data:image/png;base64,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Creates/Sets a cloud variable. (Once you have set the Cloud ID, you can use this block.)
gets a cloud variable
Do this first. Set the Cloud ID to whatever you want.
cloudID//xhr_request(mth, url, dta, hdrs)GETping?user=AnyconnectionkeepaliveNonedeletes a cloud variable, making it always return "None" until set again
an ill-formatted JSON containing all the variables and their values experimental
the only block you can run without setting the cloud ID. gets information about the computer of the user
Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.
ca:ordena _ segons criteri _ The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.
ca:associació _ _ This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.
ca:_ per cada _ de _ _
1Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation). Will not work on circular lists.
ca:notació textual de _ ( )SENTENCE is the main constructor for sentences, represented as lists of words. It takes zero or more inputs, each of which can be either a list or a text string. If a list, the input is assumed to be a list of words. If a text string, it is converted to a list of words using SENTENCE→LIST. Then all the lists of words are appended to form a new list of words. If the inputs are lists of lists rather than lists of words, SENTENCE, like APPEND, does only one level of flattening, reporting a list of all the items of all the input lists.
ca:frase _ ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.
The identity function reports its input.
Takes as input a function of N inputs and N lists. The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)
ca:multi-mapeja _ sobre _ Takes a sentence in text string form and reports the sentence as a list of its words.
de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _
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qUpf6j+tBEtRhiLDCXFq36jJywCHYsYc3yIoMYOyFg31EWAg5F6sP4DXYGuUq/ah01eK9TQ1q6drH2CZeuXUzXtG7eJsvHxSZp/I4Iaig6/o1NWiBA9hM7EXDG3On1St3+HRQH6uLoX9TBAV+8MDB9OKwM9605pAmYg5ZM5eX0G0d5szkKJsl0OdPovqLdaL/T4xaE5bW9oQxbTMaHFTei3BG1jaMmfJSMg1H8td08nsZYf6iCj2r9F3wEbDduW6+Pd5iR9GXrlKCtKsqZj1M59duJVLIXzqL9jhwFvkJFhXfu35E+m7qUnnEhcpYvc2FWrUklWrtptV6sIboXu3D+bZKy6FRWFp0+I3rRiElDiWWAccBC4sjm71yDDIMhYLf5YQY9cvvZsmTKK/tevRAwMPbq80cdH306yfJZY4dqP7bkVVYZN8zdZTNXa6x5rprjb8eCj9g5YRHsWPLmIJAMCgFHH1UhYK+SHkvvYSWMlT8LLybKw8p8CyKEkoLvCAqp17Ae2hxl+oNYGbGicCIoJwK2fweSqde6tt5FoV6ncpyUC5dj+tz8/cbt5DaZq2F7m4IhYK/tDWUIYzI+XhS317a74eNUhxO+9r47fVf6neK0fc9Wggmy8TtN6fc/fqd1W9b49SdzXWagkL/feMxZafOCjhePvAh0G6tgCDiY+eFPFr2MYzAEDJNx+w/a0C+XfqaBylJVq1KdUERTf+MUXcxWG7NPiGXA01rFa2CB609XBDuWXmUQ43EnRHSHPFgOHwoBhxPNEMsC6cIPunP5Pk3GbJ6E37Nu61raT4ZjFvBNmVGUrGCgxB5J/Qhd/CXKZ4SHSdELAYNktuzapL+DSTdYUgiVgPVNX89H3fQF/xQefxGfbjtgr+0NcXi0pSGU8fGiuM22c2DZV0eibjwzj2wEImAO/EEfdTCNkhV/5j6nti1YNk/7JBFp30iZRGuUfzvgEaVQCfjk6RP0avFsVtQyyzrL/p1KwJt3btKyDpMxTP3mJRyhyKcTAfPu1hx/+GDx4JIQBGeZ7hy7rgiVgAPJIE5xrJ69Id5HdIcyTm7fCAGHE80Qy2Lz3JwJC7RvlP28iIKGrwyrxjqt3tbKCjtUflgpY0WLwAvz4eAkLwRsb7ZXQovpDti8zYjbAN8uosGdnkgRcKjjEywB2/2eHMQDLAIRMAf+mLi937yrFS9gx9OpbXAFwCwMXyYemLqb12/tl4RDJWCYYV8qmFm7QuDmQMAf6g60Q4rvO+BSyq0Evy92ooGw9aJOnEzQUz6ZSB37trP0CJcDX+2qDSto78E9Ojhrm7J24AkXAQeSQeiyUX3GCgEbAysE7EXKY/kd9ofB54cbsECyMMWx+RNBTwuXz492JR0rI5gM06f1vfqO732OywRs3mbEEPs79hIpAg51fIIlYA4sYyzMIJ5ABMyBP6aoZlMR8W6+RTd/JWRutorUnqSismEibdWwHbWo38o1mjpUAkY7qzauSOs2r9EWni4DO2m/sb8YAHMhYt/dOx1DiosmaG6TeSFHTNQLFjK1mlfXJxrMICzssKFHeFEH8kUg3OadG1VE/lvKp/+sFdAYLgIOJIOQlXaNVVBnPD/THJPxsn8rBBxONEMsi81vmCzmpRwoDuZPKEJEh9qvpLMrGKe7kr0QMB93QH048nC7dsCmEsXxCzxPq4UE34trhzNSBBzq+ARLwKwIne4UDkTAprkaEePw3z72yOPWMSYvO2B+B0p99uez9K4UpvcFkxe7Xu8YEwIerSL4e6qIbVy72KxLE10XIuX9XS4SaAdsBhXFRQLGxS54wnlZCJ8qQLT9v/9GjaL9GBqOK+IuapwJ7tyyG13+7XK0W+VCHUsnOXeSQZTftWUPz9fohqhO49VnQsBxYLjMA/lmBDOahqjouep8IR67ec6uYJzuSvZCwExsrLwiQcBvq0hePL3V2Ve3e64jRcChjk+oBOx0p3AwBDxqynB9Lru+ig1wS9phbxsWb9v3bleR7Neso11jpo5UyT/6+r3eMVSljbFmXyWujxw4ul+0u8+dpqYbAXPkrxmJGxcJGP55POHMTDZEHbXauH0DFVeXb2Ch7nQRC598wGInjzq+FttBWE4yiL4XzF3I8zW6cUA1x3oThIBjHeLAFfAhdbyJM3jjB022PmLFgh/sSRiCOWZh7pDcvmPl5fVYT6g+YH/HkPwlmjCVhnkfttf2Bh4J5zdCHR8vBOy17W4E7O8IiHlm3N4ze9t+Utdxwtd9/fo1fZwF57W/UEeccB7c3/WBMSFgxpUtP/bsX14J2LwLume73lYihGDmh5coaDNC236cDG01j52ZyVW4H7AswDKBB8FQ4bhGFBjmKfcaZXvhZX0H9r333KvLfzLNUz6+e5YfPmLGix+8G1MTtBcZ5LvHUR9f5BPqfLyTvhMCjiOjiQhBrF7tV7XxkQI0056EoXO/DvpwPbLZ5FPXOPJFHE6H600C5u/sFxTwRfZeL7YIlYBxvhR+K1z2gEjQ/50+aV3EsXr2etcVMpRNjqJZNU64wefpdBli/SIOFo9QxscLAQPrgpXzatcD98nfpSf2KHFEE+PCFgTA9GrfVzeXL+IwfYCBCJh9icjYgwAhKHS+rME8F2ovJyYEjLKYJPH/gQKw8A7LnFs2pMXTl1t+72Au4vBHwEwwwHhwd2WWV/L3ubrEAke2zHmFG7cq1C+jbzrDWDz3dEafiziw2IJZHw8fB4qp+kGZhdQNeZgTuHTDJOBShcpY12nyneaYb7gtD0FYsDqEg4C9yCBn30J9chf0/x91IeCYzoAwfW+/GYiL5R2S3TSNv8Nval4vx3lRvVxFie/MK/owKfu9P9CKQPZytWOoBAwi7TuyF636YoVPblR/V1EyHu16tdIXleBBXtWYXkXpdfhCGR8vBIz64WLAtYRerqK0EzCIc7Aay1VfrKQrV69Y3QnHVZSQJ/v1o+EmYNPFEigAyyRgez5gXDFZWN2fjd06P8FcRemPgBHAVKVhBb1IelldG4l0gj/89IMOjDQJGDvxRh3q64AoHOXC/edmnm/TghOuBAsY/8YdG+ib1JBaEs//1JWg9us0cUPeZHWbHa6gxBWoFUtWJswlM+FLqIspLzLoFCTnde7dye8JAceR0TUvQjdNNBDuUWrVDL8OX6puNtl+2bw9GQOXyxfD87eBvvOS3IATBJh31fr7TZ9X/u8eaT4SgWMoeAIlYzCVKqwC/F1MkzF4Hf5QxsfLJf6o3wlrt2QMJobcdj7HffTbI/qncCVjcErAYcfLCRd/v+mz31mizn7j4SMzqCtQABbeZ/ky24FvQcAZn8kUzawbTDIGbhfXYWLNfeJEGTAl68QLKvGB6c+1J7Mw/2YGOzqNo1dZNN/DJTptFZEWzVeMCij/qiZgdZ85Wy/46k9TRjhZAwgZBMxticlYBpJBngtoX6C7rUPBIb5+IwQcX0dO2i0I3AEILF2zWJ9xL6OyfM0wsnzdAV27LV0YPG6ANiXzvdVc6YKlc6mRurxn4ZTFFjHflgZJJUEhIAQcFFzysiAgCIQDAZiHYcnAZRBICuDPzxyO+u7UMths3FD5dmEaxwNXxPJ1S7WLyV9CjjsVk/jULyHg+DRa0lZB4A5BAGer2/durdPnIQ+0mebyDunibekGfLvIWoVUlIiJYALGzXhwY3Rt1SMs0da3pTMJsBIh4AQ46NJlQSDSCLBPEP5qEDBSFsoTPALwvcLvDALmuAiUAj9vrldyy5Gf4CG9rV8IAd9WuKUyQUAQEAQEAUEgCgEhYJEEQUAQEAQEAUEgAggIAUcAdKlSEBAEBAFBQBAQAhYZEAQEAUFAEBAEIoCAEHAEQJcqBQFBQBAQBAQBIWCRAUFAEBAEBAFBIAIICAFHAHSpUhAQBAQBQUAQEAIWGRAEBAFBQBAQBCKAgBBwBECXKgUBQUAQEAQEASFgkQFBQBAQBAQBQSACCAgBRwB0qVIQEAQEAUFAEBACFhkQBAQBQUAQEAQigIAQcARAlyoFAUFAEBAEBAEhYJEBQUAQEAQEAUEgAggIAUcAdKlSEBAEBAFBQBAQAhYZEAQEAUFAEBAEIoDAHU/AnPi7XvUGkpw6BgJ28eeLNG3OFCpRsBS9lCVbDEqST8ONQEKS8diWw9jActCY/pT5ueepXLEKfod+8erP6ei3R6hT8y7hFpGgyosr7Qiq0WF++dfLv9LnKxbQz7/+TEmTJKUW77YOcw1RxcVbAoZQB3pAums3raIW3ZrSlkU76YVMWQN9In93QeDrY4cpb/k3aHTfcfR2pXdccbr+13X6ZOHHlEQJbc0KtcKO5+iPRlLRt4pTpmcyW2X/8efvNH3uVHrjlTcpZ/bXwl6nWeD3P5yjWQs+plqV36EnHnsypLpWb1ylvyum+hGOB3hHWsahsCbPmkANazWhBx94MBzdIqex9iqHoTbAK5bByMGDzyen6uXfpnEDJvptVv2279AaJRvn9l0Mtflh+S6utAOdiQ258gLSkPGD6MSpb+nppzIIATsBZhLwxV+idmd6l5v6Eet1IWAvoubtHa+K76dffqIi1fLTU2nS0tKPo4gmXA92PzmKZqU54xdQntfzWcWePneacpfNSV1b9aD36jQPV3WO5XyxbT1ValCOVs9er8j+9ZDqKlglH5VUloT273UK6Xv7R15JIyyVuRSyaccXVKF+Gfpux5mwELDbWHuVw1D76hXLYOQABNylZfeA4w3iO6Nked28TaE2PyzfxZV2oDPhlisvAIH03yiVg0b2HkMlC5X28knI78TbHbDZY56UTrvc9VvWUpVGFW77DvjYiaO0aOVnlOvV3JTvjfwhD1Bc+fDs+TOUrVCWgDtg3o2mfvChsO+A3caZV8kF8xSO9R0wj2tMdsBQyIEsCcGMe6Rk3GwjE9evR/4Mpumu77qNNYg5c94MYcXPbIRXLIORA6/jDeLDM3X4x2HBMNRC4ko70P5wy5UXTDC2uUq/els4444nYJ7I8yd9Tjdv3aIDh/fpMXhIEUTxgiV9zIgwnx468hXt/HI7Xb12Vb+DXY4/n6f9G5SdPWsO2rF3q6rvJhXNX0ITMHxLWM2hXH7w3puvvkkpkqfUP336+SxKneohevyRx2nPgV3a/8DlZc2cVZlETtDBr/e7ti2U9qN8L9/hnTTZH9Ir+Refz+aKI/tO7LhBca7bsobOfn/G6hPMxXZzJd7br8aIx4n9L/BLbd65ycfSwX41mANXbVhhjRVMl/ju3ZqNfObbngO7acPWddS0bnMLc0y2rbs2W76ebC+8TK+9/Drdd+99jnOVx7FauZpWTAHKZZlh2bLXjd/ZvzhobP8oX7rCEY/p88MCZvve7Vb/n3oiLeXP9ZZfc7c/svKCOcb2+IljPjJXvkRFbeZnbFkW0V60qXDeolb/YY366shBWrlhOXVqFuW/NGMFvMiXCba/scZ7ILQ+HftrOeT5gPHOn6tAtLka7Ph61RdOcoC2Aa9NOzZacg4Zrde6drQFA+YJ5MbUR+j3Q6kf9iHgQPKA+j5bvoDKFC1HZ9Tc8qcfnATaazu8jKHpPzfnsF2G3fz49t/9yRXaA5wZP/Qt0GYnUB+4frtF1Yv/3lFZePgxwRBwm0bt6bkMGen02VP0x5XftTJM/9TT1O/9gZYynrtkNu36cocm3rvuSkz//PsPHT56iHq0/cDH52jiumTNItq4bQM9cP8DdO8999Gvv/1KP178gbBjXDRtmVW2nYDRhnPnz1HhfEWoVqU6usgy7xSnK4qg31Wm9Mt//EZ//vkHQYGcOneKXlNklSVjVvrt98t0SdVx4vRJunnzbxrxwWhLEYbSfgjlbEX8l367RNevX7P6ffL0CSpdpKxP4AgUX9mi5VWbi9L3F85pHM+qPtyfIqUmEfhE2XzTs21vy1cMwQbppEiWnJLcl5T+unGdfvvjd3pMLTRa1G9lkd2ps/+jj2ZPpgxpMxC+weOFgDEJqzauSFznOy1rakL8cvVXFv4oq88cqQIAACAASURBVG3PlrRz3w5tPsaiB2MyadZ4euLxJynR/yWiW2rBdOzkcapUqrLup9ODFXmnfu1VGRt0TAHKGDdjNKVVJnfIDB7ITygEDOwmzBij24Yxhjxdu35VY9qgZmPXhaATATOWGJtbt/7RmN/4+2/6W8lMu8YdLZnh8cfC8G/1979u/KX74EbAKOfCjxc0UcDkj4VKIAIOVi69EHAZNT4lCpQguDyA1XenvlP9vKXnM+Y1nlDGl7EMpC/scoD6MFfHTvtQLyoTJUqkxy9FihTUbWBnHwLGeGI+3J34bvXVv2pepKREd92lg36g7HkHjLEZPmEwXVXz8p6779blXVbz9Mq1K9SrfV9dD2S/tNIbTeu20POG8WD9YOJhl+dg2uFFR/Bu9UMVJ5I4cWJL1x78+gA9rdrGutbNjWD/3Z9cQaZ279+ldQ9wCUTAXvScELCHFYPTK/5M0Py3Qd2GKcVaRQstVpVzFs+mTn3b0faleyjzs88TFFbNplWpTtV62nQKJYgBqdemNr2giG9w92HRqkY55eqVVv68klS/RiNdNoR66uxJSrFPoK2Ld7tGXuPb/qP60KadG3Ub8FRrUkmvnCcMmkIZn8mklRsmNYg57RPpaMqw6Vq5QJi27NpE1RpXIuzsC+UtElL7Uefazatp4Oh+1LNdH3o568tWvweN6Uc7FInNn/y5tfsCATeu9R61adxB9wt92H94PzVoV0cvIrBQwWM3uQ0Y3Ze27t5Cw3uN0gsZtH/Z2iXUZUBHWjJjpcYfv3UdEOUTbdukg+OOz22c+fdJgz+iymWq6V1u5YblacHkRQSzNB60NU+5N6i5IvyGbzfW/27SqSE99vBjavHQ1erP4LEDaNvebbTYWDyZA89KZseyvbovfUb0oo3bN/gstgKJsZtJEoEfu/fvpL6dBlC6J9Nb49+2Vyt6IOUD9NHwGY47czsu6FvHPu304oWxBL5QWBirZnVbUquGbXUzYWl5v18Hn/H3136Us3zdUmrVvRkBA/j68biZCkOZVyjP35wGfrUr16WOzd7XcsI7m2I1CtJEJQNVlAyEOr5e9YVdDlBfq+7N6ceff9RyzuOHHerrJXPQoK5DrQUpxnmyWvhNGTbDmnPQG006NaDkapHKBIy52aF3G/qw73jLKoNFReWG5WhIjxF6cczmUszL5u+2svDAWJevV0r7Md+pUtdxSINphxcdsWDpXGrU8V3V3nHad8q6dursKfTB8B606bNt2mphWhmgu/jh36ePnEVli0UtgN3k6s0yOalU4TLUrklHV2uV2elg9Jw/2Qs0t4P9e4LZAdv9wwzywimLqUDuQjRx5ngaN320Is2dPrsmrGhHTRlOx7ediobtCbXqzlkiuwo2Wkm5c+a1/g6lVqxGIdqz8gA9k/5Z63dMxsNHD6ud7xlt8mSzHfvN3HwvZeuUiGaaYpMw+xJDaT8aBv94mkefoFF9xvj0D4ozR9EX6dOxc5WpvpT+mxtxQHGA9HjHab7HO+LeHfrpSFB+oLDS5UxDPNmgWErWKqLw32XtYOyAByLgJdNX6OAslA384TrAYgYP2od28qJo78E9VLR6AWsBxnVBcRWvGX3s+O+sEDjYaPC4AUpJzKTeHftRrldyezrq5oQj4zSgyxC9UDSfhcvnU8P29ejg+m8swjP/bseF+7ZvzaFoWIIksGBAWXhQbtIkyaKNv1k+2gZL0LkLZ/UCkU105pxyU5ShymUgAnbyoQNXKGTszEMd30AyxvrCLgdc3+Sh06KNX+Gq+aletXc1AfM4lyhYOhrmQxUxf/Pt1xYBY26mTpXakmEeE+iD5zJkomE9R+ryns2V1tEnDjywM8aCzv4E2w4vOgKunLJ1S0bznTKms8fPV5H/JVwXV/zeqk/X6wUHHje5QiAjCL7lu22sRYw/8gtGzwkB+0PS4W9edsBuBMxKu2nnxrRN7dLsR2fsJGlWjx1ynnKvUV01uWAi5F3hxJnj6LMVCy1TJ76Bv2fmgul6J5tYmSph6vNKwG7EbCryUNqPdj2Z4xGf1bnZPztRuBHwVGU2bq9W6vvXfq1W/ul8iJpX6LWU8rEf24EZjhUpr579BfEEUo7mGGPRhMXTFwu36npBvg8/+DD1+U8ZcX2t1U6QTVjouxO5mJjYFQKbHbFggVLM8lyWaLEFdpF1wtFf4EcghWD/uz8s7e33N/5oNxaNHyqfOsyliE3488qfQRFwqHIZKgFztHGo4xtIxlhf2HHk+o5uORltEYb5Wyh3YU3APM5subLL1vpt6ywCxtjoo3XZfI/WwURvmqrd5qW/6Otg22Hu4N10hFfs+D3Gkstz+t6NgHGU7+P505Rb5YayRGXS8R95X8/vGoEfjJ4LNN+CpCe/r99RO2D7gKLngYSClTYmCQ7Bux2WdzscP3LSMII/An7R5EmTaz/i2fNn6a3cBala2RoafOxWazWvrhT9vTpI5em0T+tdtl243IjWCwGH2n5M0qHKnFW/RsNoguKVgEF03Qd3sY6gmN8x/vYjYlwZB+swFucP/OxqUvI6ligbhJin3Ou6b3lVEFyVhhXo03HzrB0h18dBQ/bOu13c4qQQOFDpm2+/0T45+IbN2AIvBMx92zB/sw7iM59ACsH+d39Y2tvvb/zRhqHjB+rFJFwUHDQXjKIMVS5DJWBe0IU6vl5lzI6jfUdsjp9JwG7kg/dRhknAGBszWM8s0wwM8kfAbtH2wbbDi47wih2/xy6jUAgY33BczTfHv6Zv/3ecihUoSR1cjvYFo+cCzTchYBsCbgMaDAHDlIhjQ8tmrg7qHCNMm9PnTdWrVASywO9mj6TlIzz2Va8TAV+5eoXmTljo00MnEzReMCdeqO2HLwWmWviKzMhfNkEvVT7a3K9FmdedJjoWF7Vb1NB9X66ws7/H5zkHKh8YdsFuD6wPZZRpzd/5WjeSclMmCMa6pgJYKpWsTPsO7fPx4/P5Qvblep1U/hQt+rp83RJq90FrMnFzImC7QoOM4OgDontB/uYDE3Tn/h1cYwrYbM6LST5Ks3HhtmiBWzBBf6cuGOCxKlW7mDZzThoy1XHhg6NnlUtXpe5tellN8kfA9gVUqHLpb0HihXBCHV+vJGKXA8b886lLdTS2nYDzKBcVFrk8zi0btKGOTTv7vIcyl6xdbM1/mFlfzPwSDeo21K+f0wsedhkMph1edYRX7PgomX0O8PemnvSyMIeumvDxWLVQXOA6R7z2ATjZ55NX3RDKe3fUDthptRdIKHjXDJNM1UYVdQTsO1Xqufoh7SB3G9SZrirS7KYUlNsNQCYJQZmB6OCDwc5xxKShZPqAvzy41/LPcV0Zc6fXvk3zfKDdBxxq+6fN/YhGTR6mfJj9qcCbBX2CsH746Qflf5ps/Ybzl4gOhdkWO3j4Whcsm0cIskI0NoIinIj6fRU1vFuZ4LHbNI9dmVhy0Ax+M60E5juMI0iqhgqU4wWD2wIMiyOQMI4ndG/dy4eMgH+jDvUppepH64btrKC3QJPIHnxjfx+r8rcq5SYnRczvQrFmVBH5Q7oPt+INOAhtvzpmNlJhaQbhIQgrj1oEdW7RzbF5S1Yvorqta1m+Nw4efFoF7OGyDw7cg2Jp2e09HcBTJF8xXRaCU5op9wvKxg1jdjcBk0DfTiqK/b8x36J8fbDomCZ/Jjz7AipUuXQbayf5YlBMk2uo4+tVX9jlAO1F0BNH+3IkNqwjdVq+rU3J8MVinFt0fU9b5kb1GauCkl6y9MEQFQC4Qh3lYv885lbfkb2oVYO2am6VdYwv8Hcu2p8JOph2eNURbmeonRbI0GnABAt/DtZiuTL1uJtcmRMBfVm0cqF2g+1bc9gRJ699QLn2+RRIJ8Tk73c8AQcSCtMMgnO4uOEGk+iuRHdZuPo7XwZfI6L8cKb4wfv//xV8OIoCnyCfKe2togAPq0mXVZkn4XNM91R6+lYdeQEBc0APTFXYhdv9oJhIOBZiErDTxRihtB+KaszUkfpYUJL71LEJdSQCxHbh4nnlD69tkRZPIrTjpczZtA+bj1JlSBdFzHye2b4iZz/izZs3KbUKnODjOrAWwC/GCxeQ15RPJ9LD6jYzHHdBW/BORbUoYmJop8jorAoGAo6pFN64o5XbZl+AgdRfKfaStkjMHD072i6C/fKo71915Ix9wW7HiCAQrHiZfOCLMs8i8rEhPibiNDnnLP5UX9uYC2fAVR/5+kas5IdPHELJVFBUkiRJdHvQ/3NKiZtHh+xl2tuEv+PMNGIOEOWdPFkKdcwlEd24cYPuuecedfSrtYUFlNdoNf4n1Rnzxx9No90keNjEiWN2Uz6ZqOUAbcVxuwcfSE2NVbSr6fJhwkt1fyp6Nv1z2ozOV22GIpdog9NYByIc88rHUMbXq75wwhyuqPkqEjidivN45KFH9dg9rI5rjZoygp7PmMWav5DzkWrRi7FIozGP0gc4yw68ef5DfieoeBKMTVoVW4GjcvxUK1dDL6zcZJ8XKv6uwPTaDq86wgkTtMNpgYwI7M+UZSefOuMOvQm5QpwBSNScx25yhbP+fKcCH7HDUa0e6vij0+O1D05zPCYEG+jbO4KA/V3Q7na5uts3eP/wsUPWQXoA6EbAIJa+Iz6glCnv9yFfCMSfV67Q18cP04DOg7XyMi/3RplQUAhqweUFrIDdLkF3usw9HO1n4bAfxne6/IHrg2L+WZ29NC8JsV+o4RblC4V4XFkaeOLYCRjtAaaIKIU/Ho+dgEFSUJLmJen+xv+jTyfphZDbbWT2+lCnPwK2y5OdgL1cnAG8V32xwpIx8/5k+0UOkBOnC0vMie0m4/idL3Rxco1wGXxE6duTx6xxZQLG31ZvXGmNB/r3prIozFXH+PisMJdjXkhiEjD+Hsy84vKCHWuneRLT8eW22GXMCXP7RQ+MOaLHkyVN5hNfYl4QwvoA/8Vizow3cRobvMcE7E/2vSSB8NoOLzoiGF1rnwOQq6yZXtT60J7wxUmuTAJm/ALNEy99YFlFO25HAp87goADrTJi6++r1CC1VOchdy7f52N+xqQ5rS7PgE9vxqhP9C01CeWxm8YTSr+ln4KAICAIBIuAEHCwiBnvw1fQvndr+mTsPHWZRGbLBMsrrY592mrTZ0JK38dnoP0FIcUAcvlUEBAEBIE7BgEh4BgMJUxkMPMkuS8JJU2aVPvI8Dzy8KP6GkncamMGC8WgqnjxKXa/nfq2V77Gv3TEMfuE40XjpZGCgCAgCNxmBISAYwg4SHi7urqQkwygOPjPcL0iX0cXwyrizecgYARi4Ho5jgKNN42XhgoCgoAgcJsREAK+zYBLdYKAICAICAKCABAQAhY5EAQEAUFAEBAEIoCAEHAEQJcqBQFBQBAQBAQBIWCRAUFAEBAEBAFBIAIICAFHAHSpUhAQBAQBQUAQEAIWGRAEBAFBQBAQBCKAgBBwBECXKgWBmCDgduVfTMq0f+vlGsNw1pcQyrod4xZTHONCG2OrDXFRpoWAYyqx8n3ICOA+V2TgyfRM5pDLiMmHfMds3Wr149WlIW6X3scEC/u3TglAwlm+l7JwzzYeTurA3yC5A56aKiNWpB5/dzBzm3AP9awFH1Otyu/oZCKxOW7hkuXYaKPbPMeNgUhKYt6FDuxiow0o16tMhwtLL7IpBOwFJXkn7Ahwurk54xfoVIuRePqN6k0zVC5n5M1N89gTkWhCSHXGloIyG+NVWYXUAY8fIRViyYKldEpF88Ed60iYsfTjKIKOxOMvCxG3B5nVKjUoZ+W4js1xC5csh7uN/uY5pxrkbHCMW7jbwOV6lelwYelFLoWAvaAk74QdAbe8q2GvyE+B2GEhO1O4dsB8ExgyNTWt2zzWdtVuKfPCiR0SmONGNzMFZjjL91KWW6J57KhSKwKO5A7YCwEj0xDSi/IOODbHLVyyjAQzNZtV88n17GWs3N7xN8+ZaO3pV2MLJ68yHS4sveAWbwkY+U53qCsg7SmjYD5AIvZWKmk8J2w3U265pWVz8w+Yv3NKwZeyZKdr16/p+vFwajAnwLECXLdljXVVpT29HHJ+zlsyh55Mk1Z/zun6sMLPmf11n0QO7BtBui4zZaJbyrpAdaM+pEDEk031ybxS06lMtHX73u1W/lt76j2Y3D5bvkBnfzrz/Rk6qJLLI/WgvS+oE+M3bc6UqPFT+Xg5/Z0XofWXfs+eRsxMZYayzVSDnEqQ078Fg4UdW5SbPHkK2r5H7aZVjlc3AranrHMaZ7QTWO8/vN/CEL+xqY6V2vxJn9PNW7es8UBZyEvNuZMZSy/yb8cduanxmATste34DvjsV6n1OFcy5h1yN+PB+GH3w2kp8Rvk7U3kR06eUv8d4zhobP+o1HTPZ9PfYZyAy9K1S6Kl9wskm1wvy4fZNi8pJO348Bh8OnauwryUo9hyP6uVq6mTxDuRkTmnzaQtwY5ZTGTZbDzGC5aHWWPm0OXfL1t6C/Mz7+v5raxvPA7mFbyQP1iz2KXkb55Dr351JGqcOzXropvAaQjdSDsQJpDPTTs2+uTnNlPJQqavXL1CXVv2sNJ0ol68w3nb8W8nLPHdk48/pXK4R6Xs9Jfe01EYXH6MtwSMwa3XujZNHjqNKpWqYnWvbc+WtHPfDtqwYIsmYCj6DVvXUjKVlPwfpaxu3bpJZ8+fpQzpn/FJTO5mnjB/v3DxAuWvkEuRYnYq/lYJ+uXSL7peNwLGPdEfzZ5M96dIqer9RyeZv/H33/T3zb+tBOucND6j8oNWKllZ5RH+ky799qvOJwxCa92wnc4Hi4dXjH069qfEiRPT5d8u06/q3R8v/kAZ0mWgNo3aW7suL3WjTAglcu++37wrXbh4Xpd58ZeLBGHPn6sAdfjP/AfhHj5hMF1VCw8kvkYS8cu/XaIr164QJ5/H5C39TnFFPi0oQ9oM9JPKG4y+nDh9km6qPvd7f6C+IzqmBOxmorL/DuU2bsZoSqsWN3fdlVhjaBJw086Nac6iT6wE6F6xwEIMZqoUKtlGokRRSdIxXlt3b9Y4li1W3nUOImn7ri936HagTf/8+w8dPnpIJRL/wFJcKH/CjDE6qful3y8puf1Hl2cnYIz3cxky0umzp+iPK79r4gK+wJkTYXiVf3uD7QSM8Z+tfK+X1JhfVzLAbT95+gSVLlLWJ9ctyx5kAESMxx8Bo+3nzp+jwvmKUK1KdQIScJ5yb9Ar2V61FgeMF/oMeYNsXrt+VefgblCzsbWIZfn4sO84PX8Yt4NfH6CnVVtN3AIpUSaJDfM368WD04P6OvVrr0zQG+iFTFmjETDmd8c+7TTRcd5wlINxnDRrPD3x+JOU6P8SaZ117ORxpecqU9mizrIVqizb2839ateko5ZR1jEY0xcyvmDpGCcChj78+defaGDXoXrBEU4C9oIJ5tbu/bu0voUM4LET8JHj3yjd24F+VDoOCXPQrzPnzyg925aK5Cumv3HC8suDexVftKK//r6hv4vSaye0iwSbiFCfeEvAmFylaxfTQoqdAB4oiddL5qD6NRpQqwZtNbjNujRRQluOqpSprldvEBwEcfQZ0YvmTFD+x9ei/I8gWii07m16+WCJ3wHwsJ4jdflpsj+kB3V4r1F+g4dQDyYXFE/bJh30roSTazdoV4ea1W2pd+lcN5TYgC6DrfeQT7htr1Y609K0ER9rhcoKZO7EhfRGjlz6N+Awf+kc3Z+Jgz+iUoXL6D56rZuFDX7Qp9M+rcuE0uw6sJPepXy5+iv929rNq6lD7zb0Yd/x1moRk6Jyw3I0pMcIrYBB2vDPNa71HjV/t5VPn8vXK0Uje4+hd6rU1X2OiQmacTi65aSe6Pzw73tWHqBn0j+rMdm4fQMtmrbM0RwMklmjzNDn9kWRhFcsoFh6DO5K8yZ9phNu4MF4VW1U0ZI9pwkJeazZtCrVqVpPm08Z63ptaivlllVnkMIzbe5HtGL9MurbaYBjQg/GblC3YXrxyXI9Z/FslY2qHW1fukcnAwlG/u3ttRMwxn/g6H7Us10fejnry1bbB43pRzu+3E7zJ39ujXfXAVE+W5b7QMoJ8tp/VB/atHOjbjs/biZo/F69/Ns0bsBE/eqQ8YOU4t3pgxdkEfPngZQP0EfDZ+jF+IKlc6lRx3eVDI+jkoVKW7hNnT2FPhjegzZ9to1e/G+3HajNXuSX5XHHsr1aV5jfPK6sJIPVDv+QWnxhB5jvjfy6SmDRpFNDeuzhx9SOv6uWb/w2eOwA2qYsbovDLMv2fnIbgVE5tZB00zFO+PD8hz5GQpZA89zNBG3H1ismMDFD/2HxwNZPs52Q6TPnTtNYJTecKIfnJCyA4wdN1q/b9QL+DQLm+Y6ysXgaPmGIsm6upcXTl4ecfCbeEjCAwu4GE3fXin168h/97giVrVOC1sz5QgMyceZ4HWSzevZ6HwWMAS1WoxAVzFNYT1o8/iY7dpzN6rW03jP/7TZR9x7cQ0WrF6B9aw5FG5xW3ZtrYji4/hv9OQTHbAuXid0ZSIEVA/tG8N1T/5msedJiV4CV+IxRsyiYuocq5dX/wz7WLpDr5smxf+3XSljTUZVGFSh1qtQ0YdAUny4D7+cyZNILFCwGns2Vlkaryft2pSgTJj/AFztjxtuLAnPD1m3i8u+n95zX4z143AC1aJlJvTv2o1yv5PYha55omJDr5m3SVXnFot0HrbWZa73a/ZhPGbX7hyUDWDg9kMdx00fT1sU7feRx7LQPadSU4XR82ymNIRaWUCKmZccszw07/n3hlMVUIHehoOTf3l47AWP80zz6BI3qM8bnVSiwHEVfJDbFYlFWslYR1cddfpUSFNjho4fVzveMNumxOdL0B/qbk11adtfBWcDrjVI51OJ1SDS8Fi6fTw3b19PzDPNl667NVLZuyWj+TcZt9vj5KuK6hJvY+fzuRX5ZHjnIiL9ZMn0Fbdi2Tlvialeua5EvKuC5y4sorhQ7u+I1CxEvLp3GKxRZtpfj1i/oTFPH4Dt2SZz/8XttRcMDt4E5/0PxAdu/8YoJTOdYjLZ8t421SDT75+RWYT2AnTEWSk56AQv5BcvmWfqaywTfQHebGwtPwmO8FK8JGJO4QKU81LlFN71LhYL75vjXlpIAeV3/65pjIIl9MDDZeVKbINqVgJtSsAPPq217gAHesxOIm2CwP4YVgz9hrtakEh1TAnFg3TfWSt9L3YHIjJXHkzkeoTdeeZNyZosyh/OD3aAZrONFaeJbLwrMTZjtio3fs/cFK3KQG0gCi4Qsz2Xx8ZHacfeKBcgS5S6YvFgRbia92kZd2AHDlOxGnJDHbbu3RAseMsmHdxFbFu3UZkunJxABQ8HDFxeM/DspdPzGPmCM/yBlWrQvrPCOOeb+5J7rgF9+5oLplPaJdJRYmeH/UvmjgyVgVvL+8LLj5BU3L0rUi/za5Ym/KV+8Iq3ZtErt4CdFc1cwfjCJshkV7YFbCDETbnIRqizb++pVx4CQJ8wcRxd+OE/PZniO/vjjD11UbBCwV0zgu/14/jTl5ruhLA6ZdAyN6bf2R8Dm4sUrlmwRNTcWXmTHfCdeEzA6AlPr3q/2aNNMuXqllZIYooHHw073uRMWRsPFiYBNsxZ/ECoB8+Q7f+DnaOYQrwTMq15WqP4mB3aiCGrBbi6YugORDpM4cDADYkxAzQAqfwTsdWUcSIjtpj03AsbvWKSt2rCCvvn2G71rBamxr8/rRLNjBEJvr8zxqe5PpXZWT/n4HLu17hVtp83tYx8zzPVOD4KMvPgWAxEJK+lg5D8QAWNchypXQ/0aDaM13Rxzf7KHD6G0ajWvrjC7V5te2e3hJIdeZMkfXsESsL9FTzBE5SaP3J5qZWvogMc3lSsLY27mzmYcODDJXq896NSULfw/L5i8zutg+mXqGAS6NunUQG9+cJafA//sYxaOHXAwmHDgGzZi3/7vOBUrUNKKY/FHwCZ2XvUCFiHpcqZx3LgF0mH893hPwAD8rUq5aebo2cokPYZgfmP7P5sOvli41YreQ8fZBI3gKfiK8cCUgGhIO1nbfcP4txcTNJuL4Vs1oxtRF0zQ3536lpbPXK3rdhMM3mltXbzbNYoS38Nnm6fca9pMjv4EU7fXiQrzzouZX6JB3YY6+ldYoLwoTbzrhWjchJj7Zw+AcfMNM0bL1y0hmI+XzlhJuV/Lq3E3V75esYD8ILbgxedfsgKkvETSwiSOYynL1LjDVOb08Fi2btSOmtZp4fiOVwIORv7tFUHZPpT6YUuhY35AjmFuM/1rbIJmTLHDL6O+hduHF8Jm2WeVyTlboSw6boP9hPi7GwE7kb5prUJ5iDvAnLQHw8AE3bl/B2UO9z9/vOxmgyEqftfNBL3q0/VK/g/RyMnDo5Ewn41lv7FXRR6qLHvtl13HdBvUmXYq3z9k2ZQHNwJ2ClZzW6zxxoMXRKFgArmc8PFY+mzFAmv8gyFgL3qBZZ1l3+tYme/FewLGirpkraI6WKm28jtiF8vPngO7qEG7etSoVhMdhMUBDQjCmjFvGn06bp61+oRiXrd5jeVQR7k/qKhn+LfKl6hoKSIzKMsf4BBYBNc8rXzR8FVhlctBWC27vacDlzjqDoLxs4oYnj7qE62Y+b33VQRlcbWCg1nTJC0oLxAIBB/1jJ46kpasXmS1PZi6oaRHTBrq6gNmEzR8IH1H9tIEX6pwWcddHurNnDeDqw/YNPHzAX0ozhoqIIknMX6fu/hTv+c8T5z6jnKWyK5Wnt2oef3W+lv4AmEWRl/cdjK8WPt86lId4W0PtvCKBerPX/FNWjFrrWWC9jL52EyNaNZ3qtRz9ZEOGN2Xlq5ZrAOeEAFvJ+tABMwWk2Dk397+jLnTazM276gQGDZq8jDlT+9PBd4s6BOE9cNPP6jYgMn6Nw6YQXnmDpfL53FHpGzl0lWjjZ3pNsGiL6OK8h7SfbiPz9wMwsJcQdDXfnXkbeQHo31cAgjCvFMSzQAAIABJREFUyqPmCXZpeNzOl5q+WfSZb7DydzTOC2nbLTVm/QgSRFS5nYQhx4061KeUCkucgGAXRyD5ClWW7eVyG3EMCXEpbjqGF5OLpi3XusDUl6aly22eo14mVvtiDbqsbuta1jwOBRO0Z9HKhdpStW/NYd3GYEzQZnAmj+OhL45aO33M5d7De2r3CQfJBhojp7/HewJGpxA8M1IpBw7G4o7y0QmsqLCaT540uTZ9/agUxhvqzKFpCkSU5wAV5ZlJ+QpBljjTmUIdXRqmjt6YRx683qaCNuAICHxdiGhMrspKdFciunHjBt1zzz0+R6DYNPl2xdr6GBKOK1348QIlTZqM2jZubw06T3pEa99333169/Xn1T91BC6UorkDCKZu7Mrs/mK78mCfz8lTJyitCsrC8Qh++BgWt88tCMtu4m+nFOTZC2cpqzILp7r/QX1OFGbiqo0rqgVV0mhBD1wfR3kfV2fy8ud6S5uAH3n4UQIxIsiJCZjP8/F3fDSFj00Bd7Pv9n/zd3YssOsqXbs4vfLSq0pW0vv46qC0X82WM9pZXC4Liz/ckIRjL3clusvC0DwuAaU1bOJgdXTrps+RCj4nGYhIJqlo+MplqmmlCCXvRf7tysEu51CCY9RC77c/fldjc5+aGym1csbRtZoVakc7rz7l04n0sDrfDVnGuzgNUFEtPGCq7K0ijg8fO6zHHWOXTmH4rTpmg8WTeSvSHLUQw1WFuXA+WJXBx7DsbcNuZ/jEIZQsSTJKkiSJLhP1nVPuh3aNO1qLRR5H+wKN5ZZx27ZH7eLfKWGdfnBSnPwNn2O3vwPTsr0++78xPggSxcIPZumurXvqxRb7yIHfv+qYGvuCzSN09vpClWV7OdxGBAFCT7GOQcCReeQGBNR14Ps6mhjn+KEvn1LnZLsP7qICy+r43F7mNM9RLxMrXDnPpn9OB5Hi2lGncfKCCS5o4bPlfOQTRyZ7tO2tu+l2EYdT1LOpF7g9CK7kY3V85Oq9Os2tY6IJloAB0Gw1WZc5XE3Hu0m3SyFMsjYPcUPYEbhzThFEMkWETNbBXuiNXRd2Iv4Ob/MOGATFB9th0iyct6jPTpMnPY6f4CwmhA2KBsFRMIfaQ++91I0gKkQw8mUUjIfTZReMJR9GtxOwv/txnXCD4gSZMDYgYOw+6rR8W13kcVpHBbs95rd4B8SHKF34pthPZidgu5nY3nevWCAYBrLyvArqMh+cyUa7YPXADs/tAbbmRSp4zyRgVk5QOnwxC35jAna7iMQJf6/yb2+r03hBYaJNfLmGP7M7xhHRqxwdaxIwX2iDcccDxfv4I4/rSxnMe4Hx3qovVlhzgv/m1DbUhzHh+eN0kYxX3DCGc9WRLvuYmBgx1m5jjPlkr8+pfiwmp8+dqotBgBtbO+z44e/+CDhUWba3n9sI/Fj23C6d4EuPuG1wOUCuU6d6yOf+bqd5zvWaF+UwAbuNUyBMTAJmuTItSG66OxB2TMCz1bW5LPv2S0dcJ3uAP9wRO2CsIHFpQePa74WKQ0S/czON2BvlxewV0Y6EoXIotppNq/gET4Sh2LAWAR8mIh/t8gbCGKLOay5cMd/v4iGsjZHCBAFBIFYRcIsNCUel8ZqAeXUPk9aY/hP05QPx8cERIuyyA927y8eSgonWjG94TP5kojK/f699u26BSpHuE/yjMBk2qdPMMjWzDww3ZMF/N0xd1CKPICAIxH8EpqrbDOFLdjrWGdPexWsCBvHCV/r4o49TR3Wkwen2k5gCdDu+x47K9DO71Rnui9JvR9+CrQPmIPPsXrDf3473R04apoN+Hn/kMe27xsMxAzj68K46qmMeLbkdbZI6BAFBIHYQQMQ3YkuEgG34wqYPPxQihePqbsmLSHj1K8dWomovbZR3/j8CTokSOGYAVhjzekzBTRAQBOI3Am6xIeHoVbzeAYcDAClDEBAEBAFBQBCIBAJCwJFAXeoUBAQBQUAQSPAICAEneBEQAAQBQUAQEAQigYAQcCRQlzoFAUFAEBAEEjwCQsAJXgQEAEFAEBAEBIFIICAEHAnU40Cd/m6tClfzYjN6MFxtRDmxgYXXyPZQ+xEfIuJjG4NQsYuN72JDhmKjnfGxzPgg66HiKgQcKnLx/Dt/9zaHq2tudyuHq/xwleMVC742UOdFVkkS/D1mwoCYtBO3a+E+ZPOKRpTndq9xqHXhjmo8NVVijHA94cIgHO3B3cW4YB/Xncb0wRWneHBvMT9eZSimdd+u7zkhRa3K77jeax7utsRnWQ8VCyHgUJGL59/dDoVxpxHw6XOnKXfZnNS1VQ/CJeyBCNjM/hSquHDGGDNJQWwQMFL64SzzUof71ENtu5k2MNQywvUdsveAgJEvO6YPsjQhMQGynN2pBIyEIZUalHNNKxlTDJ2+j8+yHioedyQBY7WLbBb+LlMPFbA75Tt/qQPD1Ue39H7hKj9c5XjFglfoSNPmZQfslBUq2Da73UPrlhEp2PL5fVxkn1oRcLh3wOHAINQ+md95vW/dS11OOa+9ypCX8uPCO6xDw7kD5uQonD3N3s/4LOuhjlm8JmDcv3voyFc6MTSnoUJGjR17t9LNWzepaP4SlO+N/GTPimPPIMTZWZDN4/Lvl4kzJ3EWkGfSP0OHjx72mwXG3hbsJlAekpgH+0D4t+7a7JpBCT4RrBa5zygf/X4TadvUPcTmg0wk2/du88kSw6YzKBLk433x+Ww+fUauXLd2www7b8kcejJNWl0NZ0xx6q99QsGstWrDCt0vfuxZnz76dJL+uz07k91EGghvHtOXsmSnaypz1A6FAR63ye8FC26/fVztmXiQmale69rR8iJDSa/bssZvxh5z7OBD/erIQZ0lCLl18XBGJLZgIDf0zVu3fLK0FC9Y0sdsGAgrjOnStUt8sn4Bb9xP/vRTGSxZ87eg9YoB6tq+d7vfuWT6/Par9JRu2ZfcfIPm78AM2asQj4CHs5pxxixgY2ZBwztu/eRyB43tHzUOat7gYVn1IkM8voFkwSsGdt3i5ot2+t2eUQxlNa3bXOsQ1jHVytXUN7sF0x77GEOPZnwmM63ZtEqn13TKhR2fZD1Yfe7v/XhNwEvWLKKN2zbQA/c/oHNmIh3cjxd/IORrXTRtmUVGdgLmHLot6rfSJHnh4gXKXyGXTtKOe4h/UyR8SZV16OghTXIF3ixAjz2Shr6/cI7+uPK7IqsD9ILKZYq8snz/9Nwls2nXlzu0Ge+uuxLTPyqP52H1fY+2H1AmJXxeHwj6pFnj6YnHn9Q5d2+phcQxlSsVSdzLFi2vi7ETMNp07vw5KpyvCNWqVMeqCjmBt+7erIT+fp1nGA+n/ML/Q2GUUWWWKFCCfvrlJ93n71RO3VtKofd7f6DjfcaYXK8Ue0lPqEolK+ty8d2fV67oVIJIIs67w0AEzHmPkasZZl1g2bFPO0Iu2X1rDln1Q0m+XjKHNvsN6DpE9yMQ3jymIODib5Ug5O/E44+AA2HBuYp7qvyiSB2HB4ulsdM+1FehJkqUSMthihQpqNvAzj4EDAUIxZ0iWXKd6xh9R27dx1QaPsih0z3mXpQSckM/p5LWnz57SssmZAP3UGP8eDEWCCuMaZ5yb/jcR17mneIaM+Sovnr9qs4L60ZMXjHAomjCjDG6XZAZYMU5mhvUbGwt+lhuPuw7jhInTmz1DfMOeZS5b25+cPN35NT1R8DABvmSQQycdzcmBBxIhiAzXmTBKwZ2veLmWrL/jjb0HNI1Wm5vJmDU36lfe2WC3qB1ndf2YK5OmDGWfr6ERfa/Oo8zxhr5n7O/8DJ1UzmP47Ose9XjXt+LtwQMpVGuXmmllEtS/RqNtALEBJ86e5IisAm0dfFu1zt5OeUdCLd7m146cXma7A8pkquiiQAKDL/BzFe7RQ1qXOs9atO4gy4P9U6cOY5GTh5OO5btpafUThAryZpNq1KdqvW0CQ8KBnXUa1ObXsiYlQZ3H+ZpPFB2k04N6bGHH1Or6q5WfYNVirttage32FhUmAXiu/6j+tCmnRtp+9I9+k9cf9mi5ahKmeqOd2WDgGtXrqsSWbyvd0y8UypWoyBNVEndq6ik7k4PvitdpCwN6DLY+u70uVPUtlcrRS5JaNqIjzUGgdJ4ob7l65ZSq+7NLCxBICVrFVHj8oGV7u/k6RP0avFstHTGSsr9Wl5PePOYQpkOV5mJAi2CvGBhT9wO3Ft1b04//vyjrgPJyaFcsBDBgmGQygnMRD1gdF+1GNpitQXtW6Z2nV0GdKQlql9umbzcMDRzQ0NuIf9ozxyVx7ZT33ZaDlCmV9m0B0whQ9f+Q1/SlGEz6LWXX3dNdBIMBkPGD1Jkt5P6dhpgYQXyhtw8kPIB+mj4DF3PgqVzqVHHdwkEXLJQaatvU2dPoQ9UApZNn23TVhvG5uiWkz5znX/fs/IAPZP+WS3CbiZoJGkvVbgMIQG912QuTiZoXtB6mU9eZMErBm4EDMtIobxFrD+zvEwfOYvKFiuvdVuVRhXo4PpvtA6zP4whdBzmjtf2HP3uCJWtU4LGDphIb+TIpfUA5kPn/h31gm75zNWuujCuy7onJR7kS/GWgE+onVrOEtlV0IhSyjnzWt3ec2AXFatRiMzJxzsVCMcZFUiDXS1MUjAVcgpAp0kF5ZIuZ5popkR7WsCJM8frbBlbF+/0MQFjZzRqynDPuWGRwLxo9QKW8uROYYVevKZvnyDUMIufU7t9mGzZVMkZO2apFSzatHr2+mhmaS7XnyKBQsJixOmB0oIfFIrUfOYs+oSadm4cTUGaWUSwSIJl4NyFs9oUe/GXi3qHwikWQUyNOtRXfz9HK2at0UoR5c5U/Zkzfr7ui1e82STYrF7LgNPCCxasxJZMX0F5Xs+nE85jvCYPnaYXb+ZTuGp+qlftXU3A6PMbpXJQ7w79qHr5t63XWL5YKTo1MpBSsqem5DYunLKYCuQuFBRWZtAYCOtnZRXB4sDfEywGA7oMiYbVwuXzqWH7ehYZwP1Stm5JSya4fu7bbCUHxZRVww0b/v30nvOW7LsRMAKqsHhp+W4bejnry65zxcTAn6w4+bzxPs8nr7LgFQM3AnaTi1WfrtcLKg546qPmcCm1yLFn72IMOfjPa3uWrF5EdVvXomNb/0cPK8sWP+OV5WPEpKF+dWFcl/WASiSEF+ItAWOHl6fca1RXKTmYr8zd6WcrFvoQD/xZ2/ds1aa6G3/f0OY0LwTMq1r7pGJFwEIO0tmmdjf2ABY7KQYaH15ltm7Y1jKH4Rs7Se05sJtmLphOaZ9IR4mVufuvG39FI2C06fpf1/zmGPanSPxF8LopM16YuClILBo+VME+dye+W6Xye1ybr+19Q383bF1HlRuWp40Lt2mzJFbq1ZUviknOK95u/XMaBy9Y2Medx8u+A0P5wKhQ7sKagLHLQ5RxLfX/sDSYD8zS/gKVQlVKvEgIFSuvQUvBYuCUy9qOq/3fdgLmvtlJgt9zwsytP3BPfTx/mtYLmZ7JpF1SgdJhhkLAPJ+8yoJXDNwImDGyY8f4YyEA2Tty/Gstk1kyvqBdcBz7YcfQa3ugB8uoHfCkIVP1MS22Brbv3Vqn7hzVZ4yrGozrsh5If4fy93hLwOgs8rLCh1M4X1FKnjS59peePX+W3spdUCdMxwOlX/Ltotrsgjyt8LlhV2WfkMFMKrswoqyj3x6xAjzsA2EPKHIbKBZADrixv4fAkZTKV1WreXVF0PfqwJyn0z7taO5Fm65cvUJzJyx0lYtg+mwW4qbMeKduV5C8Ax46fiBhcdSzXR/tJ8bOw2lis3shn9pl4vxr5QblabHadXKaP694h4uAmSDtbXUjADsB83c68Ef5JO0PB1Y5DVSoSokVbahYeSXgYDHYMH+zjkMwn2AJmPtmN5OGQsD4hmMqvlFkhHzOxVR60w7GESP7uAQ7b8z3vcpCIMJzWsignXY3iRsB43eQ8JZdmwhWwwPKv45YEY79CJaAuT2Yu10Hvk8nz5xUPt/s2geMeBi4kVrUb+03KDWuy3ooBBvom3hNwNgpTZ83lXJme02blTlq2fRZcRJ7+y7FiYCH9hih/MkNLczcTND2yYEzhjj2tEz5N2KSl5jNQux3cRo8BJhlK5SF7D4eu/DC9A2f2dq5G1194cEqEm6Pm3JGnTC7s/8d/999cBcrkTXaXbl0Ve1396cY8DeYpeFn79yiq57M2EHw4xXvcJmg7QTMCwz2o30+danePdgXKXmUawTyBGtNjqJZaaDyCWMXHMzD43r+wM8+PkqvCjoYrEIxQXvFAHILKwCi7rEQMR+YoDv372DJjde+cd12UnfyDXtZkMJfPuHjsWqRuMBvDAnkyq4r0B8v88mrLHjFwC5LfBzK3j4zat70DeN7jlru2KetktcG1KpBW8u8zyboYNqDhTbcYtjx4vF6IiSuy3ow89bru/GagLsN6kxX1S6vm1LobsTHpMbmTACDXfF7KtgJ0bemD7hp3RY+fk32M9tNhHYfMMxKVRtV1JHKTiH2qBO+TQgYFgp1q9V39DVhRQr/Z0rl50Q0cUZlErMHhpgTGGSGv+M7kB18LLzb5OAbTDZz528Khhezq5MgsX9w+qhPNO7oG3a/76uoyeJq94DIbzztPmitiZTbBH/bi5lfUhiraGDVR0z8Lcrfhx29fUXPgUzZVOTksJ4jfYKUvODNChHKHt8HerxgYd9dYCzK1ytlReayHw1tr9PybcKNWewnBza7lesAVgun42Ju7WP5hS8f5lF+AilEXiQEgxX80+NU8AwejDH8fse3nfILnVcMICNdB3Si/V/vp5EfjLZkm4Ow8qjgus4tuum63M44233wPD+7tOxGzdXuyj4XTJnCQuSThTP9LkjRxkUrF1L73m1UFP5h14Ur5DijcmcN6T7cZx57kSH0z4sseMXAaXAy5k6vZW9k7zFWABvPMzd3B8axnPK7VyhZiTo27WwRMG8GgmkPFtpYOCO4zX4s0p8wxXVZD6RDQvl7vCZg3uXh3OOD/622AAJWXM9lyKSDDUB4mPg4F/xs+uf0LhnBASu/WKmOFZ21bsbB5ClfoqKPz9QtpJ931eYEh58Zt8fgmMRdie6yxoKPNOCYDwT8zPenVZDSdis60z5o7N/F8Yl/lemGj0agT+/WbKRf760iQRHWn1UdD8Df0z2Vnr5VR5VAwOaNSfBzI9IWbbp582/9LsqpWra6Ov5xnTLnzeDof7RHxNrbyGZNHFGBH5ePEyVV50bbNm5v+TntN2Hh2NiUTyZqMxRMUzg+9uADqamxini1+6xQJwKZ/vn3XysYy2xHILyZgO1j6jRJ/F2iYGLhJA9wgcxXUbvplD/+kYceteRr1JQR9HzGLJY8sf/75s2blFotWnBUDQ/kEX5itwUkL8pS3Z9Kyy8fIwukECepKPbK/0Wxh4JVMLeYecUAi8LhE4dQsiTJKEmSJFoe0f9zasHSrnFHi/DMY0Q4AmNfdHDfsIDDsbXjJ48pC8RburxHHn6UQMwIQDTnJ8zMrXu2UIFWObQbAHKB6F5cQMLn6SHHN/7+m+65+261iOztqk/nLP5UXw+aC+fulRzDTYJx9TqfvMiCVwycGolo88+UVSGfwgR6EfMMcRdYWDAB80Ub/D2biXG7F3Cx1x9Me0rVLqaL1UFtCh9+cOY/a6YXXc3Q8UHWQyFZf9/EWwKGEPcd8QGlTHm/D/liEuFM6tfHD9OAzoP1YGPiL12z2MdMDVBw4QbfDet0cbzboXZ/FwAcPnbIumgBdTABQ1l0G9RFB0/ZI7TtA4S+IboUfmV+TALmSyb4QgsoZQQ14cIG+53BaKvZJpOAsTt18j8GukSfd8DYMSGSGY/9Qg38Zk/GgB3G6o0rrX7hmzfVMaG56ugMK0QTC9Tz8gs5XO/vtffNxBv/H6gfXJe/i/TNMpzes19ywW4QRHnjIgu++AF1YdywwOLLS/BbIALGO/iGL5thAnaTQX8y6yabTlgFk0gjGAzsF3agPxwPwOMRTN/sl0ngZEOaR5/QgXx82QbKtV+44UTAeM+pPfb5iXFc9cUKS/aZgIOZT4FkIRgMArWPiQ/6gee7nYDtZmJ7/V7bA1kdo6xxz6TL4BNIijPqv/z6C/2u9ODofuNdF5xxXdb9kWkof4u3BIxdaEt1fnTn8n0+g4mJhjOp8DfNUCbSMuocbFx40K4WXd/TUcs4FxyMaSYutN9OjPg3m+9jo33Aq7RaScNv+mq2nLFRhZQpCAgCYUYAbkEEwk4cPMXHfYYNyJpNq/Vxsz2rDiqCfibMNcfP4uItAeO8GULbPxk7T/kHM1uExitLBBTMHD07pKsgY2MocSPV5yoCGDtu+5m72KgvNsvEJQ3Y3cUWAWOyLlg2jz75bCYhwCk+L1ZicxykbEEgriGAuA/ctzC2/wTrxAnaCMvHgqXzaM3m1VovxyRYNa71OSbtibcEDNMTzIO4eSlp0qSWrwE+oD///IOSqyv/aqhbqbzebhMTEL18C9MKfM/xnXzRVwRZvJLt1VghYJhQP/xouL5as0ShUtZxMi8YyzuCgCAQWQTWKoKdPncqZVBxJ3crXzr7+aGPcT1sntfy6fv55YlCIN4SMBpvTzSA3+ADwhV8fC2gDHT4EfDqWw2lZvZhwheHwJq4soAKpS/yjSCQ0BCA6+j4iWP6bDHHqHAyBlx0cidsQMI5pvGagMMJhJQlCAgCgoAgIAjcTgSEgG8n2lKXICAICAKCgCDwHwJCwCIKgoAgIAgIAoJABBAQAo4A6FKlICAICAKCgCAgBCwyIAgIAoKAICAIRACBeE3AsRmNG4GxuC1VBnPDUSgN8nerVCjlxfVvRAbj5gjh+k37TWSx0dKEJu9uGMo8CE264jUBO93fHBoMUV/herY1Kj8oX08Zk7Jwx2xRlQ8T96rGpSeYO35Dabfb/dmhlBWTb8KNP/LG4kGOU/MJtwzGpM8J8Vu3ccZZdRDw9qV7YhUWr/LOyViSqLuv7XnDw9FAN/mMSdl8/aS/MnDsE9etyjwIDWkhYAM3ZEwBAa+btyk0NP/7ijMWzRm/gPKonLZx6UkIBBwb+CMDTsmCpQiX1QsBxw2J9jfOIATcbxwom1NMe+KVgJGMpUi1/PRUmrS09OOoxVw4Hzf5jEkddgKG9QyPeb+5EHBMEI7nF3GE+0Ymr0nIA0Huliou0He34+99RvTySVsY7jr9ZRYKd11u5cUG/m6p5t4sk1Nf/hJb13LeLsziYz3+xhnjhRSHS2asjNWucX5utzR/XDmuV8UNUanVoiA2dsBu8hnOzvvTjzIPQkM6Xu+AcScxnmZ1W+rMRkgrhltXkBwdWZD4wUoOuSY57Rh+x01LnJeV/Tj2FR5nU7FnP8H31crVcLzVBWVs3rlJ58HV36vUZ7xK5PagvnVb1ljZVLxkYMG3nDgb+YjxIMsJbot64rEnfUYf5e9X7/B7wITN6pxWbN+aQ7R97zarDWhj3tfzR0tscejIV1YmHq+JtZ2Ugde2oyP2G844AxDKWKrSK3IGJryLNsHKwKZ+L/jD1YBct7iph7MXIXWl061bvAsYNLZ/VCaZ56PkqlPzLvq/nOi9a8sePrf/IAuWvcxQxz3Qd8Bl3pI59KTaXeHhbEtO48X9QV/M7EhuMhiobtTH8yZbluw+MuVUZiA54L68pMq69557LUzt4xRonJ/M8Qg1rt2Uuqtc4fyYmXZYdjjFp88E+u8f9ixPTnjinTTZH6IuLbvTi0o2eM7hXaRJ5bnJGcyQ09nUTYHwMHWG05wOJJ/2bFEor2nd5iHdr+6PgG/HPHAao/j+W7wmYAz6kePf0Ht1mtNvv1+mS7/9SlAYl367pBPaI80ZHjsBIzUW7hounK8I1apUR38DwnQi4JQpUtJgpXyvXbum8mqmssY7VALGhPho9mS6X5V769Y/OpcucpD+rfL1mjlR7YKFiT58wmC6ev2azleKO1Yvq35euXaFerXvaxEnl4+7WNEvPE4EPFHli/318i+qjMt08ZeLKp/wMcr7xlvU4T8TK+qbrQJZgOV1VSfy13LO0NJFyvqYoexttRMwlM+EGWP0pMcYoe3Xrl/V6fka1Gzso5CweEHiivtT3K9zDePxR8C/XPpFEelPOmvSIw89osfQ3wIIsjBp1nh64vEnKdH/JVJjcJOOqVzKlUpVprJFy0ebz4EUHMtgu8Yd6EeFI+4hxxicOX9GyWBbKpIvKjcqxgIknkLdiZvkvqR63H/743d9YX2L+q1cr9z0Ii9Q4q8Ue0kluc9MlUpW1rgBZ6TlxCX45lzgBVifjv0pceLEevx/Ve/+ePEHyqBSyLVp1N5Szl7qRt84P/T7zbuq+37PWzKFhQ4Ww6ZMBZJh7gsSylcuVZXOqrSOwBQ7zf8pXBnTQOOMXNKdW3SjQnmLWDpg3IzRlFYtUjgXs5ni02m+eZV/yDtkp3C+oirH+DmCfjmr9AvmOBZqIGHI+hulclBPlWcY+Z/xhGNO+5NPyFzPIV0p7ZPptKzzE1sEDF0cW/MgvhOtW/vjPQGfOXeapgybrnejnIqwba9WOknDtBEfO670MMn7j+pDm3Zu9AnScFrhYeIjteGUodPUiraUJzlwM41xAnEQYtsmHfTERJt3799FDdrV0Tv5VkppOz245LyDSqj9Yd/x1s4Kk69yw3I0pMcITYgoq+uAKB8ll28vixXw6tkbrCxSmKj9RvVW+YSX0VcbjmoyQH0DR/ejnu36RCXWVuSpSWRMP9rx5XaaP/nzaDtvrstOwEgQvnv/TurbaYB1RzeUM8bpgZQP0EfDZ+g6UX69NrWVMitHVcpU95QxBeVgfOZP+txStv7wb9KpIT328GNKMXbVhI0xGTx2AG1T1oDF05a57gzcTHyQGcjg2AETrb6BuGo2rUrYEY4fNFnDMmB0X7Ww2ELDe43Su3WM1TK1m+8yoKM2k+L+cvvdbO+pAAAgAElEQVQTjLygfVgYDegy2JIrpOW0zwUe/7kTF9IbOXLp/oIc5i+dQ3BPYGFWqnAZjQuS3XuR1aadG9OcRZ/QxoXb6Om0T1uy0nVgJ215+nL1V/o3LzIMDLB7BR6Y11igQDYwzvVa16bnMmRSaUZnaaj8maCRladTsy56jPGgbxu3b6BFfsbYxD8Y+Qf2jWu9R23UIoxlav/h/XpOY4Hfo+0Humi7DHnBw8ucdiobv63fspaqNKpAB9d/o33PMX0C7YBjax7EtN1x+ft4T8AA1+5/gzKAUtj02TZtFsKDncDho4fVzveMNj1+deSgTmD/65GoXRYeNwIupAJwKqqdRc0KtdUuI1PABAFuimHvwT1UtHoBgvnXfil5q+7NtYLAZHF6MJFSp0pNEwZN8flz2ToltFIa1nOk3umXrFWEti7e5XrpOStgs98okH//etO39LhSeqgPic1H9RnjUx/IJUfRF+nTsXNdFySmouGV/4AuQ9Qus4pPWQuXz9f5QVlBzFr4MY2bPppWz17vSoRsFjz/4/d09NsjujzsLE0fXCD8ERlrEh4WQMVrFqI9Kw/QM+mfdcTfHwE7ySDvjHcs22vtfnp36EfVy79tlQ+SS5czDU0fOYvKFou++w5GXuCDK5insF7kmI99LrgpZbQlT7k3tLUBBBdM3UPVAqv/h3185pIpU/vXfq0WJ+m0TAWSYXyH3St2bfZ5DUz3fbWXDqyLmiP+CBhWEDPrDgIsP1k4k3p37Ee5XsltEbPjYKsfg5F/N9lo0qkBbdi6zlqA2N/zgoeXOY0+OLUBi58K9ctQHyUTpQqVjnEihEAEHFvzwG2M7oTf70gChh8GUYGzx89Xx0ZKKD/Sbpq5YDqlfSIdJVam1L9u/OWZgKHwYTIGOd5z9z1q95KJ3nqzUDT/nikMbophwdK51Kjju9EUlams7MTI5WJXALNczmxRZnV+YIrjICB/5fP7gQj4ux1n9M4T9Q1SZl02l5l1Bgr4MP/OO9Qti3bSC5my+rTdjhMWTdf/uuYa0ASSmDBzHF344Tw9m+E5+uOPP3R5XgmY8YEZE2ZwfmCChwvCqY38TigEjB0BIuoZg1rK9Gj319vbbgIUjLy4KUf7XPBHWoipOKZyuYLggqk7GJkKJMPov1tf2NrApxSCCbbDGIyd9qF2D2DBmuW5LD4+WrsyD0b+3WRjqtIb7ZXVihcg9vfCNafdCBiLX8jXkeNfa7nLkvGFaPExwZBYqAQc03kQTBvj27t3JAHzjmbJ9BX0qvID12peXQd0wCTFJjInpeEmYGwm3rh9vVKmx+iy8jeb/j37oLspBq7z/IGfo+2i3ZSYSQBmEJBZJwd5+SvfKwHzAgDKYqgybdev0TCaTAdDwIzFhvmb9e7K30KFAznmTljoOI+wm8CuAr49nLFmMrO3JxD+kAOnh4PunP4WCgGjHOziuD0clGcvX4+rETRoHysv8uImu+ZcQLCaP9KCNQWBiiC4YGQ1EAGbMhVIhgMRMGOK/wZDwHgfVrBVG1bQN99+o4OlsCDs9/5AR2tLMPLvJhsg/O6DuxAvau3v4d+B8PAyp90IGL+DhLfs2qSD2Q58fUDHVqDPoaQFtC+ATDn2t2iK6TyIb6QaTHvvSAIeNWW4Xu1uXbxbB7vguJLpIwRAbgR85eoVciMAznXZe0RPFUR0jZbPXO2ItRvpsPkPvjK7woUJ+rtT37qWiR39i5lfokHdhrqawLcpH2MZpURhwkW0pdPjVVnCpIk2juw9xqc+NkEvVX7L3OqYh/1hsyqbhNmHjqAfEJD5wATduX8HPU7wnWHcps6eQmvnbnQ0EXYb1FlHZC9TuJsRy24EbCd9NsnBLBzsBSluCtmL4uHzqggUwy7Y6xOMvLi1w5wLwNiNtNDGPOVeo2b1VBxCg7aW/9CLrHqVKS8yHAoBOy3u/GGMvi5ft4TgJ3aT42Dk34mAoStqt6ihFzSsJ+zvecHDy5xmAnZbMOPvHG3dsU9btahuoMc42AcyhnsSzu2LCu4MloBDnQfBtjM+vR+vCRiTBJGMU4bN0Aqbd6rv92tPxQuU1MEP5qBXLl1VK26sCkHQIyYN9TEHs5/IjQBYkHsO6UYHvjlAmPhOD9cJ0qlRoZZFFhxk9LQKGMOFDhw4hl1Ky27v6WAqjpq1l7tg2TzqO7KXnjilCpd1JChMMgQZ4TF3+2ZZgZQlr9anzf2IRk0epnxm/anAmwV9grB++OkH5Yue7LhzOHHqO8pZIrvlk+Ugkv3qmNjID0ZbPnQOwsJZTexo8XDwEiJX31U7bw7A4fZjfBat/EwF0iy3xvuHixe0T9r0Abvhj3Fv1KE+pVQBQYgM9uLP57qhLDNmyEhDug/36bdXcylkcrdyhWBc+PhbIEURjLygHT+ryx6mj/pEuxCc5gLqYwLGghQLKA5+Gz11JC1ZvYgWT1+u5TKYut3OlrOssUx5kWG00e1MqX0H5jbOgXDF3+FbfatSbvp86lJtlrU/XuWfz70jehxWMQSbYR6irwi8G6FkHkFteOwE7AUPL3MaZbvJp9kvtLVc3ZJUoWQl6ti0s24nzibjaVirScDYFn+X+MTmPPAynvH1nXhNwBDol5VZE0cAoHCw273w4wW6Wx3T4fB/DEzv4T3UmcfDlFWZnOD7S/dUenXs5rgmYFYOPClb92yhy8T53fIlKtLD6r+TZ02wxhfHVs6eP0slCpVyPLbCL7ZTEb44QoE6U93/oHUOF8Eh8EcjEjd5shSU6K5EdOPGDbrnnnvUcZTWrpOA/Z8nT52IdqzAPBIFxTLl04m63cAjRbKUOpK1ojpmA5NtIGXJu0OQ1RillHFUJsl99+lyoKxxzATBaE4mU1PBm4QIYh0+cQglS5KMkiRJoscAbTqnTIL2o1fwaSM6+Gl1jOqmOpqFd7HIqlq2Op3/8Tx1Hfi+jjbG+CRPnoKeevwpbearXbmOzy1VbvhzPADw+ffffyxfsL8jKejXnMWfajnI9eqbGgsoLBCdP7Iwdwswf36orie9efMmpVbf8VEY4AA/O8pyerzKCx8FertibX0MiedCUnUdY9vG7S1zPRMwCOM+Na7/qKNwf179kxAxjYWWaaUIpm4sjNwC+1imvMow5jXmnlMQln0H5jbOdixxVSOf0cXf+BiceYTP/Mar/DOeaO9LmbPp+BI+5mg/1mUnYK94BJrTbvL5k4ptwLjww8cIsfiHBei0ilHA7VypUz1Eq5TVDOZpf48/Ao7teRBfCTZQu+M1AeMCcFxGgYcvZ3C6nIIPwSP6GQ98kYj0RRQ0K1L8DhLftGOjNVGdCDjQxQ0MuHkA3jyHy0QPn4yXiyDMAeRdDc7scl/wd/uZZCh7RLFylLBJwG7JGPg8oekHBW4grEAXf5htdLucHm0CtjxO/i4fQVvMSyKYgLG7QHvgC8bDFyPgXSgR855mf/jb8eGy/F3KYL+MheXG7RJ6J5wZT74oA/UGImCv8sI7YERZm3OhcN6iPtYSJoxB3Ybp8918eQ2Co158/qVoC0CMRSBZDUamvMhwMJj6G2dTLu0E7HaJjZ2EA8k/yzviMGCBMHUM7iEwF1ZupmpYwGIyp9FmJ/m0E7D9IhF8AysFbufCKQ+ni2hMPPwlcglmzEKdB4HILD7+PV4TcHwEXNosCMQGAv4iVM36gg1cio22JsQy+casQFdWJkRsEnKfhYAT8uhL3+8YBHCECNl/At1JzceS/B25umNAiUMdgRWhWI1CrkFfcaip0pTbiIAQ8G0EW6oSBGILAa+JSVYpt0vNZtX8nnmOrTYm1HKx++3Ut72K9fiLBncfFtI9zAkVuzu930LAd/oIS/8SBAJeE6I7+foTBEAR7CTnAkZ0fyjnbyPYdKk6lhEQAo5lgKV4QUAQEAQEAUHACQEhYJELQUAQEAQEAUEgAggIAUcAdKlSEBAEBAFBQBAQAhYZEAQEAUFAEBAEIoCAEHAEQJcqBQFBQBAQBAQBIWCRAUFAEBAEBAFBIAII3NEE7O/qtAhgHVKVblc7hlRYDD/yetQlhtXc9s9j+2hOJOUwkmMWybq9ClFcml9e2yzv3TkI3NEE7O/y8Lg4hKPVZf3Ic2umyuOrA+PCFXZul+TbscS9u7jvuG61+mG/dABl4zHvffY6lriDFgkVzPu/8S1n7Ymt26EiKYcYM9wPPW7ARK8wBf2e25h4lZegKwzjB3FpfoWxW1JUPEFACDiODBSnVpszfgEhcTo/cUlBeFWodVvVou17txJyyaZ57ImwIoy0ayVVAntkdAn24XzAZgashEDAXVp2Dwkvr/i6jYlXefFaT2y8F5fmV2z0T8qM2wjc0QTslnovLg6Jv0TpmfNm8Ml3G6n2e73u8NPPZ9EvKvNUbOyAnTLKeMXDLRcyJ76PrR1wJOUwJnh5xdWtDrcUdV7LvR3vcT7fuGBhuh39lTriFgLxnoCRU3P/4f10UCV8R2o1PGxidFO4SAa/dddmv+kA7em9UK497V+gcjh1Xq3K79CqDSt0fU55Z+EjRO7VaXOm6HysyHWL9GblilXQ/YGC69Oxv0oXl83qJ9LYIZG4PS9voDa5iZ+X73DhP55mdVv6bQcIGIkBuP34BuO0fe/2gKkN3cbznMrBjPSRg8b2pxJqB/ySwgIP8j57eeCP/OrIQV1Gp2ZR3+hysmTzSVJ/89Ytq40Yq+IFS1q5dPENrhU8dOQr2vnldi1v9hRvTm0JVQ7d/JNeUz5Chuq1rh1t8Ybv121Z45oaEin+lq5ZrN0hR787YqW1bFq3uY9LgX3nbmMC0/uVq1eoa8seVkpD4JPr1dz02suv+6S/8yofdny9yC3G7PiJYz5tQKpRdvUEM78CYedFFuUdQYARiNcEDJKcMGOMynf6KF36/ZJOLh6IgEF0G7aupWTJUqj3b9GtWzfprFLuGdI/Qy3qt9ZKARN2sFL0165dowfuT2VJiz3x/aRZ4+mJx5+kRP+XSJdz7ORxqqQS35ctWl5/M161DQnku7TsRonvulsn6w6VgMuoMksUKEE/qZyjl377lb479Z2q8xb1e3+gdb8sFGKgNjmJvhdM8B0U6pHj39B7dZrTb79f1u2AQrr02yVq3bAdIf8pHntmHuA5fMJguqryz95z99107z330WX1zZVrV8hMiO5vPG8HASNJ/XMZMtLps6d0UnXgibt7gTFyEeOZu2Q27fpyhx7Hu+5KTEhyfvjoIerR9gMf372JsxMBe8HczTzq9DuIaOy0D3X+2USJEmmMU6RIQd0GdvYhYIwXCDNFsuSU5L6kSiav029//E6PqfzYLeq30vK/bc8Wqta4EpUvXpGyvfAy/XrpF92dUAgY8tKucQf6USWH//PPPwjkfub8GSUvbalIvmK6XK/yYZddL/KOsmerBSEWS3///beeg3jsBOxlfqHtH82erBLXp1Rz7x+N3Q1V5t83//5/7d15sFTFFcfxDptlpFQkRANEMBpQg1GIKKBxA6PyjLgAbiA+BYILoj5BBRRFLMIOLiz6ZAlR2ZFFEA2ugAYsg2XKJSQUIC4YK/GPVLkUVaZPW2dqXr87M3cG4TjF9/5jom+m73zuuf2b27f7jv+MQ2r87jIRg0AagbIO4Fnzn3Cr1q50o+4c7Vo0b1nrB6Xjjk9OoJuGDvAB2c31+P0VobOSb95yxSbDhPOm+/uvp5zhA3mH63jhya56/Cx/BVRRy1FeM+DOfu6IJkf4K7Bh4cSTfzf20dFu/Zvr3bJZK0OHPdOfrHeMvM2NHjrWXXVJr7wTkvL9Tqt8Q+/d/Vo35Ka7wtWYXoWdd+U5bsbYJ/xnuTy0n2af4g+T1kQDeMfO7a56wuwQTLIf23duc7ffN8h35ge6WZP+FD5j/Nu0L7y6xg32Dg+Nmpa58pHOs3u/bm7cvZMyV8qFjqfsw54Mqea6Es3+kfrLKnpk6mLesqf9r9hUuQ0rNrljjzkuhMdVN/Z0fXpWZo6nBFrlbb3dr1q1Cb90k7SVWoe6XwsfW+rkQf666b+fPfnP7qLzLg7HftA9N7tdn+9yE++bkjkXPvp0pzu1azs3Zth4d/Vl14SXj354lFu38bXwd3IFKMdw5QvL3dDRQ9zyOavD59SfLKy8/PpMfefrTHIdE6kDqZdH/QQwPT/V8MTjT3LTxjwe3jZtfWTvQ9p6l58BvOvBwW5E1QOubZu2iedg2vNryANVTkaebh8wOHMebvzbX13fqj5hVGiQ/1LBhkAxAmUbwHK1dGHv81zVgCH+qrNHqo5vxtxpbs6CmW7N02trnIhyMstvdZ5zepcQ5hLAnf1kn0u7dvcdbW/X6ujWNcL9zbc3ud9dcXamY9bG5WQ8/6rObtPqze7olsdkZtdu3/RxwdnAhQI46R6VdBzy+YcNutel3acYKq2JBrD8M/7N2XnPPOluvPsP7pUl68MweRzAPfpf4ho3auymj6mu0fxFfS7wV5yt3YQRk12a47m3Azi+B6zHZHH1Mnf2aZ2dWE2d/bBbt+yNGsdTrjynVE90/1i/7Xutw1w1of/+uafWhi80euwf918Y43OhS88znQSpBLAYd6ho50YOfjDMjNZN6r9F+6ZOAz1+/0IdSr4ATqoXHUl5feWb4a3T1Ee8D2nrvd8dlT40D3JTHngk58fItf9J59dbz79T6xeN5MvPyxtedG+vfbcQFf8dgRoCZRvAMuQmV6n5Js7EVx4SEl99/WXij5Znh4ZcFchQk5xUDeo38FcKrd1ZnTpnrt4WrZjv+g+5PgyjyVCfbp/5YTa5j6v7lOuKK6kGSw1gneGadp/ittOa5AtgvWJ6etpCvzzogloB3LzdT12H33Ry7U/8bohaN7n3LfcpJdDTHE+rAF4+e1WYmS5W6/3Vo4xmZG96b/k/7/0vVQCnNdea0Pb1zeNa0WP//mtbaw2DSl13Pq1LCGA17uX/t4ykZG8yLK1f8vLVYtIHLCWA5cr4LwteCW+Xpj7idtPWu7x39ghAMfsvnys+v5KOcTHnOfmDQLZA2QawdhIvLnzVndSmXaqOTyeFzJ++uNbfx1dtEsJyRfvyhrW+4/rAfeHveep9Kz3hdDJP/GZhIpUfli7mxCw1gLXTTLtP8b4WYxIb6Xvplb8GRfx30pFlT5zK3gedbJbmeFoFsH6hks/1/pb3akwuy/4suSaExXWQ1lxNHvO3Gbr72wy5AljfP15eJX+fHcD6fjrRL66FeFJa2lnhpQSwtK0jKWnqI97XtPUu7z3e3+a47sp+OXv+fFfA8fn18ebPC97qImIQSCtQtgEs995O73aKu7V/lbuxz8DEzytDg/eMHer0W6vc5120coF7afG6cJ9PNx2ClklWg/rWvI+jMyhHThrhvvSTiJ6du8bpelIZQst+aEauTqKYIeikLxRpOoi0+xTvYzEmuQJYhl/Fet2yjeGLR/x3sk70hGN/7cYMH1+r89L9SXM8NYALdai5il877bgTLTTUq0E0dupo98zqJW6lr4Hs+il0spVah7pEJv688b1hXUa1dOaKMDM+e5NjcXr734YA0rXmf/T3hOUqONdWyhB00jHJVS+l1Ee8r2nrvcLfppLbH4+Nm5mz9tKcX2osa9vjlQcyBP3PbVtC38CGQDECZRvA8iFlQoksl5AJFjIDN+4Uq+6/NQwJawDLhIy+VZWuf68BYRKWTp6SSVhzFsxyT01dUOv+jrQjAT1i3HC3+d3NTgJS7qX1H3ydO9hPOJLZv/E9Yj0A2uHrPeF8B0Y7R1ludKUf4pTZqLrl6yB0iCztPsX7UIyJrOuU2b/VE+YEOx0luOvBO9z5Z3cNM4FliztY+dIzavJ94ctNRZeLcs4WLXQ85b0lzFv5mcrj7pmYuQ8r+yHWMtM139pj7bRlDkD7k07NUBQKYL2ylyHcnv0vDTPdr+lRmVgrScd4T+qw1Wktw/D95JGPZCaHveaX0PW6+YrMkLHUzsWVFe6oI39RY1a8TMLqc8vV4fUyt0E2OVYbN28MS7E6ndwpcW5CPMmrUIeSdEyS6kDfRydn6RB02vrI3o+09S4TvG7ytw7uHjg8LKuKh97lPdOcXzrZ7ig/+VAeAqOTEGX055bhN4TJhDqrW5cf6ohCIT/++/4rUNYBLCfFhBlj3e7du8PSAL0fq4UfPwJQlyTISfOTxk1cwx839K85wO3696eug++MdN2qPrJQy0KXKl3QuSKzxEhOsrmLZrsmfs3ut34piradvcyo2EccVvnZxB9+8qFr07qNa3TIYW7g9beGq5ZcD+KIHzOYZp/iUk9roh1VWz/cL8us5HWyDOOTXZ+4+n5pkQy/aucWB7B8gZk+d6rbuu1f7sjmLcKyLd2yl3YVOp7ymnnLngqPk+wo4XHQwWHNtyzH6nZtV7fjo+1+ItiGMAEuadNOu5FfWnZMy1+GWxfySMtcD+JIGgKWL2svrV8bwq5unbqZZmRt6xkdzkxst9Q6lDcbN22MW/LsQndGx7PcYb4mDj3kUFe/Xv0wuz57Yp4sj1ro5ya0aNYiLMuT2bpNfI1PqZ7kjmt1fGa4V0L5If/IUzlnGvtRIFlKJZv8vdwnli+xxT4dKumYyPvkehCHeDzvHym6863PQttp6yPGTVPvUqcPz5wcau9nhzcN57tseuujmPNLlo7JOS+rHxr6ZYx16tZx33zzjWvQoEFmCaO898QZ4/wXzvszk9r233jhkxcSKOsAlg8nnaqciPLsYX0QhwZw0kPw9apNH9yR9CCFOIClc5L1kPHDA6Qzk9mYcl9Qt+wALvYh/7JEQ8JAHtghbWoAy1V80rfppIfdF9qnpIJIYyKvk/Z+3uzI8BYffrQj/FP+/5k+HLKvLJKGHrWNLVs/CJ9Pt/jhJvmOpx7v515alWlfArh+vXpu+JihoXMsNNogtaIP0dAAznWccj3wQv7+7x+8k9kH2a98AVxqHSZ9XvFu0/qE8ECR7JqIHxCiNbvTf6GLH4qSZJwdwMX+QEH80Bp9EE6uH2PI51GoPuL6TVPvSbWXHcDFnF9y7GXUSM/RpH5Bgvp1vxwxru1CnTH/ff8TKPsA3v8O2Q//E8cP4tjbeywd7MBhN/iHndQLa3H1oRl7u13eHwEEENgTAQJ4T/R4bS0BuXo69/Kz/KSfvrUmtO0trnUbX3VLVy0OIwZyb44NAQQQKAcBArgcjlIZ7ePjT85wa15eHZZ+7KswlGFlud+5r9oro8PBriKAwA9YgAD+AR+cctw1ub/X9PBmmedCl+NnYJ8RQACBfSFAAO8LZdpAAAEEEEAgEiCAKQkEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEEDAJ4E/f+OLbBofUQx8BBBBAAIH9V+Crut8e1vbAOqUA/KiUF8lrdr3+xQsHNKpHApcKyOsQQAABBMpe4Ov/7t59eMdDzy3lg5QcwKU0xmsQQAABBBBA4DsBAphKQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqfQTIvYAAAFsSURBVAEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABAwEC2ACdJhFAAAEEECCAqQEEEEAAAQQMBAhgA3SaRAABBBBAgACmBhBAAAEEEDAQIIAN0GkSAQQQQAABApgaQAABBBBAwECAADZAp0kEEEAAAQQIYGoAAQQQQAABA4H/A10/P5/qs7ggAAAAAElFTkSuQmCCWhere is My DonutvaluesopenSessionskeyMenuNew btntruewhat's your name?playerNamesoundstruevideo-game-startJoin btndisplayNumbersplayer1creationT::1player2video-game-startBook,Tree,Bell,Star,Shoe,Door,Lamp,Desk,Hand,Rain,Moon,Coin,Leaf,Bike,Bird,Fish,Ring,Flag,Coat,BoatCreates/Sets a cloud variable. (Once you have set the Cloud ID, you can use this block.)
gets a cloud variable
Do this first. Set the Cloud ID to whatever you want.
cloudID//xhr_request(mth, url, dta, hdrs)GETping?user=AnyconnectionkeepaliveNonedeletes a cloud variable, making it always return "None" until set again
an ill-formatted JSON containing all the variables and their values experimental
gets the cloud ID from the cloud since the "cloudid" variable is formatted to be used in blocks theis seems to not work anymore
the only block you can run without setting the cloud ID. gets information about the computer of the user
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