAtMjEgMTQuNSAtMzh0MzQuNSAtMjFsMjAyIC0zM3EyMCAtNCAzNC41IDguNXQxNC41IDMzLjV2MjAwcS02IDggLTE5IDIwLjV0LTYzIDQ1dC0xMTIgNTd0LTE3MSA0NXQtMjM1IDIwLjVxLTkyIDAgLTE3NSAtMTAuNXQtMTQxLjUgLTI3dC0xMDguNSAtMzYuNXQtODEuNSAtNDAgdC01My41IC0zNi41dC0zMSAtMjcuNWwtOSAtMTB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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<div id="header">
<h1 class="title">Reproducible Research - Peer Assessment 1</h1>
</div>


<div id="some-initial-r-settings-packages-and-formatting" class="section level3">
<h3>Some initial R settings, packages and formatting</h3>
<pre class="r"><code>#___0.1___Clear workspace
rm(list=ls())

#___0.2___Tables
# \captionsetup[table]{labelformat=empty}

#___0.3___Load packages
# Packages loaded
pck_loaded &lt;- (.packages())

# Packages to load
pck_toload &lt;- c('ggplot2', 'mvtnorm', 'data.table', 'sqldf', 'stargazer', 'xtable')

# Load packages
for(i in 1:length(pck_toload)) {
   if (!pck_toload[i] %in% pck_loaded)
    print(pck_toload[i])
    library(pck_toload[i], character.only = TRUE)
}
remove(i)

#___0.4___ SOme common standards for charts using ggplot2

form_xlab1 &lt;- element_text(face = &quot;italic&quot;, color = &quot;blue&quot;)
form_title1 &lt;- element_text(face = &quot;bold&quot;,lineheight=.8)</code></pre>
</div>
<div id="part-1---loading-and-preprocessing-the-data" class="section level2">
<h2>Part 1 - Loading and preprocessing the data</h2>
<div id="load-the-data" class="section level3">
<h3>1.1 - Load the data</h3>
<p>The data is loaded into a data table using <strong>read.table</strong> and <strong>data.table</strong>.</p>
<p>The following chunk shows how it’s done.</p>
<pre class="r"><code>#___1.1___Load the data
setwd(&quot;C:/repos_github/coursera/repres/data&quot;)
dt_initial &lt;- data.table(read.table(&quot;activity.csv&quot;, sep = &quot;,&quot;, header = TRUE))
head(dt_initial,5)</code></pre>
<pre><code>##    steps       date interval
## 1:    NA 2012-10-01        0
## 2:    NA 2012-10-01        5
## 3:    NA 2012-10-01       10
## 4:    NA 2012-10-01       15
## 5:    NA 2012-10-01       20</code></pre>
<p>The table above displays the first five observations from the initial data set</p>
</div>
<div id="processtransform-the-data-into-a-format-suitable-for-the-analysis" class="section level3">
<h3>1.2 - Process/transform the data into a format suitable for the analysis</h3>
<p>Aside from removing missing values, no further processing of the data seems necessary at this point. All observations are of the same format in the different columns, and column names describe the contents well. All further data munging and imputing is done step wise in the assignment.</p>
<pre class="r"><code>#___1.2___Process/transform

# Remove all observations with missing data
# The prefix dt indicates that the variable is a datatable
dt_initialNaNo &lt;- dt_initial[complete.cases(dt_initial),]

# Rows with missing data removed
naRemoved &lt;- nrow(dt_initial) - nrow(dt_initialNaNo)</code></pre>
<p>Here’s a table showing the first five observations from the initial data set with all missing values removed.</p>
<pre class="r"><code>head(dt_initialNaNo,5)</code></pre>
<pre><code>##    steps       date interval
## 1:     0 2012-10-02        0
## 2:     0 2012-10-02        5
## 3:     0 2012-10-02       10
## 4:     0 2012-10-02       15
## 5:     0 2012-10-02       20</code></pre>
</div>
</div>
<div id="what-is-the-mean-total-number-of-steps-taken-per-day" class="section level2">
<h2>2 - What is the mean total number of steps taken per day?</h2>
<div id="calculate-the-total-number-of-steps-taken-per-day" class="section level3">
<h3>2.1 - Calculate the total number of steps taken per day</h3>
<p>For the total number of steps per day, and the corresponding histogram,it is convenient to transform the data into showing unique dates in the date column.This way, total steps for all time intervals are displayed for each day in the data table dt_dailysteps. There are several ways you can do this.The package data.table has several methods, but mostly I use an sql package for R called sqldf.</p>
<pre class="r"><code>#___2.1___Calculate the total number of steps taken per day

# Number of steps per day using data.table
dt_dailystepsDT &lt;- dt_initialNaNo[,.(steps.sum = sum(steps)),by=date]

# Number of steps per day using sqldf
dt_dailysteps &lt;- sqldf(&quot;SELECT sum(steps) as stepsum, date 
                          FROM dt_initialNaNo
                          Group by date&quot;)
dt_dailysteps &lt;- data.table(dt_dailysteps)

grandtotalsteps &lt;- sum(dt_dailysteps$stepsum)
grandtotalobs &lt;- nrow(dt_initialNaNo)

rows_dt_dailysteps &lt;- nrow(dt_dailysteps)
remove(dt_dailystepsDT)
head(dt_dailysteps, 5)</code></pre>
<pre><code>##    stepsum       date
## 1:     126 2012-10-02
## 2:   11352 2012-10-03
## 3:   12116 2012-10-04
## 4:   13294 2012-10-05
## 5:   15420 2012-10-06</code></pre>
<p>There’s a total of <strong>570608</strong> steps recorded accross <strong>15264</strong> observations in the original dataset after accounting for missing values. Ordering the sum of steps for all intervals per day results in a table with <strong>53</strong> records The previous table displays the first 5 rows with the total number of steps per day displayed in the column named stepsum. This table is the basis for the histogram that follows in Figure 1.</p>
</div>
<div id="make-a-histogram-of-the-total-number-of-steps-taken-each-day" class="section level3">
<h3>2.2 - Make a histogram of the total number of steps taken each day</h3>
<pre class="r"><code>#___2.2___Make a histogram of number of steps taken each day

h1 &lt;- ggplot(data=dt_dailysteps, aes(dt_dailysteps$stepsum)) 
h1 &lt;- h1 + geom_histogram(colour = &quot;blue&quot;, fill = &quot;grey&quot;)
h1 &lt;- h1 + theme_classic()
h1 &lt;- h1 + ggtitle(&quot;Figure 1 - Histogram of total steps per day&quot;) + xlab(&quot;steps&quot;)
h1 &lt;- h1 + theme(plot.title = form_title1 )
h1 &lt;- h1 + theme(axis.title = form_xlab1)
h1 &lt;- h1 + ylim(0, 14)


#plot(h1)
#setwd(&quot;C:/repos_github/coursera/repres&quot;)
#ggsave(filename = &quot;Histogram Number of Steps.pdf&quot;, plot = h1)
plot(h1)</code></pre>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABIAAAAMACAMAAABrYew+AAAAkFBMVEUAAAAAADoAAGYAAP8AOpAAOv8AZrYAZv86AAA6ADo6AGY6AP86OgA6OpA6ZmY6kNs6kP9mAABmADpmAGZmAP9mZv9mtv+QOgCQOjqQOv+QtpCQ2/+2ZgC2Zma2Zv+2tv+2/7a2/9u2//++vr7bkDrbkP/btrbb/7bb////tmb/tv//25D/2////7b//9v////d1mxoAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAdgElEQVR4nO3dDXsbx3WAUVp05CROK8tRmahS1ValW31Y5v//d8UnsSSXe0kOry5mcM6TWI7AGexod14DS5g5uwIoclZ9AMDpEiCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAnR0Ls92Xnz84x9nP3560iTvZwfu51v9+vJqZvL/+PikJ1s8jrPVU903+83fuW+1z39U2yN7kTIvjyJAR+c5ArTa948P0LfXz74lP6/X8eqe2W//zvxqE45qQ4COggAdnUmAnjjD1z+fPSBAdyRsycuzH97dO/vt35kPUFYoBOgoCNDRmWza/ZZcvaD54d1mx2y3zbfX65cVqy/89z9vvnj6RmdfsIe+Arrcf/H7ffQ2/Xq1HXF45utn2zy8ftbVUbxcv8S5WM9xfcxXkwk2U24fuTv7/neu55sG6O5RXa9xdTT/9Xqf58ubS73x2GHI4U/q1qKun3yf5M/r5fD9CNDRuROg1V/Xu+RvdwO03X2r/3XjBdPl2Yv/nn/vNhOgy+tXW/utvvud9RdOn3n/bJ+3D6+Ocfe8d16vHSaYCdCtB198PMw3CdCdo5qs8f3Z9YjJ121NH5sMuZHk7aK2jxye/HI7iddF35kAHZ3rt2AXuy35efPP8fdnMwHavT5a/d72t7YTzN5gXrvee2f7AK1fxWz+uf9qv/lWrwm2XXp1deOZL6+b9HLzRa82O/zV1fVroP3TTye48xZs+uDmdybzHQ767lFN1vh+n46XN75u9yTXj02HXE5fJU0WNXny1V8u9k/M9yNAR+dOgK6jczdA67cLu/RcTv/Z/eAArfbd5OXD9Vbf/TJ95svJm5PLs932Xz3J9q+bTTyd5mr/vu1dMPthvsNB3zmq6Rrfbw9k/fvTr9t98fVj0yHTY7+xqBtP/tI7sO9PgI7O7QAdbgTdvQe03t2b2xiH9zob0wBt3ops/9fdAO1+59XV1eEVyeZr15PfeOZ9S/Zz7F9/bP96CNB0gjsBuvHgdi2H+Q4HfeeopmvcdWt3gNdfd3iS7WPTIZPDuL7bsz+e3ZPv4/bEjz3wRAJ0dG7fA9q/LZgEaLvdd1/4+eyw066mA3d/fzNAt+8B7W/kXBxea1zfjb3xzLtn22zZ7SPzAZpOcCdANx48JGA73+Sgbx/VdI27yGymmHzd4Um2j02HTAM0XdTkyTfvwSbvY/k+BOjo3A7QzCugGwHa3r246eEBujp8J+lBr4C2T70QoEe+AprMd/N9442jmq5x8ipn+nW3H5sOufUK6HpRkyff/JlMv47vQoCOzp3vgt28E7N+8PP0Du/cjdP77wHdDtAf/1zPMYnb/feA9q+3Lg43oWcC9Mh7QJP5Jgd9+6ima5zc55l+3e3HpkNuhGWyqMmTb77ob96BfW8CdHTuBOjW96I2O3X6Lab3uzcjk83z4ABtvyu1/478er77vwu2fwW0vXN03yug+74Ldnf2y92nivbz3bgJfeuoJmucfKdr+nVXuz+KyXfBrofcCNBkUZMnv/nxJ74XATo6i58Dur61+urwhbsbIdN3Dw9/BXR5uH+0vmty+KTOy6vbnwM63ANaugl9NZ1gspa7s29+578P8939HNDhqCZr3H/W5/ABnxsfMbx+bDLk5lurwxdNFrNdmQ8BfW8CdHTmPwn94uPho7s//t/rGy8vNvvoRnAeHqBt0rYb7/3Z/lXK9W3dwzNPvwv2w7vL6zc5dwM0mWC68+/Ovvmdw3zTg75zVIc1vt9Wa/ulk6+7uv3YYcitezvrAl1c3wLfPvnV/qUR35UAdaPuW8TH9c3ppQ8rN32Q2YeACgjQ8Xu/ecO1+mf9d//nc90zL8gK0OrVkHdg350AHb/9J1q+/7eI6555QU6ANneMXj3xkHgyAerA9nZqxdugume+X16AXj3xiHi6pwZIuIBmAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUESCgjAABZQQIKCNAQBkBAsoIEFBGgIAyAgSUeUhIvv7149XVH/84e/HxceMAFj0gJN9er8vz/uX6P48ZB7AsDsnl2b+uXgF9+/Xd9pXQg8cBBOKQ/O+ndXi+7iK0GrGVf2jA6B56D+gQoIePA1gkQEAZAQLKPDRAbkIDz+7BnwPybXjguT04QN9e+yAi8Lz8qxhAGQECyggQUEaAgDICBJQRIKCMAAFlBAgoI0BAGQECyggQUEaAgDICBJQRIKCMAAFlBAgoI0BAGQECyggQUEaAgDICBJQRIKCMAAFlBAgoI0BAGQECyggQUEaAgDICBJQRIKCMAAFlBAgoI0BAGQECyggQUEaAgDICBJQRIGLny6oPj34JELHz/1kiQDyZABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASKJABETIJIIEDEBIokAERMgkggQMQEiiQAREyCSCBAxASLJnZC8/eXqzbsnjGNgAkSSuyF5c77yy+pvvpx/fMw4xiVAJJkLyeoV0G/rCv3p0+PGMSoBIol7QMQEiCRzIfn959XLn4W3X/eNY1QCRJLZt2B/+rS5EfTTI8cxKgEiyWyALra/uAnNlgCRZC4kH5Ze+iyMY1QCRJK5kPznh4snjWNUAkSS2bdgwbfg7xvHqASIJPeE5I3PAXEgQCRZCImb0OwIEEnmQvJvTxzHqASIJPfdA/rlCeMYlQCRZOke0FKEBOiUCBBJ7g/J28V/HUOATokAkWQhJG+XfiyQAJ0SASLJwk3o33wbni0BIsl9N6Ev/EAyrgkQSeZDsvmBHD6IyI4AkeT+kHxZ/FdSBeiUCBBJ/EREYgJEEgEiJkAkmQ3J5kfSL/9IDgE6JQJEktkfSLa++/z7z4s/kUOATokAkeSe/1uetcUfjChAp0SASLIQoN9/9jkgNgSIJAs/E1qA2BEgksyG5O3mM9BvvQVjS4BIMh+SL9H/LZgAnRQBIonPARETIJIsvAV7/DgGJUAkufdzQF/Ol34ckACdFAEiyf3/18y//7z0WWgBOiUCRJLZAG1/GPQXP46DLQEiyexbsO0tIJ8DYkeASHLPTej1uy//KgY7AkSShZ+I6HNA7AgQSXwOiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJFEgIgJEEkEiJgAkUSAiAkQSQSImACRRICICRBJBIiYAJHkwSH5+uezsx8/PX4cAxAgkjw4JJ9fPm0cAxAgkjw4JO9fPW0cAxAgkjw0JH/8891+xFbWAXGERgvQ+bLqwzslDw3Jt1//dvbDu8P/FqBTMlyABltPxx4akq9/eXf17e8fHz2OEYy2YUdbT8ceE5Jvvx5eAgnQKRltw462no4JELHRNuxo6+nYQ0Py+cXHq6//4nNAp2m0DTvaejr24JBcnp29ONwCEqCTMtqGHW09HfOvYhAbbcOOtp6OCRCx0TbsaOvpmAARG23DjraejgkQsdE27Gjr6ZgAERttw462no4JELHRNuxo6+mYABEbbcOOtp6OCRCx0TbsaOvpmAARG23DjraejgkQsdE27Gjr6ZgAERttw462no4JELHRNuxo6+mYABEbbcOOtp6OCRCx0TbsaOvpmAARG23DjraejgkQsdE27Gjr6ZgAERttw462no4JELHRNuxo6+mYABEbbcOOtp6OCRCx0TbsaOvpmAARG23DjraejgkQsdE27Gjr6ZgAERttw462no4JELHRNuxo6+mYABEbbcOOtp6OCRCx0TbsaOvpmAARG23DjraejgkQsdE27Gjr6ZgAERttw462no4JELHRNuxo6+mYABEbbcOOtp6OCRCx0TbsaOvpmAARG23DjraejgkQsdE27Gjr6ZgAERttw462no4JELHRNuxo6+mYABEbbcOOtp6OCRCxYMM2WH7ahrEt63n6xDyWABELNuzTHw0ClNWJtIl5LAEi1pAYAWKJABFrSIwAsUSAiDUkRoBYIkDEGhIjQCwRIGINiREglggQsYbECBBLBIhYQ2IEiCUCRKwhMQLEEgEi1pAYAWKJABFrSIwAsUSAiDUkRoBYIkDEGhIjQCwRIGINiREglggQsYbECBBLBIhYQ2IEiCUCRKwhMQLEEgEi1pAYAWKJABFrSIwAsUSAiDUkRoBYIkDEGhIjQCwRIGINiREglggQsYbECBBLBIhYQ2IEiCUCRKwhMQLEEgEi1pAYAWKJABFrSIwAsUSAiDUkRoBYIkDEGhIjQCwRIGINiREglggQsYbECBBLBIhYQ2IEiCUCRKwhMQLEEgEi1pAYAWKJABFrSIwAsUSAiDUkRoBYIkDEGhIjQCwRIGINiREglggQsYbECBBLBIhYQ2IEiCUCRKwhMQLEEgEi1pAYAWKJABFrSIwAsUSATsb5ssWhT09MEKBlyxM/eTkCdDwE6GQ07Lpg6NMfzZs464+C5yVAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFgiQCejYdc1lECAWCJAJ6Nh1zWUQIBYIkAno2HXNZRAgFhyJAE6X/S8z/UdLC8n2BxPHxsMffquayhBVYCy/ih4XscSoLEuiJYLvGFsMLRo4qShiRM/4YzzRAKUoeUCbxgbDC2aOGmoAA1BgDK0XOANY4OhRRMnDRWgIQhQhpYLvGFsMLRo4qShAjQEAcrQcoE3jA2GFk2cNFSAhiBAGVou8IaxwdCiiZOGCtAQBChDywXeMDYYWjRx0lABGoIAZWi5wBvGBkOLJk4aKkBDEKAMLRd4w9hgaNHESUMFaAgClKHlAm8YGwwtmjhpqAANQYAytFzgDWODoUUTJw0VoCEIUIaWC7xhbDC0aOKkoQI0BAHK0HKBN4wNhhZNnDRUgIYgQBlaLvCGscHQoomThgrQEAQoQ8sF3jA2GFo0cdJQARqCAGVoucAbxgZDiyZOGipAQxCgDC0XeMPYYGjRxElDBWgIApSh5QJvGBsMLZo4aagADUGAMrRc4A1jg6FFEycNFaAhCFCGlgu8YWwwtGjipKECNAQBytBygTeMDYYWTZw0VICGIEAZWi7whrHB0KKJk4YK0BAEKEPLBd4wNhhaNHHSUAEaggBlaLnAG8YGQ4smThoqQEMQoAwtF3jD2GBo0cRJQwVoCAKUoeUCbxgbDC2aOGmoAA1BgDK0XOANY4OhRRMnDRWgIQhQhpYLvGFsMLRo4qShAjQEAcrQcoE3jA2GFk2cNFSAhiBAGVou8IaxwdCiiZOGCtAQBChDywXeMDYYWjRx0lABGoIAZWi5wBvGBkOLJk4aKkBDEKAMLRd4w9hgaNHESUMFaAgClKHlAm8YGwwtmjhpqAANQYAytFzgDWODoUUTJw0VoCEIUIaWC7xhbDC0aOKkoQI0BAHK0HKBN4wNhhZNnDRUgIYgQBlaLvCGscHQoomThgrQEAQoQ8sF3jA2GFo0cdJQARqCAGVoucAbxgZDiyZOGipAQxCgDC0XeMPYYGjRxElDBWgIApSh5QJvGBsMLZo4aagADUGAMrRc4A1jg6FFEycNFaAhjB6g8wYNEzdc4MHYhqctmjhp6FEGqOWKatDwrEVHfG34AGVdhzUT97id+5s46XLLe2m1/EdxjEd8TYAyTlzaxD1u5/4mTrrcBGiGAGWcuLSJe9zO/U2cdLkJ0AwByjhxaRP3uJ37mzjpchOgGQKUceLSJu5xO/c3cdLlJkAzBCjjxKVN3ON27m/ipMtNgGYIUMaJS5u4x+3c38RJl5sAzRCgjBOXNnGP27m/iZMuNwGaIUAZJy5t4h63c38TJ11uAjRDgDJOXNrEPW7n/iZOutwEaIYAZZy4tIl73M79TZx0uQnQDAHKOHFpE/e4nfubOOlyE6AZApRx4tIm7nE79zdx0uUmQDMEKOPEpU3c43bub+Kky02AZghQxolLm7jH7dzfxEmXmwDNEKCME5c2cY/bub+Jky43AZohQBknLm3iHrdzfxMnXW4CNEOAMk5c2sQ9buf+Jk663ARohgBlnLi0iXvczv1NnHS5CdAMAco4cWkT97id+5s46XIToBkClHHi0ibucTv3N3HS5SZAMwQo48SlTdzjdu5v4qTLTYBmCFDGiUubuMft3N/ESZebAM0QoIwTlzZxj9u5v4mTLjcBmiFAGScubeIet3N/EyddbgI0Q4AyTlzaxD1u5/4mTrrcBGiGAGWcuLSJe9zO/U2cdLkJ0AwByjhxaRP3uJ37mzjpchOgGQKUceLSJu5xO/c3cdLlJkAzBCjjxKVN3ON27m/ipMtNgGYIUMaJS5u4x+3c38RJl5sAzRCgjBOXNnGP27m/iZMuNwGaIUAZJy5t4h63c38TJ11uAjRDgDJOXNrEPW7n/iZOutwEaIYAZZy4tIl73M79TZx0uQnQDAHKOHFpE/e4nfubOOlyE6AZApRx4tIm7nE79zdx0uUmQDMEKOPEpU3c43bub+Kky02AZghQxolLm7jH7dzfxEmXmwDNeHBI/vjH2YuPTxj3MA1/gi0TN/zh10zc43bub+Kky02AZjw4JO9frv/z+HEP0/An2DJxwx9+zcQ9buf+Jk663ARoxkND8u3Xd1df/3p4CSRAJRP3uJ37mzjpchOgGQ8NyTo+6witRmw99onOgaE8tgFzHh+gx40DuJcAAWUECChzJDehgVN0JN+GB07Rg0Py7XXmBxGBU3Qk/yoGcIoECCgjQEAZAQLKCBBQRoCAMgIElBEgoIwAAWUECCgjQEAZAQLKCBBQRoCAMgIElBEgoIwAAWUECCgjQEAZAQLKCBBQRoCAMgIElBEgoMyTAwTwGM8ZoGd2JIfxjMZb0YBLsqJyR3LAR3IYz2i8FQ24JCsqdyQHfCSH8YzGW9GAS7KickdywEdyGM9ovBUNuCQrKnckB3wkh/GMxlvRgEuyonLdHTAwDgECyggQUEaAgDICBJQ5hgD98Y+zFx+rD+IZfP3z2dmPn/bLuflLl77+9c46Ol/VZkUDnaf1Ui66PkfHEKD3L9f/6d/n7SJ2y7n5S4++vV5fwLPL6XRV2xWNc56+vb64+vzDu57P0REE6Nuv77b/ZOrd+1frv+6Wc/OX4iN7ksuzf10d+OxyOl3VdkUDnafPmxdyFz2foyMI0NfdZd67P/65WcNuOTd/qT62p/jfT+uDn11Op6varmiw87R6FdTzORKgZ/Pt17+d/fBumAv7antmer6479oe+FDn6fLHTz2fIwF6Nl//8u7q298/dnkZzBszQGOdp8sXfZ8jAXpWvV4G88YM0NowK7pcvZbr+hwdQYA6uVv2IKu1dHkrcN7+Gu71BuddkwANsaLLzTfaez5HRxCgTr5fGPq8fjH8L5+6/GbovM312/G3eO9ar2ig87R+N7nW8Tk6hgB9e93DJ6Zil2ebdeyWc/OXLm0CNLucXle1WdE45+n95kctX/R8jo4hQMCJEiCgjAABZQQIKCNAQBkBAsoIEM/kw9F/6pbjI0A8j9/+9Kn6EOiPAPE8PvxUfQR0SIBo9Ob8fPXiZ/vXD+fn5+t3Ym9/Wf3dL4dHYZ4A0ebNqjNvf7r6/edVeN6ef7z6bV2gN+cXV19W/90/CvMEiCab8Hw5//hl357Vq5/Vb/6y/5vto9VHybESINq82VRncw96+1Lnw0+75KzvCu0ehXkCRKM3m9s+H9bvws43ftrdkH77y/WjME+AaLZ+mfNm935rY/NS6PefL64fhXkCRIsvm7q8+WVTmzfr4vy2evv15qft3+wfrT1GjpgA0eL3n3/aVGiTmg9/+rTKzsXqN//t3eabYPtHq4+SoyVANNnc+Nl84331Omf9MaCPm297vd3e+tk/CvMEiGf3wUcPeSAB4tm9ddOHBxIgnt2bi+ojoBcCBJQRIKCMAAFlBAgoI0BAGQECyggQUEaAgDICBJQRIKCMAAFl/h/O/QLesMz71AAAAABJRU5ErkJggg==" /></p>
</div>
<div id="calculate-and-report-the-mean-and-median-of-the-total-number-of-steps-taken-per-day" class="section level3">
<h3>2.3 - Calculate and report the mean and median of the total number of steps taken per day</h3>
<pre class="r"><code>#___2.3___Calculate and report the mean and median 

nsteps_NaNo &lt;- sum(dt_dailysteps$steps)
avgsteps_NaNo &lt;- mean(dt_dailysteps$stepsum)
medsteps_NaNo &lt;- median(dt_dailysteps$stepsum)
# h1 &lt;- h1 + geom_vline(xintercept = avgsteps, labels = &quot;mean&quot;, show_guide = TRUE, color = &quot;green&quot;)
# h1 &lt;- h1 + geom_vline(xintercept = medsteps, labels = &quot;mean&quot;, show_guide = TRUE, color = &quot;red&quot;)
# h1

#Data table of the results
Method &lt;- c(&quot;NA removed&quot;, &quot;NA Imputed&quot;)
Steptotal &lt;- c(format(round(nsteps_NaNo, 0), nsmall = 0),&quot;&quot;)
Averages &lt;- c(format(round(avgsteps_NaNo, 2), nsmall = 2),&quot;&quot;)
Medians &lt;-  c(format(round(medsteps_NaNo, 0), nsmall = 0),&quot;&quot;)
tb1_methods &lt;- data.table(Method, Steptotal, Averages, Medians)</code></pre>
<p>When accumulating all intervals per day, which is what the assignment asks for, the mean and median number of steps are <strong>10766.19</strong> and <strong>10765</strong>, respectively. These findings are displayed in the table below, which will be filled with more findings along the way. So far we’ve calculated the mean and median after ignoring missing values. Later, we’ll calculate the same values using other methods for handling missing values.</p>
<pre class="r"><code>tb1 &lt;- data.table(Method, Averages, Medians)
tb1_methods</code></pre>
<pre><code>##        Method Steptotal Averages Medians
## 1: NA removed    570608 10766.19   10765
## 2: NA Imputed</code></pre>
</div>
</div>
<div id="what-is-the-average-daily-pattern" class="section level2">
<h2>3 - What is the average daily pattern?</h2>
<div id="make-a-time-series-plot-of-the-5-minute-intervals-averaged-accross-all-days." class="section level3">
<h3>3.1 - Make a time series plot of the 5 minute intervals averaged accross all days.</h3>
<p>Again, it is convenient to transform the original data. Here, the data is stored as an average for each interval accross all observed days in the data table dt_dailypattern.</p>
<pre class="r"><code>#___3.1___Make a time series plot 


# Data transformation
dt_dailypattern &lt;- (sqldf(&quot;SELECT interval, avg(steps) as steps 
                            FROM dt_initialNaNo
                            Group by interval&quot;))
dt_dailypattern &lt;- data.table(dt_dailypattern)

# Using the time intervals on a continuos x-axis results in an uneven
# time series due to the jumps between, for example, 955 and 1000.

idx1 &lt;- 1:nrow(dt_dailypattern)
dt_dailypattern &lt;- data.table(dt_dailypattern)
numberofintervals &lt;- nrow(dt_dailypattern)

# The plot, step 1
p1 &lt;- ggplot(dt_dailypattern, aes((interval), steps))
p1 &lt;- p1 + geom_line(colour = &quot;blue&quot;) + theme_classic() + 
      ggtitle(&quot;Daily pattern by 5 minute interval&quot;) + xlab(&quot;interval&quot;)
p1 &lt;- p1 + theme(plot.title = form_title1 )

# Find interval with max steps
maxsteps = max(dt_dailypattern$steps)

# Look up the corresponding interval for the max number of steps
maxint &lt;- sqldf(&quot;SELECT interval, max(steps)
                  FROM dt_dailypattern&quot;)

dailymax &lt;- maxint[1,2]

# The plot step 2 - Add a point in the plot indicating the interval 
#                   with max number of steps and plot it.
p1 &lt;- p1 + geom_point(data = subset(dt_dailypattern, interval == maxint$interval[1]),
                      colour = &quot;red&quot;)
p1 &lt;- p1 + geom_text(data = subset(dt_dailypattern, interval == maxint$interval[1]),
                      aes(x = interval,y = steps, hjust = -0.01
                          , label = paste(&quot;max = &quot;,dailymax, &quot; steps for interval&quot;,
                                          maxint[1,1])))
# Plot the plot
p1 &lt;- p1 + theme(plot.title = element_text(lineheight=.8, face=&quot;bold&quot;))
p1 &lt;- p1 + ggtitle(&quot;Figure 2 - Daily steps for each interval&quot;) + xlab(&quot;steps&quot;)
p1 &lt;- p1 + theme(axis.title = form_xlab1)
p1 &lt;- p1 + ylim(0, 260)
# plot(p1)</code></pre>
<p>The table below shows the results for the data munging in this part of the assignment. Here, we have taken the average for each interval accross all observed days with no missing values. There’s a total of 288 intervals. The first and last 5 intervals are shown in the table.</p>
<pre class="r"><code>dt_dailypattern</code></pre>
<pre><code>##      interval steps
##   1:        0     1
##   2:        5     0
##   3:       10     0
##   4:       15     0
##   5:       20     0
##  ---               
## 284:     2335     4
## 285:     2340     3
## 286:     2345     0
## 287:     2350     0
## 288:     2355     1</code></pre>
<p>The following figure shows a plot from the previous table.</p>
<pre class="r"><code>plot(p1)</code></pre>
<p><img src="data:image/png;base64,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" /></p>
</div>
<div id="which-5-minute-interval-on-average-across-all-the-days-in-the-dataset-contains-the-maximum-number-of-steps" class="section level3">
<h3>3.2 Which 5-minute interval, on average across all the days in the dataset, contains the maximum number of steps?</h3>
<pre class="r"><code>#___3.2___5 minute interval that contains the maximum number of steps?

# Find interval with max steps
maxsteps = max(dt_dailypattern$steps)

# Look up the corresponding interval for the max number of steps
maxint &lt;- sqldf(&quot;SELECT interval, max(steps)
                  FROM dt_dailypattern&quot;)</code></pre>
<p>The 5-minute interval which contains the maximum average steps per day, is <strong>835</strong>. The average number of steps taken per day during this interval is <strong>206</strong>.</p>
</div>
</div>
<div id="imputing-missing-values" class="section level2">
<h2>4 - Imputing Missing values</h2>
<div id="calculate-and-report-the-total-number-of-missing-values" class="section level3">
<h3>4.1 - Calculate and report the total number of missing values</h3>
<pre class="r"><code>#___4.1___Calculate and report the total number of missing values in the dataset 

# First check for missing values in each column
missingColumnwise &lt;- sapply(dt_initial, function(x) sum(is.na(x)))

# Total number of missing values
missingTotal &lt;- sum(sapply(dt_initial, function(x) sum(is.na(x))))</code></pre>
<p>Checking for missing values in each column using is.na() and sapply reveals that there are <strong>no missing observations</strong> for <strong>date</strong> and <strong>interval</strong>, but <strong>2304</strong> missing observations in the <strong>steps</strong> column. Of course, the total number of missing values in the dataset is <strong>2304</strong>.</p>
</div>
<div id="devise-a-strategy-for-filling-in-all-of-the-missing-values-in-the-dataset" class="section level3">
<h3>4.2 - Devise a strategy for filling in all of the missing values in the dataset</h3>
<pre class="r"><code>#___4.2___ Devise a strategy for filling in all of the missing values in the dataset

# Make a data table in which missing values will be raplaced.
dt_imputed &lt;- dt_initial</code></pre>
<p>It would be pretty straight forward to replace all missing values with the average or median step for each day. It’s a bit more challenging to do the same for each and every interval, so this is what I’m going to do. There are surely many ways to do this, perhaps most efficiently in dplyr. I’m going to brute force the whole process using a nested For Loop. The following code loops through the table <strong>dt_imputed</strong>. For each missing value, the code loops through the table <strong>avgsteps</strong>, finds the corresponding step count, and writes it to the table <strong>dt_imputed</strong>.</p>
</div>
<div id="create-a-new-dataset-that-is-equal-to-the-original-dataset-but-with-the-missing-data-filled-in." class="section level3">
<h3>4.3 - Create a new dataset that is equal to the original dataset but with the missing data filled in.</h3>
<pre class="r"><code>#___4.3___Create a new dataset that is equal to the original dataset 

# Make a data table that contains daily averages for all intervals
dt_avgsteps &lt;- (sqldf(&quot;SELECT interval, avg(steps) as steps 
                        FROM dt_initialNaNo
                        Group by interval&quot;))
dt_avgsteps &lt;- data.table(dt_avgsteps)

# Brute Force For Loop, replacing NAs in dt_imputed with an average step count.
i &lt;- 1
j &lt;- 1
nmiss &lt;- 0
fakesteps &lt;- 0
for(i in 1:length(dt_initial$steps)) {
  #print(dt_avgsteps$steps[i])
  if (is.na(dt_initial$steps[i])) {
        #print(paste(i, &quot;missing&quot;, sep = &quot; - &quot;))
        nmiss &lt;- nmiss + 1
        for(j in 1:length(dt_avgsteps$steps)) {
          #print(paste(nmiss,j, &quot;missing&quot;, sep = &quot; - &quot;))
          
          if (dt_initial$interval[i] == dt_avgsteps$interval[j]) {
              # print(paste(i,j, &quot;missing&quot;, sep = &quot; - &quot;))
              dt_imputed$steps[i] &lt;- dt_avgsteps$steps[j]
              fakesteps &lt;- fakesteps + dt_avgsteps$steps[j]
              break
          }
        }
  }
}
#i
# nmiss
# themissing &lt;- nrow(subset(dx1, is.na(dt_nonmissing$steps)))
# themissing
# fakesteps
# missmix &lt;- data.table(dt_missing, dt_nonmissing$steps)

# Look at the data
# head(dt_imputed)

setwd(&quot;C:/repos_github/coursera/repres/data&quot;)
write.table(dt_imputed, &quot;imputedData.csv&quot;, row.names = FALSE)
#remove(nonmissing)
#nonmissing &lt;- data.table(read.table(&quot;imputedData.csv&quot;, sep = &quot; &quot;, header = TRUE))</code></pre>
<p>The following table displays the first and last five observations of the imputed data set.</p>
<pre class="r"><code>dt_imputed</code></pre>
<pre><code>##        steps       date interval
##     1:     1 2012-10-01        0
##     2:     0 2012-10-01        5
##     3:     0 2012-10-01       10
##     4:     0 2012-10-01       15
##     5:     0 2012-10-01       20
##    ---                          
## 17564:     4 2012-11-30     2335
## 17565:     3 2012-11-30     2340
## 17566:     0 2012-11-30     2345
## 17567:     0 2012-11-30     2350
## 17568:     1 2012-11-30     2355</code></pre>
</div>
<div id="make-a-histogram-of-steps-taken-each-day-and-find-the-mean-and-median." class="section level3">
<h3>4.4 - Make a histogram of steps taken each day and find the mean and median.</h3>
<pre class="r"><code>#___4.4___Make a histogram of the total number of steps taken each day, and report mean and median.


# Order sum of steps per day for all intervals
dt_dailysteps2 &lt;- (sqldf(&quot;SELECT sum(steps) as stepsum, date 
                          FROM dt_imputed
                          Group by date&quot;))
dt_dailysteps2 &lt;- data.table(dt_dailysteps2)

# Look at the data
# head(dt_dailysteps)
# head(dt_dailysteps2)

# Number of steps per day, calculations
nstepsNaNo &lt;- sum(dt_dailysteps$steps)
avgstepsNaNo &lt;- mean(dt_dailysteps$steps)
medstepsNaNo &lt;- median(dt_dailysteps$steps)

# Update tb1 where averages and meand 

# Histogram of number of steps per day
h2 &lt;- ggplot(data=dt_dailysteps2, aes(dt_dailysteps2$steps))
h2 &lt;- h2 + geom_histogram(colour = &quot;blue&quot;, fill = &quot;grey&quot;)
h2 &lt;- h2 + theme_classic()
h2 &lt;- h2 + ggtitle(&quot; Figure 3 - Total number of steps per day&quot;) + xlab(&quot;steps&quot;)
h2 &lt;- h2 + theme(axis.title = form_xlab1)
h2 &lt;- h2 + ylim(0, 14)
#plot(h2)
#setwd(&quot;C:/repos_github/coursera/repres&quot;)
#ggsave(filename = &quot;Histogram Number of Steps no missing values.pdf&quot;, plot = h1)

# Calculate mean and median
nsteps_NaImp &lt;- sum(dt_dailysteps2$stepsum)
avgsteps_NaImp &lt;- mean(dt_dailysteps2$stepsum)
medsteps_NaImp &lt;- median(dt_dailysteps2$stepsum)

#Data table of the results
Method &lt;- c(&quot;NA removed&quot;, &quot;NA Imputed&quot;)
Steptotal &lt;- c(format(round(nstepsNaNo, 0), nsmall = 0),nsteps_NaImp)
Averages &lt;- c(format(round(avgstepsNaNo, 2), nsmall = 2),format(round(avgsteps_NaImp, 2), nsmall = 2))
Medians &lt;-  c(format(round(medstepsNaNo, 0), nsmall = 0),medsteps_NaImp)
tb1_methods &lt;- data.table(Method, Steptotal, Averages, Medians)

impdiff_avg &lt;- format(round(avgsteps_NaImp - avgstepsNaNo, 0), nsmall = 0)
impdiff_med &lt;- format(round(medsteps_NaImp - medstepsNaNo, 0), nsmall = 0)
tb1_methods</code></pre>
<pre><code>##        Method Steptotal Averages Medians
## 1: NA removed    570608 10766.19   10765
## 2: NA Imputed    655736 10749.77   10641</code></pre>
<p>The sum of steps added to the original data after the imputing process is <strong>85128</strong>. This appears as the difference between the Steptotal column for NA removed and NA Imputed in the table above. We can also see that the average and median number of steps decreases respectively -16 and -124</p>
<p>Below is a histogram showing the distribution of steps after missing values have been imputed.</p>
<pre class="r"><code>plot(h2)</code></pre>
<p><img src="data:image/png;base64,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" /></p>
<p>Comparing the histogram in figure 3 with the histogram in figure 1 shows that the imputed data set leads to an increased number of observations at the center of the distribution. Let us take a quick look at why this happens by taking the difference between each observation in the imputed data set and another table where all missing values are replaced by zero.</p>
</div>
<div id="imputing-missing-values-a-closer-look-at-the-implications." class="section level3">
<h3>4.4.2 - Imputing Missing values, a closer look at the implications.</h3>
<pre class="r"><code># Make a table of the origninal dataset where all missing values for steps are replaced by 0.
dt_initialNa0 &lt;- dt_initial
dt_initialNa0[is.na(dt_initialNa0)] &lt;- 0
  
dt_diff &lt;- (dt_imputed - dt_initialNa0)
dt_diff$date &lt;- dt_initial$date
dt_diff$interval &lt;- dt_initial$interval
# sum(dt_diff$steps)

dt_diffdays &lt;- data.table(sqldf(&quot;SELECT sum(steps) as stepsum, date 
                                  FROM dt_diff
                                  Group by date&quot;))
# sum(dt_diffdays$stepsum)

dt_diffdays &lt;- (sqldf(&quot;SELECT sum(steps) as stepsum, date 
                        FROM dt_diff
                        Group by date&quot;))

dt_diffdays &lt;- data.table(dt_diffdays)
# sum(dt_diffdays$stepsum)


# Make datatable of dt_diffdays with all zeros removed
# In other words, alld days with no effects from the imputing process are disregarded.
dt_diffdaysNo0 &lt;- sqldf(&quot;SELECT stepsum, date 
                      FROM dt_diffdays
                      Where stepsum &lt;&gt; 0
                      Group by date&quot;)
dt_diffdaysNo0 &lt;- data.table(dt_diffdaysNo0)

# UNION (dt_dailysteps + category = nonimputed) and (dt_dailysteps3 + category = imputed)
FactImpNot &lt;- 1:nrow(dt_dailysteps)
FactImp &lt;- 1:nrow(dt_dailysteps2)

FactImp &lt;- rep(&quot;NaImputed&quot;,length(FactImp))
FactImpNot &lt;- rep(&quot;NaIgnored&quot;,length(FactImpNot))

NaTreatment &lt;- FactImpNot
dt_dailyStepsCat &lt;- data.table(dt_dailysteps, NaTreatment)

NaTreatment &lt;- FactImp
dt_dailySteps2Cat &lt;- data.table(dt_dailysteps2, NaTreatment)

dt_dailyUnion &lt;- (sqldf(&quot;SELECT * from dt_dailyStepsCat 
                            UNION ALL
                              SELECT * from dt_dailySteps2Cat
                            ORDER BY date&quot;))
dt_dailyUnion &lt;- data.table(dt_dailyUnion)

# sum(dt_dailyStepsCat$stepsum)
# sum(dt_dailySteps2Cat$stepsum)

# Histogram of number of steps per day
h3 &lt;- ggplot(data=dt_dailyUnion, aes(dt_dailyUnion$steps, fill = NaTreatment))


h3 &lt;- h3 + geom_histogram(alpha = 0.3, colour = &quot;blue&quot;, position=&quot;identity&quot;)
h3 &lt;- h3 + scale_fill_manual(values = c(&quot;black&quot;, &quot;grey&quot;))
h3 &lt;- h3 + theme_classic()
h3 &lt;- h3 + ggtitle(&quot;Figure 3 - Total number of steps per day&quot;) + xlab(&quot;steps&quot;)
h3 &lt;- h3 + theme(axis.title = form_xlab1)
h3 &lt;- h3 + ylim(0, 14)
h3 &lt;- h3 +  theme(plot.title = element_text(lineheight=.8, face=&quot;bold&quot;))
h3 &lt;- h3 + ggtitle(expression(atop(bold(&quot;Figure 3 - Total number of steps per day&quot;), atop(italic(&quot;Distinguished by method for missing values&quot;), &quot;&quot;))))

#plot(h3)
#setwd(&quot;C:/repos_github/coursera/repres&quot;)
#ggsave(filename = &quot;Histogram Number of Steps no missing values.pdf&quot;, plot = h1)


dt_diffdaysNo0</code></pre>
<pre><code>##    stepsum       date
## 1:   10641 2012-10-01
## 2:   10641 2012-10-08
## 3:   10641 2012-11-01
## 4:   10641 2012-11-04
## 5:   10641 2012-11-09
## 6:   10641 2012-11-10
## 7:   10641 2012-11-14
## 8:   10641 2012-11-30</code></pre>
<p>The previous table shows the sum of the steps that have been added to the data set due to missing values.The fact that the sum of <strong>10641</strong> is equal for all days reveals an interesting detail. It turns out that all dates with missing values, have missing values for all intervals, and that there is no missing interval for all dates contained in the data set. This means that it would not matter much if the imputing process replaced missing values for each and every interval, or for each date only.</p>
<p>It also means that it’s not possible to add any particular value to the analysis by replacing missing values in this example. It would have made much more sense if the original dataset was missing observations for <strong>some intervals</strong> for some days. In this case, it would be possible to add to the value of the analysis, particularly if the same intervals were not missing accross very many days.</p>
<p>This can be further illustrated by combining the two previous histograms in Figure 1 and Figure 2 into a new histogram in Figure 4. Notice that the number of days in the previous table is 8, and that the sum of steps for each day is 10641. The histogram in Figure 3 shows a light grey area that illustrate an increase ofeight counts in the bin where 10641 is located. The only thing you get by adding more days with the average number of steps only, is an increased stepcount around the center of the distribution of steps. The value added to the analysis by including more dates with no initially no observations, I would say is pretty close to zero.</p>
<pre class="r"><code>plot(h3)</code></pre>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABIAAAAMACAMAAABrYew+AAAA51BMVEUAAAAAADoAAGYAAP8AOjoAOpAAOv8AZmYAZpAAZrYAZv85Oes6AAA6ADo6AGY6AP86OgA6OmY6OpA6ZmY6ZrY6kJA6kLY6kNs6kP9mAABmADpmAGZmAP9mOgBmOjpmOpBmZmZmZrZmZv9mkJBmtrZmtttmtv+QOgCQOjqQOmaQOv+QZgCQkDqQkGaQtpCQ2/+ysrK2ZgC2Zjq2Zma2Zv+2kDq2tra2tv+225C2/7a2/9u2///bkDrbkP/btmbbtrbb25Db29vb/7bb/9vb///r6+v/tmb/tv//25D/2////7b//9v////SBJ+6AAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nO3dC3/jVnrYYY6Y2azcsb3ddSqPd9qk2VTjTLarKHUvieTm0oksS/z+n6e4kiBEUiAs6T1H53l+tjXiIYAjcvg3AFLkYgUQZBE9AaBcAgSEESAgjAABYQQICCNAQBgBAsIIEBBGgIAwAgSEESAgjAABYQQICCNAQBgBAsIIEBBGgIAwAgSEESAgjAABYQQICCNAQBgBAsIIEBBGgJ7L9aJzcnX/cfH28/FrqBZbLM52jVwu1k5HQ//jarSKo7d8Wc34yAUeTuPBTJ7K0bMjaQL0XH5xgO7e7yxMbW+A7t6fvHiAbha7OjmeyVMRoNdFgJ7LIECzV3De/ueBvQEaPzxfIkDXizcXv3wtUwnQ6yJAz2XwuOwzUHXjzUXzCGofRtU+zllzxT+9a668dSzTLnT7bleAuvH+utWV2n2Qyy54zQX1GgcBum623U5qsPnqP6f1PkzTun7wH6udr2659Zw209yxzf7iprr1kv1MNst3q23zsb7eavVgbO8mNzff+gfsb4SbnZ0mfQL0XB4EqDmls3jzm4cBah+N3SHX9v/gL3fuXnQrPe231K2hf9jftBe0D9BNgNaXjgI00Cej//NgTv00d26zm+T1esluJoPl+9XWV91cr/8pN2P7NtnefO3I5ge8bldivyhXAvRc1odg510Gbpr/r18udgSo2z+qLmsv6t0s9vZnE6Bqb6Ba/rrZH2nW0Y5UF5+NAlSNDa62CdDZar0P1AwOZ7ue0/Vwl2W4zU1p672pZtLrTQyWv+zTcbp1vcZgbO8mBzff4Ads9xDbFZIhAXouDwK0ftQ/DFB9+NCl53r4//LrByd5NtYBuhzsBGz2BNpFtwN03jxqT8cBqq7R/rd5SPc7XZftDsx6Tltno4bb3ASoWn6wU7PJ6XW3T3TeXT68Xnfl9dgjm2xvvq0f8NQRWMYE6LmMA7Q5EfTwHFD9AG5OawzPpzTaJtSaQ5PBGeU+QP16m9W06+2PVk7H54D6fYXROaD+4j5AzUO8vv5wTsNzzVvb3Ax0220mfLk+F9UtP1jt8Hqr9ZUf3eTp+qqbH7CP25yXOZAAAXou43NA/WHCIEDtA7674s1i88gbWO/T7AtQv95mL2Dz8DxvLj8YoGbzuwK0jstwTsMabG1zMNCfUDrvNjFcvvtBmkUG1xv+kPXYY5u8bA/B+h+wOQbbPm4lJwL0XMYB2rEHtBWgPc93PRqgh3tA7Wp/QYCGuyPrOU3YA2qvtlisDziHyw9WO7zeeOyxTXaHcP0P2NwMu18IQA4E6Lk8eBZseBKjHbwZnsQdn0jtDr72Hl3sPwd005/tOdsXoMHmdwVoeEJmPaetR/nuc0Cr++8vtmYyXH6w2uH1xmOPbLK5+QY/YHOl3zgCy5YAPZcHARo+C9Y8f1QfSQyeRbrsDk42TztXl9/s+WWMPc+CNetqLqhXvncPaLD5nQEaPCW1ntNWDXY/C9Ze2m7zun9lU7/8YLXD6626H/3RTQ5uvsEPOHhBEjkSoOdy8HVA61Otgwdwd2Jk+6V+i73/c3/wOqD6u/oMysk/9a+Y2RugweZ3BqgxeB1Q+9qdB0da7TYHA9ebs1jNTK4Gyw9XO7heY9ImN1e63/yA7ZlvLwLKlgA9l92vhD652ryU9+2/vd/ag2geV4PeNA/Fvf9vH78Suj1z0rxauF7Rm4vr7d9CGwZosPmd54A2r4TezGl0omWzzeFAc2mbg8v+lZCblznVZWxXO7jeajy2d5N1gc7Xp9nbH3DV7xqRJwF6aaU+ZXzoxcq/6IXMXgSUMwF6MZfN7kz7SsACPVeAqr0hR2D5EqAX07/CpdCnjJ8nQIcPU0meAL2c9vRqmQdgzxkg/cmYAAFhBAgII0BAGAECwggQEEaAgDACBIQRICCMAAFhBAgII0BAGAFK0WX/ju2X6zeauPuvw+9GV+8vb9/qdMv12fDLQdUm9q/g9t2hX6J9MLN9U13bsSUKJEAJuv/YvOf61mP4csqvXN79fvw7nfcfuzcqm/CWOdUmDqzgiX/l8+GWKJEAJahtz/XwfYP6Dhx2+9vxr9rffdfsaNz/7eMP93oT+1cwaftHeLglSiRACbr9qnmr0befb04Hb7J6Xn13c3rdfeTxmz99s6qHmwv7N0C9Ob3s33+5rlf15Q/NqlZ3f/l3zfvQ18c97c5QfdX6fVC7j21v3j663sR6BfXbhqxXUL+F6nn/oc2nl+0HmW3WsJnBeiKjqa66fZ7L8/4d6E/76Q9mW+hbJZVMgBJ007xnULWPcH3W/Pnm5KpuUvXddVWR6stl/fnqzZ+aC9fXuq4/J7Aarj8zovly9759+6Gb5pMmzuvHf7frUV+1DkldhPbqzSbWK6i3MVhBvVR36XX3DqiDNWxm0E9kPNVVe9an/pnq5Jx28x7Mtlsy5hYnigAl6LL92NG3ny/rbLTvvH7a7j3Ubxp/3uwhXTY56b5012ouOLv9sv5UitPmS7uq9kzyZVuEzTmdy/pTo8+7q/ebqFdQr//m7b8MVlANdpd+7s8GbdYwmMFmIttTXa36qf5ru+h6+v3muyUpiwClpzkHXT9K22eKbt/Vn/PXHD/Vp3KqL80e0j9c1Kdn6gvX16r/VA+3H1nTXKurxT80HwRY7Wacdid/u6vWx0Xd1btNrNd/8/b/DlZQxaK79N+6s8eDNQzmuZ7I9lS7dTT7Uc0zfNVwN/2b9QfsdCugJAKUnvYcdLXvUNehicB5vZtRfVc/gOsLT1f9d9W/m2sNhlftTlP3VFpzJrn+z+1v/2cblLu/bJat/+2u3p+D7ldweTZYQZ2Y7tL+7PFgDZsZdF8eTLVZ4vqsy1g1k2p4e/Pdki92I5MGAUpPc9hSP/Jvv6n2CpqTN0082rPO9UO3Omq5fPv5pj5Fczq41mD45s1Fc632tO7tu/qDUOsW/Jf2pPT6BHB9aNVevd7E3hXUDeku7YKxtYb1DPov46m2S/zZN21oLk/qMPXT7zbWLhlxexNIgNJzs/5k0LP2m/rjA99cbE7b1p8s+lfN81YnfzwbXKsfvll//mj3JNjNWfuZQP3R3WqzpvXVu03sXkGz29Neev1wDZsZbCayPdVGc7anfrLtd1/VZ6m76fcbu/HxFiUSoEzNO1qZ8nqgJ+fAir0EKEM7X7I8yZTfyHhS86dKEQQoQ+3LAo/Xv6jnBc2dKoUQICCMAAFhBAgII0BAGAECwggQEEaAgDACBIQRICCMAAFhBAgII0BAGAECwggQEEaAgDACBIQRICCMAAFhBAgII0BAmLkBEi7gFxMgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBCr5X7RU+OVEyBWy3/fR4B4XgKEABFGgBAgwggQAkQYAUKACCNACBBhBAgBIowAIUCEESAEiDAChAARRoAQIMIIEAJEGAFCgAgjQAgQYQQIASKMACFAhBEgBIgwAoQAEUaAECDCCBACRBgBQoAII0AIEGEECAEijAAhQIQRIASIMAKEABFGgBAgwggQAkQYAUKACCNACBBhBAgBIowAIUCEESAEiDAChAARRoAQIMIIEAJEGAFCgAgjQAgQYQQIASKMACFAhBEgBIgwAoQAEUaAECDCCBACRBgBQoAII0AIEGEECAEijAAhQIQRIASIMAKEABFGgBAgwggQAkQYAUKACCNACBBhBAgBIowAIUCEESAEiDAChAARRoAQIMIIEAJEGAFCgAgjQAgQYQQIASKMACFAhBEgBIgwAoQAEUaAECDCCBACRBgBQoAII0AIEGEECAEijAAhQIQRIASIMAKEABFGgBAgwggQAkQYAUKACDMlJLdfXa1W9x8XJ1fHLUcmBIgoE0Jy974uz+Vp/c8xy5ELASLK4yG5Xvyu2gO6++6i3ROavBzZECCiPB6Sf/5ch+e2i9D05ciGABFl6jmgTYAWreeeGC9HgIhyfICmL0cmBIgoAoQAEWZqgJyEfsUEiCiTXwfkafjXS4CIMjlAd++9EPG1EiCi+FUMBIgwAoQAEUaAECDCCBACRBgBQoAII0AIEGEECAEijAAhQIQRIASIMAKEABFGgBAgwggQAkQYAUKACCNACBBhBAgBIowAIUCEESAEiDAChAARRoAQIMIIEAJEGAFCgAgjQAgQYQQIASKMACFAhBEgBIgwAoQAEUaAECDCCBACRBgBQoAII0AIEGEECAEijAAhQIQRIASIMAKEABFGgIqx3E+ACCJAxVj+r30EiCgCVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBIj0CVAwBYuzu/cnV6v5j9Z/O5aJx+mIzEKBiCBBjd+8XZ1sBWlXfvf287+q33xxe3WPjOwhQMQSIsSpAJ1eTA3T77vCe0WPjuwhQMQSIsbv3v/543gTo9t1i8eZi1Qfo7v2fvTu5qvq0qL9rB+8/LhYn/+fdr6svf1MNnDf9qsfv3r/9u+r7Zvzq0W1uE6BiCBBjd+9Pb97+v491ak7rjnzeBKiqUX1B+287WO/h3FZdun1X16heqB9/c9GPH0uAiiFAjFVpuf/435pDsH7/pQ9Q9d+bxdlqdV3vF7WDbYDaGNUB6sf77wWIAwSIsXrf5vrXzc7M4qx5SmwYoOv2KbHzfnAcoM24APEoAWKsPbha1Dsz56NDsH4PqNIP7twDWq1WAsQEAsRYHaBqR6duyWnzdStAm9C0g/W1hwF6+FWA2EuAGGuSUZ9Xrl+BePLH9nTPOkDNs1x1lPrBy8WbPw0C1I+vv79sn0g7xoOQfPp29WHCSgQoOwJEeh6G5MOy8m31h5+WB57TF6DsCBDp2RWSag/ox7pCv9r7kmwBypAAkR7ngIohQKRnV0h+/rra/XnkJdUClB0BYmy5x8vNYOch2K8+NyeCvjhyOZImQIwt/36X8ACdt1+chH5VBIixnQFa/n1wgH44tOtzYDmSJkCM7QpQdVlwgP73D+ezliNpAsTYjgDVF0Ufgj3yFPy+5UiaADH2MEDNJcEBWnWvRvQ6oFdFgBh7EKD2gvgA1ZyEfl0EiLFxgLrvgwP01zOXI2kCxNhyZ3/qAN2+q99q4/arfidk86eD7r478rdR950D+nbGciRNgBhb7uxPG6D61+BjArQa/EbqkcuRLgFibLmzP02AvvrjWWCAKp8O/jqGAGVHgBhb7uxPG6B/+turJjs3zQcV1n+6fbf49cfzKk2L+q0Qq+/eXKxu/+N/bt7Qtd5fqq75508XoNWnQ6sSoOwIEGPLnf1pA3R102Tn7v356ubNRfen68V5fXbo5qS9vH4b1vPV/cdqoP5wjPP2LeyPceAk9I+ehn9VBIix5c7+dAG6//6iO/CqDqzqIDXv0np+++VFPVoP1Ze339V/bMaf6iT0uTcke20EiLHlzv50AVrdftMdeC2aPaBqJ6fe2Wkua3PUf1ddo7rK9VMFqHtDDi9EfF0EiLHlzv70AVpd/qHa06l2cbb3gNoA9XtA7Xf1yp5sD6j108FfSRWg7AgQY8ud/VkHqH4u/qZ+s/mtc0BtcvpzQNV39TmgfvwpzgE953KEESDGljv7sw7Q6vrkqv5Q1P+0PtT6880+T/csWH29u/fNx2FUl/zFEz4L9izLEUaAGFvu7M+BX8U4+hDrMTtD0rwl/eG35BCg7AgQY8ud/dkToPpsUH1A9qR2viFZffb5568PviOHAGVHgBhb7uzPvj2g68XxHzz4mD0fy1M7+MaIApQdAWJsubM/0b8N3wXo56+9Dug1ESDGlnvelf7lZnDgPaEF6HURIMbS/Fie1afmNdCfHIK9KgLE2O57PjxAq58e+1gwAcqPADG2855fvuTd7nVAxRAgxnbd88sXvdsPHIIdvxwpEyDGdtzzy5e92/e+Duin5cFn/AUoOwLE2MN7fvnCd/v+j2b++etDr4UWoOwIEGMP7vnlS9/tOwPUvhn0T96O41URIMbG9/zyxe/2nYdg7SkgrwN6XQSIsdE9v9zc7TM/lqd21C+s7jkJXR99+VWM10WAGNu+55eDu/2Yj+UZjf3yALXviOh1QK+LADG2dc8vh3f7MR/L8/QBer7lCCNAjA3v+eXW3b7jY3nuP/7h3eL0tvp3df/9f19/Vs9X/9i8HdnMj+YRoGIIEGPD6Gzf7Ts+luf+Y/3RO28/3355cf+x/lyes8HbQ8/9aB4BKoYAMTY46hrd7Ts+lqduTPdv/WV1fToI0NyP5hGgYggQY5vTzuO7fcfH8owDdPP2XwYBmvnRPAJUDAFibP28+4O7fcfH8jy6B7Sa8dE8AlQMAWKsf+Hhw7t9x8fybAWoOd3TnPE5aRo196N5BKgYAsTYcmd/1gHa/lierQD91WJx1rxL9F/8vr7K+dyP5hGgYggQY8ud/Xn8bm8OwZ6EABVDgBhb7uyPAPEMBIix5c7+CBDPQIAYW+7sT/Rvwz/ncoQRIMaWe96V/uVmIEDFECDGEv1YnmdcjjACRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHoEqBgCRHomh+T23WLx9vPxy5EKASI9k0NyczpvOVIhQKRnckguz+YtRyoEiPRMDcn99xf9Eq3nmhDPJdMALfeLnhq/3NSQ3H33m8Wbi833ApSdXAO0f9rRU+OXmxqS2y8vVne/vzp6OZIhQKTnmJDcfbfZBRKg7AgQ6RGgYggQ6ZkakpuTq9Xtb70OKGMCRHomh+R6sTjZnAISoPwIEOnxqxjFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFOPBI/g/7LPfbv505C82a9vzbglQIUDEOPJLnjMzYzqxkCNCrJkDFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0DFECDSI0BZWu63f5mnDdB+BwL0tNN+jluWlyVAWXraPZOXGnniHSoBegUEKEsCdHAZsiFAWRKgg8uQDQHKkgAdXIZsCFCWBOjgMmRDgLIkQAeXIRsClCUBOrgM2RCgLAnQwWXIhgBlSYAOLkM2BChLAnRwGbIhQFkSoIPLkA0BypIAHVyGbAhQlgTo4DJkQ4CyJEAHlyEbApQlATq4DNkQoCwJ0MFlyIYAZUmADi5DNgQoSwJ0cBmyIUBZEqCDy5ANAcqSAB1chmwIUJYE6OAyZEOAsiRAB5chGwKUJQE6uAzZEKAsCdDBZciGAGVJgA4uQzYEKEsCdHAZsiFAWRKgg8uQDQHKkgAdXIZsCFCWBOjgMmRDgLIkQAeXIRsClCUBOrgM2RCgLAnQwWXIhgBlSYAOLkM2BChLAnRwGbIhQFkSoIPLkA0BypIAHVyGbAhQlgTo4DJkQ4CyJEAHlyEbApQlATq4DNkQoCwJ0MFlyEZogJb7PcXqn8ucac/6UQ8s9LSP5BcaObTQk/6oZCM2QHn+3Xqx/4/Pevg/7dqedOSpN/RL7kTSIEDHE6CZIwLEmAAdT4BmjggQYwJ0PAGaOSJAjAnQ8QRo5ogAMSZAxxOgmSMCxJgAHU+AZo4IEGMCdDwBmjkiQIwJ0PEEaOaIADEmQMcToJkjAsSYAB1PgGaOCBBjAnQ8AZo5IkCMCdDxBGjmiAAxJkDHE6CZIwLEmAAdT4BmjggQYwJ0PAGaOSJAjAnQ8QRo5ogAMSZAxxOgmSMCxJgAHU+AZo4IEGMCdDwBmjkiQIwJ0PEEaOaIADEmQMcToJkjAsSYAB1PgGaOCBBjAnQ8AZo5IkCMCdDxBGjmiAAxJkDHE6CZIwLEmAAdT4BmjggQYwJ0PAGaOSJAjAnQ8QRo5ogAMSZAxxOgmSMCxJgAHU+AZo4IEGMCdDwBmjkiQIwJ0PEEaOaIADEmQMcToJkjAsSYAB1PgGaOCBBjAnQ8AZo5IkCMCdDxBGjmiAAxJkDHE6CZIwLEmAAdT4BmjggQYwJ0PAGaOSJAjL2mAC3nmLO2GdM+sMysDc1Z3Zy1PelIAgGa8zdhlif+K/e0k0vIqwrQk/4ljl/bi4WhpAA96dqeeEMl7uwJULprSyAZAjSXAE0jQOmuLYFkCNBcAjSNAKW7tgSSIUBzCdA0ApTu2hJIhgDNJUDTCFC6a0sgGQI0lwBNI0Dpri2BZAjQXAI0jQClu7YEkiFAcwnQNAKU7toSSIYAzSVA0whQumtLIBkCNJcATSNA6a4tgWQI0FwCNI0Apbu2BJIhQHMJ0DQClO7aEkiGAM0lQNMIULprSyAZAjSXAE0jQOmuLYFkCNBcAjSNAKW7tgSSIUBzCdA0ApTu2hJIhgDNJUDTCFC6a0sgGQI0lwBNI0Dpri2BZAjQXAI0jQClu7YEkiFAcwnQNAKU7toSSIYAzSVA0whQumtLIBkCNJcATSNA6a4tgWQI0FwCNI0Apbu2BJIhQHMJ0DQClO7aEkiGAM0lQNMIULprSyAZAjSXAE0jQOmuLYFkCNBcAjSNAKW7tgSSIUBzCdA0ApTu2hJIhgDNJUDTCFC6a0sgGQI0lwBNI0Dpri2BZAjQXAI0jQClu7YEkiFAcwnQNAKU7toSSIYAzSVA0whQumtLIBkCNJcATSNA6a4tgWQI0FwCNI0Apbu2BJIhQHMJ0DSTQ3L/cXFyNWO5QwTo4NoSSIYAzSVA00wOyeVp/c/xyx0iQAfXlkAyBGguAZpmakjuvrtY3X612QUSoOdfWwLJEKC5BGiaqSGp41NHqFqiNX0TS+C5zHnUJ+T4AB23HMBeAgSEESAgTOhJaKBsoU/DA2WbHJK790//QkSgbKG/igGUTYCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgjQEAYAQLCCBAQRoCAMAIEhBEgIIwAAWEECAgzO0BAVp40HE8ldFZp3iRTZDtzE39p2U78ZQjQLNnO3MRfWrYTfxkCNEu2Mzfxl5btxF+GAM2S7cxN/KVlO/GXIUCzZDtzE39p2U78Zbh5gDACBIQRICCMAAFhBAgIExeg+4+Lk6uwrR/v9t1i8fZzP+3tLwm7/erBbPOYezPx/G70esbned7iIeICdHla/5OPm3ay3bS3v6Tr7n39V37npNOeezvx7G70u/fnq5s3Fzne4jHCAnT33UX7P7lcXJ7V/+2mvf0lemr7XS9+V01v56TTnns78fxu9Jtmf+08w1s8SFiAbrsHRi7uv2/m2k17+0v03Pb758/1FHdOOu25txPP80av9oIyvMWDCNBEd9/9ZvHmIrfHQns7Z/lwaOeX441+/fZzlrd4CAGa6PbLi9Xd76+y+yuVdYCyvNGvTzK9xUMI0BFy/CuVdYBquU38utply/MWD+Ek9BGqOWd3WrH/W5/dKeZ6+RYAAAG5SURBVNFBgHKa+HXzRHuWt3gIT8NPdFPvWP/2c3ZPrDZ/43N8UrieeH43en3QWMvxFg8RF6C793m9Kut60cy3m/b2l4Q1Ado56cTn3kw8uxv9snn35fMsb/EQfhUDCCNAQBgBAsIIEBBGgIAwAgSEESBaP3iJLi9PgGj8+KvP0VOgQAJE44cvomdAiQSodB+Wy2rnp/3vD8vlsj4S+/Rt9advN6PwTASocB+qznz6YvXz11V4Pi2vVj/WBfqwPF/9VP3bj8IzEaCyNeH5aXn1U9+eau+nuvDb/g/taPQsebUEqHAfmuo056DbXZ0fvuiSU58V6kbhmQhQ6T40p31+qI/Clo0vuhPSn75dj8IzESDq3ZwP3fFWo9kV+vnr8/UoPBMBKtpPTV0+fNvU5kNdnB+rw68PX7R/6Edj58hrJkBF+/nrL5oKNan54Vefq+ycVxf+9UXzJFg/Gj1LXi8BKltz4qd54r3az6lfBnTVPO31qT3104/CMxEgxn7w0kNeigAx9slJH16KADH24Tx6BhRDgIAwAgSEESAgjAABYQQICCNAQBgBAsIIEBBGgIAwAgSEESAgzP8HMX30gW8vTbwAAAAASUVORK5CYII=" /></p>
</div>
</div>
<div id="are-there-differences-in-activity-patterns-between-weekdays-and-weekends" class="section level2">
<h2>5 - Are there differences in activity patterns between weekdays and weekends?</h2>
<div id="create-a-new-factor-variable-in-the-dataset-with-two-levels" class="section level3">
<h3>5.1 - Create a new factor variable in the dataset with two levels</h3>
<pre class="r"><code>#___5.1___Create a new factor variable in the dataset with two levels - 
#         &quot;weekday&quot; and &quot;weekend&quot; indicating whether a given date 
#         is a weekday or weekend day.

# Make variables for factor categories
dayofweek &lt;- 1:nrow(dt_imputed)

# Factor categories
wday &lt;- c(&quot;Monday&quot;, &quot;Tuesday&quot;, &quot;Wednesday&quot;, &quot;Thursday&quot;, &quot;Friday&quot;)

# Change regional settings to match the English language.
Sys.setlocale(&quot;LC_TIME&quot;, &quot;English&quot;)</code></pre>
<pre><code>## [1] &quot;English_United States.1252&quot;</code></pre>
<pre class="r"><code># Distribute factor categories
for(i in 1:length(dt_imputed$date)) {
    cday &lt;- weekdays(as.Date(dt_imputed$date[i]))
    if (cday %in% wday) {
        dayofweek[i] &lt;- &quot;weekday&quot;
    }else{
        dayofweek[i] &lt;- &quot;weekend&quot;
    }
}

# Add the factor variables to dt_avgsteps in a new table
dt_imputed2 &lt;- data.table(dt_imputed, dayofweek)

# Take a look at the nwe data
head(dt_imputed2, 5)</code></pre>
<pre><code>##    steps       date interval dayofweek
## 1:     1 2012-10-01        0   weekday
## 2:     0 2012-10-01        5   weekday
## 3:     0 2012-10-01       10   weekday
## 4:     0 2012-10-01       15   weekday
## 5:     0 2012-10-01       20   weekday</code></pre>
<p>The table above shows how the new variable is added to the imputed data set..</p>
</div>
<div id="make-a-panel-plot" class="section level3">
<h3>5.2 - Make a panel plot</h3>
<pre class="r"><code># Reset regional settings
# Sys.setlocale(&quot;LC_TIME&quot;, &quot;Norwegian&quot;)

#_________Calculations on weekdays
# Average steps per interval for each weekday
dt_weekdaypattern &lt;- data.table(sqldf(&quot;SELECT interval, avg(steps) as steps, dayofweek 
                            FROM dt_imputed2
                            WHERE dayofweek = 'weekday'
                            Group by interval&quot;))

# Find max interval with corresponding value for weekdays
maxsteps_wday = max(dt_weekdaypattern$steps)

# Look up the corresponding interval for the max number of steps for weekdays
maxint_wday &lt;- sqldf(&quot;SELECT interval, max(steps)
        FROM dt_weekdaypattern&quot;)

# Make new variables for dt_weekdaypattern in dt_weekdaypattern, indicating interval with max value
remove(intvmax)
stepmax &lt;- 1:nrow(dt_weekdaypattern)
intvmax &lt;- 1:(length(stepmax))
maxintv &lt;- maxint_wday$interval[1]

for(i in 1:nrow(dt_weekdaypattern)) {
    if (dt_weekdaypattern$steps[i] == maxsteps_wday) {
        stepmax[i] &lt;- paste(&quot;Max = &quot;, maxsteps_wday, &quot; steps at interval &quot;, maxintv, sep = &quot;&quot;)
        intvmax[i] &lt;- maxintv
    }else{
        stepmax[i] &lt;- NA
        intvmax[i] &lt;- NA
    }
}

dt_weekdaypattern &lt;- data.table(dt_weekdaypattern, intvmax, stepmax)


#_________Calculations on weekends
# Average steps per interval for each weekend
dt_weekendpattern &lt;- (sqldf(&quot;SELECT interval, avg(steps) as steps, dayofweek 
                              FROM dt_imputed2
                              WHERE dayofweek = 'weekend'
                              Group by interval&quot;))
dt_weekendpattern &lt;- data.table(dt_weekendpattern)

# Find max interval with corresponding value for weekends
maxsteps_wend = max(dt_weekendpattern$steps)

# Look up the corresponding interval for the max number of steps for weekends
maxint_wend &lt;- sqldf(&quot;SELECT interval, max(steps)
        FROM dt_weekendpattern&quot;)

# Make new variables for dt_weekendpattern in dt_weekendpattern, indicating interval with max value
remove(intvmax)
stepmax &lt;- 1:nrow(dt_weekendpattern)
intvmax &lt;- 1:(length(stepmax))
maxintv &lt;- maxint_wend$interval[1]

for(i in 1:nrow(dt_weekendpattern)) {
    if (dt_weekendpattern$steps[i] == maxsteps_wend) {
        stepmax[i] &lt;- paste(&quot;Max = &quot;, maxsteps_wend, &quot; steps at interval &quot;, maxintv, sep = &quot;&quot;)
        intvmax[i] &lt;- maxintv
    }else{
        stepmax[i] &lt;- NA
        intvmax[i] &lt;- NA
    }
}

dt_weekendpattern &lt;- data.table(dt_weekendpattern, intvmax, stepmax)

# Union dt_weekdaypattern and dt_weekendpattern into dt_weekpatterns
# dt_weekendpattern &lt;- data.table(dt_weekendpattern, stepmax)

dt_weekpatterns &lt;- (sqldf(&quot;SELECT * from dt_weekdaypattern 
                            UNION ALL
                              SELECT * from dt_weekendpattern
                            ORDER BY interval&quot;))
dt_weekpatterns &lt;- data.table(dt_weekpatterns)

# Panel plot for average steps per interval, distiingueshed by weekday or weekend
p3 &lt;- ggplot(dt_weekpatterns, aes(interval, steps)) + geom_line(colour = &quot;blue&quot;)
p3 &lt;- p3 + theme_classic()
p3 &lt;- p3 + facet_grid(dayofweek ~ .)

p3 &lt;- p3 + geom_text(aes(x = interval, y = steps, label = stepmax, group=NULL),data=dt_weekpatterns, hjust = -0.2)
p3 &lt;- p3 + geom_point(data=subset(dt_weekpatterns, !is.na(stepmax)), colour = &quot;red&quot;)

p3 &lt;- p3 + ggtitle(&quot;Figure 4 - Daily pattern by 5 minute interval - Weekdays vs Weekend&quot;)

p3 &lt;- p3 + ggtitle(expression(atop(bold(&quot;Figure 4 - Daily pattern by 5 minute interval&quot;), atop(italic(&quot;Weekdays Vs. Weekends&quot;), &quot;&quot;))))


p3 &lt;- p3 + theme(axis.title = form_xlab1)
p3 &lt;- p3 + theme(plot.title = element_text(lineheight=.8, face=&quot;bold&quot;))

p3 &lt;- p3 + ylim(0, 260)
plot(p3)</code></pre>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABIAAAAMACAMAAABrYew+AAAA4VBMVEUAAAAAADoAAGYAAP8AOjoAOmYAOpAAOv8AZpAAZrYAZv86AAA6ADo6AGY6AP86OgA6Ojo6OpA6Ov86ZmY6ZrY6kJA6kNs6kP9mAABmADpmAGZmAP9mOgBmOjpmOpBmZgBmZmZmkJBmtrZmtv+QOgCQOjqQOmaQOv+QkDqQkGaQtpCQ27aQ29uQ2/+2ZgC2Zjq2Zma2Zv+2kDq2tv+225C22/+2/7a2/9u2///bkDrbkJDbkP/btmbbtrbb25Db29vb/7bb/9vb////AAD/tmb/tv//25D/2////7b//9v///9pr8WiAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAgAElEQVR4nO2dC4PruHlYNQP3pnPvPuy4mZ31trUTTbqJnVG6aWqPsk3q3pVnNfr/P6gE+AJJkARIkADBc/buSEPhRYk4A3wgxcMNACAQh9ANAID9goAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgIKBLOh4L71/fnw4fPkwrJcj4MlN0uVVXkWNv/fK1/jnPKdqf3xaJZphZXrRttyWgW26baVAneQUCR4EVAZ3N3rso+HBvb3QV0fZJCyX/aMCig0xwBGdvQzWLf1PEqYQEQUCRoAppcxtunMQHdvXRedOp0uVAGtWJIb+b6dHi0rdetZPdkBQhodRBQJJxrOZTd4CSFoXpQ3o3yHpsl/P0nlfjUGj5k+foEpHphll+9LD2lCqhGQP+vmLpdqjFSVuMfn0obVhnUmOX+t6UnqwaUbTqrBmuaK4rJdue9U0VWqj4gy1r3cFGDtLPWuptepPY2nDptqN85LUs3WdHUr/MSszY8tt+QiR8gTAIBRUJHQEonsqd0BJSHc6ROmgOm8+E//dchAckCsoIv1WConoIVKerxwkkbMtUZGgLSGlC26azlahSTJepUcWm2vyiuzlDapC6yK6DWm9DJ0k1WNPX/5B5U73rrDfH3mcI4CCgSqmnSsegGF/Un+3QwCKgYH2Xb9GnM5XD3T31B6KKHnvMI00Pxp78WUD4akYOQIkter2qDlqExBdMaULbpXKimatTpUO2KqQpdVlISj7dqDPRY26QqUn8bOm2Q9GXpNjVvR/kGNN4Qzx8sDIKAIqEjoKq3dQUk/3YXva5yi9xw7F0FqwRUdPfzoVBLIaA8Yz09knY43rTxSp7B0O3PRWc/FqmOqi/XkqnmTu0qst+znFnaosvnw7P8p2YDvciOgNpvQk8Wc1Pz2h9v2v4hoNVBQJHQFlAdCOrGgIroRXMEcaoGKwo16yh6U1NA+dyuKaA8yanufoV5Whl0AekNKMWWPzZGOXUx7SpudZOKBj+UPxsCqovsCKj9JvRkMTVVDcguqsDWG+L7k4UhEFAktGNAZS/WBJT/vS4SXg7NvncpwiajAlLd7aiK1wQk+6M+nyvMIQcsWgZdQHoDBgRUTM2y7e0qbkW7XQWkTQbbb0JPFlNT1Vt1KuZhjTfE20cKFiCgSGgLyDACagiotYZUhXvL+ItJQGrWk5fSFpDsj1oT9KGLlqE1AqoaYDUCaleRM0tA7TehfwTUaap8U/74VMzVGm+I+2cH00FAkdBZBdNjQOdyNaoWkNbLFW0BNctWGpB/6h+KKEwrCK2K/VrrfVoMSMvQigE91BX0CkgLJTWrKOIvVZTJQkD629BpQ/3OdQRkamq28e4fVd3tN8T5o4MZIKBI6AhIXwUrV4U0AeV9O4/ZVoxcinEoZkLKOs0RUB4nqd2lrYJpGYrKz+U5NmUDhgRUFtOuIisxXwIv0loJqP02tN6EPmcZmlqfGtR+Q2Z/lOAAAoqEwfOAqiiqJqDi3JbGlGZUQMc65NoSkNysnVOkncCjZVDRFDUmqk+uqY1kFlBZTKeKYqfKHm8hIP1t6LShfuf0LL1NVS+pp+03ZN7nCG4goEgwnwl9/1rFPQ4f/qyvghUdp9lfRgSUJ5b55EnLxUVnZW2XxlnUWbV/ei5y1BmKs7OLn3UDhmJAxZnQt04VrTO3LQSkvw2dNtTvXCNLX1Nv9cCp9YZYf2TgAQQUOZ1166W4NC5VdbuGalIVAAgoXk6H4jKlvqvF/ZKfF6jV7l9ArSoAEFC8lCevGC5g948KkujLZ/4F1KkCAAFFTB45XWcCll+IpbGMgPAPtEBAABAMBAQAwUBAABAMBAQAwUBAABAMBAQAwUBAABAMBAQAwUBAABAMBAQAwUBAABAMBLR3Lvn9AtW3In7RuvD1pF28de69kOv971W2S/uyNduSm/TXAwmCgPaOcsPbL7+U3zbW+uaP9+ej8Xmbk3yp0JB7ybavQIogoL2jNPHPv880cf22pZDrb+or4jsvaqhBy6XzvUWWJbdeGagH0gMB7R3Z49/+y1umiXP+JfjFF5k+5JOq9+fDUf76t1++5t8Rq0Y6p2PxXacK6Z58c+PriyxLlr8+VF/4WtSzyrcgQXgQ0N65Ph1v//ySjVakQk7yO6Ify4ezvCXGowrjXJ8+fFYaeZDyefvVZ6mQS/GdQdmvyjH6NuuS1a+HRzmMKuppFQMpg4D2TqaJTCDZaCUbx6hJ0+WheLidHs9yJKJ+zczzf28qeCxNIW9yo5nmN69q5qRvsy9Z/SoHVWU9rWIgZRDQ3nl/PkqffPvyzy/F18A+FA/ZHOk/Pz8Wy1uZI075jX0uD3kE5+1T6YlshFOsXdXb7Eoufv0fr7KMsp5WMZAyCGjvvD//bTaDun77h//+uQwkFw9yCiWnQhd1u5yj9IMK6/zqXx4LKZULVqe/k0pqbrMt+ZZP4TKpafXoxUDKIKC9o2LB2c9fHvMp0eXupXz4Ut6VMJ8+ne7UAOUkb3T8376Ut0o8Ko3knH+Zj1v0bbYlZ79K82QSKuppFwMpg4B2zym/MWp5d8LidulyfCI3XTKJnNXilLx/36+VOR7zlPV3zBch43xbvZA+XnL+q5y/qf/zRbALt8/YDwgIHJERGwA/ICBwhGslwB8ICJyQJ+qEbgOkAwICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIxlwBITAA6HIwYEo2t5qZ+QEgRQxmQEAAsA4ICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYAAIBgICACCgYBggNPh/lU9eX8+PDrkuz4dDocPn4uchyKvenr03cb357yi6dlUa7Um5k/PB4X39oIOAoIBTmUHfPvkIqAsteTupejch8PDrejcxh59LjTnQpWnJSDbsupsRWtlE7XWyn1HQIuDgPbBTz9Nyna6+1p1xtv5F5/sBfT+LNVzu8iOfJY/rk9yw1mOiS4HgyBOEwTUl8e2rFpAJ+nWt08yn9baiQMrcAMB7YKffppmoNP9P6j+/P78N0/2Aro+KWu9P9+/Ft34nA0k5K/F0241QQWUtyuzjtbacidgWRDQHvjpp4kGOt3/6xdyMPP2xR+UgC6HPESiBjfZ0CF3STFxObQGN3UXvz5lr1yf1K+Xei53yrOoqdmDHn/JlHAqSzs1yy1aUOYpqsn+/49P+vaqrPfnh3NZgmpQuQt16871CKhubbbBJegFE0FAe2CGgP70LPvh+cOfpYCKuOxj7p5LYYA+AZWvn/N49Nsn9WvxcCuDLHcvhTS0UMzp/rdlDKlMVOQpW9ARUHN7Xdb78y8+HT78i1KldEq1C9oU66y3vWht1vq/eyoD6bAYCGgXTJ+CvZ6zPpgNI66ZgPKhgRrJZD/+/DTcO/PUt9whWdJiSFFNbfInakB0ysdBj7diVHUq3POgJ6rLVC046UHoLHMZb2qVlT/NizndvdQF1AJqBseL1pamqtQHi4CA9sHUIPT96yXrgm+fjtenep1a9s/LWN/MQ7kFZzUqaQvooEdhipFR5jplilseQ9ISlRQtaAmoISatrCLydKrngEUBlYBKRdXNzUVWDJqIBC0KAtoJYlKuk1TAo1zaVgIqZjaq557qWI5pCvb2SfeT1EBnCnbWplyvZdm6XGRcuE5UFNtKU8WAPhdhnVZZhWcuasp41AqoBNRpVymt8h2Y9M6BHQhoJ4hJBpLd7/Th80nOhR6VaB6LgUQ2btCith0BnVvxIGWydhA6z9eWhqyyFlCdqMzxaJyCmQVULcPJcVc+CioL0ATUHJndGtZBQMuCgHbCdAFd7v7wdFQCUkOIQkDnu98PLBOda2OoJ/mKvGkZXk19cmnUxdVTMC2RRGvBsICqskrPnO//KA1TF2AaAWmtrZ4Shl4UBLQTpgvo+vQ79fMxX9bKozKyu556g0Dnes6Uh1LUSnfrRMS846uTFk/qHByV8pLHX2SikwocVYlu5at5C6ra2wJqllUa5O3T7+S2uoBODCiPfletPRVFsBi/KAhoJ0wXkBJBNQUrJzZaULeDPiUrnhezNm21qbrWQS1f1Uvnav3r7utyRlcn0kvOXjm3zgMqBdQqq/RMVrl8ou9C/6UYWkoGQMuCgHbCDAEVJwY/Fp3ymI0xzoPDg8tBiwkNXIx6Ln2Uj2nUy3mA+/5Pz2XfrxIpqhbUi2gtAbXKqjxzPjw2Chi9GFU71QgWAwHtAzFxGSwMRH53AwLaB2LqQnwQENBuQED7AAFBlCCgfYCAIEoQ0D7YloBgNyCgfYCAIEoQ0D5AQBAlCGgfICCIEgS0DxAQRAkC2gcICKIEAe0DBARRgoD2gbhhIIgQBLQPEBBECQLaBwgIogQB7QMEBFGCgPYBAoIoQUD7AAFBlCCgfYCAIEoQ0C4Q1Q+AmEBAuwABQZz4E5C8t8CxumGdft86u/ywIAgI4sSbgK5Px5u8jfjpQf4rH+zzw5IgIIgTbwK6qHuhHK/fvtzevnwtHhzyw5IgIIgTrzGgbBQkrZPZp3hwzA9LIbSfAPHgVUDnD5+7AspvUTenjTCLegUeAUFs+BTQ+f71xggoOhAQxItHAZ3lXb0RUHQgIIgXfwI6q2V3gtDRgYAgXrwJ6O2LfLzDMnxsICCIF28COqlY8/F2fVJnIBYP9vlhKYRAQBArXIqROkL9VzwFiAsElDoICCIGAaUOAoKIQUCpg4AgYhBQ6jQFhIMgKhBQ6mgC0p4BRAECSp2GgAQCgqhAQKmDgCBiEFDq6IEfwRwM4gIBpU5DQEShIS4QUOI07seDgCAyEFDitG8IhoAgJhBQ4iAgiBkElDht4SAgiAkElDgICGIGASUOAoKYQUCJ0xEOBoKIQECJg4AgZhBQ4iAgiBkElDgICGIGASVO1zdckArxgIASx2QbFASxgIASx+waDARxgIASp0c1DIIgChBQ4vSKBgNBBCCgxOn3DIMgCA8CSptByaAgCA0CSpsRxWAgCAsCSpsxwzAIgqAgoLQZ9wsKgoAgoLSxsQsGgmAgoLRBQBA1CChtEBBEDQJKGwQEUYOA0gYBQdQgoLRBQBA1CChtEBBEDQJKGwQEUYOA0gYBQdQgoLRBQBA1CChtEBBEDQJKGwQEUYOA0sZKLhgIQoGA0gYBQdQgoLRBQBA1CChtEBBETWmG0/1re5Mp2dxqYF3s1IKAIBTSDG+fDodjc5Mp2dxqYH0QEMTN4XZ9+vC5tcmUbG41EAIEBHEjzXA5MAJKFAQEcUMMKGkQEMSNNMM5GwE9NjeZks2tBtYHAUHcyBjQQ3uTKdncaiAECAjipogB3b00N5mSza0G1gcBQdwUZnh/JgaUIggI4oYzoZMGAUHcHOTo53A4aOcCIaB0QEAQN4fMPw/vz8dzbSAElA4ICOLmcLt++5IJ6O1LYkAJgoAgbuQI6JERUKogIIibzAzXb//pmRhQmiAgiBtWwZIGAUHcIKCkQUAQNyzDJw0CgrhhGT5pEBDEDcvwSWOpFgwEgWAZPmkQEMQNy/BJg4AgblgFSxoEBHGDgJIGAUHcyG9EPBQUXwmEgNIBAUHc5GY4PXQ2mZLNrQbWBgFB3EgzyDMRCUInCQKCuMnMcJL2OfOVrCmCgCBuDrfrb5R6/g0BJQgCgrhhFSxpEBDEDQJKGVuxICAIhDTDiavhEwUBQeSoq+GzxxPXgiUIAoLIUVfDZ49cDZ8iCAgiJzPDWY2AHvVNpmRzq4H1QUAQOVyKkTIICCKHVbCUQUAQOQgoZRAQRI6MAR0Ox7cvXvRNpmRzq4H1QUAQOWoV7O1Xny8swyeItVgwEIRBCej6m1eW4VMEAUHkqGX49+fjhavhEwQBbYB9v/fVMjznASUIAtoA+37vWQVLGQS0Afb93iOglEFAG2Df7/0hX35/fyYGlCAIaAOIXb/5MvZzORzuXrRNpmRzq5mZHyaBgDbAzgV0PhweWptMyeZWMzM/TAIBbYCdC+jGCChdEFD8iH2/+YUZiAElCQKKHwRksQkBbRMEFD8IyGITAtomCCh+EJDFJgS0TRBQ/CAgi012AlEXtL4/q29WLB6c8oNvEFD8iH2/+x4FdH2Syjk9yH/lg0t+8I6bgPbcD8KBgCw22QjkfPh1NgKS99jIRkLFg0t+8A8Cih8EZLHJRiD//lka5y2XUPHgkh/8g4DiBwFZbLKPAXUFlN9xY1YjYSL2R7ZwSg3+QEAWm+YIyD4/+MZRQHvuCMFAQBabENA2cRLQzteDQ4GALDbZC4ggdEwgoPjZ+eTX+3lALMNHBAKKnr2H/70L6PqkzkAsHpzyg28QkDWh9h0B2WziUoxtgoCsCRWBR0A2mxDQNnEU0I47QjD7IiCbTQhomyAgW4LtPAKy2YSAtgkCsiWsgHb8xiOglHE4rsWul4PD7TwCstmEgLYJArIkuIB2exY6AkoZBGRJaAHdlIP2qCEElDBOhzMCClVx4/e9aQgBJQwCsiUaARVb9yMhBJQwzgfxXo76DsEWw3vr3MtHgYASBgHZgoBCgYASBgHZEp+A9vJZIKAE6DtWtyCgOPoZAgoFAkoAbwIKcNTH0c9CCWigyjjemMVBQAnQs5SCgKzxLqCRskTr0b2EVEBACWA8VsUmBBTJd4AgoFAgoAQwHatiGyOgOATk/4IsOwENpYrhfVkBBJQAhrPWJn7BGALyWuKsCmN4Y5YHAW0fQyfOpxQIyJK1BSQQUAkCiospR123E5eXWK9S/SxEFB3Nu4BG3nphE3OK4H1ZAQQUF14EVEYYEJB9K26rCsjm4rMI3pcVQEBx4UNA1RJL/AKK5ApYi5iwa4GDZSGgCgQUFZMugm4e7XURCMiWIAIaqy2C92UFEFBUTIrJNjLpTxGQJQgoGAgoKmYLSDRfcC9qXRIUUBFfni+gGN6Y5UFAUTFXQOZgkEtR64KAxluVNggoJqatCYm+HoSALFlZQMLuk47gjVkeBBQTMwU0/4hFQH7KshDQeGURvDHLg4BiwkFAzbizzYltjqWuQlwC8vIOFruEgOxAQDExS0A+jteVj3lfA7e5+BSQxQQLAdUgoIhw0Yh2us9t6tzN3IIViU1AXiaxCMgFBBQR1UTK5uBsJvZ1G5d1D/roBDS/LQjIDQQUD3V3dBeQ3zasxX4FZPUXI/wbszwIKB6q7mhxcCIgnwjj04lFjYfkEFANAooHNwFVCRHQbETP80lFWQrIsVmpgoDiwUFAVeDZV/S52Ya1EJ2fYRC9v0woSRucDlSHgHIQUDyI8gEBrcy6Ahrzk5+WbAQEFA+lgCykUhzDCMhnO8y/OZeEgFxAQPEg6sexZZlq6d33dyrvUkDtqmc0pY4vjwjIurTEQUDxYFyLEcb5WB0u2rKAhP6AgOak3CwIKBrMSzHGmHTdc5MRkK8zKWe0Y2CDU1FjQkVAGggoGnoFNPgn2nPHRUA9WxyKQkAOIKAwGA4to4C0wLQ5qedjdMFDXpS0K2sLaPVuNyIgh/Zofy58CGgHBkJAYTDfzFR/3jqM+7rEhgRUPWmpqCOgtbud7V8Dp5IQkBUIKAim1fO2gFqnOQvzwb0ZAQ2UnO+oJqjFGtFff/82l+YgIFcQUBCabqm3ac+7945qfgPHcg1bveS2gNbudwgoHAgoCKa4a1NAhX2MSdaYJ61ZcowCmjYgs5q5ISANBBQEk0mavxgFZHdTcR8tW7XgjoBW7njm2sqtCGhJEFAIjHMpGwHdrC7UmMNSZQ+VG6eA6mUA69ZYLZ657BsCGtg2s5o9IwzPDAIy//E1nxvtC/9lC+1nbwqtmy8+yDPV3785qIDSNxACCoFRO4ajN8DZeQsJaLDYSAVUtQQBLQcCCoFx5mU6epMQUHs1z1RnW0Br7vnwehUCWhQEFIJx18QrIOcmWUSthIhWQKP27C0JAdmAgEJgkk0kh9oiAhrP0xHQpPdj2ns4kKt7MpZ9SQjIBgQUgtZh5f+rnafjXUDCNpQ1W0BTo/OD8fE4BBTJwbEACCgEnePJJdCwLGPNcO7k1rsmeh6NiQyvVBU5ttBqeGZVjHEWPa20VuKoBsleQUAh6B5Jq5/928cSAnJLOE1AWhdFQBsCAQXAdCCF/D4cnVEB+e/frYTmZcHh0poX1tvWOFikU4obApoIAgqA4+RiVeIWkFnTrat02xE2y3rnpLgZYu0IyAYEFICoD6ThqKt7sGq6gIZmqqKxsfHUVgQO7bNKY1nvlLdv/FZjmwUBBSDqA0n14aFQS2QCarZVGAQ03ILFBNSTa46Aoj5wpoGAAhD1cWQaRDReXU9A3bxdAXU7vYuALHfHIo3ovmkIyAIEFICoj6NgAjIEOkYF1OmSJgENDejcTlEaTLK4gKJZKfUJAgpA1MeR6LWMuK0tIOP4pn7BZI+uCAbmlLZ7Yyegrgz73kUHEFDvtpnV7Jioj6NeAfV+RdFYcW5JrQTUf0/qjoD6xkoujbMSUCeVMI69EFADBBSAqI+jPgHp3xLrbBWHpN3hS7ttt0EBiVYu0XiluXlxARlnkU4goN5tM6vZMVEfR6MCGgyqmIpzSzoiIK1HOgqoGfFZQ0B1g9zK6iRHQAjIJ1EfRz0C0jY7fSvsTAF1p1NVj+wpeUBAt5t2yrTTQG485UAKw9DLntr6CMhvNTsm7uPI+BUUevxnywIqdTBPQIaMg2UNtceiagSEgLwS93FkEpAWefE/e2kkHYyZ2AioSifq561XS/tMElBetmNoZ8aNpxFQ37aZ1eyYuI8jg4D0ectGBGS8aKN6XTeUddO0st1DO6L16FJ1PfyM+8iZAgJan8iPou69x+rO4/yH3GVfDTO/ZhG6/oaHA9ossTeZY9M0CYuqDofShHGGaV01AvJdzX6J/SiKW0B9Q5BmHgsBuSAa0evq/WjNzMYK6dnBsaoREALySuxHUVtAon7i1uOsU9WJjROm5pO6Rw5X61NAddRH9L01VqUEFlCERx4CWp8ID4MGLQHpz5YWkDH5RAHVyT0gWrVX2900N+Frq6sZHwLyW81+ifAw6GL62x5IQNoUsPhpN5fpTCVnIHqL64bMxhvlVrMmoJm7E+GRh4DWJ8LDoItoPebP25Ghvl0x5baps09AjV5u2xV9CmioOKfzoiZUK6pa6oexPINFxQQCWp/4jgIDVgLqNYYwpLeps7fnNMLKtvOd6ocXBqw39YZAdvW2zGNRFQLynT8p4jsKDJhiG61uljtBKG6dV24T+uVQcmFu01hpHt/soYHOigKyHfuZNsd36CGg1YnvIDBhjOAaml6NSkRtImHObVtp72tTdOZVQEE+uu64b7QZvV9/FN+xh4BWJ76DwIhpxmEz+hfVjd7dd3Qwx7T7cfh8t8N8Japh6jX6NdcIyHP+hIjvGDBjGnHYt33+io2hyNACCoMx9jNF1Qt8JvNBQGsT3SHQg+koDisg1/ISEVCJGPitnRIBec6fENEdAj2kIaCtvNsWmAP9PSmNpwt0CwkPAlqb6A6BHuYFPNxDxuNFTolpb+XdnsLQkhwC8ps/HaI7AvqY19Al+j4CatG3c8Jo64krkwuDgFYmtgNgIRDQGvQtdqmf5m8scjyXanEQ0MpE88kvCwJaheGbDTUdpKsnnnusIqCVieaTX5gYDvH0BWQc0TSed06gRkD7JppPfmGiOMSjaMTCdEM7neWyxvkIRSg6lncGAa1MLB/80kSxnzsSkGhvaaQR2kkVwkFAy79/CGhldtAlFHHsZxytWJRieCOaG7rJNAHZrMevNVNDQOuygx4B65LrZExAenorAYmbWOPaMQS0LggIPKMFdexONbQ5IUhUQ6uFQUDrgoDAM7qAhM2sqRLQ8NUcjcfFQEDrgoDAM0J3kP3xJQZnWAgoURAQ+Ka6Ya37wTVwMcdwAm8goFXBP+Cd8kSfCQcXAtoZCAi8M2O61JPFfkltNghoLdZZVABwwXhADpxW7Z2lBPT+fLh/nZF/U4yufopiho5/IC4MtzRpHqV9pzWaMk5hjoC++9hf7ulB/hvOP8CUXVv9vPv6trxi2C/F4uiid48CmIpo3NNkQEDNdNrkb7qOZgjoh4+3249C/NVnw2vXb19ub1/WQyDnEVC9a/X/wxlGBxjdm1cJ0X5HBzP0VSi0/5yLAYgH0z3ebnVX6SQvXtN+c61xhoC+e7n9/NXH248fDa9J+UgJyawK13bVg7z6/0H0TH0pDDla1Q1m6Kvwpp2G2pcQYKMMHcLN16Yc7PME9IN4zST02n1NE1BvfgDYOzME9P03KgqEgABgIrOC0Cr+I0NBHRAQAIwzdxn+56+WCUIDwA5Y6jygmcvwALAHlhLQ9WlHJyICwDTmCOh7ucj8YnrFLj8A7Jw5q2Afsx9/MZ+IaJMfAPbOvPOAJMpDE6oBgN0zZwR0VA9/EYbzgGzyA8DemSGgn79SQ6AfbeZgCAgAusyZgqkY9HfEgABgIvOW4b8rrrc8TqgGAHaPj/OAMg1ZhIEAAFocDJiSrd4wAIACo4B+kN9G9r/WbgoA7A3jNyL+1eef//rzD0y/AGBZ+r4R8a8/252ICAAwmQEB/ciJiAAwjRlB6B8+IiAAmMO8q+H/dyag776ZVg0A7J5Z5wH9/JUQwtsGk0wAABn9SURBVMY/CAgADHBrZgAIxlQByVti2H0XWW+ZALB3Jo+A1GVgcvrF13EAwETmfSHZj9JCfB0HAEyDGBAABGPWjQk/zqkGAHbPDAHJW6L+aDcDQ0AAYGBeDOjnrz7efvw4rRoA2D3zBCQvhf/5K1bBAGASc+6K8Y2KAiEgAJjIrCC0iv/IUNCUagBg98xdhv/5K4LQADARzgMCgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIBgICgGAgIAAIhj8BvX06HI632/vz4f61enDIDwC7w5uArk/H2+Xu5XZ6kP/KB/v8ALA/vAno8uFzNuw5Xr99ub19+Vo8OOQHgP3hNQaUjYKkdTL7FA+O+QFgX3gV0PnD566ADoo5bQSARPEpoPP9640REABY41FA57tMOAgIAKzxJ6CzWnYnCA0A1ngT0NsX+XiHZXgAsMWbgE4q1ny8XZ/UGYjFg31+ANgfXIoBAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQAAQDAQEAMFAQDCDU3n/2/fnw6Nb1uvTMX9yPhwOHz63n/rj/XlSkVq2bOcO9e6VDT8fipsBwwwQEMzgVHbAt0+OAro+5TlV5861oz1tcdZv821JlaclINuy6mzZvkkemg0vbkaOgOaBgGAGp7uv8355/sUnJwHJTq267lmKKx8/aU/b1UwQUF8e27IqAWUtyp6V7aoaPnFgBU0QECh++mlKrtP9P6j+/P78N08OAspGEXf/qPrx+7PKf3160J92qwkooOuTeqIe6oYb2wnOICCQ/PTTJAOd7v/1i5fs8e2LPygBXQ55tOSiJiynYn6Sdducsu9fs8QX9eJbPXB664yhTnkWNTV70EMxmUROZWknrdy6BWWeW26S7P//+KRvr8p6f344lyUo55S7UAno7dNDsa+vWsMNzYUJICC45f6ZYqDT/Z+eZT88f/jz02MVl33M3XPRwiZNAUnyfpz9lJMa2de1p0XhKs/dSyENLRRzuv9t/lKdqMhTtqAjoOb2uqz35198Onz4l8qG1S60R0Dvz0UlhYAuh797WiBkvjcQENzmCOj1rAIkD3JscH2ShinmKpmSBntnKaBflmrSniryOc5F6SwfB0nVqVHVqXDPg54oz1O14KQHobPMD9JOD52y8qd5Mae7l7oAPQaUD+eaAipMVakPJoGAQDJ5CvZ6ybrg26fjtYgBySFGPp4Z6ZulgA751O1Bf6rIxk2lwaQ0iplQ5jplilseP9ISlRQtaAmoISatrCLylM+v8qLyAtqrYPf/0BTQqRg0EQmaBQICxdQg9Ks0zzl/KGc2quee9DNnBqZgKpXUgPY0T3HWplyvZdm6XM6ZEupEiroFLQHl6/yVgKqyCs9c1JTxqBWgrXJd1VyrLPDSWHmfEh+HGgQEOWJKJtn9TlnffLjlUzA5iMkHEtkwouqaAwLKxk5lQdrTRr62NGSVtYDqRGWOR+MUzCyg+9fCM3IOlo+CygLay+zl+AgBeQUB7YkByYjJArrc/eHpqK0P5T31fPf74WWiMnExGZJjqOqpluz6lFkml0ZdXD0F0xLphY4KqCqr9Mz5/o+y/roALQZUjJEebu06OBtoNghoT4h+zUwX0PXpd9UC9UMZupGxkdNgEKgKpahVNBUerp9K8vCKWnySJWVDqnzO9lBeAXJSy1lVolv5at6Cqva2gJpllQZ5+/Q7ua0uoFbLKT+xoBz4NGJAF9crUKAJAtoTon8MNF1ASgTVFKyc2GhBXTOX8ny+anKmPc0LP5TxnbO2dK7Wv+6+LlPWibTS5Cvn1nlApYBaZZWeyc93buxC2fpi26Ox4QyA5oGA9sQyAjrLHqmC0KpTHrMxxnl8eFCFUk61P7SnEhVgzuc7xdUQZYD7/k/PZd+vEimqFtSLaC0BtcqqPHPOG1sV0ApC11WUDddONYLJIKA94V1AgSDymwwIaE8gIIgMBLQjxMA6GAKCECCgHYGAIDYQ0I4Qt14DDUzOAJYDAe0IBASxgYB2BAKC2CjNoM2qEVCqICCIDWmG6mtu602mZHOrgdAgIIiNQ/eEeQSUKggIYkOa4XJgBLQLBgWEgSAAxIB2BAKC2JBmOGuX+t4QULogIIiNQ/f+RggoUUT1w/gaAoL1KWJA+ldHIaBEQUAQHYUZ9O/BRECJgoAgOjgTej8I7afhNQQ0CG/PIhxu2hfNVZtMyeZWA6EZENBAeBoUm/q2gA1xkHdne38+nmsDIaBEQUAzQEDLcLhdv33JBPT2JTGg1IlUQJvo2ZwpvhByBPTICGgXIKDJECJbiswM12//6ZkY0A5AQFNhhroYrILtBIGApoOAFgMB7QQENAMEtBgsw++EOoph6kkBe9gWlpcQ0GKwDL8T6tvCIyBnENBisAy/ExDQdIauYYF5sAy/ExDQdBDQcrAMvw+E1tENXQkBDTF0ER3Mg1WwfaCfSYeAHEFAy4GA9kHEAoq/ZyOg5ZDfiHgoKL4SCAEliOh5rm1CQH0goOXIzXB66GwyJZtbDQRD9P5SbQnRwcScq6xWazACWg5pBnkmIkHotEFAM0BAy5GZ4STtc+YrWZMmVgGJOQJaqcUDZ5DDXA6362+Uev4NAaXMsICCneiCgPYOq2D7QAz8FlJAs6ZgCGj7IKB9EK2AZlTsef2stzAEtCBcDb8PEhTQjLGTuby+0hDQgnA1/D5AQOPlIaAAcDX8LjAap/XrBgXktc19M7qhi3hhLlwNvwsQkFV5xuIQ0JJwNfwuQECTmzJ0CR3MhlWwXZCqgDw2uu90ZwS0KAhoF5hPPWz9tn4Pm1XvIgIaUDUCWoLqanguxUgZBGTZFvPg0PQCeKE0w+mxs8mUbG41EIZkBeSv0T1TLQS0LKUZWIZPmoHQRv0LAmo/698MnijNcGEKljIIyLK4TpkIaFmqGNBR22RKNrcaCEm6AvLW6lHrIKAlYBVsF0QtoGkV+z4/0DzxMmsJvIGAdsHQCXa3rQjIHB1eREDG0hHQAkgznLgaPnUSFpCnZvec/2MrIOQ0EXU1fPZ44lqwlEFAboXfTO8JAloAdTX8jWX4xEFAboVXWywFtIG7K0ZKZoazGgFxImLKmPpHZ6lnowLy026zontOCeom9R2R2g3cmHAXpCAgsbaAbsJWQHVCBOQIq2B7wNgtEJC5uN4qEdACIKA9YCugtbuPHwHNbrboLcNOQPVcjViQKwhoD4z0rqr3IKCxZCP5N3Cj+8jwKSC1kvb+rGJJxYNTflgKSwFtaQTk8wzBmQLSlstm3edsl3gU0PVJKuf0IP+VDy75YTHsBLR+13ETUL90ZrYbAYXDn4DOh19nIyB5VlE2EioeXPLDciCg0WZMF5Bo/BTEgZzwJ6B//yyN85ZLqHhwyQ/LMdh1EBACCofvGFBXQPk5RrMaCTOxFdDaBvIloJntniUgfR/U/AsBubC8gOzzw1KkIKBWcCVWAQVYS9w0CGgPIKDRZtiUYGyutlHkBSEgB3wLiCB0jAyu30QnIPMQYlBA8xruIKBOUtF8DQE54v08IJbhIyRSAXVHYMWvpmnMVgTEMrwT3gV0fVJnIBYPTvlhKSIXkGlS03HQcgISMwQkWq9ZtQVD1XApxh7oPeJF62XLruGpBw0J6NZ2UFNAnRbMaJIQltnzdO1WlU969sZcDhQgoD2wTQHdGg5aUEC2cZs8oTA3Q1gLiCiRBgLaA5sSUCckXTUSAaUHAtoDWxbQrQ7SDAloRptcBWRut4uAMFAFAtoD/ce7aL1s1zNWFpAh+rthAdmGvPcBAtoDCGi4GRMF1NNsBOQAAtoD3gXkpwN5FdD0Tm0tILnfCMgvCChphBDDi8zbEFDR6es9MaeZ3AxrATUSi/Zrdi1BQDoIKGm60dueFPqvFsXuWEDDjRhvSVv5ftis0RBQ0uTddujobOnJOhbiA78Cmjy0cBLQWCMGX6heREAlCChpohZQT9RkKwIamdcOvoiAShBQ0uRHe5wC6pv49QuoPjG6T0CT5ob2Aipr6W/DyCu3xQS0VQMhoKQZF1Cr860noL5ae9xS7slQ55/4bYTTBDQSVxt+EQGVIKCkcRaQVdcIICBRPgz1XzeTTM+GgPyBgJImXgH1Vto3uFE/4xHQyLR27DXfvkBAztXACkQrINH76wwBtQNa1m1x3aGRehCQPQgoZapuO5hogoDmdqB29s0JaHyWNfwaAipAQCljdbQHEFAnt62AZsZf+rJEKSCXJs3/kxAKBJQykQqom3lUQM2Kgwto5B0df2m8PqcxDQJyrwaWJ04BGfL6E9CElsUoIOHWJATkXg0sj914f1MCmrUEZU4+KQg97WUxnkS9OraThnJds0QCAkoZuwNykoCmH+umnJYCKl/3KiAxGtNxrWOegLTvoHVpEAJyrAaWZ8oBaRsenaogYzYx/HI7aWgBjZY5+kpfkua38LvUiIAcq4HlWVJAE4/2oUUuq1K3LKDWbnbSme/4Y1njNuNACChl4hNQT6ZgAhLFF/xEIKD2rRjdBbTFk4EQUMosKqAppffOPOyrX0JAnocO43vZFVBXHhMEtMEhEAJKmdgEZDs0GCtjMJFTsyIRkGnsgoBGts2sBpZnGQGJ1qOHspcQkFXzYhGQSzE9SRGQWzWwPJEJyGJ1KGUBdSLMCAgBpc2yAnJfcLJ4yUZAw2kqAdk0L6SAeu5wOFZMX1IE5FYNLE9UArKLHK8uoPEhlTPm0kT7F1Hviw8Bjb8zMYKAUmYJAY393Z5WsH2ZtgKyGg6IGwIKCwJKme0JyGr8ZSkgy8EcAgoJAkqYSYfjqICmXSwQr4DsqnXBQidNAVkYy6JG/yZdAQSUMAjItk3BBCQGtOEqIMc8cYCAEmYJAYnJR7snAY0Gd+IUUHub8CkgYXi2ERBQwiwkoInlryWgOqxiE9C2rtYBBGQPAkoYBGTbJAQUCgSUMAhoTpOmYyi2swkB5SCghIlKQFaBG38C0vt1X/qleisCsgcBJczSAjL2NNH+Xhurcr0KqOzTQt/g3KTpdMs1bhG38rvnEdDIJgS0SaYdjXamaP0iSnpLWE9AnX69toCM453OFtVCMTBXnCKgzRkIASXMOgLqjnmCC6h0znA0aLm+aog4d5No47R5AhIIaEo1sDgLCMhgGpsJx2hjhE2iMo31fu1EQAIBTagGlmbisZiigIxZkhEQI6Ap1cDSBBPQhO6emoDGYvU2ArJt4GhdMYOA0gUB1QKyHaf5wUJAdWQcAY1vQkBbxL+AjNHmPgEJw7axWtMR0PisqNrc+81pkya3GzMQAkoX7wLqvDIkoHa3CiagvsHVkgJyCsvYC8i4627vc2wgoHRZR0B90y0EZFvRgIC67+HoqKjvM4kUBJQsU4/C3nzmY79HQHXnsQvvLC6gTq5lBaTNsGxSm18whtxG9gMBWVYDCxNaQC3zxCagJTupLwE1X7HbETFQYIQgoGTxLaC+WI85aXwCWjFYqwvIoh5HAY3syLbuEY+AUmXyQdiTsTfWY0ysvYKARpP3bhfmVGYv1bkQkO/84Mr0Y9Cc0+yZ3hfqV0RgAdn2W5/o9S4hoN7nhmyRg4ASxbOA+q00KiA7twiLNGXKTQjIQaljJXWeNsI8CGhaNbAkMw7BvrlWz+Z+X0UnoOGBg0eWF1DvzLJ/W5wgoCSZcwD2BJv70g4MmIp+aOUWBwHZ71x4Ac2tpV9Ag3M8BOQ5Pzgx6/jrZu4vrk9AWr6YBDTUn73jWUB9H4vDjDlGEFCK+BXQsGJWF5DD3g0IaPkuuriABmpAQJ7zgwvzDr++oX5P2pgF1I0XDUZO/NIbIHMtpP1Me3V4CrwFEFB6+It7WqQdTC1uCGh+Ie1nzdcR0MRqYCE8xj1HixsXkLB1y/BgyrpF7aQuoVvP+FgOH50zTrkFSUwgoNTw+Ed3vDgrAdmNBey7KwIypxjbGCUIKDX8CmiktO0JqNywhoA81DExao6APOcHW3z+0bWJ3IyMkPJTooWFXey7q4uAnBavPeOljmlBKwTkOT9Y4vWPrkVpI9qoevu4XtYSkEu4OwKmTRk3s3sIKC18HHhuo35vh/oyAurbtpkeioB6t82sBvzja9C/3jSlUa33lP0R2s300IlB883sHwJKCa8CWvkYXkRAvfk300ERUO+2mdWAN/wuLYvYu6iPdb54964FAurdNrMa8Ebx1Z2+DjrRf4p/GmzpC3MQUO+2mdWAN4TfIYu42Sybb5ktfWfptHjcZnYQAW0Y7Zw6n0MWpZ/NHMFT2IGAuvhvmg8Q0IYR9cHp0xjpC2hLe+drRTLSXUZAG6SKC2gHp8fjawcC2hAIqG/bzGpgKtVo2vKbLqaUH+nhukN8fcSRfqIIKC6sLn5oCsj7kYWAYgIB9W2bWQ2YGDtM9AX3pU7YQUBRYXUlnV05EYKA4mLk2k6hp/K9+tWuBaLA1wJWnJ8qAoqLoaOkPhAR0I7wd35pjCCguOjt/I2/g8ssvzdLh8QIcYHfOAgoKvp80vZSdTAhILCkGT2MBQQUFWafdIdFCAhcQUAwisknw9/qt0DAJqLDE/yh/l4VAornI0ZAUWG4i0PPnOy23KQ+nqMTPKINmBEQmOm/jUx3c3SjaYgboZ26Gs1hg4CiohJQfbJzX8J4jiHYBggIxigFJMopFgICX+gCiuboQUBRUXpFFP/1Hydcrw6OICAYo768a1RAEQUSYRMI7fCKxkAIKAyDa1v1BCySowSSQMwQ0FjyqUcqAgqCMLsll07nmgsAH4jGqatux9bYiBsBbYqe4Q2+gSWZI6CR8fjUwToCCkF5CFie9APgDf377FxyqZ/+10QQUAiqD6v1iSIgWBptLuUwaqmk1XtiLALaDvpnRcQHguEuoIHlk2lHLwLygOtb3xr2TBkSA8xnioB6l08QUDBcDWK+4BT/wNpYH3ONhOblEwQUinpdwe4zMKTie+AhBNME1LN8MukAXkpA78+H+9cZ+Sui7JbFnW6r9UzReOzNVeY1F+mveQB2TB2zt4/X6UP4pQR0epD/pucvGY+uL9hxjUOV8jbb1e1Dq7MHRfFyT1EL3cULYDK2Jxf2nTXbfD7l2F5IQNdvX25vX9ZDoOUEtOBFmc2iRUsupYDKsZC+ulnSSoyAIDK0Q1Tox23+B7V8Zj5q9bytDfYsJCApHykhmVXhmF/vwmKQ0QTTaRbdbeOtOZ/qHS8J7dou/AMxYT6+K/EUz/q+lrOdd8LxvbyAJuUHgD2AgAAgGAgIAIIRexAaABIm9mV4AEiYpQR0ffJ0IiIApAuXYgBAMBAQAAQDAQFAMBAQAAQDAQFAMBAQAAQDAQFAMNYSEACAFQsIyFlYK9e3IOnsSjp7wq5sDQQ0mXR2JZ09YVe2BgKaTDq7ks6esCtbAwFNJp1dSWdP2JWtgYAmk86upLMn7MrW2MdeAkCUICAACAYCAoBgICAACAYCAoBgICAACMaqAnp/bnyf9CZ5+3Q4fPhc7sqG90jd26S5G1vdG7UrKXwwch+OqXwqdqwqoNYdNTbJJd+BYle2u0fXJ3lUN3djo3uT70oCH8z16Xi73L2k8alYsqaA2vcU2ySnR/mz2JXt7tH58OviFpP1bmx0b/JdSeGDuagR3DGJT8WWNQXUvqvqFnn/e9X+Yle2u0f//lm2vbkbG92bfFdS+WCyUVASn4otCMiN67dfH+5etn+c559GIod63vA0Ppjzh8+JfCp2ICA33r54uV1/85rAwZGYgBL5YM73yXwqdiAgd9I4OBITkGT7u3LOBnGpfCp2EIR2J9uPBAKE5YGdQLhTE9C2d+Ws1tsT+VTsYBnejYscIv/qcwJLpOqgTmPBV+5KCh+MnEZK0vhU7FhVQNen7Z9SdT6ofSh2ZcN7pATU3I2t7o3alQQ+mJP65vZjIp+KHVyKAQDBQEAAEAwEBADBQEAAEAwEBO58d9R++WH0HJWfvzqOJYGdgoBgHj/+1eexJH8RyZ5HBzNBQDCPHz6OJvlRpLuMDPNAQOCMdM5fxOt3IhNL9iMbAv0ghBrlfH/8Qf2ePfsoxSPE8WblKNgpCAic+f4bJZdXaZafv8rE8332/EdpoO8y4ag5mZx1/ZA9UeEfmR7ABAICZ2QM+nupmUwxfyndIzXzF/GNGhupAVAeev7uG2LQ0A8CAldUTFkthGWakeMdOd1SEy0V7JFjoirsLOVDDBp6QUDgitSMksrPX32Tz8KE4mMR7MncJCddxeYXYtDQDwICV6RmqkCPmmKVI5w82PP9N2oW9p385cc8UgRgBgGBK1IzataVWUjFd9R0TKomP0Hxh2/yAZAKDMkZGjFo6AMBgSvfHesQkJqKyeWuH8WxHAqpBbJ8BPSD+EgMGgZAQOCIdE4eV1YmEsozyjlFsEetheUxoG/UOhkxaOgDAQFAMBAQAAQDAQFAMBAQAAQDAQFAMBAQAAQDAQFAMBAQAAQDAQFAMBAQAAQDAQFAMBAQAAQDAQFAMBAQAATj/wO4aXvdMb0+YgAAAABJRU5ErkJggg==" /></p>
<p>Comparing the pattern for average number of steps for each interval for weekdays versus weekends shows that the maximum number of steps is quite a bit lower and appears later in the day on weekends. In other words, you tend to get up later in the weekends and run around less. Sounds sweet. It is also apparent that the tendency to get moving earlier in the day is stronger on weekdays, with a sharp jump in activity around 5 o’clock.</p>
<p>Another interesting thing is that the weekday pattern flattens after the peak at 835, and that the following intervals have a lower step count than compared to the weekends. This becomes more apparent when the two lines are plotted against a common y axis in the figure that follows. Briefly put, the graph will show that, compared to weekends, you get up earlier in the morning and run around a lot more just after getting up. Then, you sit down and more or less stay in the chair before you get up and go to bed. In the weekends, you get up later, move less around just after getting up, but move around a lot more during the day. Which also sounds nice. Have a nice weekend!</p>
</div>
<div id="extra---combine-panel-plot-in-a-single-plot" class="section level3">
<h3>5.2.1 Extra - Combine panel plot in a single plot</h3>
<pre class="r"><code># Common plot for average steps per interval, distingueshed by day of week 
p4 &lt;- ggplot(dt_weekpatterns, aes(interval, steps, colour = dayofweek )) + geom_line()
p4 &lt;- p4 + theme_classic()
# p4 &lt;- p4 + facet_grid(dayofweek ~ .)

p4 &lt;- p4 + geom_text(aes(x = interval, y = steps, label = stepmax, group=NULL), data=dt_weekpatterns, hjust = -0.2)
p4 &lt;- p4 + geom_point(data=subset(dt_weekpatterns, !is.na(stepmax)), colour = &quot;red&quot;)

p4 &lt;- p4 + ggtitle(&quot;Daily pattern by 5 minute interval - Weekdays vs Weekend&quot;)
p4 &lt;- p4 + theme(axis.title = form_xlab1)
p4 &lt;- p4 + theme(plot.title = element_text(lineheight=.8, face=&quot;bold&quot;))
p4 &lt;- p4 + scale_color_manual(values=c(&quot;blue&quot;, &quot;grey&quot;))

p4 &lt;- p4 + ylim(0, 260)
plot(p4)</code></pre>
<p><img src="data:image/png;base64,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" /></p>
<pre class="r"><code>#___1.0___  Make md file
#setwd(&quot;C:/repos_github/coursera/RepData_PeerAssessment1&quot;)
#getwd()
#library(knitr)
#knit('PA1_template.Rmd')</code></pre>
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