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<title>R Programming Course Notes</title>

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6oaTspb%2B3er8ATKKeOt3p5eVppzClYYBOn2Odp%2BPd5EFy7qkbLJJVbt7ttnNvPuMTrVwn737pniGjHphl0dAmwNneGRchEI8ilxldwAAAgBq%2F%2BwEJQXLABcAJQBBQCIbESIKCgAABBEDJicOHk1ZCxQODgIUFBhLWRQHAgdNWQIZAD8rABg%2FKxESADkYLxI5KxESARc5ETMRMxEzMTABECEiJzUWMzISEyMGBiMiJjU0EjMyFhIBIgYVFBYzMjY2NTQmJgQl%2FWh0RFBm8PULDDe2csLk%2F9CV33j%2BFI%2BckJNbmVhSkwNG%2FKYUjxoBKQEzU1fo0OQBCJn%2B2wEwuKSQpUqARmmyZgAAAgCY%2F%2BMBiQRkAAsAFQAoQBQQBgYMAAAWFw4TT1kOEAkDT1kJFgA%2FKwAYPysREgE5ETMzETMxMDc0NjMyFhUUBiMiJhE0MzIVFAYjIiaYPTk6QUI5M0N2e0I5M0NqQ0VFQ0FGPwO7h4dBRj8AAgA%2F%2FvgBhQRkAAgAEgAiQBABDQ0FCQkUEwsQT1kLEAUAAC%2FNPysREgE5ETMzETMxMCUXBgIHIzYSNwM0MzIVFAYjIiYBXg8aYjV9G0ENFXd7Qjk6Pe4XZP73cmgBMlwC74eHQUZGAAABAGgA8gQpBNkABgAVQAkEAAUBBAcIAwAALy8REgEXOTEwJQE1ARUBAQQp%2FD8DwfzyAw7yAaZiAd%2BV%2Fo3%2BuAAAAgB3AcEEGQPjAAMABwAqQBUHAgQAAgAJCAQFUFkEAQBQWQ8BAQEAL10rABgvKxESATk5ETMRMzEwEzUhFQE1IRV3A6L8XgOiA1qJif5niYkAAAEAaADyBCkE2QAGABVACQUBAgAEBwgGAwAvLxESARc5MTATAQE1ARUBaAMP%2FPEDwfw%2FAYkBRgF1lf4hYv5aAAACABv%2F4wM5BcsAGwAmADlAHSEcGwAHExMAHA4EJygAACQQJB5PWSQWEApJWRAEAD8rABg%2FKxESADkYLxESARc5ETMRMxEzMTABNTQ2NzY2NTQmIyIGByc2MzIWFRQGBgcGBhUVAzQzMhYVFAYjIiYBIUhiiEeDe0%2BWYTu9zr%2FUJ0x%2BZUGyeDo%2FQDk0RAGTNnWXVHN0UmZvJTGHY7yrSW9jblZyXyH%2B14hGQkBHPwACAHn%2FRga4BbQANQA%2FAEVAIiMuNg47BxQbAAApFA4uBUBBGDg4BD0IEQsRCxErHzIDJisALzM%2FMxI5OS8vEjkyMzMRMxESARc5ETMRMzMRMxEzMTABFAYGIyImJyMGBiMiJjU0NjMyFhcDFRQzMjY1NAIkIyIEAhUQACEyNxUGIyAAERASJCEyBBIBFDMyExMmIyIGBrhYoGhWdgsIKJVmlqnswESsRRmFW3KU%2Fu%2Bx3%2F62rgFCAS%2FS4sD0%2FpX%2Bb9YBjAEA1wFPt%2Fv2w88SDkhVgpMC2Y7sgmhRV2LNsMz%2FGRb%2BKhay16y1ARCTuf6p4f7P%2FrhWhVQBjwFmAQQBlt%2B1%2FrP%2BpP4BOQEFFLQAAgAAAAAFEAW8AAcADgA5QB4CDgsIAQUAAwAHAwQHBBAPDgJJWQsFDg4EBQMABBIAPzM%2FEjkvEjkrERIBOTkRMxEzERIXOTEwIQMhAyMBMwEBAyYnBgcDBGC2%2Fba0rAJCjwI%2F%2FmWqISMWKawB0f4vBbz6RAJqAcVWfWBz%2FjsAAwDJAAAEvgW2AA4AFwAgAElAJhMEHQoPGRkOCgQHDgQhIggPGA8YSlkPDw4ADhlKWQ4SABdKWQADAD8rABg%2FKxESADkYLysREgA5ERIBFzkRMxEzETMRMzEwEyEgBBUUBgcVBBEUBCMhEyEyNjU0JiMjEREhMjY1NCYjyQGdASMBBJGLAU3%2B9%2B7%2BAqoBGLSesMD6ATGxs7e7BbauvIKpGQo5%2FtvE3ANEcYZ7bf2R%2Fd2JkoiAAAABAH3%2F7ATPBcsAFgAmQBQDDhQJDgMXGBIASVkSBAsGSVkLEwA%2FKwAYPysREgEXOREzMTABIgAREAAzMjcVBiMgABE0EiQzMhcHJgM78f7pAQ35mcSY3%2F69%2FqGpAT%2FY5qxIpgUz%2Fr%2F%2B6f7h%2Fsc3lTkBiAFp4gFUuFSSTgAAAgDJAAAFWAW2AAgAEQAoQBQOBAkABAASEwUNSlkFAwQOSlkEEgA%2FKwAYPysREgE5OREzETMxMAEQACEhESEgAAMQACEjETMgAAVY%2Fnf%2Bj%2F5rAcABVQF6tP7h%2FuX3zwEwATIC6f6W%2FoEFtv6G%2FqcBHgEi%2B3ABKwAAAQDJAAAD%2BAW2AAsAOkAfBgoKAQQACAEEDA0GCUlZBgYBAgIFSVkCAwEKSVkBEgA%2FKwAYPysREgA5GC8rERIBFzkRMxEzMTAhIREhFSERIRUhESED%2BPzRAy%2F9ewJe%2FaIChQW2l%2F4plv3mAAEAyQAAA%2FgFtgAJADJAGgYAAAEDCAEDCgsGCUlZBgYBAgIFSVkCAwESAD8%2FKxESADkYLysREgEXOREzETMxMCEjESEVIREhFSEBc6oDL%2F17Al79ogW2l%2F3plwAAAQB9%2F%2BwFPQXLABsAOkAfFAgZAgIOGwgEHB0AG0lZAAAFDAwRSVkMBAUXSVkFEwA%2FKwAYPysREgA5GC8rERIBFzkRMxEzMTABIREGBiMgABE0EiQzMhcHJiMgABEQACEyNxEhA0wB8XTwnv60%2Fo63AVjn6spCxrf%2B9f7UASEBGJiR%2FrkC%2Fv05JSYBiwFk5AFXtVaWVP7C%2Fub%2B2P7OIwHCAAEAyQAABR8FtgALADNAGQkBAQAIBAQFAAUNDAgDSVkICAUKBgMBBRIAPzM%2FMxI5LysREgE5OREzETMRMxEzMTAhIxEhESMRMxEhETMFH6r8%2FqqqAwKqArD9UAW2%2FZICbgAAAf9g%2Fn8BaAW2AA0AHUANCwgIDg8JAwAFSVkAIgA%2FKwAYPxESATkRMzEwAyInNRYzMjY1ETMRFAYMXjZHTWNnqsD%2BfxuRFHhxBbb6WL7RAAABAMkAAATpBbYACwAqQBUIBAQFBQILCgAFDQwCCAUJBgMBBRIAPzM%2FMxI5ORESARc5ETMRMzEwISMBBxEjETMRATMBBOnI%2FeuZqqoCl8n9tALFiP3DBbb9KwLV%2FYUAAQDJAAAD%2BAW2AAUAH0AOAwAABAYHAQMAA0lZABIAPysAGD8REgE5OREzMTAzETMRIRXJqgKFBbb65JoAAQDJAAAGcQW2ABMAMkAYCAUFBgsODg0GDRQVAQoRAwYLBwMOAAYSAD8zMz8zEhc5ERIBOTkRMxEzETMRMzEwIQEjFhURIxEhATMBMxEjETQ3IwEDUP4QCA6dAQABzwgB0%2F6qDgj%2BDAUQmtT8XgW2%2B0oEtvpKA66ivvryAAEAyQAABT8FtgAQAC5AFQkGBgcBDw8ABwAREgsDBw8IAwEHEgA%2FMz8zEjk5ERIBOTkRMxEzETMRMzEwISMBIxYVESMRMwEzJgI3ETMFP8L84QgQncADHQgCDgKfBMvYtPzBBbb7OhsBJT8DRwAAAgB9%2F%2BwFvgXNAAsAFwAoQBQSAAwGAAYZGAkVSVkJBAMPSVkDEwA%2FKwAYPysREgE5OREzETMxMAEQACEgABEQACEgAAEQEjMyEhEQAiMiAgW%2B%2Fp3%2BxP69%2FqEBYAFEATsBYvtz%2FfHz%2BPfy8%2F0C3f6h%2Fm4BiwFoAWUBif5w%2FqD%2B1%2F7NATIBKgEnATH%2BzQACAMkAAARoBbYACQASADRAGgoFBQYOAAYAExQKBEpZCgoGBwcSSlkHAwYSAD8%2FKxESADkYLysREgE5OREzETMRMzEwARQEISMRIxEhIAEzMjY1NCYjIwRo%2FtH%2B5qyqAXsCJP0LmeLKvsm%2BBAze7%2F3BBbb9G5KhkY4AAAIAff6kBb4FzQAPABsANEAbEAoWAAAEAwoEHB0DDQcNGUlZDQQHE0lZBQcTAD%2FGKwAYPysREgA5ERIBFzkRMxEzMTABEAIHASMBByAAERAAISAAARASMzISERACIyICBb7izgFc9%2F7jN%2F69%2FqEBYAFEATsBYvtz%2FfHz%2BPfy8%2F0C3f7n%2FoxC%2FpYBSgIBiwFoAWUBif5w%2FqD%2B1%2F7NATIBKgEnATH%2BzQACAMkAAATPBbYADAAVAEhAJQ0BAQIMCREHCwoKBwkCBBYXCQ0ADQBKWQ0NAgMDFUlZAwMLAhIAPzM%2FKxESADkYLysREgA5ERIBFzkRMxEzETMRMxEzMTABESMRISAEFRAFASMBJTMyNjU0JiMjAXOqAZEBDQEB%2FtoBjcn%2Bnv7P6bSoq73dAmD9oAW2zs%2F%2B3mb9bwJgko%2BPkYAAAQBq%2F%2BwEAgXLACQANEAbHhMMAAAYEwUEJSYMHgMWFhtJWRYEAwlJWQMTAD8rABg%2FKxESADk5ERIBFzkRMxEzMTABFAQjICc1FhYzMjY1NCYmJyYmNTQ2MzIXByYjIgYVFBYWFxYWBAL%2B6PD%2B%2FIxa1GiqrD2Pksyv%2FtHatzW1q4eYOIWJ5q0BhcHYQ6QmLIFzTGFSNEnIoanIUJRMdGdMYVExUrwAAAEAEgAABFoFtgAHACRAEgABBQEDAwgJBwMEA0lZBAMBEgA%2FPysRADMREgEXOREzMTAhIxEhNSEVIQKLqv4xBEj%2BMQUfl5cAAAEAuv%2FsBRkFtgARACVAERABCgcBBxMSEQgDBA1JWQQTAD8rABg%2FMxESATk5ETMRMzEwAREUACEgADURMxEUFjMyNjURBRn%2B0v74%2Fvj%2B36rIwrnIBbb8Tvr%2B4gEg%2FAOu%2FEa3xMW4A7gAAQAAAAAEwwW2AAoAGkALAQQMCwgDAAQDAxIAPz8zEjkREgE5OTEwATMBIwEzARYXNjcEDLf98aj99LQBUDoiJDoFtvpKBbb8TqOaoqEAAQAbAAAHTAW2ABkAJEAQGQobGhUODgUJGBEKAwEJEgA%2FMz8zMxI5OREzERIBOTkxMCEjASYmJwYHASMBMxMWFzY3ATMBFhc2NxMzBcWo%2FtkVNAEWMP7iqP57tOcwFhs1AQa0ARMwIRM15rQD00HGFISd%2FDMFtvx5vpq3rwN5%2FH%2Bbw47MA4UAAAEACAAABJYFtgALACNAEgQGBQsKAAYNDAIIBAkGAwEEEgA%2FMz8zEjk5ERIBFzkxMCEjAQEjAQEzAQEzAQSWwf53%2FnC0Aeb%2BO7wBawFutf47AoP9fQL8Arr9vQJD%2FUwAAAEAAAAABHsFtgAIACBADwQFAgUHAwkKAAUBBwMFEgA%2FPzMSORESARc5ETMxMAEBMwERIxEBMwI9AYa4%2Fhis%2Fhm6AtsC2%2FyB%2FckCLwOHAAEAUgAABD8FtgAJACtAFwgBAwcABwQBBAoLBQRJWQUDAQhJWQESAD8rABg%2FKxESARc5ETMRMzEwISE1ASE1IRUBIQQ%2F%2FBMDCP0QA7%2F8%2BAMehQSYmYX7aQABAKb%2BvAJvBbYABwAgQA4GAQQAAQAICQUCAwYBJwA%2FMz8zERIBOTkRMxEzMTABIREhFSERIQJv%2FjcByf7fASH%2BvAb6jfohAAABABcAAALdBbYAAwATtwMBBAUDAwISAD8%2FERIBOTkxMBMBIwG6AiOm%2FeAFtvpKBbYAAAEAM%2F68AfwFtgAHACBADgMAAQYABggJAAcnAwQDAD8zPzMREgE5OREzETMxMBchESE1IREhMwEh%2Ft8Byf43tgXfjfkGAAABADECJwQjBcEABgAYQAkAAwcIBQIABAIALy8zEjkREgE5OTEwEwEzASMBATEBsmMB3Zj%2BjP6yAicDmvxmAun9FwAB%2F%2Fz%2BxQOa%2F0gAAwARtQAFAQQBAgAvMxEBMxEzMTABITUhA5r8YgOe%2FsWDAAEBiQTZAxIGIQAJABO2AAQLCgaAAQAvGs0REgE5OTEwASMmJic1MxYWFwMSbkGyKMsgciwE2TTAPxVFtTUAAgBe%2F%2BwDzQRaABkAJABHQCUiCAseHhkZEggDJSYBAgseR1kCCwsAFRUPRlkVEAUaRlkFFgAVAD8%2FKwAYPysREgA5GC85KxEAMxESARc5ETMRMxEzMTAhJyMGBiMiJjUQJTc1NCYjIgcnNjYzMhYVESUyNjU1BwYGFRQWA1IhCFKjeqO5AhO6b3qJrTNRwWHEvf4Om7Gmxq9tnGdJqJsBTBAGRIF7VH8sMq7A%2FRR1qpljBwdtc1peAAIAsP%2FsBHUGFAATAB8AREAiChcXDw8MHQMMAyAhDQAMFRIRChEGAAYaRlkGFgAURlkAEAA%2FKwAYPysREgA5OREzGD8%2FERIBOTkRMxEzETMRMzEwATISERACIyImJyMHIxEzERQHMzYXIgYVFBYzMjY1NCYCrtjv8dZrsTwMI3emCAh0zKqWmqqZlpYEWv7Z%2FvL%2B8v7VT1KNBhT%2Bhn9lpIvD5%2BfH39HW0gAAAQBz%2F%2BwDiwRcABYAJkAUDwMDFQkDGBcGDUZZBhAAEkZZABYAPysAGD8rERIBFzkRMzEwBSIAERAAMzIWFwcmJiMgERQWMzI3FQYCZu7%2B%2BwEJ9U%2BeLTM3gjL%2BsqOgiZBuFAElAQwBEwEsIheNFh3%2BVsrYO5M5AAIAc%2F%2FsBDcGFAASAB8AQkAhHQYXAA4OEQYRICESFQ8AAAEBDAMJCRpGWQkQAxNGWQMWAD8rABg%2FKxESADk5ETMYPz8REgE5OREzETMzETMxMCUjBiMiAhEQEjMyFzMnJxEzESMlMjY1NTQmIyIGFRQWA5oJc%2BXX7%2FDW33cNBwSmh%2F6eqpmbqpKbmpOnASYBDwEPASyiT00Bvvnsd7nOI%2BnH48%2FS1gACAHP%2F7AQSBFwAEwAaADtAHxgKFwsDAxEKAxwbFwtGWRcXAAYGFEZZBhAADkZZABYAPysAGD8rERIAORgvKxESARc5ETMzETMxMAUiABEQADMyEhUVIRYWMzI3FQYGAyIGByE0JgJ%2F8%2F7nAQXczvD9DQW5qLGtWJ2chJ0OAj2MFAEoAQcBCQE4%2FvHeacHISpQmIQPlrJidpwAAAQAdAAADDgYfABQAOUAdFAwMEwICBwMFAxUWCg9GWQoAAQUHBUZZEwcPAxUAPz8zKxEAMxg%2FKxESATk5ETMzETMzEjkxMAEhESMRIzU3NRAhMhcHJiMiBhUVIQKe%2FummxMQBYVd1K2BEXloBFwPH%2FDkDx0s8PQGUI4UffYpHAAADACf%2BFAQxBFwAKgA3AEEAbkA%2BKxk4JQwfPQUxEwETBQIqIhwfJRkKQkMcDzUPNUZZCDtHWQoiCCoPCA8IFioqAkdZKg8oP0dZKBAWLkdZFhsAPysAGD8rABg%2FKxESADk5GC8vERI5OSsrERIAORESARc5ETMRMxEzETMRMzEwARUHFhYVFAYjIicGFRQWMzMyFhUUBCEiJjU0NjcmJjU0NjcmJjU0NjMyFwEUFjMyNjU0JiMjIgYTFBYzMjU0IyIGBDHLHCzcwDErakpawrK%2F%2Ftz%2B6NfpgHQqOUBFVWvYxlZF%2FhGWjNHJbpjHcX5agnTz9nV%2BBEhpGCNxR6HACDhVLSuWj7a%2FoJJkkhoTUDU8WiojqGy0wxT7AFlcfWtZRWwDPHN27Pd%2BAAEAsAAABEQGFAAWADNAGQ4MCAgJABYJFhcYDgkSEgRGWRIQCgAACRUAPzM%2FPysREgA5ERIBOTkRMxEzETMzMTAhETQmIyIGFREjETMRFAczNjYzMhYVEQOeeoKtn6amCAoxtXTJyQLFhoS81v3DBhT%2BKVU4T1u%2F0P01AAACAKIAAAFmBd8AAwAPACNAEQoAAAQBARARDQdIWQ0CDwEVAD8%2FzisREgE5ETMzETMxMCEjETMDNDYzMhYVFAYjIiYBVqamtDgqKDo6KCo4BEgBKTk1Njg4NzcAAAL%2Fkf4UAWYF3wAMABgALEAWEwsLDQgIGRoWEEhZFkAJDwAFRlkAGwA%2FKwAYPxrOKxESATkRMzMRMzEwEyInNRYzMjY1ETMREAM0NjMyFhUUBiMiJitfO0VDTkmmtDgqKDo6KCo4%2FhQZhxRVVwT8%2BxD%2BvAddOTU2ODg3NwABALAAAAQdBhQAEAA2QBsQDgoKCwsIBgQFCAQREgwAABAQCAgDBwsVAw8APz8zEjkvOREzPxESARc5ETkRMxEzMzEwATY3ATMBASMBBxEjETMRFAcBVCtYAWLF%2FkQB28n%2BfX2kpAgCMT1jAXf%2BLf2LAgZs%2FmYGFPzHN3MAAQCwAAABVgYUAAMAFkAJAAEBBAUCAAEVAD8%2FERIBOREzMTAhIxEzAVampgYUAAEAsAAABssEXAAjAEZAIxURERIICQAjCRIjAyQlHBYVFRIZBA0ZDUZZHxkQEw8JABIVAD8zMz8%2FMysRADMREjkYLzMzERIBFzkRMxEzETMRMzEwIRE0JiMiBhURIxE0JiMiBhURIxEzFzM2NjMgFzM2NjMyFhURBiVwdpuUpnB3nJGmhxsIL6tqAQFPCDG6d7q5AsmDg7K5%2FZwCyYODu9X9wQRIllBaulZkv9L9NQAAAQCwAAAERARcABQAMUAYABQMCAgJFAkWFQwJEBAERlkQEAoPAAkVAD8zPz8rERIAORESATk5ETMRMxEzMTAhETQmIyIGFREjETMXMzY2MzIWFREDnnqCrKCmhxsIM7hxxsgCxYaEutb9wQRIllFZv9L9NQACAHP%2F7ARiBFwADAAYAChAFBMADQcABxoZChZGWQoQAxBGWQMWAD8rABg%2FKxESATk5ETMRMzEwARAAIyImAjUQADMyAAEUFjMyNjU0JiMiBgRi%2FvLuk%2BR8AQzu5gEP%2FL2oo6OpqaWjpgIl%2FvT%2B04oBAq0BDAEr%2Fs7%2B%2B9Lc29PR2dYAAgCw%2FhQEdQRcABQAIQA%2FQCAZCwQHBwgfEggSIiMECwAPDxVGWQ8QCQ8IGwAcRlkAFgA%2FKwAYPz8%2FKxESADk5ERIBOTkRMxEzETMzMzEwBSImJyMWFREjETMXMzY2MzISERACAyIGBxUUFjMyNjU0JgKua7E8DAymhxcIQKpu2u3x7qiWApqqjqGhFE9SYFb%2BPQY0llpQ%2Ftb%2B8%2F7y%2FtUD47rLJefH5srN2wACAHP%2BFAQ3BFwADAAfAERAIgoQHRYDGhoZEBkgIRobFw8dHh4WDRMTB0ZZExANAEZZDRYAPysAGD8rERIAOTkRMxg%2FPxESATk5ETMRMzMzETMxMCUyNjc1NCYjIgYVFBYXIgIREBIzMhczNzMRIxE0NyMGAk6mmAWcqZKbmX3U7vDW4XkJGIOmCw1zd7LTJebK48%2FP2YsBKgELAQ0BLqqW%2BcwB1WRGpwABALAAAAMnBFwAEAAqQBQNCQkKCgIREgsPDQAKFQAFRlkAEAA%2FKwAYPxI5PxESATk5ETMRMzEwATIXByYjIgYVESMRMxczNjYCpEk6F0Q0hb2miRMIPawEXAyaD9ih%2FbQESMtrdAABAGr%2F7ANzBFwAJAA2QBweEwwAABgFEwQlJgweAxYWG0ZZFhAGAwlGWQMWAD8rABgvPysREgA5ORESARc5ETMRMzEwARQGIyInNRYWMzI2NTQmJy4CNTQ2MzIXByYjIgYVFBYWFxYWA3Pkztp6T7VUgoxvoZmBP9q%2Bsak7pYZ2eC1kjsOJASuZpkWaKC5TVUBbPjlVbEuGm0iHREpBLD44NUeQAAEAH%2F%2FsAqgFRgAWADRAGxAUFAkLCRIDBBgXChMQE0dZDkAQDwcARlkHFgA%2FKwAYPxrNKxEAMxESARc5ETMRMzEwJTI2NxUGBiMgEREjNTc3MxUhFSERFBYCEixSGBtpKv7CnZ1GYAE%2B%2FsJedQ0Hfw0RAU8CjFBF6v6B%2FXtjagAAAQCk%2F%2BwEOQRIABQANEAZARMHDAwKEwoVFgwNDRAIFA8QBEZZEBYLFQA%2FPysAGD8zEjkRMxESATk5ETMRMxEzMTABERQWMzI2NREzESMnIwYGIyImNREBTHqCrJ%2BmiRgJM7V0yMcESP05hoS81QJA%2B7iTUVa%2B0QLNAAABAAAAAAQCBEgACwAYQAoBCgwNBQkBDwAVAD8%2FMzkREgE5OTEwIQEzExYXMzYSEzMBAaD%2BYLLsUA4IC3XMsv5gBEj9duRENQFNAjD7uAABABcAAAYjBEgAHAAsQBQJGx0eFxYODQMEDQQIGhIJDwAIFQA%2FMz8zMxI5OREzETMzMxESATk5MTAhAyYnIwYHAyMBMxISFzM2NjcTMxMWFzM2NhMzAQQvyRM0CCgez8D%2B1a5qbwgICzESybTEOBQIBCO%2FrP7RAoM70a9f%2FX8ESP5j%2FlBLObU1AnX9i6x1JJYC3Pu4AAABACcAAAQIBEgACwAiQBEHBQYAAQUMDQkDAQgLFQQBDwA%2FMz8zEjk5ERIBFzkxMAEBMwEBMwEBIwEBIwG4%2FoO9ASEBILv%2BgwGRvP7N%2Fsq8AjECF%2F5cAaT96f3PAbz%2BRAABAAL%2BFAQGBEgAFQAkQBIJDwADFhcEDQANEkZZDRsIAA8APzI%2FKxESADkREgEXOTEwEzMTFhczNjYTMwEGBiMiJzUWMzI3NwKy8E8TCA1T5rL%2BKUa7iExKN0SrST0ESP2P1l8z9wJ8%2ByC5mxGFDMCcAAABAFIAAANtBEgACQArQBcIAQMHAAcEAQQKCwUER1kFDwEIR1kBFQA%2FKwAYPysREgEXOREzETMxMCEhNQEhNSEVASEDbfzlAlb9zwLn%2FbICXXEDVoGB%2FLoAAQA9%2FrwCwQW2ABwALEAVGRoaCxcAAA8HFAMDBwsDHR4TAwQnAD8%2FERIBFzkRMxEzMxEzETMRMzEwJRQWFxUmJjURNCYjNTY2NRE0NjMVBhURFAcVFhUB23VxvtB%2BeIJ02Lbm398MZlwCjAKqmgEvaFmNAlxgATKbrIsGwf7Z1ycMJ9cAAQHu%2FhACewYUAAMAFkAJAgMDBAUDGwAAAD8%2FERIBOREzMTABMxEjAe6NjQYU9%2FwAAQBI%2FrwCywW2AB0ALEAVFQUKEhICGQAdHQ4OGQUDHh8VJwYDAD8%2FERIBFzkRMxEzETMzETMRMzEwASY1ETQnNTIWFREUFhcVIgYVERQGBzU2NjURNDY3Agrf47jTdoJ6fs2%2Bb3RucQI%2FJ9cBJ8EGi66Z%2Fs5hWwKNWWj%2B0ZmrAowCXGYBKXJ4FAAAAQBoAlAEKQNUABcAJEARAw8YGRIMUFkDEg8GBgBQWQYALysAEBjEL8QrERIBOTkxMAEiBgc1NjMyFhcWFjMyNjcVBiMiJicmJgFSNX82ZJBEcVlCYi82gDZmjkh%2BSEtaAslDNpdtHCYcG0A5lm4hICAYAAACAJj%2BiwGJBF4AAwAOACtAFAIEBAMJCQ8QAAADDAwGT1kMEAMiAD8%2FKxESADkYLxESATkRMzMRMzEwEzMTIxMUIyImNTQ2MzIW22kzz%2BF5PDw%2FOTNGAqz73wVMh0dAP0hAAAEAvv%2FsA9sFywAbAD5AHhYIDQMDCgQAEBAECAMcHRkFAhMKDQINAg0ECwcEGQA%2FPxI5OS8vETMzETMzERIBFzkRMxEzMxEzETMxMCUGBxUjNSYCNRAlNTMVFhYXByYjIgYVFBYzMjcDy2mThcvBAYyHS44xMYVtrKKfp42O8DYGyM4gARH6Afw%2BrKQDIReMM9PZ1Ms7AAEAPwAABEQFyQAdAEhAJhgTCQ0NGhYRAgsWEwUeHwwYGRhOWQkZGRMAExBMWRMYAAVLWQAHAD8rABg%2FKxESADkYLzMrEQAzERIBFzkRMzMRMxEzMTABMhcHJiMiBhURIRUhFRQGByEVITU2NTUjNTMRNDYCqr6qPZqPe30Bpv5aQUoDG%2Fv7zcbG4AXJVIVNfIz%2B2X%2FdZIgsmo0v9N9%2FATyyzQAAAgB7AQYEFwSgABsAJwAgQA0cACIOAA4oKR8VFSUHAC8zMy8zERIBOTkRMxEzMTATNDcnNxc2MzIXNxcHFhUUBxcHJwYjIicHJzcmNxQWMzI2NTQmIyIGuEqHXodogn9miV%2BGSkqDXIlmf4Zkh1yFSoGddHSeoHJ0nQLTemuMXIVJSYVcinF2g2eHXIVHSYVciGt8cKCfcXKipAAAAQAfAAAEcQW2ABYAVkAuEg4HCwsQDAUJAgkDDBQOFQcXGAoODgcPBhISAwATFQ8THxMCDxMPEwwBFQYMGAA%2FPzMSOTkvL10REjkyMhEzETMzETMREgEXOREzETMzETMRMzEwAQEzASEVIRUhFSERIxEhNSE1ITUhATMCSAF7rv5gAQb%2BwwE9%2FsOk%2FsQBPP7EAQD%2BZbIC3wLX%2FP5%2Fqn%2F%2B9AEMf6p%2FAwIAAgHu%2FhACewYUAAMABwAkQBACBgYDBwcICQQDBAMHGwAAAD8%2FOTkvLxESATkRMzMRMzEwATMRIxEzESMB7o2NjY0GFPz4%2Fg389wACAHv%2F%2BAOWBh0AMQA9AENAJjIAEwYqHjgZGR4MBgAjBj4%2FFQM7NhwtBiEJISdHWSEVCRBHWQkAAD8rABg%2FKxESABc5ERIBFzkRMxEzETMRMzEwEzQ2NyYmNTQ2MzIWFwcmJiMiBhUUFhcWFhUUBgcWFRQGIyInNRYWMzI2NTQmJicuAjcUFhcXNjU0JicGBotWTkpUz8Ven2E1YodMdHR7mrqWUkqZ6tTagE7CUoaNMGxzjoZCkoSnMYmTuURVAylWiSUob1V5ix0ngycbO0A8VDdEl2tajSlRkoyZQZQlLUxHLjo6KzRacmJNaT0TUG9TcDkTZAACATUFDgNoBdMACwAXAB5ADAYADBIAEhgZDwMVCQAvM80yERIBOTkRMxEzMTABNDYzMhYVFAYjIiYlNDYzMhYVFAYjIiYBNTUlJjc3JiU1AX01JSU3NyUlNQVxNC4uNDIxMTI0Li40MjExAAADAGT%2F7AZEBcsAFgAmADYARkAnJxcDDy8fHxQJDxcFNzgGDAASDwwfDAIAEhASAgwSDBIbKyMTMxsEAD8zPzMSOTkvL11dETMRMxESARc5ETMRMxEzMTABIgYVFBYzMjcVBgYjIiY1NDYzMhcHJgE0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCA319h3%2BDVn0wZUbC0N2%2FgHY6bPyXyAFeysgBXsrC%2FqLQz%2F6iw2muAS2srgEqr67%2B17Cu%2FtavBCOumqiiLXwUHPHY0fY8djP%2BuMgBXsrI%2FqLKxf6m0M8BWsat%2FtOtrgEpsK4BKq%2Bu%2FtcAAAIARgMUAnEFxwAWAB8AN0AcFwYbCgEBFhYQBgMgIRwKChIZFgADEAMCAw0SHwA%2FM9RdxDMSOS8zERIBFzkRMxEzMxEzMTABJwYjIiY1NDY3NzU0IyIHJzYzMhYVESUUMzI1NQcGBgIUGFyMX2%2BapXWUZGgrcoWCif5QcMlicGcDIVRhY2ZmaQYEJ4UzYDhpef48vGS0MQQEOQACAFIAdQOqA74ABgANAClAEwMGCg0CBAsJCQQNBgQODwwFCAEALzMvMxESARc5ETMRMxEzETMxMBMBFwEBBwElARcBAQcBUgFWd%2F7fASF3%2FqoBiwFYdf7hAR91%2FqgCJwGXRf6i%2FqFHAZcbAZdF%2FqL%2BoUcBlwAAAQBoAQgEKQMXAAUAG0AMAgEEAQYHBQRQWQUCAC8vKxESATk5ETMxMAERIxEhNQQpifzIAxf98QGFigD%2F%2FwBUAdkCPwJxAgYAEAAAAAQAZP%2FsBkQFywAIABYAJgA2AF1AMycXABEREgQJLx8fDQkMEhcGNzgMEBAAAA4TDhIIEw8SHxICABMQEwISExITGysjEzMbBAA%2FMz8zEjk5Ly9dXREzETMREjkvMxEzERIBFzkRMxEzETMRMxEzMTABMzI2NTQmIyMFFAYHEyMDIxEjESEyFgE0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCAtNsUGFWXWoBslVN7qjPh5QBBaab%2B9%2FIAV7KyAFeysL%2BotDP%2FqLDaa4BLayuASqvrv7XsK7%2B1q8C%2BlNAS0GIUHse%2FnUBYv6eA3uC%2FsXIAV7KyP6iysX%2BptDPAVrGrf7Tra4BKbCuASqvrv7XAAH%2F%2BgYUBAYGkwADABG1AAUBBAECAC8zEQEzETMxMAEhNSEEBvv0BAwGFH8AAgB%2FA1wC7gXLAAwAGAAhQA4NABMGAAYZGhAKwBYDBAA%2FMxrMMhESATk5ETMRMzEwEzQ2MzIWFRQGBiMiJjcUFjMyNjU0JiMiBn%2B1goK2UpJUgrVzdVFQc3FSU3MEk4K2tYNUj1S0g1JycVNUcXIA%2F%2F8AaAABBCkEwwImAA4AAAAHANAAAP10AAEAMQJKAo0FyQAYACNAEQcTFwEBDhMABBoZChAfFwEgAD8zPzMREgEXOREzETMxMAEhNTc%2BAjU0JiMiBgcnNjMyFhUUBgcHIQKN%2FaTsWVIhUD80YkVCg5iEk1mTrgG4Akpo5lZhTDZERSYyWG%2BCcFCXiqUAAQAhAjkCjQXJACMAOUAiDwUFAAMSHgoGJCUSXRNtEwJMEwELExsTAhMTCBohHw0IIQA%2FMz8zEjkvXV1dMxESARc5ETMxMAEUBgcWFRQGIyInNRYzMjU0IyM1MzI2NTQmIyIGByc2NjMyFgJzUkSwuKiYdJN70%2Bd1d2djUENCcDhFP4xeiJ0E51BnFy%2BigI84e0SikWtPRD1EKyNaLTZ3AAEBiQTZAxIGIQAJABO2CQQKCwSACQAvGs0REgE5OTEwATY2NzMVBgYHIwGJMG8gyiyuQG8E8j6wQRVBvjQAAQCw%2FhQERARIABYANUAaBQoKCBAAExMUCBQYFwYVDxQbDQJGWQ0WCRUAPz8rABg%2FPzMREgE5OREzETMzETMRMzEwARAzMjY1ETMRIycjBiMiJyMWFREjETMBVv6rn6aIGgpv5ZZYCgqmpgF9%2Fvq91AJA%2B7iTp1xUoP7ABjQAAQBx%2FvwEYAYUAA8AJ0ASBAUBAAAFCwMQEQgIBQMPBQEFAC8zPzMSOS8REgEXOREzETMxMAEjESMRIxEGIyImNRA2MyEEYHLVcz5U2Mva6AIt%2FvwGsPlQAzMS%2BvsBBP4AAQCYAkwBiQNaAAsAF0AKBgAADQwDCU9ZAwAvKxESATkRMzEwEzQ2MzIWFRQGIyImmD44OkFCOTNDAtNCRUVCQUY%2FAAABACX%2BFAG0AAAAEgAkQBARDgsAAA4FAxMUDhERCAMQAC%2FMMjkvMxESARc5ETMRMzEwARQGIyInNRYzMjY1NCYnNzMHFgG0mZYzLS07T1FPbVhuN7T%2B32FqCWoIKDYrNRGycycAAQBMAkoB4QW2AAoAIEAOAgADAwoMCwkJAyAGAB4APzI%2FOS8REgE5OREzMzEwATMRIxE0NwYGBycBUo%2BFBhY2h0MFtvyUAkNbWhYtX2AAAgBCAxQCvgXHAAsAFwAlQBIMBhIABgAYGQ8AAxADAgMVCR8APzPEXTIREgE5OREzETMxMAEUBiMiJjU0NjMyFgUUFjMyNjU0JiMiBgK%2Bq5aSqaiXmKX9%2FltoaVxcaWdcBG%2Bkt7qho7W2onp6enp7dnYAAgBQAHUDqAO%2BAAYADQAjQBELCQQCAAMHAgoJBg4PDAUIAQAvMy8zERIBFzkRMxEzMTABAScBATcBBQEnAQE3AQOo%2Fqh1AR%2F%2B4XUBWP51%2Fqh1AR%2F%2B4XUBWAIM%2FmlHAV8BXkX%2BaRv%2BaUcBXwFeRf5p%2F%2F8ASwAABdEFtgAnAM4CgwAAACYAev8AAQcA0wMd%2FbcACbMDAhIYAD81NQD%2F%2FwAuAAAF2wW2ACcAzgI%2FAAAAJgB64gABBwBzA079twAHsgIQGAA%2FNQD%2F%2FwAaAAAGIQXJACYAdPkAACcAzgLfAAABBwDTA239twAJswMCKxgAPzU1AAACADP%2BdwNUBF4AHQAoAEFAIggUHiMBHA8cIxQEKSoAHQEMAx0dESYmIE9ZJhARC0lZESMAPysAGD8rERIAORgvX15dERIBFzkRMxEzETMxMAEVFAYHDgIVFBYzMjY3FwYjIiY1ND4CNzY2NTUTFCMiJjU0NjMyFgJOS2F5PRmEelCWYjvFxr7YI0BZNmVBtHk7PkI3M0YCrDN6lFRqS004ZHEmMIdguqpGaVlSL1h0XR8BK4dFQkBHQP%2F%2FAAAAAAUQB3MCJgAkAAABBwBC%2F8IBUgAIswIQBSYAKzX%2F%2FwAAAAAFEAdzAiYAJAAAAQcAdQCFAVIACLMCGAUmACs1%2F%2F8AAAAABRAHcwImACQAAAEHAMAAIwFSAAizAh0FJgArNf%2F%2FAAAAAAUQBy8CJgAkAAABBwDCAAQBUgAIswIYBSYAKzX%2F%2FwAAAAAFEAclAiYAJAAAAQcAaQA3AVIACrQDAiQFJgArNTX%2F%2FwAAAAAFEAcGAiYAJAAAAAcAwQA5AIEAAv%2F%2BAAAGgQW2AA8AEwBOQCwKDg4RAQAIDAEQBQUVBRQJEwYTSVkQA0lZCg1JWRAKEAoBBgMFEgEOSVkBEgA%2FKwAYPz8SOTkvLysrKxEAMxEBMxESFzkRMzMRMzEwISERIQMjASEVIREhFSERIQEhESMGgf0S%2Ff7jsAK6A8n9vAId%2FeMCRPtUAb52AdH%2BLwW2l%2F4plv3mAdICtQD%2F%2FwB9%2FhQEzwXLAiYAJgAAAAcAeQICAAD%2F%2FwDJAAAD%2BAdzAiYAKAAAAQcAQv%2B3AVIACLMBDQUmACs1%2F%2F8AyQAAA%2FgHcwImACgAAAEHAHUAPwFSAAizARUFJgArNf%2F%2FAMkAAAP4B3MCJgAoAAABBwDA%2F%2FsBUgAIswEaBSYAKzX%2F%2FwDJAAAD%2BAclAiYAKAAAAQcAaQASAVIACrQCASEFJgArNTUAAgAvAAAFSAW2AAwAFwBXQDIRFRUIBA0AABMEBgQYGRQGBwZJWREPBz8HrwfPB98HBQsDBwcECQkQSlkJAwQVSlkEEgA%2FKwAYPysREgA5GC9fXl0zKxEAMxESARc5ETMRMzMRMzEwARAAISERIzUzESEgAAMQISMRIRUhETMgBUj%2Bd%2F6P%2FnuamgGyAVEBfLX9x%2BcBe%2F6FvgJiAun%2Blv6BAomWApf%2Bif6kAkD9%2FJb%2BCv%2F%2FAMkAAAU%2FBy8CJgAwAAABBwDCAJMBUgAIswEaBSYAKzX%2F%2FwB9%2F%2BwFvgdzAiYAMQAAAQcAQgB5AVIACLMCGQUmACs1%2F%2F8Aff%2FsBb4HcwImADEAAAEHAHUBCgFSAAizAiEFJgArNf%2F%2FAH3%2F7AW%2BB3MCJgAxAAABBwDAALQBUgAIswImBSYAKzX%2F%2FwB9%2F%2BwFvgcvAiYAMQAAAQcAwgCaAVIACLMCIQUmACs1%2F%2F8Aff%2FsBb4HJQImADEAAAEHAGkA1QFSAAq0AwItBSYAKzU1AAEAhQEQBAwEmAALABlACQcJAwEJAQwNCAAZLxESATk5ETMRMzEwARcBAQcBAScBATcBA6xg%2FqABXmD%2Bnv6kZQFe%2FqBkAWEEmGP%2Bnv6gYwFf%2FqFjAWABYGX%2BnQAAAwB9%2F8MFvgX2ABMAGwAjAE5ALBYfFx4EHBQcChQAABIPBQgKBiQlFh4hGQ0hSVkPEggFBAMQDQQDGUlZBgMTAD%2FGKwAYP8YSFzkrERIAOTkREgEXOREzETMREhc5MTABEAAhIicHJzcmERAAITIXNxcHFgMQJwEWMzISARAXASYjIgIFvv6d%2FsTrlGV4bLIBYAFE0Z1heGrAtG79YHOw8%2Fj8J2UCnWqo8%2F0C3f6h%2Fm5kjU%2BaxgFtAWUBiV6HUJTK%2FpUBEJr8TFIBMgEq%2FvqaA69J%2Fs0A%2F%2F8Auv%2FsBRkHcwImADcAAAEHAEIARgFSAAizARMFJgArNf%2F%2FALr%2F7AUZB3MCJgA3AAABBwB1AM8BUgAIswEbBSYAKzX%2F%2FwC6%2F%2BwFGQdzAiYANwAAAQcAwAB9AVIACLMBIAUmACs1%2F%2F8Auv%2FsBRkHJQImADcAAAEHAGkAmAFSAAq0AgEnBSYAKzU1%2F%2F8AAAAABHsHcwImADsAAAEHAHUAMQFSAAizARIFJgArNQACAMkAAAR5BbYADAAVADZAHA0JBQUGEQAGABYXDQRKWQkVSlkNCQ0JBgcDBhIAPz8SOTkvLysrERIBOTkRMxEzETMzMTABFAQhIxEjETMRMyAEATMyNjU0JiMjBHn%2B0f7huKqq1wEZARb8%2Bqjiyr7KzAMQ4%2B7%2BwQW2%2FwDP%2FeqPpJWKAAABALD%2F7AScBh8AMABBQCIpKgUdIwAXDAwAHREqBTEyEhIqLi4mRlkuACoVDxVGWQ8WAD8rABg%2FPysREgA5GC8REgEXOREzETMRMxEzMTABFAcGBhUUFhYXFhYVFAYjIic1FhYzMjU0JicmJjU0Njc2NjU0JiMgFREjETQ2MzIWBBmPWDgbR06MZsKzvGs%2FnEjXU25%2FYEVHS0CIf%2F7sptzezuEE8odzRkMhICo5M1%2BdZaCrRZonL7ZLa0ZSe1Q%2FajU5WjVQVd%2F7TASysrud%2F%2F8AXv%2FsA80GIQImAEMAAAEGAEKOAAAIswImESYAKzX%2F%2FwBe%2F%2BwDzQYhAiYAQwAAAQYAdSsAAAizAi4RJgArNf%2F%2FAF7%2F7APNBiECJgBDAAABBgDA2AAACLMCMxEmACs1%2F%2F8AXv%2FsA80F3QImAEMAAAEGAMK9AAAIswIuESYAKzX%2F%2FwBe%2F%2BwDzQXTAiYAQwAAAQYAaeIAAAq0AwI6ESYAKzU1%2F%2F8AXv%2FsA80GhQImAEMAAAEGAMH3AAAKtAMCKBEmACs1NQADAF7%2F7AZzBFwAKQA0ADsAYUAzKgAkETA4GRkEMDkYGB8wCwAFPD0bLSctRlkZMQQxR1k4JCcRBAQOIicWNQgOCEZZFA4QAD8zKxEAMxg%2FMxI5LzkSOTMrEQAzKxEAMxESARc5ETMRMzMRMxI5OREzMTATNDY3NzU0JiMiByc2NjMyFhc2NjMyEhUVIRIhMjY3FQYGIyAnBgYjIiY3FBYzMjY1NQcGBgEiBgchNCZe%2BP64dHeQozRKx2KCpSk1q27A6P1DCAE6W51UVpVl%2Ft99UcWGo7mua1iRqJ66pAO9eYsLAgeAAS%2BhswgGRIF7VH8pNVdfWGD%2B9d5r%2FnUjJ5QmIel%2FaqqXX1mpmmMHCG0CMqaenKgA%2F%2F8Ac%2F4UA4sEXAImAEUAAAAHAHkBRgAA%2F%2F8Ac%2F%2FsBBIGIQImAEcAAAEGAEK1AAAIswIcESYAKzX%2F%2FwBz%2F%2BwEEgYhAiYARwAAAQYAdU4AAAizAiQRJgArNf%2F%2FAHP%2F7AQSBiECJgBHAAABBgDA9wAACLMCKREmACs1%2F%2F8Ac%2F%2FsBBIF0wImAEcAAAEGAGkKAAAKtAMCMBEmACs1Nf%2F%2F%2F9oAAAFjBiECJgC9AAABBwBC%2FlEAAAAIswEFESYAKzX%2F%2FwCpAAACMgYhAiYAvQAAAQcAdf8gAAAACLMBDREmACs1%2F%2F%2F%2FswAAAlUGIQImAL0AAAEHAMD%2BpwAAAAizARIRJgArNf%2F%2F%2F%2BwAAAIfBdMCJgC9AAABBwBp%2FrcAAAAKtAIBGREmACs1NQACAHH%2F7ARiBiEAGwAmAEpAKyEGDBwcAAAYGRYOERMQBgknKAkfRlkLAxYRGQ4PBRQJCQMXFAEDJEZZAxYAPysAGD8zEjkvEhc5EjkrERIBFzkRMxEzETMxMAEQACMiADU0ADMyFzcmJwUnNyYnNxYXNxcHFhIDNCYjIBEUFjMyNgRi%2Fvv33v7pAQfc4mQIOc3%2B8UnpXF5FnGbuTM%2BYpai0nP6vr6KvoQIz%2Fuf%2B0gEN4uYBBnkE1r%2BbbIU%2BMXVJS4prd4%2F%2Bcv7ok6r%2BmKe3yQD%2F%2FwCwAAAERAXdAiYAUAAAAQYAwg4AAAizAR4RJgArNf%2F%2FAHP%2F7ARiBiECJgBRAAABBgBC1AAACLMCGhEmACs1%2F%2F8Ac%2F%2FsBGIGIQImAFEAAAEGAHVWAAAIswIiESYAKzX%2F%2FwBz%2F%2BwEYgYhAiYAUQAAAQYAwA4AAAizAicRJgArNf%2F%2FAHP%2F7ARiBd0CJgBRAAABBgDC8QAACLMCIhEmACs1%2F%2F8Ac%2F%2FsBGIF0wImAFEAAAEGAGkbAAAKtAMCLhEmACs1NQADAGgA%2FAQpBKgAAwAPABsAM0AYFgoKEAQCBAEDHB0ZExMBBw0NAQEAUFkBAC8rEQAzGC8zETMvMxESARc5ETMzETMxMBM1IRUBNDYzMhYVFAYjIiYRNDYzMhYVFAYjIiZoA8H9rjs2NDo7MzQ9OzY0OjszND0CjYqK%2Fug8PT86OUA%2FAvQ8PT86OUA%2FAAMAc%2F%2B8BGIEhwATABsAIwBLQCkXHxwUFAocAAASDwUICgYkJRYeIRkNGUZZDxIIBQQDEA0QAyFGWQYDFgA%2FxisAGD%2FGEhc5KxESADk5ERIBFzkRMxEzERI5OTEwARAAIyInByc3JhEQADMyFzcXBxYFFBcBJiMiBgU0JwEWMzI2BGL%2B8u6acFRyXoEBDO6adFR1YX%2F8vTUB0Utyo6YClzP%2BL0dxo6kCJf70%2FtNFdU6DmAEAAQwBK0x3TIWY%2BatmAoY11tSkZP19M9sA%2F%2F8ApP%2FsBDkGIQImAFcAAAEGAELEAAAIswEWESYAKzX%2F%2FwCk%2F%2BwEOQYhAiYAVwAAAQYAdXEAAAizAR4RJgArNf%2F%2FAKT%2F7AQ5BiECJgBXAAABBgDAEgAACLMBIxEmACs1%2F%2F8ApP%2FsBDkF0wImAFcAAAEGAGkhAAAKtAIBKhEmACs1Nf%2F%2FAAL%2BFAQGBiECJgBbAAABBgB1EgAACLMBHxEmACs1AAIAsP4UBHUGFAAWACIAPkAfIAYbFBAQEQYRJCMSABEbDBYJAwkeRlkJFgMXRlkDEAA%2FKwAYPysREgA5ORg%2FPxESATk5ETMRMzMRMzEwATY2MzISERACIyInIxcWFREjETMRFAclIgYHFRQWMyARNCYBWEKqatfw8dbeegwECKamBgFIqJgCmqoBL5QDtFlP%2FtT%2B9f70%2FtOhIk0%2F%2FjUIAP4uNFobuMkp58cBsNfR%2F%2F8AAv4UBAYF0wImAFsAAAEGAGm1AAAKtAIBKxEmACs1NQABALAAAAFWBEgAAwAWQAkAAQEFBAIPARUAPz8REgE5ETMxMCEjETMBVqamBEgAAgB9%2F%2BwG5wXNABQAHwBTQC4YBg8TEx0ADREdBgUgIQ8SSVkPDwALCw5JWQsDCRVJWQkEAxtJWQMSABNJWQASAD8rABg%2FKwAYPysAGD8rERIAORgvKxESARc5ETMRMxEzMTAhIQYjIAAREAAhMhchFSERIRUhESEBIgAREAAzMjcRJgbn%2FQBmXP65%2Fp8BXAFAZloDDv2zAif92QJN%2FET5%2Fv8BAfdwV1cUAYkBagFoAYYXl%2F4plv3mBJ3%2Bz%2F7Z%2Ftf%2BzSEEdR4AAwBx%2F%2BwHHwRaAB4AKgAxAFVALR8IDgIWFiUvFRUcJQgEMjMrKAsoRlkuFkZZAgUOCy4uBRELEBgiBSJGWQAFFgA%2FMysRADMYPzMSOS8SORI5KysRADMREgEXOREzETMSOTkRMzEwBSAnBgYjIgAREAAzMhYXNjYzMhIVFSESITI2NxUGBgEUFjMyNjU0JiMiBiUiBgchNCYFlv7bfT7Rid%2F%2B9AEG64PNPjrAfsnu%2FScIAUpeoVdYmPshmKejmZulppUER3%2BRDAIghBTrdHcBMQEIAQkBLHdycHn%2B9%2BJp%2FncjJ5QnIAI509vV0d3V2Niknp6kAAEBDATZA64GIQAOABhACQcAEA8LBIAOCQAvMxrNMhESATk5MTABNjY3MxYWFxUjJicGByMBDH9mF6YWbX13WIWIU3ME8IiAKSqFghc3g4Y0AAACAW8E2QMtBoUACwAXAB5ADBIGDAAGABgZDwkVAwAvM8wyERIBOTkRMxEzMTABFAYjIiY1NDYzMhYHNCYjIgYVFBYzMjYDLXtmZXh5ZGV8bEIzM0I8OTRBBbJid3ViYnN3Xjg9PTg4PT0AAQEIBNkD8AXdABcAJEAPCRUYGREABQwADAAMFYAJAC8azDk5Ly8RMxEzERIBOTkxMAEiLgIjIgYHIzY2MzIeAjMyNjczBgYDFCtST0kiMjMOYg1zWy5WTkggMTAPYw1xBNslLSU8PXmJJS0lOz55iQAAAQBSAdkDrgJxAAMAEbUAAgQFAAEALzMREgE5OTEwEzUhFVIDXAHZmJgAAQBSAdkHrgJxAAMAEbUAAgQFAAEALzMREgE5OTEwEzUhFVIHXAHZmJgAAQAZA8EBRAW2AAcAErYBBQgJAAQDAD%2FNERIBOTkxMBMnNhI3MwYHJQwWYjh7QiUDwRZaAQx5%2FvcAAAEAGQPBAUQFtgAHABK2BQEICQUHAwA%2FxhESATk5MTABFwYCByMSNwE1DxpiNXpGIAW2FmT%2B93IBHdgA%2F%2F8AP%2F74AW0A7gIGAA8AAAACABkDwQK0BbYABwAPABpADAQBDQkEEBEACAMMAwA%2FM80yERIBFzkxMAEnNhMzBgIHISc2EjczBgcBlg84enseOw391wwWYjh7QiUDwRbXAQhz%2Ft9hFloBDHn%2B9wAAAgAZA8ECtAW2AAcAEAAaQAwJDQEFBBESDQUQBwMAPzPGMhESARc5MTABFwYCByMSNyEXBgIHIzYSNwE1DxpiNXpGIAInDhhgOH0aQg0FthZk%2FvdyAR3YFlv%2B9npkATRdAP%2F%2FABn%2B%2BQK0AO4BBwDJAAD7OAAgtwEAB0ANDUgHuP%2FAswwMSAe4%2F8CzCQlIBwARKysrNTUAAQCkAfQCXgPjAAsAE7YGAAAMDQkDAC%2FNERIBOREzMTATNDYzMhYVFAYjIiakcWxpdHNqa3IC7Hl%2BfHt3gYMAAAEAUgB1Ah8DvgAGABpACgQCAwYCBggHBQEALy8REgE5OREzETMxMBMBFwEBBwFSAVZ3%2Ft8BIXf%2BqgInAZdF%2FqL%2BoUcBlwABAFAAdQIdA74ABgAaQAoDAAQCAAIIBwUBAC8vERIBOTkRMxEzMTABAScBATcBAh3%2BqHUBH%2F7hdQFYAgz%2BaUcBXwFeRf5pAAAB%2FnkAAAKPBbYAAwATtwAFAgQDAwISAD8%2FEQEzETMxMAEBIwECj%2Fx5jwOHBbb6SgW2AAEAP%2F%2FsBIkFywAmAHFAPx0XHxYWGgsCBwcaJBEEChoXBicoCxcYF05ZCBgFHR4dTlkCHg8eHx4vHgMJAxgeGB4TIiIATFkiBxMOTFkTGQA%2FKwAYPysREgA5ORgvL19eXREzKxEAMxEzKxEAMxESARc5ETMRMzMRMxEzETMxMAEgAyEVIQcVFyEVIRYWMzI3FQYjIgADIzUzJzU3IzUzEgAzMhcHJgMb%2FsFPAf799AICAc%2F%2BQSXLqpyZkqvt%2Ft8uppgCApikJwEk7cmlR6YFNf5tgTlALYG0xUKWQQENAQGBKixQgQEFASRhi1YAAQBoAo0EKQMXAAMAFUAJAgAFBAEAUFkBAC8rERIBOTkxMBM1IRVoA8ECjYqK%2F%2F8AHQAABBwGHwAmAEgAAAAHAEsCtgAA%2F%2F8AHQAABAwGHwAmAEgAAAAHAE4CtgAAAAIAFAJKArQFvAAKABQAPEAfFAULBwMDCQIAAgUDFRYBBQUJDxQfFAIUFAMOBx8DIAA%2FPzMSOS9dMzMRMxESARc5ETMzETMzETMxMAEjFSM1ITUBMxEzITU0Nw4DBwcCtH2R%2Fm4BmIt9%2FvIGBRgeHguoAxTKymUCQ%2F3Nw4ZLDCctLRH2%2F%2F8AHQAABtMGHwAnAEgCsAAAACYASAAAAAcASwVtAAD%2F%2FwAdAAAGwwYfACcASAKwAAAAJgBIAAAABwBOBW0AAP%2F%2FAB0AAAXEBh8AJwBIArYAAAAGAEgAAAABAMkAAAFzBbYAAwARtgAEBQEDABIAPz8REgE5MTAzETMRyaoFtvpKAP%2F%2FAAUAAAGOB3MCJgDXAAABBwBC%2FnwBUgAIswEFBSYAKzX%2F%2FwCzAAACPAdzAiYA1wAAAQcAdf8qAVIACLMBDQUmACs1%2F%2F%2F%2FxwAAAmkHcwImANcAAAEHAMD%2BuwFSAAizARIFJgArNf%2F%2FAAUAAAI4ByUCJgDXAAABBwBp%2FtABUgAKtAIBGQUmACs1NQABAAAA3ACKABYAVgAFAAIAEAAvAFwAAAEOAPgAAwABAAAAHwAfAB8AHwBRAHcA%2FwF7AewCagKDAq4C2QMVA0EDXwN0A5YDrwPxBBoEWwS5BPsFRgWjBcUGNAaRBscG%2BwcbB0QHZAe7CEEIgAjbCRkJVQmKCbgKCAo5CmEKkAquCuwLIwtpC6YL%2BQxGDJkMvQzxDRgNXA2MDbMN3w4DDhwOPw5gDnYOlQ7xD0YPgQ%2FUECEQYRD1ETMRYRGfEd0R9BJMEoYSxxMcE3AToxP1FDUUchSZFOQVFBVNFXkVuxXTFhgWUhZSFoMWzhcgF24XwhfnGGIYmBkUGWEZnBm6GcIaTBpiGpoaphrgGzAbTxuOG74b4BwSHDkcchyqHMAc1RzrHUgdWR1qHXsdjB2eHaod%2BB4EHhUeJh43HkkeoR6yHsMe1B7lHvYfCB82H6Efsh%2FDH9Qf5h%2F3IDkgoCCwIMAg0CDgIPEhAiGNIZkhqSG5Ickh2iHrIfwiDSIfIocilyKnIrcixyLXIugjLiOUI6QjtCPEI9Uj5SQ8JE0kZCTHJUElaiWfJdgl7SYCJh8mPSZFJnQmpSa%2FJt8nAicmJz8ntSfMJ9gn5CgmKDYoRihSKGcoeCiJKJoorAAAAAEAAAABGZq3gNbUXw889QAJCAAAAAAAyTUxiwAAAADJ6ExM%2B5r91QmiCGIAAAAJAAIAAAAAAAAEzQDBAAAAAAQUAAACFAAAAiMAmAM1AIUFKwAzBJMAgwaWAGgF1wBxAcUAhQJeAFICXgA9BGoAVgSTAGgB9gA%2FApMAVAIhAJgC8AAUBJMAZgSTALwEkwBkBJMAXgSTACsEkwCFBJMAdQSTAF4EkwBoBJMAagIhAJgCIQA%2FBJMAaASTAHcEkwBoA28AGwcxAHkFEAAABS8AyQUMAH0F1QDJBHMAyQQhAMkF0wB9BecAyQIj%2F2AE6QDJBCcAyQc5AMkGCADJBjsAfQTRAMkGOwB9BPIAyQRkAGoEbQASBdMAugTDAAAHaAAbBJ4ACAR7AAAEkQBSAqIApgLwABcCogAzBFYAMQOW%2F%2FwEngGJBHMAXgTnALADzwBzBOcAcwR9AHMCtgAdBGIAJwTpALACBgCiAgb%2FkQQzALACBgCwB3EAsATpALAE1QBzBOcAsATnAHMDRACwA9EAagLTAB8E6QCkBAIAAAY5ABcEMQAnBAgAAgO%2BAFIDCAA9BGgB7gMIAEgEkwBoAhQAAAIjAJgEkwC%2BBJMAPwSTAHsEkwAfBGgB7gQhAHsEngE1BqgAZALVAEYD%2BgBSBJMAaAKTAFQGqABkBAD%2F%2BgNtAH8EkwBoAscAMQLHACEEngGJBPQAsAU9AHECIQCYAdEAJQLHAEwDAABCA%2FoAUAY9AEsGPQAuBj0AGgNvADMFEAAABRAAAAUQAAAFEAAABRAAAAUQAAAG%2FP%2F%2BBQwAfQRzAMkEcwDJBHMAyQRzAMkFxwAvBggAyQY7AH0GOwB9BjsAfQY7AH0GOwB9BJMAhQY7AH0F0wC6BdMAugXTALoF0wC6BHsAAATjAMkE%2BgCwBHMAXgRzAF4EcwBeBHMAXgRzAF4EcwBeBt0AXgPPAHMEfQBzBH0AcwR9AHMEfQBzAgb%2F2gIGAKkCBv%2BzAgb%2F7ATFAHEE6QCwBNUAcwTVAHME1QBzBNUAcwTVAHMEkwBoBNUAcwTpAKQE6QCkBOkApATpAKQECAACBOcAsAQIAAICBgCwB2IAfQeJAHEEvAEMBJ4BbwS8AQgEAABSCAAAUgFcABkBXAAZAfYAPwLNABkCzQAZAz0AGQMCAKQCbwBSAm8AUAEK%2FnkEuAA%2FBJMAaAS8AB0EvAAdAscAFAd1AB0HdQAdBW0AHQI7AMkABQCz%2F8cABQABAAAIjf2oAAAJrPua%2FnsJogABAAAAAAAAAAAAAAAAAAAA2AADBLYBkAAFAAgFmgUzAAABHwWaBTMAAAPRAGYB8QgCAgsGBgMFBAICBOAAAu9AACBbAAAAKAAAAAAxQVNDAEAAIP%2F9Bh%2F%2BFACECI0CWCAAAZ8AAAAABEgFtgAAACAAAwAAAAEAAwABAAAADAAEALgAAAAqACAABAAKAEgASQB%2BAMsAzwD%2FATEBUwLGAtoC3CAUIBogHiAiIDogRCB0IKwiEv%2F%2FAAAAIABJAEoAoADMANABMQFSAsYC2gLcIBMgGCAcICIgOSBEIHQgrCIS%2F%2F%2F%2F4wCO%2F%2BL%2FwQAM%2F73%2FjP9s%2Ffr95%2F3m4LDgreCs4Kngk%2BCK4F%2FgI96%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%2BAYiMgECOKsQwMinBFYCCwAFBYsAFhuP%2B6ixuwRoxZsBBgaAE6WS0sIEWwAyVGUkuwE1FbWLACJUYgaGGwAyWwAyU%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%2F%2BCxNCAbszMANABZREQtLLAWQ1iwAyZFilhkZrAfYBtksCBgZiBYGyGwQFmwAWFZI1hlWbApI0QjELAp4BshISEhIVktLLACQ1RYS1MjS1FaWDgbISFZGyEhISFZLSywFkNYsAQlRWSwIGBmIFgbIbBAWbABYSNYG2VZsCkjRLAFJbAIJQggWAIbA1mwBCUQsAUlIEawBCUjQjywBCWwByUIsAclELAGJSBGsAQlsAFgI0I8IFgBGwBZsAQlELAFJbAp4LApIEVlRLAHJRCwBiWwKeCwBSWwCCUIIFgCGwNZsAUlsAMlQ0iwBCWwByUIsAYlsAMlsAFgQ0gbIVkhISEhISEhLSwCsAQlICBGsAQlI0KwBSUIsAMlRUghISEhLSwCsAMlILAEJQiwAiVDSCEhIS0sRSMgRRggsABQIFgjZSNZI2ggsEBQWCGwQFkjWGVZimBELSxLUyNLUVpYIEWKYEQbISFZLSxLVFggRYpgRBshIVktLEtTI0tRWlg4GyEhWS0ssAAhS1RYOBshIVktLLACQ1RYsEYrGyEhISFZLSywAkNUWLBHKxshISFZLSywAkNUWLBIKxshISEhWS0ssAJDVFiwSSsbISEhWS0sIIoII0tTiktRWlgjOBshIVktLACwAiVJsABTWCCwQDgRGyFZLSwBRiNGYCNGYSMgECBGimG4%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%2BsQECBgywCiNlQrALI0IBsAEjPwCwAiM%2FsQECBgywBiNlQrAHI0KwARYBLSywgLACQ1CwAbACQ1RbWCEjELAgGskbihDtWS0ssFkrLSyKEOUtQJkJIUggVSABHlUfSANVHx4BDx4%2FHq8eA01LJh9MSzMfS0YlHyY0EFUlMyRVGRP%2FHwcE%2Fx8GA%2F8fSkkzH0lGJR8TMxJVBQEDVQQzA1UfAwEPAz8DrwMDR0YZH%2BtGASMzIlUcMxtVFjMVVREBD1UQMw9VDw9PDwIfD88PAg8P%2Fw8CBgIBAFUBMwBVbwB%2FAK8A7wAEEAABgBYBBQG4AZCxVFMrK0u4B%2F9SS7AJUFuwAYiwJVOwAYiwQFFasAaIsABVWltYsQEBjlmFjY0AQh1LsDJTWLAgHVlLsGRTWLAQHbEWAEJZc3MrK15zdHUrKysrK3Qrc3QrKysrKysrKysrKysrc3QrKysYXgAAAAYUABcATgW2ABcAdQW2Bc0AAAAAAAAAAAAAAAAAAARIABQAkQAA%2F%2BwAAAAA%2F%2BwAAAAA%2F%2BwAAP4U%2F%2BwAAAW2ABP8lP%2Ft%2FoX%2F6v6p%2F%2BwAGP68AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAAAAAAAAIsAgQDdAJgAjwCOAJkAiACBAQ8AigAAAAAAAQAAHowAAQUVGAAACgZ%2BAAUAJP9xAAUANgApAAUAOAApAAUAOQApAAUAOwAUAAUAQ%2F%2BuAAUARf%2BFAAUARv%2BFAAUAR%2F%2BFAAUASf%2FDAAUAT%2F%2FDAAUAUP%2FDAAUAUf%2BFAAUAUv%2FDAAUAU%2F%2BFAAUAVP%2FDAAUAVf%2FDAAUAV%2F%2FDAAUAgf9xAAUAgv9xAAUAg%2F9xAAUAhP9xAAUAhf9xAAUAhv9xAAUAmgAUAAUAnf%2BFAAUAnv%2BuAAUAn%2F%2BuAAUAoP%2BuAAUAof%2BuAAUAov%2BuAAUAo%2F%2BuAAUApP%2BFAAUApf%2BFAAUApv%2BFAAUAp%2F%2BFAAUAqP%2BFAAUAr%2F%2BFAAUAsP%2BFAAUAsf%2BFAAUAsv%2BFAAUAs%2F%2BFAAUAtf%2BFAAUAtv%2FDAAUAt%2F%2FDAAUAuP%2FDAAUAuf%2FDAAUAv%2F%2BFAAoAJP9xAAoANgApAAoAOAApAAoAOQApAAoAOwAUAAoAQ%2F%2BuAAoARf%2BFAAoARv%2BFAAoAR%2F%2BFAAoASf%2FDAAoAT%2F%2FDAAoAUP%2FDAAoAUf%2BFAAoAUv%2FDAAoAU%2F%2BFAAoAVP%2FDAAoAVf%2FDAAoAV%2F%2FDAAoAgf9xAAoAgv9xAAoAg%2F9xAAoAhP9xAAoAhf9xAAoAhv9xAAoAmgAUAAoAnf%2BFAAoAnv%2BuAAoAn%2F%2BuAAoAoP%2BuAAoAof%2BuAAoAov%2BuAAoAo%2F%2BuAAoApP%2BFAAoApf%2BFAAoApv%2BFAAoAp%2F%2BFAAoAqP%2BFAAoAr%2F%2BFAAoAsP%2BFAAoAsf%2BFAAoAsv%2BFAAoAs%2F%2BFAAoAtf%2BFAAoAtv%2FDAAoAt%2F%2FDAAoAuP%2FDAAoAuf%2FDAAoAv%2F%2BFAAsALAC4AA8AJv%2BaAA8AKv%2BaAA8AMf%2BaAA8AM%2F%2BaAA8ANv9xAA8AN%2F%2FXAA8AOP%2BFAA8AOf%2BFAA8AO%2F%2BFAA8AiP%2BaAA8Aj%2F%2BaAA8AkP%2BaAA8Akf%2BaAA8Akv%2BaAA8Ak%2F%2BaAA8Alf%2BaAA8Alv%2FXAA8Al%2F%2FXAA8AmP%2FXAA8Amf%2FXAA8Amv%2BFAA8Avv%2BaABAANv%2BuABEAJv%2BaABEAKv%2BaABEAMf%2BaABEAM%2F%2BaABEANv9xABEAN%2F%2FXABEAOP%2BFABEAOf%2BFABEAO%2F%2BFABEAiP%2BaABEAj%2F%2BaABEAkP%2BaABEAkf%2BaABEAkv%2BaABEAk%2F%2BaABEAlf%2BaABEAlv%2FXABEAl%2F%2FXABEAmP%2FXABEAmf%2FXABEAmv%2BFABEAvv%2BaACQABf9xACQACv9xACQAJv%2FXACQAKv%2FXACQALAEKACQAMf%2FXACQAM%2F%2FXACQANv9xACQAOP%2BuACQAOf%2BuACQAO%2F%2BFACQAiP%2FXACQAj%2F%2FXACQAkP%2FXACQAkf%2FXACQAkv%2FXACQAk%2F%2FXACQAlf%2FXACQAmv%2BFACQAvv%2FXACQAxv9xACQAyf9xACUAD%2F%2BuACUAEf%2BuACUAJP%2FXACUANv%2FDACUAOP%2FsACUAOf%2FsACUAOv%2FXACUAO%2F%2FsACUAPP%2FsACUAgf%2FXACUAgv%2FXACUAg%2F%2FXACUAhP%2FXACUAhf%2FXACUAhv%2FXACUAmv%2FsACUAx%2F%2BuACUAyv%2BuACYAJv%2FXACYAKv%2FXACYAMf%2FXACYAM%2F%2FXACYAiP%2FXACYAj%2F%2FXACYAkP%2FXACYAkf%2FXACYAkv%2FXACYAk%2F%2FXACYAlf%2FXACYAvv%2FXACcAD%2F%2BuACcAEf%2BuACcAJP%2FXACcANv%2FDACcAOP%2FsACcAOf%2FsACcAOv%2FXACcAO%2F%2FsACcAPP%2FsACcAgf%2FXACcAgv%2FXACcAg%2F%2FXACcAhP%2FXACcAhf%2FXACcAhv%2FXACcAmv%2FsACcAx%2F%2BuACcAyv%2BuACgALAB7ACkAD%2F%2BFACkAEf%2BFACkAIgApACkAJP%2FXACkAgf%2FXACkAgv%2FXACkAg%2F%2FXACkAhP%2FXACkAhf%2FXACkAhv%2FXACkAx%2F%2BFACkAyv%2BFAC0AJv%2FXAC0AKv%2FXAC0AMf%2FXAC0AM%2F%2FXAC0AiP%2FXAC0Aj%2F%2FXAC0AkP%2FXAC0Akf%2FXAC0Akv%2FXAC0Ak%2F%2FXAC0Alf%2FXAC0Avv%2FXAC4ABf9cAC4ACv9cAC4AJv%2FXAC4AKv%2FXAC4AMf%2FXAC4AM%2F%2FXAC4ANv%2FXAC4AN%2F%2FsAC4AOP%2FXAC4AOf%2FXAC4AO%2F%2FDAC4AiP%2FXAC4Aj%2F%2FXAC4AkP%2FXAC4Akf%2FXAC4Akv%2FXAC4Ak%2F%2FXAC4Alf%2FXAC4Alv%2FsAC4Al%2F%2FsAC4AmP%2FsAC4Amf%2FsAC4Amv%2FDAC4Avv%2FXAC4Axv9cAC4Ayf9cADEAD%2F%2BuADEAEf%2BuADEAJP%2FXADEANv%2FDADEAOP%2FsADEAOf%2FsADEAOv%2FXADEAO%2F%2FsADEAPP%2FsADEAgf%2FXADEAgv%2FXADEAg%2F%2FXADEAhP%2FXADEAhf%2FXADEAhv%2FXADEAmv%2FsADEAx%2F%2BuADEAyv%2BuADIAD%2F72ADIAEf72ADIAJP%2BaADIAOv%2FXADIAPP%2FsADIAgf%2BaADIAgv%2BaADIAg%2F%2BaADIAhP%2BaADIAhf%2BaADIAhv%2BaADIAx%2F72ADIAyv72ADMAD%2F%2BuADMAEf%2BuADMAJP%2FXADMANv%2FDADMAOP%2FsADMAOf%2FsADMAOv%2FXADMAO%2F%2FsADMAPP%2FsADMAgf%2FXADMAgv%2FXADMAg%2F%2FXADMAhP%2FXADMAhf%2FXADMAhv%2FXADMAmv%2FsADMAx%2F%2BuADMAyv%2BuADYAD%2F%2BFADYAEP%2BuADYAEf%2BFADYAIgApADYAJP9xADYAJv%2FXADYAKv%2FXADYAMf%2FXADYAM%2F%2FXADYANgApADYAQ%2F9cADYARf9xADYARv9xADYAR%2F9xADYASf9xADYAT%2F%2BaADYAUP%2BaADYAUf9xADYAUv%2BaADYAU%2F9xADYAVP%2BaADYAVf%2BFADYAV%2F%2BaADYAWP%2FXADYAWf%2FXADYAWv%2FXADYAW%2F%2FXADYAXP%2BuADYAgf9xADYAgv9xADYAg%2F9xADYAhP9xADYAhf9xADYAhv9xADYAiP%2FXADYAj%2F%2FXADYAkP%2FXADYAkf%2FXADYAkv%2FXADYAk%2F%2FXADYAlf%2FXADYAnf9xADYAnv9cADYAn%2F9cADYAoP9cADYAof9cADYAov9cADYAo%2F9cADYApP9xADYApf9xADYApv9xADYAp%2F9xADYAqP9xADYAr%2F9xADYAsP9xADYAsf9xADYAsv9xADYAs%2F9xADYAtf9xADYAtv%2BaADYAt%2F%2BaADYAuP%2BaADYAuf%2BaADYAuv%2FXADYAvv%2FXADYAv%2F9xADYAw%2F%2BuADYAxP%2BuADYAx%2F%2BFADYAyv%2BFADcAD%2F%2FXADcAEf%2FXADcAJP%2FsADcAgf%2FsADcAgv%2FsADcAg%2F%2FsADcAhP%2FsADcAhf%2FsADcAhv%2FsADcAx%2F%2FXADcAyv%2FXADgAD%2F%2BaADgAEf%2BaADgAIgApADgAJP%2BuADgAJv%2FsADgAKv%2FsADgAMf%2FsADgAM%2F%2FsADgAQ%2F%2FXADgARf%2FXADgARv%2FXADgAR%2F%2FXADgASf%2FsADgAT%2F%2FsADgAUP%2FsADgAUf%2FXADgAUv%2FsADgAU%2F%2FXADgAVP%2FsADgAVf%2FsADgAV%2F%2FsADgAgf%2BuADgAgv%2BuADgAg%2F%2BuADgAhP%2BuADgAhf%2BuADgAhv%2BuADgAiP%2FsADgAj%2F%2FsADgAkP%2FsADgAkf%2FsADgAkv%2FsADgAk%2F%2FsADgAlf%2FsADgAnf%2FXADgAnv%2FXADgAn%2F%2FXADgAoP%2FXADgAof%2FXADgAov%2FXADgAo%2F%2FXADgApP%2FXADgApf%2FXADgApv%2FXADgAp%2F%2FXADgAqP%2FXADgAr%2F%2FXADgAsP%2FXADgAsf%2FXADgAsv%2FXADgAs%2F%2FXADgAtf%2FXADgAtv%2FsADgAt%2F%2FsADgAuP%2FsADgAuf%2FsADgAvv%2FsADgAv%2F%2FXADgAx%2F%2BaADgAyv%2BaADkAD%2F%2BaADkAEf%2BaADkAIgApADkAJP%2BuADkAJv%2FsADkAKv%2FsADkAMf%2FsADkAM%2F%2FsADkAQ%2F%2FXADkARf%2FXADkARv%2FXADkAR%2F%2FXADkASf%2FsADkAT%2F%2FsADkAUP%2FsADkAUf%2FXADkAUv%2FsADkAU%2F%2FXADkAVP%2FsADkAVf%2FsADkAV%2F%2FsADkAgf%2BuADkAgv%2BuADkAg%2F%2BuADkAhP%2BuADkAhf%2BuADkAhv%2BuADkAiP%2FsADkAj%2F%2FsADkAkP%2FsADkAkf%2FsADkAkv%2FsADkAk%2F%2FsADkAlf%2FsADkAnf%2FXADkAnv%2FXADkAn%2F%2FXADkAoP%2FXADkAof%2FXADkAov%2FXADkAo%2F%2FXADkApP%2FXADkApf%2FXADkApv%2FXADkAp%2F%2FXADkAqP%2FXADkAr%2F%2FXADkAsP%2FXADkAsf%2FXADkAsv%2FXADkAs%2F%2FXADkAtf%2FXADkAtv%2FsADkAt%2F%2FsADkAuP%2FsADkAuf%2FsADkAvv%2FsADkAv%2F%2FXADkAx%2F%2BaADkAyv%2BaADoAJv%2FXADoAKv%2FXADoAMf%2FXADoAM%2F%2FXADoAiP%2FXADoAj%2F%2FXADoAkP%2FXADoAkf%2FXADoAkv%2FXADoAk%2F%2FXADoAlf%2FXADoAvv%2FXADsAD%2F%2BFADsAEf%2BFADsAIgApADsAJP%2BFADsAJv%2FXADsAKv%2FXADsAMf%2FXADsAM%2F%2FXADsAQ%2F%2BaADsARf%2BaADsARv%2BaADsAR%2F%2BaADsASf%2FXADsAT%2F%2FDADsAUP%2FDADsAUf%2BaADsAUv%2FDADsAU%2F%2BaADsAVP%2FDADsAVf%2BuADsAV%2F%2FDADsAXP%2FXADsAgf%2BFADsAgv%2BFADsAg%2F%2BFADsAhP%2BFADsAhf%2BFADsAhv%2BFADsAiP%2FXADsAj%2F%2FXADsAkP%2FXADsAkf%2FXADsAkv%2FXADsAk%2F%2FXADsAlf%2FXADsAnf%2BaADsAnv%2BaADsAn%2F%2BaADsAoP%2BaADsAof%2BaADsAov%2BaADsAo%2F%2BaADsApP%2BaADsApf%2BaADsApv%2BaADsAp%2F%2BaADsAqP%2BaADsAr%2F%2BaADsAsP%2BaADsAsf%2BaADsAsv%2BaADsAs%2F%2BaADsAtf%2BaADsAtv%2FDADsAt%2F%2FDADsAuP%2FDADsAuf%2FDADsAvv%2FXADsAv%2F%2BaADsAx%2F%2BFADsAyv%2BFADwAJv%2FsADwAKv%2FsADwAMf%2FsADwAM%2F%2FsADwAiP%2FsADwAj%2F%2FsADwAkP%2FsADwAkf%2FsADwAkv%2FsADwAk%2F%2FsADwAlf%2FsADwAvv%2FsAD0ALAC4AEMABf%2FsAEMACv%2FsAEMAxv%2FsAEMAyf%2FsAEQABf%2FsAEQACv%2FsAEQAWP%2FXAEQAWf%2FXAEQAWv%2FXAEQAW%2F%2FXAEQAXP%2FsAEQAuv%2FXAEQAxv%2FsAEQAyf%2FsAEUABQApAEUACgApAEUAxgApAEUAyQApAEcABf%2FsAEcACv%2FsAEcAWP%2FXAEcAWf%2FXAEcAWv%2FXAEcAW%2F%2FXAEcAXP%2FsAEcAuv%2FXAEcAxv%2FsAEcAyf%2FsAEgABQB7AEgACgB7AEgAxgB7AEgAyQB7AEoABf%2FsAEoACv%2FsAEoAxv%2FsAEoAyf%2FsAE0ARf%2FXAE0ARv%2FXAE0AR%2F%2FXAE0AUf%2FXAE0AU%2F%2FXAE0Anf%2FXAE0ApP%2FXAE0Apf%2FXAE0Apv%2FXAE0Ap%2F%2FXAE0AqP%2FXAE0Ar%2F%2FXAE0AsP%2FXAE0Asf%2FXAE0Asv%2FXAE0As%2F%2FXAE0Atf%2FXAE0Av%2F%2FXAE8ABf%2FsAE8ACv%2FsAE8Axv%2FsAE8Ayf%2FsAFAABf%2FsAFAACv%2FsAFAAxv%2FsAFAAyf%2FsAFEABf%2FsAFEACv%2FsAFEAWP%2FXAFEAWf%2FXAFEAWv%2FXAFEAW%2F%2FXAFEAXP%2FsAFEAuv%2FXAFEAxv%2FsAFEAyf%2FsAFIABf%2FsAFIACv%2FsAFIAWP%2FXAFIAWf%2FXAFIAWv%2FXAFIAW%2F%2FXAFIAXP%2FsAFIAuv%2FXAFIAxv%2FsAFIAyf%2FsAFQABQBSAFQACgBSAFQAQ%2F%2FXAFQARf%2FXAFQARv%2FXAFQAR%2F%2FXAFQASf%2FsAFQAUf%2FXAFQAU%2F%2FXAFQAnf%2FXAFQAnv%2FXAFQAn%2F%2FXAFQAoP%2FXAFQAof%2FXAFQAov%2FXAFQAo%2F%2FXAFQApP%2FXAFQApf%2FXAFQApv%2FXAFQAp%2F%2FXAFQAqP%2FXAFQAr%2F%2FXAFQAsP%2FXAFQAsf%2FXAFQAsv%2FXAFQAs%2F%2FXAFQAtf%2FXAFQAv%2F%2FXAFQAxgBSAFQAyQBSAFYABQApAFYACgApAFYAxgApAFYAyQApAFgABQBSAFgACgBSAFgAD%2F%2BuAFgAEf%2BuAFgAIgApAFgAxgBSAFgAx%2F%2BuAFgAyQBSAFgAyv%2BuAFkABQBSAFkACgBSAFkAD%2F%2BuAFkAEf%2BuAFkAIgApAFkAxgBSAFkAx%2F%2BuAFkAyQBSAFkAyv%2BuAFoARf%2FXAFoARv%2FXAFoAR%2F%2FXAFoAUf%2FXAFoAU%2F%2FXAFoAnf%2FXAFoApP%2FXAFoApf%2FXAFoApv%2FXAFoAp%2F%2FXAFoAqP%2FXAFoAr%2F%2FXAFoAsP%2FXAFoAsf%2FXAFoAsv%2FXAFoAs%2F%2FXAFoAtf%2FXAFoAv%2F%2FXAFsABQBSAFsACgBSAFsAD%2F%2BuAFsAEf%2BuAFsAIgApAFsAxgBSAFsAx%2F%2BuAFsAyQBSAFsAyv%2BuAF0ALAC4AIEABf9xAIEACv9xAIEAJv%2FXAIEAKv%2FXAIEALAEKAIEAMf%2FXAIEAM%2F%2FXAIEANv9xAIEAOP%2BuAIEAOf%2BuAIEAO%2F%2BFAIEAiP%2FXAIEAj%2F%2FXAIEAkP%2FXAIEAkf%2FXAIEAkv%2FXAIEAk%2F%2FXAIEAlf%2FXAIEAmv%2BFAIEAvv%2FXAIEAxv9xAIEAyf9xAIIABf9xAIIACv9xAIIAJv%2FXAIIAKv%2FXAIIALAEKAIIAMf%2FXAIIAM%2F%2FXAIIANv9xAIIAOP%2BuAIIAOf%2BuAIIAO%2F%2BFAIIAiP%2FXAIIAj%2F%2FXAIIAkP%2FXAIIAkf%2FXAIIAkv%2FXAIIAk%2F%2FXAIIAlf%2FXAIIAmv%2BFAIIAvv%2FXAIIAxv9xAIIAyf9xAIMABf9xAIMACv9xAIMAJv%2FXAIMAKv%2FXAIMALAEKAIMAMf%2FXAIMAM%2F%2FXAIMANv9xAIMAOP%2BuAIMAOf%2BuAIMAO%2F%2BFAIMAiP%2FXAIMAj%2F%2FXAIMAkP%2FXAIMAkf%2FXAIMAkv%2FXAIMAk%2F%2FXAIMAlf%2FXAIMAmv%2BFAIMAvv%2FXAIMAxv9xAIMAyf9xAIQABf9xAIQACv9xAIQAJv%2FXAIQAKv%2FXAIQALAEKAIQAMf%2FXAIQAM%2F%2FXAIQANv9xAIQAOP%2BuAIQAOf%2BuAIQAO%2F%2BFAIQAiP%2FXAIQAj%2F%2FXAIQAkP%2FXAIQAkf%2FXAIQAkv%2FXAIQAk%2F%2FXAIQAlf%2FXAIQAmv%2BFAIQAvv%2FXAIQAxv9xAIQAyf9xAIUABf9xAIUACv9xAIUAJv%2FXAIUAKv%2FXAIUALAEKAIUAMf%2FXAIUAM%2F%2FXAIUANv9xAIUAOP%2BuAIUAOf%2BuAIUAO%2F%2BFAIUAiP%2FXAIUAj%2F%2FXAIUAkP%2FXAIUAkf%2FXAIUAkv%2FXAIUAk%2F%2FXAIUAlf%2FXAIUAmv%2BFAIUAvv%2FXAIUAxv9xAIUAyf9xAIYABf9xAIYACv9xAIYAJv%2FXAIYAKv%2FXAIYALAEKAIYAMf%2FXAIYAM%2F%2FXAIYANv9xAIYAOP%2BuAIYAOf%2BuAIYAO%2F%2BFAIYAiP%2FXAIYAj%2F%2FXAIYAkP%2FXAIYAkf%2FXAIYAkv%2FXAIYAk%2F%2FXAIYAlf%2FXAIYAmv%2BFAIYAvv%2FXAIYAxv9xAIYAyf9xAIcALAB7AIgAJv%2FXAIgAKv%2FXAIgAMf%2FXAIgAM%2F%2FXAIgAiP%2FXAIgAj%2F%2FXAIgAkP%2FXAIgAkf%2FXAIgAkv%2FXAIgAk%2F%2FXAIgAlf%2FXAIgAvv%2FXAIkALAB7AIoALAB7AIsALAB7AIwALAB7AI0AD%2F%2BuAI0AEf%2BuAI0AJP%2FXAI0ANv%2FDAI0AOP%2FsAI0AOf%2FsAI0AOv%2FXAI0AO%2F%2FsAI0APP%2FsAI0Agf%2FXAI0Agv%2FXAI0Ag%2F%2FXAI0AhP%2FXAI0Ahf%2FXAI0Ahv%2FXAI0Amv%2FsAI0Ax%2F%2BuAI0Ayv%2BuAI8AD%2F%2BuAI8AEf%2BuAI8AJP%2FXAI8ANv%2FDAI8AOP%2FsAI8AOf%2FsAI8AOv%2FXAI8AO%2F%2FsAI8APP%2FsAI8Agf%2FXAI8Agv%2FXAI8Ag%2F%2FXAI8AhP%2FXAI8Ahf%2FXAI8Ahv%2FXAI8Amv%2FsAI8Ax%2F%2BuAI8Ayv%2BuAJAAD%2F%2BuAJAAEf%2BuAJAAJP%2FXAJAANv%2FDAJAAOP%2FsAJAAOf%2FsAJAAOv%2FXAJAAO%2F%2FsAJAAPP%2FsAJAAgf%2FXAJAAgv%2FXAJAAg%2F%2FXAJAAhP%2FXAJAAhf%2FXAJAAhv%2FXAJAAmv%2FsAJAAx%2F%2BuAJAAyv%2BuAJEAD%2F%2BuAJEAEf%2BuAJEAJP%2FXAJEANv%2FDAJEAOP%2FsAJEAOf%2FsAJEAOv%2FXAJEAO%2F%2FsAJEAPP%2FsAJEAgf%2FXAJEAgv%2FXAJEAg%2F%2FXAJEAhP%2FXAJEAhf%2FXAJEAhv%2FXAJEAmv%2FsAJEAx%2F%2BuAJEAyv%2BuAJIAD%2F%2BuAJIAEf%2BuAJIAJP%2FXAJIANv%2FDAJIAOP%2FsAJIAOf%2FsAJIAOv%2FXAJIAO%2F%2FsAJIAPP%2FsAJIAgf%2FXAJIAgv%2FXAJIAg%2F%2FXAJIAhP%2FXAJIAhf%2FXAJIAhv%2FXAJIAmv%2FsAJIAx%2F%2BuAJIAyv%2BuAJMAD%2F%2BuAJMAEf%2BuAJMAJP%2FXAJMANv%2FDAJMAOP%2FsAJMAOf%2FsAJMAOv%2FXAJMAO%2F%2FsAJMAPP%2FsAJMAgf%2FXAJMAgv%2FXAJMAg%2F%2FXAJMAhP%2FXAJMAhf%2FXAJMAhv%2FXAJMAmv%2FsAJMAx%2F%2BuAJMAyv%2BuAJUAD%2F%2BuAJUAEf%2BuAJUAJP%2FXAJUANv%2FDAJUAOP%2FsAJUAOf%2FsAJUAOv%2FXAJUAO%2F%2FsAJUAPP%2FsAJUAgf%2FXAJUAgv%2FXAJUAg%2F%2FXAJUAhP%2FXAJUAhf%2FXAJUAhv%2FXAJUAmv%2FsAJUAx%2F%2BuAJUAyv%2BuAJYAD%2F%2FXAJYAEf%2FXAJYAJP%2FsAJYAgf%2FsAJYAgv%2FsAJYAg%2F%2FsAJYAhP%2FsAJYAhf%2FsAJYAhv%2FsAJYAx%2F%2FXAJYAyv%2FXAJcAD%2F%2FXAJcAEf%2FXAJcAJP%2FsAJcAgf%2FsAJcAgv%2FsAJcAg%2F%2FsAJcAhP%2FsAJcAhf%2FsAJcAhv%2FsAJcAx%2F%2FXAJcAyv%2FXAJgAD%2F%2FXAJgAEf%2FXAJgAJP%2FsAJgAgf%2FsAJgAgv%2FsAJgAg%2F%2FsAJgAhP%2FsAJgAhf%2FsAJgAhv%2FsAJgAx%2F%2FXAJgAyv%2FXAJkAD%2F%2FXAJkAEf%2FXAJkAJP%2FsAJkAgf%2FsAJkAgv%2FsAJkAg%2F%2FsAJkAhP%2FsAJkAhf%2FsAJkAhv%2FsAJkAx%2F%2FXAJkAyv%2FXAJoAD%2F%2BFAJoAEf%2BFAJoAIgApAJoAJP%2BFAJoAJv%2FXAJoAKv%2FXAJoAMf%2FXAJoAM%2F%2FXAJoAQ%2F%2BaAJoARf%2BaAJoARv%2BaAJoAR%2F%2BaAJoASf%2FXAJoAT%2F%2FDAJoAUP%2FDAJoAUf%2BaAJoAUv%2FDAJoAU%2F%2BaAJoAVP%2FDAJoAVf%2BuAJoAV%2F%2FDAJoAXP%2FXAJoAgf%2BFAJoAgv%2BFAJoAg%2F%2BFAJoAhP%2BFAJoAhf%2BFAJoAhv%2BFAJoAiP%2FXAJoAj%2F%2FXAJoAkP%2FXAJoAkf%2FXAJoAkv%2FXAJoAk%2F%2FXAJoAlf%2FXAJoAnf%2BaAJoAnv%2BaAJoAn%2F%2BaAJoAoP%2BaAJoAof%2BaAJoAov%2BaAJoAo%2F%2BaAJoApP%2BaAJoApf%2BaAJoApv%2BaAJoAp%2F%2BaAJoAqP%2BaAJoAr%2F%2BaAJoAsP%2BaAJoAsf%2BaAJoAsv%2BaAJoAs%2F%2BaAJoAtf%2BaAJoAtv%2FDAJoAt%2F%2FDAJoAuP%2FDAJoAuf%2FDAJoAvv%2FXAJoAv%2F%2BaAJoAx%2F%2BFAJoAyv%2BFAJsAD%2F72AJsAEf72AJsAJP%2BaAJsAOv%2FXAJsAPP%2FsAJsAgf%2BaAJsAgv%2BaAJsAg%2F%2BaAJsAhP%2BaAJsAhf%2BaAJsAhv%2BaAJsAx%2F72AJsAyv72AJ0ABf%2FsAJ0ACv%2FsAJ0Axv%2FsAJ0Ayf%2FsAJ4ABf%2FsAJ4ACv%2FsAJ4Axv%2FsAJ4Ayf%2FsAJ8ABf%2FsAJ8ACv%2FsAJ8Axv%2FsAJ8Ayf%2FsAKAABf%2FsAKAACv%2FsAKAAxv%2FsAKAAyf%2FsAKEABf%2FsAKEACv%2FsAKEAxv%2FsAKEAyf%2FsAKIABf%2FsAKIACv%2FsAKIAxv%2FsAKIAyf%2FsAKUABf%2FsAKUACv%2FsAKUAWP%2FXAKUAWf%2FXAKUAWv%2FXAKUAW%2F%2FXAKUAXP%2FsAKUAuv%2FXAKUAxv%2FsAKUAyf%2FsAKYABf%2FsAKYACv%2FsAKYAWP%2FXAKYAWf%2FXAKYAWv%2FXAKYAW%2F%2FXAKYAXP%2FsAKYAuv%2FXAKYAxv%2FsAKYAyf%2FsAKcABf%2FsAKcACv%2FsAKcAWP%2FXAKcAWf%2FXAKcAWv%2FXAKcAW%2F%2FXAKcAXP%2FsAKcAuv%2FXAKcAxv%2FsAKcAyf%2FsAKgABf%2FsAKgACv%2FsAKgAWP%2FXAKgAWf%2FXAKgAWv%2FXAKgAW%2F%2FXAKgAXP%2FsAKgAuv%2FXAKgAxv%2FsAKgAyf%2FsAK0ABf%2FsAK0ACv%2FsAK0AWP%2FXAK0AWf%2FXAK0AWv%2FXAK0AW%2F%2FXAK0AXP%2FsAK0Auv%2FXAK0Axv%2FsAK0Ayf%2FsAK8ABf%2FsAK8ACv%2FsAK8AWP%2FXAK8AWf%2FXAK8AWv%2FXAK8AW%2F%2FXAK8AXP%2FsAK8Auv%2FXAK8Axv%2FsAK8Ayf%2FsALAABf%2FsALAACv%2FsALAAWP%2FXALAAWf%2FXALAAWv%2FXALAAW%2F%2FXALAAXP%2FsALAAuv%2FXALAAxv%2FsALAAyf%2FsALEABf%2FsALEACv%2FsALEAWP%2FXALEAWf%2FXALEAWv%2FXALEAW%2F%2FXALEAXP%2FsALEAuv%2FXALEAxv%2FsALEAyf%2FsALMABf%2FXALMACv%2FXALMAxv%2FXALMAyf%2FXALUABf%2FsALUACv%2FsALUAWP%2FXALUAWf%2FXALUAWv%2FXALUAW%2F%2FXALUAXP%2FsALUAuv%2FXALUAxv%2FsALUAyf%2FsALoABQBSALoACgBSALoAD%2F%2BuALoAEf%2BuALoAIgApALoAxgBSALoAx%2F%2BuALoAyQBSALoAyv%2BuALsABf%2FsALsACv%2FsALsAWP%2FXALsAWf%2FXALsAWv%2FXALsAW%2F%2FXALsAXP%2FsALsAuv%2FXALsAxv%2FsALsAyf%2FsALwABQBSALwACgBSALwAD%2F%2BuALwAEf%2BuALwAIgApALwAxgBSALwAx%2F%2BuALwAyQBSALwAyv%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%2FAEAAQQBCAEMARABFAEYARwBIAEkASgBLAEwATQBOAE8AUABRAFIAUwBUAFUAVgBXAFgAWQBaAFsAXABdAF4AXwBgAGEArACjAIQAhQC9AJYA6ACGAI4AiwCdAKkApAEDAIoBBACDAJMA8gDzAI0AlwCIAMMA3gDxAJ4AqgD1APQA9gCiAK0AyQDHAK4AYgBjAJAAZADLAGUAyADKAOkAZgDTANAA0QCvAGcA8ACRANYA1ADVAGgA6w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MTABMhYVFAAhIicRFhYzIDU0ISIGBycTIREhAzc2AmbU%2B%2F7S%2Fuf0lk%2FSXgEb%2Fts1gCh7NwMZ%2FfYbIz0Dpu7P9f74TwELKjXo3RUMQgLp%2Fvr%2B4QcOAAIASP%2FsBFAFxwAYACQAQUAhBhIMDCIiABwSABIlJg8fUFkPDxUDFRlPWRUZAwhPWQMHAD8rABg%2FKxESADkYLysREgE5OREzETMSORESOTEwExAAITIXFSYjIgYGBzM2MzIWFRQAIyImAgUyNjU0JiMiBhUUFkgBbwFufUdZV5%2FJZAkNY9rE3v746qLxgwIQY2pjZF6FfQJtAbIBqA%2F3FGC8rar22er%2B75YBIL%2BFe2t7elF3pAAAAQA3AAAEUAW0AAYALkAWBgAAAgEBBQIFBwgFAwIDAk5ZAwYAGAA%2FPysREgA5ERIBOTkRMxESOREzMTAzASERIRUB4wIl%2FS8EGf3XBLABBML7DgAAAwBI%2F%2BwESgXJABcAIgAuAFNAKRIGFSwDAxgJGCYVFQ8eHgkPCS8wBhISISEpKQwADBtRWQwZACNRWQAHAD8rABg%2FKxESADkRMxI5ETMREgE5OREzERI5ETMyERI5ETMSOTkxMAEyBBUUBgcWFhUUBCMiJDU0NjcmJjU0JAMUFjMyNjU0JicGEyIGFRQWFzY2NTQmAkrSAQF8iqSP%2Fubm8P7uhZN9bgEEE3hoc3Jxf9XiT2FNZWJOZAXJv6Jwr0VYv3K028y7fcJKT7RrncL7vFZgY1FDdUJiAsxRRDxfMi5gP0VQAAACAEL%2F7ARKBccAGQAlAD9AIB0FEwwMIyMAEwAmJxAgUFkQEAMWFhpPWRYHAwhQWQMZAD8rABg%2FKxESADkYLysREgE5OREzEjkREjkyMTABEAAhIic1FjMyNjY3IwYGIyImNTQAMzIWEiUiBhUUFjMyNjU0JgRK%2FpT%2Bj4JDVFybyGoIDDqYcr%2FcAQvmovOC%2Fe9gbGJkXoZ9A0b%2BUP5WDvgVW8OrXkz12usBEZj%2B38GEfGp8e1B3pAAAAgB1%2F%2BUB0wRzAAsAFwAmQBMSBgYMAAAYDxVUWQ8QCQNUWQkTAD8rABg%2FKxEBMxEzMxEzMTA3NDYzMhYVFAYjIiYRNDYzMhYVFAYjIiZ1WlZTW1xSVFxaVlNbXVFUXI9UVlhST1tZA4tUVlhSUVlYAAIAP%2F74AdMEcwAGABIAKEATDQcHEwMEBgEGBhMKEFRZChAEBgAvxj8rEQEzETMQwjIRMxEzMTAlFwYDIxI3AzQ2MzIWFRQGIyImAbwPNHzcQSQvWlZTW11RVFzuF8r%2B6wEK7ALbVFZYUlFZWAAAAQBYAMsEOQUAAAYAJ0AQBQEEAAEABwgEAwMGAAIBBQA9LzMzMzIzETMREgE5OREzETMxMCUBNQEVAQEEOfwfA%2BH9VAKsywG2jwHw8P7D%2FucAAAIAWAGiBDkEAAADAAcAJEARBwMDCQQACAVQBGAEAgQEAAEALzMzL10zEQEzMhEzETMxMBM1IRUBNSEVWAPh%2FB8D4QMl29v%2BfdvbAAABAFgAywQ5BQAABgArQBICAAEFAAUHCAAGBgECAwMFBAEAPS8zMzMRMxEzETMREgE5OREzETMxMBMBATUBFQFYAqz9VAPh%2FB8BugEZAT3w%2FhCP%2FkoAAAIABv%2FlA6AFywAZACUAREAiIBoaGQAADQcHEg0SJicPAAEJAwAAIyMdVFkjEw8KT1kPBAA%2FKwAYPysRADMYL19eXRESATk5ETMREjkRMzMRMzEwATU0Njc2NjU0JiMiByc2MzIWFRQGBwYGFRUBNDYzMhYVFAYjIiYBFFJtaUNgVpbAbd%2F6zvNkjGAz%2FtdaVlNbXFJUXAHlSmCOUEteOkFEYtt9xqVuoGRHSjw8%2FqpUVlhST1tZAAACAGb%2FZgbHBckANAA%2FAFlAKwc5ORQUEzU1DTsTKBMNAyEZIS0ZAC0AQEEWCDc3BAo9EAoQChAqHTEEJCoALzM%2FMxI5OS8vETMRMzMRMzMREgE5OREzETMREhc5ETMRMxESOREzEjkxMAEUBgYjIiYnIwYjIiY1NAAzMhYXAxQzMjY1NCYmIyIEAhUQACEyNjcVBiEgABE0EiQhMgQSARQzMjY3NyYjIgYGx1yob0pyGRBsp7HMAQzYVs9DF0xATIbznMr%2B1p8BJwEYav571v77%2FoT%2BV9kBkQEF3AFavPwArFpeCg0zQH2LAvCQ74hHOoHVudMBAiEX%2FheLu5eh94Km%2FsfN%2Fuz%2B2S8twFsBkAFk9wGT5bT%2BtP6q03%2BP3QucAAACAAAAAAWFBbwABwANAENAIQINAwgBAAYFCwsDAAAHBw8DBAQODQJMWQ0NAwsFAwADEgA%2FMz8zEjkvKxEBMxEzETMRMxESOREzMxI5ORI5OTEwIQMhAyEBIQEBAiYnBgMEN2r962r%2BsgIEAXsCBv3%2BkyUIIZwBXP6kBbz6RAJgAdl8JID%2BBwAAAwC4AAAE9AW2AA8AGAAgAFZALAcUFAQEGh4LCyIQGhoPDyEIEBkQGU1ZDBABDQMQEA8ADxpMWQ8SABhMWQADAD8rABg%2FKxESADkYL19eXSsREgA5EQEzETMRMxEzETMSOREzEjkxMBMhIAQVFAYHFRYWFRQEIyEBMzI2NTQmIyMRETMyNjU0IbgBxwE3ARl7Zot7%2Ft%2F4%2Fd0BNrR%2BcXuFo8qAev78BbaxwYOoEQofqo3I4ANzTlpUSf3F%2FoNiZbYAAQB3%2F%2BwE0QXLABYAMUAYBxMTGAMNDRcUABEATFkRBAcFCgVMWQoTAD8rEQAzGD8rEQAzEQEzETMRMxEzMTABIgIVECEyNxEGIyAAETQSJDMyFwcmJgMlr8ABb5rbtN7%2Bwf6upgE30dXXZFKmBMn%2B%2Bev%2BF03%2B%2FEsBgwFq5AFXt2f8JzoAAgC4AAAFdQW2AAgADwAoQBQJAAARDQQEEAUMTFkFAwQNTFkEEgA%2FKwAYPysRATMRMxEzETMxMAEQACEhESEgAAEQISMRMyAFdf5l%2Fnz%2BYgHLAWYBjP6%2B%2FmClhQHAAun%2Bl%2F6ABbb%2Bhv6lAdf8SAABALgAAAQCBbYACwBFQCQIBAAADQYKCgEBDAYJTFkMBgENAwYGAQICBUxZAgMBCkxZARIAPysAGD8rERIAORgvX15dKxEBMxEzETMRMxEzMzEwISERIRUhESEVIREhBAL8tgNK%2FewB7%2F4RAhQFtv7%2Bv%2F7%2BhwAAAQC4AAAD%2FgW2AAkANEAaCAMDCwYAAAEBCgYJTFkGBgECAgVMWQIDARIAPz8rERIAORgvKxEBMxEzETMRMxEzMTAhIREhFSERIRUhAen%2BzwNG%2FesB8P4QBbb%2B%2Fof9AAEAd%2F%2FsBScFywAaAExAJxoYGAIODQ0CAhMcEwgIGw4QCxBMWQAaTFkAAAULBBgWBRZMWQIFEwA%2FMysRADMYPxI5LysrEQAzEQEzETMREjkRMxEzETMROTEwASERBgYjIAAREAAhMhcHJiMiAhUUFjMyNxEhAuMCRI35gv61%2FqMBlQFn4dFnoK3J8sO6YWT%2B6wM1%2FQouJQGFAWwBYgGMWvhQ%2FvLk7vsUATEAAQC4AAAFZgW2AAsAN0AcCQEBAAANCAQEBQUMCANMWUwIAQgIBQoGAwEFEgA%2FMz8zEjkvXSsRATMRMxEzETMRMxEzMTAhIREhESERIREhESEFZv7L%2Fb3%2BygE2AkMBNQJ3%2FYkFtv3DAj0AAAH%2FaP5SAe4FtgANAB9ADgsCCAgOAwUABUxZAAkDAD%2FEKxEAMxEBMxEzMzEwEyInERYzMjY1ESEREAIfaU5QQmZYATbq%2FlIWAQIUf4cFWvqo%2FwD%2B9AAAAQC4AAAFUAW2AAwAQkAfDAICCgsLAQAADggDBQUNDAICAwsLBgMICAUGAwEFEgA%2FMz8SOREzETMREjkRMxEBMxEzMhEzETMzETM5ETMxMCEhAQcRIREhETcBIQEFUP6g%2FoGD%2FsoBNnoBjAFY%2FgICaF799gW2%2FWOsAfH9eQAAAQC4AAAEPwW2AAUAH0AOBAcDAAAGAQMAA0xZABIAPysAGD8RATMRMxEzMTAzESERIRG4ATYCUQW2%2B0r%2FAAABALgAAAbTBbYAFAA6QBwUAAkLCQgDBQ4ODQ0WBQYVEgIJAgYLBwMOAAYSAD8zMz8zEjk5ETMRATMyETMRMxESFzkRMzMxMCEBIxIVESERIQEzASERIRE0NhMjAQMj%2FqAJE%2F7rAaYBWgYBbwGm%2Ft8DDAn%2BhwR7%2FqJ1%2FVgFtvuiBF76SgK0MYABFPuHAAEAuAAABckFtgAPADZAGQoACQEGDQ0AABEDBQYGBxALAwcOCAMBBxIAPzM%2FMxI5OREBMzIRMzkRMxEzERI5ORI5MTAhIQEjEhURIREhATMCNREhBcn%2Bdv2ECRP%2B6wGHAnsHDwEXBFL%2B2339UAW2%2B7kBHXYCtAACAHf%2F7AXnBc0ACwAVAChAFBEAABcMBgYWCRNMWQkEAw9MWQMTAD8rABg%2FKxEBMxEzETMRMzEwARAAISAAERAAISAAARQWMyARECEiBgXn%2Fpj%2BsP6w%2FpgBaQFRAVEBZfvVurkBc%2F6PubwC3f6V%2FnoBhgFtAW0Bgf58%2FpT1%2BAHtAe75AAACALgAAASqBbYACAATADRAGgQJCRUADg4PDxQNAExZDQ0PEBAITFkQAw8SAD8%2FKxESADkYLysRATMRMxEzETMRMzEwATMyNjU0JiMjBRQEISMRIREhIAQB7maPjnd%2FjQK8%2Ftn%2B8IX%2BygHTAQoBFQMGcWxtaMrs%2Bv34BbblAAACAHf%2BpAXnBc0ADwAZAEJAIgYDBQQEAgMIBAoVAAAbEAoKGgMHDQ0XTFkNBAcTTFkFBxMAP8YrABg%2FKxESADkRATMRMxEzETMSFzkRMxEzMTABEAIHASEBIyAAERAAISAAARQWMyARECEiBgXnt7EBYP5z%2FvQX%2FrD%2BmAFpAVEBUQFl%2B9W6uQFz%2Fo%2B5vALd%2Fv7%2Bo1H%2BdwFIAYYBbQFtAYH%2BfP6U9fgB7QHu%2BQAAAgC4AAAFSAW2AAgAFwBOQCYTFxcECgQQEAoWFRkACgoLCxgTCQwACU1ZAAALDAwITFkMAxYLEgA%2FMz8rERIAORgvKxESADkRATMRMxEzEBjEMhE5ETMREjkRMzEwATMyNjU0JiMjEREhESEgBBUUBgcAFyEBAe5kk4yPll7%2BygGqASoBHo6CAUpk%2Fqj%2BowMtYmloWP15%2Fc8Fttndgck5%2FhOQAjEAAAEAXv%2FsBBcFywAnAEVAIhsaGiEAIQUUDAAUACgpFCEADCEMHgkXHkxZFwQDCUxZAxMAPysAGD8rERIAOTkRMxEzERIBOTkRMxEzMxESOREzMTABFAQjIicRFhYzMjY1NCYmJy4CNTQkMzIWFwcmJiMiBhUUFhYXFhYEF%2F7j%2Fuq0lM1VZm0wXY%2BGhlABB%2Bhyz3FkdZlKWF4mU5vNmAGWxuRYASBCNk5NK0M%2BRD90mmfC3jYx8TAmUkIpPTlKYsUAAAEAKQAABHkFtgAHACZAEgYAAAMBAQgJBwMEA0xZBAMBEgA%2FPysRADMREgE5ETMzETMxMCEhESERIREhAuz%2Byv5zBFD%2BcwS0AQL%2B%2FgABAK7%2F7AVeBbYAEgAlQBERAQEUCwgIExIJAwUOTFkFEwA%2FKwAYPzMRATMRMxEzETMxMAERFAYEIyAANREhERQWMzI2NREFXpH%2B7rv%2B5v7IATWInZiJBbb8TqL0ggEh%2BwOu%2FIGpnp%2BqA30AAQAAAAAFMwW2AAsAKkATAwIJCQUAAQENBQQEDAAEAwkDEgA%2FMz8zEQEzETMRMxEzETkRMzMxMAEhASEBIQEWFhc2NwP6ATn%2BD%2F6u%2FhABOQETFzEGC0AFtvpKBbb8mk3NKFzmAAEAAAAAB7wFtgAdAEZAIgoJDxQTBQEAGBgFDwMMHBwdHR8MCwseHBMFCwMYDw8BChIAPzMzETM%2FMzMzEQEzETMRMxEzERIXOREzMxEzMxEzMzEwISEDJgInBgYHAyEBIRMWFzY2NxMhExYWFzY2NxMhBkj%2Bn8YLNQQGMA3F%2FqD%2BiwExuzEWBisT1QEl1Q4qCwosEroBMQMAKQEBLDbvM%2F0CBbb84t2iOe9CAzP8zTfiUU7pSAMeAAABAAAAAAVWBbYACwBEQCALBQIICAcJBwYJCgYKAQAADQMEDAsIAgUFBAkGAwEEEgA%2FMz8zEjkRMzMzEQEzMhEzETM5OREzETMREjkRMzMzMTAhIQEBIQEBIQEBIQEFVv6e%2Fqz%2BrP60AeX%2BOgFWATsBNQFO%2FjUCKf3XAvICxP3yAg79KwABAAAAAAT%2BBbYACAA2QBkIBwcFAQICAAQEBQUJCgMGBgAABQEHAwUSAD8%2FMxI5ETMRMxESATkRMxI5MhEzETMRMzEwAQEhAREhEQEhAn8BMQFO%2Fhv%2BzP4bAVADXAJa%2FIP9xwIvA4cAAAEAMQAABHEFtgAJADtAHQgEAQMHBwABAAoLBwQFBQRMWQUDAgEIAQhMWQESAD8rERIAORg%2FKxESADkREgE5OREzETMRMzMxMCEhNQEhESEVASEEcfvAAr39VgQa%2FUQCz8kD7QEAyPwSAAABAI%2F%2BvAJzBbYABwAeQA0GAQEIBAAJBQIDBgEkAD8zPzMRATMyETkRMzEwASERIRUjETMCc%2F4cAeTg4P68BvrT%2BqwAAAEADAAAA0IFtgADABxADAADAwQCAQEFAwMCEgA%2FPxEBMxEzETMRMzEwAQEhAQEhAiH%2B6%2F3fBbb6SgW2AAEAM%2F68AhcFtgAHACBADgEGBgkDBwcIAAckAwQDAD8zPzMRATMRMxI5ETMxMBczESM1IREhM9%2FfAeT%2BHHEFVNP5BgAAAQAIAggEPQW%2BAAYALUAUAgEFBQYEBAMDCAYAAAAEBAcFAgYAPzMSOS8zATIRMxEzETMREjkRMzMxMBMBMwEjAQEIAbaQAe%2Fv%2Fr7%2B6AIIA7b8SgKD%2FX0AAAH%2F%2FP68A07%2FSAADABK2AAUBBAIBJAA%2FMxEBMxEzMTABITUhA078rgNS%2FryMAAABAUwE2QONBiEACAAcQAsAB0ADBQUJCgWAAAAvGt0REgE5ETMayjIxMAEmJic1IRYXFQLDP%2FREAVY%2FrATZLMVCFWXIGwAAAgBW%2F%2BwEOwR1ABgAIgBKQCYSDAgMAiIiGBgkHQgIIwwZS1kMDAUUFA9GWRQQAh8FH0ZZBRYAFQA%2FPysRADMYPysREgA5GC8rEQEzETMRMxEzEjkyERI5MTAhJyMGBiMiJjU0Njc3NTQjIgcnNjMyFhURAQcGBhUUMzI2NQNmOwhNo4Ohufn7wq6GtWXB6%2BHw%2FtF2hYKUan%2BYYUu4qrKpCQYxqlHOZcTI%2FRcCBgQEWFqBemUAAgCg%2F%2BwEtAYUABIAHwBCQCEdAwMhCRALDhcXCwsgDAALFQkQBgAGGkdZBhYAE0dZABAAPysAGD8rERIAOTkYPz8RATMRMxEzEjk5ETMRMzEwATISERACIyInIwcjESERFAczNhciBgcVFBYzMjY1NCYDDsbg58fFcBUz6QExDAxrcHFoAmt0Xm9wBHP%2By%2F7z%2Fuv%2B0I97BhT%2BlkWYpvSLoCG0nK2lpaUAAQBc%2F%2BwD3QRzABUAKkAVEw0HBxcNAgIWBQtHWQUQAA9HWQAWAD8rABg%2FKxEBMxEzETMREjkxMAUgERAAITIXByYmIyIREDMyNjcRBgYCZv32ARwBCcKaWkh8Pu7uWJZLSpcUAj0BHQEtTOwdJf6u%2FrgvMv77LyQAAgBc%2F%2BwEcQYUABIAHwBAQCEJFhADCwsODiEdAwMgDxUMABEJAAYGGkdZBhAAE0dZABYAPysAGD8rERIAOTkYPz8RATMRMxEzETMSFzkxMAUiAhEQEjMyFzMmNREhESMnIwYnMjY3NTQmIyIGFRQWAgLF4eXJ028KFwEy6jsNaGp1bQVvfWZxchQBMgEPARMBM6R9YgFm%2BeyRpfOIoyG0nK2lpaUAAAIAXP%2FsBGIEcwAGABsARkAjAxIEBBkRER0SCgocGBUSAxJKWQMDBw0NAEpZDRAHFUZZBxYAPysAGD8rERIAORgvKxESADkRATMRMxEzETMzERI5MTABIgYHISYmAyAAERAAMzIAFRUhFhYzMjY3FQYGAm9hbggBrAJyNv7y%2FtABGfjtAQj9LwWQgmW0YlC2A5p7cXF7%2FFIBKgERARkBM%2F7y7pSCkiou7CgnAAABACkAAAN1Bh8AFQA8QB4UAgIHBQMDFhcNAAAXBQEUAUZZBxQPCxBHWQsAAxUAPz8rABg%2FMysRADMRATMRMxESOREzMzMRMzEwASERIREjNTc1NDYzMhcHJiMiBhUVIQMK%2Fvj%2Bz6iovM%2Bee05cTkE6AQgDefyHA3mTUlK%2FsC%2FgHU08RgADAAb%2BFARtBHMAKQA2AEAAgEBECx0dPT0EMBERAikHIAQjAQQEQhoqKhcXNyMjQRoNAA0BDQYNNAc6S1kJIAQDBwcmNCkCSlkpKSYmP0tZJhAULUpZFBsAPysAGD8rEQAzGC8rABgvEjkvFzkrEQAzX15dEjkRATMRMzMRMxEzETMRMxIXOTMRMxEzETkRMzEwARUHFhUUBiMnJwYVFDMzMhYVFAQhIiY1NDY3JiY1NDY3JiY1NDYzMhYXARQWMzI2NTQmIyMiBhMUFjMyNjU0IyIEba8w%2B983LS%2BovrjB%2Frn%2Bzur3fnovRkpGWGfu3S%2BBEv4neW2kum5znlRxb1NVVlCmqARemy1LXbTJAwUkLEKemcTYo5NliB0UWzNAVSkmqHK3yBEE%2BwQ%2FSFpOPzBPA01bampbygABAKAAAASoBhQAFQA1QBoBAAAXDwkMCAgJCRYPBBISBEdZEhAKAAEJFQA%2FMz8%2FKxESADkRATMRMxEzEjkRMxEzMTAhIRE0IyIGFREhESERFAcHMzYzMhYVBKj%2Bz7SAcv7PATEHBxBm3sXMAo3yrsP98gYU%2FsMliVqk1MYAAgCTAAAB3wYUAAgADAAkQBEECQkACgoNCw8KFQIHSVkCAAA%2FKwAYPz8RATMRMzMRMzEwEzQzMhUUBiMiASERIZOmplNTpgE%2B%2Fs8BMQV%2FlZVHT%2FsXBF4AAAL%2Fff4UAd8GFAANABYAL0AYEgsLDgIICBcQFUlZEAAJDwMFAAVHWQAbAD8rEQAzGD8%2FKxEBMxEzMzMRMzEwEyInNRYzMjY1ESERFAYDNDMyFRQGIyJGdVRGSU1HATHOcKamU1Om%2FhQZ8BNWVASq%2BymywQdrlZVHTwAAAQCgAAAE9gYUAA4ASUAjBAcHCAIDAwYFBRAOCg0NCAgKCg8LAAQHBwgIDg4DBgoVAw8APz8zEjkRMxE5ETM%2FEQEzETMRMxESOREzETMzETMSOREzMTABNwEhAQEhAQcRIREhEQcBxYUBOQFY%2FkQB1%2F6g%2Fr6D%2Fs8BMRACYKoBVP4b%2FYcBxWn%2BpAYU%2FUr%2BAAEAoAAAAdEGFAADABO3AAEBBAIAARUAPz8RATMRMzEwISERIQHR%2Fs8BMQYUAAABAKAAAAdCBHMAIwBNQCYUExMAAAEBChwcGxslDQkJCgokEw0NESAFEQVHWRcREAsPHAEKFQA%2FMzM%2FPzMrEQAzEjkRMxEBMxEzEjkRMxEzERI5ETMSOREzMTAhIRE0JiMiBhURIREzFzM2NjMyFzM2NjMyFhURIRE0JiMiBhUEif7PUVd1av7P6SkRLapu%2B1kbLa9uvsP%2BzlFXcG8CjXl5rMX98gRej01XpE5Ww9f9JwKNeXmgrgAAAQCgAAAEqARzABQAMUAYAQAAFg0JCQoKFQ0FEREFR1kREAsPAQoVAD8zPz8rERIAOREBMxEzEjkRMxEzMTAhIRE0JiMiBhURIREzFzM2NjMyFhUEqP7PVl6Acv7P6SkRM7Nyw8oCjXl5q8b98gRej1FT08cAAAIAXP%2FsBJgEcwALABkAKEAUBgwMGwATExoWCUdZFhAPA0dZDxYAPysAGD8rEQEzETMRMxEzMTABFBYzMjY1NCYjIgYFEAAhIiYCNRAAITIWEgGTbXt6a2x7emwDBf7g%2Fv%2Bh9oQBHgEDofaEAjGmqqmnpqalp%2F7v%2FsyNAQiwARIBMIz%2B%2BgAAAgCg%2FhQEtARzABMAHwBDQCIYBgYHCgMDBx0QBxAgIQMKAA0NFEdZDRAIDwcbABtHWQAWAD8rABg%2FPz8rERIAOTkREgE5OREzETMRMxEzETMxMAUiJyMWFREhETMXMzYzMhIRFAIGAyIGBxUUFjMyETQmAwbFcBAQ%2Fs%2F4Kw5r0sbgacLdcWgCa3TNZRSPjBb%2BOwZKkab%2Bzv7ws%2F74igOTi6AhtJwBUqWlAAACAFz%2BFARxBHMACwAgAEJAIRYDHQMaGhkZIgkPDyEaGxcPHhYMEhIHR1kSEAwAR1kMFgA%2FKwAYPysREgA5ORg%2FPxEBMxEzETMRMxI5OREzMTAlMjY3NTQmIyIRFBYXIgIREBIzMhYXMzchESERNDcjBgYCb3RsBW9712sExuDlx2qePAgbAQL%2Bzg0NMaLbhaYltJz%2Brqim7wExARABEgE0UFSP%2BbYB1T1rUVQAAQCgAAADdwRzABAAJUARAhINCQkKChELDwoVDQUFABAAPzIROT8%2FEQEzETMSOREzMTABMhcDJiMiBhURIREzFzM2NgMQPikXJTWSo%2F7P5y0PNLEEcwn%2B4gqWh%2F3HBF68XnMAAAEAXP%2FsA6wEcwAlAD9AHwYZFAwAACcfFBQmAAwUHwwfCh0XHUZZFxADCkZZAxYAPysAGD8rERIAOTkRMxEzEQEzETMRMxEzEjk5MTABFAYjIiYnNRYWMzI1NCYmJy4CNTQ2MzIXByYmIyIVFBYXHgIDrO%2FueqxLVdVRpixsWoF5N%2BfUyr9cVJJMh1eTg3o6AUystCEg%2FCg2YCQtOSY2XHdXlaNY3CQuSSk8OzVceAAAAQAv%2F%2BwDNwVMABUAPUAeDAgPDxMTCggCEQgRFhcKEg8SRlkNDA8PBQBHWQUWAD8rABg%2FM8ErEQAzERIBOTkRMxEzMxEzERI5MTAlMjcVBiMiJjURIzU3NzMVIRUhERQWAndQcHKmt6eSqFjDATn%2Bx0nfI%2BMzubkCG4Fm7O7l%2FeVBPgAAAQCa%2F%2BwEogReABQAMkAYAhERFBQWCwgIFRIJDwIFDgUOR1kFFgAVAD8%2FKxESADkYPzMRATMRMxEzETMSOTEwIScjBgYjIiY1ESERFBYzMjY1ESERA7gpEDG0c8XIATFWXoByATGPTlXTxgLZ%2FXN5eavGAg77ogAAAQAAAAAEjQReAAsALEAUCwAFBQIJCQoKDQIBAQwJAQ8FABUAPzI%2FMxEBMxEzETMRMxESOREzMzEwIQEhExYXMzY3EyEBAar%2BVgE%2F2CQJBgUo1wE%2F%2FlYEXv2DeWxghQJ9%2B6IAAAEAFAAABsUEXgAdAEpAJAUEChAPAx0AFxcDCgMHGxscHB8HBgYeFwoKAwUPDxsGDwAFFQA%2FMz8zMxESOTkRMxEBMxEzETMRMxESFzkRMzMRMzMRMzMxMCEDAyMDIQEhExYXMzY3NxMhEx4DFzM2NjcTIQEEN1Z0B8z%2BuP7CATCBHyAGBB8QigFQgwQREA0BBgkuCoYBK%2F6%2BAYcB7vyLBF7%2BEYXqTKVVAhj96BZWYV0cSPssAe%2F7ogABAAoAAASWBF4ACwBMQCQGBQABCQMDAgQCAQQFAQULCAcHDQoLCwwJBgMAAAEICxUEAQ8APzM%2FMxI5ETMzMxEBMxEzETMRMxI5OREzETMREjkRMxI5EjkxMAEBIRMTIQEBIQMDIQGF%2FpgBWtnbAVr%2BlAF9%2FqXr7P6mAjsCI%2F6cAWT93f3FAX%2F%2BgQABAAD%2BFASNBF4AFgBMQCULFBQQFhYEBAEICAkJGBABAAAXCxQUEgQWFRASDRJHWQ0bCAAPAD8yPysRADMYPzMSOREzEQEzETMzETMRMxESOREzERI5ETMxMBEhExYXMzY3EyEBBgYjIic1FjMyNjc3AU7TGwoGCyDPAUf%2BJ0HxoU9MN0FReSISBF79i1JwZ1sCdfsTr64R8g1jZDcAAAEANwAAA6oEXgAJAD1AHgMHBAcBAAALCAEBCgcEBQUERlkFDwIIAQEIRlkBFQA%2FKxESADkYPysREgA5EQEzETMRMxESOTkRMzEwISE1ASE1IRUBIQOq%2FI0CBv4ZA0L%2BCAIKtALB6cb9UQABAB%2F%2BvALVBbYAHwA2QBkDFAgfHxEYGCANHBwhBAMTEw0bGxwkDQwDAD8zPzMREjkRMzMRATMRMxI5ETMzETMzOTEwATQmIzUyNjU1ETQ2MxUGBhURBgcVFhUVERQWFxUiJjUBH4N9foLC9GNLBuTqSmT0wgEOV1zvWFIIAT6ZfeEDRkT%2B1bwiDCOxCf7VREYD4n2aAAABAcf%2BLwKiBg4AAwAUtwIDAwQFAwAAAD8vERIBOREzMTABMxEjAcfb2wYO%2BCEAAQBS%2FrwDCAW2ACIANkAZHxoNAAAQCAgkFAQEIx8eDg4UBRQVAwUEJAA%2FMz8zERI5ETMzEQEzETMSOREzMxEzMzkxMAUUBgYjNTY2NRE1NDY3NSYnETQmJzUyFhYVERUUFjMVIgYVAghSvadjS3Zz4wZKZKe%2BUXuFfYMtcHI14gJERwErC1ZrEQwivAErRkQD4TVzbv7CClRU71JhAAABAFgCJwQ5A30AFQA3QBgGABELAAsDDw8XAxYPDg4GBAMDCxERAAYALzMyfS8zMxEzETMRMxEBMxEzERI5OREzETMxMAEiBgc1NjMyFhcWMzI2NxUGIyImJyYBQjd9NmeZSYFLgWI1fjZlm0J4WoMCoEM2520gIDdAOedtGiU4AAIAdf6PAdMEXgADAA8AJkASAwoKAgQEERAABw0HVFkNDwMiAD8%2FKxEAMxESATkRMzMRMzEwEzMTIQEUBiMiJjU0NjMyFqj0M%2F6mAV5aVlNbXVFUXAJe%2FDEFJVRWWFJRWVgAAQCP%2F%2BwEEAXLABsAREAjEQgaGgUbGwIXFwoCChwdGRNPWQgOT1kABQgZCBkIBhsZBgcAPz8SOTkvLxI5OSsrERIBOTkRMxESOREzMxEzMjEwJSQREBI3NTMVFhcHJiYjIgYVEDMyNjcVBgcVIwIz%2FlzR07KmhVpIfD55dO1ShGR%2FirKwOwH6AQUBHB%2BmnglB6x0kp6v%2BuR8t%2Fj0JvAABAFIAAARqBcsAHQBYQCwPEgsCCQ0NGhYWAhgQGBISEB4fDBgZGFFZCRkZABMSDxIPTlkSGAAFT1kABwA%2FKwAYPysREgA5ETkYLzMrEQAzERIBOTkRMxESOTkRMzMRMxI5EjkxMAEyFwcmIyIGFRUhFSEVFAchESE1NjY1NSM1MzU0NgK8w8NdnXNOVAF3%2FomXAs776GdNsrLlBctS5kBZU8Hbj6pO%2Fvz4LHJkkdvDydkAAgBxAP4EIQSqABsAJwA8QCIQDBMJBRcaAggADg4iHAAcHCgpFxMQGgIMCQUIBxUVHwclAC8zxjIREhc5ERIBOREzEMIyERIXOTEwEzQ3JzcXNjMyFzcXBxYVFAcXBycGIyInByc3JjcUFjMyNjU0JiMiBrw2gZN%2FW2ppW3%2BWgTU1fZJ%2FX2VzVH2RfzbPbVBRb3FPTm8C02Zff5N%2FNTeBj4FZbmtcfZF9MzN7kX1daE1vbk5QbnAAAAEABgAABIkFtgAWAHFAOA4SFBIVDRERAAkFAwUCCgYGAAAWAQECAhgWFRUXBhITElJZAAMBAxMPCg4PDlJZBw8PDAEVBgwYAD8%2FMxI5LzMrEQAzGBDGMhESOSsRADMRATMRMxEzETMREjkRMxEzEjk5ETMRMxEzEjk5ETMxMAEBIQEzFSMVMxUjFSE1IzUzNSM1MwEhAkgBCAE5%2FoHD9vb2%2FuH39%2Fe%2B%2FocBPANcAlr9FbKKst3dsoqyAusAAgHH%2Fi8CogYOAAMABwAjQA8CBgYDBwcICQQDBAMHAAAAPy85OS8vERIBOREzMxEzMTABMxEjETMRIwHH29vb2wYO%2FNH%2Bf%2FzRAAACAGr%2F7AN%2FBikALQA4AFVAKgoRFxEFBS4iACccHDMXABc5OgM2NhMZMTEqEyoOJR8lS1kfFggOS1kIAQA%2FKwAYPysREgA5OREzETMRMxEzERIBOTkRMzMRMxEzMzMRMxESOTEwEzQ2NyY1NDYzMhcHJiYjIgYVFBYXFhYVFAcWFhUUBiMiJzUWFjMyNTQmJicmJjcUFhc2NTQmJwYGeUg9hd%2B2qsFSRI1OUUpjcqOafT4%2F78nLklHGRsIlWlC3it%2BCdE5lhSU1AyVPgyhUlYOeVL4gMy4wMUotQKltsVMoaUqUr0%2FPKTl1JzAzIkqdi0NoLjlZRF4xDk8AAgEXBPgDxQYEAAsAFwAgQA0SDAAGAAAYGQ8DAxUJAC8zMxEzERIBOREzEMwyMTABNDYzMhYVFAYjIiYlNDYzMhYVFAYjIiYBF0tAQktMQUBLAZNRPEFNTkA8UQV9QUZKPTxJRj9GQUg%2FPUhBAAADAGT%2F7AZEBcsAFQAlADUAQkAfAw4JEw4TJi4mFi4eFh42NwULABELEQsRGioiEzIaBAA%2FMz8zEjk5Ly8RMxEzERIBOTkRMxEzERI5OREzETMxMAEiBhUQMzI2NxUGIyImNTQ2MzIXByYBNBIkMzIEEhUUAgQjIiQCNxQSBDMyJBI1NAIkIyIEAgN%2FYWrLOYQ5eITM4N3HlZxKcfx9yAFeysgBXsrC%2FqLQz%2F6iw46kARyipAEbo6T%2B5KKk%2FuWjA%2FKUg%2F7oHh2%2FOfrd3PVOqDr%2B6cgBXsrI%2FqLKxf6m0M8BWsak%2FuWjpAEcoqQBG6Ok%2FuQAAAIALwLwArgFxwAXACEAQUAeGAcBFxceEAcLCx4HHiIjDw0NHwsLEwEbGwAABBMfAD%2FEOS8yETMSOREzMhI5ERIBOTkRMxESOREzEjkRMzEwAScGBiMiJjU0Njc3NCMiByc2NjMyFhURJRQWMzI2NTUHBgIxHyt8SnV9pbljf1GIQkKfY4mV%2FkQuIE1ZY5EC%2FG46QHVqbW0JBHU9hyAyjoP%2BRtUmJFNBJAYKAAACAFIAXgSaBAQABgANAFxAKwoNDAkLCwwDBgIEBAEFDAgMDA8NBgYDBwAACgMDAgsEBAwFBQEOCQICCAEALzMzETMREjkvMzMRMxI5ETMzETMRMxEzEQEzETMQ1jIyETPBMhEzETMQwTIxMBMBFwEBBwElARcBAQcBUgFz2%2F7pARfb%2Fo0B%2BgFy3P7pARfc%2Fo4CPQHHd%2F6k%2FqR3AcUaAcd3%2FqT%2BpHcBxQABAFgA%2BAQ5Az8ABQAaQAoBAAAHAwEBBgMEAC8zEjkvATIRMxEzMTAlIxEhNSEEOdv8%2BgPh%2BAFs2wD%2F%2FwA9AagCVgKiAgYAEAAAAAQAZP%2FsBkQFywAMABUAJQA1AGZAMQQDAgUFBwAREQ0DDQcHCAMILiYmFi4eFh42NwIGBg0NBBUECBUJCAkICRoqIhMyGgQAPzM%2FMxI5OS8vETMRMxESOREzEjkREgE5OREzETMREjk5ETMRMxESOREzEjkRMxEzMTABFAcTIwMjESMRITIWATMyNjU0JiMjATQSJDMyBBIVFAIEIyIkAjcUEgQzMiQSNTQCJCMiBAIEhY%2Ft%2FrIv5QEItan%2Bfx9COThFHf1gyAFeysgBXsrC%2FqLQz%2F6iw46kARyipAEbo6T%2B5KKk%2FuWjA4mqP%2F5wAVL%2BrgOUjP7yOUJBNv7fyAFeysj%2BosrF%2FqbQzwFaxqT%2B5aOkARyipAEbo6T%2B5AAAAf%2F6BhQEBgbdAAMAErYABQEEAgEAAD8zEQEzETMxMAEhNSEEBvv0BAwGFMkAAAIAXAMZAxAFywAOABoAGEAJAA8PHBsSDBgEAC8zxDIREgE5ETMxMBM0NjYzMhYWFRQGBiMiJjcUFjMyNjU0JiMiBlxcoF5coV1doF2Ryb9ZQkJaW0FAWwRxXKBeXKJcXaFax5FAWlw%2BP15cAAIAWAAABDkFAgALAA8ANkAYDwcHBgoKCwwBAQMLCxARDQwLCQEBBgQCAC8zMzMRMzMvMxESATkRMzMRMxEzETMzETMxMAEhNSERMxEhFSERIwE1IRUB2%2F59AYPbAYP%2Bfdv%2BfQPhAqLbAYX%2Be9v%2Bf%2F7f29sAAQAvAkoCvgXLABYAKEASFQwBBgARAREXGAkOHwIVFQEgAD8zEjk%2FMxESATk5ETMzETMzMTABITU3NjY1NCYjIgcnNjMyFhUUBgcHIQK%2B%2FXngZjkwKFFje5O9iZ5egWkBYAJKqNtkWTImKFiYgYV1VZZ1XwABADsCOQK2BckAJQA%2BQB0UCwIZGQAAIAYgCxAGCwYmJwMUFBUVCRwjHw4JIQA%2FMz8zEjkvMxI5ERIBOTkRMxEzERI5ETMRMxI5MTABFAcVFhYVFAYjIic1FjMyNTQmIyM1MzI2NTQmIyIGByc2NjMyFgKaql5osLqPgpR7j1hOcFxTUTIzL1Q5ZT6XZ3%2BiBOGPNw0Ubk95i0a%2BWms1NaA0OSYyJiiNLz6AAAEBTATZA40GIQAIABxACwMEQAgAAAkKBIAAAC8azRESATkRMxrJMjEwATU2NyEVBgYHAUysPwFWNPtHBNkbyGUVNM0yAAABAKD%2BFASoBF4AGAA%2FQB8LBgYJCRoSFgAVFRYWGQcXDxYbEgwPAw8DR1kPFgoVAD8%2FKxESADk5GD8%2FMxEBMxEzETMSOREzETMSOTEwARQWMzI2NREhESMnIwYGIyImJxcXESERIQHRWF5%2BcgEx5ysPKnhYPmggBQX%2BzwExAdF5ea3EAg77opZVVS4sVZ3%2BwAZKAAEAcf78BI8GFAAPAC9AFQsQBAUBAAEBEBEICAEODgNNWQ4FAQAvMy8rERIAORgvERIBOREzEMQyETkxMAEjESMRIxEGIyImNRA2MyEEj6Gmoj5U2Mva6AJc%2FvwGUPmwAzMS%2BvsBBP4AAQB1AikB0wN9AAsAFUAJBgAADAMJVFkDAC8rEQEzETMxMBM0NjMyFhUUBiMiJnVaVlNbXVFUXALTVFZYUlFZWAAAAf%2Fb%2FhQBogAAABIANEAXEA0NBQUACwsTFBAQDRQNEwkOBgkJAxsAPzMRMy8REjkREjl8LxESATkRMzMSOREzMTAFFAYjIic1FhYzMjU0JzczBxYWAaKXnk5EG1sZSKZOwRtKWPqAchWoBw4%2BUxmaPRhlAAABAFwCSgJIBbYACgAqQBMECQAACAEBCwwIBwcBBAQJHgEgAD8%2FMxESOREzERIBOREzMxI5OTEwASMRNzcGBwcnJTMCSO4DBRswTm0BLb8CSgG%2BcF8kKj1%2F6wACADkC8ALhBccACwAXAB9ADQwGEgAGABgZDwMVCR8APzPEMhESATk5ETMRMzEwARQGIyImNTQ2MzIWBRQWMzI2NTQmIyIGAuG3n5m5s6OYuv4jQUhIPz9ISEEEXKvBxaepwsWmZGVlZGRjYwACAFIAXgSaBAQABgANAFpAKgsJCQoHCAQCAgMABQEIDAgIDg0GBgMHAAAKAwMECQICCAEBBQ4LBAQMBQAvMzMRMxESOS8zMxEzEjkRMzMRMxEzETMRATMRMxDWMsEyMxEzEMEyMxEzMTABAScBATcBBQEnAQE3AQSa%2Fo3bARb%2B6tsBc%2F4G%2Fo3bARb%2B6tsBcwIj%2Fjt3AVwBXHf%2BORr%2BO3cBXAFcd%2F45AP%2F%2FAC4AAAaSBbYAJgB60gAAJwDOAskAAAEHANMDnP23AAmzAwISGAA%2FNTUA%2F%2F8ALgAABrQFtgAmAHrSAAAnAM4CyQAAAQcAcwP2%2FbcAB7ICEBgAPzUA%2F%2F8AWgAABrAFyQAmAHQfAAAnAM4DEAAAAQcA0wO6%2FbcACbMDAi0YAD81NQAAAgA9%2FnkD1wReABsAJwBGQCQiHBwbAAAHBxQUDigOKQAbEBsCCQMbGyUlH1RZJQ8RCk9ZESMAPysAGD8rEQAzGC9fXl0RATMREjkRMxE5ETMzETMxMAEVFAYHBgYVFBYzMjY3FwYGIyImNTQ2NzY2NTUBFAYjIiY1NDYzMhYCyVlsbTlXWU%2B0YGZi92rc%2B2GPXzUBKFpWU1tdUVRcAl5KYo5NTlg%2FOUo6Kt04RcGpbJ5pRko9OwFWVFZYUlFZWAD%2F%2FwAAAAAFhQdzAiYAJAAAAQcAQgAGAVIACLMCFgUmACs1%2F%2F8AAAAABYUHcwImACQAAAEHAHUA0QFSAAizAhYFJgArNf%2F%2FAAAAAAWFB3MCJgAkAAABBwDAAFYBUgAIswIbBSYAKzX%2F%2FwAAAAAFhQdgAiYAJAAAAQcAwgBWAVIACLMCEgUmACs1%2F%2F8AAAAABYUHVgImACQAAAEHAGkAVgFSAAq0AwIjBSYAKzU1%2F%2F8AAAAABYUHCgImACQAAAEGAMF1WAAJswMCIwMAPzU1AAACAAAAAAclBbYADwATAG9APAYTAxATAxEEEQEKDg4BAQUMCAAAFQQFBRQQA0xZCg1MWQwKAQ0DEAoQCgEGEwkGCUxZBgMEEgEOTFkBEgA%2FKwAYPz8rEQAzERI5ORgvL19eXSsrEQEzETMRMxEzMxI5ETMRMxEzERIXOREzMTAhIREhAyEBIRUhESEVIREhASERIwcl%2FJf%2BFZb%2BxQKPBJb9zQIO%2FfICM%2FsdAXp%2FAVz%2BpAW2%2Fv6%2F%2Fv6HAWACTgD%2F%2FwB3%2FhQE0QXLAiYAJgAAAAcAeQIdAAD%2F%2FwC4AAAEAgdzAiYAKAAAAQcAQv%2B3AVIACLMBFAUmACs1%2F%2F8AuAAABAIHcwImACgAAAEHAHUAXAFSAAizARQFJgArNf%2F%2FAK8AAAQUB3MCJgAoAAABBwDA%2F%2FUBUgAIswEZBSYAKzX%2F%2FwC4AAAEAgdWAiYAKAAAAQcAaf%2F5AVIACrQCASEFJgArNTUAAgAvAAAFdQW2AAwAGABIQCQNBgYaFBIWFgwBCgoZFQwADExZEgAACgIKFkxZChICEUxZAgMAPysAGD8rERIAORgvMysRADMRATMRMzMzETMzETMRMzEwEzMRISAAERAAISERIyU0JiMjETMVIxEzIC%2BJAcsBZgGM%2FmX%2BfP5iiQQE0NKj7e2DAcIDUgJk%2Fob%2Brf6X%2FoACVI3o7%2F6a%2Fv6s%2F%2F8AuAAABckHYAImADAAAAEHAMIA0wFSAAizARQFJgArNf%2F%2FAHf%2F7AXnB3MCJgAxAAABBwBCAHUBUgAIswIeBSYAKzX%2F%2FwB3%2F%2BwF5wdzAiYAMQAAAQcAdQFGAVIACLMCHgUmACs1%2F%2F8Ad%2F%2FsBecHcwImADEAAAEHAMAAwwFSAAizAiMFJgArNf%2F%2FAHf%2F7AXnB2ACJgAxAAABBwDCAMMBUgAIswIaBSYAKzX%2F%2FwB3%2F%2BwF5wdWAiYAMQAAAQcAaQDDAVIACrQDAisFJgArNTUAAQCBAQwEEASaAAsAHUALBgMACQkMDQkGAwAAGS8yMjIREgE5ETMzMzEwAQE3AQEXAQEHAQEnAaz%2B1ZgBLQExmf7PAS2V%2Fs%2F%2B05YC0wEtmv7VASuW%2Fs%2F%2B0ZgBLf7VmAAAAwB3%2F6YF5wYEABMAGwAiADlAHBcfHBQUChwACgAjJBYeIRkNGUxZDQQDIUxZAxMAPysAGD8rERIAOTkREgE5OREzETMREjk5MTABEAAhIicHJzcmERAAITIXNxcHFgEUFwEmIyIGBTQnARYzIAXn%2Fpj%2BsMWLWqJaxgFpAVHGklSgWML71TgB%2BlRpubwC5jP%2BDExoAXMC3f6V%2FnpBh2yIwgGDAW0BgUZ9aIPC%2Foa%2FdAL0Lfn1tHX9ESf%2F%2FwCu%2F%2BwFXgdzAiYANwAAAQcAQgArAVIACLMBGwUmACs1%2F%2F8Arv%2FsBV4HcwImADcAAAEHAHUBDgFSAAizARsFJgArNf%2F%2FAK7%2F7AVeB3MCJgA3AAABBwDAAJoBUgAIswEgBSYAKzX%2F%2FwCu%2F%2BwFXgdWAiYANwAAAQcAaQCaAVIACrQCASgFJgArNTX%2F%2FwAAAAAE%2FgdzAiYAOwAAAQcAdQCBAVIACLMBEQUmACs1AAIAuAAABKoFtgAMABUANkAcEQAAFw0JBQUGBhYEDU1ZCRVNWQQJBAkGBwMGEgA%2FPxI5OS8vKysRATMRMxEzMxEzETMxMAEUBCEjESERIRUzMgQBMzI2NTQmIyMEqv7j%2FvqZ%2FsoBNrL%2BAQz9RGSRjn%2BIfAMC5fj%2B2wW25e7%2BPGl6a2gAAAEAoP%2FsBWgGHwA1AFRAKxQHISEnJwAALhoODjcuLy82DhohBwAnJwcaAxgqMypHWTMALxURGEpZERYAPysAGD8%2FKxESABc5ETMRMxEzEQEzETMRMxEzEjkRMxE5ETMzMTABFA4EFRQWFx4CFRQGIyImJzUWFjMyNTQmJicmJjU0Njc2NjU0JiMiBhURIRE0JCEyBAThKkBKQCo1QpJpM%2BnjY5A8NaVAqCBSSn5iRkZNPn9kdIL%2BzwElAQL0ASYE2UBhTDowKhYbNChbYnpOrK4dIvIkMnspMzwqSHdRQGoxN1AuPFFpYPuYBHPJ47EA%2F%2F8AVv%2FsBDsGIQImAEMAAAEGAEKjAAAIswIrESYAKzX%2F%2FwBW%2F%2BwEOwYhAiYAQwAAAQYAdW0AAAizAisRJgArNf%2F%2FAFb%2F7AQ7BiACJgBDAAABBgDA9%2F8ACLMCMBEmACs1%2F%2F8AVv%2FsBDsGDgImAEMAAAEGAMIKAAAIswInESYAKzX%2F%2FwBW%2F%2BwEOwYEAiYAQwAAAQYAaQYAAAq0AwI4ESYAKzU1%2F%2F8AVv%2FsBDsGsgImAEMAAAEGAMEpAAAKtAMCJhEmACs1NQADAFb%2F7Ab%2BBHUAKAAyADgAhUBFNTYDGCAgMhQNDTIyCTY2Jh8fOi0JCTklICM1IEpZNTUGAxgAGxszSlkbEA0pS1kNDRYGFhFGWRYQACNGWQAGBi9GWQYWAD8rEQAzKwAYPysREgA5GC8rABg%2FKxESADk5EjkYLysREgA5EQEzETMRMxEzMxESOREzETkRMxI5ORE5MTAFIiYnBgYjIiY1NDY3NzU0JiMiByc2MzIXNjYzMgAVFSEWFjMyNxUGBgEHBgYVFDMyNjUBIgchJiYFMYnhSGLFnqHD8vG%2FWU2MpWO96eNzQq143QEA%2FS0FkILEuE%2B4%2FUFxfHyMZXgCI9kRAa4CahRlaXVZvaWyqQkGVEVCTcplg0BB%2Fu3plIKSWOwnKAIaBARXW4F6ZQHw7HB8AP%2F%2FAFz%2BFAPdBHMCJgBFAAAABwB5AYMAAP%2F%2FAFz%2F7ARiBiECJgBHAAABBgBCqQAACLMCJBEmACs1%2F%2F8AXP%2FsBGIGIQImAEcAAAEGAHVzAAAIswIkESYAKzX%2F%2FwBc%2F%2BwEYgYhAiYARwAAAQYAwAgAAAizAikRJgArNf%2F%2FAFz%2F7ARiBgQCJgBHAAABBgBpEgAACrQDAjERJgArNTX%2F%2F%2F%2BbAAAB3AYhAiYAvQAAAQcAQv5PAAAACLMBDBEmACs1%2F%2F8AkQAAAtIGIQImAL0AAAEHAHX%2FRQAAAAizAQwRJgArNf%2F%2F%2F4YAAALrBiECJgC9AAABBwDA%2FswAAAAIswERESYAKzX%2F%2F%2F%2FjAAACkQYEAiYAvQAAAQcAaf7MAAAACrQCARkRJgArNTUAAgBc%2F%2BwEmAYjABsAJwB2QDsAGQIXFxwFCAMLAwICERwcCwspIhERKBkAGAIFCAMJCRgYAhYWHxQUH0ZZFBQOAg4lRlkOFgMCS1kDAQA%2FKwAYPysREgA5GC8rERIAORESOREzERI5ORESOTkRATMRMxEzETMREjkRMxESOTkRMxESOTkxMAEmJzcWFzcXBxYSFRAAIyIANTQAMzIXNyYnBycBNCYjIgYVFBYzMjYB%2FlBIZZBy4WSqnJT%2B3v%2F1%2FtoBBN3NRghDfeZkAhJ6a3lveHB7agUXNSewQUyLmmiP%2FpXo%2Fuj%2BxwES6%2BkBEWIEoneOnP1obIKJkoyOpAD%2F%2FwCgAAAEqAYOAiYAUAAAAQYAwjMAAAizARkRJgArNf%2F%2FAFz%2F7ASYBiECJgBRAAABBgBCoQAACLMCIhEmACs1%2F%2F8AXP%2FsBJgGIQImAFEAAAEHAHUAhwAAAAizAiIRJgArNf%2F%2FAFz%2F7ASYBiECJgBRAAABBgDADAAACLMCJxEmACs1%2F%2F8AXP%2FsBJgGDgImAFEAAAEGAMIMAAAIswIeESYAKzX%2F%2FwBc%2F%2BwEmAYEAiYAUQAAAQYAaQwAAAq0AwIvESYAKzU1AAMAWADdBDkExwADAA8AGwAqQBIWCgoQBAQAAwMdABwZEw0HAAEALzPEMsQyEQEzETMREjkRMzMRMzEwEzUhFQU0NjMyFhUUBiMiJhE0NjMyFhUUBiMiJlgD4f2DSkJCSUpBQUtKQkNISkFBSwJk29vvTEtOSUZSTgMES01RR0ZRTgADAFz%2FtASYBJEAEwAbACMAOUAcFx8cFBQKHAAKACUkFh4hGQ0ZR1kNEAMhR1kDFgA%2FKwAYPysREgA5ORESATk5ETMRMxESOTkxMAEQACEiJwcnNyYREAAhMhc3FwcWARQXASYjIgYFNCcBFjMyNgSY%2FuD%2B%2F35sQ5pEmAEeAQOEdDeYOo78%2BxMBPSs%2FemwBzQz%2ByyY2emsCMf7v%2FswtZWlknAEUARIBMDRSbFSb%2FvteSAHbF6WnUTz%2BMg%2Bp%2F%2F8Amv%2FsBKIGIQImAFcAAAEGAEKpAAAIswEdESYAKzX%2F%2FwCa%2F%2BwEogYhAiYAVwAAAQcAdQCmAAAACLMBHREmACs1%2F%2F8Amv%2FsBKIGIQImAFcAAAEGAMAxAAAIswEiESYAKzX%2F%2FwCa%2F%2BwEogYEAiYAVwAAAQYAaS8AAAq0AgEqESYAKzU1%2F%2F8AAP4UBI0GIQImAFsAAAEGAHU9AAAIswEfESYAKzUAAgCg%2FhQEtAYUABUAIQBEQCIfBgYjFQwQGhMPDxAQIhEAEBsMFQkDCR1HWQkWAxZHWQMQAD8rABg%2FKxESADk5GD8%2FEQEzETMRMzMSOTkRMxEzMTABNjYzMhIREAIjIicjFxcRIREhEQcHFyIGBxUUFjMyETQmAdEyomnG4N%2FH1WgOBwf%2BzwExBwfpcWgCa3TNZQPNUVX%2By%2F7z%2Fu%2F%2BzIk%2BXv47CAD%2BeXhITougIbScAVKlpQD%2F%2FwAA%2FhQEjQYEAiYAWwAAAQYAadwAAAq0AgEsESYAKzU1AAEAoAAAAdEEXgADABO3AAEBBAIPARUAPz8RATMRMzEwISERIQHR%2Fs8BMQReAAACAHf%2F7AdQBc0AFgAjAGVANhEVFQ0BICAHEw8AACUaBwckERRMWQwRAQ0DEREBDQ0QTFkNAwoXTFkKBAQdTFkEEgEVTFkBEgA%2FKwAYPysAGD8rABg%2FKxESADkYL19eXSsRATMRMxEzETMzEjkRMzMzETMxMCEhBgYjIAAREAAhMhYXIRUhESEVIREhASIGFRQWMzI2NxEmJgdQ%2FJcmji3%2Bwf6wAVMBPj2EIwNk%2Fc0CDv3yAjP7uKasrKRBeiYjhQkLAYoBaQFrAYMOCf7%2Bv%2F7%2BhwPL%2B%2FP0%2BRUSA4sTFgADAFz%2F7Ad7BHMAHwArADIAcEA6LzAOAhUVJiYIMDAdFBQ0IAgIMxwVGS8VSlkvLwAQECxKWRAQAg4ECwspR1kLEAAZRlkABAQjR1kEFgA%2FKxEAMysAGD8rERIAOTkYPysREgA5GC8rERIAOREBMxEzETMRMzMREjkRMxI5ORE5MTAFICcGIyImAjUQACEyFhc2MzIAFRUhFRYWMzI2NxUGBgEUFjMyNjU0JiMiBiUiBgchJiYFpv7xlY36oviFARsBAnDIR5Dv9AEQ%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%2B9eoAAAEAGQPBAaQFtgAGABdACQMEAQYGBwQGAwA%2FxhEBMxEzwjIxMAEXBgMjEjcBlg4yfttFHwW2FsX%2B5gEozQAAAQA%2F%2FvgBywDuAAYAGEAJAgMFAAUFBwMGAC%2FNEQEzETMQwjIxMCUGAyMSNyEByzR83EEkARjXyv7rAQrsAAACABkDwQN3BbYABwAPACVAEAsMCA4DBAYABgYRBw8DCwMAPzPNMhEBMxEzEMIy1DLCMjEwATYSNzMCByElNhI3MwIHIQHsFmU120Ij%2Fuj%2BHxZlNdtCI%2F7oA9dbARNx%2FvXqFlsBE3H%2B9eoAAgAZA8EDdwW2AAYADQAjQA8JCgcMAgMABQUOCgMMBQMAPzPGMhEBMxEzwjLUMsIyMTABBgMjEjchBQYDIxI3IQGkMn7bRR8BGQHhMn7bRR8BGAWgxf7mASjNFsX%2B5gEozQACAD%2F%2B%2BAOeAO4ABgANACJADgkKBwwCAwAFBQ4KAwwFAC8zxjIRATMRM8Iy1DLCMjEwJQYDIxI3IQUGAyMSNyEByzR83EEkARgB4jR83EEkARjXyv7rAQrsF8r%2B6wEK7AABAGIBrgKgBCkACwATtgYAAAwNCQMAL80REgE5ETMxMBM0NjMyFhUUBiMiJmKUi4mWl4iKlQLsmqOkmZimpgAAAQBSAF4CoAQEAAYAMEAVAwYCBAQBBQUIBgADAwIEBAUFBwIBAC8zEjkvMxESOREzMxEBMxEzMxEzwTIxMBMBFwEBBwFSAXPb%2FukBF9v%2BjQI9Acd3%2FqT%2BpHcBxQABAFIAXgKgBAQABgAwQBUEAgIDAAUBAQcGAAMDBAICAQEHBAUALzMSOS8zERI5ETMzEQEzETPBMjMRMzEwAQEnAQE3AQKg%2Fo3bARb%2B6tsBcwIj%2Fjt3AVwBXHf%2BOQAAAf53AAACkQW2AAMAGkALAwACAQICBAMDAhIAPz8RATMRMxDBMjEwAQEjAQKR%2FNXvAysFtvpKBbYAAAEAQv%2FsBIMFwQAnAIxASAYDCCUlHB8kGRYbCQwRESQLBQUIJCQpFx0dCBsbKAwXFwkYBh0eHVJZAx4PHn8eAgsDGB4YHhMiJQAiAE9ZIgcQDhMOTlkTGQA%2FKxEAMxg%2FKxEAMxESOTkYLy9fXl0RMysRADMRMzMRMxEBMxEzMxEzETMREjkRMxEzETk5Ejk5ETk5MxESOTkxMAEiBgchFSEHFRchFSEWITI3EQYjIgAnIzUzJjU3IzUzNgAzMhcHJiYDI3qeFwGT%2Fl4CAgFj%2Fq4zAQ6PhHSx9f7EKYl2BAJ0hSUBRPO8pGJFeATJjYawIy8hsvM5%2FwA7AQrrshcnNbDyARlS6B8jAAEAWAJkBDkDPwADABG1AgUABAABAC8zEQEzETMxMBM1IRVYA%2BECZNvb%2F%2F8AKQAABPgGHwAmAEgAAAAHAEsDGQAA%2F%2F8AKQAABOoGHwAmAEgAAAAHAE4DGQAAAAIADAJKAvYFvAAKABIAQkAfEgUHDgILAwMJAAIFAhMUDgkHCQYSAQUFEhIDBx4DIAA%2FPxI5LzMRMxI5MhESORESATk5ETMzMxEzEjk5ETMxMAEjFSM1ITUBMxEzITU0NwYGBwcC9n3u%2FoEBgex9%2FpUGCTUPfwLhl5eaAkH9zaRWYhpsF7%2F%2F%2FwApAAAIDgYfACYASAAAACcASAMZAAAABwBLBi8AAP%2F%2FACkAAAgABh8AJgBIAAAAJwBIAxkAAAAHAE4GLwAA%2F%2F8AKQAABo4GHwAmAEgAAAAHAEgDGQAAAAEAuAAAAe4FtgADABG2AAQFAQMAEgA%2FPxESATkxMDMRIRG4ATYFtvpK%2F%2F%2F%2FxgAAAgcHcwImANcAAAEHAEL%2BegFSAAizAQwFJgArNf%2F%2FAKcAAALoB3MCJgDXAAABBwB1%2F1sBUgAIswEMBSYAKzX%2F%2F%2F%2BgAAADBQdzAiYA1wAAAQcAwP7mAVIACLMBEQUmACs1%2F%2F%2F%2F%2FQAAAqsHVgImANcAAAEHAGn%2B5gFSAAq0AgEZBSYAKzU1AAEAAADcAIoAFgBYAAUAAgAQAC8AXAAAAQABCwADAAEAAAAkACQAJAAkAFYAegDvAXoB6AJwAogCtQLiAyADSwNoA30DngO8A%2F4EKwR5BOEFKgWFBeAGCgZ9BtkHEQdIB3EHlwfCCB4IrgjyCVIJlAnLCgYKNQqKCr8K6gspC0gLjgvJDAsMSgygDPMNUw15Da4N4A48Dn4Osg7nDwkPJw9JD3UPjA%2BvEAkQXRCZEOwRQhGEEiASXhKKEscTDhMlE4ETvBP%2FFFQUqhTcFTQVdhWyFeQWQBaFFtQXCRdUF2sXuhf6F%2FoYKxh6GNMZLxmNGbIaLxpmGt8bNRuJG6Ybrhw8HFMciRzDHP0dUh11Hb4d8h4THk0eeh6wHwQfGh8vH0UfpR%2B2H8cf2B%2FpH%2FsgDCBrIHcgiCCZIKogvCEMIR0hLiE%2FIVAhYSFzIaMiACIRIiIiMyJFIlYimCMQIyAjMCNAI1AjYSNyJAskFyQnJDckRyRYJGkkeiSLJJ0lGyUrJTslTCVcJWwlfSW%2BJhwmLCY9Jk0mXiZuJsgm2SbwJ18n5ygYKE4ojyikKLko2ij5KRgpTSl%2BKa4pzin8KisqSCrMKuEq7Sr5KzwrTCtcK2grfSuOK58rsCvCAAAAAQAAAAEZmh1fuTtfDzz1AAkIAAAAAADJQhegAAAAAMnoSqH7DP2oCo0IjQABAAkAAgAAAAAAAATNAMEAAAAABBQAAAIUAAACSgB1A8cAhQUrAC0EkQBYBzUAPwYAAFICIQCFArYAUgK2AD0EXAA%2FBJEAWAJSAD8CkwA9AkgAdQNOAA4EkQBKBJEAeQSRAE4EkQBOBJEAIwSRAGQEkQBIBJEANwSRAEgEkQBCAkgAdQJSAD8EkQBYBJEAWASRAFgD0QAGBy0AZgWFAAAFYAC4BRkAdwXsALgEewC4BGQAuAXLAHcGHwC4Aqb%2FaAVQALgEhQC4B4sAuAaBALgGXgB3BQYAuAZeAHcFSAC4BGgAXgSiACkGDACuBTMAAAe8AAAFVgAABP4AAASiADECpgCPA04ADAKmADMEQgAIA0r%2F%2FATbAUwE1QBWBRAAoAQdAFwFEABcBLoAXAMZACkEhQAGBUIAoAJxAJMCcf99BPYAoAJxAKAH2wCgBUIAoAT0AFwFEACgBRAAXAOiAKAD%2BgBcA3kALwVCAJoEjQAABtkAFASgAAoEjQAAA%2BcANwMnAB8EaAHHAycAUgSRAFgCFAAAAkoAdQSRAI8EkQBSBJEAcQSRAAYEaAHHA%2BMAagTbARcGqABkAxAALwTsAFIEkQBYApMAPQaoAGQEAP%2F6A20AXASRAFgDCAAvAwgAOwTbAUwFSACgBT0AcQJIAHUBpP%2FbAwgAXAMbADkE7ABSBwwALgcMAC4HDABaA9EAPQWFAAAFhQAABYUAAAWFAAAFhQAABYUAAAeeAAAFGQB3BHsAuAR7ALgEewCvBHsAuAXsAC8GgQC4Bl4AdwZeAHcGXgB3Bl4AdwZeAHcEkQCBBl4AdwYMAK4GDACuBgwArgYMAK4E%2FgAABQYAuAWwAKAE1QBWBNUAVgTVAFYE1QBWBNUAVgTVAFYHVgBWBB0AXAS6AFwEugBcBLoAXAS6AFwCcf%2BbAnEAkQJx%2F4YCcf%2FjBPQAXAVCAKAE9ABcBPQAXAT0AFwE9ABcBPQAXASRAFgE9ABcBUIAmgVCAJoFQgCaBUIAmgSNAAAFEACgBI0AAAJxAKAHyQB3B9MAXATbALoEngFUBNsAzwQAAFIIAABSAbwAGQG8ABkCVAA%2FA48AGQOPABkEJQA%2FAwIAYgLyAFIC8gBSAQr%2BdwSRAEIEkQBYBYkAKQWJACkDCAAMCKAAKQigACkGMQApAqYAuP%2FGAKf%2FoP%2F9AAEAAAiN%2FagAAAqN%2Bwz%2BeQqNAAEAAAAAAAAAAAAAAAAAAADYAAMFDwK8AAUACAWaBTMAAAEfBZoFMwAAA9EAZgH8CAICCwgGAwUEAgIE4AAC70AAIFsAAAAoAAAAADFBU0MAIAAg%2F%2F0GH%2F4UAIQIjQJYIAABnwAAAAAEXgW2AAAAIAADAAAAAQADAAEAAAAMAAQAuAAAACoAIAAEAAoASABJAH4AywDPAP8BMQFTAsYC2gLcIBQgGiAeICIgOiBEIHQgrCIS%2F%2F8AAAAgAEkASgCgAMwA0AExAVICxgLaAtwgEyAYIBwgIiA5IEQgdCCsIhL%2F%2F%2F%2FjAI7%2F4v%2FBAAz%2Fvf%2BM%2F2z9%2Bv3n%2FebgsOCt4KzgqeCT4IrgX%2BAj3r4AAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBHW1pZWFVUU1JRUE9OTUxLSklIR0ZFRENCQUA%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%2F4BiIyAQI4qxDAyKcEVgILAAUFiwAWG4%2F7qLG7BGjFmwEGBoATpZLSwgRbADJUZSS7ATUVtYsAIlRiBoYbADJbADJT8jITgbIRFZLSwgRbADJUZQWLACJUYgaGGwAyWwAyU%2FIyE4GyERWS0sALAHQ7AGQwstLCEhDGQjZIu4QABiLSwhsIBRWAxkI2SLuCAAYhuyAEAvK1mwAmAtLCGwwFFYDGQjZIu4FVViG7IAgC8rWbACYC0sDGQjZIu4QABiYCMhLSxLU1iKsAQlSWQjRWmwQIthsIBisCBharAOI0QjELAO9hshI4oSESA5L1ktLEtTWCCwAyVJZGkgsAUmsAYlSWQjYbCAYrAgYWqwDiNEsAQmELAO9ooQsA4jRLAO9rAOI0SwDu0birAEJhESIDkjIDkvL1ktLEUjRWAjRWAjRWAjdmgYsIBiIC0ssEgrLSwgRbAAVFiwQEQgRbBAYUQbISFZLSxFsTAvRSNFYWCwAWBpRC0sS1FYsC8jcLAUI0IbISFZLSxLUVggsAMlRWlTWEQbISFZGyEhWS0sRbAUQ7AAYGOwAWBpRC0ssC9FRC0sRSMgRYpgRC0sRiNGYIqKRiMgRopgimG4%2F4BiIyAQI4qxDAyKcEVgILAAUFiwAWG4%2F4CLG7CBjFloOi0sSyNRWLkAM%2F%2FgsTQgG7MzADQAWURELSywFkNYsAMmRYpYZGawH2AbZLAgYGYgWBshsEBZsAFhWSNYZVmwKSNEIxCwKeAbISEhISFZLSywAkNUWEtTI0tRWlg4GyEhWRshISEhWS0ssBZDWLAEJUVksCBgZiBYGyGwQFmwAWEjWBtlWbApI0SwBSWwCCUIIFgCGwNZsAQlELAFJSBGsAQlI0I8sAQlsAclCLAHJRCwBiUgRrAEJbABYCNCPCBYARsAWbAEJRCwBSWwKeCwKSBFZUSwByUQsAYlsCngsAUlsAglCCBYAhsDWbAFJbADJUNIsAQlsAclCLAGJbADJbABYENIGyFZISEhISEhIS0sArAEJSAgRrAEJSNCsAUlCLADJUVIISEhIS0sArADJSCwBCUIsAIlQ0ghISEtLEUjIEUYILAAUCBYI2UjWSNoILBAUFghsEBZI1hlWYpgRC0sS1MjS1FaWCBFimBEGyEhWS0sS1RYIEWKYEQbISFZLSxLUyNLUVpYOBshIVktLLAAIUtUWDgbISFZLSywAkNUWLBGKxshISEhWS0ssAJDVFiwRysbISEhWS0ssAJDVFiwSCsbISEhIVktLLACQ1RYsEkrGyEhIVktLCCKCCNLU4pLUVpYIzgbISFZLSwAsAIlSbAAU1ggsEA4ERshWS0sAUYjRmAjRmEjIBAgRophuP%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%2Fx9QTBYfT01kH05MZB8mNBBVJTMkVRkT%2Fx8HBP8fBgP%2FH01MHh9kTAFMRg0fEzMSVQUBA1UEMwNVHwMBDwM%2FA68DAwZLRstG20YDIzMiVRwzG1UWMxVVEQEPVRAzD1WvD88PAjAPAQEzAFVvAH8ArwDvAAQQAAGAFgEFAbgBkLFUUysrS7gH%2F1JLsAlQW7ABiLAlU7ABiLBAUVqwBoiwAFVaW1ixAQGOWYWNjQBCHUuwMlNYsCAdWUuwZFNYsBAdsRYAQllzcytzcysrKysrc15zdCsrKyt0KysrKysrKysrKysrKxheBhQAFwAABbYAFwB1BbYFzQAAAAAAAAAAAAAAAAAABF4AFwB7AAD%2F7AAAAAD%2F7AAAAAD%2F7AAA%2FhT%2F7AAABbYAFfyU%2F%2Bv%2Bj%2F%2Fg%2Frz%2F7AAS%2FlYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAAAAAAAA5QD2AQABKwDTALIBAgD2AQIA9gDtAN8AsgAAAVQAAAAAAAEAAB6MAAEFFRgAAAoGfgAFACT%2FcQAFADYAKQAFADgAKQAFADkAKQAFADsAFAAFAEP%2FrgAFAEX%2FhQAFAEb%2FhQAFAEf%2FhQAFAEn%2FwwAFAE%2F%2FwwAFAFD%2FwwAFAFH%2FhQAFAFL%2FwwAFAFP%2FhQAFAFT%2FwwAFAFX%2FwwAFAFf%2FwwAFAIH%2FcQAFAIL%2FcQAFAIP%2FcQAFAIT%2FcQAFAIX%2FcQAFAIb%2FcQAFAJoAFAAFAJ3%2FhQAFAJ7%2FrgAFAJ%2F%2FrgAFAKD%2FrgAFAKH%2FrgAFAKL%2FrgAFAKP%2FrgAFAKT%2FhQAFAKX%2FhQAFAKb%2FhQAFAKf%2FhQAFAKj%2FhQAFAK%2F%2FhQAFALD%2FhQAFALH%2FhQAFALL%2FhQAFALP%2FhQAFALX%2FhQAFALb%2FwwAFALf%2FwwAFALj%2FwwAFALn%2FwwAFAL%2F%2FhQAKACT%2FcQAKADYAKQAKADgAKQAKADkAKQAKADsAFAAKAEP%2FrgAKAEX%2FhQAKAEb%2FhQAKAEf%2FhQAKAEn%2FwwAKAE%2F%2FwwAKAFD%2FwwAKAFH%2FhQAKAFL%2FwwAKAFP%2FhQAKAFT%2FwwAKAFX%2FwwAKAFf%2FwwAKAIH%2FcQAKAIL%2FcQAKAIP%2FcQAKAIT%2FcQAKAIX%2FcQAKAIb%2FcQAKAJoAFAAKAJ3%2FhQAKAJ7%2FrgAKAJ%2F%2FrgAKAKD%2FrgAKAKH%2FrgAKAKL%2FrgAKAKP%2FrgAKAKT%2FhQAKAKX%2FhQAKAKb%2FhQAKAKf%2FhQAKAKj%2FhQAKAK%2F%2FhQAKALD%2FhQAKALH%2FhQAKALL%2FhQAKALP%2FhQAKALX%2FhQAKALb%2FwwAKALf%2FwwAKALj%2FwwAKALn%2FwwAKAL%2F%2FhQALACwAuAAPACb%2FmgAPACr%2FmgAPADH%2FmgAPADP%2FmgAPADb%2FcQAPADf%2F1wAPADj%2FhQAPADn%2FhQAPADv%2FhQAPAIj%2FmgAPAI%2F%2FmgAPAJD%2FmgAPAJH%2FmgAPAJL%2FmgAPAJP%2FmgAPAJX%2FmgAPAJb%2F1wAPAJf%2F1wAPAJj%2F1wAPAJn%2F1wAPAJr%2FhQAPAL7%2FmgAQADb%2FrgARACb%2FmgARACr%2FmgARADH%2FmgARADP%2FmgARADb%2FcQARADf%2F1wARADj%2FhQARADn%2FhQARADv%2FhQARAIj%2FmgARAI%2F%2FmgARAJD%2FmgARAJH%2FmgARAJL%2FmgARAJP%2FmgARAJX%2FmgARAJb%2F1wARAJf%2F1wARAJj%2F1wARAJn%2F1wARAJr%2FhQARAL7%2FmgAkAAX%2FcQAkAAr%2FcQAkACb%2F1wAkACr%2F1wAkACwBCgAkADH%2F1wAkADP%2F1wAkADb%2FcQAkADj%2FrgAkADn%2FrgAkADv%2FhQAkAIj%2F1wAkAI%2F%2F1wAkAJD%2F1wAkAJH%2F1wAkAJL%2F1wAkAJP%2F1wAkAJX%2F1wAkAJr%2FhQAkAL7%2F1wAkAMb%2FcQAkAMn%2FcQAlAA%2F%2FrgAlABH%2FrgAlACT%2F1wAlADb%2FwwAlADj%2F7AAlADn%2F7AAlADr%2F1wAlADv%2F7AAlADz%2F7AAlAIH%2F1wAlAIL%2F1wAlAIP%2F1wAlAIT%2F1wAlAIX%2F1wAlAIb%2F1wAlAJr%2F7AAlAMf%2FrgAlAMr%2FrgAmACb%2F1wAmACr%2F1wAmADH%2F1wAmADP%2F1wAmAIj%2F1wAmAI%2F%2F1wAmAJD%2F1wAmAJH%2F1wAmAJL%2F1wAmAJP%2F1wAmAJX%2F1wAmAL7%2F1wAnAA%2F%2FrgAnABH%2FrgAnACT%2F1wAnADb%2FwwAnADj%2F7AAnADn%2F7AAnADr%2F1wAnADv%2F7AAnADz%2F7AAnAIH%2F1wAnAIL%2F1wAnAIP%2F1wAnAIT%2F1wAnAIX%2F1wAnAIb%2F1wAnAJr%2F7AAnAMf%2FrgAnAMr%2FrgAoACwAewApAA%2F%2FhQApABH%2FhQApACIAKQApACT%2F1wApAIH%2F1wApAIL%2F1wApAIP%2F1wApAIT%2F1wApAIX%2F1wApAIb%2F1wApAMf%2FhQApAMr%2FhQAtACb%2F1wAtACr%2F1wAtADH%2F1wAtADP%2F1wAtAIj%2F1wAtAI%2F%2F1wAtAJD%2F1wAtAJH%2F1wAtAJL%2F1wAtAJP%2F1wAtAJX%2F1wAtAL7%2F1wAuAAX%2FXAAuAAr%2FXAAuACb%2F1wAuACr%2F1wAuADH%2F1wAuADP%2F1wAuADb%2F1wAuADf%2F7AAuADj%2F1wAuADn%2F1wAuADv%2FwwAuAIj%2F1wAuAI%2F%2F1wAuAJD%2F1wAuAJH%2F1wAuAJL%2F1wAuAJP%2F1wAuAJX%2F1wAuAJb%2F7AAuAJf%2F7AAuAJj%2F7AAuAJn%2F7AAuAJr%2FwwAuAL7%2F1wAuAMb%2FXAAuAMn%2FXAAxAA%2F%2FrgAxABH%2FrgAxACT%2F1wAxADb%2FwwAxADj%2F7AAxADn%2F7AAxADr%2F1wAxADv%2F7AAxADz%2F7AAxAIH%2F1wAxAIL%2F1wAxAIP%2F1wAxAIT%2F1wAxAIX%2F1wAxAIb%2F1wAxAJr%2F7AAxAMf%2FrgAxAMr%2FrgAyAA%2F%2B9gAyABH%2B9gAyACT%2FmgAyADr%2F1wAyADz%2F7AAyAIH%2FmgAyAIL%2FmgAyAIP%2FmgAyAIT%2FmgAyAIX%2FmgAyAIb%2FmgAyAMf%2B9gAyAMr%2B9gAzAA%2F%2FrgAzABH%2FrgAzACT%2F1wAzADb%2FwwAzADj%2F7AAzADn%2F7AAzADr%2F1wAzADv%2F7AAzADz%2F7AAzAIH%2F1wAzAIL%2F1wAzAIP%2F1wAzAIT%2F1wAzAIX%2F1wAzAIb%2F1wAzAJr%2F7AAzAMf%2FrgAzAMr%2FrgA2AA%2F%2FhQA2ABD%2FrgA2ABH%2FhQA2ACIAKQA2ACT%2FcQA2ACb%2F1wA2ACr%2F1wA2ADH%2F1wA2ADP%2F1wA2ADYAKQA2AEP%2FXAA2AEX%2FcQA2AEb%2FcQA2AEf%2FcQA2AEn%2FcQA2AE%2F%2FmgA2AFD%2FmgA2AFH%2FcQA2AFL%2FmgA2AFP%2FcQA2AFT%2FmgA2AFX%2FhQA2AFf%2FmgA2AFj%2F1wA2AFn%2F1wA2AFr%2F1wA2AFv%2F1wA2AFz%2FrgA2AIH%2FcQA2AIL%2FcQA2AIP%2FcQA2AIT%2FcQA2AIX%2FcQA2AIb%2FcQA2AIj%2F1wA2AI%2F%2F1wA2AJD%2F1wA2AJH%2F1wA2AJL%2F1wA2AJP%2F1wA2AJX%2F1wA2AJ3%2FcQA2AJ7%2FXAA2AJ%2F%2FXAA2AKD%2FXAA2AKH%2FXAA2AKL%2FXAA2AKP%2FXAA2AKT%2FcQA2AKX%2FcQA2AKb%2FcQA2AKf%2FcQA2AKj%2FcQA2AK%2F%2FcQA2ALD%2FcQA2ALH%2FcQA2ALL%2FcQA2ALP%2FcQA2ALX%2FcQA2ALb%2FmgA2ALf%2FmgA2ALj%2FmgA2ALn%2FmgA2ALr%2F1wA2AL7%2F1wA2AL%2F%2FcQA2AMP%2FrgA2AMT%2FrgA2AMf%2FhQA2AMr%2FhQA3AA%2F%2F1wA3ABH%2F1wA3ACT%2F7AA3AIH%2F7AA3AIL%2F7AA3AIP%2F7AA3AIT%2F7AA3AIX%2F7AA3AIb%2F7AA3AMf%2F1wA3AMr%2F1wA4AA%2F%2FmgA4ABH%2FmgA4ACIAKQA4ACT%2FrgA4ACb%2F7AA4ACr%2F7AA4ADH%2F7AA4ADP%2F7AA4AEP%2F1wA4AEX%2F1wA4AEb%2F1wA4AEf%2F1wA4AEn%2F7AA4AE%2F%2F7AA4AFD%2F7AA4AFH%2F1wA4AFL%2F7AA4AFP%2F1wA4AFT%2F7AA4AFX%2F7AA4AFf%2F7AA4AIH%2FrgA4AIL%2FrgA4AIP%2FrgA4AIT%2FrgA4AIX%2FrgA4AIb%2FrgA4AIj%2F7AA4AI%2F%2F7AA4AJD%2F7AA4AJH%2F7AA4AJL%2F7AA4AJP%2F7AA4AJX%2F7AA4AJ3%2F1wA4AJ7%2F1wA4AJ%2F%2F1wA4AKD%2F1wA4AKH%2F1wA4AKL%2F1wA4AKP%2F1wA4AKT%2F1wA4AKX%2F1wA4AKb%2F1wA4AKf%2F1wA4AKj%2F1wA4AK%2F%2F1wA4ALD%2F1wA4ALH%2F1wA4ALL%2F1wA4ALP%2F1wA4ALX%2F1wA4ALb%2F7AA4ALf%2F7AA4ALj%2F7AA4ALn%2F7AA4AL7%2F7AA4AL%2F%2F1wA4AMf%2FmgA4AMr%2FmgA5AA%2F%2FmgA5ABH%2FmgA5ACIAKQA5ACT%2FrgA5ACb%2F7AA5ACr%2F7AA5ADH%2F7AA5ADP%2F7AA5AEP%2F1wA5AEX%2F1wA5AEb%2F1wA5AEf%2F1wA5AEn%2F7AA5AE%2F%2F7AA5AFD%2F7AA5AFH%2F1wA5AFL%2F7AA5AFP%2F1wA5AFT%2F7AA5AFX%2F7AA5AFf%2F7AA5AIH%2FrgA5AIL%2FrgA5AIP%2FrgA5AIT%2FrgA5AIX%2FrgA5AIb%2FrgA5AIj%2F7AA5AI%2F%2F7AA5AJD%2F7AA5AJH%2F7AA5AJL%2F7AA5AJP%2F7AA5AJX%2F7AA5AJ3%2F1wA5AJ7%2F1wA5AJ%2F%2F1wA5AKD%2F1wA5AKH%2F1wA5AKL%2F1wA5AKP%2F1wA5AKT%2F1wA5AKX%2F1wA5AKb%2F1wA5AKf%2F1wA5AKj%2F1wA5AK%2F%2F1wA5ALD%2F1wA5ALH%2F1wA5ALL%2F1wA5ALP%2F1wA5ALX%2F1wA5ALb%2F7AA5ALf%2F7AA5ALj%2F7AA5ALn%2F7AA5AL7%2F7AA5AL%2F%2F1wA5AMf%2FmgA5AMr%2FmgA6ACb%2F1wA6ACr%2F1wA6ADH%2F1wA6ADP%2F1wA6AIj%2F1wA6AI%2F%2F1wA6AJD%2F1wA6AJH%2F1wA6AJL%2F1wA6AJP%2F1wA6AJX%2F1wA6AL7%2F1wA7AA%2F%2FhQA7ABH%2FhQA7ACIAKQA7ACT%2FhQA7ACb%2F1wA7ACr%2F1wA7ADH%2F1wA7ADP%2F1wA7AEP%2FmgA7AEX%2FmgA7AEb%2FmgA7AEf%2FmgA7AEn%2F1wA7AE%2F%2FwwA7AFD%2FwwA7AFH%2FmgA7AFL%2FwwA7AFP%2FmgA7AFT%2FwwA7AFX%2FrgA7AFf%2FwwA7AFz%2F1wA7AIH%2FhQA7AIL%2FhQA7AIP%2FhQA7AIT%2FhQA7AIX%2FhQA7AIb%2FhQA7AIj%2F1wA7AI%2F%2F1wA7AJD%2F1wA7AJH%2F1wA7AJL%2F1wA7AJP%2F1wA7AJX%2F1wA7AJ3%2FmgA7AJ7%2FmgA7AJ%2F%2FmgA7AKD%2FmgA7AKH%2FmgA7AKL%2FmgA7AKP%2FmgA7AKT%2FmgA7AKX%2FmgA7AKb%2FmgA7AKf%2FmgA7AKj%2FmgA7AK%2F%2FmgA7ALD%2FmgA7ALH%2FmgA7ALL%2FmgA7ALP%2FmgA7ALX%2FmgA7ALb%2FwwA7ALf%2FwwA7ALj%2FwwA7ALn%2FwwA7AL7%2F1wA7AL%2F%2FmgA7AMf%2FhQA7AMr%2FhQA8ACb%2F7AA8ACr%2F7AA8ADH%2F7AA8ADP%2F7AA8AIj%2F7AA8AI%2F%2F7AA8AJD%2F7AA8AJH%2F7AA8AJL%2F7AA8AJP%2F7AA8AJX%2F7AA8AL7%2F7AA9ACwAuABDAAX%2F7ABDAAr%2F7ABDAMb%2F7ABDAMn%2F7ABEAAX%2F7ABEAAr%2F7ABEAFj%2F1wBEAFn%2F1wBEAFr%2F1wBEAFv%2F1wBEAFz%2F7ABEALr%2F1wBEAMb%2F7ABEAMn%2F7ABFAAUAKQBFAAoAKQBFAMYAKQBFAMkAKQBHAAX%2F7ABHAAr%2F7ABHAFj%2F1wBHAFn%2F1wBHAFr%2F1wBHAFv%2F1wBHAFz%2F7ABHALr%2F1wBHAMb%2F7ABHAMn%2F7ABIAAUAewBIAAoAewBIAMYAewBIAMkAewBKAAX%2F7ABKAAr%2F7ABKAMb%2F7ABKAMn%2F7ABNAEX%2F1wBNAEb%2F1wBNAEf%2F1wBNAFH%2F1wBNAFP%2F1wBNAJ3%2F1wBNAKT%2F1wBNAKX%2F1wBNAKb%2F1wBNAKf%2F1wBNAKj%2F1wBNAK%2F%2F1wBNALD%2F1wBNALH%2F1wBNALL%2F1wBNALP%2F1wBNALX%2F1wBNAL%2F%2F1wBPAAX%2F7ABPAAr%2F7ABPAMb%2F7ABPAMn%2F7ABQAAX%2F7ABQAAr%2F7ABQAMb%2F7ABQAMn%2F7ABRAAX%2F7ABRAAr%2F7ABRAFj%2F1wBRAFn%2F1wBRAFr%2F1wBRAFv%2F1wBRAFz%2F7ABRALr%2F1wBRAMb%2F7ABRAMn%2F7ABSAAX%2F7ABSAAr%2F7ABSAFj%2F1wBSAFn%2F1wBSAFr%2F1wBSAFv%2F1wBSAFz%2F7ABSALr%2F1wBSAMb%2F7ABSAMn%2F7ABUAAUAUgBUAAoAUgBUAEP%2F1wBUAEX%2F1wBUAEb%2F1wBUAEf%2F1wBUAEn%2F7ABUAFH%2F1wBUAFP%2F1wBUAJ3%2F1wBUAJ7%2F1wBUAJ%2F%2F1wBUAKD%2F1wBUAKH%2F1wBUAKL%2F1wBUAKP%2F1wBUAKT%2F1wBUAKX%2F1wBUAKb%2F1wBUAKf%2F1wBUAKj%2F1wBUAK%2F%2F1wBUALD%2F1wBUALH%2F1wBUALL%2F1wBUALP%2F1wBUALX%2F1wBUAL%2F%2F1wBUAMYAUgBUAMkAUgBWAAUAKQBWAAoAKQBWAMYAKQBWAMkAKQBYAAUAUgBYAAoAUgBYAA%2F%2FrgBYABH%2FrgBYACIAKQBYAMYAUgBYAMf%2FrgBYAMkAUgBYAMr%2FrgBZAAUAUgBZAAoAUgBZAA%2F%2FrgBZABH%2FrgBZACIAKQBZAMYAUgBZAMf%2FrgBZAMkAUgBZAMr%2FrgBaAEX%2F1wBaAEb%2F1wBaAEf%2F1wBaAFH%2F1wBaAFP%2F1wBaAJ3%2F1wBaAKT%2F1wBaAKX%2F1wBaAKb%2F1wBaAKf%2F1wBaAKj%2F1wBaAK%2F%2F1wBaALD%2F1wBaALH%2F1wBaALL%2F1wBaALP%2F1wBaALX%2F1wBaAL%2F%2F1wBbAAUAUgBbAAoAUgBbAA%2F%2FrgBbABH%2FrgBbACIAKQBbAMYAUgBbAMf%2FrgBbAMkAUgBbAMr%2FrgBdACwAuACBAAX%2FcQCBAAr%2FcQCBACb%2F1wCBACr%2F1wCBACwBCgCBADH%2F1wCBADP%2F1wCBADb%2FcQCBADj%2FrgCBADn%2FrgCBADv%2FhQCBAIj%2F1wCBAI%2F%2F1wCBAJD%2F1wCBAJH%2F1wCBAJL%2F1wCBAJP%2F1wCBAJX%2F1wCBAJr%2FhQCBAL7%2F1wCBAMb%2FcQCBAMn%2FcQCCAAX%2FcQCCAAr%2FcQCCACb%2F1wCCACr%2F1wCCACwBCgCCADH%2F1wCCADP%2F1wCCADb%2FcQCCADj%2FrgCCADn%2FrgCCADv%2FhQCCAIj%2F1wCCAI%2F%2F1wCCAJD%2F1wCCAJH%2F1wCCAJL%2F1wCCAJP%2F1wCCAJX%2F1wCCAJr%2FhQCCAL7%2F1wCCAMb%2FcQCCAMn%2FcQCDAAX%2FcQCDAAr%2FcQCDACb%2F1wCDACr%2F1wCDACwBCgCDADH%2F1wCDADP%2F1wCDADb%2FcQCDADj%2FrgCDADn%2FrgCDADv%2FhQCDAIj%2F1wCDAI%2F%2F1wCDAJD%2F1wCDAJH%2F1wCDAJL%2F1wCDAJP%2F1wCDAJX%2F1wCDAJr%2FhQCDAL7%2F1wCDAMb%2FcQCDAMn%2FcQCEAAX%2FcQCEAAr%2FcQCEACb%2F1wCEACr%2F1wCEACwBCgCEADH%2F1wCEADP%2F1wCEADb%2FcQCEADj%2FrgCEADn%2FrgCEADv%2FhQCEAIj%2F1wCEAI%2F%2F1wCEAJD%2F1wCEAJH%2F1wCEAJL%2F1wCEAJP%2F1wCEAJX%2F1wCEAJr%2FhQCEAL7%2F1wCEAMb%2FcQCEAMn%2FcQCFAAX%2FcQCFAAr%2FcQCFACb%2F1wCFACr%2F1wCFACwBCgCFADH%2F1wCFADP%2F1wCFADb%2FcQCFADj%2FrgCFADn%2FrgCFADv%2FhQCFAIj%2F1wCFAI%2F%2F1wCFAJD%2F1wCFAJH%2F1wCFAJL%2F1wCFAJP%2F1wCFAJX%2F1wCFAJr%2FhQCFAL7%2F1wCFAMb%2FcQCFAMn%2FcQCGAAX%2FcQCGAAr%2FcQCGACb%2F1wCGACr%2F1wCGACwBCgCGADH%2F1wCGADP%2F1wCGADb%2FcQCGADj%2FrgCGADn%2FrgCGADv%2FhQCGAIj%2F1wCGAI%2F%2F1wCGAJD%2F1wCGAJH%2F1wCGAJL%2F1wCGAJP%2F1wCGAJX%2F1wCGAJr%2FhQCGAL7%2F1wCGAMb%2FcQCGAMn%2FcQCHACwAewCIACb%2F1wCIACr%2F1wCIADH%2F1wCIADP%2F1wCIAIj%2F1wCIAI%2F%2F1wCIAJD%2F1wCIAJH%2F1wCIAJL%2F1wCIAJP%2F1wCIAJX%2F1wCIAL7%2F1wCJACwAewCKACwAewCLACwAewCMACwAewCNAA%2F%2FrgCNABH%2FrgCNACT%2F1wCNADb%2FwwCNADj%2F7ACNADn%2F7ACNADr%2F1wCNADv%2F7ACNADz%2F7ACNAIH%2F1wCNAIL%2F1wCNAIP%2F1wCNAIT%2F1wCNAIX%2F1wCNAIb%2F1wCNAJr%2F7ACNAMf%2FrgCNAMr%2FrgCPAA%2F%2FrgCPABH%2FrgCPACT%2F1wCPADb%2FwwCPADj%2F7ACPADn%2F7ACPADr%2F1wCPADv%2F7ACPADz%2F7ACPAIH%2F1wCPAIL%2F1wCPAIP%2F1wCPAIT%2F1wCPAIX%2F1wCPAIb%2F1wCPAJr%2F7ACPAMf%2FrgCPAMr%2FrgCQAA%2F%2FrgCQABH%2FrgCQACT%2F1wCQADb%2FwwCQADj%2F7ACQADn%2F7ACQADr%2F1wCQADv%2F7ACQADz%2F7ACQAIH%2F1wCQAIL%2F1wCQAIP%2F1wCQAIT%2F1wCQAIX%2F1wCQAIb%2F1wCQAJr%2F7ACQAMf%2FrgCQAMr%2FrgCRAA%2F%2FrgCRABH%2FrgCRACT%2F1wCRADb%2FwwCRADj%2F7ACRADn%2F7ACRADr%2F1wCRADv%2F7ACRADz%2F7ACRAIH%2F1wCRAIL%2F1wCRAIP%2F1wCRAIT%2F1wCRAIX%2F1wCRAIb%2F1wCRAJr%2F7ACRAMf%2FrgCRAMr%2FrgCSAA%2F%2FrgCSABH%2FrgCSACT%2F1wCSADb%2FwwCSADj%2F7ACSADn%2F7ACSADr%2F1wCSADv%2F7ACSADz%2F7ACSAIH%2F1wCSAIL%2F1wCSAIP%2F1wCSAIT%2F1wCSAIX%2F1wCSAIb%2F1wCSAJr%2F7ACSAMf%2FrgCSAMr%2FrgCTAA%2F%2FrgCTABH%2FrgCTACT%2F1wCTADb%2FwwCTADj%2F7ACTADn%2F7ACTADr%2F1wCTADv%2F7ACTADz%2F7ACTAIH%2F1wCTAIL%2F1wCTAIP%2F1wCTAIT%2F1wCTAIX%2F1wCTAIb%2F1wCTAJr%2F7ACTAMf%2FrgCTAMr%2FrgCVAA%2F%2FrgCVABH%2FrgCVACT%2F1wCVADb%2FwwCVADj%2F7ACVADn%2F7ACVADr%2F1wCVADv%2F7ACVADz%2F7ACVAIH%2F1wCVAIL%2F1wCVAIP%2F1wCVAIT%2F1wCVAIX%2F1wCVAIb%2F1wCVAJr%2F7ACVAMf%2FrgCVAMr%2FrgCWAA%2F%2F1wCWABH%2F1wCWACT%2F7ACWAIH%2F7ACWAIL%2F7ACWAIP%2F7ACWAIT%2F7ACWAIX%2F7ACWAIb%2F7ACWAMf%2F1wCWAMr%2F1wCXAA%2F%2F1wCXABH%2F1wCXACT%2F7ACXAIH%2F7ACXAIL%2F7ACXAIP%2F7ACXAIT%2F7ACXAIX%2F7ACXAIb%2F7ACXAMf%2F1wCXAMr%2F1wCYAA%2F%2F1wCYABH%2F1wCYACT%2F7ACYAIH%2F7ACYAIL%2F7ACYAIP%2F7ACYAIT%2F7ACYAIX%2F7ACYAIb%2F7ACYAMf%2F1wCYAMr%2F1wCZAA%2F%2F1wCZABH%2F1wCZACT%2F7ACZAIH%2F7ACZAIL%2F7ACZAIP%2F7ACZAIT%2F7ACZAIX%2F7ACZAIb%2F7ACZAMf%2F1wCZAMr%2F1wCaAA%2F%2FhQCaABH%2FhQCaACIAKQCaACT%2FhQCaACb%2F1wCaACr%2F1wCaADH%2F1wCaADP%2F1wCaAEP%2FmgCaAEX%2FmgCaAEb%2FmgCaAEf%2FmgCaAEn%2F1wCaAE%2F%2FwwCaAFD%2FwwCaAFH%2FmgCaAFL%2FwwCaAFP%2FmgCaAFT%2FwwCaAFX%2FrgCaAFf%2FwwCaAFz%2F1wCaAIH%2FhQCaAIL%2FhQCaAIP%2FhQCaAIT%2FhQCaAIX%2FhQCaAIb%2FhQCaAIj%2F1wCaAI%2F%2F1wCaAJD%2F1wCaAJH%2F1wCaAJL%2F1wCaAJP%2F1wCaAJX%2F1wCaAJ3%2FmgCaAJ7%2FmgCaAJ%2F%2FmgCaAKD%2FmgCaAKH%2FmgCaAKL%2FmgCaAKP%2FmgCaAKT%2FmgCaAKX%2FmgCaAKb%2FmgCaAKf%2FmgCaAKj%2FmgCaAK%2F%2FmgCaALD%2FmgCaALH%2FmgCaALL%2FmgCaALP%2FmgCaALX%2FmgCaALb%2FwwCaALf%2FwwCaALj%2FwwCaALn%2FwwCaAL7%2F1wCaAL%2F%2FmgCaAMf%2FhQCaAMr%2FhQCbAA%2F%2B9gCbABH%2B9gCbACT%2FmgCbADr%2F1wCbADz%2F7ACbAIH%2FmgCbAIL%2FmgCbAIP%2FmgCbAIT%2FmgCbAIX%2FmgCbAIb%2FmgCbAMf%2B9gCbAMr%2B9gCdAAX%2F7ACdAAr%2F7ACdAMb%2F7ACdAMn%2F7ACeAAX%2F7ACeAAr%2F7ACeAMb%2F7ACeAMn%2F7ACfAAX%2F7ACfAAr%2F7ACfAMb%2F7ACfAMn%2F7ACgAAX%2F7ACgAAr%2F7ACgAMb%2F7ACgAMn%2F7AChAAX%2F7AChAAr%2F7AChAMb%2F7AChAMn%2F7ACiAAX%2F7ACiAAr%2F7ACiAMb%2F7ACiAMn%2F7AClAAX%2F7AClAAr%2F7AClAFj%2F1wClAFn%2F1wClAFr%2F1wClAFv%2F1wClAFz%2F7AClALr%2F1wClAMb%2F7AClAMn%2F7ACmAAX%2F7ACmAAr%2F7ACmAFj%2F1wCmAFn%2F1wCmAFr%2F1wCmAFv%2F1wCmAFz%2F7ACmALr%2F1wCmAMb%2F7ACmAMn%2F7ACnAAX%2F7ACnAAr%2F7ACnAFj%2F1wCnAFn%2F1wCnAFr%2F1wCnAFv%2F1wCnAFz%2F7ACnALr%2F1wCnAMb%2F7ACnAMn%2F7ACoAAX%2F7ACoAAr%2F7ACoAFj%2F1wCoAFn%2F1wCoAFr%2F1wCoAFv%2F1wCoAFz%2F7ACoALr%2F1wCoAMb%2F7ACoAMn%2F7ACtAAX%2F7ACtAAr%2F7ACtAFj%2F1wCtAFn%2F1wCtAFr%2F1wCtAFv%2F1wCtAFz%2F7ACtALr%2F1wCtAMb%2F7ACtAMn%2F7ACvAAX%2F7ACvAAr%2F7ACvAFj%2F1wCvAFn%2F1wCvAFr%2F1wCvAFv%2F1wCvAFz%2F7ACvALr%2F1wCvAMb%2F7ACvAMn%2F7ACwAAX%2F7ACwAAr%2F7ACwAFj%2F1wCwAFn%2F1wCwAFr%2F1wCwAFv%2F1wCwAFz%2F7ACwALr%2F1wCwAMb%2F7ACwAMn%2F7ACxAAX%2F7ACxAAr%2F7ACxAFj%2F1wCxAFn%2F1wCxAFr%2F1wCxAFv%2F1wCxAFz%2F7ACxALr%2F1wCxAMb%2F7ACxAMn%2F7ACzAAX%2F1wCzAAr%2F1wCzAMb%2F1wCzAMn%2F1wC1AAX%2F7AC1AAr%2F7AC1AFj%2F1wC1AFn%2F1wC1AFr%2F1wC1AFv%2F1wC1AFz%2F7AC1ALr%2F1wC1AMb%2F7AC1AMn%2F7AC6AAUAUgC6AAoAUgC6AA%2F%2FrgC6ABH%2FrgC6ACIAKQC6AMYAUgC6AMf%2FrgC6AMkAUgC6AMr%2FrgC7AAX%2F7AC7AAr%2F7AC7AFj%2F1wC7AFn%2F1wC7AFr%2F1wC7AFv%2F1wC7AFz%2F7AC7ALr%2F1wC7AMb%2F7AC7AMn%2F7AC8AAUAUgC8AAoAUgC8AA%2F%2FrgC8ABH%2FrgC8ACIAKQC8AMYAUgC8AMf%2FrgC8AMkAUgC8AMr%2FrgC%2BACwAewAAAAcAWgADAAEECQABABIAAAADAAEECQACAAgAEgADAAEECQADAEYAGgADAAEECQAEABwAYAADAAEECQAFABgAfAADAAEECQAGABoAlAADAAEECQAOAFQArgBPAHAAZQBuACAAUwBhAG4AcwBCAG8AbABkAEEAcwBjAGUAbgBkAGUAcgAgAC0AIABPAHAAZQBuACAAUwBhAG4AcwAgAEIAbwBsAGQAIABCAHUAaQBsAGQAIAAxADAAMABPAHAAZQBuACAAUwBhAG4AcwAgAEIAbwBsAGQAVgBlAHIAcwBpAG8AbgAgADEALgAxADAATwBwAGUAbgBTAGEAbgBzAC0AQgBvAGwAZABoAHQAdABwADoALwAvAHcAdwB3AC4AYQBwAGEAYwBoAGUALgBvAHIAZwAvAGwAaQBjAGUAbgBzAGUAcwAvAEwASQBDAEUATgBTAEUALQAyAC4AMAACAAAAAAAA%2F2YAZgAAAAAAAAAAAAAAAAAAAAAAAAAAANwAAAECAAIAAwAEAAUABgAHAAgACQAKAAsADAANAA4ADwAQABEAEgATABQAFQAWABcAGAAZABoAGwAcAB0AHgAfACAAIQAiACMAJAAlACYAJwAoACkAKgArAC0ALgAvADAAMQAyADMANAA1ADYANwA4ADkAOgA7ADwAPQA%2BAD8AQABBAEIAQwBEAEUARgBHAEgASQBKAEsATABNAE4ATwBQAFEAUgBTAFQAVQBWAFcAWABZAFoAWwBcAF0AXgBfAGAAYQCsAKMAhACFAL0AlgDoAIYAjgCLAJ0AqQCkAQMAigEEAIMAkwDyAPMAjQCXAIgAwwDeAPEAngCqAPUA9AD2AKIArQDJAMcArgBiAGMAkABkAMsAZQDIAMoA6QBmANMA0ADRAK8AZwDwAJEA1gDUANUAaADrAO0AiQBqAGkAawBtAGwAbgCgAG8AcQBwAHIAcwB1AHQAdgB3AOoAeAB6AHkAewB9AHwAuAChAH8AfgCAAIEA7ADuALoA1wCwALEA2ADdANkAsgCzALYAtwDEALQAtQDFAIcAvgC%2FALwBBQDvAQYBBwEIAQkBCgELACwAzwDMAM0AzgRudWxsB3VuaTAwQUQJb3ZlcnNjb3JlBEV1cm8HdW5pRkIwMQd1bmlGQjAyDGZvdXJzdXBlcmlvcgd1bmlGQjAzB3VuaUZCMDQCZmYAAAABAAIACAAK%2F%2F8ADwABAAAADAAAAAAAAAACAAEAAADbAAEAAAABAAAACgAKAAoAAAABAAAACgAeACwAAWxhdG4ACAAEAAAAAP%2F%2FAAEAAAABbGlnYQAIAAAAAQAAAAEABAAEAAAAAQAIAAEANgABAAgABQAMABQAHAAiACgA1QADAEgATgDUAAMASABLANYAAgBIANIAAgBOANEAAgBLAAEAAQBI%29%20format%28%27truetype%27%29%3B%0A%7D%0A%40font%2Dface%20%7B%0A%20%20font%2Dfamily%3A%20%27Open%20Sans%27%3B%0A%20%20font%2Dstyle%3A%20italic%3B%0A%20%20font%2Dweight%3A%20400%3B%0A%20%20src%3A%20url%28data%3Aapplication%2Fx%2Dfont%2Dtruetype%3Bbase64%2CAAEAAAASAQAABAAgR0RFRgAQANwAAH%2BQAAAAFkdQT1MAFQAKAAB%2FqAAAAAxHU1VC3cremgAAf7QAAAB0T1MvMqFNlj0AAFLYAAAAYGNtYXDPgnIkAABTOAAAAMRjdnQgDsAXGQAAXLwAAACgZnBnbX5hthEAAFP8AAAHtGdhc3AAFQAjAAB%2FgAAAABBnbHlmNnRXPgAAASwAAEwKaGVhZPhH%2BWMAAE8UAAAANmhoZWEQIA4VAABStAAAACRobXR4els%2BTQAAT0wAAANoa2VybqPrpOMAAF1cAAAekGxvY2HY%2F8R%2FAABNWAAAAbptYXhwAnUBoAAATTgAAAAgbmFtZRpuNRIAAHvsAAABbHBvc3Rqt5auAAB9WAAAAiZwcmVwVIGWkwAAW7AAAAEJAAIAwQAABAoFtgADAAcADLMEAwcAAC8yLzMxMBMhESE3IREhwQNJ%2FLdoAnn9hwW2%2BkpoBOYAAAIAK%2F%2FjAisFtgAEABAAGEALAgIOBAMOCE9ZDhYAPysAGD8SOS8xMAEBIxITATQ2MzIWFRQGIyImAiv%2B7m0xf%2F7PT0QtOE5CMTcFtvvdATMC8PqYTFg3NkReOAAAAgDhA6YDQgW2AAMABwANtAYCBwMDAD8zzTIxMAEDIxMhAyMTAeWZa0gCGZprSAW2%2FfACEP3wAhAAAAIAPwAABTsFtgAbAB8AM0AYAB8QEBkVERETBAgMDAEcDQ0KFxMDBgoSAD8zPzMSOS8zMzMRMzMROS8zMzMRMzMxMAEDIQchAyMTIQMjEyE3IRMhNyETMwMhEzMDIQcBIRMhBAxiAR0N%2Fst9i4H%2B0X%2BFef77DQEcZf7rDQEte4t9ATF%2FhX0BCAz8xQEvYP7RA4P%2BrIH%2BUgGu%2FlIBroEBVH8BtP5MAbT%2BTH%2F%2BrAFUAAMASP%2BJBC8GEAAeACUALAA6QB8fDAMpIiwcDSUGBhMGDEtZGyYTJktZFhMGEwYTFQUVAC8vEjk5Ly8RMysRADMrERIAFzkyETMxMAEUBgcHIzcmJzUWFjMTJiY1NDY3NzMHFhcHJicDFhYBNjY1NCYnAwYGFRQWFwOu4cUxhTHDeFK7SWKLfdi%2FJ4Unn3w%2FeX9elX%2F%2Bd2t%2BQlEIbHZFSQHsosoW4d8OOpopLQHEMZVyn8ARsLIMQIc%2FCf5IN4z%2Bog18XDZUIAJKC3RiNVkaAAAFAKj%2F7AX8BcsAAwAPAB4AKwA6ACVAEgQcHAMlMTECAwYCGB84BwoVGQA%2FMz8zPz8SOS8zETkvMzEwAQEjAQMiBgYVFDMyNhI1NBcUAgYGIyImNTQSNjMyFgEiBgYVFDMyPgI1NBcUAgYGIyImNTQSNjMyFgW8%2B8OYBD4hQ2k%2FakFoRYs%2FZY1WbnplrHJ0ePwjQmpAazRUPyaMQGWMV216ZaxydHgFtvpKBbb9ToH4dK2CAQtnppdr%2Fv6xY5WRpgExmI8CXH75d6xPlclHpphs%2Fv2wYpaRpgExmJAAAwBC%2F%2BwFHwXNAAsAFgA1ADBAGyoqGgUQJwQPKDAtBB8vEh8ASlkfBDMMSlkzEwA%2FKwAYPysAGD8SFzkXOTkvMTABIgYVFBc%2BAjU0JgEyNjcBDgIVFBYlNDY3JjU0NjMyFhUUDgIHATY3MwYHEyMnBgYjIiYC4Wl0UotoPlX%2BpVeicv7OgHA7hf7YtNVn1K%2BVr0FukVEBFn9IqGW2y8l1eNyJqMoFRHhueHNHTlw6TVn7M0JbAbFDYnVJaoHflNtmpZCkyZ6FTnZiUir%2Be2657LD%2B8qZkVsAAAQDhA6YB5QW2AAMACbICAwMAP80xMAEDIxMB5ZlrSAW2%2FfACEAABAFL%2BvALnBbYACwAKswMDCicAPz8xMBMQEgEzAgIREBMjAlLwAQid9vtyg5MBEAFTAkABE%2F7y%2Faj%2Bwv6t%2Fv0BCgAB%2F2D%2BvAH0BbYACgAKswgDBCcAPz8xMAEQAgEjABEQAzMSAfTz%2FvucAfBxg5IDYP6r%2Fb%2F%2B8gInAn0BVQEB%2FvMAAQDXAmoEgQYbAA4AC7MGBg4AAD8zLzEwAQMlByUTBwMBJwElNwUTA1Z7AaYI%2Fne0pnH%2B%2FnQBNf6LNwFzKQX4%2FoESnS%2F%2BgTQBlv6oeQEcbZq5AZAAAQB%2FAQgEFwSgAAsADrQJAQEGAgAvMzMRMzEwASE1IREzESEVIREjAgT%2BewGFjQGG%2FnqNAouOAYf%2BeY7%2BfQAB%2F5z%2B%2BAErAO4ABgAIsQQAAC%2FNMTAlFwYHIxI3ASMIcZ2Bfk7uF%2Bv0AR7YAAEANwHVAjkCcwADAAixAAEALzMxMBM3IQc3IwHfIgHVnp4AAAEAK%2F%2FjASMA8gALAAy1CQNPWQkWAD8rMTA3NDYzMhYVFAYjIiYrUUcrNVBELjZKTVs0NUdfNAAAAf%2BiAAADfQW2AAMACrMDAwISAD8%2FMTABASMBA338064DLQW2%2BkoFtgAAAgB5%2F%2BwERAXNAAwAGQAXQAwLDUtZCwcEFEtZBBkAPysAGD8rMTABEAIEIyImNRASJDMgBSIGAhUUFjMyNhI1EAREnf7xs7C8pAENrQFt%2FolxwHdkb3O8cQP2%2Ftn%2BGPv%2F8gEOAen5kOf%2BYdisuOQBrO8BQwABAS8AAAOFBbYACgAQtgQHAQkGARgAPz8SOTkxMCEjExI3BgcHJwEzAkysxDsdMlmyUAHBlQORAQViNTpufwEcAAABAAwAAAQ3BcsAGwAcQA4CGhELS1kRBwEaTFkBGAA%2FKwAYPysRADMxMCEhNwE%2BAzU0JiMiBgcnNjMyFhUUBgYHARUhA4%2F8fR8B0WaVYS94Z02TWVK%2F3rDNT7fL%2FqACppMBpF2NfXtLY3Q5RHOasZtvutCx%2Fs0IAAABAC%2F%2F7AQxBcsAKAAtQBcDGBkZGEtZGRkLJiYgS1kmBwsRS1kLGQA%2FKwAYPysREgA5GC8rERIAOTEwARQGBxUWFhUUBgYjIic1FhYzMjY1NCYjIzczMjY1NCYjIgYHJzYzMhYEMcqzfI587qTSr17SVaK0no2DH4ul2nRjUJpiUMPls8QEh5zZIAkXp32Fy3JPpDE1n4qDh4%2BujFxsNkJ2kK4AAAIAEAAABEwFvgAKABMAJUASBhMPBwEFEwVMWQkTEwMHBgMYAD8%2FEjkvMysRADMRMxEzMTABIwMjEyE3ATMDMyE2EhMjBgYHAQQr6UikSv1wHQNCxM%2Fo%2FnUuQFQIEWMX%2FesBTv6yAU6eA9L8KdwBMgEkHYcd%2FY8AAAEAUP%2FsBEgFtgAcAC1AFxsHAAASTVkAAAcXFxpMWRcGBwxLWQcZAD8rABg%2FKxESADkYLysREgA5MTABMhYVFAYEIyInNRYzMjY1NCYjIgYHJxMhByEDNgJWtteS%2FvqxwYmkqr%2FWk4MwYlpKxQKcIf32f1cDfdGyofR5T6RmwKx%2Bkw0YOQKsmf5JFwAAAgCF%2F%2BwEWgXLABoAKAAtQBcNGAURIU1ZEREYBQUKS1kFBxgbS1kYGQA%2FKwAYPysREgA5GC8rERIAOTEwEzQSEiQzMhcHJiMiAAMzNjYzMhYVFAIGIyImBTI2NjU0IyIOAhUUFoV5zgEeuG9JI0Rm1P7fRAg7r2qatIXkk7bHAY9ek1HdQnxgMHkBqNEBnAEjkxeRFv7W%2FtpPXsWsof71jeZZbL5x%2BDlfcmKJngAAAQCuAAAEeQW2AAYAFkAKBQIAGAMCTFkDBgA%2FKwAYPxEzMTAzASE3IQcBrgMA%2FTEfA3sb%2FQQFIZWL%2BtUAAwBg%2F%2BwEVgXNABkAJQAxADJAGxMGKSMEDQAsGktZLCwNAAAmS1kABw0gS1kNGQA%2FKwAYPysREgA5GC8rERIAFzkxMAEyFhUUBgcWFhUUBgYjIiY1NDY3JiY1NDY2AwYGFRQWMzI2NTQmEyIGFRQWFzY2NTQmAuWuw5y8f2p44Zi%2B2L7JX1Ftxgq5mYpwi6ZoCHKITlihhnMFza2VgcBQTq5zer9mxamU2ExFl2Bvr2H87zynd2t%2BlHpjlgK9g25SfDY8j2ZaagACAGL%2F7AQrBcsAGgAoAC1AFw4FGCERTVkhIQUYGBtLWRgHBQpLWQUZAD8rABg%2FKxESADkYLysREgA5MTABFAICBCMiJzUWMzISEyMGBiMiJjU0NjYzMhYlIgYVFBYzMj4CNTQmBCtwt%2F78rIhqhnDK%2BkAKM6NjqbiB55C0x%2F5%2FlrZtbEyAWSl2BArC%2Flf%2B2Ywini8BGgEsS1fFvpn%2Fj%2BVX4rF8hDlqelqDmQAAAgAr%2F%2BMBwwRkAAsAFgAXQAwPFE9ZDxAJA09ZCRYAPysAGD8rMTA3NDYzMhYVFAYjIiYTNDYzMhUUBiMiJitRRys1UEQuNqBQR2FTQS42Sk1bNDVHXzQDpU1baEldNQAAAv%2Bc%2FvgBwwRkAAYAEQAVQAkEQAYKD09ZChAAPysAGC8azjEwJRcGByMSNxM0NjMyFRQGIyImASMIcZ2Bfk5jUEdhU0EuNu4X6%2FQBHtgCzk1baEldNQABAHkA8gQQBNkABgAXQAkBAgUFBgQDAAMALy8RMzI5ETMzMTAlATUBFQEBBBD8aQOX%2FRUC6%2FIBpmIB35X%2Bjf64AAACAH8BvAQXA%2BUAAwAHABK3BQAEAQQEAAEALzMzL10zMTATNSEVATUhFX8DmPxoA5gDWouL%2FmKOjgAAAQB5APIEEATZAAYAG0ALBQQBAQMABgIDBgMALy8RMxEzEjkRMzMxMBMBATUBFQF5Aun9FwOX%2FGkBiQFIAXOV%2FiFi%2FloAAAIAnv%2FjA5oFywAaACYAJUASBxEAACQRJB5PWSQWEQpJWREEAD8rABg%2FKxESADkYLxI5MTABNjY3PgI1NCYjIgYHJzY2MzIWFRQGBwYGBwM0NjMyFhUUBiMiJgEEFmVzgFAuZ2BRlEI9XMhSp7iDoH1YF%2B1QRyw1U0EuNgGTgqdbZFhkPl1lMx%2BBMzKomnvPeFtxaP63TVs0NUldNAAAAgBv%2F0YGjwW0ADUAQQAqQBMmKwcJNhAYPT0ECRAJEAkrHzIDAD8zxDk5Ly8RMzMRMxEzEjkRMzEwARQCBiMiJyMGIyImNTQ2NjMyFhcGBhcUMzI2NjU0ACMiBAIVEAAhMjcVBiMgABEQEiQhMgQSBSIGBhUUFjMyExMmBo9uyHrFEAhvtHODiPGMQX1YQEQDZk5%2FSv8A8uT%2Bm8UBHwEKxd%2Fb4P7G%2Fpf9AbIBDb8BFJH9Sl6gXEJBu1VGPwNUs%2F7epLi4l4ad%2FpAYJPL8LnWG6X%2FvAQDW%2Fofk%2FvL%2B11Z%2FWgFxAUEBBQHB9pf%2B7F9uxHJdUwE7AQIXAAAC%2F4sAAAQQBbYABwAOAB1ADgsEDgFJWQ4OAwQDBwMSAD8zPxI5LysRADMxMAEhAyMBMxMjAwMmJwYGAwMt%2FhD1vQMfrriqSyMYBSVXzgHR%2Fi8FtvpKAm0BK7OrWK7%2BfQADAFYAAASyBbYADgAXACAALUAXBSAPDyBKWQ8PDQ4OF0pZDgMNGEpZDRIAPysAGD8rERIAORgvKxESADkxMAEgERQGBxUWFhUUBCMhARMzMjY1NCYjIwMhMjY1NCYjIwMCAbCunnN7%2FtD%2F%2FjEBNSf4nLqFj9P6AQq1wpWM7AW2%2FrCNwh0KIJ1u1PEFtv2Okn5oZ%2FtuoZN0ewAAAQCW%2F%2BwFCgXLABgAF0AMFABJWRQEDQdJWQ0TAD8rABg%2FKzEwASIEAhUUFjMyNxUGBiMiABEQEiQzMhcHJgOurv7tocOri7dWnG7y%2FuzTAWThxZdFigUzwv6J3bvfOZUfHAErAQIBBQHB7FCNRQACAFYAAAUUBbYACQATABdADAYSSlkGAwUTSlkFEgA%2FKwAYPysxMAEQAgQhIQEhIAABMiQSNTQmIyMDBRTS%2Fnr%2B%2Bv6gATUBVgEUAR%2F8rcoBMqPOx7L6A23%2B%2B%2F5w2AW2%2FtX8CLcBTtfX3ftwAAABAFYAAARqBbYACwAmQBQGCUlZBgYBAgIFSVkCAwEKSVkBEgA%2FKwAYPysREgA5GC8rMTAhIQEhByEDIQchAyEDNf0hATUC3yD9ymICDx3973ICNQW2mf4rmP3oAAEAVgAABGoFtgAJAB1ADwYJSVkGBgIBEgIFSVkCAwA%2FKwAYPxI5LysxMCEjASEHIQMhByEBAqwBNQLfHv3IbgIQIP3vBbaZ%2FeuZAAABAJb%2F7AVOBcsAHQAmQBQAHUlZAAAECwsSSVkLBAQZSVkEEwA%2FKwAYPysREgA5GC8rMTABIQMGIyAAERASJDMyFhcHJiYjIgQCFRQWMzI3EyEDNQHLmtjL%2Fvj%2B28sBaNt1zWhCTbFqqf7rms24mmpg%2Ft8C%2Fv05SwEhAQMBDQG59SgsmCIyy%2F6U4b7aJwG8AAABAFYAAAVzBbYACwAaQA0IA0lZCAgFCgYDAQUSAD8zPzMSOS8rMTAhIxMhAyMBMwMhEzMEPaeP%2FWyRqgE1qoMClIWoArD9UAW2%2FZICbgAB%2FsH%2BfwI1BbYADAARtwkDAAVJWQAiAD8rABg%2FMTADIic3FjMyNjcBMwECpmkwBkVMZIMZATOq%2FstP%2Fn8ZkxR9eAWq%2BkT%2BhQABAFYAAAUrBbYADQAVQAkKBAcLCAMBBxIAPzM%2FMxI5OTEwISMmAicHAyMBMwMBMwEECrpIlUiufaoBNaqXArzR%2FYG1AWW3g%2F2yBbb9OgLG%2FYMAAQBWAAADVgW2AAUAEbcBAwADSVkAEgA%2FKwAYPzEwMwEzASEHVgE1qv7sAjUhBbb65JoAAAEAVAAABrgFtgAUABlADAoCEwMHDAgDAA8HEgA%2FMzM%2FMxIXOTEwIQMjBgYHAyMBMxMzASEBIxISNyMBAqSmCAcrEL6iATX0lQkCkwEK%2FtGufoYbBv0zBRBI%2B0r8fQW2%2B0wEtPpKAk4Cd0367gAAAQBUAAAFqAW2AA8AFUAJAwsHDggDAQcSAD8zPzMSOTkxMCEjASMGBwMjATMBMzY3EzMEc7X%2BNAYgKqyiATW0AcsGHiqupATH3cX82wW2%2BzzgtQMvAAACAJb%2F7AWDBc0ADQAbABdADAsOSVkLBAQVSVkEEwA%2FKwAYPysxMAEQAgQjIAAREBIkMzIAJSIGAhUUFjMyNhI1NCYFg7D%2BuNf%2FAP7iwAFP0vQBGP3nnfiJxKiY8Yy8A4v%2B8%2F5X6QErAQ4BCAG07P7MnMr%2BmNrH38MBbN3H3wACAFYAAASHBbYACgATAB1ADwsESlkLCwcGEgcTSlkHAwA%2FKwAYPxI5LysxMAEUACEjAyMBITIWATMyNjU0JiMjBIf%2BuP7Dh3uqATUBStbc%2FROF2OCLkKMEPfj%2B%2Bv3BBba9%2Fdi2sH1vAAIAlv6kBYMFzQANAB8AI0ARHxAdEAcXAElZFwQQB0lZEBMAPysAGD8rERIAORgQxjEwASIGAhUUFjMyNhI1NCYBByMgABEQEiQzMgAREAAHASMDap34icSonvKFvP7EERD%2FAP7iwAFP0vQBGP7q7AES2wU1yv6Y2sffyAFp28ff%2BrkCASsBDgEIAbTs%2Fsz%2B8v6z%2FhpO%2FpoAAgBWAAAEiQW2AAsAFQAmQBMIAA4OAEpZDg4DCgISAwxJWQMDAD8rABg%2FMxI5LysREgA5MTABAyMBISAREAUTIwMDAgczMjY1NCYjAYGBqgE1AUABvv6Q77rRaWYOqMHQh5gCYP2gBbb%2Bkv6kZf15AmACwf4SQaqfeW0AAAEAJ%2F%2FsBCMFywAmACBAEB8MFQMVHElZFQQDCUlZAxMAPysAGD8rERIAOTkxMAEUBCMiJic1FjMyNjU0JicmJjU0JDMyFhcHJiYjIgYVFBYWFx4CA5H%2B5%2F9qoUeisqK%2BaY%2BXdQEI12OrX0JCpEWGoyJKaZNnNQGo0%2BkdIqpUl4ROd1FVqnS76yYuliYsi3c2TUQ9WGR5AAEAugAABLQFtgAHABZACgESBwMEA0lZBAMAPysRADMYPzEwISMBITchByEB56wBFf5qIQPZHv5oBR%2BXlwAAAQCk%2F%2BwFfwW2ABUAFEAJFQoDBBFJWQQTAD8rABg%2FMzEwAQMCBCMiJjU0NxMzAwYVFBYzMjY3EwV%2FzTf%2B4%2Fbm3hi9qr8WkpGsvyzNBbb8Ov75%2FdDDUXgDbvyFalJ1h6%2FKA7oAAAEAvAAABR8FtgALABC2CwYDBwMGEgA%2FPzMRMzEwJTY3ATMBIwMzExYVAd89ZQHfv%2FzztKKqYRTFkMIDn%2FpKBbb8XsSLAAABAN8AAAeBBbYAHQAZQAwEDxgDCRwTCgMBCRIAPzM%2FMzMSFzkxMCEjAyY1IwYGASMDMxMXFAczNjcBMxMWFQczNjcBMwTpqjEIBhlI%2FiyuPqofAgoGWUMBlbIrCQEJSzgBg7YDxYiSSKX8DgW2%2FHtYYqDzjANg%2FKSZl1PgggN9AAH%2FmAAABNEFtgALABVACQgCBAkGAwEEEgA%2FMz8zEjk5MTAhIwMBIwEBMxMBMwEDvLTV%2Fh%2B6AlT%2B%2BazLAbu6%2FdUCgf1%2FAwgCrv3NAjP9SgAAAQC8AAAEwwW2AAgAELYABQEHAwUSAD8%2FMxI5MTABATMBAyMTAzMCGQHpwf2Ncax37qoCywLr%2FGf94wIlA5EAAAH%2F8AAABJMFtgAJACBAEAcEAggFBElZBQMBCElZARIAPysAGD8rEQAzETMxMCEhNwEhNyEHASEDdfx7HAOc%2FXEgA1oa%2FGQCuYkEkpuL%2B28AAf%2Fw%2FrwC8AW2AAcADrUFAgMGAScAPzM%2FMzEwASEBIQcjATMBc%2F59AX0Bgx%2Fj%2FsLj%2FrwG%2Bo36IQABAN0AAAJQBbYAAwAKswMDAhIAPz8xMAETIwMBd9ma2QW2%2BkoFtgAAAf9q%2FrwCagW2AAcADrUDBAMABycAPzM%2FMzEwBzMBIzchASF34QFA4x4Bhf6E%2Fny2Bd%2BN%2BQYAAQA1AikEAgXBAAYADrQFAQAEAgAvLzMRMzEwEwEzASMDATUCVm0BCpHJ%2Fi0CKQOY%2FGgC6%2F0VAAAB%2F0T%2BvAKN%2F0gAAwAIsQECAC8zMTABITchAm%2F81R4DK%2F68jAABAj8E2QOHBiEACAAIsQYBAC%2FNMTABIyYmJzUzFhcDh2g9hxy1K2gE2T26PBWIpwACAGL%2F7ARgBFwAEgAgACdAFAoEDAAFDwgVABpGWQAQDBNGWQwWAD8rABg%2FKwAYPz8REjk5MTABMhYXMzczAyM3IwYjIiY1NBI2AzI2EjU0JiMiBgIVFBYCf1yQKAtDf%2BmFGgizxouejvopYcB4cFtos2ZeBFxjXaz7uNHlxqzQAWTK%2FBu5ASmVZ3qs%2FtqjcnEAAAIAO%2F%2FsBDkGFAAVACIAJ0AUCwQADwcABhUPFkZZDxAAHUZZABYAPysAGD8rABg%2FPxESOTkxMAUiJicjByMBMwYCBzM2NjMyFhUUAgYTIgYCFRQWMzI2EjU0AiFhkyUKRn0BSqgzNzAJXbVgjZ6J9SBgx3VvaWOraBRmWKoGFPL%2B%2F6x2b8at0f6dxwPjvv7gl251ogErqOMAAQBi%2F%2BwDqgRcABgAF0AMBwxGWQcQABNGWQAWAD8rABg%2FKzEwBSImNTQSJDMyFwcmIyIGAhUUFjMyNjcVBgH6wtaUAQWjiYMveGNwuWmFdUiAPnwU1sPIAVK9M40zmf7voICOKBuPPwACAGL%2F7ATDBhQAFAAhACdAFAMLDgAGAAkVABxGWQAQDhVGWQ4WAD8rABg%2FKwAYPz8REjk5MTABMhczNjcTMwEjNyMGBiMiJjU0EjYDMjYSNTQmIyIGAhUUAn%2FCVwoRHE6m%2FraLFghlsF6LnJD1Jl7IdWxnZa1pBFq%2Bm3cBZvns0X1oxK7WAWTC%2FB27ASOXb3Sl%2FtWl4wACAGL%2F7AO0BFwAGAAiACZAFBwORlkcHAAHBxlGWQcQABJGWQAWAD8rABg%2FKxESADkYLysxMAUiJjU0EjYzMhYVFAQhIwcUFjMyNjcVBgYTIgYHMzI2NTQmAey40pX2lJma%2FrT%2ByyEEe4E%2FhWNekDRntTAM5PNJFNrBvAFZwIV3tM1Qg5MkMJIsIwPhvKd3cTVGAAH%2FG%2F4UA4MGHwAgACpAFgwaCR0QFkZZEAAaHUdZGg8ABUZZABsAPysAGD8rABg%2FKxEAMxEzMTADIic1FjMyNjcTIz8CNjYzMhYXByYjIgYHBzMHIwMGBmhFOEAwTFIZ48ENzhcuo6AodCArTD1XXR0Z7hnt6Cei%2FhQVjRZ8cwQ6Q0JkyKUXDoEdYYFsf%2Fu2va4AA%2F%2BB%2FhQETARcACgANQBDAEhAKBszMw5GWQc5R1kEIAkDByYzBzMHFSgmQEdZJhAoAkdZKA8VLEdZFRsAPysAGD8rABg%2FKxESADk5GC8vERIXOSsrEQAzMTABBwcWFRQGIyInBhUUFhcXFhYVFAQhIiY1NDY3JjU0NjcmJjU0NjMyFwEUFjMyNjU0JicnBgYBFBYzMjY2NTQmIyIGBgRMGdMp6cM3HYtCP3W1o%2F7c%2FvfC3JChTmZbP1Dvuk5M%2FUqCgLbNbIKfeIABFlpQT3Y%2FWFJOdUEESGsYPmC%2F4wg1TikbCA4WhIC4ypOGaZo2KVBFYysgfVPC%2BBT69U1af3Q%2BSA4QGX4DElVZVJNWUlZRkQABADsAAAQpBhQAHQAdQA4SCxYMAAALFRYFRlkWEAA%2FKwAYPzM%2FERI5MTAhEzY1NCMiBgYHAyMBMw4DBzM2NjMyFhUUBwYDAtmUEpNZqYEhZagBSqgSISMpGwtet2SDjxcnagK0XimUduGf%2FicGFFKan65me2qQhD5owf4hAAACADsAAAIfBd8AAwAOAA61DAcCDwEVAD8%2FxDIxMDMjEzMDNDYzMhUUBiMiJuOo6qh5QDNYQywoNARIARg4R1o3TDEAAAL%2B%2Fv4UAh0F3wAMABcAFkAKFRAIDwAFRlkAGwA%2FKwAYP8QyMTADIic1FjMyNwEzAQYGATQ2MzIVFAYjIiaHRTY9On0rAQim%2FvYknQFUQDNWQywmNP4UFY0WzQTb%2BxarnwdMOEdaN0wxAAABADkAAAQhBhQADgAYQAsGDgkBCgABDwUJFQA%2FMz8%2FERI5OTEwAQEzAQEjAwcDIwEzAgIHAUoCDsn%2BKwEnu%2BuYUqoBSqpIci0CLwIZ%2Fi39iwIMe%2F5vBhT%2BsP3sgQAAAQA5AAACLQYUAAMACrMCAAEVAD8%2FMTAzIwEz4agBTKgGFAAAAQA7AAAGhwRcACwAJ0ATFg8MEw0PACEMFScGEwZGWRoTEAA%2FMysRADMYPzMzPxESOTkxMCETNjU0JiMiBgYHAyMTMwczNjYzMhYXMzY2MzIWFRQHAyMTNjU0JiMiBgYHAwK4lBI%2BS1SfeSFlqOqLFgpXrVxxegsIVsJjf4sWkKqUFEVKUZ53H2sCtF4pRk54353%2BJQRIy3dognR9eYiCRG79YAK0aCo%2BS3TVkv4MAAABADsAAAQpBFwAGQAdQA4PDBMNDwAMFRMGRlkTEAA%2FKwAYPzM%2FERI5MTAhEzY1NCYjIgYGBwMjEzMHMzY2MzIWFRQHAwLZlBRHTlmpgSFlqOqLFgpgs2B%2FkxePArRoKD9MeN6e%2FiUESMt6ZYt9T2X9YAACAGL%2F8AQdBFYADQAbABdADAARRlkAEAcYRlkHFgA%2FKwAYPysxMAEyFhUUAgYjIiY1NBI2ATQmIyIGAhUUFjMyNhICg77ckPabwNqS%2BAGDfWttrV9%2Fd2imXQRW4cW8%2FrK24sS%2BAU%2Bz%2FnFzj5T%2B%2BaGDj5IBDQAAAv%2FV%2FhQEOQRaABUAIgAnQBQEDAAPCg8JGw8WRlkPEAAdRlkAFgA%2FKwAYPysAGD8%2FERI5OTEwBSImJyMHBgYDIwEzBzM2MzIWFRQCBhMiBgIVFBYzMjYSNTQCIWGSKAoEAw9rpgFQixoIs8GJnor0IGDHdW9pY6toFGRaJhla%2FgMGNNHjw7DU%2Fp7FA%2BO%2B%2FuCXbnWiASuo4wACAGL%2BFARgBFwAFQAiACdAFAQLAA8FDwgbAB1GWQAQDxZGWQ8WAD8rABg%2FKwAYPz8REjk5MTABMhYXMzczASMTNjcjBgYjIiY1NBI2AzI2EjU0JiMiBgIVFAKBXo8lDUN9%2FrCmZQkwCF%2B0YIyfkfcpXMR5bWJlsGgEXGVbrPnMAeAtsHlsw6%2FUAWjC%2FBu4ASKbaXqp%2Ftej4wAAAQA7AAADaARcABIAG0ANDgsADA8LFQAFRlkAEAA%2FKwAYPz8REjkxMAEyFwcmIyIGBgcDIxMzBzM%2BAgLwRTMkNTRbn3cca6jqixYKSF5nBFwOlg141YL%2BCgRIy19TLQAAAQAI%2F%2BwDRARcACQAIEAQDB4DFRUbRlkVEAMJRlkDFgA%2FKwAYPysREgA5OTEwARQGIyInNRYWMzI2NTQmJyYmNTQ2MzIXBycmIyIGFRQWFx4CAt%2FdyamIRqJFfoBGdIJsyqWrnzY4ZXddakdva10uATecr0WeKi5kTjlOREmMYIqpSokZK1dFOFA%2FPFZjAAEAWv%2FsAtsFRAAaACdAExASQAwVDxISFUdZEg8GAEZZBhYAPysAGD8rEQAzETMaGBDNMTAlMjcVBgYjIiY1NDcTIz8CMwchByEDBhUUFgGLN1kiZB59hRJ%2FrA65fWI3ARIa%2Fu%2BBEjp1GoEOFHd2QlQCWklO5Px%2F%2FaRXLTg8AAEAcf%2FsBF4ESAAYABtADQ8SChgPDRUSBUZZEhYAPysAGD8%2FMxI5MTABAwYVFDMyNjY3EzMDIzcjBgYjIiY1NDcTAcOWEpNYqoIiZKbnixYMYrJfgJIWkgRI%2FUlZMo944J4B2%2Fu4y31ii4E%2BbgKkAAABAGIAAAQSBEgACwAOtQkBDwUAFQA%2FMj8zMTAzAzMTEhUzEjcBMwHffahAGAZ%2FNAFFsv2xBEj9m%2F7%2BaAETYAJc%2B7gAAAEAdQAABgYESAAfABlADAUPGQMJHRMKDwAJFQA%2FMz8zMxIXOTEwIQMmNTUjBwcBIwMzExUUBzM2NwEzExYVFQczNhIBMwEDPyAECTJT%2Ft3KK6QSCAYvWgEntiUGAgYcbgEMsv4GAlpeTpx2vf2RBEj9rliTenzGAnX9rqheNSpWAQkCWPu4AAAB%2F7YAAAQGBEgACwAVQAkGAAIHBA8LAhUAPzM%2FMxI5OTEwAQEjAQMzEwEzARMjAdP%2BpsMB2%2B%2BqrgFKwv45%2FKgBsv5OAjUCE%2F5kAZz95f3TAAH%2FO%2F4UBBIESAAYABhACwUPCgAPDxRGWQ8bAD8rABg%2FMxI5MTATMxMWEhUzNjY3ATMBBgYjIic1FjMyNjc3YqhKChMGI2gZAUWy%2FUhdtoBIRD9EUnU3TARI%2Fd9F%2FvNSV%2BIrAmH6%2FqyGFYcSZWOIAAAB%2F%2BMAAAN9BEgACQAgQBAHBAIIBQRHWQUPAQhHWQEVAD8rABg%2FKxEAMxEzMTAhITcBITchBwEhArL9MRcCtv4hGwKRHf1YAhN1A1Z9jPzBAAEAG%2F68Ay8FtgAnABlACxsKCgsLJhQSAwAnAD8%2FMzI5LzMSOTEwASImNTQ3NjYnNCM3MjY3EzY2MzMHIgYHAwYGBxUWFRQHBwYVFBYzFQG6jZcUISUE0SB2jxZEIqerIR9pXBRHHH5olxIvD0lT%2FrxpdzRZkqMVj49XaAFGoICNSVf%2Bv3t6EQUprDtI0zooNTGOAAABAh3%2BEAKoBhQAAwAKswAAAxsAPz8xMAEzESMCHYuLBhT3%2FAAB%2F7b%2BvALBBbYAJwAbQAwcCwsKChQTJgADEycAPz8yETM5LzMSOTEwATIWFRQHBwYVFDMHIgYHAwYGIyM1MjY3EzY2NzUmNTQ3NzY1NCYjNwEdkJkVMRDRIXeOFkMkprUNc2gTSBl%2Ba5YSMg5RYxwFtml2MF3bRCuPkFZo%2FrqkfY5IVwFCdX0SBiqpO0jVQSI1MY0AAQBzAlAEMwNUABcAErYPAAaADAMSAC8zMxrNMjIxMAEiBgc1NjMyFhcWFjMyNjcVBiMiJicmJgFcNoEyYpFFdFZAYTI3gTNkkEh%2BSEtaAslFNJdtHSUbHEI3lm4hICAYAAAC%2F%2FL%2BiwHyBF4AAwAPABhACwAABwMiBw1PWQcQAD8rABg%2FEjkvMTABMwMjATQ2MzIWFRQGIyImAQRtsM8BCFFGLDVRQTA2Aqz73wUrTFw0NkddMwABAOH%2F7AQpBcsAHgAoQBUCHgwJCRFNWR4YS1keCR4JAQoHARkAPz8SOTkvLysrEQAzETMxMAUjNyYmNTQSNjc3MwcWFwcmIyIGAhUUFjMyNjcVBgcCRn0rhI9%2F5pEjeyV3Yi9tbnC5aYR2SIA%2Be6MU1yLPmrkBPscVqqgJKI40mf7voH2SKByPPgQAAAH%2F6QAABJoFyQAbADFAGQsXGBdOWQgYGBIAAAVLWQAHEw8SD0xZEhgAPysRADMYPysREgA5GC8zKxEAMzEwATIXByYjIgcDIQchBwYGByEHITc2NzcjNzMTEgNKuJhCkoTVMkUBchr%2BjS8WWFAC1SH8RxvNNS%2FIGslMSwXJVoVP7f66f9tiiSuajS7z3X8BXgFhAAACAKgBIQQQBIcAGwAnACRAEwUCGhcTEAwJCAcSGBUKBB8VJQcALzPEMs4yEM4yEhc5MTATNDcnNxc2MzIXNxcHFhUUBxcHJwYjIicHJzcmNxQWMzI2NTQmIyIG5USBXH9ncnJlgVyBRkZ%2FWoFidXdif1p%2FRIGPZ2iSkmhmkALTdWKBXIFGRoFagWhxd2J%2FWn9ERn9af2B3Z4%2BPZ2iSkQAAAQB%2FAAAE7AW2ABYAPUAhCg4PDk1ZBw8GEhMSTVkDABMVDxMfEwIPEw8TDAEVBgwYAD8%2FMxI5OS8vXRESOTIrEQAzETMrEQAzMTABATMBMwchByEHIQMjEyE3ITchNzMDMwJGAeu7%2FevnHP7XIQEpHf7ZOZo4%2Ft0dASIh%2Ft0d4cqjAssC6%2Fz%2BhaCF%2FvYBCoWghQMCAAICHf4QAqgGFAADAAcAF0AKAwMHBAQHAAAHGwA%2FPxE5LxE5LzEwATMRIxEzESMCHYuLi4sGFPz4%2Fg389wAAAgA7%2F%2FgD5QYdACwAOAAtQBkZMwItDy02MDMnBh4HHiRHWR4VBwxHWQcAAD8rABg%2FKxESABc5ETMRMzEwEzQ3JjU0NjMyFwcmIyIGFRQWFx4CFRQGBxYVFAYjIic1FhYzMjY1NCYnJiYBBgYVFBYXNjY1NCau7nfPsL2ENZR2ZnlMfGRiNHpvcuTMsHc4oUyFjmVminABVFJqZZRQX2MDAslqRoV%2FnkR7PFFFMUU4LE9kQGGmOEd2mKs9lCIsWVUwUi49iwFRGntGRl5ALH5EPFsAAgHJBQ4D6QXTAAoAFQAMsw4DEwgALzPNMjEwATQ2MzIVFAYjIiYlNDYzMhUUBiMiJgHJOC5OOycjLwFsOC9NOycjLwViLkNQMUQsKC5DUDFELAAAAwCL%2F%2BwGagXLABYAJgA2AC1AGQYMABIPDB8MAgASEBICDBIMEhsrIxMzGwQAPzM%2FMxI5OS8vXV0RMxEzMTABIgYVFBYzMjcVBgYjIiY1NDYzMhcHJgE0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCA6B9hYKAUoFCXjnA0ty%2BgnY8avyXyAFeysUBWtDJ%2FqfNz%2F6iw2muAS2srgEqr67%2B17Cu%2FtavBCOumqmhK3ocFO%2Fc0PU8eDX%2BuMgBXsrC%2FqLQzP6nys8BWsat%2FtOtrgEpsK4BKq%2Bu%2FtcAAgCqAxQDDAXHABIAHgAbQAwJAwAHEwwABB4aAB8APzI%2FENQyxBI5OTEwATIXMzczAyM3IwYGIyImNTQ2NgMyNjY1NCYjIgYVFAHycicGJVaLXA4EKGRJTWNTlhY9Z0U5OVx9BcdnWv1ndThKeGp%2F13v9tGKxTz5FzoyLAAIAWABxA6gDvgAGAA0AIUAODQcKBgADCgMFCAEMBQEALy8zETMSOTkRMzMRMzMxMBMBFwETBwMFARcBEwcDWAGHTv7XrHHnAYsBb1b%2B5Z5x1wJIAXZR%2Frj%2BfTEBug4BlUX%2Bk%2F6iMQGNAAABAH8BCAQXAxkABQAKsgIEBQAvMy8xMAERIxEhNQQXjPz0Axn97wGDjv%2F%2FADcB1QI5AnMCBgAQAAAABACL%2F%2BwGagXLAA8AHwAtADUALUAVJSkpBDUqKgwEIycnLi4MHAQEFAwTAD8zPzMSOS8zEjkREjkvMxE5LzMxMBM0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCJRQGBxMjAyMRIxEzMhYBMzI1NCYjI4vIAV7KxQFa0Mn%2Bp83P%2FqLDaa4BLayuASqvrv7XsK7%2B1q8Dtl9V45XPcX%2Flo53%2BWlzDX2ZaAtvIAV7Kwv6i0Mz%2Bp8rPAVrGrf7Tra4BKbCuASqvrv7XCE5%2BI%2F5%2FAWD%2BoANwfv7llUw%2BAAABAOMGFAQXBpgAAwAIsQECAC8zMTABITchA%2FT87yEDEwYUhAACANcDXgNGBcsADAAYAAyzEAoWAwAvMy8zMTATNDYzMhYWFRQGIyImNxQWMzI2NTQmIyIG17WCU5FUtYODtHF0UlNyc1JQdgSTgLhTkVSAtbWAUHR1T1J1dQACAH8AAAQXBJgACwAPACFADgkBAQYCCwILAg0FDQwFAC8vMxESOTkvLxEzMxEzMTABITUhETMRIRUhESMBNSEVAgT%2BewGFjQGG%2FnqN%2FnsDmAKDjQGI%2FniN%2Fn3%2FAI2NAAABAGACSgL2BckAFwAStwoPHwIWFgEgAD8zETM%2FMzEwASE3JT4CNTQmIyIHJzYzMhYVFAYHByECkf3PFwEIc1coPjtaaTt9lW19aZHdAYsCSmrkZGNXLzVAUFplcV5joX27AAEAdwI5AvQFyQAiABtADCIQEBERBhgdHwsGIQA%2FMz8zEjkvMxI5MTABFhYVFAYjIic1FjMyNTQjIzczMjY1NCYjIgcnNjMyFhUUBwIlRU62on1sfXLNsloWX2F0RTtmXjdtn3KAzwQMEWZFhJM4f0iqiWtSRzw9RF1YcF%2B0NgAAAQIUBNkDugYhAAkACLEECQAvzTEwATY2NzMVBgYHIwIUOIslvibMS2kE9Dy3OhUxzDYAAAH%2F1f4UBGoESAAaACBAEBIMDwcXDwoVFhsPAkZZDxYAPysAGD8%2FPzMSOTkxMAEUMzI2NjcTMwMjNyMGBiMiJyMGBgMjATMDBgEnk1mmgyJpo%2BmLGAxdtGJwMwkLF0ikAVColBIBCpN24J0B3vu4zXloYE6M%2FqIGNP1JXAABAMf%2B%2FAS2BhQADwAaQAsGCAgOBQEOA0lZDgAvKwAYLzMSOS85MTABIxEjESMRBiMiJjUQNjMhBLZy1XM%2BVNjL2ugCLf78Bn35gwMzEvr7AQT%2BAP%2F%2FAKoCSwGiA1oABwARAH8CaAAB%2F1b%2BFADTAAAAEQAMswgDEA8ALzPMMjEwExQGIyInNRYzMjU0Jic3MwcW06KFKS0mHq5OPGVqPYP%2B7GJ2CWQGbi4rCLZ5JgABAQICSgKPBbYACgAOtQkGAyAAHgA%2FPzk5MTABMwMjEzY3BgYHJwIZdrqHcBkhGTJ4MwW2%2FJQCDmd6GStPWgAAAgCoAxQC6QXHAAwAFwANtBMDDQofAD8zxDIxMAEUBiMiJjU0NjYzMhYnIgYVFBYzMjY1NALpsZhxh1SXY3V%2B9WZ1TEVedQTDv%2FCOfXXFboYfr45VVbGQpgAAAgAXAHMDaAPBAAYADQAfQA0ABgMHDQoKAwUIAQwFAC8zLzMSOTkRMzMRMzMxMAEBJwEDNxMlAScBAzcTA2j%2Bd04BKaxx6f51%2FpBWARqecdkB5f6OUgFDAYcy%2FkEO%2Fm9GAWgBYjL%2Bbv%2F%2FAHsAAAVSBbYAJwDOAmIAAAAmAHrKAAEHANMCZv23AAmzAwISGAA%2FNTUA%2F%2F8AQgAABaQFtgAmAHqSAAAnAM4CKQAAAQcAcwKu%2FbcAB7ICEBgAPzUA%2F%2F8AVwAABegFyQAmAHTgAAAnAM4C%2BAAAAQcA0wL8%2FbcACbMDAioYAD81NQAAAv%2F8%2FnEC%2BARYABkAJQAjQBEGGRkQIyMdT1kjEBAJSVkQIwA%2FKwAYPysREgA5GC85MTABBgYHBwYVFBYzMjY3FwYGIyImNTQ2NzY2NxMUBiMiJjU0NjMyFgKRFmRzX59nYFCUQj5axleotoSfhFEW7lFHKzVQQy82AqiCpF1Lf5RdZjMfgTA0p5p80HdibWQBSk1bNDRHXzMA%2F%2F%2F%2FiwAABBAHcwImACQAAAEHAEL%2F2AFSAAq0AhAQBSYAKxE1%2F%2F%2F%2FiwAABE0HcwImACQAAAEHAHUAkwFSAAq0AhgYBSYAKxE1%2F%2F%2F%2FiwAABDgHcwImACQAAAEHAMAAQgFSAAq0AhUVBSYAKxE1%2F%2F%2F%2FiwAABI8HLwImACQAAAEHAMIAYAFSAAq0AhgYBSYAKxE1%2F%2F%2F%2FiwAABCsHJQImACQAAAEHAGkAQgFSAAy1AwIiIgUmACsRNTX%2F%2F%2F%2BLAAAEEAcCAiYAJAAAAQcAwQACAIEAGUAPAwLvGAHfGAFvGAEPGAEYABFdXV1dNTUAAAL%2FiQAABt0FtgAPABMAPEAgCg1JWQoKAQYTA0lZExMBBgUSCRIGEklZBgMBDklZARIAPysAGD8rEQAzGD8REjkvKxESADkYLysxMCEhEyEBIwEhByEDIQchAyEBEyMBBaj9H2L%2BSv7bxQOqA6oh%2FctkAhAc%2Fe9zAjb9f5NU%2Fk4B0f4vBbaZ%2FiuW%2FeYB1QKw%2FVD%2F%2FwCW%2FhQFCgXLAiYAJgAAAAcAeQIjAAD%2F%2FwBWAAAEagdzAiYAKAAAAQcAQv%2F7AVIACrQBDQ0FJgArETX%2F%2FwBWAAAEagdzAiYAKAAAAQcAdQB9AVIACrQBFRUFJgArETX%2F%2FwBWAAAEagdzAiYAKAAAAQcAwABGAVIACrQBEhIFJgArETX%2F%2FwBWAAAEagclAiYAKAAAAQcAaQBCAVIADLUCAR8fBSYAKxE1NQACAEgAAAUUBbYADQAbAC1AFxoHCAdJWRcICAUKChZKWQoDBRtKWQUSAD8rABg%2FKxESADkYLzMrEQAzMTABEAIEISETIzczEyEgAAEyJBI1NCYjIwMhByEDBRTS%2Fnr%2B%2Bv6gh5Uglo0BVgEUAR%2F8rcoBMqPOx7JvAUoh%2FrZqA23%2B%2B%2F5w2AKJlgKX%2FtX8CLcBTtfX3f38lv4K%2F%2F8AVAAABagHLwImADAAAAEHAMIBCAFSAAq0ARkZBSYAKxE1%2F%2F8Alv%2FsBYMHcwImADEAAAEHAEIAaAFSAAq0Ah0dBSYAKxE1%2F%2F8Alv%2FsBYMHcwImADEAAAEHAHUBIQFSAAq0AiUlBSYAKxE1%2F%2F8Alv%2FsBYMHcwImADEAAAEHAMAA1QFSAAq0AiIiBSYAKxE1%2F%2F8Alv%2FsBYMHLwImADEAAAEHAMIA5QFSAAq0AiUlBSYAKxE1%2F%2F8Alv%2FsBYMHJQImADEAAAEHAGkAzwFSAAy1AwIvLwUmACsRNTUAAQCoATED8AR3AAsAFkAKAwYACQQCCggEAgAvMy8zEhc5MTABATcBARcBAQcBAScB5%2F7BYgFAAUNj%2FrwBQmH%2Bvf7AYALTAUFj%2FsABQGD%2BvP6%2BYAFA%2FsJgAAMAd%2F%2BsBbYGBAAXACAAKQAjQBMfIx4kBCYYDxhJWQ8EBCZJWQQTAD8rABg%2FKxESABc5MTABEAIEIyInByc3JjUQEiQzMhYXNxcHFhYBIgYCFRQXASYTNCcBFjMyNhIFg7D%2BuNfIhIFwiWrAAU%2FSY59Ig3KVMDL95534iSkC4VrRIf0jW46Y8YwDi%2F7z%2FlfpYKBcqojrAQgBtOw2OaZcuD68AT%2FK%2Fpjah1wDl1j%2BWnZX%2FHFKwwFsAP%2F%2FAKT%2F7AV%2FB3MCJgA3AAABBwBCAFgBUgAKtAEXFwUmACsRNf%2F%2FAKT%2F7AV%2FB3MCJgA3AAABBwB1ASMBUgAKtAEfHwUmACsRNf%2F%2FAKT%2F7AV%2FB3MCJgA3AAABBwDAAMsBUgAKtAEcHAUmACsRNf%2F%2FAKT%2F7AV%2FByUCJgA3AAABBwBpALoBUgAMtQIBKSkFJgArETU1%2F%2F8AvAAABMMHcwImADsAAAEHAHUAVAFSAAq0ARISBSYAKxE1AAIAVgAABFIFtgAMABUAJUATCRVKWQkJBgcNBEpZDQ0GBwMGEgA%2FPxI5LysREgA5GC8rMTABFAAhIwMjATMDMzIWATMyNjU0JiMjBFL%2BuP7BhUaqATWqNaDV3f0Qh9fijJGmAz34%2Fvr%2BwQW2%2FwC%2B%2Fdm2sH5uAAAB%2FwD%2BFARYBh8APwAsQBg2FScDHgwMOUZZDAAeJEZZHhYABUZZABsAPysAGD8rABg%2FKxESABc5MTADIic1FjMyNjcBNjYzMhYVFAYGBwYVFBceAhUUBiMiJzUWFjMyNjU0JiYnJiY1NDY2Nz4CNTQmIyIGBwEGBoVFNj0yQVQXARgr4sKitCpRim5fL2wz2bivXTOHPnGIFS5CWEUlPl1QPiJpWXeGHP7uKKL%2BFBWPFl9uBSLIxo59OWNbaVNEOEIia3FDr8dHoCkzdGUoPjg3RW48NVZHRTg%2FQyVASX2A%2Bum9rv%2F%2FAGL%2F7ARgBiECJgBDAAABBgBCsQAACrQCIiIRJgArETX%2F%2FwBi%2F%2BwEYAYhAiYAQwAAAQYAdUQAAAq0AioqESYAKxE1%2F%2F8AYv%2FsBGAGIQImAEMAAAEGAMD3AAAKtAInJxEmACsRNf%2F%2FAGL%2F7ARgBd0CJgBDAAABBgDCEgAACrQCKioRJgArETX%2F%2FwBi%2F%2BwEYAXTAiYAQwAAAQYAaf0AAAy1AwI0NBEmACsRNTX%2F%2FwBi%2F%2BwEYAaBAiYAQwAAAQYAwdoAAAy1AwIkJBEmACsRNTUAAwBi%2F%2BwGWARcACoAOABCAEJAJBUYAwYEChE8IUZZPDwFFg8FFTkyETJGWRoRECUrCitGWQAKFgA%2FMysRADMYPzMrEQAzGD8%2FEjkvKxESABc5MTAFIiYnByM3IwYGIyImNTQSNjMyFhczNzMHNjMyFhUUBCEjBxQWMzI2NxUGJTI2EjU0JiMiBgIVFBYBIgYHMzI2NTQmBI1soygfchoIbaVfeoqN8o5SficLQ20fe9F3k%2F6z%2Fs4nBH2DN3t1pPxrX7t3W01jsGRKA9V1vC8O4vVGFE9Qi9GEYcaqzgFmzGFfrJKmiHS2y1CDkyEzlkuLtwEqlmd6rf7epHJzA1a9pnVvPUIA%2F%2F8AYv4UA6oEXAImAEUAAAAHAHkBfQAA%2F%2F8AYv%2FsA7QGIQImAEcAAAEGAEKCAAAKtAIkJBEmACsRNf%2F%2FAGL%2F7APvBiECJgBHAAABBgB1NQAACrQCLCwRJgArETX%2F%2FwBi%2F%2BwDxgYhAiYARwAAAQYAwNAAAAq0AikpESYAKxE1%2F%2F8AYv%2FsA70F0wImAEcAAAEGAGnUAAAMtQMCNjYRJgArETU1%2F%2F8AOwAAAewGIQImAL0AAAEHAEL%2BZQAAAAq0AQUFESYAKxE1%2F%2F8AOwAAAuoGIQImAL0AAAEHAHX%2FMAAAAAq0AQ0NESYAKxE1%2F%2F8AOwAAAsQGIQImAL0AAAEHAMD%2BzgAAAAq0AQoKESYAKxE1%2F%2F8AOwAAAsEF0wImAL0AAAEHAGn%2B2AAAAAy1AgEXFxEmACsRNTUAAgBa%2F%2BwEcQYlACAALgA0QBwZDxYeAAgFBAMfFihGWRYWDx8PBgMBDyFGWQ8WAD8rABg%2FMz8SOS8rERIAFzkREjkxMAEmJzcWFyUXBxYWFRQCBCMiJjU0EjYzMhYXNzU0JicFJxMyNjY1NCYjIgYGFRQWAqRCUF92RgEEQPBXT4%2F%2B%2BbS2zYfvlGmZIwZJSv7yODFrpmaDcW2gV3MFPzo3dVRGkmmFc%2FuQ%2Ff58xNC5oAEUnltPAhGI0F2VbPu9cOBydopzz4B%2Bgv%2F%2FADsAAARQBd0CJgBQAAABBgDCIQAACrQBIyMRJgArETX%2F%2FwBi%2F%2FAEHQYhAiYAUQAAAQYAQpcAAAq0Ah0dESYAKxE1%2F%2F8AYv%2FwBB0GIQImAFEAAAEGAHU5AAAKtAIlJREmACsRNf%2F%2FAGL%2F8AQdBiECJgBRAAABBgDA7wAACrQCIiIRJgArETX%2F%2FwBi%2F%2FAENQXdAiYAUQAAAQYAwgYAAAq0AiUlESYAKxE1%2F%2F8AYv%2FwBB0F0wImAFEAAAEGAGnoAAAMtQMCLy8RJgArETU1AAMAfwD8BBcEqAADAA4AGQAQtQABAREMEQAvLxI5LzMxMBM1IRUBNDMyFhUUBiMiJhE0MzIWFRQGIyImfwOY%2FcRvNTs8NDQ7bzU7PDQ0OwKLjo7%2B6nk9PDo%2FPgL1eT08Oj8%2BAAADAD3%2FtARQBJMAFQAeACcAMEAbEg8HBAYJIhwdIREUCA8EDxZGWQ8QBCRGWQQWAD8rABg%2FKxESABc5GBDGEMYxMAEUAgYjIicHJzcmNTQSNjMyFzcXBxYlIgYCFRQXASYTNCcBFjMyNhIEF4v0mpJkYmltRJP0lpJqaGl3Pv5wbK9kEQIGNowN%2Ff45ZWerXwLBvf6qvkF9UodnosIBTrBEgU%2BBYWmS%2Fv6XXC0ChS%2F%2B5VQj%2FX8tjwECAP%2F%2FAHH%2F7AReBiECJgBXAAABBgBCmQAACrQBGhoRJgArETX%2F%2FwBx%2F%2BwEXgYhAiYAVwAAAQYAdWgAAAq0ASIiESYAKxE1%2F%2F8Acf%2FsBF4GIQImAFcAAAEGAMAKAAAKtAEfHxEmACsRNf%2F%2FAHH%2F7AReBdMCJgBXAAABBgBpAAAADLUCASwsESYAKxE1Nf%2F%2F%2Fzv%2BFAQSBiECJgBbAAABBgB14AAACrQBIiIRJgArETUAAv%2FV%2FhQEOQYUABcAJAAnQBQEDQARCQAIGxEYRlkREAAfRlkAFgA%2FKwAYPysAGD8%2FERI5OTEwBSImJyMGBwMjATMCBgczNjYzMhYVFAIGEyIGAhUUFjMyNhI1NAIhYpQnCggRZqYBsKhfKBMJZbBfi56K9CBgx3VvaWOraBRmWGhI%2FhoIAP5HokR9aMOw1P6exQPjvv7gl251ogErqOMA%2F%2F%2F%2FO%2F4UBBIF0wImAFsAAAEGAGmGAAAMtQIBLCwRJgArETU1AAEAOwAAAc0ESAADAAqzAg8BFQA%2FPzEwMyMTM%2BOo6qgESAACAJb%2F7AcpBc0AFQAhADlAIBATSVkQEAEMDA9JWQwDChtJWQoEAxZJWQMSARIBFElZKwAYPz8rABg%2FKwAYPysREgA5GC8rMTAhIQYjIAAREBIkMzIXIQchAyEHIQMhBTI3EyYjIgYCFRQWBfT9Xk5Q%2FwD%2B4sABT9KYVQLFH%2F3LZAIQH%2F3wcwI1%2FKRFNvZMc534icQUASsBDgEIAbTsF5n%2BK5b95hUTBIkWyv6Y2sffAAMAYv%2FsBqwEXAAhAC4AOAA7QB4CDgUMMhhGWTIyBQwvIgwiRlkRDBAcKQUpRlkABRYAPzMrEQAzGD8zKxEAMxESORgvKxESADk5MTAFICcGBiMiJjU0EjYzIBc2NjMyFhUUBCEjBxQWMzI2NxUGASIGAhUUFjMyEhE0JiUiBgczMjY1NCYE4%2F7yVkXNe7jYlvybAQ5ZS813i5z%2Bt%2F7QKQR7gUuMUKL9Am2uYHxuscp3Aol9vywS5%2FBAFOFrcuTCwQFOseFteoN5t8pQg5MxI5ZLA92S%2Fv6bjZIBQQELfIYEvaZ6dDBFAAABAY8E2QP2BiEADgAMswMLBgEALzPNMjEwASMmJwYHIzU2NjczFhcXA%2FZnOWiGbG2RdxeeJVsqBNkwjXdGG4WBJ2OIQgAAAgInBNkD3QaBAAsAFwAVQAsPHwkvCT8JAwkVAwAvM8xdMjEwARQGIyImNTQ2MzIWBzQmIyIGFRQWMzI2A914Y2V2fF9ldmhAMzFCOzgzQAWwY3RzYl51cmE1Pj41Nj09AAABAVAE2QQvBd0AFQAStgUTC4AQAAkAL8QyGt3GMzEwASIuAiMiBgcjEjMyHgIzMjY3MwIDRihLR0MgLDMWZDqtLE9HPhssMxpkQgTbIysjOToBAiQrJDY%2F%2Fv4AAAEANwHVA5ECdQADAAixAAEALzMxMBM3IQc3IwM3IgHVoKAAAAEANwHVB2gCdQADAAixAAEALzMxMBM3IQc3IwcOIgHVoKAAAAEAewPBAggFtgAGAAmyAAMDAD%2FNMTATJzYTMwIHgQZirH%2BTOAPBFtMBDP6nnAABAH0DwQIMBbYABwAJsgUHAwA%2FxjEwARcGBgcjEjcCBAgojliBhkUFthZb%2F4UBKssAAAH%2FnP74ASsA7gAGAAixBAAAL80xMCUXBgcjEjcBIwhxnYF%2BTu4X6%2FQBHtgAAgB7A8EDewW2AAYADQANtAAHAwoDAD8zzTIxMAEnNhMzAgchJzYTMwIHAfQIUMB%2Foin90QZirH%2BTOAPBFrUBKv6FehbTAQz%2Bp5wAAAIAfQPBA38FtgAHAA8ADbQMBQ8HAwA%2FM8YyMTABFwYGByMSNyEXBgMjNhI3AgQIKI5YgYZFAi0KXrR%2FOXUcBbYWW%2F%2BFASrLFs7%2B734BJVIAAv%2Bc%2FvgCnADuAAYADQAMswsNBAAAL80zMjEwJRcGByMSNyEXBgMjEjcBIwhxnYF%2BTgIrCV%2BwgYw%2F7hfr9AEe2BfN%2Fu4BPLoAAQDHAewCkQPpAAsACLEJAwAvzTEwEzQ2MzIWFRQGIyImx5N9XF6UgFldAqyRrGJcjbJjAAEAWABxAi0DvgAGABK2BgADAwEFAQAvLxI5ETMzMTATARcBEwcDWAGHTv7XrHHnAkIBfFH%2Bsv6DMQG0AAEAFwBzAewDwQAGABK2AAYDAwUBBQAvLxI5ETMzMTABAScBAzcTAez%2BeE0BKKxx6AHw%2FoNSAU0BfTL%2BSwAAAf4ZAAAC8AW2AAMACrMDAwISAD8%2FMTABASMBAvD7wpkEPQW2%2BkoFtgAAAQA%2F%2F%2BwE1wXJACYAS0ApCxcYF05ZCBgGHB0cTVkDHQ8dHx0CCQMYHRgdEiEhAExZIQcSDUxZEhkAPysAGD8rERIAOTkYLy9fXl0RMysRADMRMysRADMxMAEiBgchByEGByEHIRAhMjcVBiMiAjU1IzczNjcjNzMSADMyFhcHJgOgjORLAaoa%2FkcVCwF9Hf6XASl7hX%2BX1OmqG5oIFpcbn2EBRc9ZjkZQcQUxxseFQWOD%2Fos3kzsBC%2FUMg1BUhQELARorMYpOAAABAH8CiwQXAxkAAwAIsQABAC8zMTATNSEVfwOYAouOjgD%2F%2F%2F8b%2FhQEogYfACYASAAAAAcASwKDAAD%2F%2F%2F8b%2FhQEsAYfACYASAAAAAcATgKDAAAAAgBcAkoC3wW8AAoAEAAhQA8NBwYQAQUFCRAQAwceAyAAPz8SOS8zMxEzETMRMzEwASMHIzchNwEzAzMjEjcGBwcCyYErfyv%2BkxcB4YV5f%2F5FFRRazQMUysplAkP9zQFCSSRx9gAAA%2F8b%2FhQHLQYfAD0AQQBMAEpAJkpFQEAoPxUzJB4kRlktHgAXChooOgooCkdZNygPBRMOE0ZZAA4bAD8zKxEAMxg%2FMysRADMRMxEzGD8zKxEAMxg%2FETMQxDIxMAEiJzUWMzI2NxMhAwYGIyInNRYzMjY3EyM%2FAjY2MzIWFwcmIyIGBwchNzY2MzIWFwcmIyIGBwczByMDBgYBIxMzAzQ2MzIVFAYjIiYCIUc2PTZEVhrj%2Fh%2FoJ6KERThAMEZYGePBDc4XLqOgKHQgK0w9V10dGQHiGC2ioilxJC1MPVlcHBjvGu7nK6EDT6jpqHlAM1hDLCY2%2FhQVjRZzfAQ6%2B7a9rhWNFnR7BDpDQmTIpRcOgR1hgWxsxaYWD4EdZnxsf%2Fu2w6gB7ARIARg2SVo3TDEAAAL%2FG%2F4UBzsGHwADAEEAQUAiAgABFTcoIihGWTEiAD4bDh4sLA5HWTssDwkXEhdGWQQSGwA%2FMysRADMYPzMrEQAzETMzGD8zKxEAMxg%2FPzEwISMBMwEiJzUWMzI2NxMhAwYGIyInNRYzMjY3EyM%2FAjY2MzIWFwcmIyIGBwchNzY2MzIWFwcmIyIGBwczByMDBgYF8KgBS6j65kc2PTZEVhrj%2Fh%2FoJ6KERThAMEZYGePBDc4XLqOgKHQgK0w9V10dGQHiGC2ioilxJC1MPVlcHBjvGu7nK6EGFPgAFY0Wc3wEOvu2va4VjRZ0ewQ6Q0JkyKUXDoEdYYFsbMWmFg%2BBHWZ8bH%2F7tsOoAAH%2FG%2F4UBg4GHwA9ADpAHhooMyQeJEZZLR4AFzoKKApHWTcoDwUTDhNGWQAOGwA%2FMysRADMYPzMrEQAzMxg%2FMysRADMRMzEwASInNRYzMjY3EyEDBgYjIic1FjMyNjcTIz8CNjYzMhYXByYjIgYHByE3NjYzMhYXByYjIgYHBzMHIwMGBgIhRzY9NkRWGuP%2BH%2BgnooRFOEAwRlgZ48ENzhcuo6AodCArTD1XXR0ZAeIYLaKiKXEkLUw9WVwcGO8a7ucrof4UFY0Wc3wEOvu2va4VjRZ0ewQ6Q0JkyKUXDoEdYYFsbMWmFg%2BBHWZ8bH%2F7tsOoAAABAFYAAAI1BbYAAwAKswEDABIAPz8xMDMBMwFWATeo%2FskFtvpK%2F%2F8AVgAAAlEHcwImANcAAAEHAEL%2BygFSAAq0AQUFBSYAKxE1%2F%2F8AVgAAA0IHcwImANcAAAEHAHX%2FiAFSAAq0AQ0NBSYAKxE1%2F%2F8AVgAAAygHcwImANcAAAEHAMD%2FMgFSAAq0AQoKBSYAKxE1%2F%2F8AVgAAAykHJQImANcAAAEHAGn%2FQAFSAAy1AgEXFwUmACsRNTUAAAABAAAA3ACKABYAVwAFAAIAEAAvAFwAAAEOAI0AAwABAAAAGwAbABsAGwBJAGYAvQElAZMB%2FwISAjMCUwJ9ApwCsgLEAuAC9QMvA1ADjAPeBBoEYAS3BNUFOQWPBb8F6gYLBigGSwaaBxYHRgeTB8oIAAguCFQInAjDCOcJEAkqCWEJjAnLCf8KSwqJCtQK8wslC0gLiAuwC9AL%2BAwUDCgMQwxfDHEMiQzSDR4NUg2dDeYOLw63DvYPGA9ND3wPjg%2FmEB8QWhCmEPMRIxFqEakR4RIDEkcSbxKnEs8TGRMrE3UTphOmE9AUFhRgFLAU%2BhUZFYIVrBYbFlkWjhajFqsXGxctF1oXihe7F%2FsYFRhTGH0YhhiqGMoY9xkrGUEZVhlsGbkZyxndGe8aARoUGi4adxqDGpUapxq5GswbGBsqGzwbThtgG3IbhRuxHA0cHxwxHEMcVhxoHKMdFR0mHTcdSB1ZHWsdfR4AHgweHR4uHj8eUR5jHnUehx6aHv4fDx8gHzEfQh9TH2Uflx%2F0IAUgFiAnIDkgSiCaIKwgvSEVIYkhrCHdIgsiHSIvIkYiXyJ1IpsiwyLnIwEjHyM%2BI1MjtyPII9Qj4CQTJKslLyWpJbwlziXgJfImBQAAAAEAAAABGZrmFEmmXw889QAJCAAAAAAAyWNIwAAAAADJ6EvO%2FAT92wnZCGIAAgAJAAIAAAAAAAAEzQDBAAAAAAQUAAACFAAAAhIAKwMXAOEFKwA%2FBGgASAZYAKgFXABCAbwA4QJIAFICSP9gBGoA1wRoAH8B7P%2BcAn8ANwIGACsCzf%2BiBGgAeQRoAS8EaAAMBGgALwRoABAEaABQBGgAhQRoAK4EaABgBGgAYgIGACsCBv%2BcBGgAeQRoAH8EaAB5A2oAngbHAG8Ecf%2BLBMkAVgSuAJYFVABWBBcAVgPHAFYFagCWBW0AVgIj%2FsEEdQBWA8sAVgayAFQFngBUBcMAlgSHAFYFwwCWBI0AVgQEACcD%2FAC6BWgApARiALwG0QDfBCf%2FmAQGALwEP%2F%2FwAkr%2F8ALNAN0CSv9qBCMANQMn%2F0QEbwI%2FBIUAYgSeADsDmgBiBJ4AYgPyAGICgf8bBAL%2FgQSeADsCCAA7Agj%2B%2FgPnADkCCAA5BvoAOwSeADsEfQBiBJ7%2F1QSeAGIDKwA7A20ACAKYAFoEngBxA7IAYgW8AHUD0%2F%2B2A7L%2FOwON%2F%2BMCywAbBGgCHQLL%2F7YEaABzAhQAAAIS%2F%2FIEaADhBGj%2F6QRoAKgEaAB%2FBGgCHQPjADsEbwHJBqgAiwKuAKoDvgBYBGgAfwJ%2FADcGqACLAw4A4wNtANcEaAB%2FAs0AYALNAHcEbwIUBKr%2F1QU9AMcCBgCqAaT%2FVgLNAQICsACoA74AFwXuAHsF7gBCBh0AVwNq%2F%2FwEcf%2BLBHH%2FiwRx%2F4sEcf%2BLBHH%2FiwRx%2F4sGif%2BJBK4AlgQXAFYEFwBWBBcAVgQXAFYFVABIBZ4AVAXDAJYFwwCWBcMAlgXDAJYFwwCWBGgAqAXDAHcFaACkBWgApAVoAKQFaACkBAYAvASHAFYEnv8ABIUAYgSFAGIEhQBiBIUAYgSFAGIEhQBiBoUAYgOaAGID8gBiA%2FIAYgPyAGID8gBiAggAOwIIADsCCAA7AggAOwSNAFoEngA7BH0AYgR9AGIEfQBiBH0AYgR9AGIEaAB%2FBH0APQSeAHEEngBxBJ4AcQSeAHEDsv87BJ7%2F1QOy%2FzsCCAA7BtcAlgbpAGIEbwGPBJ4CJwRvAVAD1wA3B64ANwFcAHsBXAB9Aez%2FnALPAHsCzwB9A1r%2FnAMGAMcCRABYAkQAFwEM%2FhkEaAA%2FBGgAfwSN%2FxsEjf8bAs0AXAcX%2FxsHF%2F8bBQz%2FGwIvAFYAVgBWAFYAVgABAAAIjf2oAAAJefwE%2FhwJ2QgAAbMAAAAAAAAAAAAAAAAA2AADBGsBkAAFAAgFmgUzAAABHwWaBTMAAAPRAGYCAAAAAgsGBgMFBAICBOAAAu9AACBbAAAAKAAAAAAxQVNDAAEAIP%2F9Bh%2F%2BFACECI0CWCAAAZ8AAAAABEgFtgAAACAAAwAAAAEAAwABAAAADAAEALgAAAAqACAABAAKAEgASQB%2BAMsAzwD%2FATEBUwLGAtoC3CAUIBogHiAiIDogRCB0IKwiEv%2F%2FAAAAIABJAEoAoADMANABMQFSAsYC2gLcIBMgGCAcICIgOSBEIHQgrCIS%2F%2F%2F%2F4wCO%2F%2BL%2FwQAM%2F73%2FjP9s%2Ffr95%2F3m4LDgreCs4Kngk%2BCK4F%2FgI96%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%2BAYiMgECOKsQwMinBFYCCwAFBYsAFhuP%2B6ixuwRoxZsBBgaAE6WS0sIEWwAyVGUkuwE1FbWLACJUYgaGGwAyWwAyU%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%2F%2BCxNCAbszMANABZREQtLLAWQ1iwAyZFilhkZrAfYBtksCBgZiBYGyGwQFmwAWFZI1hlWbApI0QjELAp4BshISEhIVktLLACQ1RYS1MjS1FaWDgbISFZGyEhISFZLSywFkNYsAQlRWSwIGBmIFgbIbBAWbABYSNYG2VZsCkjRLAFJbAIJQggWAIbA1mwBCUQsAUlIEawBCUjQjywBCWwByUIsAclELAGJSBGsAQlsAFgI0I8IFgBGwBZsAQlELAFJbAp4LApIEVlRLAHJRCwBiWwKeCwBSWwCCUIIFgCGwNZsAUlsAMlQ0iwBCWwByUIsAYlsAMlsAFgQ0gbIVkhISEhISEhLSwCsAQlICBGsAQlI0KwBSUIsAMlRUghISEhLSwCsAMlILAEJQiwAiVDSCEhIS0sRSMgRRggsABQIFgjZSNZI2ggsEBQWCGwQFkjWGVZimBELSxLUyNLUVpYIEWKYEQbISFZLSxLVFggRYpgRBshIVktLEtTI0tRWlg4GyEhWS0ssAAhS1RYOBshIVktLLACQ1RYsEYrGyEhISFZLSywAkNUWLBHKxshISFZLSywAkNUWLBIKxshISEhWS0ssAJDVFiwSSsbISEhWS0sIIoII0tTiktRWlgjOBshIVktLACwAiVJsABTWCCwQDgRGyFZLSwBRiNGYCNGYSMgECBGimG4%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%2BsQECBgywCiNlQrALI0IBsAEjPwCwAiM%2FsQECBgywBiNlQrAHI0KwARYBLSywgLACQ1CwAbACQ1RbWCEjELAgGskbihDtWS0ssFkrLSyKEOUtQJkJIUggVSABHlUfSANVHx4BDx4%2FHq8eA01LJh9MSzMfS0YlHyY0EFUlMyRVGRP%2FHwcE%2Fx8GA%2F8fSkkzH0lGJR8TMxJVBQEDVQQzA1UfAwEPAz8DrwMDR0YZH%2BtGASMiMx8cMxtVFjMVVREBD1UQMw9VDw9PDwIfD88PAg8P%2Fw8CBgIBAFUBMwBVbwB%2FAK8A7wAEEAABgBYBBQG4AZCxVFMrK0u4B%2F9SS7AJUFuwAYiwJVOwAYiwQFFasAaIsABVWltYsQEBjlmFjY0AQh1LsDJTWLAgHVlLsGRTWLAQHbEWAEJZc3MrK15zdHUrKysrK3Qrc3QrKysrKysrKysrKysrc3QrKysYXgAAAAYUABcATgW2ABcAdQW2Bc0AAAAAAAAAAAAAAAAAAARIABQAkQAA%2F%2BwAAAAA%2F%2BwAAAAA%2F%2BwAAP4U%2F%2BwAAAW2ABf8lP%2Fr%2FoX%2BXv6o%2F%2BsAFv68AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAAAAAAAAIsAgQDdAJgAjwCOAJkAiACBAQ8AAAABAAAejAABBRUYAAAKBn4ABQAk%2F3EABQA2ACkABQA4ACkABQA5ACkABQA7ABQABQBD%2F64ABQBF%2F4UABQBG%2F4UABQBH%2F4UABQBJ%2F8MABQBP%2F8MABQBQ%2F8MABQBR%2F4UABQBS%2F8MABQBT%2F4UABQBU%2F8MABQBV%2F8MABQBX%2F8MABQCB%2F3EABQCC%2F3EABQCD%2F3EABQCE%2F3EABQCF%2F3EABQCG%2F3EABQCaABQABQCd%2F4UABQCe%2F64ABQCf%2F64ABQCg%2F64ABQCh%2F64ABQCi%2F64ABQCj%2F64ABQCk%2F4UABQCl%2F4UABQCm%2F4UABQCn%2F4UABQCo%2F4UABQCv%2F4UABQCw%2F4UABQCx%2F4UABQCy%2F4UABQCz%2F4UABQC1%2F4UABQC2%2F8MABQC3%2F8MABQC4%2F8MABQC5%2F8MABQC%2F%2F4UACgAk%2F3EACgA2ACkACgA4ACkACgA5ACkACgA7ABQACgBD%2F64ACgBF%2F4UACgBG%2F4UACgBH%2F4UACgBJ%2F8MACgBP%2F8MACgBQ%2F8MACgBR%2F4UACgBS%2F8MACgBT%2F4UACgBU%2F8MACgBV%2F8MACgBX%2F8MACgCB%2F3EACgCC%2F3EACgCD%2F3EACgCE%2F3EACgCF%2F3EACgCG%2F3EACgCaABQACgCd%2F4UACgCe%2F64ACgCf%2F64ACgCg%2F64ACgCh%2F64ACgCi%2F64ACgCj%2F64ACgCk%2F4UACgCl%2F4UACgCm%2F4UACgCn%2F4UACgCo%2F4UACgCv%2F4UACgCw%2F4UACgCx%2F4UACgCy%2F4UACgCz%2F4UACgC1%2F4UACgC2%2F8MACgC3%2F8MACgC4%2F8MACgC5%2F8MACgC%2F%2F4UACwAsALgADwAm%2F5oADwAq%2F5oADwAx%2F5oADwAz%2F5oADwA2%2F3EADwA3%2F9cADwA4%2F4UADwA5%2F4UADwA7%2F4UADwCI%2F5oADwCP%2F5oADwCQ%2F5oADwCR%2F5oADwCS%2F5oADwCT%2F5oADwCV%2F5oADwCW%2F9cADwCX%2F9cADwCY%2F9cADwCZ%2F9cADwCa%2F4UADwC%2B%2F5oAEAA2%2F64AEQAm%2F5oAEQAq%2F5oAEQAx%2F5oAEQAz%2F5oAEQA2%2F3EAEQA3%2F9cAEQA4%2F4UAEQA5%2F4UAEQA7%2F4UAEQCI%2F5oAEQCP%2F5oAEQCQ%2F5oAEQCR%2F5oAEQCS%2F5oAEQCT%2F5oAEQCV%2F5oAEQCW%2F9cAEQCX%2F9cAEQCY%2F9cAEQCZ%2F9cAEQCa%2F4UAEQC%2B%2F5oAJAAF%2F3EAJAAK%2F3EAJAAm%2F9cAJAAq%2F9cAJAAsAQoAJAAx%2F9cAJAAz%2F9cAJAA2%2F3EAJAA4%2F64AJAA5%2F64AJAA7%2F4UAJACI%2F9cAJACP%2F9cAJACQ%2F9cAJACR%2F9cAJACS%2F9cAJACT%2F9cAJACV%2F9cAJACa%2F4UAJAC%2B%2F9cAJADG%2F3EAJADJ%2F3EAJQAP%2F64AJQAR%2F64AJQAk%2F9cAJQA2%2F8MAJQA4%2F%2BwAJQA5%2F%2BwAJQA6%2F9cAJQA7%2F%2BwAJQA8%2F%2BwAJQCB%2F9cAJQCC%2F9cAJQCD%2F9cAJQCE%2F9cAJQCF%2F9cAJQCG%2F9cAJQCa%2F%2BwAJQDH%2F64AJQDK%2F64AJgAm%2F9cAJgAq%2F9cAJgAx%2F9cAJgAz%2F9cAJgCI%2F9cAJgCP%2F9cAJgCQ%2F9cAJgCR%2F9cAJgCS%2F9cAJgCT%2F9cAJgCV%2F9cAJgC%2B%2F9cAJwAP%2F64AJwAR%2F64AJwAk%2F9cAJwA2%2F8MAJwA4%2F%2BwAJwA5%2F%2BwAJwA6%2F9cAJwA7%2F%2BwAJwA8%2F%2BwAJwCB%2F9cAJwCC%2F9cAJwCD%2F9cAJwCE%2F9cAJwCF%2F9cAJwCG%2F9cAJwCa%2F%2BwAJwDH%2F64AJwDK%2F64AKAAsAHsAKQAP%2F4UAKQAR%2F4UAKQAiACkAKQAk%2F9cAKQCB%2F9cAKQCC%2F9cAKQCD%2F9cAKQCE%2F9cAKQCF%2F9cAKQCG%2F9cAKQDH%2F4UAKQDK%2F4UALQAm%2F9cALQAq%2F9cALQAx%2F9cALQAz%2F9cALQCI%2F9cALQCP%2F9cALQCQ%2F9cALQCR%2F9cALQCS%2F9cALQCT%2F9cALQCV%2F9cALQC%2B%2F9cALgAF%2F1wALgAK%2F1wALgAm%2F9cALgAq%2F9cALgAx%2F9cALgAz%2F9cALgA2%2F9cALgA3%2F%2BwALgA4%2F9cALgA5%2F9cALgA7%2F8MALgCI%2F9cALgCP%2F9cALgCQ%2F9cALgCR%2F9cALgCS%2F9cALgCT%2F9cALgCV%2F9cALgCW%2F%2BwALgCX%2F%2BwALgCY%2F%2BwALgCZ%2F%2BwALgCa%2F8MALgC%2B%2F9cALgDG%2F1wALgDJ%2F1wAMQAP%2F64AMQAR%2F64AMQAk%2F9cAMQA2%2F8MAMQA4%2F%2BwAMQA5%2F%2BwAMQA6%2F9cAMQA7%2F%2BwAMQA8%2F%2BwAMQCB%2F9cAMQCC%2F9cAMQCD%2F9cAMQCE%2F9cAMQCF%2F9cAMQCG%2F9cAMQCa%2F%2BwAMQDH%2F64AMQDK%2F64AMgAP%2FvYAMgAR%2FvYAMgAk%2F5oAMgA6%2F9cAMgA8%2F%2BwAMgCB%2F5oAMgCC%2F5oAMgCD%2F5oAMgCE%2F5oAMgCF%2F5oAMgCG%2F5oAMgDH%2FvYAMgDK%2FvYAMwAP%2F64AMwAR%2F64AMwAk%2F9cAMwA2%2F8MAMwA4%2F%2BwAMwA5%2F%2BwAMwA6%2F9cAMwA7%2F%2BwAMwA8%2F%2BwAMwCB%2F9cAMwCC%2F9cAMwCD%2F9cAMwCE%2F9cAMwCF%2F9cAMwCG%2F9cAMwCa%2F%2BwAMwDH%2F64AMwDK%2F64ANgAP%2F4UANgAQ%2F64ANgAR%2F4UANgAiACkANgAk%2F3EANgAm%2F9cANgAq%2F9cANgAx%2F9cANgAz%2F9cANgA2ACkANgBD%2F1wANgBF%2F3EANgBG%2F3EANgBH%2F3EANgBJ%2F3EANgBP%2F5oANgBQ%2F5oANgBR%2F3EANgBS%2F5oANgBT%2F3EANgBU%2F5oANgBV%2F4UANgBX%2F5oANgBY%2F9cANgBZ%2F9cANgBa%2F9cANgBb%2F9cANgBc%2F64ANgCB%2F3EANgCC%2F3EANgCD%2F3EANgCE%2F3EANgCF%2F3EANgCG%2F3EANgCI%2F9cANgCP%2F9cANgCQ%2F9cANgCR%2F9cANgCS%2F9cANgCT%2F9cANgCV%2F9cANgCd%2F3EANgCe%2F1wANgCf%2F1wANgCg%2F1wANgCh%2F1wANgCi%2F1wANgCj%2F1wANgCk%2F3EANgCl%2F3EANgCm%2F3EANgCn%2F3EANgCo%2F3EANgCv%2F3EANgCw%2F3EANgCx%2F3EANgCy%2F3EANgCz%2F3EANgC1%2F3EANgC2%2F5oANgC3%2F5oANgC4%2F5oANgC5%2F5oANgC6%2F9cANgC%2B%2F9cANgC%2F%2F3EANgDD%2F64ANgDE%2F64ANgDH%2F4UANgDK%2F4UANwAP%2F9cANwAR%2F9cANwAk%2F%2BwANwCB%2F%2BwANwCC%2F%2BwANwCD%2F%2BwANwCE%2F%2BwANwCF%2F%2BwANwCG%2F%2BwANwDH%2F9cANwDK%2F9cAOAAP%2F5oAOAAR%2F5oAOAAiACkAOAAk%2F64AOAAm%2F%2BwAOAAq%2F%2BwAOAAx%2F%2BwAOAAz%2F%2BwAOABD%2F9cAOABF%2F9cAOABG%2F9cAOABH%2F9cAOABJ%2F%2BwAOABP%2F%2BwAOABQ%2F%2BwAOABR%2F9cAOABS%2F%2BwAOABT%2F9cAOABU%2F%2BwAOABV%2F%2BwAOABX%2F%2BwAOACB%2F64AOACC%2F64AOACD%2F64AOACE%2F64AOACF%2F64AOACG%2F64AOACI%2F%2BwAOACP%2F%2BwAOACQ%2F%2BwAOACR%2F%2BwAOACS%2F%2BwAOACT%2F%2BwAOACV%2F%2BwAOACd%2F9cAOACe%2F9cAOACf%2F9cAOACg%2F9cAOACh%2F9cAOACi%2F9cAOACj%2F9cAOACk%2F9cAOACl%2F9cAOACm%2F9cAOACn%2F9cAOACo%2F9cAOACv%2F9cAOACw%2F9cAOACx%2F9cAOACy%2F9cAOACz%2F9cAOAC1%2F9cAOAC2%2F%2BwAOAC3%2F%2BwAOAC4%2F%2BwAOAC5%2F%2BwAOAC%2B%2F%2BwAOAC%2F%2F9cAOADH%2F5oAOADK%2F5oAOQAP%2F5oAOQAR%2F5oAOQAiACkAOQAk%2F64AOQAm%2F%2BwAOQAq%2F%2BwAOQAx%2F%2BwAOQAz%2F%2BwAOQBD%2F9cAOQBF%2F9cAOQBG%2F9cAOQBH%2F9cAOQBJ%2F%2BwAOQBP%2F%2BwAOQBQ%2F%2BwAOQBR%2F9cAOQBS%2F%2BwAOQBT%2F9cAOQBU%2F%2BwAOQBV%2F%2BwAOQBX%2F%2BwAOQCB%2F64AOQCC%2F64AOQCD%2F64AOQCE%2F64AOQCF%2F64AOQCG%2F64AOQCI%2F%2BwAOQCP%2F%2BwAOQCQ%2F%2BwAOQCR%2F%2BwAOQCS%2F%2BwAOQCT%2F%2BwAOQCV%2F%2BwAOQCd%2F9cAOQCe%2F9cAOQCf%2F9cAOQCg%2F9cAOQCh%2F9cAOQCi%2F9cAOQCj%2F9cAOQCk%2F9cAOQCl%2F9cAOQCm%2F9cAOQCn%2F9cAOQCo%2F9cAOQCv%2F9cAOQCw%2F9cAOQCx%2F9cAOQCy%2F9cAOQCz%2F9cAOQC1%2F9cAOQC2%2F%2BwAOQC3%2F%2BwAOQC4%2F%2BwAOQC5%2F%2BwAOQC%2B%2F%2BwAOQC%2F%2F9cAOQDH%2F5oAOQDK%2F5oAOgAm%2F9cAOgAq%2F9cAOgAx%2F9cAOgAz%2F9cAOgCI%2F9cAOgCP%2F9cAOgCQ%2F9cAOgCR%2F9cAOgCS%2F9cAOgCT%2F9cAOgCV%2F9cAOgC%2B%2F9cAOwAP%2F4UAOwAR%2F4UAOwAiACkAOwAk%2F4UAOwAm%2F9cAOwAq%2F9cAOwAx%2F9cAOwAz%2F9cAOwBD%2F5oAOwBF%2F5oAOwBG%2F5oAOwBH%2F5oAOwBJ%2F9cAOwBP%2F8MAOwBQ%2F8MAOwBR%2F5oAOwBS%2F8MAOwBT%2F5oAOwBU%2F8MAOwBV%2F64AOwBX%2F8MAOwBc%2F9cAOwCB%2F4UAOwCC%2F4UAOwCD%2F4UAOwCE%2F4UAOwCF%2F4UAOwCG%2F4UAOwCI%2F9cAOwCP%2F9cAOwCQ%2F9cAOwCR%2F9cAOwCS%2F9cAOwCT%2F9cAOwCV%2F9cAOwCd%2F5oAOwCe%2F5oAOwCf%2F5oAOwCg%2F5oAOwCh%2F5oAOwCi%2F5oAOwCj%2F5oAOwCk%2F5oAOwCl%2F5oAOwCm%2F5oAOwCn%2F5oAOwCo%2F5oAOwCv%2F5oAOwCw%2F5oAOwCx%2F5oAOwCy%2F5oAOwCz%2F5oAOwC1%2F5oAOwC2%2F8MAOwC3%2F8MAOwC4%2F8MAOwC5%2F8MAOwC%2B%2F9cAOwC%2F%2F5oAOwDH%2F4UAOwDK%2F4UAPAAm%2F%2BwAPAAq%2F%2BwAPAAx%2F%2BwAPAAz%2F%2BwAPACI%2F%2BwAPACP%2F%2BwAPACQ%2F%2BwAPACR%2F%2BwAPACS%2F%2BwAPACT%2F%2BwAPACV%2F%2BwAPAC%2B%2F%2BwAPQAsALgAQwAF%2F%2BwAQwAK%2F%2BwAQwDG%2F%2BwAQwDJ%2F%2BwARAAF%2F%2BwARAAK%2F%2BwARABY%2F9cARABZ%2F9cARABa%2F9cARABb%2F9cARABc%2F%2BwARAC6%2F9cARADG%2F%2BwARADJ%2F%2BwARQAFACkARQAKACkARQDGACkARQDJACkARwAF%2F%2BwARwAK%2F%2BwARwBY%2F9cARwBZ%2F9cARwBa%2F9cARwBb%2F9cARwBc%2F%2BwARwC6%2F9cARwDG%2F%2BwARwDJ%2F%2BwASAAFAHsASAAKAHsASADGAHsASADJAHsASgAF%2F%2BwASgAK%2F%2BwASgDG%2F%2BwASgDJ%2F%2BwATQBF%2F9cATQBG%2F9cATQBH%2F9cATQBR%2F9cATQBT%2F9cATQCd%2F9cATQCk%2F9cATQCl%2F9cATQCm%2F9cATQCn%2F9cATQCo%2F9cATQCv%2F9cATQCw%2F9cATQCx%2F9cATQCy%2F9cATQCz%2F9cATQC1%2F9cATQC%2F%2F9cATwAF%2F%2BwATwAK%2F%2BwATwDG%2F%2BwATwDJ%2F%2BwAUAAF%2F%2BwAUAAK%2F%2BwAUADG%2F%2BwAUADJ%2F%2BwAUQAF%2F%2BwAUQAK%2F%2BwAUQBY%2F9cAUQBZ%2F9cAUQBa%2F9cAUQBb%2F9cAUQBc%2F%2BwAUQC6%2F9cAUQDG%2F%2BwAUQDJ%2F%2BwAUgAF%2F%2BwAUgAK%2F%2BwAUgBY%2F9cAUgBZ%2F9cAUgBa%2F9cAUgBb%2F9cAUgBc%2F%2BwAUgC6%2F9cAUgDG%2F%2BwAUgDJ%2F%2BwAVAAFAFIAVAAKAFIAVABD%2F9cAVABF%2F9cAVABG%2F9cAVABH%2F9cAVABJ%2F%2BwAVABR%2F9cAVABT%2F9cAVACd%2F9cAVACe%2F9cAVACf%2F9cAVACg%2F9cAVACh%2F9cAVACi%2F9cAVACj%2F9cAVACk%2F9cAVACl%2F9cAVACm%2F9cAVACn%2F9cAVACo%2F9cAVACv%2F9cAVACw%2F9cAVACx%2F9cAVACy%2F9cAVACz%2F9cAVAC1%2F9cAVAC%2F%2F9cAVADGAFIAVADJAFIAVgAFACkAVgAKACkAVgDGACkAVgDJACkAWAAFAFIAWAAKAFIAWAAP%2F64AWAAR%2F64AWAAiACkAWADGAFIAWADH%2F64AWADJAFIAWADK%2F64AWQAFAFIAWQAKAFIAWQAP%2F64AWQAR%2F64AWQAiACkAWQDGAFIAWQDH%2F64AWQDJAFIAWQDK%2F64AWgBF%2F9cAWgBG%2F9cAWgBH%2F9cAWgBR%2F9cAWgBT%2F9cAWgCd%2F9cAWgCk%2F9cAWgCl%2F9cAWgCm%2F9cAWgCn%2F9cAWgCo%2F9cAWgCv%2F9cAWgCw%2F9cAWgCx%2F9cAWgCy%2F9cAWgCz%2F9cAWgC1%2F9cAWgC%2F%2F9cAWwAFAFIAWwAKAFIAWwAP%2F64AWwAR%2F64AWwAiACkAWwDGAFIAWwDH%2F64AWwDJAFIAWwDK%2F64AXQAsALgAgQAF%2F3EAgQAK%2F3EAgQAm%2F9cAgQAq%2F9cAgQAsAQoAgQAx%2F9cAgQAz%2F9cAgQA2%2F3EAgQA4%2F64AgQA5%2F64AgQA7%2F4UAgQCI%2F9cAgQCP%2F9cAgQCQ%2F9cAgQCR%2F9cAgQCS%2F9cAgQCT%2F9cAgQCV%2F9cAgQCa%2F4UAgQC%2B%2F9cAgQDG%2F3EAgQDJ%2F3EAggAF%2F3EAggAK%2F3EAggAm%2F9cAggAq%2F9cAggAsAQoAggAx%2F9cAggAz%2F9cAggA2%2F3EAggA4%2F64AggA5%2F64AggA7%2F4UAggCI%2F9cAggCP%2F9cAggCQ%2F9cAggCR%2F9cAggCS%2F9cAggCT%2F9cAggCV%2F9cAggCa%2F4UAggC%2B%2F9cAggDG%2F3EAggDJ%2F3EAgwAF%2F3EAgwAK%2F3EAgwAm%2F9cAgwAq%2F9cAgwAsAQoAgwAx%2F9cAgwAz%2F9cAgwA2%2F3EAgwA4%2F64AgwA5%2F64AgwA7%2F4UAgwCI%2F9cAgwCP%2F9cAgwCQ%2F9cAgwCR%2F9cAgwCS%2F9cAgwCT%2F9cAgwCV%2F9cAgwCa%2F4UAgwC%2B%2F9cAgwDG%2F3EAgwDJ%2F3EAhAAF%2F3EAhAAK%2F3EAhAAm%2F9cAhAAq%2F9cAhAAsAQoAhAAx%2F9cAhAAz%2F9cAhAA2%2F3EAhAA4%2F64AhAA5%2F64AhAA7%2F4UAhACI%2F9cAhACP%2F9cAhACQ%2F9cAhACR%2F9cAhACS%2F9cAhACT%2F9cAhACV%2F9cAhACa%2F4UAhAC%2B%2F9cAhADG%2F3EAhADJ%2F3EAhQAF%2F3EAhQAK%2F3EAhQAm%2F9cAhQAq%2F9cAhQAsAQoAhQAx%2F9cAhQAz%2F9cAhQA2%2F3EAhQA4%2F64AhQA5%2F64AhQA7%2F4UAhQCI%2F9cAhQCP%2F9cAhQCQ%2F9cAhQCR%2F9cAhQCS%2F9cAhQCT%2F9cAhQCV%2F9cAhQCa%2F4UAhQC%2B%2F9cAhQDG%2F3EAhQDJ%2F3EAhgAF%2F3EAhgAK%2F3EAhgAm%2F9cAhgAq%2F9cAhgAsAQoAhgAx%2F9cAhgAz%2F9cAhgA2%2F3EAhgA4%2F64AhgA5%2F64AhgA7%2F4UAhgCI%2F9cAhgCP%2F9cAhgCQ%2F9cAhgCR%2F9cAhgCS%2F9cAhgCT%2F9cAhgCV%2F9cAhgCa%2F4UAhgC%2B%2F9cAhgDG%2F3EAhgDJ%2F3EAhwAsAHsAiAAm%2F9cAiAAq%2F9cAiAAx%2F9cAiAAz%2F9cAiACI%2F9cAiACP%2F9cAiACQ%2F9cAiACR%2F9cAiACS%2F9cAiACT%2F9cAiACV%2F9cAiAC%2B%2F9cAiQAsAHsAigAsAHsAiwAsAHsAjAAsAHsAjQAP%2F64AjQAR%2F64AjQAk%2F9cAjQA2%2F8MAjQA4%2F%2BwAjQA5%2F%2BwAjQA6%2F9cAjQA7%2F%2BwAjQA8%2F%2BwAjQCB%2F9cAjQCC%2F9cAjQCD%2F9cAjQCE%2F9cAjQCF%2F9cAjQCG%2F9cAjQCa%2F%2BwAjQDH%2F64AjQDK%2F64AjwAP%2F64AjwAR%2F64AjwAk%2F9cAjwA2%2F8MAjwA4%2F%2BwAjwA5%2F%2BwAjwA6%2F9cAjwA7%2F%2BwAjwA8%2F%2BwAjwCB%2F9cAjwCC%2F9cAjwCD%2F9cAjwCE%2F9cAjwCF%2F9cAjwCG%2F9cAjwCa%2F%2BwAjwDH%2F64AjwDK%2F64AkAAP%2F64AkAAR%2F64AkAAk%2F9cAkAA2%2F8MAkAA4%2F%2BwAkAA5%2F%2BwAkAA6%2F9cAkAA7%2F%2BwAkAA8%2F%2BwAkACB%2F9cAkACC%2F9cAkACD%2F9cAkACE%2F9cAkACF%2F9cAkACG%2F9cAkACa%2F%2BwAkADH%2F64AkADK%2F64AkQAP%2F64AkQAR%2F64AkQAk%2F9cAkQA2%2F8MAkQA4%2F%2BwAkQA5%2F%2BwAkQA6%2F9cAkQA7%2F%2BwAkQA8%2F%2BwAkQCB%2F9cAkQCC%2F9cAkQCD%2F9cAkQCE%2F9cAkQCF%2F9cAkQCG%2F9cAkQCa%2F%2BwAkQDH%2F64AkQDK%2F64AkgAP%2F64AkgAR%2F64AkgAk%2F9cAkgA2%2F8MAkgA4%2F%2BwAkgA5%2F%2BwAkgA6%2F9cAkgA7%2F%2BwAkgA8%2F%2BwAkgCB%2F9cAkgCC%2F9cAkgCD%2F9cAkgCE%2F9cAkgCF%2F9cAkgCG%2F9cAkgCa%2F%2BwAkgDH%2F64AkgDK%2F64AkwAP%2F64AkwAR%2F64AkwAk%2F9cAkwA2%2F8MAkwA4%2F%2BwAkwA5%2F%2BwAkwA6%2F9cAkwA7%2F%2BwAkwA8%2F%2BwAkwCB%2F9cAkwCC%2F9cAkwCD%2F9cAkwCE%2F9cAkwCF%2F9cAkwCG%2F9cAkwCa%2F%2BwAkwDH%2F64AkwDK%2F64AlQAP%2F64AlQAR%2F64AlQAk%2F9cAlQA2%2F8MAlQA4%2F%2BwAlQA5%2F%2BwAlQA6%2F9cAlQA7%2F%2BwAlQA8%2F%2BwAlQCB%2F9cAlQCC%2F9cAlQCD%2F9cAlQCE%2F9cAlQCF%2F9cAlQCG%2F9cAlQCa%2F%2BwAlQDH%2F64AlQDK%2F64AlgAP%2F9cAlgAR%2F9cAlgAk%2F%2BwAlgCB%2F%2BwAlgCC%2F%2BwAlgCD%2F%2BwAlgCE%2F%2BwAlgCF%2F%2BwAlgCG%2F%2BwAlgDH%2F9cAlgDK%2F9cAlwAP%2F9cAlwAR%2F9cAlwAk%2F%2BwAlwCB%2F%2BwAlwCC%2F%2BwAlwCD%2F%2BwAlwCE%2F%2BwAlwCF%2F%2BwAlwCG%2F%2BwAlwDH%2F9cAlwDK%2F9cAmAAP%2F9cAmAAR%2F9cAmAAk%2F%2BwAmACB%2F%2BwAmACC%2F%2BwAmACD%2F%2BwAmACE%2F%2BwAmACF%2F%2BwAmACG%2F%2BwAmADH%2F9cAmADK%2F9cAmQAP%2F9cAmQAR%2F9cAmQAk%2F%2BwAmQCB%2F%2BwAmQCC%2F%2BwAmQCD%2F%2BwAmQCE%2F%2BwAmQCF%2F%2BwAmQCG%2F%2BwAmQDH%2F9cAmQDK%2F9cAmgAP%2F4UAmgAR%2F4UAmgAiACkAmgAk%2F4UAmgAm%2F9cAmgAq%2F9cAmgAx%2F9cAmgAz%2F9cAmgBD%2F5oAmgBF%2F5oAmgBG%2F5oAmgBH%2F5oAmgBJ%2F9cAmgBP%2F8MAmgBQ%2F8MAmgBR%2F5oAmgBS%2F8MAmgBT%2F5oAmgBU%2F8MAmgBV%2F64AmgBX%2F8MAmgBc%2F9cAmgCB%2F4UAmgCC%2F4UAmgCD%2F4UAmgCE%2F4UAmgCF%2F4UAmgCG%2F4UAmgCI%2F9cAmgCP%2F9cAmgCQ%2F9cAmgCR%2F9cAmgCS%2F9cAmgCT%2F9cAmgCV%2F9cAmgCd%2F5oAmgCe%2F5oAmgCf%2F5oAmgCg%2F5oAmgCh%2F5oAmgCi%2F5oAmgCj%2F5oAmgCk%2F5oAmgCl%2F5oAmgCm%2F5oAmgCn%2F5oAmgCo%2F5oAmgCv%2F5oAmgCw%2F5oAmgCx%2F5oAmgCy%2F5oAmgCz%2F5oAmgC1%2F5oAmgC2%2F8MAmgC3%2F8MAmgC4%2F8MAmgC5%2F8MAmgC%2B%2F9cAmgC%2F%2F5oAmgDH%2F4UAmgDK%2F4UAmwAP%2FvYAmwAR%2FvYAmwAk%2F5oAmwA6%2F9cAmwA8%2F%2BwAmwCB%2F5oAmwCC%2F5oAmwCD%2F5oAmwCE%2F5oAmwCF%2F5oAmwCG%2F5oAmwDH%2FvYAmwDK%2FvYAnQAF%2F%2BwAnQAK%2F%2BwAnQDG%2F%2BwAnQDJ%2F%2BwAngAF%2F%2BwAngAK%2F%2BwAngDG%2F%2BwAngDJ%2F%2BwAnwAF%2F%2BwAnwAK%2F%2BwAnwDG%2F%2BwAnwDJ%2F%2BwAoAAF%2F%2BwAoAAK%2F%2BwAoADG%2F%2BwAoADJ%2F%2BwAoQAF%2F%2BwAoQAK%2F%2BwAoQDG%2F%2BwAoQDJ%2F%2BwAogAF%2F%2BwAogAK%2F%2BwAogDG%2F%2BwAogDJ%2F%2BwApQAF%2F%2BwApQAK%2F%2BwApQBY%2F9cApQBZ%2F9cApQBa%2F9cApQBb%2F9cApQBc%2F%2BwApQC6%2F9cApQDG%2F%2BwApQDJ%2F%2BwApgAF%2F%2BwApgAK%2F%2BwApgBY%2F9cApgBZ%2F9cApgBa%2F9cApgBb%2F9cApgBc%2F%2BwApgC6%2F9cApgDG%2F%2BwApgDJ%2F%2BwApwAF%2F%2BwApwAK%2F%2BwApwBY%2F9cApwBZ%2F9cApwBa%2F9cApwBb%2F9cApwBc%2F%2BwApwC6%2F9cApwDG%2F%2BwApwDJ%2F%2BwAqAAF%2F%2BwAqAAK%2F%2BwAqABY%2F9cAqABZ%2F9cAqABa%2F9cAqABb%2F9cAqABc%2F%2BwAqAC6%2F9cAqADG%2F%2BwAqADJ%2F%2BwArQAF%2F%2BwArQAK%2F%2BwArQBY%2F9cArQBZ%2F9cArQBa%2F9cArQBb%2F9cArQBc%2F%2BwArQC6%2F9cArQDG%2F%2BwArQDJ%2F%2BwArwAF%2F%2BwArwAK%2F%2BwArwBY%2F9cArwBZ%2F9cArwBa%2F9cArwBb%2F9cArwBc%2F%2BwArwC6%2F9cArwDG%2F%2BwArw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AXQAwKDE9ZCgcDE09ZAxkAPysAGD8rMTABEAAhIiY1EBIkMyAFIgYCFRQWMzI2EjU0JgRW%2Fq%2F%2B0MbNqAEgvQGP%2FlZQi2A3RlGLXT0D9P4q%2Fc708wEpAeDx%2BtD%2BdKpzddQBhr9vZgABALYAAAPlBbYACgAQtgQHAQkGARgAPz8SOTkxMCEhEzY3BgYHJwEzArD%2Bz7QjKQlp0oUCNvkDPZiHCE6D1wFcAAAB%2F88AAARKBcsAGgAeQA8CARkQCU5ZEAcBGU5ZARgAPysAGD8rERIAOTEwISE3ATY2NTQmIyIGByc2NjMyFhUUBgYHBRUhA5H8PisB3bSJUkVCi2aShPCCvt5So7n%2B8wI41QGon79US09DVctwX8Sha7y8l94KAAABAA7%2F7ARQBcsAJwA1QBwDFxgYF1FZDBgBDQMYGAshJR9PWSUHCxFPWQsZAD8rABg%2FKxESADkYL19eXSsREgA5MTABFAYHFRYWFRQGBCMiJxEWFjMyNjU0ISM3MzI2NTQmIyIHJzY2MzIWBFC9p4OHlP7sve%2BUVMRdnqr%2B%2FoouSafAVk6GmX982Yq%2B2AR9nNQdBBqheYXSdU8BCzIzf3Gs3XxuQ0pkzFFBtQAAAv%2FnAAAEUAW2AAoAEwAlQBIQAwcBBRMFUFkGCRMTAwcGAxgAPz8SOS8zMysRADMREjkxMAEjAyETITcBIQMzITc2NjcjBgcBBASqP%2F7bP%2F2yMAMCATfDqv4xOgw4DgYjYf7HAS%2F%2B0QEv6gOd%2FGn4OtQjP3b%2BjAAAAQAb%2F%2BwEaAW2ABwAJkAUABNQWQAABxcXGk5ZFwYHDU9ZBxkAPysAGD8rERIAORgvKzEwATIWFRQGBCMiJicRFjMyNjU0JiMiBycTIQMhAzYCb7fUj%2F7uwXXLPa6ymq5zbWZvaM8C8zf%2BF1hIA5rOuKf6hy4jAQ1jjnteXiFOAt3%2B%2Bv7bDwACAFj%2F7ASBBc0AGQAmAC1AFw0XEBAgUFkQEBcFBQpPWQUHFxpPWRcZAD8rABg%2FKxESADkYLysREgA5MTATNBISJDMyFwcmIyIGBzM2MzIWFRQCBiMiJgUyNjU0JiMiBgYVFBZYetUBLM99YjNUa8LvQgRzxJ2rju%2Be1NgBumN9Q0U8bUJQAdXKAYMBG5Ab9hnY7abCsKn%2B347%2BB7yOR1VHeGRbaAAAAQBOAAAEwQW2AAYAEbcAGAMCTlkDBgA%2FKwAYPzEwMwEhEyEHAU4C4f2LOAPPKf0QBLIBBML7DAADADf%2F7ARmBc0AFwAjAC0AIEAQGCkNAAAkUVkABw0eUVkNGQA%2FKwAYPysREgA5OTEwATIWFhUUBgcWFRQGBiMiJjUQJSY1NDY2EwYGFRQWMzI2NTQmEyIGFRQXNjU0JgLRe7lhoZbZf%2Buc1vUBXKV03Ah0cmRVXW1JHExae7lPBc1UmGKGxzSN4HrBasiqASqAhKd3u2j8ti18W1Ffa1VJdQKfXUmERUiVRE4AAgBW%2F%2BwERAXNABkAJwAtQBcNFxAQIVBZEBAEFxcaT1kXBwQJT1kEGQA%2FKwAYPysREgA5GC8rERIAOTEwARACBCMiJxEWMzI2NjcjBiMiJjU0EjYzMhYFIgYGFRQWMzI2NjU0JgRExv627oBwb3R5rXMqBG%2B4o7OS9qPL0%2F5BQWU3S0Q8Zz1HA%2Bn%2B6P4G6yABAClis6iez7amAReJ9gJUkFFXWUl%2FX1RqAAACABn%2F5QIxBHMACwAXABdADAMJVFkDEBUPVFkVFgA%2FKwAYPysxMBM0NjMyFhUUBiMiJgM0NjMyFhUUBiMiJs9vXkRRbVpIU7ZrYURSbllJUgOsXGtNRVZsSf0LWmxMRVdsSwAAAv%2Ba%2FvgCMQRzAAYAEgAVQAkDgAUKEFRZChAAPysAGC8azjEwJQYHIzYTIQM0NjMyFhUUBiMiJgGBdpDhSngBHapvXkRRbVpIU9f%2F4KcBTwK%2BXGtNRVZsSQAAAQBtAMsEJQUAAAYAFbcEAwMGAAIBBQA9LzMzMzIzETMxMCUBNQEVAQEEJfxIA7j9fQKDywG2jwHw8P7D%2FucAAAIAbQGiBCUEAAADAAcAG0AQAAEEHwUBLwV%2FBd8F7wUEBQAvXXEzxjIxMBM1IRUBNSEVbQO4%2FEgDuAMn2dn%2Be9vbAAEAbQDLBCUFAAAGABpACgAGBgECAwMFBAEAPS8zMzMRMxEzETMxMBMBATUBFQFtAoP9fQO4%2FEgBugEZAT3w%2FhCP%2FkoAAgCm%2F%2BUD7gXLABoAJgAkQBMPAB8AAgkDAAAkCQ8EJB5UWSQWAD8rABg%2FMxI5L19eXTEwATc2Njc2NjU0IyIGByc2MzIWFRQGBgcOAgcBNDYzMhYVFAYjIiYBBA4TbXZ8Q4UycZFc5texzjlsiEBBKBL%2BoG5fRFFuWEpSAeVOZ5RRVFY1dyBE3X2vnVOFcVsrPEVK%2Fo5ba0xFV2xMAAACAFz%2FRgbFBbYAOABEADJAGQgLORLvEAEaQARAC%2FALARILEgsoITYDKC4ALzM%2FMxI5OS8vXREzMxEzXREzEjkxMAEUAgYjIiYnIwYGIyImNTQSNjMyFwMGBhUUMzI2NjU0JiMiBAIVFAAzMjY3FQYjIiQCNRASJCEgAAUiBgYVFBYzMhM3JgbFgOONWHEQBjJ%2BVH%2BOh%2FCUuY5qCxA6QnRF9%2BzL%2Frm3AQzydc135uvZ%2Fr6q8QG9ARMBPgFq%2FR5Sf0kxLY1IOSQDSK3%2B2KZNRk1Gn5aTAQOXN%2F5cLEEgRIDWa9XhvP6o3PP%2B7SguulqrATjLARcBtPf%2BufZnq1lBSgEO3goAAAL%2FhQAABIsFvAAHAA8AH0APDAMEDwFMWQ8PBAcDEgQDAD8%2FMxI5LysREgA5MTABIQMhASETIQMDJjU1BgcDA0r%2BJ6z%2BwAL%2BAXWT%2FtcnGgosQbwBXP6kBbz6RAJgAV6DeiR4hv5%2FAAMANQAABOMFtgAPABcAHwA1QBwGHxAQH01ZDBABDQMQEA4PDxdMWQ8DDhhMWQ4SAD8rABg%2FKxESADkYL19eXSsREgA5MTABMhYVFAYHFRYWFRQEISEBEzMyNjU0IyMDMzI2NTQjIwMU5eqmmWR3%2Fs7%2B8v32ATW3lXl5qpjKtHWFt6UFtqOilsMgBhqNbuX4Bbb9vWFbifxIdGeiAAEAe%2F%2FsBTcFzQAZABdADBMATFkTBAwHTFkMEwA%2FKwAYPysxMAEiBgIVFBYzMjcRBiMiABEQEiQzMhYXByYmA4mE04CJlpLAx8n%2B%2FubQAVzifcJvdmqKBMui%2FsW1p6JN%2FvxNASsBEgEGAbnlLTz6OyYAAAIANQAABSsFtgAJABMAF0AMBhJMWQYDBRNMWQUSAD8rABg%2FKzEwARACBCMhASEgAAEyNhI1NCYjIwMFK8T%2Bjfz%2BPQE1AYwBDgEn%2FNuU3HyRiHPKA43%2B6P5j2AW2%2FuL8aJgBJ76aofxIAAABADUAAAScBbYACwAuQBkGCUxZDAYBDQMGBgECAgVMWQIDAQpMWQESAD8rABg%2FKxESADkYL19eXSsxMCEhASEHIQMhByEDIQNm%2FM8BNQMyNv4AQwHdN%2F4jUAIABbb%2B%2Fr%2F%2B%2FocAAQA1AAAEmAW2AAkAHUAPBglMWQYGAgESAgVMWQIDAD8rABg%2FEjkvKzEwISEBIQchAyEHIQFm%2Fs8BNQMuNv4ETwHZOP4nBbb%2B%2Fof9AAEAe%2F%2FsBW0FzQAdACZAFAAdTFkAAAUMDBJMWQwEBRlMWQUTAD8rABg%2FKxESADkYLysxMAEhAwYGIyAAERASJDMyFwcmJiMiBgIVFBYzMjcTIQLyAjOihuWA%2Fv3%2B5tYBhP7awHNKlFeZ8YmRlkxeQv71AzX9Bi4hASYBEwEMAbHrY%2FsoMKb%2BzbGsoRgBKwABADUAAAWkBbYACwAeQBAIA0xZTAgBCAgFCgYDAQUSAD8zPzMSOS9dKzEwISETIQMhASEDIRMhBG%2F%2Bzob%2BKYb%2BzwE1ATJ5Add5ATECd%2F2JBbb9wwI9AAH%2Bvv5SArIFtgANABG3CQMABUxZACMAPysAGD8xMAMiJzUWMzI2NwEhAQYGh15dWExjexwBJQEx%2FtE09%2F5SG%2F0UeYMFZPpx9eAAAQA1AAAFpAW2AAwAI0AQDAICAwsLBgMICAUGAwEFEgA%2FMz8SOREzETMREjkRMzEwISEDBwMhASEDNwEhAQR1%2Fq7TfW3%2BzwE1ATKYngGZAWn9rgJQRv32Bbb9Qs0B8f1EAAABADUAAAOcBbYABQARtwEDAANMWQASAD8rABg%2FMTAzASEBIQM1ATUBMv8AAgA2Bbb7Sv8AAAABADUAAAcUBbYAEwAZQAwLCBMDEAERAwoEEBIAPzMzPzMSFzkxMAEBIQEhEzY3IwEhAyMGAgMhASETA0YCJwGn%2Fsv%2B6JE1NAX9x%2F7nPQQLNqD%2B7QE1AZREAXEERfpKArT3wvuTBG1Y%2FuL9CQW2%2B7sAAQA1AAAGFAW2ABAAFUAJAwsIDwkDAQgSAD8zPzMSOTkxMCEhASMHBgcDIQEhATM2EhMhBN%2F%2Bqv6cBgQgIpH%2B7QE1AWUBVAQMNpkBEgRSINiq%2FVAFtvvLTAEaAs8AAAIAe%2F%2FsBZgFzQANABsAF0AMCw5MWQsEBBVMWQQTAD8rABg%2FKzEwARACBCMgABEQEiQzMgAlIgYCFRQWMzI2EjU0JgWYxv6o4P8A%2FuHGAVzk%2FwEY%2FdB5ynOFeXnHcIIDqv7l%2FkHkAScBBgEJAb3u%2FuAet%2F7Au5OWrgE%2Bxo6bAAIANQAABKYFtgAHABIAHUAPDABMWQwMDw4SDwdMWQ8DAD8rABg%2FEjkvKzEwATMyNjU0IyMFFAAhIwMhASEyFgIKOI6jw0oCQP6t%2FtZWbf7PATUBUvL4AwaKdLSs8f7t%2FfgFttUAAAIAe%2F6kBZgFzQAQAB4AIUAQBQcOEUxZDgQDBwcYTFkHEwA%2FKxEAMxg%2FKwAYEMYxMAEQAgcTIQMjIAAREBIkMzIAJSIGAhUUFjMyNhI1NCYFmPXU%2Fv6Zshr%2FAP7hxgFc5P8BGP3QecpzhXl5x3CCA6r%2BxP4hYv53AUgBJwEGAQkBve7%2B4B63%2FsC7k5auAT7GjpsAAgA1AAAErAW2AAgAFgAmQBMTCQwACU1ZAAAMFQsSDAhMWQwDAD8rABg%2FMxI5LysREgA5MTABMzI2NTQmIyMDAyEBITIWFRQGBwEhAwISToOSX2ZKiXf%2BzwE1AWft7qacAQX%2BtM8DLXJ1UlL9ef3PBbbMxZ7jN%2F2TAjEAAAEAKf%2FsBFYFywAjACBAEAseAxYWG0xZFgQDCExZAxMAPysAGD8rERIAOTkxMAEUBCMiJxEWMzI2NTQmJicmJjU0NjYzMhcHJiMiBhUUFhcWFgOy%2Ftj93YfBpXB%2BGzJjinB85ZXZtG2chFNqQnN5eAGw0fNaARJsVUorQThKY8JwgctxY%2BlKWko9W0tQwQABAKgAAATRBbYABwAWQAoBEgcDBANMWQQDAD8rEQAzGD8xMCEhEyETIQMhAjv%2Bz%2F7%2BoDcD8jf%2BnwS0AQL%2B%2FgAAAQCN%2F%2BwFmgW2ABQAFEAJFAoDBBBMWQQTAD8rABg%2FMzEwAQMCACEiJjU0NxMhAwYVFDMyNjcTBZrJOf6%2B%2Fv7U8w%2FEATHCEb17kCDCBbb8Tv72%2FvLjwkhCA5v8aUozspmYA5UAAAEAuAAABXEFtgANABC2DQYDBwMGEgA%2FPzMSOTEwATY3ASEBIQMhExYVBgcCF04gAbABPP0U%2FrJ%2FASczBAIEASvdPgNw%2BkoFtvyQLVhnLwAAAQC4AAAH5wW2AB4AGUAMCh4TAwQXDwUDGgQSAD8zPzMzEhc5MTABBgcBIQMhExQGBzM2NjcBIRMUBzM2NwEhASEDJzQ3A%2B4uRf68%2Fq4tAR8GCAYGFloPAXEBDhUJBitYAUoBNf15%2FqYWAgQD%2BpKZ%2FTEFtvziNPI1QOkdAzP8l5J%2BgdwDHPpKAtGLWEYAAAH%2FiwAABXkFtgALABhADAgLBQIEBAkGAwEEEgA%2FMz8zEhc5MTAhIQMBIQEDIRMBIQEEZP61rP50%2FqoCQO4BQJkBawFY%2Fd8CH%2F3hAvwCuv36Agb9KwAAAQC6AAAFPwW2AAgAF0AKAwYAAAUBBwMFEgA%2FPzMSOREzMzEwAQEhAQMhEwMhAnMBdgFW%2FZZ3%2FtF37AE4A2YCUPx5%2FdECLwOHAAAB%2F8MAAASwBbYACQAkQBIHBAUFBExZBQMCCAEBCExZARIAPysREgA5GD8rERIAOTEwISE3ASETIQcBIQOY%2FCsmAwn94TUDqCn88gJUyQPtAQDK%2FBQAAAH%2F2%2F68AzEFtgAHAA61BQIDBgEnAD8zPzMxMAEhASEHIwEzAbT%2BJwF9Adkt1%2F7d1%2F68BvrT%2BqwAAQDdAAACwQW2AAMACrMDAwISAD8%2FMTABEyEDAeHg%2FvXZBbb6SgW2AAH%2Fd%2F68AssFtgAHAA61AwQDAAcnAD8zPzMxMAczASM3IQEhXNUBI9ctAdn%2Bg%2F4pcQVU0%2FkGAAEAFAIIBCcFvgAGAA20BQAEAgMAP80yOTEwEwEzASMDARQCa5MBFd%2Bu%2Fm4CCAO2%2FEoCef2HAAH%2FRv68Apr%2FSAADAAy0AgABAQEAL10zMTABITchAnv8yx4DNv68jAABAfwE2QOmBiEACAAKsgaAAQAvGs0xMAEjJiYnNSEWFwOmuEeHJAE3JE8E2UWpRRWUmwAAAgBa%2F%2BwEngRzABIAIAAlQBMLEQ8MDwcaR1kHEAATR1kAFg8VAD8%2FKwAYPysAGD8SOTkxMAUiJjU0EjYzMhYXMzczAyM3IwYnMjY2NTQmIyIGBhUUFgGWk6mQ6oxhjScIOeju5Q4EhkNFgE5NP0R7SUMU1cDGAWfFVFCP%2B6KRpfOG5ZFHXZDsdFhYAAACACX%2F7ARoBhQAFAAhACtAFgoRChEHAA0ADBUAFUdZABAHHEdZBxYAPysAGD8rABg%2FPxESOTkvLzEwATIWFRQCBiMiJyMHIwEhAwYHMzY2ByIGBhUUFjMyNjY1NAMtkqmI7pDCUgg65wFKAS0%2BKSsIToEtRHxQSkFDeksEc9i%2Bvv6d0KOPBhT%2B4LZ1Ykj0gueHUGCK8XWwAAEAWv%2FsA%2FIEcwAZABdADAcNR1kHEAAUR1kAFgA%2FKwAYPysxMAUiJjU0EiQzMhcHJiYjIgYGFRQWMzI2NxUGAfrJ15UBDq22klw2aEJViU1bUUyCRZgU18TUAVu9SOUXIoDfgGBhLyP2TwACAFr%2F7AT6BhQAFgAjACdAFAsUAAcPAAceR1kHEAAXR1kAFhIVAD8%2FKwAYPysAGD8REjk5MTAFIiY1NBI2MzIWFzM3NjcTIQEjNyMGBjcyNjY1NCYjIgYGFRQBlpOpj%2BqNUnc1CAIGE0wBLf625Q4ER5shQn1MS0FEe0kU1sHEAWXHSlocblUBZvnskVdO84nkg1BgkOx0sAAAAgBa%2F%2BwEQgRzAAgAIQAuQBkDF0tZDwMBDAYDAwkQEABKWRAQCRxGWQkWAD8rABg%2FKxESADkYL19eXSsxMAEiBgczMjY1NAEiJjU0EiQzMhYVFAQhIwcVFBYzMjY3FQYCuFicGC2brf7z0uilARqyscb%2Bsv7KMwJnYFeOZawDmqBzYVNf%2FFLizs8BVbOjjrvLFRRbaSYw41YAAAH%2FJf4UA9sGHwAeACpAFgwKHBkQFUdZEAAZHEZZGQ8ABUdZABsAPysAGD8rABg%2FKxESADk5MTADIic1FjMyNjcTIz8CNjYzMhcHJiMiBgcHMwcjAwItaEY9Nj1cE8yjHrcSKcOwg2hQRUA5RgwM2zHc103%2BFBnyFVBaA8WRVFS%2BrzHgH1BBPuX8Dv6NAAAD%2F43%2BFASiBHMAKAA0AD4ANEAcBzpLWQcHKA4bKSY1S1kmECgCSlkoDxUuS1kVGwA%2FKwAYPysAGD8rABgvMzMSOS8rMTABBwcWFRQGIyInBhUUFhcXFhYVFAQhIiY1NDY3JjU0NjcmJjU0NjMyFwEGBhUUMzI2NTQmJxMiBhUUMzI2NTQEoiOuEPLQOyhUPDuJo5X%2ByP7e0OmJkkpZZkE%2B%2B9hTU%2F5Wam3Cl5pBaYdNX2dLXQRcpik0QsPjChszIh4IEhV%2FeNPgl4RmkzAvVkdnLzF%2BWsfpF%2FueDlZCc1pSJyoOA8iZc3eZdXUAAAEAJQAABG0GFAAZABxADhALFBQGR1kUEAwAAQsVAD8zPz8rERIAOTEwISETNjU0IyIGBwMhASEGBgczNjYzMhYVFAcD0f7TiRBsXJYrYv7TAUoBLScqQQg%2BmGSKlxcCjUQze%2BTM%2FjEGFLXC1E1dp5tJawAAAgAlAAACjQYUAAoADgATQAoDCUlZAwANDwwVAD8%2FPysxMAE0NjMyFhUUBiMiEyETIQFCX1dJTFhclxD%2B0%2B0BLQVkV1k%2BOlBj%2BxcEXgAAAv74%2FhQCjwYUAAsAFgAaQA4PFUlZDwAIDwAFR1kAGwA%2FKwAYPz8rMTADIic1FjMyNxMhAQITNDYzMhYVFAYjIlpoRj01iST9AS7%2B901YX1dJTFhcl%2F4UGfIVqgSq%2Byn%2BjQdQV1k%2BOlBjAAEAJQAABPAGFAAPABlADQ4GBQIECAkAAA8ECBUAPzM%2FPxEXOTEwASEBASEDBwMhASEDBgcHMwOYAVj%2BDgEd%2FrC3eEr%2B0wFKAS2UCBUcBARe%2Fgj9mgGkSP6kBhT9SilMZgAAAQAlAAACnAYUAAMACrMCAAEVAD8%2FMTAhIQEhAVL%2B0wFKAS0GFAABACUAAAbVBHMAJgAlQBIlAwAXDSEVEhwAHEdZBgAQIg8APz8yKxEAMxg%2FMzMSOTkxMAEyFzM2NjMyFhUUBwMhEzY1NCMiBgcDIRM2NTQjIgYHAyETMwczNgNM2ysGRLlpiI8Xhf7TihBiXJUsYP7TiRBiXJYrYv7T7eYVBpIEc%2BRudqqYTGj9gwKNRDN74M7%2BLwKNRDN75Mz%2BMQRez%2BQAAQAlAAAEbQRzABYAHEAODgsREQZHWREQDA8BCxUAPzM%2FPysREgA5MTAhIRM2NTQjIgYHAyETMwczNjMyFhUUBwPR%2FtOJEGxcliti%2FtPt5hUGktGKlxcCjUQze%2BTM%2FjEEXs%2Fkp5tJawACAFr%2F7ARUBHMACwAZABdADBcCR1kXEBAIR1kQFgA%2FKwAYPysxMAE0IyIGBhUUMzI2NiUUAgQjIiY1NBIkMzIWAyWPS3dLlkt4QwEvjf72t8PpjwEOtcTkArjFeux9uXvbgdP%2BurPrw9UBTbfsAAL%2FvP4UBGgEcwAUACEAJ0AUEA8PGwoSBwAHHEdZBxYAFUdZABAAPysAGD8rERIAOTkYPz8xMAEyFhUUAgYjIiYnIwYHAyEBMwczNhciBgYVFBYzMjY2NTQDLZKpie6PU3gzCAwfSP7TAVbmEQmKOkR%2FTUpBQ3pLBHPXwb%2F%2Bn89KWZ%2BI%2FqwGSqq%2F9IfhiFBgivF1sAACAFr%2BFASeBHMAFgAkACdAFAsUAAgNDxAbCB5HWQgQABdHWQAWAD8rABg%2FKwAYPz8REjk5MTAFIiYmNTQSNjMyFhczNzMBITY2NyMGBjcyNjY1NCYjIgYGFRQWAYdYiE2Q6oxWhToIOej%2Bqv7TLzQ6CEiOPUB%2FSUtBRHtJSRRftoDGAWfFS1mP%2Bbba77leTPOM3oZQYJDsdFhYAAABACUAAAOqBHMADwAUQAkNCgUAEAoVCw8APz8%2FMhE5MTABMhcDJiMiBgcDIRMzBzM2A0o7JUItN3SvJWr%2B0%2B3mFQaTBHML%2Ft4Qt6v%2BDARez%2BQAAQAX%2F%2BwDoARzACIAIEAQDB0DFRUaRlkVEAMJRlkDFgA%2FKwAYPysREgA5OTEwARQGIyImJzUWMzI2NTQmJyYmNTQ2MzIXByYjIgYVFBYXFhYDPfnea59FnaJQZkpeeWDdzcmiY4x2OUZAWHtuAXG8yR4j%2BFpBOCtENESHXKq7X9dUMysnOy0%2FlAAAAQBe%2F%2BwDbwVMABgAJ0ATDxFACxQOEREURlkRDwUAR1kFFgA%2FKwAYPysRADMRMxoYEM0xMCUyNxUGIyImNTQ3EyM%2FAjMHIQchAwYVFAICQWFvm5aNDHOYHcSEwjEBGzL%2B5nMG3yPhNX6EMj4CG5NU7O7l%2FeUeF0oAAQBv%2F%2BwEsgReABYAG0ANDxEKAA8RBkdZERYNFQA%2FPysAGD8zEjkxMAEhAwYVFDMyNjcTIQMjNyMGIyImNTQ3AQYBLYkQbFyWK2IBLe3mFQaR0oqSGARe%2FXNEM3vkzAHP%2B6LP46WcXXgAAAEAZgAABI8EXgALABC2CwYDBw8GFQA%2FPzMSOTEwATY3ASEBIQMhExYVAcc3JQEpAUP9pP69igEnLQcBLZlGAlL7ogRe%2FbaFYgAAAQB9AAAGtgReAB4AGUAMABMJAwUbBBUYDwUPAD8zMz8zEhc5MTABBgcDIQMhEwcHMz4CNxMhERQHMzc2NxMhASEDNDcDWD496f68MwEZBAQHBAYQVgPnAUgKBhxJFtsBM%2F3u%2FrYGCgNcso394wRe%2FhGnqxQr5gQCGP3ojptQ0DIB7%2FuiAgibuQAAAf%2BcAAAEpAReAAsAGEAMCQYAAwQLBAEPCAsVAD8zPzMSFzkxMAEDIRMTIQETIQMBIQF74QFBc%2FQBYv4t9P66ff74%2FqICPQIh%2FrIBTv3P%2FdMBVv6qAAAB%2F3P%2BFASRBF4AFgAYQAsEFgkADw0SR1kNGwA%2FKwAYPzMvMzEwEyETFhUzNjY3ASEBAiEiJzUWMzI2NzdmASc4DgYUMCkBBAFH%2FVix%2Fs5aOUQwVH82GgRe%2Ffp6qzOJVQIa%2BwL%2BtBPwDWBlMQAB%2F9EAAAPHBF4ACQAkQBIHBAUFBEZZBQ8CCAEBCEZZARUAPysREgA5GD8rERIAOTEwISE3ASE3IQcBIQLs%2FOUjAj%2F%2BczMC7iv9ygG3tALB6cj9UwAB%2F%2Fj%2BvANkBbYAJwAbQAwCAxMTHwwMCgMeHycAPzM%2FMxESOREzMzEwEzQjNzI2NxM2NjMzBwYGBwMGBxUWFhUUBwcGFRQWMxUjIiY1NDc3NsnRLXqNFj0murFUMVpRD0It51VTDyQHQzo1p60OJw8BP4zlU2EBHaqL4QJBSv7Xzx0IGnFOLEWyHBc2KOJ%2FeTlEuEUAAQHH%2Fi8CogYOAAMACbIDAAAAP80xMAEzESMBx9vbBg74IQAAAf%2Bc%2FrwC4QW2ACYAG0AMCgkbGxIlJgMTExInAD8RMz8zEjkRMzMxMAEgFRQHBwYVFDMHIgYHAwYGIyM1NjY3EzY2NzUmNTQ3NzY1NCYjNwEAAVQOJw%2FRLXqNFT4lu7EtXVgPQhmMb6gPJQZJSSkFtvg4RLlFEYvlVGH%2B5KqM4gNBSQEpb24OCTOmK0WzHhU2KOEAAAEAbQInBCUDfQAXAChAGQMMEhIPAB8GAQ8GHwY%2FBl8GfwaPBq8GBwYAL11xMzMzfS8zMzEwASIGBzU2MzIWFxYWMzI2NxUGIyImJyYmAVY2fTZlm0BqVkBeMDN6PWeZO2RhWUwCoEI3520cJBscPTznbRcoJhIAAAL%2Ftv6NAiUEXgADAA8AIUARAAAQAAIJAwAADQMNB1RZDQ8APysAGC8SOS9fXl0xMBMzAyEBFAYjIiY1NDYzMha28p7%2BrAJvb15EUWxaSVMCXvwvBURca0xGVW1KAAABAKT%2F7AQ7BcsAHgAqQA8MElBZCQxACgceGE9ZAh64%2F8C1EBNIHgEZAD%2FNKzIrABg%2FGs0yKzEwBSM3JiY1NBI2NzczBxYXByYmIyICFRQWMzI2NxUGBwI%2FvDGGin3nmCG8I3ZrXDVoQoWmWlJLgkWIoxTSJMiewQFEyReeng4z5hci%2FuLBYGAvI%2FZHCQAAAf%2F0AAAE2QXNABwALUAXDBcYF1FZCRgYEgAABU9ZAAcSD05ZEhgAPysAGD8rERIAORgvMysRADMxMAEyFwcmIyIGBwchByEHBgchAyE3Njc3IzczNzY2A2jDrnGNYEtgFC8BKy3%2B1RIqpwKPN%2FwfMcQwFsAtwDEp8gXNVuhET13l3FTDS%2F789jDYaNz3xc8AAgBzAP4EIwSqABsAJwAuQCAXExAaAgwJBQgHFRUfBw8lHyU%2FJV8lfyWvJc8l7yUIJQAvXTPGMhESFzkxMBM0Nyc3FzYzMhc3FwcWFRQHFwcnBiMiJwcnNyY3FBYzMjY1NCYjIga%2BNoGTf1tqaVt%2FloE1NX2Sf19lc1R9kX82z21QUW9xT05vAtNmX3%2BTfzU3gY%2BBWW5rXH2RfTMze5F9XWhNb25OUG5wAAABAFgAAAUKBbYAFgA%2BQCAGEhMSUlkAAwEDDxMBCQMTDwoODw5SWQcPDwwBFQYMGAA%2FPzMSOS8zKxEAMxgQxF9eXTIREjkrEQAzMTABASEBMwcjBzMHIwchNyM3MzcjNzMDIQJgAXMBN%2F4Gyyf8HPwl%2FC%2F%2B3S%2F8Jfwd%2FCfEwAEpA2gCTv0Vsoqy3d2yirIC6wACAcf%2BLwKiBg4AAwAHABG2AwQDBAcAAAA%2FLzk5Ly8xMAEzESMRMxEjAcfb29vbBg780f5%2F%2FNEAAAIAFP%2FsBAQGKQAqADUAGkAOMSsTFzEoBh0OCQEiHRYAPzM%2FMxIXOTEwEzQ2NyYmNTQ2MzIXByYjIhUUFhcWFRQHFhYVFAYjIic1FjMyNjU0JicmJgEGBhUUFhc2NjU0ll9rKjjqxKysUpOHkFFX8sEmNPzbzISsrWNbQl51gAFkMz5XZDE1AvhZlEQiZTmVq1jBVGorQidqxbxzI2U6oblL4GlGOSdDLjmUATUZWzY2VS4fXzBtAAACAY0E%2BARGBgQACQAUAA60DQMDEwgALzMzETMxMAE0NjMyFRQGIyIlNDYzMhYVFAYjIgGNVU2FTlKHAZJUTkFET1GHBWZOUGxJV25OUDg0SVcAAwB9%2F%2BwGXAXLABYAJgA2AEdAMgAAEgEAEhAScBKAEpAS4BLwEgcSEhsGDwwBDwwfDH8MjwyfDO8M%2FwwHDAwjMxsEKyMTAD8zPzMSOS9dcTMROS9dcTMxMAEiBhUUFjMyNjcVBiMiJjU0NjMyFwcmATQSJDMyBBIVFAIEIyIkAjcUEgQzMiQSNTQCJCMiBAIDpG9ob2grgzuDg8Te69COjkty%2FH7IAV7KxwFdy8X%2BpM7P%2FqLDjaMBHaOnARqhof7lpqT%2B46ID8pKNhoofHL859dbh%2FEiuOv7pyAFeysb%2Bn8nH%2FqTMzwFaxqT%2B5qSmARmjowEZpqX%2B5gACAJgC8ANtBccAEQAcABhACgoPBw4SAAsYBx8APzPE1DLEEjk5MTABIiY1NDY2MzIXMzczAyM3IwYnMjY2NTQjIgYVFAFxZ3JcmmR4PAYnmp6aCAJQMS1ONVhJZQLwjIB13nhnWv1CXGiXU51MasB3bwACAEgAWgR%2FBAgABgANAD1AHg0GBgMHAAAKAwMCCwQEDDAFAQUFAQ4JAgIIIAEBAQAvXTMzETMREjkvXTMzETMSOREzMxEzETMRMzEwEwEXARMHAyUBFwETBwNIAZG%2F%2FumH9soB5wGSvv7piPbLAjkBz5v%2Bsv6iZwHNEgHPm%2F6y%2FqJnAc0AAAEAbQD4BCUDPwAFAB9AFQEDDwQfBD8EAy8EnwS%2FBN8E7wQFBAAvXXEzxDEwJSMRITUhBCXb%2FSMDuPgBbNv%2F%2FwApAagCagKiAgYAEAAAAAQAff%2FsBlwFywANABYAJgA2ADlAHwMHBw4OCgUJDwkfCQIWCgAKEAoCCQoJCiMzGwQrIxMAPzM%2FMxI5OS8vXREzXREzEjkvMxEzMTABFAYHEyMDIxEjESEyFgEzMjY1NCYjIwE0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCBNVYVsX%2BikPmATStuf5MM0hSR1E1%2FVzIAV7KxwFdy8X%2BpM7P%2FqLDjaMBHaOnARqhof7lpqT%2B46IDg1Z%2FIf6YASn%2B1wNqh%2F7uPj07O%2F70yAFeysb%2Bn8nH%2FqTMzwFaxqT%2B5qSmARmjowEZpqX%2B5gAAAf%2F6BhQEMwbdAAMAGUARAg8BLwE%2FAW8BfwGvAe8BBwEAL10zMTABITchBAb79C0EDAYUyQAAAgCkAxkDWAXLAA8AGwAWQAsTcAwBXwwBDBkEBwA%2FM8RdXTIxMBM0NjYzMhYWFRQGBiMiJiY3FBYzMjY1NCYjIgakXaJbXaFcXKBeXaBdvltBQlpbQUFbBHFdoVxeoFxdoFtaoF4%2FW1w%2BP15fAAACAG0AAAQlBO4ACwAPABdACQ0MCwkBAQYEAgAvMzMzETMzLzMxMAEhNSERMxEhFSERIwE1IRUB2%2F6SAW7bAW%2F%2Bkdv%2BkgO4AqLbAXH%2Bj9v%2Bk%2F7L29sAAAEAOwJKAysFywAZABVACQIYAQoQHxgBIAA%2FMz8zERI5MTABITclPgI1NCYjIgcnNjYzMhYVFAYGBwchAsP9eCMBEW88HTMjVmZkSqRue5MsYI2BAVsCSqbbWz44HCooUp45PH5hRmplZl8AAAEAXAI5Ay0FyQAlACdAFwMWFg8XHxe%2FF88X3xcFFxcJHiMfDwkhAD8zPzMSOS9dMxI5MTABFAYHFRYVFAYjIiYnNRYzMjY1NCYjIzczMjY1NCYjIgcnNjMyFgMtZnOa1rJLjTJ9gUxiND5%2FIlpUYTQtVmZSjquCmQT2V3UeBCGPg5wfGcBIPTolM6A4OSgoQpZcbwABAeME2QQQBiEACAAKsgOACAAvGs0xMAE2NyEVBgYHIwHjT48BTy7YVtEE8ljXETjBPgAAAf%2B8%2FhQEvgReABoAIEAQEgwOBxcPFhsOA0dZDhYKFQA%2FPysAGD8%2FMxI5OTEwARQWMzI2NxMhAyM3IwYjIiYnIwYGAyEBIQMGAag%2FMFqRLWIBLe3lEgZ1lTNNFAYIG0X%2B0AFWAS2HEAFcPEHV1QHV%2B6KwxCccQpL%2BuQZK%2FXtGAAABAJP%2B%2FASyBhQADwATtwgIDgUBAw4AAD8zLzMSOS8xMAEjESMRIxEGIyImNRASMyEEsqKmoT5U2MzX7AJc%2FvwGUPmwAzMS%2BvsBAAECAP%2F%2FAIMCKQHlA30ABwARAGoCRAAB%2FzH%2BFAEGAAAAEQAbQAsQEA0NCQ4GCQkDGwA%2FMxEzLxI5Ejl8LzEwBRQGIyInNRYzMjU0Jic3MwcWAQaml1ZCPz5mPk9guSeN%2BnR%2BF6gXUiItCZpIMQAAAQCBAkoC3wW2AAoAELYGCQMAHgMgAD8%2FETk5MTABMwMjEzY3BgcHJwIQz7r2VBgfEECDZgW2%2FJQBjW1iDy1RpQAAAgCiAvADKQXHAAwAFgANtBIEDQofAD8zxDIxMAEUBgYjIiY1NDYzMhYFIgYVFDMyNjU0AylhqHCGiNCtgYn%2B4UBXUD9UBKqA0WmWiMX0kxGzbm%2BremsAAAIAAABIBDcD9gAGAA0ARUAnDQYGAwcAAAoDAwQJAgIIAQEFDgsEBAwPBU8FbwWPBa8FzwXvBQcFAC9dMzMRMxESOS8zMxEzEjkRMzMRMxEzETMxMAEBJwEDNxMFAScBAzcTBDf%2Bb78BF4f2yv4Z%2Fm6%2BAReI9ssCF%2F4xmwFOAV5n%2FjMS%2FjGbAU4BXmf%2BM%2F%2F%2FAGEAAAZKBbYAJwDOAsUAAAAmAHrgAAEHANMDHf23AAmzAwISEgA%2FNTUA%2F%2F8AYQAABpwFtgAnAHMDcf23ACYAeuAAAQcAzgLFAAAAB7IAARIAPzUA%2F%2F8AhQAABocFyQAnAM4DSgAAACcA0wNa%2FbcBBgB0KQAACbMCAQcSAD81NQAAAv%2B8%2FnkDBAReABoAJgAmQBQAGhAaAgkDGhoPJCQeVFkkDwkPIgA%2FMz8rERIAORgvX15dMTABBwYGBwYGFRQzMjY3FwYjIiY1NDY2NzY2NzcBFAYjIiY1NDYzMhYCpg4Tc3B6RYUycZFc3eCxzjluhl1GEAgBYG9eRFFtWUlTAl5OaZZMU1Y3diBE3X2vnVKFc1k%2BWT4hAXNca0xGVmxK%2F%2F%2F%2FhQAABIsHcwImACQAAAEHAEIAHwFSAAizAhEFJgArNf%2F%2F%2F4UAAAUMB3MCJgAkAAABBwB1APwBUgAIswIYBSYAKzX%2F%2F%2F%2BFAAAE0wdzAiYAJAAAAQcAwABzAVIACLMCFgUmACs1%2F%2F%2F%2FhQAABQYHYAImACQAAAEHAMIAhQFSAAizAhkFJgArNf%2F%2F%2F4UAAAS9B1YCJgAkAAABBwBpAHcBUgAKtAMCIwUmACs1Nf%2F%2F%2F4UAAASLBwoCJgAkAAABBgDBNVgACbMDAiUDAD81NQAAAv%2BFAAAHbwW2AA8AEwBIQCcKDUxZDAoBDQMKCgEGEwNMWQoTChMBBgUSCRIGEkxZBgMBDkxZARIAPysAGD8rEQAzGD8REjk5Ly8rERIAORgvX15dKzEwISETIQMhASEHIQMhByEDIQETIwEGOfzPSv5W2%2F64A5oEUDb%2BAEMB3Tf%2BIk8CAP0af1D%2BlAFc%2FqQFtv7%2Bv%2F7%2BhwFgAlj9qP%2F%2FAHv%2BFAU3Bc0CJgAmAAAABwB5AjMAAP%2F%2FADUAAAScB3MCJgAoAAABBwBC%2F%2BQBUgAIswENBSYAKzX%2F%2FwA1AAAEnAdzAiYAKAAAAQcAdQB9AVIACLMBFAUmACs1%2F%2F8ANQAABJwHcwImACgAAAEHAMAAOQFSAAizARIFJgArNf%2F%2FADUAAAScB1YCJgAoAAABBwBpACkBUgAKtAIBHwUmACs1NQACACUAAAUrBbYADQAbAC1AFxoHCAdMWRcICAUKChZMWQoDBRtMWQUSAD8rABg%2FKxESADkYLzMrEQAzMTABEAIEIyETIzczEyEgAAEyNhI1NCYjIwMzByMDBSvE%2Fo38%2Fj19jTeLgwGMAQ4BJ%2FzblNx8kYhzS%2B037kcDjf7o%2FmPYAlT%2BAmT%2B4vxomAEnvpqh%2Fpr%2B%2Fqz%2F%2FwA1AAAGFAdgAiYAMAAAAQcAwgD4AVIACLMBGgUmACs1%2F%2F8Ae%2F%2FsBZgHcwImADEAAAEHAEIAdwFSAAizAh0FJgArNf%2F%2FAHv%2F7AWYB3MCJgAxAAABBwB1AQ4BUgAIswIkBSYAKzX%2F%2FwB7%2F%2BwFmAdzAiYAMQAAAQcAwAC8AVIACLMCIgUmACs1%2F%2F8Ae%2F%2FsBZgHYAImADEAAAEHAMIAzQFSAAizAiUFJgArNf%2F%2FAHv%2F7AWYB1YCJgAxAAABBwBpALwBUgAKtAMCLwUmACs1NQABAIEBDAQQBJoACwASQAovAF8AfwDfAAQAABkvXTEwAQE3AQEXAQEHAQEnAaz%2B1ZgBLQExmf7PAS2V%2Fs%2F%2B05YC0wEtmv7VASuW%2Fs%2F%2B0ZgBLf7VmAADAGT%2FqgWyBgQAFQAeACYAIEAQHCAjFg8WTVkPBAQjTFkEEwA%2FKwAYPysREgA5OTEwARACBCMiJwcnNyY1EBIkMzIXNxcHFiUiBgIVFBcBJhMnARYzMjYSBZjG%2FqjgtHxsmnlixgFc5LZ7aZd1W%2F3Ofs5yCAJURa4F%2FbM7XnzMcQOq%2FuX%2BQeRHiXOXitsBCQG97kyDdZGGWbf%2Bvr8gRQLyK%2F7RUP0cJbIBPQD%2F%2FwCN%2F%2BwFmgdzAiYANwAAAQcAQgBEAVIACLMBFgUmACs1%2F%2F8Ajf%2FsBZoHcwImADcAAAEHAHUBEgFSAAizAR0FJgArNf%2F%2FAI3%2F7AWaB3MCJgA3AAABBwDAAKQBUgAIswEbBSYAKzX%2F%2FwCN%2F%2BwFmgdWAiYANwAAAQcAaQCoAVIACrQCASgFJgArNTX%2F%2FwC6AAAFPwdzAiYAOwAAAQcAdQB7AVIACLMBEQUmACs1AAIANQAABHcFtgAMABQAH0ARBA1MWQkUTFkECQQJBgcDBhIAPz8SOTkvLysrMTABFAAhIwMhASEHMzIWATMyNjU0IyMEd%2F6r%2FthWPv7PATUBMjIj8vj9ZDeLp8NKAyfz%2FvH%2B2wW25dX%2BJ4V3tAAAAf78%2FhQFFAYfADoALEAYJgkaAxcpAClHWQAAEhdGWRIWMDVHWTAbAD8rABg%2FKwAYPysREgAXOTEwATIWFRQGBwYGFRQWFxYWFRQGIyInNRYzMjY1NCYnJiY1NDY3NjY1NCYjIgYHAwYGIyInNRYzMjcTNiQDTtD2YoFJLiw5a0v31rtugIJlXjVSXkZadUJNT1VgeBn%2BK9CtWkY9NoUl%2Fi8BDgYftJZynEoqNRwXNStTh1OqyD3wTkI1KEY%2BSHREVHpCJU45PklnePs9xrUZ8hWyBLfgzAD%2F%2FwBa%2F%2BwEngYhAiYAQwAAAQYAQr8AAAizAiIRJgArNf%2F%2FAFr%2F7ASeBiECJgBDAAABBgB1cwAACLMCKREmACs1%2F%2F8AWv%2FsBJ4GIAImAEMAAAEGAMAA%2FwAIswInESYAKzX%2F%2FwBa%2F%2BwEngYOAiYAQwAAAQYAwhIAAAizAioRJgArNf%2F%2FAFr%2F7ASeBgQCJgBDAAABBgBpAAAACrQDAjQRJgArNTX%2F%2FwBa%2F%2BwEngayAiYAQwAAAQYAwfUAAAq0AwIkESYAKzU1AAMAWv%2FsBscEcwAsADoAQwBUQDAUGAMGBAoRPiJLWQ8%2BAQwGPj4AGxYPGztKWRsQETRHWREQACdGWQAKCi1HWQoWBRUAPz8rEQAzKwAYPysAGD8rABg%2FERI5L19eXSsREgAXOTEwBSImJwcjNyMGBiMiJjU0EjYzMhYXMzczBzY2MzIWFRQEISMHFRQWMzI2NxUGJTI2NjU0JiMiBgYVFBYBIgYHMzI2NTQEtm2NLxC8DgZHl1ySo4npjmCBMgY5vBIsmVyds%2F6y%2Fss0Am9oQqxMs%2FyaSHxKQkVEeEZBA3FYnBgtm60UNjxekVhN2rvIAV%2FLTVePWjE%2Bp4q7yxMTYGcuKONW84jpf1Bgiul9VFwCu6BzYVNfAP%2F%2FAFr%2BFAPyBHMCJgBFAAAABwB5AYcAAP%2F%2FAFr%2F7ARCBiECJgBHAAABBgBCqwAACLMCIxEmACs1%2F%2F8AWv%2FsBEIGIQImAEcAAAEGAHUtAAAIswIqESYAKzX%2F%2FwBa%2F%2BwETQYhAiYARwAAAQYAwO0AAAizAigRJgArNf%2F%2FAFr%2F7ARCBgQCJgBHAAABBgBp4AAACrQDAjURJgArNTX%2F%2FwAlAAACQwYhAiYAvQAAAQcAQv6dAAAACLMBBREmACs1%2F%2F8AJQAAA1AGIQImAL0AAAEHAHX%2FQAAAAAizAQwRJgArNf%2F%2FACQAAANNBiECJgC9AAABBwDA%2Fu0AAAAIswEKESYAKzX%2F%2FwAlAAADNwYEAiYAvQAAAQcAaf7xAAAACrQCARcRJgArNTUAAgBI%2F%2BwEhQYnAB4ALAA3QB4eABwFCAcGHR0GGg8WFiZGWRYWDwIDBgEPH0ZZDxYAPysAGD%2FGMhE5LysREgA5EjkRFzkxMAEmJzcWFzcXBxYSFRQCBCMiJjU0EjYzMhYXMyYnBycTMjY2NTQmIyIGBhUUFgJqIlp2hmLtTMBRQIv%2B9L3Y4oHolVOJLgYUYedYbkJxQU1GSXI%2FTgUdIi66PU6DmGpr%2FwCX%2Bf6Rx9zOpQEQmD4%2F1WGDk%2Fwhb7pkTVtqtGtRWwD%2F%2FwAlAAAErAYOAiYAUAAAAQYAwisAAAizASARJgArNf%2F%2FAFr%2F7ARUBiECJgBRAAABBgBCpwAACLMCGxEmACs1%2F%2F8AWv%2FsBGgGIQImAFEAAAEGAHVYAAAIswIiESYAKzX%2F%2FwBa%2F%2BwEVQYhAiYAUQAAAQYAwPUAAAizAiARJgArNf%2F%2FAFr%2F7ASABg4CJgBRAAABBgDC%2FwAACLMCIxEmACs1%2F%2F8AWv%2FsBFQGBAImAFEAAAEGAGn1AAAKtAMCLREmACs1NQADAG0A3QQlBMcAAwAPABsAM0AkGZ8TARMNAAdQB2AHcAcEBwAPAR8BPwEDLwGfAb8B3wHvAQUBAC9dcTPEXTLEXTIxMBM1IRUFNDYzMhYVFAYjIiYRNDYzMhYVFAYjIiZtA7j9l0pCQklKQUFLSkJDSEpBQUsCZNvb70xLTklGUk4DBEtNUUdGUU4AAAMAK%2F%2BaBGYEkwAVAB0AJQAgQBAaIh4WDxZGWQ8QBB5GWQQWAD8rABg%2FKxESADk5MTABFAIEIyInByc3JjU0EiQzMhc3FwcWJSIGBhUVASYDMhI1NQEWFgRUjf72t3tmbY13SI8BDrWDYEaRVEL%2BQlF%2FRQFtI6xynv6aCzECuNP%2BurM1h2yUa5XVAU23OFhuaWs2fdZ%2BDAHFGP1QAQq5EP5ECA%2F%2F%2FwBv%2F%2BwEsgYhAiYAVwAAAQYAQqcAAAizARgRJgArNf%2F%2FAG%2F%2F7ASyBiECJgBXAAABBgB1fwAACLMBHxEmACs1%2F%2F8Ab%2F%2FsBLIGIQImAFcAAAEGAMAXAAAIswEdESYAKzX%2F%2FwBv%2F%2BwEsgYEAiYAVwAAAQYAaQ4AAAq0AgEqESYAKzU1%2F%2F%2F%2Fc%2F4UBJEGIQImAFsAAAEGAHUOAAAIswEfESYAKzUAAv%2B8%2FhQEaAYUABUAIwAnQBQKEwcADwAOGwAWR1kAEAcdR1kHFgA%2FKwAYPysAGD8%2FERI5OTEwATIWFRQCBiMiJyMGBwMhASEDBgczNhciBgYVFBYzMjY2NTQmAy2WpYriibJdCAwfSP7TAbMBLUIdMwiDFUd2SUNIRXhLSwRz1cPH%2FpS8o5%2BI%2FqwIAP7Ng5Wq9ILvf1Bggu2BWFj%2F%2F%2F9z%2FhQEkQYEAiYAWwAAAQYAaakAAAq0AgEqESYAKzU1AAEAJQAAAj8EXgADAAqzAg8BFQA%2FPzEwISETIQFS%2FtPtAS0EXgAAAgB7%2F%2BwHewXNABUAIQBCQCUQE0xZDBABDQMQEAEMARRMWQESDA9MWQwDChtMWQoEAxZMWQMTAD8rABg%2FKwAYPysAGD8rERIAORgvX15dKzEwISEGIyAAERASJDMyFyEHIQMhByEDIQUyNxMmIyIGAhUUFgZG%2FQhdV%2F8A%2FuHGAVzkjEUDKTX%2BAEQB3Tf%2BI1ACAPw1WEbCPmp5ynOFFAEnAQYBCQG97hf%2B%2Fr%2F%2B%2FocQIAOUJ7f%2BwLuTlgAAAwBa%2F%2BwG2wRzACMAMAA5AEtAKQ8DAA00GEtZDzQBDAY0NAANETFKWREQDSRHWQ0QBitHWQYWAB1GWQAWAD8rABg%2FKwAYPysAGD8rERIAORgvX15dKxESADk5MTAFIiYnBgYjIiY1NBIkMzIXNjMyFhUUBCEjBxUUFjMyNjcVBgYBIgYGFRQWMzISNTQmJSIGBzMyNjU0BK50uC4%2FqHu73YoBBrLRaJr1scb%2Bsv7LMwJmYFeOZV25%2FWhHcEVJSW2MSgKIWJsZLZusFE1ERE3qyNgBSbSgoKOOu8sVFFtpJjDjLigDkXnofltiAQ3KYGUdnXZhU18AAQE3BNkEYAYhAA4ADrQDC4AGAQAvMxrNMjEwASMmJwYHIzU2NjchFhYXBGDGP2Npf9k%2FtDQBUhZoMgTZNXNYUBk5tEI2sUgAAgIUBNcECgayAAsAFwATQAkPDwkfCQIJFQMALzPMXTIxMAEUBiMiJjU0NjMyFgc0JiMiBhUUFjMyNgQKjHJuiolvbpCdNyoqNjAwKjcFx2uFf29tgIJrLTMzLS00NAAAAQE7BNcEgQYOABUAIUAQEAAFCwALAAtvFH8UAhSACQAvGsxdOTkvLxEzETMxMAEiLgIjIgYHIxIzMh4CMzI2NzMCA2IxS0A7IR8xDrE73jFNQjofIjAWrEIE2SEnITgzATUhJyAzN%2F7LAAEAKQG0A64CmgADAAixAAEALzMxMBM3IQcpMQNUMQG05uYAAAEAKQG0B4UCmgADAAixAAEALzMxMBM3IQcpMQcrMQG05uYAAAEAcwPBAloFtgAGAAuzAIADAwA%2FGs0xMBMnNjczBgN7CGef4VtnA8EW4%2FzV%2FuAAAAEAagPBAlIFtgAGAAuzBIAGAwA%2FGs4xMAEXBgcjNhMCSghnn%2BJZagW2FuP8zgEnAAH%2Fmv74AYEA7gAGAAqyBIAAAC8azTEwJRcGByM2EwF5CGef4Vhq7hfj%2FM8BJwACAHMDwQQZBbYABgANAA%2B1AAeAAwoDAD8zGs0yMTABJzY3MwYDISc2NzMGAwI5CGef4mFi%2FSUIZ5%2FhW2cDwRbj%2FOP%2B7hbj%2FNX%2B4AAAAgBqA8EEEAW2AAYADgAPtQsEgA4GAwA%2FMxrOMjEwARcGByM2EyEXBgcjNjYTAkoIZ5%2FiWWoC2whnn%2BEXL30Fthbj%2FM4BJxbj%2FDV0AUwAAv%2Ba%2FvgDQgDuAAYADgAOtAsEgA4AAC8yGs0yMTAlFwYHIzYTIRcGAyM2NhMBeQhnn%2BFYagLdCWSj4Rgyee4X4%2FzPAScX3f7%2BOXsBQgAAAQBoAa4CtgQpAAwAEUAJCj8EfwSfBAMEAC9dzTEwEzQ2NjMyFhUUBiMiJmhVm2l4fbeddYUCrmqwYYZ8sciGAAEASABaApgECAAGABlADAQwBQEFBQcCIAEBAQAvXTMSOS9dMzEwEwEXARMHA0gBkb%2F%2B6Yf2ygI5Ac%2Bb%2FrL%2BomcBzQAAAQAAAEgCUAP2AAYALUAbBgADAwQCAgEBBwQPBU8FbwWPBa8FzwXvBQcFAC9dMxI5LzMREjkRMzMxMAEBJwEDNxMCUP5uvgEXiPbLAhf%2BMZsBTgFeZ%2F4zAAH97AAAAxcFtgADAAqzAwMCEgA%2FPzEwAQEjAQMX%2B8TvBD8FtvpKBbYAAAEAKf%2FsBN0FzQAmAEpAKAYbHBtSWQMPHB8cAgkDHBdACxYXFlJZCBcXEyAgAE9ZIAcTDk5ZExkAPysAGD8rERIAORgvMysRADMaGBDMX15dMisRADMxMAEiBgchByEGByEHIRQWMzI3EQYjIBEjNzM2NyM3MzYAMzIWFwcmJgODYZ44AVwn%2FpgLDgErJf7oWWeFln7M%2FkKYJX8JDX0nh1cBR9NknlZ9V1gE1ZWKsCJRsnh7P%2F7%2BPwH1skMwsPwBGy453zEdAAEAbQJkBCUDPwADAB1AFAAPAR8BPwEDLwGfAb8B3wHvAQUBAC9dcTMxMBM1IRVtA7gCZNvb%2F%2F%2F%2FJf4UBXQGHwAmAEgAAAAHAEsC5wAA%2F%2F%2F%2FJf4UBYMGHwAmAEgAAAAHAE4C5wAAAAIALwJKAy0FvAAKABAAIUARAQUFCQ8QHxACEBAHAyANBx4APzM%2FEjkvXTMzETMxMAEjByM3ITcBIQMzITc3BgYHAwh3IO4h%2FosfAdsBBHl3%2Fpw6Fg08tQLhl5euAi39zedKFEzRAAP%2FJf4UCC0GHwA4ADwARwBGQCdARklZQAA6FSMVEBVHWR4QAAkqNhk2Rlk7JwwDGQ8yBQAFR1ktABsAPzIrEQAzGD8XMysRADMzGD8zKxEAMxg%2FPysxMAMiJzUWMzI2NxMjPwI2NjMyFwcmIyIGBwchNzY2MzIXByYjIgYHBzMHIwMCISInNRYzMjcTIQMCASETIQM0NjMyFhUUBiMiLWhGPTY9XBPMox63EinDsINoUEVAOUYMDAGLEinDsINoT0VBOUUNDNsx29dN%2FrloRj02iCTN%2FnTXTQXZ%2FtPtAS3%2BYFdJTFhcmP4UGfIVUFoDxZFUVL6vMeAfUEE%2BVL6vMeAfUEE%2B5fwO%2Fo0Z8hWqA8X8Dv6NAewEXgEGV1k%2BOlBjAAL%2FJf4UCDsGHwA4ADwAP0AhOwA6FSMVEBVHWR4QAAkqNhk2RlkMJxkPMgUABUdZLQAbAD8yKxEAMxg%2FMzMrEQAzMxg%2FMysRADMYPz8xMAMiJzUWMzI2NxMjPwI2NjMyFwcmIyIGBwchNzY2MzIXByYjIgYHBzMHIwMCISInNRYzMjcTIQMCASEBIS1oRj02PVwTzKMetxIpw7CDaFBFQDlGDAwBixIpw7CDaE9FQTlFDQzbMdvXTf65aEY9Nogkzf50100F2f7TAUkBLf4UGfIVUFoDxZFUVL6vMeAfUEE%2BVL6vMeAfUEE%2B5fwO%2Fo0Z8hWqA8X8Dv6NAewGFAAAAf8l%2FhQGkwYfADgAOEAdIxUQFUdZHhAACSo2GTZGWQwnGQ8yBQAFR1ktABsAPzIrEQAzGD8zMysRADMzGD8zKxEAMzEwAyInNRYzMjY3EyM%2FAjY2MzIXByYjIgYHByE3NjYzMhcHJiMiBgcHMwcjAwIhIic1FjMyNxMhAwItaEY9Nj1cE8yjHrcSKcOwg2hQRUA5RgwMAYsSKcOwg2hPRUE5RQ0M2zHb103%2BuWhGPTaIJM3%2BdNdN%2FhQZ8hVQWgPFkVRUvq8x4B9QQT5Uvq8x4B9QQT7l%2FA7%2BjRnyFaoDxfwO%2Fo0AAQA1AAACngW2AAMACrMBAwASAD8%2FMTAzASEBNQE4ATH%2ByAW2%2BkoA%2F%2F8ANQAAAp4HcwImANcAAAEHAEL%2B9QFSAAizAQUFJgArNf%2F%2FADUAAAPLB3MCJgDXAAABBwB1%2F7sBUgAIswEMBSYAKzX%2F%2FwA1AAADqQdzAiYA1wAAAQcAwP9JAVIACLMBCgUmACs1%2F%2F8ANQAAA5cHVgImANcAAAEHAGn%2FUQFSAAq0AgEXBSYAKzU1AAAAAQAAANwAigAWAFcABQACABAALwBcAAABBwCcAAMAAQAAABsAGwAbABsASwBoAL4BKQGUAfwCDwIxAlECeQKkArsCzQLpAv4DOANZA5UD6wQnBGoEvQTZBS8FhAW2BeMGAwYkBkYGlQcXB0oHmAfRCAYIOAheCKUI0Aj1CSYJQQl5CagJ5woaCmMKoQroCwgLOgtiC6kL1Av5DCQMQAxUDG8MigyeDLgM%2Fg1KDX8NzA4ZDmAO1g8QDzcPbA%2BdD7AQABA0EGsQtREDESwRcRGtEeISBxJMEncSrRLXEyETMxN9E7kTuRPoFC8UdxTMFRQVMBWMFbUWMRZqFq0WzBbUF00XaBefF8oYABhKGGQYpBjLGNQZABkhGU0ZlBmqGb8Z1RolGjYaRxpYGmkaexqMGtsa5xr4GwkbGhssG3YbhxuYG6kbuhvLG90cBxxdHG4cfxyQHKIcsxzqHVYdZh12HYYdlh2nHbgeRB5QHmAecB6AHpEeoh6zHsQe1h85H0kfWR9pH3kfiR%2BaH%2BAgMiBCIFIgYiBzIIMg0SDiIPUhUiHNIfEiISJWImgieiKSIqoiwSLnIw4jNSNVI3cjoyO4JBskNiRCJE4kgSURJZAmAiYWJicmOCZJJlsAAAABAAAAARmaoYzqXl8PPPUACQgAAAAAAMljSR4AAAAAyehK0Pvl%2FagKWAiNAAMACQACAAAAAAAABM0AwQAAAAAEFAAAAhQAAAJKABkDoADJBSsAKQRoADMG2QBzBaoARAIKAMkCtgBKArb%2FbQRcAKwEaABtAjn%2FmgKTACkCSAAZA17%2FpgRoAEIEaAC2BGj%2FzwRoAA4EaP%2FnBGgAGwRoAFgEaABOBGgANwRoAFYCSAAZAkj%2FmgRoAG0EaABtBGgAbQOsAKYG2QBcBQb%2FhQT2ADUE5QB7BWoANQRWADUEPwA1BYUAewWaADUCpv6%2BBOcANQQlADUHCgA1BgoANQXXAHsEpAA1BdcAewTfADUEPQApBD8AqAWHAI0EuAC4BycAuATZ%2F4sEgwC6BEr%2FwwKm%2F9sDXgDdAqb%2FdwQ5ABQDM%2F9GBG8B%2FATBAFoEwwAlA90AWgTBAFoEdQBaAvz%2FJQRU%2F40E1QAlAmAAJQJg%2FvgEiwAlAmAAJQc9ACUE1QAlBK4AWgTD%2F7wEwQBaA14AJQPJABcDSABeBNUAbwQZAGYGTgB9BD%2F%2FnAQn%2F3MDpP%2FRAtf%2F%2BARoAccC1%2F%2BcBGgAbQIUAAACSv%2B2BGgApARo%2F%2FQEaABzBGgAWARoAccD4wAUBG8BjQaoAH0DBACYBH8ASARoAG0CkwApBqgAfQQA%2F%2FoDbQCkBGgAbQMIADsDCABcBG8B4wTh%2F7wFPQCTAkgAgwGk%2FzEDCACBAvIAogR%2FAAAHDABhBwwAYQcMAIUDrP%2B8BQb%2FhQUG%2F4UFBv%2BFBQb%2FhQUG%2F4UFBv%2BFByn%2FhQTlAHsEVgA1BFYANQRWADUEVgA1BWoAJQYKADUF1wB7BdcAewXXAHsF1wB7BdcAewRoAIEF1wBkBYcAjQWHAI0FhwCNBYcAjQSDALoEpAA1BUb%2B%2FATBAFoEwQBaBMEAWgTBAFoEwQBaBMEAWgb6AFoD3QBaBHUAWgR1AFoEdQBaBHUAWgJgACUCYAAlAmAAJAJgACUEngBIBNUAJQSuAFoErgBaBK4AWgSuAFoErgBaBGgAbQSuACsE1QBvBNUAbwTVAG8E1QBvBCf%2FcwTD%2F7wEJ%2F9zAmAAJQc1AHsHDgBaBG8BNwSeAhQEbwE7A9cAKQeuACkBuABzAbgAagI5%2F5oDdwBzA3cAagP6%2F5oC4wBoApgASAKYAAABAP3sBGgAKQRoAG0FSP8lBUj%2FJQMIAC8IAP8lCAD%2FJQW0%2FyUCkwA1ADUANQA1ADUAAQAACI39qAAACe775f3pClgIAAGzAAAAAAAAAAAAAAAAANgAAwTDArwABQAIBZoFMwAAAR8FmgUzAAAD0QBmAgAAAAILCAYDBQQCAgTgAALvQAAgWwAAACgAAAAAMUFTQwAhACD%2F%2FQYf%2FhQAhAiNAlggAAGfAAAAAAReBbYAAAAgAAMAAAABAAMAAQAAAAwABAC4AAAAKgAgAAQACgBIAEkAfgDLAM8A%2FwExAVMCxgLaAtwgFCAaIB4gIiA6IEQgdCCsIhL%2F%2FwAAACAASQBKAKAAzADQATEBUgLGAtoC3CATIBggHCAiIDkgRCB0IKwiEv%2F%2F%2F%2BMAjv%2Fi%2F8EADP%2B9%2F4z%2FbP36%2Fef95uCw4K3grOCp4JPgiuBf4CPevgABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQEdbWllYVVRTUlFQT05NTEtKSUhHRkVEQ0JBQD8%2BPTw7Ojk4NzY1MTAvLi0sKCcmJSQjIiEfGBQREA8ODQsKCQgHBgUEAwIBACwgsAFgRbADJSARRmEjRSNhSC0sIEUYaEQtLEUjRmCwIGEgsEZgsAQmI0hILSxFI0YjYbAgYCCwJmGwIGGwBCYjSEgtLEUjRmCwQGEgsGZgsAQmI0hILSxFI0YjYbBAYCCwJmGwQGGwBCYjSEgtLAEQIDwAPC0sIEUjILDNRCMguAFaUVgjILCNRCNZILDtUVgjILBNRCNZILAEJlFYIyCwDUQjWSEhLSwgIEUYaEQgsAFgIEWwRnZoikVgRC0sAbELCkMjQ2UKLSwAsQoLQyNDCy0sALAoI3CxASg%2BAbAoI3CxAihFOrECAAgNLSwgRbADJUVhZLBQUVhFRBshIVktLEmwDiNELSwgRbAAQ2BELSwBsAZDsAdDZQotLCBpsEBhsACLILEswIqMuBAAYmArDGQjZGFcWLADYVktLIoDRYqKh7ARK7ApI0SwKXrkGC0sRWWwLCNERbArI0QtLEtSWEVEGyEhWS0sS1FYRUQbISFZLSwBsAUlECMgivUAsAFgI%2B3sLSwBsAUlECMgivUAsAFhI%2B3sLSwBsAYlEPUA7ewtLLACQ7ABUlghISEhIRtGI0ZgiopGIyBGimCKYbj%2FgGIjIBAjirEMDIpwRWAgsABQWLABYbj%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%2FgGIjIBAjirEMDIpwRWAgsABQWLABYbj%2FgIsbsIGMWWg6LSxLI1FYuQAz%2F%2BCxNCAbszMANABZREQtLLAWQ1iwAyZFilhkZrAfYBtksCBgZiBYGyGwQFmwAWFZI1hlWbApI0QjELAp4BshISEhIVktLLACQ1RYS1MjS1FaWDgbISFZGyEhISFZLSywFkNYsAQlRWSwIGBmIFgbIbBAWbABYSNYG2VZsCkjRLAFJbAIJQggWAIbA1mwBCUQsAUlIEawBCUjQjywBCWwByUIsAclELAGJSBGsAQlsAFgI0I8IFgBGwBZsAQlELAFJbAp4LApIEVlRLAHJRCwBiWwKeCwBSWwCCUIIFgCGwNZsAUlsAMlQ0iwBCWwByUIsAYlsAMlsAFgQ0gbIVkhISEhISEhLSwCsAQlICBGsAQlI0KwBSUIsAMlRUghISEhLSwCsAMlILAEJQiwAiVDSCEhIS0sRSMgRRggsABQIFgjZSNZI2ggsEBQWCGwQFkjWGVZimBELSxLUyNLUVpYIEWKYEQbISFZLSxLVFggRYpgRBshIVktLEtTI0tRWlg4GyEhWS0ssAAhS1RYOBshIVktLLACQ1RYsEYrGyEhISFZLSywAkNUWLBHKxshISFZLSywAkNUWLBIKxshISEhWS0ssAJDVFiwSSsbISEhWS0sIIoII0tTiktRWlgjOBshIVktLACwAiVJsABTWCCwQDgRGyFZLSwBRiNGYCNGYSMgECBGimG4%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%2BsQECBgywCiNlQrALI0IBsAEjPwCwAiM%2FsQECBgywBiNlQrAHI0KwARYBLSywgLACQ1CwAbACQ1RbWCEjELAgGskbihDtWS0ssFkrLSyKEOUtQJIJIUggVSABA1UfSANVHgP%2FH1BMFh9PTWQfTkxkHyY0EFUlMyRVGRP%2FHwcE%2Fx8GA%2F8fTUweH2RMAUxGDR8TMxJVBQEDVQQzA1UfAwEPAz8DrwMDBktGy0bbRgMjMyJVTyIBHDMbVRYzFVURAQ9VEDMPVa8Pzw8CMA8BAgEAVQEzAFVvAH8ArwDvAAQQAAGAFgEFAbgBkLFUUysrS7gH%2F1JLsAlQW7ABiLAlU7ABiLBAUVqwBoiwAFVaW1ixAQGOWYWNjQBCHUuwMlNYsCAdWUuwZFNYsBAdsRYAQllzcysrc3MrKysrcytzXnN0KysrK3QrKysrKysrKysrKysrGF4AAAAGFAAXAE4FtgAXAHUFtgXNAAAAAAAAAAAAAAAAAAAEXgAVAHsAAP%2FsAAAAAP%2FsAAAAAP%2FsAAD%2BFP%2FsAAAFtgAV%2FJT%2F6%2F5v%2F%2Bf%2Bv%2F%2FpABz%2BvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAAAAADlAPYBAAErANMAxwECAPYBAgD2AO0A3wCyAAABVP5WAAAAAQAAHowAAQUVGAAACgZ%2BAAUAJP9xAAUANgApAAUAOAApAAUAOQApAAUAOwAUAAUAQ%2F%2BuAAUARf%2BFAAUARv%2BFAAUAR%2F%2BFAAUASf%2FDAAUAT%2F%2FDAAUAUP%2FDAAUAUf%2BFAAUAUv%2FDAAUAU%2F%2BFAAUAVP%2FDAAUAVf%2FDAAUAV%2F%2FDAAUAgf9xAAUAgv9xAAUAg%2F9xAAUAhP9xAAUAhf9xAAUAhv9xAAUAmgAUAAUAnf%2BFAAUAnv%2BuAAUAn%2F%2BuAAUAoP%2BuAAUAof%2BuAAUAov%2BuAAUAo%2F%2BuAAUApP%2BFAAUApf%2BFAAUApv%2BFAAUAp%2F%2BFAAUAqP%2BFAAUAr%2F%2BFAAUAsP%2BFAAUAsf%2BFAAUAsv%2BFAAUAs%2F%2BFAAUAtf%2BFAAUAtv%2FDAAUAt%2F%2FDAAUAuP%2FDAAUAuf%2FDAAUAv%2F%2BFAAoAJP9xAAoANgApAAoAOAApAAoAOQApAAoAOwAUAAoAQ%2F%2BuAAoARf%2BFAAoARv%2BFAAoAR%2F%2BFAAoASf%2FDAAoAT%2F%2FDAAoAUP%2FDAAoAUf%2BFAAoAUv%2FDAAoAU%2F%2BFAAoAVP%2FDAAoAVf%2FDAAoAV%2F%2FDAAoAgf9xAAoAgv9xAAoAg%2F9xAAoAhP9xAAoAhf9xAAoAhv9xAAoAmgAUAAoAnf%2BFAAoAnv%2BuAAoAn%2F%2BuAAoAoP%2BuAAoAof%2BuAAoAov%2BuAAoAo%2F%2BuAAoApP%2BFAAoApf%2BFAAoApv%2BFAAoAp%2F%2BFAAoAqP%2BFAAoAr%2F%2BFAAoAsP%2BFAAoAsf%2BFAAoAsv%2BFAAoAs%2F%2BFAAoAtf%2BFAAoAtv%2FDAAoAt%2F%2FDAAoAuP%2FDAAoAuf%2FDAAoAv%2F%2BFAAsALAC4AA8AJv%2BaAA8AKv%2BaAA8AMf%2BaAA8AM%2F%2BaAA8ANv9xAA8AN%2F%2FXAA8AOP%2BFAA8AOf%2BFAA8AO%2F%2BFAA8AiP%2BaAA8Aj%2F%2BaAA8AkP%2BaAA8Akf%2BaAA8Akv%2BaAA8Ak%2F%2BaAA8Alf%2BaAA8Alv%2FXAA8Al%2F%2FXAA8AmP%2FXAA8Amf%2FXAA8Amv%2BFAA8Avv%2BaABAANv%2BuABEAJv%2BaABEAKv%2BaABEAMf%2BaABEAM%2F%2BaABEANv9xABEAN%2F%2FXABEAOP%2BFABEAOf%2BFABEAO%2F%2BFABEAiP%2BaABEAj%2F%2BaABEAkP%2BaABEAkf%2BaABEAkv%2BaABEAk%2F%2BaABEAlf%2BaABEAlv%2FXABEAl%2F%2FXABEAmP%2FXABEAmf%2FXABEAmv%2BFABEAvv%2BaACQABf9xACQACv9xACQAJv%2FXACQAKv%2FXACQALAEKACQAMf%2FXACQAM%2F%2FXACQANv9xACQAOP%2BuACQAOf%2BuACQAO%2F%2BFACQAiP%2FXACQAj%2F%2FXACQAkP%2FXACQAkf%2FXACQAkv%2FXACQAk%2F%2FXACQAlf%2FXACQAmv%2BFACQAvv%2FXACQAxv9xACQAyf9xACUAD%2F%2BuACUAEf%2BuACUAJP%2FXACUANv%2FDACUAOP%2FsACUAOf%2FsACUAOv%2FXACUAO%2F%2FsACUAPP%2FsACUAgf%2FXACUAgv%2FXACUAg%2F%2FXACUAhP%2FXACUAhf%2FXACUAhv%2FXACUAmv%2FsACUAx%2F%2BuACUAyv%2BuACYAJv%2FXACYAKv%2FXACYAMf%2FXACYAM%2F%2FXACYAiP%2FXACYAj%2F%2FXACYAkP%2FXACYAkf%2FXACYAkv%2FXACYAk%2F%2FXACYAlf%2FXACYAvv%2FXACcAD%2F%2BuACcAEf%2BuACcAJP%2FXACcANv%2FDACcAOP%2FsACcAOf%2FsACcAOv%2FXACcAO%2F%2FsACcAPP%2FsACcAgf%2FXACcAgv%2FXACcAg%2F%2FXACcAhP%2FXACcAhf%2FXACcAhv%2FXACcAmv%2FsACcAx%2F%2BuACcAyv%2BuACgALAB7ACkAD%2F%2BFACkAEf%2BFACkAIgApACkAJP%2FXACkAgf%2FXACkAgv%2FXACkAg%2F%2FXACkAhP%2FXACkAhf%2FXACkAhv%2FXACkAx%2F%2BFACkAyv%2BFAC0AJv%2FXAC0AKv%2FXAC0AMf%2FXAC0AM%2F%2FXAC0AiP%2FXAC0Aj%2F%2FXAC0AkP%2FXAC0Akf%2FXAC0Akv%2FXAC0Ak%2F%2FXAC0Alf%2FXAC0Avv%2FXAC4ABf9cAC4ACv9cAC4AJv%2FXAC4AKv%2FXAC4AMf%2FXAC4AM%2F%2FXAC4ANv%2FXAC4AN%2F%2FsAC4AOP%2FXAC4AOf%2FXAC4AO%2F%2FDAC4AiP%2FXAC4Aj%2F%2FXAC4AkP%2FXAC4Akf%2FXAC4Akv%2FXAC4Ak%2F%2FXAC4Alf%2FXAC4Alv%2FsAC4Al%2F%2FsAC4AmP%2FsAC4Amf%2FsAC4Amv%2FDAC4Avv%2FXAC4Axv9cAC4Ayf9cADEAD%2F%2BuADEAEf%2BuADEAJP%2FXADEANv%2FDADEAOP%2FsADEAOf%2FsADEAOv%2FXADEAO%2F%2FsADEAPP%2FsADEAgf%2FXADEAgv%2FXADEAg%2F%2FXADEAhP%2FXADEAhf%2FXADEAhv%2FXADEAmv%2FsADEAx%2F%2BuADEAyv%2BuADIAD%2F72ADIAEf72ADIAJP%2BaADIAOv%2FXADIAPP%2FsADIAgf%2BaADIAgv%2BaADIAg%2F%2BaADIAhP%2BaADIAhf%2BaADIAhv%2BaADIAx%2F72ADIAyv72ADMAD%2F%2BuADMAEf%2BuADMAJP%2FXADMANv%2FDADMAOP%2FsADMAOf%2FsADMAOv%2FXADMAO%2F%2FsADMAPP%2FsADMAgf%2FXADMAgv%2FXADMAg%2F%2FXADMAhP%2FXADMAhf%2FXADMAhv%2FXADMAmv%2FsADMAx%2F%2BuADMAyv%2BuADYAD%2F%2BFADYAEP%2BuADYAEf%2BFADYAIgApADYAJP9xADYAJv%2FXADYAKv%2FXADYAMf%2FXADYAM%2F%2FXADYANgApADYAQ%2F9cADYARf9xADYARv9xADYAR%2F9xADYASf9xADYAT%2F%2BaADYAUP%2BaADYAUf9xADYAUv%2BaADYAU%2F9xADYAVP%2BaADYAVf%2BFADYAV%2F%2BaADYAWP%2FXADYAWf%2FXADYAWv%2FXADYAW%2F%2FXADYAXP%2BuADYAgf9xADYAgv9xADYAg%2F9xADYAhP9xADYAhf9xADYAhv9xADYAiP%2FXADYAj%2F%2FXADYAkP%2FXADYAkf%2FXADYAkv%2FXADYAk%2F%2FXADYAlf%2FXADYAnf9xADYAnv9cADYAn%2F9cADYAoP9cADYAof9cADYAov9cADYAo%2F9cADYApP9xADYApf9xADYApv9xADYAp%2F9xADYAqP9xADYAr%2F9xADYAsP9xADYAsf9xADYAsv9xADYAs%2F9xADYAtf9xADYAtv%2BaADYAt%2F%2BaADYAuP%2BaADYAuf%2BaADYAuv%2FXADYAvv%2FXADYAv%2F9xADYAw%2F%2BuADYAxP%2BuADYAx%2F%2BFADYAyv%2BFADcAD%2F%2FXADcAEf%2FXADcAJP%2FsADcAgf%2FsADcAgv%2FsADcAg%2F%2FsADcAhP%2FsADcAhf%2FsADcAhv%2FsADcAx%2F%2FXADcAyv%2FXADgAD%2F%2BaADgAEf%2BaADgAIgApADgAJP%2BuADgAJv%2FsADgAKv%2FsADgAMf%2FsADgAM%2F%2FsADgAQ%2F%2FXADgARf%2FXADgARv%2FXADgAR%2F%2FXADgASf%2FsADgAT%2F%2FsADgAUP%2FsADgAUf%2FXADgAUv%2FsADgAU%2F%2FXADgAVP%2FsADgAVf%2FsADgAV%2F%2FsADgAgf%2BuADgAgv%2BuADgAg%2F%2BuADgAhP%2BuADgAhf%2BuADgAhv%2BuADgAiP%2FsADgAj%2F%2FsADgAkP%2FsADgAkf%2FsADgAkv%2FsADgAk%2F%2FsADgAlf%2FsADgAnf%2FXADgAnv%2FXADgAn%2F%2FXADgAoP%2FXADgAof%2FXADgAov%2FXADgAo%2F%2FXADgApP%2FXADgApf%2FXADgApv%2FXADgAp%2F%2FXADgAqP%2FXADgAr%2F%2FXADgAsP%2FXADgAsf%2FXADgAsv%2FXADgAs%2F%2FXADgAtf%2FXADgAtv%2FsADgAt%2F%2FsADgAuP%2FsADgAuf%2FsADgAvv%2FsADgAv%2F%2FXADgAx%2F%2BaADgAyv%2BaADkAD%2F%2BaADkAEf%2BaADkAIgApADkAJP%2BuADkAJv%2FsADkAKv%2FsADkAMf%2FsADkAM%2F%2FsADkAQ%2F%2FXADkARf%2FXADkARv%2FXADkAR%2F%2FXADkASf%2FsADkAT%2F%2FsADkAUP%2FsADkAUf%2FXADkAUv%2FsADkAU%2F%2FXADkAVP%2FsADkAVf%2FsADkAV%2F%2FsADkAgf%2BuADkAgv%2BuADkAg%2F%2BuADkAhP%2BuADkAhf%2BuADkAhv%2BuADkAiP%2FsADkAj%2F%2FsADkAkP%2FsADkAkf%2FsADkAkv%2FsADkAk%2F%2FsADkAlf%2FsADkAnf%2FXADkAnv%2FXADkAn%2F%2FXADkAoP%2FXADkAof%2FXADkAov%2FXADkAo%2F%2FXADkApP%2FXADkApf%2FXADkApv%2FXADkAp%2F%2FXADkAqP%2FXADkAr%2F%2FXADkAsP%2FXADkAsf%2FXADkAsv%2FXADkAs%2F%2FXADkAtf%2FXADkAtv%2FsADkAt%2F%2FsADkAuP%2FsADkAuf%2FsADkAvv%2FsADkAv%2F%2FXADkAx%2F%2BaADkAyv%2BaADoAJv%2FXADoAKv%2FXADoAMf%2FXADoAM%2F%2FXADoAiP%2FXADoAj%2F%2FXADoAkP%2FXADoAkf%2FXADoAkv%2FXADoAk%2F%2FXADoAlf%2FXADoAvv%2FXADsAD%2F%2BFADsAEf%2BFADsAIgApADsAJP%2BFADsAJv%2FXADsAKv%2FXADsAMf%2FXADsAM%2F%2FXADsAQ%2F%2BaADsARf%2BaADsARv%2BaADsAR%2F%2BaADsASf%2FXADsAT%2F%2FDADsAUP%2FDADsAUf%2BaADsAUv%2FDADsAU%2F%2BaADsAVP%2FDADsAVf%2BuADsAV%2F%2FDADsAXP%2FXADsAgf%2BFADsAgv%2BFADsAg%2F%2BFADsAhP%2BFADsAhf%2BFADsAhv%2BFADsAiP%2FXADsAj%2F%2FXADsAkP%2FXADsAkf%2FXADsAkv%2FXADsAk%2F%2FXADsAlf%2FXADsAnf%2BaADsAnv%2BaADsAn%2F%2BaADsAoP%2BaADsAof%2BaADsAov%2BaADsAo%2F%2BaADsApP%2BaADsApf%2BaADsApv%2BaADsAp%2F%2BaADsAqP%2BaADsAr%2F%2BaADsAsP%2BaADsAsf%2BaADsAsv%2BaADsAs%2F%2BaADsAtf%2BaADsAtv%2FDADsAt%2F%2FDADsAuP%2FDADsAuf%2FDADsAvv%2FXADsAv%2F%2BaADsAx%2F%2BFADsAyv%2BFADwAJv%2FsADwAKv%2FsADwAMf%2FsADwAM%2F%2FsADwAiP%2FsADwAj%2F%2FsADwAkP%2FsADwAkf%2FsADwAkv%2FsADwAk%2F%2FsADwAlf%2FsADwAvv%2FsAD0ALAC4AEMABf%2FsAEMACv%2FsAEMAxv%2FsAEMAyf%2FsAEQABf%2FsAEQACv%2FsAEQAWP%2FXAEQAWf%2FXAEQAWv%2FXAEQAW%2F%2FXAEQAXP%2FsAEQAuv%2FXAEQAxv%2FsAEQAyf%2FsAEUABQApAEUACgApAEUAxgApAEUAyQApAEcABf%2FsAEcACv%2FsAEcAWP%2FXAEcAWf%2FXAEcAWv%2FXAEcAW%2F%2FXAEcAXP%2FsAEcAuv%2FXAEcAxv%2FsAEcAyf%2FsAEgABQB7AEgACgB7AEgAxgB7AEgAyQB7AEoABf%2FsAEoACv%2FsAEoAxv%2FsAEoAyf%2FsAE0ARf%2FXAE0ARv%2FXAE0AR%2F%2FXAE0AUf%2FXAE0AU%2F%2FXAE0Anf%2FXAE0ApP%2FXAE0Apf%2FXAE0Apv%2FXAE0Ap%2F%2FXAE0AqP%2FXAE0Ar%2F%2FXAE0AsP%2FXAE0Asf%2FXAE0Asv%2FXAE0As%2F%2FXAE0Atf%2FXAE0Av%2F%2FXAE8ABf%2FsAE8ACv%2FsAE8Axv%2FsAE8Ayf%2FsAFAABf%2FsAFAACv%2FsAFAAxv%2FsAFAAyf%2FsAFEABf%2FsAFEACv%2FsAFEAWP%2FXAFEAWf%2FXAFEAWv%2FXAFEAW%2F%2FXAFEAXP%2FsAFEAuv%2FXAFEAxv%2FsAFEAyf%2FsAFIABf%2FsAFIACv%2FsAFIAWP%2FXAFIAWf%2FXAFIAWv%2FXAFIAW%2F%2FXAFIAXP%2FsAFIAuv%2FXAFIAxv%2FsAFIAyf%2FsAFQABQBSAFQACgBSAFQAQ%2F%2FXAFQARf%2FXAFQARv%2FXAFQAR%2F%2FXAFQASf%2FsAFQAUf%2FXAFQAU%2F%2FXAFQAnf%2FXAFQAnv%2FXAFQAn%2F%2FXAFQAoP%2FXAFQAof%2FXAFQAov%2FXAFQAo%2F%2FXAFQApP%2FXAFQApf%2FXAFQApv%2FXAFQAp%2F%2FXAFQAqP%2FXAFQAr%2F%2FXAFQAsP%2FXAFQAsf%2FXAFQAsv%2FXAFQAs%2F%2FXAFQAtf%2FXAFQAv%2F%2FXAFQAxgBSAFQAyQBSAFYABQApAFYACgApAFYAxgApAFYAyQApAFgABQBSAFgACgBSAFgAD%2F%2BuAFgAEf%2BuAFgAIgApAFgAxgBSAFgAx%2F%2BuAFgAyQBSAFgAyv%2BuAFkABQBSAFkACgBSAFkAD%2F%2BuAFkAEf%2BuAFkAIgApAFkAxgBSAFkAx%2F%2BuAFkAyQBSAFkAyv%2BuAFoARf%2FXAFoARv%2FXAFoAR%2F%2FXAFoAUf%2FXAFoAU%2F%2FXAFoAnf%2FXAFoApP%2FXAFoApf%2FXAFoApv%2FXAFoAp%2F%2FXAFoAqP%2FXAFoAr%2F%2FXAFoAsP%2FXAFoAsf%2FXAFoAsv%2FXAFoAs%2F%2FXAFoAtf%2FXAFoAv%2F%2FXAFsABQBSAFsACgBSAFsAD%2F%2BuAFsAEf%2BuAFsAIgApAFsAxgBSAFsAx%2F%2BuAFsAyQBSAFsAyv%2BuAF0ALAC4AIEABf9xAIEACv9xAIEAJv%2FXAIEAKv%2FXAIEALAEKAIEAMf%2FXAIEAM%2F%2FXAIEANv9xAIEAOP%2BuAIEAOf%2BuAIEAO%2F%2BFAIEAiP%2FXAIEAj%2F%2FXAIEAkP%2FXAIEAkf%2FXAIEAkv%2FXAIEAk%2F%2FXAIEAlf%2FXAIEAmv%2BFAIEAvv%2FXAIEAxv9xAIEAyf9xAIIABf9xAIIACv9xAIIAJv%2FXAIIAKv%2FXAIIALAEKAIIAMf%2FXAIIAM%2F%2FXAIIANv9xAIIAOP%2BuAIIAOf%2BuAIIAO%2F%2BFAIIAiP%2FXAIIAj%2F%2FXAIIAkP%2FXAIIAkf%2FXAIIAkv%2FXAIIAk%2F%2FXAIIAlf%2FXAIIAmv%2BFAIIAvv%2FXAIIAxv9xAIIAyf9xAIMABf9xAIMACv9xAIMAJv%2FXAIMAKv%2FXAIMALAEKAIMAMf%2FXAIMAM%2F%2FXAIMANv9xAIMAOP%2BuAIMAOf%2BuAIMAO%2F%2BFAIMAiP%2FXAIMAj%2F%2FXAIMAkP%2FXAIMAkf%2FXAIMAkv%2FXAIMAk%2F%2FXAIMAlf%2FXAIMAmv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7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%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%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%2FEk6BT4cTXTI0NiAfj5P%2BoIETYlShDj%2F69II6RvwEfJpAW5szBZvWqdgkdGz2eaXmUB2Xfd5gc%2BxjRgcYGEaH6J8nHBXqXKlo5tdEDCjkFH4qKibA7oO5NBX24FTYm8Zhl%2F3jsEs%2Bvc%2FFcWE3iJ5uclyIdSk7EVT14V14eNeuqTwjU645dRxSL40LxbPYojFBH%2FWjw97WALu3nvGPtVnRKrYubyW15zbomGnPATou%2FPTp0xiH7iQ8LuugxB0HG6Tx9va%2B%2FuR24ulr3749eZxpgXGQ1dvXrt2%2BGltmTZ4PcVrvOnkUOqaOQmfDHI%2B2pibMh1iy7e%2Bd43Ea24l%2F3Ay%2Fu4jRg8rHznD0fzPGCbhoVU8pZskUbNqmYtOuY%2FO8Vwo2hyOxRB2f573%2BYFO4pTX58RjFsdZV%2FgR8iufixD4BMqM0%2F7uODOrDE%2FAJ0fy1Tmb3OD7hTCnWDlpVhLIfNReQG5OUCVPZ40mzMBYQZHUG1MoE9wXkZhOtCwvi88aQH2P1fu%2BYzdJeVdpdNCkrgxn24wKRKTVhURho0V6s0zg%2BeWQYaz1OBySK0kgGhoqOS6Jziuf8K52TlSnyr0LHGhdIKiRpCGly35kQ1lZovrkQ9YIGaMhSp0N40mMdEeO6h46aUl7gX4vDw9GH%2FSmi%2BJzZybvlJsoMwRBWWdhdjFd%2FrJrUr%2Fjc%2B4w2kZy4vU6%2BEKW2Q%2FREzrvQuJJ34qc70gVBy%2F3j%2Bb06ri2gE%2BypYRvNgGaAiYtNmQYBlJiEcAucz5ZbaIlOSxgszBYXOoWVQBarUeQsPtdUHHfEtnhpSh11VmKTLh8%2BWHaf2enmKUFiUZ0gYf05yrI%2Fglan1ECUxiy6OlGAJ6hChM%2FuwdXxBKQJ4PxGnah4YtJ8GQ0W7R%2FW6n7w0YP8i%2FxJ9NkKl9MMN%2BpdVuyYqWLSqryjDWYWNtLVah4FzfkTw8A0PmtFkrFffymMqqobDJSSFZ9m4IxgfAQfdLqPsWhPXbaL%2B6xOSXsyIEclM4g2FNTxmECzMCSv7CBEi2A7Llv%2BBhm96Zonnrgm3dX13CVf%2BiU7sobMoBY3eX%2FF5cgHT3%2FwlGPj1b94IGBzbFLv0x8H2YAb%2BvzDDHXrhw%2Bh7kcbF4cBZjFo0BxWFA4zweSsiWBoyRMAhYl8lXzxzGsngqE5LygcX1UvDn6leM3TUyDBNYPouboXg33BAIMLoOhGSY5g01CSQ8OMnAlmmfrBE%2FgfvoSfld3d3bup92Cpuq9W73ot%2FE6B3w1rDuPx%2BmSsTMllCyL8oKg3eaI4pHQMfBJmw13bn%2BEvWDS9C%2B%2BS7lt0gTk7cP0pwS%2BeeeUjrMO86AL2QH695PItuiCs%2Fqi7m2TDFyzyR1rOGzr1s8ZTLnvkSt7Jsxcw%2Fw8un4kSeNpjYGRgYGBkcFz6%2F1NPPL%2FNVwZ5lg1AEYbzPJx6MPq%2F1f85rHdZJYBcDgYmkCgAaDML2XjaY2BkYGCV%2BN8CJq3%2BXWa9ywAUQQHzAYk7Bkt42mPcwaDBsoGBAQmnwNhMPQwMrBIImnETELsxMDDchOLFQD4LkPaA0CA5qP4TjF9A7P%2BfIGb9%2Fww1kw%2BIxSFq%2Fu%2BAYBS7YVgWiLOgasURehikoDQjlGYBmjEHqocRwgezWdD0ofgLB4aZeQJJzBQh9n8rkFbErvf%2FbKh%2BmNgUKL8Ui3qY%2BR1Q9glUOxl1oHbuBLIFgDQzDgzzJwuSv0H4DBBnIPGVoOEA4%2BcD3XsYiudjCRdQ3DwC0m5A2gpICyHCh1EPzc9eQCyKpJcDKp4IxExAzAoVZ0XCDCxHIPYwgMH%2FGwwBDJYMJ4DpRx0oxoQCEeAmmGRBEhFnQAUpYBMFIKz%2Fc1AhSOf%2FT%2F8%2FAeUqAVIarnx42mNgYNCCwjSGJfggowGjB2MAYwvjKsZzjP%2BYzJhmMJ1hesesw%2BzD%2FIWliDWFjY9Nic2F7RG7D%2FsG9hccUzgNOBM4p3BxcblwdXC94w7jnsD9jMeOZwOvDG8Z7yo%2BK74Evi6%2BO%2Fw3BHwEOgSuCfIJqglOERIRShC6JSwm3CfCI5IksktUTXSSWJLYLXEf8TbxFxIWEk0S%2ByR1JGdI%2FpHykqqR2iZ1TeqJtIi0gbSfdJv0NukH0l9k%2BGSiZJbIvJM1kj0kJyDXJfdG3k1%2BgfwB%2BUcKbApaCm4KeQoTFD4pZikeUXJSOqFcp7xORURlksozVRHVDtU5qptU36lFqXWo7VN7oc6nnqV%2BTsNCI0Vjh6aZ5hWtPK032hnam7R%2F6bjozNDdp%2FtML01vkt4vfSsDCYNthmqGdYaXjDiMdhgnGE8wkTJZZMpimma6z0zMLMZsizmXeYL5GvM%2FFgEWWywlLCMsp1lesZKwirNqs7pmrWNdYn3PxsEmw%2BaOrYvtCjsBOw%2B7PXbv7A3sZzkwOSQ4bHFUcuxw%2FODU5PTDucP5m4uNS4LLPABRwojtAAABAAAA2wCbABEAAAAAAAIAAQACABYAAAEAAQEAAAAAeNqtUs1OwkAYnBY0Eo0aSTj34MGLDSAiwsl4EP%2BJRtGjVCiVQomtVBKfwmfw4sWDR59A38On8GCcXRYkyMEYaXZ39ut8s7NTAMzhBRrEL44FzhFo0RjXK%2B56WMMS7hTWMYsHhSPYw7PCUeTwqfAEbrWswpPIak8KTyGhvSscI%2F5QeBqL%2BrzCM8QZhePEZwq%2FIqH3Pbwhqd%2BHYWjabrdddyyv5ZuW18QmPLTRxTUc2KgjgIFHjjSSSGGFqMK3BnZwgRbXXfI7xILfgMnKBlw%2BxpCCL3dVrlWuHc6XZG7x5ucooYhtnnqIAxyTV6SWixqHQ32bPUfk27hhRZySYmdSeinghKeX2VcYq%2FVTaXlE67cOjJG%2BU3kPn%2B89mcGwp5LU6O2%2Bq3UyA1iS3xl0mFjjXECTqg1qCk6NVXFyhYmbWJUjx9zTWP%2FjLcd%2FqfHVUD4mu11%2B5TZ9O8q1z6pAzX%2FjlOmyQueiGgwy2VeZ9v2lmZHIM4e8zDLPLDKD%2F2PmC43JiIUAAHjabdVV15RlAEbh2YBggd3drXO%2F89bYCPPZ3d0CioAoKnZ3d3d3YXd3x4E%2Fwp%2Bg%2BM32zPfkXjNrZj%2FPwTVrOmM6o8%2FfCzpF5%2F%2BePzsdxjC2M7YzsTOJcSzCeCawKIuxOEuwJBOZxFIszTIs2%2FmL5VieFViRlViZVViV1VidNViTtVibdViX9VifDdiQjdiYTdiUzdicLdiSregSCnqUVNQ0tPTZmm3Ylu3Ynh3YkcnsxBSmMmCEndmFXdmN3dmDPdmLvdmHfdmP%2FTmAAz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RE0JgcFDgEVESYHBgQkiE9BWAJYQEpPVxISiE9GUw4K%2FRAKDkBKT4tuKRoVYCoCXpv99xAXGnI2NykZF1E3A3EKCwPBAxMK%2FU8RGBkAAAIAF%2F%2FsBMQEmQATABsAWQCyDgAAK7ASL7AXzbAbL7ADzQGwHC%2BwAdawFc2wFRCxGQErsAXNsR0BK7EZFRESswMCEBIkFzmwBRGwBzkAsRIOERKwCTmwFxGwEDmwGxKzAQAHBSQXOTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIBcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwQAAAAABAGQAWASvBEQAGQAVAAGwGi%2BwANawDs2wDs2xGwErADAxEzQ%2BAh4BFz4CHgIVFA4DBy4EZDhad3d5LDB7eHVYNkN5hKg%2BPqeEeUMDEEB2Uy0ESURFSAQtU3ZAOXmAf7JVVbJ%2FgHkAAAL%2FuABHBJUEsAAKAAwAAAMhEzMTIQETCQETAzdIAd%2BSApIB2P6Ckf6A%2FoKSlAIDIAGQ%2FnD%2B6v4%2FARP%2B7QG%2F%2Fj8BAAAAA%2F%2B4AEcElQSwAAoADAAWABgAsA0vsBMzsAHNsAQyAbAXL7EYASsAMDEDIRMzEyEBEwkBEwM3ExcHNxcnNyMnB0gB35ICkgHY%2FoKR%2FoD%2BgpKUAkPEScDDSsHrTU4DIAGQ%2FnD%2B6v4%2FARP%2B7QG%2F%2Fj8BAnSO4oyN5YzT0wAAAAEAAAAABLAEsAATAAAxNQE1IiY9ATQ2MhYdARQGIxUBFQGQJT%2Bw%2BLA%2FJQGQjwEBZJUzyHywsHzIM5Vk%2Fv%2BPAAANAAAAAASwBEwAAwAHAAsADwATABcAGwAfACMAJwArAC8AMwCwALIAAAArsATNsRggMjKwBy%2BwIjOwCM2wJDKwCy%2BwJjOwDM2wKDKwDy%2BwKjOwEM2wLDKwEy%2BwLjOwFM2wMDKwFy%2BxHjIzM7ABzQGwNC%2BwANawBM2zCAwQFCQXMrAEELEFASuzCQ0RFSQXMrAYzbAcMrAYELEZASuwHTKwIM2zJCgsMCQXMrAgELEhASuzJSktMSQXMrADzbE1ASsAsQwLERKxGhs5ObAPEbEcHTk5MDExESERJTM1IzUzNSM1MzUjNTM1IzUzNSMTIREhNSERIQEzNSM1MzUjNTM1IzUzNSM1MzUjBLD7tGRkZGRkZGRkZGTIAlj9qAJY%2FagCvGRkZGRkZGRkZGQETPu0ZGRkZGRkZGRkZPx8AZBkAZD8fGRkZGRkZGRkZAAAAAAEAAAAAARMBEwADwAfAC8APwBCALINAAArsCwzsATNsCQysB0vsDwzsBTNsDQyAbBAL7AA1rAQMrAJzbAYMrAJELEgASuwMDKwKc2wODKxQQErADAxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%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%2B1Mj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l6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQ4OyIgZD0iTTEwMCAwdjg5cTQxIDcgNzAuNSAzMi41dDI5LjUgNjUuNXY4MjdxMCAyOCAtMSAzOS41dC01LjUgMjZ0LTE1LjUgMjF0LTI5IDE0dC00OSAxNC41djcxbDQ3MSAtMXExMjAgMCAyMTMgLTg4dDkzIC0yMjhxMCAtNTUgLTExLjUgLTEwMS41dC0yOCAtNzR0LTMzLjUgLTQ3LjV0LTI4IC0yOGwtMTIgLTdxOCAtMyAyMS41IC05dDQ4IC0zMS41dDYwLjUgLTU4dDQ3LjUgLTkxLjV0MjEuNSAtMTI5cTAgLTg0IC01OSAtMTU2LjV0LTE0MiAtMTExIHQtMTYyIC0zOC41aC01MDB6TTQwMCAyMDBoMTYxcTg5IDAgMTUzIDQ4LjV0NjQgMTMyLjVxMCA5MCAtNjIuNSAxNTQuNXQtMTU2LjUgNjQuNWgtMTU5di00MDB6TTQwMCA3MDBoMTM5cTc2IDAgMTMwIDYxLjV0NTQgMTM4LjVxMCA4MiAtODQgMTMwLjV0LTIzOSA0OC41di0zNzl6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0OTsiIGQ9Ik0yMDAgMHY1N3E3NyA3IDEzNC41IDQwLjV0NjUuNSA4MC41bDE3MyA4NDlxMTAgNTYgLTEwIDc0dC05MSAzN3EtNiAxIC0xMC41IDIuNXQtOS41IDIuNXY1N2g0MjVsMiAtNTdxLTMzIC04IC02MiAtMjUuNXQtNDYgLTM3dC0yOS41IC0zOHQtMTcuNSAtMzAuNWwtNSAtMTJsLTEyOCAtODI1cS0xMCAtNTIgMTQgLTgydDk1IC0zNnYtNTdoLTUwMHoiIC8%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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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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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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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYyOyIgZD0iTTIxNyA1MTlxOCAtMTkgMzEgLTE5aDMwMnEtMTU1IC00MzggLTE2MCAtNDU4cS01IC0yMSA0IC0zMmw5IC04aDlxMTQgMCAyNiAxNXExMSAxMyAyNzQuNSAzMjEuNXQyNjQuNSAzMDguNXExNCAxOSA1IDM2cS04IDE3IC0zMSAxN2wtMzAxIC0xcTEgNCA3OCAyMTkuNXQ3OSAyMjcuNXEyIDE1IC01IDI3bC05IDloLTlxLTE1IDAgLTI1IC0xNnEtNCAtNiAtOTggLTExMS41dC0yMjguNSAtMjU3dC0yMDkuNSAtMjM3LjVxLTE2IC0xOSAtNiAtNDEgeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxNjM7IiBkPSJNMCA0MDBxMCAtMTY1IDExNy41IC0yODIuNXQyODIuNSAtMTE3LjVoMzAwcTQ3IDAgMTAwIDE1djE4NWgtNTAwcS00MSAwIC03MC41IDI5LjV0LTI5LjUgNzAuNXY1MDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDUwMHYxODVxLTE0IDQgLTExNCA3LjV0LTE5MyA1LjVsLTkzIDJxLTE2NSAwIC0yODIuNSAtMTE3LjV0LTExNy41IC0yODIuNXYtMzAwek02MDAgNDAwdjMwMGgzMDB2MjAwbDQwMCAtMzUwbC00MDAgLTM1MHYyMDBoLTMwMHogIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE2NDsiIGQ9Ik0wIDQwMHEwIC0xNjUgMTE3LjUgLTI4Mi41dDI4Mi41IC0xMTcuNWgzMDBxMTYzIDAgMjgxLjUgMTE3LjV0MTE4LjUgMjgyLjV2OThsLTc4IDczbC0xMjIgLTEyM3YtMTQ4cTAgLTQxIC0yOS41IC03MC41dC03MC41IC0yOS41aC01MDBxLTQxIDAgLTcwLjUgMjkuNXQtMjkuNSA3MC41djUwMHEwIDQxIDI5LjUgNzAuNXQ3MC41IDI5LjVoMTU2bDExOCAxMjJsLTc0IDc4aC0xMDBxLTE2NSAwIC0yODIuNSAtMTE3LjV0LTExNy41IC0yODIuNSB2LTMwMHpNNDk2IDcwOWwzNTMgMzQybC0xNDkgMTQ5aDUwMHYtNTAwbC0xNDkgMTQ5bC0zNDIgLTM1M3oiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTk0OyIg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<div id="header">
<h1 class="title">R Programming Course Notes</h1>
<h4 class="author"><em>Xing Su</em></h4>
</div>

<div id="TOC">
<ul>
<li><a href="#overview-and-history-of-r">Overview and History of R</a></li>
<li><a href="#coding-standards">Coding Standards</a></li>
<li><a href="#workspace-and-files">Workspace and Files</a></li>
<li><a href="#r-console-and-evaluation">R Console and Evaluation</a></li>
<li><a href="#r-objects-and-data-structures">R Objects and Data Structures</a><ul>
<li><a href="#vectors-and-lists">Vectors and Lists</a></li>
<li><a href="#matrices-and-data-frames">Matrices and Data Frames</a></li>
<li><a href="#arrays">Arrays</a></li>
<li><a href="#factors">Factors</a></li>
</ul></li>
<li><a href="#missing-values">Missing Values</a></li>
<li><a href="#sequence-of-numbers">Sequence of Numbers</a></li>
<li><a href="#subsetting">Subsetting</a><ul>
<li><a href="#vectors">Vectors</a></li>
<li><a href="#lists">Lists</a></li>
<li><a href="#matrices">Matrices</a></li>
<li><a href="#partial-matching">Partial Matching</a></li>
</ul></li>
<li><a href="#logic">Logic</a></li>
<li><a href="#understanding-data">Understanding Data</a></li>
<li><a href="#split-apply-combine-funtions">Split-Apply-Combine Funtions</a><ul>
<li><a href="#split"><code>split()</code></a></li>
<li><a href="#apply"><code>apply()</code></a></li>
<li><a href="#lapply"><code>lapply()</code></a></li>
<li><a href="#sapply"><code>sapply()</code></a></li>
<li><a href="#vapply"><code>vapply()</code></a></li>
<li><a href="#tapply"><code>tapply()</code></a></li>
<li><a href="#mapply"><code>mapply()</code></a></li>
<li><a href="#aggregate"><code>aggregate()</code></a></li>
</ul></li>
<li><a href="#simulation">Simulation</a><ul>
<li><a href="#simulation-examples">Simulation Examples</a></li>
<li><a href="#generate-numbers-for-a-linear-model">Generate Numbers for a Linear Model</a></li>
</ul></li>
<li><a href="#dates-and-times">Dates and Times</a></li>
<li><a href="#base-graphics">Base Graphics</a></li>
<li><a href="#reading-tabular-data">Reading Tabular Data</a><ul>
<li><a href="#larger-tables">Larger Tables</a></li>
<li><a href="#textual-data-formats">Textual Data Formats</a></li>
<li><a href="#interfaces-to-the-outside-world">Interfaces to the Outside World</a></li>
</ul></li>
<li><a href="#control-structures">Control Structures</a><ul>
<li><a href="#if---else"><code>if - else</code></a></li>
<li><a href="#for"><code>for</code></a></li>
<li><a href="#while"><code>while</code></a></li>
<li><a href="#repeat-and-break"><code>repeat</code> and <code>break</code></a></li>
<li><a href="#next-and-return"><code>next</code> and <code>return</code></a></li>
</ul></li>
<li><a href="#functions">Functions</a></li>
<li><a href="#scoping">Scoping</a><ul>
<li><a href="#scoping-example">Scoping Example</a></li>
<li><a href="#lexical-vs-dynamic-scoping-example">Lexical vs Dynamic Scoping Example</a></li>
<li><a href="#optimization">Optimization</a></li>
</ul></li>
<li><a href="#debugging">Debugging</a></li>
<li><a href="#r-profiler">R Profiler</a><ul>
<li><a href="#miscellaneous">Miscellaneous</a></li>
</ul></li>
</ul>
</div>

<div id="overview-and-history-of-r" class="section level2">
<h2>Overview and History of R</h2>
<ul>
<li><strong>R</strong> = dialect of the <strong>S</strong> language
<ul>
<li>S was developed by John Chambers @ Bell Labs</li>
<li>initiated in 1976 as internal tool, originally FORTRAN libraries</li>
<li>1988 rewritten in C (version 3 of language)</li>
<li>1998 version 4 (what we use today)</li>
</ul></li>
<li><strong>History of S</strong>
<ul>
<li>Bell labs <span class="math">\(\rightarrow\)</span> insightful <span class="math">\(\rightarrow\)</span> Lucent <span class="math">\(\rightarrow\)</span> Alcatel-Lucent</li>
<li>in 1998, S won the Association for computing machinery’s software system award</li>
</ul></li>
<li><strong>History of R</strong>
<ul>
<li>1991 created in New Zealand by Ross Ihaka &amp; RobertGentleman</li>
<li>1993 first announcement of R to public</li>
<li>1995 Martin Machler convinces founders to use GNU General Public license to make R free</li>
<li>1996 public mailing list created R-help and R-devel</li>
<li>1997 R Core Group formed</li>
<li>2000 R v1.0.0 released</li>
</ul></li>
<li><strong>R Features</strong>
<ul>
<li>Syntax similar to S, semantics similar to S, runs on any platforms, frequent releasees</li>
<li>lean software, functionalities in modular packages, sophisticated graphics capabilities</li>
<li>useful for interactive work, powerful programming language</li>
<li>active user community and <strong><em>FREE</em></strong> (4 freedoms)
<ul>
<li>freedom to run the program</li>
<li>freedom to study how the program works and adapt it</li>
<li>freedom to redistribute copies</li>
<li>freedom to improve the program</li>
</ul></li>
</ul></li>
<li><strong>R Drawbacks</strong>
<ul>
<li>40 year-old technology</li>
<li>little built-in support for dynamic/3D graphics</li>
<li>functionality based on consumer demand</li>
<li>objects generally stored in physical memory (limited by hardware)</li>
</ul></li>
<li><strong>Design of the R system</strong>
<ul>
<li>2 conceptual parts: base R from CRAN vs. everything else</li>
<li>functionality divided into different packages
<ul>
<li><strong>base R</strong> contains core functionality and fundamental functions</li>
<li>other utility packages included in the base install: <code>util</code>, <code>stats</code>, <code>datasets</code>, …</li>
<li>Recommended packages: <code>bootclass</code>, <code>KernSmooth</code>, etc</li>
</ul></li>
<li>5000+ packages available</li>
</ul></li>
</ul>
</div>
<div id="coding-standards" class="section level2">
<h2>Coding Standards</h2>
<ul>
<li>Always use text files/editor</li>
<li>Indent code (4 space minimum)</li>
<li>limit the width of code (80 columns)</li>
<li>limit the length of individual functions</li>
</ul>
</div>
<div id="workspace-and-files" class="section level2">
<h2>Workspace and Files</h2>
<ul>
<li><code>getwd()</code> = return current working directory</li>
<li><code>setwd()</code> = set current working directory</li>
<li><code>?function</code> = brings up help for that function</li>
<li><code>dir.create(&quot;path/foldername&quot;, recursive = TRUE)</code> = create directories/subdirectories</li>
<li><code>unlink(directory, recursive = TRUE)</code> = delete directory and subdirectories</li>
<li><code>ls()</code> = list all objects in the local workspace</li>
<li><code>list.files(recursive = TRUE)</code> = list all, including subdirectories</li>
<li><code>args(function)</code> = returns arguments for the function</li>
<li><code>file.create(&quot;name&quot;)</code> = create file
<ul>
<li><code>.exists(&quot;name&quot;)</code> = return true/false exists in working directory</li>
<li><code>.info(&quot;name&quot;)</code> = return file info</li>
<li><code>.info(&quot;name&quot;)$property</code> = returns value for the specific attribute</li>
<li><code>.rename(&quot;name1&quot;, &quot;name2&quot;)</code> = rename file</li>
<li><code>.copy(&quot;name1&quot;, &quot;name2&quot;)</code> = copy file</li>
<li><code>.path(&quot;name1&quot;)</code> = return path of file</li>
</ul></li>
</ul>
</div>
<div id="r-console-and-evaluation" class="section level2">
<h2>R Console and Evaluation</h2>
<ul>
<li><code>&lt;-</code> = assignment operator</li>
<li><code>#</code> = comment</li>
<li>expression is evaluated after hitting <code>enter</code> and result is returned</li>
<li>autoprinting occurs when you call a variable
<ul>
<li><code>print(x)</code> = explicitly printing</li>
</ul></li>
<li><code>[1]</code> at the beginning of the output = which element of the vector is being shown</li>
</ul>
</div>
<div id="r-objects-and-data-structures" class="section level2">
<h2>R Objects and Data Structures</h2>
<ul>
<li>5 basic/<strong>atomic classes</strong> of objects:
<ol style="list-style-type: decimal">
<li>character</li>
<li>numeric</li>
<li>integer</li>
<li>complex</li>
<li>logical</li>
</ol></li>
<li><strong>Numbers</strong>
<ul>
<li>numbers generally treated as <code>numeric</code> objects (double precision real numbers - decimals)</li>
<li>Integer objects can be created by adding <code>L</code> to the end of a number(ex. <code>1L</code>)</li>
<li><code>Inf</code> = infinity, can be used in calculations</li>
<li><code>NaN</code> = not a number/undefined</li>
<li><code>sqrt(value)</code> = square root of value</li>
</ul></li>
<li><strong>Variables</strong>
<ul>
<li><code>variable &lt;- value</code> = assignment of a value to a variable name</li>
</ul></li>
</ul>
<div id="vectors-and-lists" class="section level3">
<h3>Vectors and Lists</h3>
<ul>
<li><strong>atomic vector</strong> = contains one data type, most basic object
<ul>
<li><code>vector &lt;- c(value1, value2, ...)</code> = creates a vector with specified values</li>
<li><code>vector1*vector2</code> = element by element multiplication (rather than matrix multiplication)
<ul>
<li>if the vectors are of different lengths, shorter vector will be recycled until the longer runs out</li>
<li>computation on vectors/between vectors (<code>+</code>, <code>-</code>, <code>==</code>, <code>/</code>, etc.) are done element by element by default</li>
<li><code>%*%</code> = force matrix multiplication between vectors/matrices</li>
</ul></li>
<li><code>vector(&quot;class&quot;, n)</code> = creates empty vector of length n and specified class
<ul>
<li><code>vector(&quot;numeric&quot;, 3)</code> = creates 0 0 0</li>
</ul></li>
</ul></li>
<li><code>c()</code> = concatenate
<ul>
<li><code>T, F</code> = shorthand for <code>TRUE</code> and <code>FALSE</code></li>
<li><code>1+0i</code> = complex numbers</li>
</ul></li>
<li><strong>explicit coercion</strong>
<ul>
<li><code>as.numeric(x)</code>, <code>as.logical(x)</code>, <code>as.character(x)</code>, <code>as.complex(x)</code> = convert object from one class to another</li>
<li>nonsensible coercion will result in NA (ex. <code>as.numeric(c(&quot;a&quot;, &quot;b&quot;)</code>)</li>
<li><code>as.list(data.frame)</code> = converts a <code>data.frame</code> object into a <code>list</code> object</li>
<li><code>as.character(list)</code> = converts list into a character vector</li>
</ul></li>
<li><strong>implicit coercion</strong>
<ul>
<li>matrix/vector can only contain one data type, so when attempting to create matrix/vector with different classes, forced coercion occurs to make every element to same class
<ul>
<li><em>least common denominator</em> is the approach used (basically everything is converted to a class that all values can take, numbers <span class="math">\(\rightarrow\)</span> characters) and <em>no errors generated</em></li>
<li>coercion occurs to make every element to same class (implicit)</li>
<li><code>x &lt;- c(NA, 2, &quot;D&quot;)</code> will create a vector of character class</li>
</ul></li>
</ul></li>
<li><code>list()</code> = special vector wit different classes of elements
<ul>
<li><code>list</code> = vector of objects of different classes</li>
<li>elements of list use <code>[[]]</code>, elements of other vectors use <code>[]</code></li>
</ul></li>
<li><strong>logical vectors</strong> = contain values <code>TRUE</code>, <code>FALSE</code>, and <code>NA</code>, values are generated as result of logical conditions comparing two objects/values</li>
<li><code>paste(characterVector, collapse = &quot; &quot;)</code> = join together elements of the vector and separating with the <code>collapse</code> parameter</li>
<li><code>paste(vec1, vec2, sep = &quot; &quot;)</code> = join together different vectors and separating with the <code>sep</code> parameter
<ul>
<li><em><strong>Note</strong>: vector recycling applies here too </em></li>
<li><code>LETTERS</code>, <code>letters</code>= predefined vectors for all 26 upper and lower letters</li>
</ul></li>
<li><code>unique(values)</code> = returns vector with all duplicates removed</li>
</ul>
</div>
<div id="matrices-and-data-frames" class="section level3">
<h3>Matrices and Data Frames</h3>
<ul>
<li><code>matrix</code> can contain <strong>only 1</strong> type of data</li>
<li><code>data.frame</code> can contain <strong>multiple</strong></li>
<li><code>matrix(values, nrow = n, ncol = m)</code> = creates a n by m matrix
<ul>
<li>constructed <strong>COLUMN WISE</strong> <span class="math">\(\rightarrow\)</span> the elements are placed into the matrix from top to bottom for each column, and by column from left to right</li>
<li>matrices can also be created by adding the dimension attribute to vector
<ul>
<li><code>dim(m) &lt;- c(2, 5)</code></li>
</ul></li>
<li>matrices can also be created by binding columns and rows
<ul>
<li><code>rbind(x, y)</code>, <code>cbind(x, y)</code> = combine rows/columns; can be used on vectors or matrices</li>
</ul></li>
<li><code>*</code> and <code>/</code> = element by element computation between two matrices
<ul>
<li><code>%*%</code> = matrix multiplication</li>
</ul></li>
</ul></li>
<li><code>dim(obj)</code> = dimensions of an object (returns <code>NULL</code> if a vector)
<ul>
<li><code>dim(obj) &lt;- c(4, 5)</code> = assign <code>dim</code> attribute to an object
<ul>
<li>if object is a vector, R converts the vector to a n by m matrix (i.e. 4 rows by 5 column from the example command)
<ul>
<li><em><strong>Note</strong>: if n by m is larger than length of vector, then an error is returned</em></li>
</ul></li>
<li><strong><em>example</em></strong></li>
</ul></li>
</ul></li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># initiate a vector</span>
x &lt;-<span class="kw">c</span>(<span class="ot">NA</span>, <span class="dv">1</span>, <span class="st">&quot;cx&quot;</span>, <span class="ot">NA</span>, <span class="dv">2</span>, <span class="st">&quot;dsa&quot;</span>)
<span class="kw">class</span>(x)</code></pre>
<pre><code>## [1] &quot;character&quot;</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">x</code></pre>
<pre><code>## [1] NA    &quot;1&quot;   &quot;cx&quot;  NA    &quot;2&quot;   &quot;dsa&quot;</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># convert to matrix</span>
<span class="kw">dim</span>(x) &lt;-<span class="st"> </span><span class="kw">c</span>(<span class="dv">3</span>, <span class="dv">2</span>)
<span class="kw">class</span>(x)</code></pre>
<pre><code>## [1] &quot;matrix&quot;</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">x</code></pre>
<pre><code>##      [,1] [,2] 
## [1,] NA   NA   
## [2,] &quot;1&quot;  &quot;2&quot;  
## [3,] &quot;cx&quot; &quot;dsa&quot;</code></pre>
<ul>
<li><code>data.frame(var = 1:4, var2 = c(….))</code> = creates a data frame
<ul>
<li><code>nrow()</code>, <code>ncol()</code> = returns row and column numbers</li>
<li><code>data.frame(vector, matrix)</code> = takes any number of arguments and returns a single object of class “data.frame” composed of original objects</li>
<li><code>as.data.frame(obj)</code> = converts object to data frame</li>
<li>data frames store tabular data</li>
<li>special type of list where every list has the same length (can be of different type)</li>
<li>data frames are usually created through <code>read.table()</code> and <code>read.csv()</code></li>
<li><code>data.matrix()</code> = converts a matrix to data frame</li>
</ul></li>
<li><code>colMeans(matrix)</code> or <code>rowMeans(matrix)</code> = returns means of the columns/rows of a matrix/dataframe in a vector</li>
<li><code>as.numeric(rownames(df))</code> = returns row indices for rows of a data frame with unnamed rows</li>
<li><strong>attributes</strong>
<ul>
<li>objects can have attributes: <code>names</code>, <code>dimnames</code>, <code>row.names</code>, <code>dim</code> (matrices, arrays), <code>class</code>, <code>length</code>, or any user-defined ones</li>
<li><code>attributes(obj)</code>, <code>class(obj)</code> = return attributes/class for an R object</li>
<li><code>attr(object, &quot;attribute&quot;) &lt;- &quot;value&quot;</code> = creates/assigns a value to a new/existing attribute for the object</li>
<li><code>names</code> attribute
<ul>
<li>all objects can have names</li>
<li><code>names(x)</code> = returns names (<code>NULL</code> if no name exists)
<ul>
<li><code>names(x) &lt;- c(&quot;a&quot;, …)</code> = can be used to assign names to vectors</li>
</ul></li>
<li><code>list(a = 1, b = 2, …)</code> = <code>a</code>, <code>b</code> are names</li>
<li><code>dimnames(matrix) &lt;- list(c(&quot;a&quot;, &quot;b&quot;), c(&quot;c&quot; , &quot;d&quot;))</code> = assign names to matrices
<ul>
<li>use list of two vectors: row, column in that order</li>
</ul></li>
</ul></li>
<li><code>colnames(data.frame)</code> = return column names (can be used to set column names as well, similar to <code>dim()</code>)</li>
<li><code>row.names</code> = names of rows in the data frame (attribute)</li>
</ul></li>
</ul>
</div>
<div id="arrays" class="section level3">
<h3>Arrays</h3>
<ul>
<li>multi-dimensional collection of data with <span class="math">\(k\)</span> dimensions
<ul>
<li>matrix = 2 dimensional array</li>
</ul></li>
<li><code>array(data, dim, dimnames)</code>
<ul>
<li><code>data</code> = data to be stored in array</li>
<li><code>dim</code> = dimensions of the array
<ul>
<li><code>dim = c(2, 2, 5)</code> = 3 dimensional array <span class="math">\(\rightarrow\)</span> creates 5 2x2 array</li>
</ul></li>
<li><code>dimnames</code> = add names to the dimensions
<ul>
<li>input must be a <code>list</code></li>
<li>every element of the <code>list</code> must correspond in length to the dimensions of the array</li>
<li><code>dimnames(x) &lt;- list(c(&quot;a&quot;, &quot;b&quot;), c(&quot;c&quot;, &quot;d&quot;), c(&quot;e&quot;, &quot;f&quot;, &quot;g&quot;, &quot;h&quot;, &quot;i&quot;))</code> = set the names for row, column, and third dimension respectively (2 x 2 x 5 in this case)</li>
</ul></li>
</ul></li>
<li><code>dim()</code> function can be used to create arrays from vectors or matrices
<ul>
<li><code>x &lt;- rnorm(20); dim(x) &lt;- c(2, 2, 5)</code> = converts a 20 element vector to a 2x2x5 array</li>
</ul></li>
</ul>
</div>
<div id="factors" class="section level3">
<h3>Factors</h3>
<ul>
<li>factors are used to represent <em>categorical data</em> (integer vector where each value has a label)</li>
<li>2 types: <strong>unordered</strong> vs <strong>ordered</strong></li>
<li>treated specially by <code>lm()</code>, <code>glm()</code></li>
<li>Factors easier to understand because they self describe (vs. 1 and 2)</li>
<li><code>factor(c(&quot;a&quot;, &quot;b&quot;), levels = c(&quot;1&quot;, &quot;2&quot;))</code> = creates factor
<ul>
<li><code>levels()</code> argument can be used to specify baseline levels vs other levels
<ul>
<li><em><strong>Note</strong>:without explicit specification, R uses alphabetical order</em></li>
</ul></li>
<li><code>table(factorVar)</code> = how many of each are in the factor</li>
</ul></li>
</ul>
</div>
</div>
<div id="missing-values" class="section level2">
<h2>Missing Values</h2>
<ul>
<li><code>NaN</code> or <code>NA</code> = missing values
<ul>
<li><code>NaN</code> = undefined mathematical operations</li>
<li><code>NA</code> = any value not available or missing in the statistical sense
<ul>
<li>any operations with <code>NA</code> results in <code>NA</code></li>
<li>NA can have different classes potentially (integer, character, etc)</li>
</ul></li>
<li><em><strong>Note</strong>: NaN is an NA value, but NA is not NaN</em></li>
</ul></li>
<li><code>is.na()</code>, <code>is.nan()</code> = use to test if each element of the vector is <code>NA</code> and <code>NaN</code>
<ul>
<li><em><strong>Note</strong>: cannot compare <code>NA</code> (with <code>==</code>) as it is not a value but a <strong>placeholder</strong> for a quantity that is not available</em></li>
</ul></li>
<li><p><code>sum(my_na)</code> = sum of a logical vector (<code>TRUE</code> = 1 and <code>FALSE</code> = 0) is effectively the number of <code>TRUE</code>s</p></li>
<li><strong>Removing <code>NA</code> Values</strong>
<ul>
<li><code>is.na()</code> = creates logical vector where T is where value exists, F is <code>NA</code>
<ul>
<li>subsetting with the above result can return only the non NA elements</li>
</ul></li>
<li><code>complete.cases(obj1, obj2)</code> = creates logical vector where <code>TRUE</code> is where both values exist, and <code>FALSE</code> is where any is <code>NA</code>
<ul>
<li>can be used on data frames as well</li>
<li><code>complete.cases(data.frame)</code> = creates logical vectors indicating which observation/row is good</li>
<li><code>data.frame[logicalVector, ]</code> = returns all observations with complete data</li>
</ul></li>
</ul></li>
<li><p><strong>Imputing Missing Values</strong> = replacing missing values with estimates (can be averages from all other data with the similar conditions)</p></li>
</ul>
</div>
<div id="sequence-of-numbers" class="section level2">
<h2>Sequence of Numbers</h2>
<ul>
<li><code>1:20</code> = creates a sequence of numbers from first number to second number
<ul>
<li>works in descending order as well</li>
<li>increment = 1</li>
</ul></li>
<li><code>?':'</code> = enclose help for operators</li>
<li><code>seq(1, 20, by=0.5)</code> = sequence 1 to 20 by increment of .5
<ul>
<li><code>length=30</code> argument can be used to specify number of values generated</li>
</ul></li>
<li><code>length(variable)</code> = length of vector/sequence</li>
<li><code>seq_along(vector)</code> or <code>seq(along.with = vector)</code> = create vector that is same length as another vector</li>
<li><code>rep(0, times = 40)</code> = creates a vector with 40 zeroes
<ul>
<li><code>rep(c(1, 2), times = 10)</code> = repeats combination of numbers 10 times</li>
<li><code>rep(c(1, 2), each = 10)</code> = repeats first value 10 times followed by second value 10 times</li>
</ul></li>
</ul>
</div>
<div id="subsetting" class="section level2">
<h2>Subsetting</h2>
<ul>
<li>R uses <strong>one based index</strong> <span class="math">\(\rightarrow\)</span> starts counting at <span class="math">\(1\)</span>
<ul>
<li><code>x[0]</code> returns <code>numeric(0)</code>, not error</li>
<li><code>x[3000]</code> returns <code>NA</code> (not out of bounds/error)</li>
</ul></li>
<li><code>[]</code> = always returns object of same class, can select more than one element of an object (ex. <code>[1:2]</code>)</li>
<li><code>[[]]</code> = can extract one element from list or data frame, returned object not necessarily list/dataframe</li>
<li><code>$</code> = can extract elements from list/dataframe that have names associated with it, not necessarily same class</li>
</ul>
<div id="vectors" class="section level3">
<h3>Vectors</h3>
<ul>
<li><code>x[1:10]</code> = first 10 elements of vector x</li>
<li><code>x[is.na(x)]</code> = returns all NA elements</li>
<li><code>x[!is.na(x)]</code> = returns all non NA elements
<ul>
<li><code>x &gt; 0</code> = would return logical vector comparing all elements to 0 (<code>TRUE</code>/<code>FALSE</code> for all values except for NA and <code>NA</code> for NA elements (NA a placeholder)</li>
</ul></li>
<li><code>x[x&gt;&quot;a&quot;]</code> = selects all elements bigger than a (lexicographical order in place)</li>
<li><code>x[logicalIndex]</code> = select all elements where logical index = TRUE</li>
<li><code>x[-c(2, 10)]</code> = returns everything <strong>but</strong> the second and tenth element</li>
<li><code>vect &lt;- c(a = 1, b = 2, c = 3)</code> = names values of a vector with corresponding names</li>
<li><code>names(vect)</code> = returns element names for object
<ul>
<li><code>names(vet) &lt;- c(&quot;a&quot;, &quot;b&quot;, &quot;c&quot;)</code> = assign/change names of vector</li>
</ul></li>
<li><code>identical(obj1, obj2)</code> = returns TRUE if two objects are exactly equal</li>
<li><code>all.equal(obj1, obj2)</code> = returns TRUE if two objects are near equal</li>
</ul>
</div>
<div id="lists" class="section level3">
<h3>Lists</h3>
<ul>
<li><code>x &lt;- list(foo = 1:4, bar = 0.6)</code></li>
<li><code>x[1]</code> or <code>x[&quot;foo&quot;]</code> = returns the list object <code>foo</code></li>
<li><code>x[[2]]</code> or <code>x[[&quot;bar&quot;]]</code> or <code>x$bar</code> = returns the content of the second element from the list (in this case vector without name attribute)
<ul>
<li><em><strong>Note</strong>: <code>$</code> can’t extract multiple elements </em></li>
</ul></li>
<li><code>x[c(1, 3)]</code> = extract multiple elements of list</li>
<li><code>x[[name]]</code> = extract using variable, where as <code>$</code> must match name of element</li>
<li><code>x[[c(1, 3)]]</code> or <code>x[[1]][[3]]</code> = extracted nested elements of list third element of the first object extracted from the list</li>
</ul>
</div>
<div id="matrices" class="section level3">
<h3>Matrices</h3>
<ul>
<li><code>x[1, 2]</code> = extract the (row, column) element
<ul>
<li><code>x[,2]</code> or <code>x[1,]</code> = extract the entire column/row</li>
</ul></li>
<li><code>x[ , 11:17]</code> = subset the x <code>data.frame</code> with all rows, but only 11 to 17 columns</li>
<li>when an element from the matrix is retrieved, a vector is returned
<ul>
<li>behavior can be turned off (force return a matrix) by adding <code>drop = FALSE</code>
<ul>
<li><code>x[1, 2, drop = F]</code></li>
</ul></li>
</ul></li>
</ul>
</div>
<div id="partial-matching" class="section level3">
<h3>Partial Matching</h3>
<ul>
<li>works with <code>[[]]</code> and <code>$</code></li>
<li><code>$</code> automatically partial matches the name (<code>x$a</code>)</li>
<li><code>[[]]</code> can partial match by adding exact = <code>FALSE</code>
<ul>
<li><code>x[[&quot;a&quot;, exact = false]]</code></li>
</ul></li>
</ul>
</div>
</div>
<div id="logic" class="section level2">
<h2>Logic</h2>
<ul>
<li><code>&lt;</code>, <code>&gt;=</code> = less than, greater or equal to</li>
<li><code>==</code> = exact equality</li>
<li><code>!=</code> = inequality</li>
<li><code>A | B</code> = union</li>
<li><code>A &amp; B</code> = intersection</li>
<li><code>!</code> = negation</li>
<li><code>&amp;</code> or <code>|</code> evaluates every instance/element in vector</li>
<li><code>&amp;&amp;</code> or <code>||</code> evaluate only first element
<ul>
<li><em><strong>Note</strong>: All AND operators are evaluated before OR operators </em></li>
</ul></li>
<li><code>isTRUE(condition)</code> = returns <code>TRUE</code> or <code>FALSE</code> of the condition</li>
<li><code>xor(arg1, arg2)</code> = exclusive OR, one argument must equal <code>TRUE</code> one must equal <code>FALSE</code></li>
<li><code>which(condition)</code> = find the indicies of elements that satisfy the condition (TRUE)</li>
<li><code>any(condition)</code> = <code>TRUE</code> if one or more of the elements in logical vector is <code>TRUE</code></li>
<li><code>all(condition)</code> = <code>TRUE</code> if all of the elements in logical vector is <code>TRUE</code></li>
</ul>
</div>
<div id="understanding-data" class="section level2">
<h2>Understanding Data</h2>
<ul>
<li>use <code>class()</code>, <code>dim()</code>, <code>nrow()</code>, <code>ncol()</code>, <code>names()</code> to understand dataset
<ul>
<li><code>object.size(data.frame)</code> = returns how much space the dataset is occupying in memory</li>
</ul></li>
<li><code>head(data.frame, 10)</code>, <code>tail(data.frame, 10)</code> = returns first/last 10 rows of data; default = 6</li>
<li><code>summary()</code> = provides different output for each variable, depending on class,
<ul>
<li>for numerical variables, displays min max, mean median, etx.</li>
<li>for categorical (factor) variables, displays number of times each value occurs</li>
</ul></li>
<li><code>table(data.frame$variable)</code> = table of all values of the variable, and how many observations there are for each
<ul>
<li><em><strong>Note</strong>: mean for variables that only have values 1 and 0 = proportion of success</em></li>
</ul></li>
<li><code>str(data.frame)</code> = structure of data, provides data class, num of observations vs variables, and name of class of each variable and preview of its contents
<ul>
<li>compactly display the internal structure of an R object</li>
<li>“What’s in this object”</li>
<li>well-suited to compactly display the contents of lists</li>
</ul></li>
<li><code>view(data.frame)</code> = opens and view the content of the data frame</li>
</ul>
</div>
<div id="split-apply-combine-funtions" class="section level2">
<h2>Split-Apply-Combine Funtions</h2>
<ul>
<li>loop functions = convenient ways of implementing the Split-Apply-Combine strategy for data analysis</li>
</ul>
<div id="split" class="section level3">
<h3><code>split()</code></h3>
<ul>
<li>takes a vector/objects and splits it into group b a factor or list of factors</li>
<li><code>split(x, f, drop = FALSE)</code>
<ul>
<li><code>x</code> = vector/list/data frame</li>
<li><code>f</code> = factor/list of factors</li>
<li><code>drop</code> = whether empty factor levels should be dropped</li>
</ul></li>
<li><code>interactions(gl(2, 5), gl(5, 2))</code> = 1.1, 1.2, … 2.5
<ul>
<li><code>gl(n, m)</code> = group level function
<ul>
<li><code>n</code> = number of levels</li>
<li><code>m</code> = number of repetitions</li>
</ul></li>
<li><code>split</code> function can do this by passing in list(f1, f2) in argument
<ul>
<li><code>split(data, list(gl(2, 5), gl(5, 2)))</code> = splits the data into 1.1, 1.2, … 2.5 levels</li>
</ul></li>
</ul></li>
</ul>
</div>
<div id="apply" class="section level3">
<h3><code>apply()</code></h3>
<ul>
<li>evaluate a function (often anonymous) over the margins of an array</li>
<li>often used to apply a function to the row/columns of a matrix</li>
<li>can be used to average array of matrices (general arrays)</li>
<li><code>apply(x, margin = 2, FUN, ...)</code>
<ul>
<li><code>x</code> = array</li>
<li><code>MARGIN</code> = 2 (column), 1 (row)</li>
<li><code>FUN</code> = function</li>
<li><code>…</code> = other arguments that need to be passed to other functions</li>
</ul></li>
<li><strong><em>examples</em></strong>
<ul>
<li><code>apply(x, 1, sum)</code> or <code>apply(x, 1, mean)</code> = find row sums/means</li>
<li><code>apply(x, 2, sum)</code> or <code>apply(x, 2, mean)</code> = find column sums/means</li>
<li><code>apply(x, 1, quantile, props = c(0.25, 0.75))</code> = find 25% 75% percentile of each row</li>
<li><code>a &lt;- array(rnorm(2*2*10), c(2, 2, 10))</code> = create 10 2x2 matrix</li>
<li><code>apply(a, c(1, 2), mean)</code> = returns the means of 10</li>
</ul></li>
</ul>
</div>
<div id="lapply" class="section level3">
<h3><code>lapply()</code></h3>
<ul>
<li>loops over a <code>list</code> and evaluate a function on each element and always returns a <strong><code>list</code></strong>
<ul>
<li><em><strong>Note</strong>: since input must be a list, it is possible that conversion may be needed</em></li>
</ul></li>
<li><code>lapply(x, FUN, ...)</code> = takes list/vector as input, applies a function to each element of the list, returns a list of the same length
<ul>
<li><code>x</code> = list (if not list, will be coerced into list through “as.list”, if not possible —&gt; error)
<ul>
<li><code>data.frame</code> are treated as collections of lists and can be used here</li>
</ul></li>
<li><code>FUN</code> = function (without parentheses)
<ul>
<li>anonymous functions are acceptable here as well - (i.e <code>function(x) x[,1]</code>)</li>
</ul></li>
<li><code>…</code> = other/additional arguments to be passed for FUN (i.e. <code>min</code>, <code>max</code> for <code>runif()</code>)</li>
</ul></li>
<li><strong><em>example</em></strong>
<ul>
<li><code>lapply(data.frame, class)</code> = the data.frame is a list of vectors, the <code>class</code> value for each vector is returned in a list (name of function, <code>class</code>, is without parentheses)</li>
<li><code>lapply(values, function(elem), elem[2])</code> = example of an anonymous function</li>
</ul></li>
</ul>
</div>
<div id="sapply" class="section level3">
<h3><code>sapply()</code></h3>
<ul>
<li>performs same function as <code>lapply()</code> except it simplifies the result
<ul>
<li>if result is of length 1 in every element, sapply returns vector</li>
<li>if result is vectors of the same length (&gt;1) for each element, sapply returns matrix</li>
<li>if not possible to simplify, <code>sapply</code> returns a <code>list</code> (same as <code>lapply()</code>)</li>
</ul></li>
</ul>
</div>
<div id="vapply" class="section level3">
<h3><code>vapply()</code></h3>
<ul>
<li>safer version of <code>sapply</code> in that it allows to you specify the format for the result
<ul>
<li><code>vapply(flags, class, character(1))</code> = returns the <code>class</code> of values in the flags variable in the form of character of length 1 (1 value)</li>
</ul></li>
</ul>
</div>
<div id="tapply" class="section level3">
<h3><code>tapply()</code></h3>
<ul>
<li>split data into groups, and apply the function to data within each subgroup</li>
<li><code>tapply(data, INDEX, FUN, ..., simplify = FALSE)</code> = apply a function over subsets of a vector
<ul>
<li><code>data</code> = vector</li>
<li><code>INDEX</code> = factor/list of factors</li>
<li><code>FUN</code> = function</li>
<li><code>…</code> = arguments to be passed to function</li>
<li><code>simplify</code> = whether to simplify the result</li>
</ul></li>
<li><strong><em>example</em></strong>
<ul>
<li><code>x &lt;- c(rnorm(10), runif(10), rnorm(10, 1))</code></li>
<li><code>f &lt;- gl(3, 10); tapply(x, f, mean)</code> = returns the mean of each group (f level) of x data</li>
</ul></li>
</ul>
</div>
<div id="mapply" class="section level3">
<h3><code>mapply()</code></h3>
<ul>
<li>multivariate apply, applies a function in parallel over a set of arguments</li>
<li><code>mapply(FUN, ..., MoreArgs = NULL, SIMPLIFY = TRUE)</code>
<ul>
<li><code>FUN</code> = function</li>
<li><code>…</code> = arguments to apply over</li>
<li><code>MoreArgs</code> = list of other arguments to FUN</li>
<li><code>SIMPLIFY</code> = whether the result should be simplified</li>
</ul></li>
<li><strong><em>example</em></strong></li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">mapply</span>(rep, <span class="dv">1</span>:<span class="dv">4</span>, <span class="dv">4</span>:<span class="dv">1</span>)</code></pre>
<pre><code>## [[1]]
## [1] 1 1 1 1
## 
## [[2]]
## [1] 2 2 2
## 
## [[3]]
## [1] 3 3
## 
## [[4]]
## [1] 4</code></pre>
</div>
<div id="aggregate" class="section level3">
<h3><code>aggregate()</code></h3>
<ul>
<li>aggregate computes summary statistics of data subsets (similar to multiple <code>tapply</code> at the same time)</li>
<li><code>aggregate(list(name = dataToCompute), list(name = factorVar1,name = factorVar2), function, na.rm = TRUE)</code>
<ul>
<li><code>dataToCompute</code> = this is what the function will be applied on</li>
<li><code>factorVar1, factorVar1</code> = factor variables to split the data by</li>
<li><em><strong>Note</strong>: order matters here in terms of how to break down the data </em></li>
<li><code>function</code> = what is applied to the subsets of data, can be sum/mean/median/etc</li>
<li><code>na.rm = TRUE</code> <span class="math">\(\rightarrow\)</span> removes NA values</li>
</ul></li>
</ul>
</div>
</div>
<div id="simulation" class="section level2">
<h2>Simulation</h2>
<ul>
<li><code>sample(values, n, replace = FALSE)</code> = generate random samples
<ul>
<li><code>values</code> = values to sample from</li>
<li><code>n</code> = number of values generated</li>
<li><code>replace</code> = with or without replacement</li>
<li><code>sample(1:6, 4, replace = TRUE, prob=c(.2, .2…))</code> = choose four values from the range specified with replacing (same numbers can show up twice), with probabilities specified</li>
<li><code>sample(vector)</code> = can be used to permute/rearrange elements of a vector</li>
<li><code>sample(c(y, z), 100)</code> = select 100 random elements from combination of values y and z</li>
<li><code>sample(10)</code> = select positive integer sample of size 10 without repeat</li>
</ul></li>
<li>Each probability distribution functions usually have 4 functions associated with them:
<ul>
<li><code>r***</code> function (for “random”) <span class="math">\(\rightarrow\)</span> random number generation (ex. <code>rnorm</code>)</li>
<li><code>d***</code> function (for “density”) <span class="math">\(\rightarrow\)</span> calculate density (ex. <code>dunif</code>)</li>
<li><code>p***</code> function (for “probability”) <span class="math">\(\rightarrow\)</span> cumulative distribution (ex. <code>ppois</code>)</li>
<li><code>q***</code> function (for “quantile”) <span class="math">\(\rightarrow\)</span> quantile function (ex. <code>qbinom</code>)</li>
</ul></li>
<li>If <span class="math">\(\Phi\)</span> is the cumulative distribution function for a standard Normal distribution, then <code>pnorm(q)</code> = <span class="math">\(\Phi(q)\)</span> and qnorm(p) = <span class="math">\(\Phi^{-1}(q)\)</span>.</li>
<li><code>set.seed()</code> = sets seed for randon number generator to ensure that the same data/analysis can be reproduced</li>
</ul>
<div id="simulation-examples" class="section level3">
<h3>Simulation Examples</h3>
<ul>
<li><code>rbinom(1, size = 100, prob = 0.7)</code> = returns a binomial random variable that represents the number of successes in a give number of independent trials
<ul>
<li><code>1</code> = corresponds number of observations</li>
<li><code>size = 100</code> = corresponds with the number of independent trials that culminate to each resultant observation</li>
<li><code>prob = 0.7</code> = probability of success</li>
</ul></li>
<li><code>rnorm(n, mean = m, sd = s)</code> = generate n random samples from the standard normal distribution (mean = 0, std deviation = 1 by default)
<ul>
<li><code>rnorm(1000)</code> = 1000 draws from the standard normal distribution</li>
<li><code>n</code> = number of observation generated</li>
<li><code>mean = m</code> = specified mean of distribution</li>
<li><code>sd = s</code> = specified standard deviation of distribution</li>
</ul></li>
<li><code>dnorm(x, mean = 0, sd = 1, log = FALSE)</code>
<ul>
<li><code>log</code> = evaluate on log scale</li>
</ul></li>
<li><code>pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)</code>
<ul>
<li><code>lower.tail</code> = left side, <code>FALSE</code> = right</li>
</ul></li>
<li><code>qnorm(p, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)</code>
<ul>
<li><code>lower.tail</code> = left side, <code>FALSE</code> = right</li>
</ul></li>
<li><code>rpois(n, lambda)</code> = generate random samples from the poisson distrbution
<ul>
<li><code>n</code> = number of observations generated</li>
<li><code>lambda</code> = <span class="math">\(\lambda\)</span> parameter for the poisson distribution or rate</li>
</ul></li>
<li><code>rpois(n, r)</code> = generating Poisson Data
<ul>
<li><code>n</code> = number of values</li>
<li><code>r</code> = rate</li>
</ul></li>
<li><code>ppois(n, r)</code> = cumulative distribution
<ul>
<li><code>ppois(2, 2)</code> = <span class="math">\(Pr(x&lt;=2)\)</span></li>
</ul></li>
<li><code>replicate(n, rpois())</code> = repeat operation n times</li>
</ul>
</div>
<div id="generate-numbers-for-a-linear-model" class="section level3">
<h3>Generate Numbers for a Linear Model</h3>
<ul>
<li>Linear model <span class="math">\[
y = \beta_0 + \beta_1 x + \epsilon \\
~\mbox{where}~ \epsilon \sim N(0, 2^2), x \sim N(0, 1^2),  \beta_0 = 0.5,  \beta_1 = 2
\]</span></li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">set.seed</span>(<span class="dv">20</span>)
x &lt;-<span class="st"> </span><span class="kw">rnorm</span>(<span class="dv">100</span>)          <span class="co"># normal</span>
x &lt;-<span class="st"> </span><span class="kw">rbinom</span>(<span class="dv">100</span>, <span class="dv">1</span>, <span class="fl">0.5</span>) <span class="co"># binomial</span>
e &lt;-<span class="st"> </span><span class="kw">rnorm</span>(<span class="dv">100</span>, <span class="dv">0</span>, <span class="dv">2</span>)
y &lt;-<span class="st"> </span><span class="fl">0.5</span> +<span class="st"> </span><span class="dv">2</span>*<span class="st"> </span>x +<span class="st"> </span>e</code></pre>
<ul>
<li>Poisson model <span class="math">\[
Y ~ Poisson(\mu) \\
log(\mu) = \beta_0 + \beta_1 x  \\
~\mbox{where}~ \beta_0 = 0.5,  \beta_1 = 2
\]</span></li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r">x &lt;-<span class="st"> </span><span class="kw">rnorm</span>(<span class="dv">100</span>)
log.mu &lt;-<span class="st"> </span><span class="fl">0.5</span> +<span class="st"> </span><span class="fl">0.3</span>*<span class="st"> </span>x
y &lt;-<span class="st"> </span><span class="kw">rpois</span>(<span class="dv">100</span>, <span class="kw">exp</span>(log.mu))</code></pre>
</div>
</div>
<div id="dates-and-times" class="section level2">
<h2>Dates and Times</h2>
<ul>
<li><code>Date</code> = date class, stored as number of days since 1970-01-01</li>
<li><code>POSIXct</code> = time class, stored as number of seconds since 1970-01-01</li>
<li><code>POSIXlt</code> = time class, stored as list of sec min hours</li>
<li><code>Sys.Date()</code> = today’s date</li>
<li><code>unclass(obj)</code> = returns what obj looks like internally</li>
<li><code>Sys.time()</code> = current time in POSIXct class</li>
<li><code>t2 &lt;- as.POSIXlt(Sys.time())</code> = time in POSIXlt class
<ul>
<li><code>t2$min</code> = return min of time (only works for POSIXlt class)</li>
</ul></li>
<li><code>weekdays(date)</code>, <code>months(date)</code>, <code>quarters(date)</code> = returns weekdays, months, and quarters of time/date inputed</li>
<li><code>strptime(string, &quot;%B %d, %Y %H:%M&quot;)</code> = convert string into time format using the format specified</li>
<li><code>difftime(time1, time2, units = 'days')</code> = difference in times by the specified unit</li>
</ul>
</div>
<div id="base-graphics" class="section level2">
<h2>Base Graphics</h2>
<ul>
<li><code>data(set)</code> = load data</li>
<li><code>plot(data)</code> = R plots the data as best as it can
<ul>
<li><code>x</code> = variable, x axis</li>
<li><code>y</code> = variable</li>
<li><code>xlab, ylab</code> = corresponding labels</li>
<li><code>main, sub</code> = title, subtitle</li>
<li><code>col = 2</code> or <code>col = &quot;red&quot;</code> = color</li>
<li><code>pch = 2</code> = different symbols for points</li>
<li><code>xlim,ylim(v1, v2)</code> = restrict range of plot</li>
</ul></li>
<li><code>boxplot(x ~ y, data = d)</code> = creates boxplot for x vs y variables using the data.frame provided</li>
<li><code>hist(x, breaks)</code> = plots histogram of the data
<ul>
<li><code>break = 100</code> = split data into 100 bins</li>
</ul></li>
</ul>
</div>
<div id="reading-tabular-data" class="section level2">
<h2>Reading Tabular Data</h2>
<ul>
<li><code>read.table(), read.csv()</code> = most common, read text files (rows, col) return data frame</li>
<li><code>readLines()</code> = read lines of text, returns character vector</li>
<li><code>source(file)</code> = read R code</li>
<li><code>dget()</code> = read R code files (R objects that have been reparsed)</li>
<li><code>load()</code>, <code>unserialize()</code> = read binary objects</li>
<li>writing data
<ul>
<li><code>write.table()</code>, <code>writeLines()</code>, <code>dump()</code>, <code>put()</code>, <code>save()</code>, <code>serialize()</code></li>
</ul></li>
<li><code>read.table()</code> arguments:
<ul>
<li><code>file</code> = name of file/connection</li>
<li><code>header</code> = indicator if file contains header</li>
<li><code>sep</code> = string indicating how columns are separated</li>
<li><code>colClasses</code> = character vector indicating what each column is in terms of class</li>
<li><code>nrows</code> = number of rows in dataset</li>
<li><code>comment.char</code> = char indicating beginning of comment</li>
<li><code>skip</code> = number of lines to skip in the beginning</li>
<li><code>stringsAsFactors</code> = defaults to TRUE, should characters be coded as Factor</li>
</ul></li>
<li><code>read.table</code> can be used without any other argument to create data.frame
<ul>
<li>telling R what type of variables are in each column is helpful for larger datasets (efficiency)</li>
<li><code>read.csv()</code> = <code>read.table</code> except default sep is comma (<code>read.table</code> default is <code>sep = &quot; &quot;</code> and <code>header = TRUE</code>)</li>
</ul></li>
</ul>
<div id="larger-tables" class="section level3">
<h3>Larger Tables</h3>
<ul>
<li><em><strong>Note</strong>: help page for read.table important</em></li>
<li>need to know how much RAM is required <span class="math">\(\rightarrow\)</span> calculating memory requirements
<ul>
<li><code>numRow</code> x <code>numCol</code> x 8 bytes/numeric value = size required in bites</li>
<li>double the above results and convert into GB = amount of memory recommended</li>
</ul></li>
<li>set <code>comment.char = &quot;&quot;</code> to save time if there are no comments in the file</li>
<li>specifying <code>colClasses</code> can make reading data much faster</li>
<li><code>nrow = n</code> = number of rows to read in (can help with memory usage)
<ul>
<li><code>initial &lt;- read.table(&quot;file&quot;, rows = 100)</code> = read first 100 lines</li>
<li><code>classes &lt;- sapply(initial, class)</code> = determine what classes the columns are</li>
<li><code>tabAll &lt;- read.table(&quot;file&quot;, colClasses = classes)</code> = load in the entire file with determined classes</li>
</ul></li>
</ul>
</div>
<div id="textual-data-formats" class="section level3">
<h3>Textual Data Formats</h3>
<ul>
<li><code>dump</code> and <code>dput</code> preserve metadata</li>
<li>text formats are editable, not space efficient, and work better with version control system (they can only track changes in text files)</li>
<li><code>dput(obj, file = &quot;file.R&quot;)</code> = creates R code to store all data and meta data in “file.R” (ex. data, class, names, row.names)</li>
<li><code>dget(&quot;file.R&quot;)</code> = loads the file/R code and reconstructs the R object</li>
<li><code>dput</code> can only be used on one object, where as <code>dump</code> can be used on multiple objects</li>
<li><code>dump(c(&quot;obj1&quot;, &quot;obj2&quot;), file= &quot;file2.R&quot;)</code> = stores two objects</li>
<li><code>source(&quot;file2.R&quot;)</code> = loads the objects</li>
</ul>
</div>
<div id="interfaces-to-the-outside-world" class="section level3">
<h3>Interfaces to the Outside World</h3>
<ul>
<li><code>url()</code> = function can read from webpages</li>
<li><code>file()</code> = read uncompressed files</li>
<li><code>gzfile(), bzfile()</code> = read compressed files (gzip, bzip2)</li>
<li><code>file(description = &quot;&quot;, open = &quot;&quot;)</code> = file syntax, creates connection
<ul>
<li><code>description</code> = description of file</li>
<li><code>open</code> = r -readonly, w - writing, a - appending, rb/wb/ab - reading/writing/appending binary</li>
<li><code>close()</code> = closes connection</li>
<li><code>readLines()</code> = can be used to read lines after connection has been established</li>
</ul></li>
<li><code>download.file(fileURL, destfile = &quot;fileName&quot;, method = &quot;curl&quot;)</code>
<ul>
<li><code>fileURL</code> = url of the file that needs to be downloaded</li>
<li><code>destfile = &quot;fileName&quot;</code> = specifies where the file is to be saved
<ul>
<li><code>dir/fileName</code> = directories can be referenced here</li>
</ul></li>
<li><code>method = &quot;curl&quot;</code> = necessary for downloading files from “<a href="https://" class="uri">https://</a>” links on Macs
<ul>
<li><code>method = &quot;auto&quot;</code> = should work on all other machines</li>
</ul></li>
</ul></li>
</ul>
</div>
</div>
<div id="control-structures" class="section level2">
<h2>Control Structures</h2>
<ul>
<li>Common structures are
<ul>
<li><code>if</code>, <code>else</code> = testing a condition</li>
<li><code>for</code> = execute a loop a fixed number of times</li>
<li><code>while</code> = execute a loop while a condition is true</li>
<li><code>repeat</code> = execute an infinite loop</li>
<li><code>break</code> = break the execution of a loop</li>
<li><code>next</code> = skip an interation of a loop</li>
<li><code>return</code> = exit a function</li>
</ul></li>
<li><em><strong>Note</strong>: Control structures are primarily useful for writing programs; for command-line interactive work, the <code>apply</code> functions are more useful </em></li>
</ul>
<div id="if---else" class="section level3">
<h3><code>if - else</code></h3>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># basic structure</span>
if(&lt;condition&gt;) {
    ## do something
} else {
    ## do something else
}

<span class="co"># if tree</span>
if(&lt;condition1&gt;) {
    ## do something
} else if(&lt;condition2&gt;) {
    ## do something different
} else {
    ## do something different
}</code></pre>
<ul>
<li><code>y &lt;- if(x&gt;3){10} else {0}</code> = slightly different implementation than normal, focus on assigning value</li>
</ul>
</div>
<div id="for" class="section level3">
<h3><code>for</code></h3>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># basic structure</span>
for(i in <span class="dv">1</span>:<span class="dv">10</span>) {
    <span class="co"># print(i)</span>
}

<span class="co"># nested for loops</span>
x &lt;-<span class="st"> </span><span class="kw">matrix</span>(<span class="dv">1</span>:<span class="dv">6</span>, <span class="dv">2</span>, <span class="dv">3</span>)
for(i in <span class="kw">seq_len</span>(<span class="kw">nrow</span>(x))) {
    for(j in <span class="kw">seq_len</span>(<span class="kw">ncol</span>(x))) {
        <span class="co"># print(x[i, j])</span>
    }
}</code></pre>
<ul>
<li><code>for(letter in x)</code> = loop through letter in character vector</li>
<li><code>seq_along(vector)</code> = create a number sequence from 1 to length of the vector</li>
<li><code>seq_len(length)</code> = create a number sequence that starts at 1 and ends at length specified</li>
</ul>
</div>
<div id="while" class="section level3">
<h3><code>while</code></h3>
<pre class="sourceCode r"><code class="sourceCode r">count &lt;-<span class="st"> </span><span class="dv">0</span>
while(count &lt;<span class="st"> </span><span class="dv">10</span>) {
    <span class="co"># print(count)</span>
    count &lt;-<span class="st"> </span>count +<span class="st"> </span><span class="dv">1</span>
}</code></pre>
<ul>
<li>conditions can be combined with logical operators</li>
</ul>
</div>
<div id="repeat-and-break" class="section level3">
<h3><code>repeat</code> and <code>break</code></h3>
<ul>
<li><code>repeat</code> initiates an infinite loop</li>
<li>not commonly used in statistical applications but they do have their uses</li>
<li>The only way to exit a <code>repeat</code> loop is to call <code>break</code></li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r">x0 &lt;-<span class="st"> </span><span class="dv">1</span>
tol &lt;-<span class="st"> </span><span class="fl">1e-8</span>
repeat {
    x1 &lt;-<span class="st"> </span><span class="kw">computeEstimate</span>()
    if(<span class="kw">abs</span>(x1 -<span class="st"> </span>x0) &lt;<span class="st"> </span>tol) {
        break
    } else {
        x0 &lt;-<span class="st"> </span>x1 <span class="co"># requires algorithm to converge</span>
    }
}</code></pre>
<ul>
<li><em><strong>Note</strong>: The above loop is a bit dangerous because there’s no guarantee it will stop </em>
<ul>
<li>Better to set a hard limit on the number of iterations (e.g. using a <code>for</code> loop) and then report whether convergence was achieved or not.</li>
</ul></li>
</ul>
</div>
<div id="next-and-return" class="section level3">
<h3><code>next</code> and <code>return</code></h3>
<ul>
<li><code>next</code> = (no parentheses) skips an element, to continue to the next iteration</li>
<li><code>return</code> = signals that a function should exit and return a given value</li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r">for(i in <span class="dv">1</span>:<span class="dv">100</span>) {
    if(i &lt;=<span class="st"> </span><span class="dv">20</span>) {
        ## Skip the first 20 iterations
        next
    }
    ## Do something here
}</code></pre>
</div>
</div>
<div id="functions" class="section level2">
<h2>Functions</h2>
<ul>
<li><code>name &lt;- function(arg1, arg2, …){ }</code>
<ul>
<li>inputs can be specified with default values by <code>arg1 = 10</code></li>
<li>it is possible to define an argument to <code>NULL</code></li>
<li>returns <strong>last expression</strong> of function</li>
<li>many functions have <code>na.rm</code>, can be set to <code>TRUE</code> to remove <code>NA</code> values from calculation</li>
</ul></li>
<li><p>structure</p>
<pre class="sourceCode r"><code class="sourceCode r">f &lt;-<span class="st"> </span>function(&lt;arguments&gt;) {
## Do something interesting
}</code></pre></li>
<li>function are first class object and can be <strong>treated like other objects</strong> (pass into other functions)
<ul>
<li>functions can be nested, so that you can define a function inside of another function</li>
</ul></li>
<li>function have named arguments (i.e. <code>x = mydata</code>) which can be used to specifiy <strong>default values</strong>
<ul>
<li><code>sd(x = mydata)</code> (matching by name)</li>
</ul></li>
<li>formal arguments = arguments included in the functional definition
<ul>
<li><code>formals()</code> = returns all formal arguments</li>
<li>not all functional call specifies all arguments, some can be missing and may have default values</li>
<li><code>args()</code> = return all arguments you can specify</li>
<li>multiple arguments inputted in random orders (R performs positional matching) <span class="math">\(\rightarrow\)</span> not recommended</li>
<li>argument matching order: exact <span class="math">\(\rightarrow\)</span> partial <span class="math">\(\rightarrow\)</span> positional
<ul>
<li><em>partial</em> = instead of typing <code>data = x</code>, use <code>d = x</code></li>
</ul></li>
</ul></li>
<li><strong>Lazy Evaluation</strong>
<ul>
<li>R will evaluate as needed, so everything executes until an error occurs
<ul>
<li><code>f &lt;- function (a, b) {a^2}</code></li>
<li>if b is not used in the function, calling <code>f(5)</code> will not produce an error</li>
</ul></li>
</ul></li>
<li><code>...</code> argument
<ul>
<li>used to extend other functions by representing the rest of the arguments</li>
<li>generic functions use <code>...</code> to pass extra arguments (i.e. mean = 1, sd = 2)</li>
<li>necessary when the number of arguments passed can not be known in advance
<ul>
<li>functions that use <code>...</code> = <code>paste()</code>, <code>cat()</code></li>
</ul></li>
<li><em><strong>Note</strong>: arguments coming after <code>...</code> must be explicitly matched and cannot be partially matched </em></li>
</ul></li>
</ul>
</div>
<div id="scoping" class="section level2">
<h2>Scoping</h2>
<ul>
<li>scoping rules determine how a value is associated with a free variable in a function</li>
<li><strong>free variables</strong> = variables not explicitly defined in the function (not arguments, or local variables - variable defined in the function)</li>
<li>R uses <strong>lexical/static scoping</strong>
<ul>
<li>common alternative = <strong>dynamic scoping</strong></li>
<li><strong>lexical scoping</strong> = values of free vars are searched in the environment in which the function is defined
<ul>
<li>environment = collection of symbol/value pairs (x = 3.14)
<ul>
<li>each package has its own environment</li>
<li>only environment <strong>without</strong> parent environment is the <em>empty environment</em></li>
</ul></li>
</ul></li>
<li><strong>closure/function closure</strong> = function + associated environment</li>
</ul></li>
<li>search order for free variable
<ol style="list-style-type: decimal">
<li>environment where the function is defined</li>
<li>parent environment</li>
<li>… (repeat if multiple parent environments)</li>
<li>top level environment: global environment (worspace) or namespace package</li>
<li>empty environment <span class="math">\(\rightarrow\)</span> produce error</li>
</ol></li>
<li>when a function/variable is called, R searches through the following list to match the first result
<ol style="list-style-type: decimal">
<li><code>.GlobalEnv</code></li>
<li><code>package:stats</code></li>
<li><code>package:graphics</code></li>
<li><code>package:grDeviced</code></li>
<li><code>package:utils</code></li>
<li><code>package:datasets</code></li>
<li><code>package:methods</code></li>
<li><code>Autoloads</code></li>
<li><code>package:base</code></li>
</ol></li>
<li><strong>order matters</strong>
<ul>
<li><code>.GlobalEnv</code> = everything defined in the current workspace</li>
<li>any package that gets loaded with <code>library()</code> gets put in position 2 of the above search list</li>
<li>namespaces are separate for functions and non-functions
<ul>
<li>possible for object c and function c to coexist</li>
</ul></li>
</ul></li>
</ul>
<div id="scoping-example" class="section level3">
<h3>Scoping Example</h3>
<pre class="sourceCode r"><code class="sourceCode r">make.power &lt;-<span class="st"> </span>function(n) {
    pow &lt;-<span class="st"> </span>function(x) {
         x^n
    }
    pow
}
cube &lt;-<span class="st"> </span><span class="kw">make.power</span>(<span class="dv">3</span>)   <span class="co"># defines a function with only n defined (x^3)</span>
square &lt;-<span class="st"> </span><span class="kw">make.power</span>(<span class="dv">2</span>) <span class="co"># defines a function with only n defined (x^2)</span>
<span class="kw">cube</span>(<span class="dv">3</span>)                 <span class="co"># defines x = 3</span></code></pre>
<pre><code>## [1] 27</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">square</span>(<span class="dv">3</span>)               <span class="co"># defines x = 3</span></code></pre>
<pre><code>## [1] 9</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># returns the free variables in the function</span>
<span class="kw">ls</span>(<span class="kw">environment</span>(cube))</code></pre>
<pre><code>## [1] &quot;n&quot;   &quot;pow&quot;</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># retrieves the value of n in the cube function</span>
<span class="kw">get</span>(<span class="st">&quot;n&quot;</span>, <span class="kw">environment</span>(cube))</code></pre>
<pre><code>## [1] 3</code></pre>
</div>
<div id="lexical-vs-dynamic-scoping-example" class="section level3">
<h3>Lexical vs Dynamic Scoping Example</h3>
<pre class="sourceCode r"><code class="sourceCode r">y &lt;-<span class="st"> </span><span class="dv">10</span>
f &lt;-<span class="st"> </span>function(x) {
    y &lt;-<span class="st"> </span><span class="dv">2</span>
    y^<span class="dv">2</span> +<span class="st"> </span><span class="kw">g</span>(x)
}
g &lt;-<span class="st"> </span>function(x) {
    x*y
}</code></pre>
<ul>
<li><strong>Lexical Scoping</strong>
<ol style="list-style-type: decimal">
<li><code>f(3)</code> <span class="math">\(\rightarrow\)</span> calls <code>g(x)</code></li>
<li><code>y</code> isn’t defined locally in <code>g(x)</code> <span class="math">\(\rightarrow\)</span> searches in parent environment (working environment/global workspace)</li>
<li>finds <code>y</code> <span class="math">\(\rightarrow\)</span> <code>y = 10</code></li>
</ol></li>
<li><strong>Dynamic Scoping</strong>
<ol style="list-style-type: decimal">
<li><code>f(3)</code> <span class="math">\(\rightarrow\)</span> calls <code>g(x)</code></li>
<li><code>y</code> isn’t defined locally in <code>g(x)</code> <span class="math">\(\rightarrow\)</span> searches in calling environment (f function)</li>
<li>find <code>y</code> <span class="math">\(\rightarrow\)</span> <code>y &lt;- 2</code></li>
</ol>
<ul>
<li><strong>parent frame</strong> = refers to calling environment in R, environment from which the function was called</li>
</ul></li>
<li><em><strong>Note</strong>: when the defining environment and calling environment is the same, lexical and dynamic scoping produces the same result </em></li>
<li><strong>Consequences of Lexical Scoping</strong>
<ul>
<li>all objects must be carried in memory</li>
<li>all functions carry pointer to their defining environment (memory address)</li>
</ul></li>
</ul>
</div>
<div id="optimization" class="section level3">
<h3>Optimization</h3>
<ul>
<li>optimization routines in R (<code>optim</code>, <code>nlm</code>, <code>optimize</code>) require you to pass a function whose argument is a vector of parameters
<ul>
<li><em><strong>Note</strong>: these functions <strong>minimize</strong>, so use the negative constructs to maximize a normal likelihood </em></li>
</ul></li>
<li><strong>constructor functions</strong> = functions to be fed into the optimization routines</li>
<li><strong><em>example</em></strong></li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># write constructor function</span>
make.NegLogLik &lt;-<span class="st"> </span>function(data, <span class="dt">fixed=</span><span class="kw">c</span>(<span class="ot">FALSE</span>,<span class="ot">FALSE</span>)) {
    params &lt;-<span class="st"> </span>fixed
    function(p) {
         params[!fixed] &lt;-<span class="st"> </span>p
         mu &lt;-<span class="st"> </span>params[<span class="dv">1</span>]
         sigma &lt;-<span class="st"> </span>params[<span class="dv">2</span>]
         a &lt;-<span class="st"> </span>-<span class="fl">0.5</span>*<span class="kw">length</span>(data)*<span class="kw">log</span>(<span class="dv">2</span>*pi*sigma^<span class="dv">2</span>)
         b &lt;-<span class="st"> </span>-<span class="fl">0.5</span>*<span class="kw">sum</span>((data-mu)^<span class="dv">2</span>) /<span class="st"> </span>(sigma^<span class="dv">2</span>)
         -(a +<span class="st"> </span>b)
    }
}
<span class="co"># initialize seed and print function</span>
<span class="kw">set.seed</span>(<span class="dv">1</span>); normals &lt;-<span class="st"> </span><span class="kw">rnorm</span>(<span class="dv">100</span>, <span class="dv">1</span>, <span class="dv">2</span>)
nLL &lt;-<span class="st"> </span><span class="kw">make.NegLogLik</span>(normals); nLL</code></pre>
<pre><code>## function(p) {
##          params[!fixed] &lt;- p
##          mu &lt;- params[1]
##          sigma &lt;- params[2]
##          a &lt;- -0.5*length(data)*log(2*pi*sigma^2)
##          b &lt;- -0.5*sum((data-mu)^2) / (sigma^2)
##          -(a + b)
##     }
## &lt;environment: 0x7ff878f72bb8&gt;</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Estimating Prameters</span>
<span class="kw">optim</span>(<span class="kw">c</span>(<span class="dt">mu =</span> <span class="dv">0</span>, <span class="dt">sigma =</span> <span class="dv">1</span>), nLL)$par</code></pre>
<pre><code>##       mu    sigma 
## 1.218239 1.787343</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Fixing sigma = 2</span>
nLL &lt;-<span class="st"> </span><span class="kw">make.NegLogLik</span>(normals, <span class="kw">c</span>(<span class="ot">FALSE</span>, <span class="dv">2</span>))
<span class="kw">optimize</span>(nLL, <span class="kw">c</span>(-<span class="dv">1</span>, <span class="dv">3</span>))$minimum</code></pre>
<pre><code>## [1] 1.217775</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Fixing mu = 1</span>
nLL &lt;-<span class="st"> </span><span class="kw">make.NegLogLik</span>(normals, <span class="kw">c</span>(<span class="dv">1</span>, <span class="ot">FALSE</span>))
<span class="kw">optimize</span>(nLL, <span class="kw">c</span>(<span class="fl">1e-6</span>, <span class="dv">10</span>))$minimum</code></pre>
<pre><code>## [1] 1.800596</code></pre>
</div>
</div>
<div id="debugging" class="section level2">
<h2>Debugging</h2>
<ul>
<li><code>message</code>: generic notification/diagnostic message, execution continues
<ul>
<li><code>message()</code> = generate message</li>
</ul></li>
<li><code>warning</code>: something’s wrong but not fatal, execution continues
<ul>
<li><code>warning()</code> = generate warning</li>
</ul></li>
<li><code>error</code>: fatal problem occurred, execution stops
<ul>
<li><code>stop()</code> = generate error</li>
</ul></li>
<li><code>condition</code>: generic concept for indicating something unexpected can occur</li>
<li><code>invisible()</code> = suppresses auto printing</li>
<li><em><strong>Note</strong>: random number generator must be controlled to reproduce problems (<code>set.seed</code> to pinpoint problem) </em></li>
<li><code>traceback</code>: prints out function call stack after error occurs
<ul>
<li>must be called right after error</li>
</ul></li>
<li><code>debug</code>: flags function for debug mode, allows to step through function one line at a time
<ul>
<li><code>debug(function)</code> = enter debug mode</li>
</ul></li>
<li><code>browser</code>: suspends the execution of function wherever its placed
<ul>
<li>embedded in code and when the code is run, the browser comes up</li>
</ul></li>
<li><code>trace</code>: allows inserting debugging code into a function at specific places</li>
<li><code>recover</code>: error handler, freezes at point of error
<ul>
<li><code>options(error = recover)</code> = instead of console, brings up menu (similar to <code>browser</code>)</li>
</ul></li>
</ul>
</div>
<div id="r-profiler" class="section level2">
<h2>R Profiler</h2>
<ul>
<li>optimizing code cannot be done without performance analysis and profiling</li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># system.time example</span>
<span class="kw">system.time</span>({
    n &lt;-<span class="st"> </span><span class="dv">1000</span>
    r &lt;-<span class="st"> </span><span class="kw">numeric</span>(n)
    for (i in <span class="dv">1</span>:n) {
        x &lt;-<span class="st"> </span><span class="kw">rnorm</span>(n)
        r[i] &lt;-<span class="st"> </span><span class="kw">mean</span>(x)
    }
})</code></pre>
<pre><code>##    user  system elapsed 
##   0.155   0.004   0.191</code></pre>
<ul>
<li><code>system.time(expression)</code>
<ul>
<li>takes R expression, returns amount of time needed to execute (assuming you know where)</li>
<li>computes time (in sec) <span class="math">\(\rightarrow\)</span> gives time until error if error occurs</li>
<li>can wrap multiple lines of code with <code>{}</code></li>
<li>returns object of class <code>proc_time</code>
<ul>
<li><strong>user time</strong> = time computer experience</li>
<li><strong>elapsed time</strong> = time user experience</li>
<li>usually close for standard computation
<ul>
<li><strong><em>elapse &gt; user</em></strong> = CPU wait around other processes in the background (read webpage)</li>
<li><strong><em>elapsed &lt; user</em></strong> = multiple processor/core (use multi-threaded libraries)</li>
</ul></li>
</ul></li>
<li><em><strong>Note</strong>: R doesn’t multi-thread (performing multiple calculations at the same time) with basic package </em>
<ul>
<li>Basic Linear Algebra Standard [BLAS] libraries do, prediction, regression routines, matrix</li>
<li>i.e. <code>vecLib</code>/Accelerate, <code>ATLAS</code>, <code>ACML</code>, <code>MKL</code></li>
</ul></li>
</ul></li>
<li><code>Rprof()</code> = useful for complex code only
<ul>
<li>keeps track of functional call stack at regular intervals and tabulates how much time is spent in each function</li>
<li>default sampling interval = 0.02 second</li>
<li>calling <code>Rprof()</code> generates <code>Rprof.out</code> file by default
<ul>
<li><code>Rprof(&quot;output.out&quot;)</code> = specify the output file</li>
</ul></li>
<li><em><strong>Note</strong>: should NOT be used with <code>system.time()</code> </em></li>
</ul></li>
<li><code>summaryRprof()</code> = summarizes <code>Rprof()</code> output, 2 methods for normalizing data
<ul>
<li>loads the <code>Rprof.out</code> file by default, can specify output file <code>summaryRprof(&quot;output.out&quot;)</code></li>
<li><code>by.total</code> = divide time spent in each function by total run time</li>
<li><code>by.self</code> = first subtracts out time spent in functions above in call stack, and calculates ratio to total</li>
<li><code>$sample.interval</code> = 0.02 <span class="math">\(\rightarrow\)</span> interval</li>
<li><code>$sampling.time</code> = 7.41 <span class="math">\(\rightarrow\)</span> seconds, elapsed time
<ul>
<li><em><strong>Note</strong>: generally user spends all time at top level function (i.e. <code>lm()</code>), but the function simply calls helper functions to do work so it is not useful to know about the top level function times </em></li>
</ul></li>
<li><em><strong>Note</strong>: <code>by.self</code> = more useful as it focuses on each individual call/function </em></li>
<li><em><strong>Note</strong>: R must be compiled with profiles support (generally the case) </em></li>
</ul></li>
<li>good to break code into functions so profilers can give useful information about where time is spent</li>
<li>C/FORTRAN code is not profiled</li>
</ul>
<div id="miscellaneous" class="section level3">
<h3>Miscellaneous</h3>
<ul>
<li><code>unlist(rss)</code> = converts a list object into data frame/vector</li>
<li><code>ls(&quot;package:elasticnet&quot;)</code> = list methods in package</li>
</ul>
</div>
</div>


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