<snapdata remixID="15009491"><project name="6A.12MinMaxProgramming" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAQAElEQVR4AexdB3wVVdb/v3QgSAgplEASCEWaIRQp8aOKKLIQP0HQRWRdFBcssKCugu4q6rerK0V6WXd1F3EFUZFiRSnSjHRwCSXSTIMkhCQEQvLN//Duc+a9BN9K3suQTH75v3PvnZl7zj1z5tYzd3xKrT9LA5WoAR9Yf5YGKlEDlgFWovIt1kCZBrh7925kZ2cjNze32iElJQVpaWmWbXhJAy4GuGHDBtStWxd5eXnVzvj4wAUGBuL06dM4efKkl25B9WZjMMCdO3ciJiZGNLJlyxbMnTsX48ePx5o1a7B9+3bs378fY8aMwbFjxzBz5kzwnOnTp2PatGlYsmQJGJaLr/OfsLAwHD9+/DovxfUhvsEAaXzagAgExff390f79u2lNjhw4AC2bduGQYMGYdWqVahduzaYdsMNN6Bhw4bo1q0bWHswndebHqWlUs7y5Dx37hxVYMHDGjAYoM1mc7Br3bo1mjVrhk6dOiEhIUGa40ceeQSZmZl47LHHEB0djQ4dOiA+Ph49e/ZETk4OIiMjcfHiRUceVsDSwM9pwGCAPFnVCOHh4RgyZAh69eqFPn36YOrUqVLDTZgwAaz1kpKS5Fjv3r3FEAcMGIDRo0fLOXXq1MH1BpSWQJVdUerDgmc14GKAit3O9R/j0MRWyHimNba8mIR1rzyIdS9rqGJ0q1Y2lvHiX3ogOOewKr5FvaQBFwPk00/eOSdT0Do8ACc6PYY2j/8D3cdNR/fxGjTa84lZ8Gt7J3DjAKDlbVeloYkjHdep681EW2tlYxkb1PZDScpGqQVZfqUHhi14TgMGA1RKV3RXrc5o3u9eF+7fzvsTWi6biHYrnkS795+6Ko1aMFqabE5tFBQUyBSHS4aVnMAy7tbKqg1LRBJVfolYPx7VgMEA9Zx4E+LimkuNwPDWrVsxZ84cidtyM1Cvx0DE/PFd3NA+Ef4+tnLhpx1jvj4+PuCompT5mQ3N4uKg/6N8+ngVCpuqKC4GSMUTlNInIJBEwGkWGpBEtJ/gboNw9v034B8ZjdBhv0ej55ah3oinrmD4k2j6j4O44dZfa2f+9L9gwQLYbD+NtH86Uvkhn4AgoFT7t0/PVL5E1UMCFwM0FFt3Qy5fvoyuXbtKDchzcj/7J2q2S0RJfg4K920WYyzYuwnERa3/eOZfr6AoZSdPdeDhhx+W62ngZoNDSHuA8tmDFvGgBgwGSKUrlMWzbdu2khx5861idGfe+TPOb12DwgNbJU5DJPI2rUTup2+hKHU/arS7BRcuXACbXvYBfX19JQ/T/fBh06rAq5XfdDJXAYEMBqgvj9wI3Q2RuL158o9qgaLBk1A85OeRl3gfCgsLJeuioiIEBQWZshYUAa0fr2ugXAN0loReIlwPZvrpjxYh8MPX4PeBG5g3Vmq/GjVqiJMDKfMwG9QIWMnFB06FLeo5DbgYIBVPKJYqHBsbCzahbEpLLl1Eo+f/LQOOGm17IPTuJxDc9Q6hjoGINiBReeipys9sVGRkM2yv5SVu/XhcAy4GaOCo3RDGaSypqalo1aoVOBhhWn7y56Dx+dQIRs2beqJWR61f+P0O+DcyTmfwXIL+hfSmYZj5mY7ay0q5CCUjwxY8pwGDAVLpCool4wy3adMGzZs3l+aU8aKje5C79k2UFJ5H/ndf4vz2dSg5n4OLx7+XkTBHwzyPYB70MWQejBNMMxMVWXR9XsYteF4DBgPUs6OBqH4RwxxI0GGTNWDrwaOk1gto3EKmYnyCaiIoLh7B3e6EzddP0jhFw+a47h+WSq2Zn5+PM2fOyICE+ZGX2ShlsuBdDbgYoDKKq4lBh9QPZr6ID2dO+1msmjAUX98Xj4B96xESEoKSkhLQGOlxfTUe3j6mf9jI2x098DwL16YBFwNkdg7la/0ihgnWXqz9GL6wZwNuTxqKxAh/txGWnSo1Ya1atUAUFxebajqG5dZa4CtEG4hIwPrxuAbKNMCyuDZo0ADffvutHNLsErUTh0iYA5GIsa8i9J5JaPD03xH10oeIfHSmjJBDh09G/UmL5Dz1Q69qQsVNQ1konTB80HRRK+ghDRgMkEpXID82Syr+3Xff4eDBg+JQwGM+gTXFyOo/9gYCtJFvUIuO8K1VB8WZJ1GSfw4lFwqgVXG4dOowT3fg5ptvBp1XVb5moRRQX17GKw5WTuVpwGCA+pNoGPo4XfTvv/9+cbmng8upF+4Bl+KOPZSAk1OTcPrFEULTZoxD5t+mInvlGzj77mtyDvPxqx2i2WMpLl26hIyMDCaZCjQ+vUDO5dcfs8IVpwEXA6TiCWGhNUsMO6PLlIVIfXARjoya5xb8/roVxXeMg5+fn0zjcDKbLvvO+VZm3Lm8Erd+PK4BFwN0h+OWWVPQYOFv0eTNsW6h9o73cerUKRkBcxTMSWl3+Hj1HO1h8yo/i5looEwDZE3Eo2yWGCbOnz+PL774QppROqQ2/dO/Ef3s26hRP9rgjKp3UI0cMVmO+dhszE76j/QpZH5mgwho/1Gy2aMW8aAGDAaoVzzDer6zZs1CcnKyI6mkqABnV8zU1oSXaSPfj2RAwtEwJ6DDf/symrz+peNcBpgfR787duxg1HSQh02bh6GcphOuCgtkMECXcuqapeeffx4TJ06E8ufL//ZTbf23HzLmTZaBBpfe8jaulGW481tXI3PJFBTu+8aQJUfAnTt3dqQ53+zKjjsE0wLOsmhJ1v8v0MDPXeJigFQ8oS5kmCgqKpIBBCeQw7v0xbkv3hHDowOqA/u/0Yxu8xUwrEHyib0JAQEBYDNOMMw8eYxUoTLjWuWnTRtp/9okNOWhLBY8rwEXA3SHZUBUS7cdUouHTEL6ge8QtGsd/JNXCxgu+eZ9GJCeKp7T3GGBoKHD+qvyGnAxQP3TL/0ie41AZ9Rly5aBx39ctdh9h1R3nFa1cyJP7xYD5I4MBGtc8vIW1J0mP4YVZdiC5zRgMECldEX1bLlbVGJioiTRIZUDjnojnkK9e59G5ONzENxjMOomPSo+gkznMlzYqOdlcFKjddcrtG0PGbBw+Y7Ha8b3knTJVPspi6+W7JV/edikHb7SDHuFqcXEdYNKZQRCtUEIKXH77bdj06ZN8k4H9eYbHIKCPRvhHx4ly29hmjFeOLxTXLF4vCQ/lwQlFy+I6xYjwV0GSP+QI+Wa7W6BX72GKL1UxEMOcIs4etuQpzehBCBPhhVl2ILnNGCoARWbspTPDYm4Oxb9Anle+rxJ4PpvzpolKNi7EaSX0o9r4U0ovVyMnFULUXRkD4q1NC7ZsdY79+UyOc4RM51ZOVrmG3XMT4E7btH9X8W9RrWHzV4BSjfDa3yrOaMyDVDpRJolex+Q265lZWXJzWl5569R91djQUfUWp36o6bWtPrWCUOdviNQs10i6JTKZpgOqwTDHCnTYZXHCaYzD7rzhw5/ErnNusrOWunp6SDUSJkPwy+CXW53r1VlVpTXqbBFPacBgwFS6QpXY8n+oDsOqR/NfgU5YXE4ceNtguOt+iOt/Z0uSL9pEAprhYkBco2YUPONV5OjIo/Jw6ZVge6UvyL5Vve8DAaoVwZvBOOKpqamysbljNMh9ZaIAPTtEo/eHW5EYjmOqT3q+eDSwS3ihMCdU4ODg6UG1efL/MwQpwwWvK+BMg1QGYVWIYhEjLMP+Omnn8pKSKmkAoGxbaXZbTBpEUKHTkTko7NkFBzxyGv2M64QXr9y5UrxiGYK46ajLBShCUb5CC1o/XtYAy4G6Kx4FSelLx9dqShTUPMOCBn8O1xK+wEXTx2W/mDtW+5CcNeBuJyTyVMEvI6BESNGiCu+ipuNUkZCycWwBc9rwMUA9SzZL2KcN4WvVd57770Oh9QLKTtx/ImesgcMR7lZb0/D4WFRyFz8jCzR8TrCP6KxNLt8CYlgGvMzI6VMCkpGFbeoZzRgMEAqXUGxY1yFSRnv9Mx8uOuQui0/CN9t/hpb13+G7V9/gYI84+7zzI/5KlRWnA+bwD56VvJch/S6EtlggHrJxRCc+kSSpp20bfZzbjukxn/wB3Re/ZwDTVM3gp9AoF8gwVqR+Spo2UuN6e04+VrwvgZcDFB/4/XiHDlyxPEhGjqktlz0reyO2njiXHE65S6pygGVYYX69z3tOM40Z+dUPY9KDfNh06DKT1qp8lQT5i4GqC+3vkkKDQ0FV0LUjSkpyEOjqe9IbRU17UNZ0+W6MFc8YhYkgyPj8AenSXZcE46euUHC6ofOqXRwYH5mgJLLot7VgIsB0hjKEoHfTmvcuLHjUM6qBch6+0Wc/2YVcj5eIEtsGXMmIjD6RpzRBiQZ2mDEFhAk6UU/HAB3VFUXkwedU7t06aKSKp3yYaMQlE1PGbbgOQ0YDNBF+bomqU2bNrJExnPCOvXBufXvaoa3CPk7PrmyS+q+zeCuqDmrF4M7pAZEtZDRMJfg8r56Tzt3oZSiJDZe3g1hP5BgP5B5VjYonLMRMs2CZzVgMEA9KxqEPq4Pu7NDal5cN5zpmITSv3yDnCnrkPHkR4JTQZGy5Gaz2WTDcn5fTp93pYW1h03P+2rl159nha9NAy4GSMUTzJY1AsME13+5OwLD6av/VqZDqvOOqSFfLETx2gVicNzaIzIyUvqMzMNsYHm58qPkkrj143ENuBhgeRy5ORGnTHi85NJFEhl48A04ertw8HFD3xHimBrcfZAcv55++LDp5aUh6uNW2DMaMBggla6gZ8e0pk2bggYYEBDgOBScOAT0dmZCnf4j4R/RBHSzYv+PaXqsW7dOXkxiGvMjVTBLnEZIWQglm0U9qwGDAepZyU3Q+kVCtQOchuHXMPmuhhaV/4x5k5Cx4CkUn01D9vtvyIiXa8OXMk7Icf0PNySiT6HKj1SB56kwaWXE2fySrwXvaqBcA3QWg44IdBRlerMBw6X5pWNprYQ+8AutD+VsGtAgFgSb5ZBhk+A/8BHZFZXfiktLS+Pl1wXUg3BdCHsdC+ligFQ8wTLpmySmKdCY3HFI/Xj2KyjcvkbeJ6YvIMGP1qh8zERZXtaCSiaJWz8e14CLAZbHkbWXeleXDqn9+/TG4MenlOuMqpxUIy5kiR8g/QkJlUd5fCornQ+bM+/58+fLpkrO6a5xK+WXasBggOrpJ5UM7X1AxmmAL7zwAvihGS0ZdQePlYnm6Jlfo9HUZYia9gEa/Wk5+Lpl/Ynz4eyUyqU3gvkyP7NB5NKqQL1c69evx/jx49GjRw8sXLgQ8+bNg1kfIMp/PcJggPoC8Ebo4zVr1sSQIUOkNmP65fO50g/MWPQMglp1QmBMG1w8cUh2R0XJZRenVC693XbbbbzUnOBT5SQZjY9fBoiIiMDatWtBj/ChQ4eC5XjnnXewdOlSpyus6H+rARcD1BsemyXGibi4OMTHx4N9OB8bkD5zvNSAXGo7cl8cjvy6uTijco04bcY4OUZhfP2vTNtwEJOZmWnuiWhNYJZVIyInaVlQXuHefnGqLFmu9r7uAQAADnhJREFU9zQXA2SB1E1guCwkPD3XbYfUr0ob4kDyNmz6bK0gZc93yMnKKCvbSk3jw6a1wCKDKv+cOXPAN/S4pfAdd9whNd/y5culNuQrBvfcc4+cb/38cg2UaYD67NTN0NMdc//otkNqm+WT0e2TFwxol54srv18U47gN+j0+ZO/t+PkqQf59+rVC7Nnz8bmzZsxZswYjB07Vl7K0p9nha9NAwYDpNIVJFutX3To0CHwlUxumbF69WpJpkNqnVYJaDR+usHZlA6nCnRO1e+WqtJJS4qvLOXRE4aQTLUf8taIo/nzalwrK2tB8iQoBw2uUaNGDFooRwPXmmwwQH1m6ibw+3AxMTHo3r27vBfMuTyeV7vnUPk8Q8gdD6LhlKWInvE1wh98Cc2WHkHMnK2yLMeJak5IKzSZ/iUvdYCj4l27dklc8assKkLofpQcuiQr6AENuBggFU+QF2sEUo6AuTERR4D8zBbTLhxKRuaiP6D00kVkfzgX9AMsyc9B4d7NEj+n2weGe8FckI8b/p2XOsCRMQc2Dn6lWjWkHa2sOPuA5E1oYlj/XtCAiwGWxZO7miYkJIgjKXe5D03ohbwNK1CUuh+5n72tGd0mobD54PQr94OOqYX7v5GdsDhKJvK3rZV05h/YoqP4AnKKgzDDaFI9bJTPgvc0cHUD1Cok1gbOCGjcsswdUtMLL6N4yCQDCv/3WXFIPT3xfRBpkz5ASkADcCqDzgkE+4HOPLwdd1Y5+TunWfGK14DBAKl0BT2rffv2SZSf6mIgY82bbjmk0kG1xoqX0LBhQ7AZ5zsl/FAh8zAd+LBpbXBZ5TedrFVIIIMB6sslN8J+Q1asWCFrohwRM50OqQ0mL5Zlt+Cud4DOqCGDHkb0nC2OsEpnnryGVIFxs0HJpijlU2GLek4DLgZIxRN6li1btgRXQvRpRcf2wS8kAoGx7VDntlHI2/i+thT3H4QM/C18g0NQq+Ot0gdU17Dv+NVXX6notdMKzkH6gKwFtYGQc/krmJWVnU4DLgaoOwatApQ5Oe4Jw6W04cOHS5zn5Kx9E3mbPhAn1OwVM0Ev6JyPF8kHCjnqPb99HU9zgH0+TuwygTfYbKBcFryvARcDpGE4i0EPEA4W1BRMzK1DIbubtkuUHVGVMyrn/VQ4KC5enBVqjHoR9B/ktXyxiSNq5/xNEddqP8qhyq8o0yx4TgMGA1RKd1CtCmTYGfSMdschlTukngsIkY8U0heQy278YqZzfmaIU8XSDGsByqMR698LGjAYoJ6f/iZwXxjWXHwpiefQIfX2Xw1BzxYNceeD46GcTwck3Y1be/d0xLlDavH32qqIvz9CQkJkYZ/XmxHK+JRs+vKrNItWvAZcDJCKJ4SV1iydOnUKbdu2RYMGDeQzDTJnpx0M7joQjbQluNq3JMloOOLhP6N24hANgxF69xOSpp3m+NfvkKoSHXzsCZUd1yp86eM6y2EXzyIe0ICLATrz4BweP81Ab+jLly+LFwvP4U2y1QjG5bxs+NWNlCU5phfnZMIvook2Kl7JqNxQBui+xDlAXqfAdBUmrcw4jY/8FZQ8Km4iWqVEMRggla6gLyXTnnjiCQwcOFCSlUPqD+O64fSLI8DXMzP/NhU//nm0jILzkz/DpVOH5Vy/8CjpA+bl5cl7xZJo0p9SzQpZVsKkIlY5sQwGqC8db4L+hkjcPkcW/+Tsqzqk7mn1KxwZNQ9HRy/Axfa3gu8S0xuauyvo8zFTWF92K+w9DZRrgFcTIXn+C245pDZe8hD8d38qOyLwA4T16tW7WraVeowPm1YBOmTgw+GIWAGPacDFAKl4Qjhqg5CUlBRZhjt8+DD2798vfTo6pAb62lCv73CEdL3d4ZQakTQOwU3bOuJ0Pi3OPCmOBxy8EMzbjJDyaj9KNi1o/XtBAy4G6MyTS3D8dluzZs3AiWTO4/GcoJad4astxXFPmKiXPpJJZ9+QcBkBM85zFHhTOQqmAao001HtYdPLRJn1cSvsGQ0YDJBKVyA7NkuM813gXbt2oU+fPlKb8Vhxdrp8G+Tc5/+SN+C4/Jaf/LlsVsnPNvAcPZKSksDlPOZnRlBWVV7Kx7gFz2vAYIB6dvqbkJ2djZtuugmswTigCIn/HxRnHBfDO791jTgd0OmU4O6opMzLt04YgtomytQN88jJyWGyKUHjM6VgVVwoFwPUGx7LruJ6Wp5DarGTM2pR7wdQmn4MoYc2oOaeT2E7vl+mZFgTEpxX1OdbHj9vpJMHByHO8ki69eMxDbgYIDmpm8AbwjiNhZTbc5BmrfuH2w6pdEpViClKk50V2Kck6KLF/BS/SqW6PqCSg7JZ8KwGXAzQWflcBaEnzO7du2U6hcfpkNrouXdl4EFnVA46arTpjmC7c2rosN+LYyrfhlPHrxRDd5evJMiomkHmW5mUvAlnOZhmwXMaMBigs/LZLwoKCgK9WDp27CiUAxK9OHTBYp+vxo1dUO++Z1GrQ2+UFJ4XNy2eVzdpvPQRGVY16o4dO3DgwAHTGJ+j3HYBVVxktn48qgGDAeo56W8C3wVmM8yJZNaIPC9v8wckyP3iHaF0UM2YPxn5O9fD5heAgj0bwZFx9srZuHzePviw2cToOnfujNatW8t1Zvnhw6aXRV9+fboVrlgNuBggFU8IG63FZJgjWD1t3OcuefGc59TpO4IE4qDa/hap+XyCaqKmPcwa0jc4RJrr3LBmMo1z9OhREPSSZr5mgBTCXl7KI3HHjxXwlAZcDNAdRllZWXDXIfVUjfrY36gbjsb1wZmQaHkfmO8BEzabzR123jlHMz7vMLK46DVgMEA++Qo8ic0S49wbhjVWbGysNKF0SL0lIgC39umFxAh/gT6s0uiQeungVhm8cJPzunXryvXM02zQl1fJxjQLntWAwQD1rHgTGOf7HJyEpkPqjBkzmGTvqkOaW45y+YomHVMbPvsvhP/mRdT//ULxCZST7T9ciuO8nz1qOsKHzXRCVQOByjVAKbvWLNHw+ELRjz/+KP03Dkh4TKZaWndFUPMEGXT41KqDC//ZAZ9gjR7cBv/IJjzNgbIcUmnkZoFDUHuActmDFvGgBlwMkIon9Dw5DxgTEyMOqXQs9dG6bmf//VecnJqE7JVvyH4waa+NwdnlM5A+6zHkrFki+8UwD9+w68QhtVSTVgPLTmgx698LGnAxQD1PNku8GQTTSYmIkVPgN+Nb+E7f4UB58bxW/wPWoPzcK98v4fWEPj+zxCmTBaMGPB0zGCANQcGZMdNVGqdl+KYcByYK5cW5pzSv019vyrjWs9U/cM7yUmYLFa8BgwHqs6/qN4BLi/379wfBsL7sVth7GnAxQIPh6fpETK9KaN++PV599VUBw1oFKFpnGRlQlGELntOAiwGSlV757LuxD/fDDz/wUIWAntXlZcTmnbvS64+fO3cOqampePvtt/XJ1xym4fXs2VNcxCQz7YEj1ZefcQue00CZBqjYsU8UFRWF6dOng+/0pqenV8hE8okTJ+Smk9JJNSAgADR0jrB37dol76DQWSE3N1f40Q1s48aN4KcSuM8gDaQiwInx77//XnioMivK/FXYop7TgMEAqXQFsjyXlS7baQwYMECmYJT/Ho9dK/bs2YNZs2ahQ4cO8hkE1rD0vKHHNQ2Dce4nQz7cqZ77SScnJ4Nv1zHtWsGVGRofN2G32WzIzUrTWmHtkbO/enqt+VvXu6cBgwHqDYyGGHT2MDZ8tR70XuFKRkV9cr9bt27gVm3vvfceWAMmJibKLqr8JNawYcPA/Qjvuusu0AApB9P5ctSYMWOkpmTatYAGTuNr0aIF+Nbf2TNZYFn1KmP++rgV9owGDAbIWoeKJ8guzv8sErNW4eihg4gID2dSheHs2bPiEcOX1eniFR0dDYZpkIyz38kmmAzZNJMeO3ZMXmxi+FpA3qxJz2RlIj/3LGJ3zQXLqlWB0hyz/DT6a+FhXeueBgwG2K9fP+l/8dLYm/sjoN8EdOx/N0a3uIx+AYfQx/dglUK/gBT8pmWJVsahUtbC+OEsOujt06lTJwlbP57VgMEAbTYbRo8eLZ9jaNG2A47HDqpWqBPeQPq8Xbp0kW6AZ1Vv5U4NGAxQEnx80LdvX7B/xH5XdQP7pyw7dWHB8xpwMUDPs7Q4WBr4SQOWAf6kC7OEqpUclgFWq9ttvsJaBmi+e1KtJCrTADlJu337dlQGuNxXre5ANS+siwGuX78efPmcqx6VAa770vGgmt+XalN8gwGyxqPrPZfk6IDAvQA/+eQTbNmyBW+99Rb4wZrFixfj9ddfx9KlSzF//nysWrVKltO4rMZvCnMtd+bMmY5zmdd/Ay6/0RuG+VSbu1CNC2owQG5CyWUohUWLFsnG4vRQ4UvkdIfiIj5rSC6VBQYGon79+liyZImokDUXNzIfN26cGC09V2jEKj93aVhYGPbu3St5Wj9VWwMGA7TZbLIWyhqL3id0GOA6LFcGuDTFj82wxuvRowcmTJiA7t27g/u8cOKae8fwPNZ+CxcuBJvvgoICWVVhfjS+/4ZaNWDVNjxVOoMB6o2ExtS4cWOMHDlSNqfkisigQYOwfPlyJCQkSLPLGvOhhx4CP2TTpEkTNG3aVJawmMbwAw88IC8k2Ww24WezlU+djZOyyEXWT5XWgMEAWVLeeOLHlL3Y/UwiDjzTDVunDsDSlx/HP1+egDcmP4DFzz0iYcavBZ//cZjkTx62Q19K7UveCpTHQtXWgMEAeeNZExGpuzahf4w/6vR7BO0mL8PIqbMx9uVFGPd/SwS/c5Pe99SreOC5NzBq6iwDvffpv6L7k39HyOAp6BYbgiYBBeIlTd5E1Va7VTqlAR8VIKUB6pES2AJRfUehdkio1E57Vy3F7uFx+P7eOPxHgzv04rxHxbC4swJHtxy88EV3fvyQfcRTPhHY13wk2QsPPX9JtH6qtAb+HwAA//9dBRk3AAAABklEQVQDADwUcjrMteUdAAAAAElFTkSuQmCC</thumbnail><scenes select="1"><scene name="6A.12MinMaxProgramming"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="avgLength %&apos;whichList&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input></inputs><script><block s="doDeclareVariables"><list><l>tempSum</l></list></block><block s="doSetVar"><l>tempSum</l><l>0</l></block><block s="doForEach"><l>item</l><block var="whichList"/><script><block s="doSetVar"><l>tempSum</l><block s="reportVariadicSum"><list><block var="tempSum"/><block s="reportTextAttribute"><l><option>length</option></l><block var="item"/></block></list></block></block></script></block><block s="doReport"><block s="reportQuotient"><block var="tempSum"/><block s="reportListAttribute"><l><option>length</option></l><block var="whichList"/></block></block></block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" id="39"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="40"></list></costumes><sounds><list struct="atomic" id="41"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="0" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="46"><costumes><list struct="atomic" id="47"></list></costumes><sounds><list struct="atomic" id="48"></list></sounds><blocks></blocks><variables></variables><scripts><script x="10" y="10"><block s="receiveGo"></block><block s="doSetVar"><l>students</l><block s="reportNewList"><list><l>Grace</l><l>Sarah</l><l>Lauren</l><l>Daniel</l><l>Christopher</l><l>Jose</l><l>Makayla</l><l>Alex</l><l>Owen</l><l>Angelina</l><l>Victor</l><l>Molly</l><l>Jada</l><l>Edward</l><l>John</l></list></block></block><block s="doSetVar"><l>longNames</l><block s="reportNewList"><list></list></block></block><block s="doSayFor"><block s="reportRound"><custom-block s="avgLength %s"><block var="students"/></custom-block></block><l>2</l></block><block s="doForEach"><l>item</l><block var="students"/><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="item"/></block><block s="reportRound"><custom-block s="avgLength %s"><block var="students"/></custom-block></block></list></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="item"/></block><block s="reportRound"><custom-block s="avgLength %s"><block var="students"/></custom-block></block></list></block></list></block><script><block s="doAddToList"><block var="item"/><block var="longNames"/></block></script><list></list></block></script></block><block s="doSayFor"><block s="reportJoinWords"><list><l>The average Length of longNames is </l><block s="reportRound"><custom-block s="avgLength %s"><block var="longNames"/></custom-block></block></list></block><l>2</l></block><block s="doSayFor"><block s="reportJoinWords"><list><l>There are </l><l> </l><block s="reportListAttribute"><l><option>length</option></l><block var="longNames"/></block><l> with long names</l></list></block><l>2</l></block></script></scripts></sprite><watcher var="students" style="normal" x="10" y="10" color="243,118,29" extX="178" extY="284"/><watcher var="longNames" style="normal" x="10" y="334.45999800000004" color="243,118,29" extX="80" extY="70"/></sprites></stage><variables><variable name="students"><list struct="atomic" id="158">Grace,Sarah,Lauren,Daniel,Christopher,Jose,Makayla,Alex,Owen,Angelina,Victor,Molly,Jada,Edward,John</list></variable><variable name="longNames"><list struct="atomic" id="159">Lauren,Daniel,Christopher,Makayla,Angelina,Victor,Edward</list></variable></variables></scene></scenes></project><media name="6A.12MinMaxProgramming" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"></media></snapdata>