<snapdata remixID="12292629"><project name="Pseudocode Practice 2/13" app="Snap! 8.1, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAIABJREFUeF7tXQd4VVW2/kN6AxJKQktCAqF3gdA7UhQQpDdRQRRFRked91BnHOu8mXFQxwpI74igVOlIrzF0QgJCCIGQkApJSHnfv6/73HvuSXILNxCSs77vfje599x99lnnP2vvtfZa/3YqKCgogC66Bh6SBpx0AD4kzeunFRrQAagD4aFqoFAAHj9+HMHBwXB2dnZ453JzcxEbG4t27do5vG29wUdPAxoAbt++XYDPFrm8ayUyTqyHpelkSIeB8O0wSjR96dIl9OnTx5bT6MeWQQ2oAHjo0CH4+vpadZmXL19GSEiIODb6g77oVaeC8jvn0Ag4B7dBzs4vNW3FTfoF+fn54vOcnBy0bNnSqvPpB6k1cO7cOVSuXBkeHh4OVU12djZu3bqFJk2aOLTdohpTATAuLg6JiYni2GPHjoEX+dhjj4m/s7Ky4OLiIoblmzdvomrVqujQoQPq1auHK/98UgVAt4EzkX/tFHIj12nOGzt2PfLy8sTnaWlp6Natm8MvNCEhASkpKahRo4bD27bU4PXr1wUwAgMDLR1q9/d79uwR1+bk5GSxDQ8Pdxxf9CHyrkYBKD7g0WDAc3Br2F20SQPTu3dvi+3f7wEqAMbExAj0UzZv3ozU1FShzF9//RWdOnUCh+devXoJABGMBB9fCZ8N01hAlxZPIvvHmZr+nRu+RgFgRkaGaM+RcvXqVeUBcWS7trRFHVavXh116tSx5WdWHZueno6TJ0+K+0I5cOCAACNHI37n7e2NChUqiGOaNWuGypUrIeHdxxBexVVp3zm0gwBjXuxB1TkrdJ6Cy2FDxWe8N6GhocLQlKSoAEjngyeWTxafYloTKpI3lkrl8EkzzYt0dXUVgL09eyJ61si13E93H0T2/U7MFWn9mjZtavN809JJ9u/fj5o1a4rDfvjhB9SqVUv8XbFiRWzdulX83b59e/z3v//Fq6++Kh4GTj04H+UNZN+oAz58vJmZmZmoXbs2Zs2ahb59+4qRgDecejh//rwYAt3c3DBy5EjVzYqPj0fHjh0tddfm72kMfHx8lN/NmzdP/B0QECD6TtDx/ly4cAEDBw5E1SpVkPRBe9TzMwLQY/QXgLMrshZPVZ3fqfMUXKg9UPmMo0iPHj1s7qMtP9A4IbxpBGClSpWsbqeORzbyTm2C6YjA8Lb5/y7N+uPKXXcxzDdq1AgtWrSw+hzWHrhhwwbRNmXt2rUIDw/H0aNHxcMjpxcEaHJysrDoU6ZMEQCk43XlyhVMmDABixcvFjeSUw/qgYCj00SgTZo0CfPnzxfHE3y0NARjly5dlPPy3GfPnhUAcLQcPHhQNfSyr+zf7NmzMWPGDPj5+aFBgwY4c+YMGjdujOrVqyH1404qALoP+VBYwOy1b6sB2GkyTgX0VT67c+fOgwcgz75r1y5wLiPnatYo0Xw+wqeRn5l7xp6enujatau4meZC68Knjgq0V9avX68AgcCqUqUKOLclYGjhKHS0OI9lX9iPFStWYPjw4YiOjhbHMVRE60/reeLECdStWxdr1qwR8+Hdu3fj9ddfx8WLF8U05MaNG+DU5dlnn1XalwB84okn7L2MYn+3fPlyxbJziOQDwOug7vg/r5cPDq24r483nL5+AmF+Lhb74tx9Go76GKw2r2vo0KFipCtJ0VhATnBtDcM4soME7P0MXz/99JN48tkOhyp3d3eL3ePN48PCocteSUlOQt4fc3y2RQs0aNAge5sr9nd8UDj3k9MLSyep45yCvPO7LI5QeS2fxo2MXGF8OE2pX7++pabv+3vNHNDf3180yiGH854XX3wRO3fuFBaDT3SbNm3u+6SWGuCTTOfGdK5j6Tfy+3Xr1ikWMHr1PxFyZQOS3GogvVoz1KhV29pmrDqOI8TvMdFokrofTnCC/+R5SPExhKY4BA8ePNiqduw9iMaCVs4asXaE4ujQvbvBE34QogIgHQo6B5TPP/9crFZcu3YNnAvQYYiIiLgvK2HLBbEv9qyW/Pjjj8ICUs5/ORkNK+YibcjnqFatmvjsRvRpXDy402JXvKsGos0TI3H79m0Rr6SYe4R0Vig3T+1F2+MfIq3VeKS3miA+owV86qmnLJ6nvB+gAiCVzcm5FM416Cjcu3dPTOLpDXJ+9CCE3jdDP7YK52pyCI7++gX4956KWs06CG+dANo9uSs6eGVa1Wy1+dG4dOmyCHkkJSUpIOaPaf0IQC4r8r3+1fUIDq2P1JbjxHBOAHIOpUvxGlABkOCjoqlAenheXl4PTH83rsfD1d1DzN14fk6C7QEgvXjpBV/8Ziqc+rwhJukcWji33f98R7T3vadcV8hXB5GyYQ5cqtTErYV/V12v/9xz+P3KVQWAdGikcJLPueqpU6cQFRWFV1oYJuupLcaJdw7Bw4YNe2D6e1RPpAIgwccX5eLRXai6/a/wdXPC6UodERxW3+HJCdevxcE38SSq3buOwCdeQ2J946Sdc87OnTvbrNdVq1YpQ3DMty8Cvf8sAPn7778LAB6Y0hkRfwDQb+gr8G7TB5nHtqKCuxeSlv1DdT6/OQTgFeEB00s2nZPSKp4+fVpYVoZ5ZrRyRW5ergJAWkD+RhcbLCCVKQF4Yu1sDExeiaOtZyI0op9o5V52Fg6vngfkG5bSihSnCogYNQXZOTli/kjhDWPYQgodDf5Pqxuw5S2EdHsal4KMcTMCkLE1W2XlypWKBbw0exrye74m/qeny7ncoaldFQCybc+mnXD31D74dnkK6b/+qDpd5dlnceXqVRFbo15MY6P8jEFvCj1SApDD8u3mYxQLOGLECFu7X+6O1zghMlj7209zEJx7FYFj/iGGGgZvr21ajKqb/qNy510qV4db7XDcObVXpbwqo97E5fDe4uZRGIOTN5CeG2NwBOGOHTvQpUkw2nkmILbOACVuyIfBHgAypieH4MtzXkZu9xmKRWQ/8k7vRWCOwcpbkoyOo8QDwhUfgtd0SsLr4jSBQ3BkZGShAOTqiC4WbJVpRjTBZwTgXHQNdsfZaj3FUhytVfq2pfDa8B9Vi7Qgvl2G4ubXr6sBOPotxNbrCRnWoXfN5TAKQzyMMTHexMAxveu+7hdwsZbB0lIIQAasbZVly5YpALzy/XTkdJ2uAmDcrnW4+es6wEIlgrePD1q9PVeEOfiw0JKbBs95XbTSBOBvv/2G6S2ckZefh+SmoxULOHq04W9ditaAygJSoaYA7BHqjYzWE0TohQHdzB3LVQD0adcfLgFBcPaprJk/VRn9FmLCeojlLS6H0XuWqV4EIC0ILQoBw3BLP8+LiK75uAqA9mTKLF26VAHg1XmvIqvzy+IhYNCWQ+Txl3shoqLRCeED5NmwHZJXqx8sdsT3m5O4Fn9dGYJNLSDXxuX10Lo3S94jnJ2kpoZ8RzohY8YYhmNdbAAghxXKyfXfo3tdb6S3Gi+AQgtwd9dKjQUsqmkC8GJodyV2xhCPvGFM9WHoguutCxYsQNu2bTHAOxbnA40Jqhz67AEg10ZlHDBu/gzc6fiSCJ4znkkgRk7vjYiKxlBStUnvISsmCul7ftBcis/XUYi/nqAA0DT3jtdAx4bCTJSWqftUAKQTMm6cwSPWxUoAEnxGAM5D97peAoBS7sVEomaaQemW5F5QMyR411QcD1ofuSxGC0iQMNbHlQuusT7hexnnAoz5ZwSgPRH5RYsWKRYwfuFryOzwIhjPpEfKYHrUjL4qABY1heD1eX8VhesJCWCbzzzzjCoJgOAjCCUAW6XvFwC81dgw76MFHD/eqDtL+iqv36uGYAKCL8qpDfMFANNaGp/irPhYnFv4T+TnZFnQlxM6THoNqdWMy2mmcyjeOGbcSgC2bt0agypdwZlqPZV2aTHtSQVauHChAsDri15HevsX1FkqfxmCth6GFQxL4vP1ScRfNw7Bpl48ASgtIMM7rTMOaADIzBpditeABoB0DCinN85HtxAvHPVqJ7JEuK6ZsWslfM2cEP+n/1To/IlD8PngLiJPjUKngvl1FAKQwxmHZGZdc5I/xC8Op6sac8/szUVjqpQcghMW/xmpbSerANjQzw3ZhzdZxMWdioG4XaeVmHrQejM4buqEcG5rDsCC/AIkNjaEXjgE02rqYgMACT5zAKY0HwNO7F944QWk/rJYNQd0D2kCAi3+Y+2Tzs/PBXVWPF6ucMhJvOn8id3jOu3QKvE4VcW4CE4A9uxptIjW3kgmaMowzM2lb+J2m+eUpTmC6OSnMxCaeNpicy4VgLrzTiEmJlY8LHfv3hX9lys1BB9ByP9pAdtkHhR/32xoCD5zCGbuoC42AJDxPr7EE7xpIbqFeGJ3QRNh/ThcFuaEBEybhRtfztCchQA8W6eTyKXjjecNo6WjmM6f+D/XmYdVvY4oP2PYheEPe9L1v//+ewWAicveQlKrSSKMRCvOof78W0+q5oC13l2BlE3fw/uxvppQkvvnx3Az8ZZwXhiINs9tNLWA1c6u1ACQOYK62ABAeooSgGc3GwCY1MQQVqBkbFuMwL3zrdKp38g3hAWU6fEEsCkA5c2TFnB49Rv4rbJx5YMAtKcoZs6cOQoAk1b8DxJbTERQUJAIhDNzOPp/BisApAPiP3Q6ktd8DgbO495Wp0+5fXYUibeSRIb02LFji03QrX5ulaj5SWhgWP+lBXz++eet0lV5Pkg1ByQA+RIK/AOA0qvjZ7yBngd/QEHO3WJ15uTihhtNHkdaerqSPWOaGGo6f2JDzFIZGZiIyErGtV8C0J66YaamyyE4eeX/4mbzCaLfzOxlIDxm5lMaL1heDJfkTMV11hHcSkoWFpRTE7msyGOYKc0XpVWrVujvFYsCFCAh3AjAyZMnl2dsWXXtmrJMpnNTzm1ZjG4hHkhsNEJJrb97+gByFr8LVyvKAetOeR+XA5orVo/BbM6lOIzRGnH5ikMzXxziRtdMwnFfYxEPj7EHgN9++60y50tZ/TYSmo5TOSH3lr2P2nFHrVKO+xcnxHRBzgHN09OnT58u2mHuZI0LawQAr9cfqqRjcd6sS/EaUAGQ0X0JwPO/LEbXYA8ccn9MLDdxYT3/4Dp4b5iltOjRsC2qjn8HcTO1qeecA56s0V4pTaRlNbWCHJIJSiYp8LuxtW/jmA/LBQ1CALIKzVb55ptvFMCl/vAO4huPEd42wzpcfWFOo6OF1+B1xFCdFl/fkITKIXjqVHXVmaPPWxba0wCQwyPlwtYlAoD06jZt2iTmQHd2rVABkMcFvDwLyas+xb0bht9JIQCjAg0Z1Vz3ZcFRYYVIPJ4hi/FBqTji1V75PVdKHn/cuDRnrbK/+uorJQyTtuZdxDUcpVT5scSSqf5SZIqWeduHDx8WjA2m/WXGC38rM6vlb5hgwaKkFimGZAwJQF7TSy+9ZG23y+1xKgASfEYALhXJCHsrtBBzNFEttv9HjQVkKCZ1s9YxkQDkOjCHWdapMquEQuu3ceNGRelkWJgQnIbDnkbCIoLFHgB++eWXyhCcsfZvuBI+Qgz3BAlXJiSdCE9Oq7hkyRJxfTNnzgR/y2Gf9b4symbJJed3DEBzZGAoxrRQh+Cjd81r9Dg0F84uzrgWNkQZgqdNm1ZugWXthasAKKP7AjBbDQCUk2o26HX5BHxX/c2qtj3Hv4foKk2UJE4CynQlgfE6vj777DMxx3qmbgYOebRV4mw8vl8/Y3aMVScFRMG5dEIy172HjPABSHWuJALiXGY0BRC9cjo7dDC47Mc6YGY9c2rA41jITkBSL/xtWFiYWMOmcDgnUFlCShBWPDoXYeGNEBdm8KQ5BL/88svWdrvcHqcBoFzfvLh9GboEeSAudJCwXlwN4FqqI4WWkNaD9bvPht3BATdjxR09zv79+9t8OjoEciXkzk9/R7BrGn4JHCssGueVMixUWMNcy2XhNwvKaR2LEoKPdcEckvmedSUKw5OXIC50sAJADsHSSbH5IsrRD1QAJPiMAFyOLkHuOOjWWgxRHD55A2V+37Zt2zBgwAClYsxUZ7QotEJczaCQZ4YhEK7tmtbecvLO4ZFD2/P1s7DftbXSDAHI9m0VVsXJJb97Gz9CN/dY/J5bCTe8QhFYAmWZV2IvopvLBdHNuKYTcSXAEMukBder4izfPRUAmaXCFyVmxwp0rOWMlOZj8e9//1sEVWVuH78nAJklTEBKoiKCi8MV06s4NDFORjDQgjLATcvCG0OR4ONkn6ntUxrkYJ9LK2W1gU6LPQBk+8yw4VBa1dcDnlGrLGvBAUc4efkho9EgkUHNVROuHskHwQHNl9kmNABkmSElducK1Mq6hMRm48RSGW8oJ/LSC+RxnDfRKhKYXG3gOwt1OG/icZxfcVjjcMTfsx1aRQ5hzCJmySffPe7exNPhbvi1gpErhgC8H24V9o99edDCLB8O97pYpwEVADlxlishBODo3C1Y5DkUHkHNxZPdvHnzYlulJePymemKgfkPGMzl9zLJlRar8dF/oFG/CdjjZGyfMUN7akKsu2z9qNKiARUAjxw5IoAmkgf2/YRRWT+BFIi7c8MRFFrP4WWZCdfiEHgnFkEuqXDrPQO7CgxODh8CPZOktECkZPuhISdiWSMlOCgIFaM3oCCzaG/QkV3LbjkSN1PvCPCxHpjesS5lXwOFsuRznsbQiOREeVBqYGDXnkq4B9U//TyO14C+T4jjdaq3aIMGdADaoCz9UMdrQAeg43Wqt2iDBnQA2qAs/VDHa0AHoON1qrdogwZ0ANqgLP1Qx2tAA0BmRTMWZy33sKO7xGU6rrg4egsqR/dTb88xGtAUpjPx0jzr15pTMY2JwvfnnntOrMOy6JwxRe5fYYuwD/awo9pyDv3Y0qEBzVqwtDzc8IXZwwQDOfdI28/EglGjRolsZqZnEVzcO65hw4aYO3euSE5488038eGHH4oMGCYgMJHz008/tbiTprk6uBZcXO5e6VCf3ov71YCGpFwmYnJdmGD717/+JShqmWTA7RrIVrB3717Bf0zych7PfD4mIrCQnH8TrEzFIiUbgTpx4kSb+8lk1ZLY6srmjug/KFENaEjKTVnymevH/1kVx8wUZkUTdLR6fDGThVktJJ9kfh/zASWZo0y/ZxmmzAG05UrsJSm35Rz6sQ9fA4Wy5LNbri4uOLx2LpBr/+5Btlxe/a6D4eNvIDKiEID2kJTbck792IevgSJZ8k+sn48+8Ytwy7MObkVMR5qzYXtQR0vg2RUIS9gO994zcDnYuLeavSz5ju6f3l7JakBDUi73C45cNwdt03YjechXileccukszsz7xCp+wC6T30BmjUYaZgR5OXIHIrEJ9p4v0Lhpc0FSLoVUwXpCasne/NLQugqAvOkSgGTJb+B2G5UGvy3mgKyIu711iYof0LlydVTuP0nDD80LY12wOUm5ZMmXu1fS0ZAk5X3cziOmtrEKjn3RU7NKA0RKtg8aAJpu00CS8pha/UQtB7OkM7YvU/ED+g2ZBveQxkjZNA9Z59V8K5KkXO4uxMC2KUs+E04JwJ9//ll4zY97RDuEJd9R6lq9erUoLmJpKOtddCkZDagAyHkXX5Son79Hj1ByRE8Qiamkqbizc4UKgK4BQaj+0qe4/n/PIz/TUIIpRZKUs2ibhTqMIRKA9IpZ+imY5f8gKSdLfn+vGFyoYeSC4c23h6TcUWqiZ89KQHr9fCi55QKnCwwp6as0jtIyoAIgPU8JQANLvgGAUm6s+w6Bew0kPJaE/IDcpkGuqpiy5LP0k5aRIRyyr5KkfKDPJRVLPgFoD0m5pX7Z8j03p37//fcVdn/5W8Y6Sb/Lh0nfC8QWjWqP1QDQSFJuYMlPa2lkeidoXH5dbhU/YEqbQcjIyFTS+gk2uWctLSDZC1jAzg2muY3CkxV/x9nqvZQeErClFYCMd5KAnBV++nZcDgSgliXfU9l8j6e5dWQbchZZxw9Y78UPcbVma1UlnSlJOWktuJS3ZcsWAUZHseTfnzqMvzYfgrnpDIdgVutJkiVHnas8t6OygLRI6m0aPHHYo60g2uFQU9hWXbXeW41rf31ao0NzlnzOo0wByBUWydvHd3OWfFpAe0jKHXUzdSfEUZosvh0NAI0k5QvENg1JTUYKANJRMPeCSc1WeeDkIknKzVnyiyMpJ0v+Sf9uSm9pHe0hKX8watPP4igNqABYGEv+AddWIgxDnmTzveLYCe92/ZB5eHOhFtCUJZ/zvuJIyp+ulqBiyScA7SEpd5Ri9HYejAZUAJQk5WLL+T+2aUj+Y/M9dqfCuf3wWv6uVT3zeeYDxFRrptDyMjNGhi9MdxliY2TfGhFwU7Dky3047GXJt6pz+kGlRgMaABpJyhehazC3aTDueetSwQlx+7fAqSDfwsBeAbU69UNWdo7iBRN8kuS7MACOqnELJyp2UtqlE2APSXmp0azeEas0oAIgwWfKkk+O6ITwoYLBiqGS7KObUW3TLNWG1UWdxX/kGzhTu6NCCs7hXZKUi53LDx0SP+XyHL1Kc5Z8AtAeknKrrlo/qNRoQAVA1oPwRTn/i4Gk/Jh3e5GAOmXKFNzbt0bFEc2lOLda9cRecYWRlJuz5JuSfhOEDDZzDw86OWTJP+odoSiGVLg6AEsNTkqsIxoAmrPk7y5oKsglmR2dvn2pCoC+XYfBf/hriP9gdJEs+QQZ130ZVikqfia2NnUQS36JaUpvuEQ0oAKg6Q5G0dtIUs4heJjYbZxxPNcTmzXbNFTsNQZp25cW6gX/FtBWsOtTaFnNScr5ORlSOT+cGJIuSMql2EtSXiJa0hstMQ2oAGjqHERvW6Zhyc+5eAJ+N85a1RmXBu2R7BeihF64fso0fimsGZEs+WJnydBMHHR/TPmeJJb2sORb1Tn9oFKjARUATbdRlQA84tlO1Hxw/ZN7ZjhamCEjSjnr3XUIS76j+6e3V7Ia0ADQSFJuYMnn1gNRUVGC8X3Hjh1i+1UK99AgxzMtG5fwuMwmrRw9W7klAvfnIEt+REQEAgMDxY5JUuRGL5wnkiWfJOVS2JY9JOUlqy69dUdrQAVAc5b8dlWykfbYc/joo4/EvmcEmtzohSz53H+XAWZ+TjDSc2U9MEm6aS2Z3sXQC7Os9+zZI0o5ZdUdq+iYK8j2uA0WWfL3OrdUrs9elnxHK0hvr2Q1oAIgmeVNt2lodDcKkXXHisRQOigsy5S7nvM40mjwM4ZUWET+3XffieAxHRaGUMiqz9JOgpRtS4vJz+QuQ3x3i92NQe0bOJQlv2TVprfuKA2oALhv3z6F4f7SrpWCJX+91+O4VKEOwsIbiNrf4oSApBS3yxDBJ3cZogWsWXALjX/7DJX7TMNuNFOa57ZY+nYHjrrNpbcdzRyQIGQW892EGPQ6/bHoeWq+O47l1MS9AqMXy71xneAk9sg1FbLqWysNXJMQ4mJI5XfpOV3ZpoFzQj3T2FotPtrHadixOCSSloPDKGN4prG7krxUBrvpePCc3CVT32WoJLVdetrW+QFLz70olz3RAVgub3vpuWgdgKXnXpTLnugALJe3vfRctA7A0nMvymVPigQgVzVIscsgsj3C1HpVeMbJSUm3L649er9kTNClfGigUACS7dTHx8di4LmkVMSsbBZB8aVL2daABoC0ely/lSwG5pfPzBUyFpgmFZSEilggpROVl4RmS1ebGgAysUCCa/ny5aJ4nOu9zBVk+jxXKVheSRZ8MhowTYuUHSQqZ35f7dq1bWbFL0olTAPj+rEuZVcDGgByHdeUJ5pJB6zlICgJNK6UMCWLCaNMsWf5JK0lV0wITP7NDGpHCLNpdKJyR2iy9LahASDBZwrAh9l1naj8YWr/wZxbA0AOsRKAGUk3cG3tJ8i/k4a7zj647N0IeU4uVvVM+sAyYYHvhUmNrEuokn1dfNVw4PNwCu2gHKYTlVul6kf6oEIBaOSJno0BSStxov5zqNTmSVT2ryIKiDw83GEWZSlUCcnJSXB2LhqwzCPk0H771C40ifoCvj2n4lLQQKUtJkToTPmPNL4sdl4DQILPlKi8YWYkKk2arTR0dffPyF70DlydLCdehU/7GPF12gp2VArnkpInmuBj9gudGNai1Eo/i3bBFXWicou3rGwdoAEgrQ5fdCbIlN+hei5iggcJJ4NxubStS1Q0vZ6NI+A//E+49p6RwkOqqDiicmZIMx1f8kSzZqSv+wVBVC75YXSi8rIFtsKuplAAGnmi56J7XW9ktpkoVkQIQnOKNgKw6vh3kDj/r0USlbNOhGCj12xOVM6wD5nySf/Wz/Mioms+rvSTlvhh8kSX/dv/8K9QA0BzonLS9Ga0niCC0xwuzYnKPeq3gntYC6Runq+5GklUztggLSrBxrgiheGdkydPCorbb7/9VgCwtBGVP/zbU/Z7oAEgPU++KCfXG3ii01sZeaJzInfCY+lMqzRT8dmPcDmwpcKKRXYsLvFROO9r1KiRwhPdtm1bQVR+LqC30ja98YfNE23VheoH2a2BQgFoTlSe2mKc8QT5eYjdvR5O+XnFn9SpAsJ6DkHWH84GD6b1kxRtBCC3b+C51q1bVyhROQHYo0cPuy9O/2Hp14AGgAQEh0rK6Y3zhQVMbDQCR48eRYcOHZCy50dU3fQfqynaout2A4vTKZzTmfJEc8WE3jBrUHjM4MpXcbqqEXBkSdUBWPpBdD89LHQt2AjABehe1xORFTuJGl8WlidtnK/ygskTXeMv83F5qpFYyNQLJk80GREo5kTlzHphmSbnnaQBfsr/Gk5V6a5cDwH4MInK70ex+m+t04AGgKxOMwfg1uxwASJuWZW3f60KgDxNwLRZRRKVkyeaVpUUbXJ/YTkHZIKDFJaCDqt6XScqt+6+lZmjCgUgU6EoZzcvRLcQT7FbEgPIBFDW7lUaAFoiKmcWDYXOjTlTPr1jxv1oAUlUTp5oKTpPdJnBWZEXogGgJCo3AHARuoV4IKnJKKWBClfPIuiuAaCW5G4dncW8AAADbUlEQVTNRohzr66i5pV1xuY80bSAJCqPrNRZaZbpWDpTviUtP9rfawDIeZnRAhKAnrjVeITxKpPjEb3kU6v2DG43YTqS/OoqsT+m+UuOQA71nFdKIVO+TlT+aIPJnt4XCkAjT/RiwZS/M6+RiN+FhITA5cQW+G6cpZzL0p7Bp2pGqIjKTXmiGYjmMMv8Qlq7MbWScczHmA1DijedJ9qe2/ro/EYDwMKIym83Gy04/gYNGoS8A2s1ROXF7RlsSlRO6yqZ8s1VdObMGYyrk6ITlT862HFITzUAJA2bkajcwBN93CdCxOqmTZuG21sWqgBoac/gqMB2Ykhn0JnWztQCml4BATghOA2HPdspH9PpIU+MLmVXA4UCUIZHSFTeJcgDNxoMUzSQu3c1au5faJVGuGcwLaAkKiewTZnyX3nlFURGRoodKJkN80zdDJ2o3CrNlp2DNABUE5UbAMjNahhE5lIawyUFOxYiP/uu0IIMo0iVyP+dXN3g3OdZwRUo8wELY9ratGkThg8fjsOHD+PZsDsqonJawP79+5cdbetXotGABoBco+WLcnH7csGUvyE9RKzVks2e1kzu+cacvqJIJLmOy1UOKSz3ZHUdh2JTIai5RMe2SFS+37W18jUTVnUAlm3UagDINCkJwJgdBqJy7hXyySefiG3quTxmyhPdtGlTsZ67fft2DBkyRACJ+X/0mAk2rqDQ8eD3TGhlvE8KcwMJPiYokC11cni2TlRetvFm2QKqicqXo55zItB9urB6rANesWKFsHocaklUzpQqJhUcP35cEJNzDzgOtQQXHQjuM0crx3eCbeLEiWI/On7PAiiCj0M0aXtfaHhPRVROCzhwoLFGpJzdm3JxuRoLSEsknZDYnSvRKfsgNgaMF3FAzsnMC8Vp3TgvlFtxcVmN80WSljOLmsMug8/8nsM325bgU+aLTk5w3/81OnftrtD0UvsEph4HLNs41ACQQ6V0GiRReWyuP6KCR+BWnmeJaKNF0k60uxcJt94zFKJyuQ5siRi9RDqkN/rANFAoOdGCBQvE3K0gOwM9Pa88sM6k+jXA8SRnkZzAlRGm6+tStjVQJD0bd0Ji+pXp/m4PQhWi7uTOHTBFX5eyrwGdoLLs3+NSfYU6AEv17Sn7ndMBWPbvcam+Qh2Apfr2lP3O/T//Ul+2wASG5AAAAABJRU5ErkJggg==</thumbnail><scenes select="1"><scene name="Pseudocode Practice 2/13"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="calculate variance %&apos;nums&apos; %&apos;mean&apos;" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%n"></input></inputs><script><block s="doSetVar"><l>count</l><l>0</l></block><block s="doSetVar"><l>sumSquaredDiffs</l><l>0</l></block><block s="doForEach"><l>item</l><block var="nums"/><script><block s="doSetVar"><l>diff</l><block s="reportDifference"><block var="nums"/><block var="mean"/></block></block><block s="doSetVar"><l>squaredDiff</l><block s="reportVariadicProduct"><list><block var="diff"/><block var="diff"/></list></block></block><block s="doSetVar"><l>sumSquaredDiffs</l><block s="reportVariadicSum"><list><block var="sumSquaredDiffs"/><block var="squaredDiff"/></list></block></block><block s="doSetVar"><l>count</l><block s="reportVariadicSum"><list><block var="count"/><l>1</l></list></block></block><block s="doSetVar"><l>variance</l><block s="reportQuotient"><block var="sumSquaredDiffs"/><block var="count"/></block></block></script></block><block s="doReport"><block var="variance"/></block></script></block-definition></blocks><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="56"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="57"></list></costumes><sounds><list struct="atomic" id="58"></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="63"><costumes><list struct="atomic" id="64"></list></costumes><sounds><list struct="atomic" id="65"></list></sounds><blocks></blocks><variables></variables><scripts><script x="150" y="55"><custom-block s="calculate variance %l %n"><block s="reportNewList"><list><l>2</l><l>6</l><l>8</l><l>12</l><l>16</l></list></block><l>5</l></custom-block></script></scripts></sprite><watcher var="count" style="normal" x="10" y="10" color="243,118,29"/><watcher var="diff" style="normal" x="10" y="31.000001999999995" color="243,118,29" extX="80" extY="70"/><watcher var="squaredDiff" style="normal" x="10" y="144.000004" color="243,118,29" extX="80" extY="70"/><watcher var="variance" style="normal" x="13" y="253.999998" color="243,118,29" extX="80" extY="70"/><watcher var="sumSquaredDiffs" style="normal" x="156" y="19.000005999999985" color="243,118,29" extX="80" extY="70"/><watcher var="list 1" style="normal" x="326" y="16.000005999999985" color="243,118,29"/></sprites></stage><variables><variable name="count"><l>5</l></variable><variable name="sumSquaredDiffs"><list struct="atomic" id="87">45,5,45,245,605</list></variable><variable name="diff"><list struct="atomic" id="88">-3,1,3,7,11</list></variable><variable name="squaredDiff"><list struct="atomic" id="89">9,1,9,49,121</list></variable><variable name="variance"><list struct="atomic" id="90">9,1,9,49,121</list></variable><variable name="list 1"><l>0</l></variable></variables></scene></scenes></project><media name="Pseudocode Practice 2/13" app="Snap! 8.1, https://snap.berkeley.edu" version="2"></media></snapdata>