data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAFXNJREFUeF7tnQdYFUfXx/8XsdBEBFHEKGJLYkmiMZYUC1heS2IUu0aJSTSCikTRxM8YSzSx+0aNYsMCUYliiQqKvSVqYkmMXzACNlAkWCgW2vucMTvelVvWu3AXdeZ5eC5wp+3Z356dOXPmjC4/Pz8fIgkJaCQBnQBQI8mLZpkEBIACBE0lYBDAkydPYt++faC3s06n4x18mv+uUKECOnTogPLly2sqcNG4XAIFAIyOjkbNmjWfCjnNGtQWr5e9Y7avfv/dhxu5ZVi+M2fOoGvXrmbLiAzWkYAMwF9++QVOTk5c80kar7h+ui1tB/uSjzS0KZFdGhDNr+vll1+2jnRFK2YlIANw/Pjx6NatGy+Unp6Opk2bolSpUlixYgVeeuklnDt3Dv7+/vj555/RrFkzdlPplU3J09MTvXv3xu7duxEVFYX333+fvcovXbqEWbNmoUePHhg3bhwrO3PmTAQGBsLZ2RmvvfYa6taty36nlJqaCjc3N/ZZpUoV3Lt3Dx07dmTf/fTTT1i4cCH7vfKqzjIA7YN3Q1fGCZlT3yhw4X/33sL/V79+fZQoUcKscESGopeADMC5c+cyqKR0//59uLu7s5+zZ8+yV/OFCxfwxhtvIC0tDfb29khOTkadOnVA2rN69epISEhAXFwcg3DGjBmIiYnB66+/zqo8fvw4g40+CSj6rnbt2gw8gpsgzMvLY+NOV1dXeHh4YP369QzkmzdvYu/evfjwww8xePBgVl/1dX4yAB2+OIb8e+nImu1TQHJnu0by/zVp0qToJStaUCQBGYApKSkMHkOvXKk2gqO4vJJrb+yt+BV8qnME6/edO3e4NlUkIZGpSCVQYBISGhqKGjVqFGmjhVV5/fr14F7B3Wx18QkJTDPfunULPj4+KFeunNkyIoN1JFAAwMzMTOzYsQOXL1/mPXiazS90EdR/BwcHtGzZkg0XRCo+EpABGB8fD5p4ODo6Fp8emujJn4djkBu332xfPRv5oHwDHza+/Ouvv9CpUyezZUQG60hABuCePXvYwL+4jPHM9ePqzM5o6vZAkaSSP9qN7OxsltfFxYVdp0jaS0AG4G+//QYbGxvWK5rVHjp0CG3btmUzYJqt0gSFPq9evcrMJGReoU8a2NMrm2anubm5yMrKwrZt25hZhmbGVC/NnI8dO8Y+Hzx4gFOnTrHfIyMj0aJFCzRu3BixsbHo1asXpk+fjrfffpsZjWlmfPv2bRw8eBAjR47ExIkT2Q9Nhm7O90Nj10cA2gfFADY2yJrdpoBkE/tvR05ODvs/ze7FTFh7+KgHMgCPHDkCW1tb1jOy7fn6+uKbb75hg3ayxZUpUwbvvvsuwsLCULZsWZQuXRpJSUkMMrq5H3zwAYNl6NChGDhwIDO/XLlyhS1/EYQNGzZkn2TsrlWrFgeT4GrTpg2DtkuXLqy9nTt3gsajVJ7yktmnb9++oJUaApfaywztjcauD7UaJfugaMDGFlmzfQtI93yvzVwDkmYVABZDACMiIlC1alXWM4KGbjoBKf1OnwQY2e0ISNKWZKQmjUbjK8pLZQgg0ooEqaRRDV0ugfDFF1/gk08+YXWScZh+yL5I5f7880+Q0Zi0KtVPqWTJkgxM0rLZK/3RuPx9RZI857eBaT5KZM+sVKmSonIiU9FKQKYBSduQFqTX6tOQXvZwgtvdS2a7mlbGE39cy2Igk0GbVmREKh4SKGCGoYH6+fPnmaZ7lhJpai8vL7bCIlLxkYAMQFpnbdCggWa9I0Mxjffs7Ow064No2LoS4ADSq4lsgJROnDjB12+NdUdJHksuhSDU8iGwpM+ijOUS4ACuXr0a77zzDquJnAXatWvHTB9kIsnIyGCvZTKLDBkyhE0AaJYsTVgsb95wyWrVqhV2laK+YioBDuDs2bO5KxZpt+7du3PTC9n4+vfvz1ytyAxDRlyCk1yliiIJAItCqsWzTg4g+evp+wJq2V2aLIj0fEiAA0gOon5+fmwZzqNSJczo4InKjtZx2vT7bj/S8u3Y6ga1T4ZtkZ4PCXAAyXlU0oCZN1NQfX0PnC1THxX9F5g0JqsRU+S6HzA4dQGg0yHlk728Km9vbzXVirJPkQQMApiRdh3ekT2RFnCIX8r1hDhkT/VDCb1dcsaus97ykzifcgt3795lWWhN2FiKDV+AHrfXCgCfImgKs6scQHIA0NeAh3ZtQ8c+H7O14LFjx2LK0IEYXeK0orbLBy/BZWdvthRHSVpfNlT43r278FzRDtc/3sO/flocYhUJQ2QyKQGjAO7af4SNCefMmcO8UCYPHYCQEmd4ZV4LjiIxoBlqbUzG+a5y1yYC8FLZ6nyTEQFoyrXKbVELAeBzCioHkDQdAUcp69YN7Nx3mGnEefPmYcSIEfg60F8GoGu/L/DPmqnwWnAEiQHNZeIrP3IJLjk/AtCUQwIVrLC4JZIHxfJN8E/LvuTnlJlCvewCAJKmuns7lQMotTbrs8EYnnNCUeOuIWG4aF+Fa8AnAZDap+U4kZ4PCXAAp02bxs0w9+78g5i9h2R2QfIFLO/ignyYD6aVnHztiaTnHtoKSR/u4mYYcnoV6fmQgAxAaRJCAEbvOciBJPvcym/Ho0/yDiiJQ+A6egUS7avw3WfmtnJWXNKaASglAeDzAR9dJQdw6tSpXOPdT0/Djt0HmPMneTmTg8A3wz9CiO2jSQigQ+3NqYh7r6B7k8vIUFx08mJ7LyiZC0FYaakPrvrv5FIXO9cEgAxA0ojkcl+5cuUCAEqz4JrrLuHvng+9qKUkARgcHMxCeggAnx+gnvRKuQb8+uuvuQZ8kHET22P3s79pRkqe0hMH90OI7e+P6tfpUHtTKuK6uJGKMwigpAEld3pjnfNY5osrA2P41y+++OKTXkeB/Pph5VRXVgwqMPcQF4MuWtQFDuCUKVP4mC878xa27donGwOe3LMdr26bqKiRKot+w9mrN/guNHLxN7a5nf5feXkbXB4QzSchFCdGbZLGnZbW89VXX7H+TJgwwdIq0KpVKxbPRm1Sey1q2y/K8hzAyZMnc+Bysm7jp517ZbPgqlVfwIDWTZCXm2u2P/M2xCA9M5M7uEorIsYKeq5oi0sf7OAAFkb4NLU3TQBo9jYXSgbFAM4dE4CReb8patQlaDESnbx4NFJpP64AUJH4DA4nnvlX8KRJk7jGy717B1tj9rC/pf28M4MHFxgDeo4Lx9UpfWmeKxNaOQLQsRrfACRFJDAm/iph7XCx/3b+NW1GV5uEBlQrQeuU5xrwcQC3RO9mG88pQgHtoZ1Ca8H6kxAAtbekIe7dgjGXCcAEh6psFxq9fi9evGgy3rQA0PTNVvswWQcly1rhAFK4C8kQnXcvHZt3xMomIbM+G1IAQNYkuWc9NgsuF7QICQ7V+P5i2riu74wgdVUSbNVV/0Fiv238CurVq2fZ1eiVUnvTxBhQ9S1QVIFJAPVd9B3t7eFw4wLy8x7GVzGZajTC9evX2WYmShSKw1QSAAoNyMwNkjdM/v0MbNq+SzYLzkxNQs7U7oocUkmcJWx0sJtxkIXooERa0FjEhWqrOyC+z1buDUPhONQmoQHVStA65bkGlABks60HmRxAMs9Q8PI5IQEydywl3cuedpAFNKJExmwlAFL7hbEvWACo5A5pn4cD+OWXX3KNp8vOwsafHgYXpz3CtEVzbkgAFq1ei3j/unDt+zlce4xivb8dGw5n377IOnMApb3qInnGR+x3pvWmHuBRDghACothyDG1engnXNCLYv/KK6+olowAULUIrVKBSQBpDLh48WIW92/emEAZgNlJCcj5JxlOLbohff+PNBtB1pn9spnx/a/3s0hXkgY0dkqRAFCMAdlrVpp02OTcxYat0bIx4OIJn2FE7q8FJFVx2H9x/bvh7P9lW/VEycre+Cd8Gvv73pR9LDazBKC0Nvx4Jd4RnfF3r83836+++qrqp09oQNUitEoFXAOaA5BA8vCo9LjNmXVSclLV/estmJ6RwWLxkRuXkiQAFBqQnWAkzYJL5N5D5ObtMjvghvnfoO/1GEUOqeWCl+F8SXceBJLMMaY2JdVc+x7iekTxWTAdZqM2CQ2oVoLWKc81oAQggWKbd58BSGFzaSWEIsvPCB6MMXorIXZ1m+Pu2aOoGDgX1+ePkPW27PDvccGuilEApcwSJPoAUvsUyldtEgCqlaB1ynMAKVSuFJqjZP4DrN+0jY0B6VVKY7fpIz+RAUjdM7YUV3bY97hgXwWff/45c0iVbIHGLqnWui74q/tG7g3TqFEj1VcvAFQtQqtUIANQmoToA0ivQwrFNn9ckAxA5/b+uB29Al7zjyAxUL4tUwJQisOsFEDpigsLQLJtWuqYSocs0kkBY8aMsfhGUDB32mRPbxE1iZYFn3lvGNJWEoClkI21G7fKxoBxvxxAwx2TFMnRY+EJnE5M4idSklODqTFgnciu+H+/Dbxu6XBDRY0ZySQ0oBrpWa8s14DmAHyxTh0M8HmDBfpWkqrVrIP+oyewYJaSFqLQu4ZAFACKWTCL/yJpwNK6HPywYYvMDrh08lgE5ytzSJXEeefLnXxnHK2ESDbBx8X94o/dcK4bGbMfJjq0Rm0SGlCtBK1TnmtAGutIk5AyNrkMQJqA0BnCFJp3zugALF7zcCnOULJv0IKthOinJwHwz66RfBJCB9GoTQJAtRK0TnkOYEhICAfQrkQewiM3sRAZdOgMOQd8O+IjLF6zjq8F6y/FkRnGvv47yPr9AF74dgcuh7Rnvb89Poa55dNAfP/+R8ty9J3+JqWXNvjh7PvrOYCFcYqRANA6AKltxSSAkkakm7noy88wpuQfBdrTX4qjL/VnxRKA9H96BdO6sKEx4MsbuwsATdxJtQ+TWkiKsjwHcPTo0XzMZ2+bjzXro2RjQJdyzih3+wrycx6dzWaqY3ae3jh37RY/Hovy0mzYUKob1QN/dFnHv2ratKnqa1Z704RHtOpboKgCxQDqMm8h59ueihxSXwo9jlOJSSy0ByVz0bEEgKbvldqHSREJGmXiAI4aNYprPIeSwKq1G5grPWmCo0ePYumkMYb3hBjouGPgAsSV8sALL7zAvr1x44bJTUn1NvXE7++t5TU1a9ZMtTjU3jShAVXfAkUVmASQxoC0o43O7VgyMaTAGNDYUpwpAA2NAetv7iUAfN7HgBRISPKGcSylw8offmQakbyTT58+jWWTx8oB1Ong2mcsspPicWfvo/EbydExYAHiSj/SgLRByVRqsKU3TneO4Abr5s3lS3uKHqXHMgkNaInUrF+Ga0ACUDJEO5W24QBKXVozfQKC8go6pBrqslNQKP6yceOvYKUASnW9+eabqiUhAFQtQqtUwAGkQOQSgGXLlEBYRKRsFkwbzL29qytaFCcD9tUrV5CekanoIl7Z2genOoXzvG+99ZaicqYyCQBVi9AqFRgFcEX4ev5Kpp5Er5iPfinKHFKlnt8Ys5X7BJIdUP+4Bn1DtABQzIIRFBTENZ6znS2Wr1kHilTaunVrpKSkIGzqOLYSYuvqYTAchyERpoRsYQcbUiIAHzfHSFrqtW39cLLjGl6FWvclqkhoQKsoMNWNcA1oCEB67fbp04eZUfQB/GfdDMh3xT1ypbKr35xvSro+ejOLrkonbC5cuNCoPbCoAFRz6OG1a9fYZnra1+zu7m6RoOmUUXoQ1J4qmpiYqGjoY1EnNS7EARw+fDhfC3ZxKIVlq9cyjUhnCB84cAArp/0f14CPA+jcph+LFe313WHYVvDE3z0fnvd7bdQmfkwXaUBjzqENt/fHr/9ZxbUWnVGsNhWGBoyLi0NERITFXaEAlXT+itq1bbXXYvEFWKGgUQCXrvpBNga8+sevaBQ9+Qm6pMO1UVF8NYS0iT6A+mPA4gog9VdESH2CW25BVg7gsGHDuAYs71gaS1ZGyDyiGzVsiIG+TZQ7pNaog/eHfsbD9FLfjB3Z9Xr0AJxov5JrwJYtW1pwKfIiarWGWAlRfQsUVSADUDLDSADqR8daO3sygnFSUaVSpqTgjdwWSK9gY/saJAClcgLAwn2YnuimWTkzBzAwMJDPgl2dyiA0LJwdtUUzUvIJDJ0YgtB//QEN9dGQQ+rVkRtQterDIxwIQGPR8hvHDMTxdmG8Who7qU1CA6qVoHXKmwSQzDA0C05ISMDC8cEcQApOpMQhVQJQckgVAFp2U9U+TJa1ap1SHMCAgACuAd3K2mHR8tWyMeCa6V9hbKknc0i9EvQjc2SQNCBtaDLkjNBk14c41nYFv2KyPapNam+aGAOqvQPKynMAhw4dyoGr4GzPANQfA1Z0d4dbRhLyFDqkOlSpgRPxSbLXrmSI9vX1Zb0jdy3auE4A/tJmOZ+E+Pj4KOu9iVwCQNUitEoFHMBPP/2UA+dezgHfL1slA7Cwe+Pv78/go9Q0dhB+9l3Gm5AAVdOmAFCN9KxX1iSA5BZFh8aQIbowwuY+flnk9XL48GEBoJn7rfZhsh5OT94SB3DIkCFc41V0ccSCJWFsCY7GcDRDvnDhAn9Fbt26FfPnz8fOnTvRtm1b/kl7i2kn3aBBg9gpm/369UNmZia2b38YaUsSJH1K8NGYsPmej3HUZynvPQVFUpvU3jQxBlR7B5SVNwpg+JIFOH8jSwagVCUBSCF9K1SogLS0NGacJp8/igG9a9cuFpaX1mHpu6ioKOaQoL/RiNytDh06BPqMjY1F6yPDBIBFOJ5VhoI2uTiAFIZXmnRUKu8E78ieWO31OdNwBJy5AwTbt2+P1NRUnDhxwuSVkF3x4MGDzL5In4ejwhBS7giOtF7Cy1GbapPQgGolaJ3yHMDdu3fzZTYJwMP3qyKv3Tizu9os7erGDT9ilksMO+xGAGhcimofJkvvjzXKcQCpsdDQULZy4VnZA9XDO1ujfdaGbkQsDp6JZ2PE+Ph40IxcbVJ708QYUO0dUFZeBiAVoTHZunXyTUbKqlKXi2yCNAyoWLGiuor+LS0ALBQxFnklBQAs8hat1IAA0EqCVtnMMwsgrbo8S1FFn6Vr0Wf2mQVQ5YMpiltJAgJAKwlaNGNYAgJAQYamEhAAaip+0bgAUDCgqQQEgJqKXzQuABQMaCoBAaCm4heNCwAFA5pKQACoqfhF4wJAwYCmEhAAaip+0bgAUDCgqQQEgJqKXzQuABQMaCoBAaCm4heNCwAFA5pKQACoqfhF4wJAwYCmEhAAaip+0bgAUDCgqQQEgJqKXzQuABQMaCoBAaCm4heNCwAFA5pKQACoqfhF4wJAwYCmEhAAaip+0bgAUDCgqQQEgJqKXzQuABQMaCoBAaCm4heNCwAFA5pKQACoqfhF4/8DoJYga+pclLgAAAAASUVORK5CYII=

110i

121

The nested FOR loops are the important part of this solution. Details like the starting position of the sprite might be different in student solutions.-50-50

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==true0O,O,X,Empty,X,Empty,X,Empty,Empty