<snapdata remixID="14886246"><project name="Simple_Project_Adding_Numbers_In_A_List" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Simple_Project_Adding_Numbers_In_A_List"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="sum_numbers %&apos;numbers_list&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="numbers_list"/></block><l>0</l></list></block><script><block s="doReport"><l>0</l></block></script><script><block s="doDeclareVariables"><list><l>total</l></list></block><block s="doSetVar"><l>total</l><l>0</l></block><block s="doForEach"><l>number</l><block var="numbers_list"/><script><block s="doSetVar"><l>total</l><block s="reportVariadicSum"><list><block var="total"/><block var="number"/></list></block></block></script></block><block s="doReport"><block var="total"/></block></script></block></script></block-definition><block-definition s="reset" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>how_many_nums</l><l>0</l></block><block s="doSetVar"><l>list_of_nums</l><l>0</l></block><block s="doSetVar"><l>sum</l><l>0</l></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="57"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="58"></list></costumes><sounds><list struct="atomic" id="59"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="0.3732503888024894" y="-0.0933125972005655" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="80,80,80,1" pen="tip" id="64"><costumes><list id="65"><item><ref mediaID="Simple_Project_Adding_Numbers_In_A_List_Sprite_cst_alonzo"></ref></item></list></costumes><sounds><list struct="atomic" id="66"></list></sounds><blocks></blocks><variables></variables><scripts><script x="30.77777777777777" y="11.351851851851833"><block s="receiveGo"></block><block s="doAsk"><l>How many numbers will you be summing?  Type and Press Enter:</l></block><block s="doSetVar"><l>how_many_nums</l><block s="getLastAnswer"></block></block><block s="doSetVar"><l>list_of_nums</l><block s="reportNewList"><list></list></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="how_many_nums"/><l>0</l></list></block><script><block s="doFor"><l>i</l><l>1</l><block var="how_many_nums"/><script><block s="doAsk"><l>Now type in a number and press enter:</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="list_of_nums"/></block></script></block></script><list></list></block><block s="doSetVar"><l>sum</l><custom-block s="sum_numbers %s"><block var="list_of_nums"/></custom-block></block><block s="doSayFor"><block s="reportJoinWords"><list><l>The total value of the numbers in your list is </l><block var="sum"/></list></block><l>10</l></block></script><script x="33" y="281.68518518518516"><block s="receiveGo"></block><custom-block s="reset"></custom-block></script></scripts></sprite><watcher var="how_many_nums" style="normal" x="13.395833333332575" y="13.395833333333364" color="243,118,29" hidden="true"/><watcher var="sum" style="normal" x="393.83749999999964" y="276.89188035833325" color="243,118,29" hidden="true"/><watcher var="list_of_nums" style="normal" x="20.09375" y="140.45531517916686" color="243,118,29" extX="80" extY="70"/></sprites></stage><variables><variable name="how_many_nums"><l>2</l></variable><variable name="list_of_nums"><list struct="atomic" id="125">1,2</list></variable><variable name="sum"><l>3</l></variable></variables></scene></scenes></project><media name="Simple_Project_Adding_Numbers_In_A_List" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><costume name="alonzo" center-x="45" center-y="60" image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFoAAAB4CAYAAAByzOU/AAAQAElEQVR4Aeydf4wd1XXHz7wlxT8ga7ymRSLYQDBxRAjGrVITaLyoqpXQqjaov6BqeQj+qJICixQoVdXaTn9BShVjqqh/kHpcVNKqVbJUKlBQlXUDeBNVtilpYwIlxtTCxbtmjYltCm8n53Pv3PvuzJt5P/a9Xe+uPZo79865P+be75w599xz78xUpMOtunbJxdW1ywarnz5/dYdZT+vkbQFtwR2Iq2sHJkT6fiiSfEsmJ/dwXr1mYCvxpzWKbTS+JdDVa5YOKbh7taxb1fWrC/d+SeRujf+hcvnmMOJMOItAU6CVY2NJoq9oFg/wwoV98rHLFgu+0oM92VRdu3RvdXDJkoB4JpgiUAp0de1ArGngYvVEBpZ+SG6/5UL56gOr5P47LzY+59BNAnOIrpKTffvPyG8DRuZQCLQVF+JBhoO/dN9H5bqfzTIr59Cv/VSG3q/ye+QM2BmcpQFoA5AVFyblRRcukLvuuEgWLewz5/kD9Dt+80LD7UHcGbADMAg2AK3cuJUIHHIYMQGYw0+9JV/c8gO57e7/kj/68v/I4984JGNH3ieZcXD376lIIY8hiJwBOwUCLwO0yuWqEtepM7vj5Ef/7qA88fRhGU+BfePgSXl257jcq8A/8Mh+D/gq7SS5MWfANvBlDhmgNcaraMhdgAPk5787oVHF+8uv/sgADseTYrmKmjNgg0TWeaBTbl5BNBy58XM/KbtfOiY5kHeI1C6RSG7UdDvV+R2Oh7uPn6jJGbA9LD7ggVaK5+b165YKgMHNSnf7znh0vBqPTuyPd40Pa3hQJLpeRF5XZ3a4e9ujb5hwO2CbhKfJwQCd5+ZVKxcL3HlCuTPF4agsqG1Mw96LR8dGlL5aInnCEQE7L0ZcnPr92tmOnI6DGgO0AuC5GXAf1A4OX+npHm2MRyYm0pOMB105nJugYsVGPbPziA3oEc5mYKNBt/fLycppB7YD2shmh0TOv81wbo7YcLqgNqQ0I0a4Sfu0k9Rzs6P6ZcFmBFkZMZGnyaFi2xltsX7mqJ1ddH08Oh5nqCUncLZEMizptu+VH6Uh6wH2zTdeYE/MMbpKRVZbZZvkc/xggI5HxzYrSDeKKOBGo6hdEo+OD8bIYOlgSwQRImzIefzQrR8cENTGgHbr6WL1M0DTcJWzqkmMbbb+xH5onbjUPmJEEOohsrkoP8P1q688N4jC6jfAQCmgzb+gB7qbpqX2kc2uDNRDhu3uPO8DNjaUgL7dlBEQ5luwa6CNqjY5iWzuBxzMpogIwmWOm5AbPYpR+3SarCzPXKd3BbThwpN9exUELzLuumN5qaVP0/m9AGy9UZVhc+N8qvkTmDLQ2okNwoUKhQFZfblFtYoy2Ux83pGWPHW6qn3v9c1LTWRKQCvIKo91ghZTaIoSejIqXHratkeeDZ89v54+kQ1VnfCtE6YpNMPFdgQ0s92q++pAI9nk6omGcaeKCwBztE59DFgZtU8nfPU680oTaRto2/A+5PE6ByQdH53amoy6ZmMPqM06nBiw1PLjLTddIPNZE2kJNJ2TPspoFdsVJu2w9Kg7ujDzhchZPTX7c9+ZkG2PHjCzMJt0FoaJgc/fv0+wArYCvaBzFPoArm8Kn+OHpkB7rULlpmsnogJ5HGoXgIi172uPH5Q9asN2afGxe2DTZvqLGwGtzBWAPW8MUKVAG1ExOblHQfFaRdFsOCICEDGPatpgT17Uk6PqzA7g3IhWYPOENGgiJ/u2mkLm8KEQaBUVNAxR4ZuGZoA8Xrb0Q57GDAycDIieGMnDaqM+Lx49sjoeHWcdwm0a5wEH7NCyp3ENOx3rL6wbCOlz3ibSALQBWXt910o6vC33fVTQDBwNH858ROVxBmSR29RWMhQHtmsFO5ZKRWdjxIO9TWdhmMGhnDJH50g/UI+f2zaRSr0hIkZcBCCjBeQ7PNIzgwJnEk6dglhuUo1fOLw3BJubQweZ5i31CmwiW02/UZpj9kZ4oNGRtZqIDPXEqFqICjooCHR4z4yMm7UdTMRCS91RQIxbmFQN2CJMDggbnSaih3CZ49p0unTAaZp+o4l0aRNBk1GmitWNqJsRfd0DLVHfkDbGqG80bL3KSICF81g4g6r29W8e8ms7NK3udHi11SmIet58j5lEiMTPL1J2KxFCn8ANp05p6VrHLm0iOpWmZbHkjTHB9uo1rJhVyjTudaATWS3pxqONaIBzUc3cwpk0Gg9RscV2eBOd2a4TM+Wl+UW4DiueKLCZK9ZEKjpCbZarOK56zYBOTqhNJYxOos1weUjqdbjiC4xkq/iTsoBycJTco1rFxTGzMgXJUhFUEGNJLFfQEE+PemLWjSCWzEmTA5pIj6bC6JjzV1J9vU9vQJ7cu3MPtGoLOvqLrhc7ncXjvVMiedics35jQe08w8G7jmwNtQpJNzoplXcTdlH6QKKcM1wGeowIETETuWSnc8Vv5bBzZ2wiIrfqdXy/0iq/iQ+eXDp7Q+MQycwALbrF2qGp26ygb4yZM9w1PhQr56obKQJXs5gdkOmk9ETlpx7ZE9mgoO9V8Ms6G7UAkrB9riY1mkhG7VMtqck1yJJ3yGVDQ4U0AQ6mvgSmx3mO7qr4yQRuqINcLwza9iIg4hxXP/edt+u5WoQAO8ONItuVs6lD05z5J4y1hYwTXCY1/xaJFRfdld8boCXxFcQOklu+SwW3F4GtEZ6rw0U3Sm+6o/ahiYQgSSKxebKa5jzrYheNOYEwYOOnzrcjPe+Z1yOgI68BYPug8gARqGRUuHGwsaCm/YJ4DYTRJgnbcYBdqGM3e4cmmlztyl600DYdjcbRJEp8vKf1KGCv1nVhiVfxnB2DBuTA7keOh1wXM1SPJJZ0e67J8uA0ScZz1wiIqj1URkpVtaSyxKUlL+HlH1mAZ13QUVpC746VnhRlOdMUxSJ1uJoTGlMA9nAGiKS2lbQ4LIDtqHqkdY5rIK7cuYjqyKXWvsSLhmVLf0LYePrwU7ciU7eU2AuvJ0CnnIlKaOoUigCA4M0BE2EPK8JFjlavTl60USKddIouDzp2g7UvN++YAuhFw7KBuhUy07GePMunceX3wu8J0KYiiSBvhS0vAuCaRq7TR9y/5hx5rs7npbx2HKpamdpntAk77EYLMu9IUidXLsN8F5ZAjntaDwI9AzpV10o7NriuAezJyZGqsTPUfGfKcN+Jnk7bV6j2rV2q85zJtwSRInZbv26pDaRHnro0qF7kNRM96dneM6BtjaKmnNkItvSLedWO98ttCRx3/+c7eB27RQv7zMumGVEQAEyBiJi8bX35RxYSZd00dYhTAhrNAWdrFh4/8BpEWccG2CxPyKl+YSGy5pMfzpx3cgLYcHa+fPRm9HtETL68LEfLunx8L847AhpwdeAxomraHpyG96v825x2NGI7NtnpKlbGmSxPeGjTSmF6zA06AAYZi+Eo13BXXNs++ZmwoCzE1V9sutxweiiXw8KQ0a4e0KvGwkeod67SUVHJJCO58I7rxG2ySXj/e+0yB3jsymxm2IfzeIQfUhC2P3yFebecAcj6wQGXvSsf8CiLJ4hwq8JyN8Grga3ytRvfIdDiFX7JbtqbW8Blmq1g2cv27iwjrhJpaTeRDrfOgI6SYVc+j3r46Kd07dxkQxqWVZctcsFZ7+fquiJvgOq2AZ0BnUx6oJkdWaajKx59ZCHAh5XhfH2PxEBY7nSFEWUZbSWq9JSrK51UPO3sdrg8w0+/ZYIAync86HjgcoCnM6LyJsEcOVyX+RxG1FM53RHQFq8aHaIZmDC4CGdH6Hjo4AC+nQ7Iljd7jpkXnBLZ4LSpXtSwY6AtV0d+YIIdudVMdi8qOhNloBaGap6819czru4YaNPgBR8AtJnzQ1a3M5Nt8s2Bw5org8FSD7WPKQEdY0cWQYQIG0sSOjVvkm8WOV+VNZ8MX82TnnWIUwJadLNGpLp5k8UwSp7z+6rLFhvrXtqQ/l6NEqcMtK1IZcj6Itg23OyKo81VHxNBUPfBIDzlYGXKOTVjPDqGedPbNp4ZGVfq3N9zo8S7sfF026qugLYXj7ysZuHifJDVcHRG+5icHO5W1esaaMvVdVk9X7gaA5dlJHNcoaqeN5YZSoeHroG214u2Wl9k90tTM9q7/LPFR6dmhOvrk+gApgvzaW+ADmbBGS3OB/EBwIxwsZETNo5FOs3WjZhExYeeAB1bvdp3imNH/r/4anOQmput6Z+qCOkJ0Aa/SHQSVMyW//qMIc7RA4axzFtiiYqQtcs6Vvl6B3QwqZmZ7JyjAIfVxljGnGOdlnhNq05rHuoJ0Knq46fp6UiaX3buxeYmddfpfGm1k1Y0A7r9ck6exQhR5w/FDF/noom0VWNhntwi+I64umug7ahJ5wvTmuYXp6TkeeFhaw8asqLagazuCmgjMiZrXpFnNJWrTFCvuR/kSc1wdZTwJLfVsK6AVlVHH5/oKnel3GjKkeeVj27tG2Q0kCW+b/L0gsCUgTaPTSJ3uzKZK0SOufP56tPGqUziThlokUk/7ObC81lk5JkmM4mbSFvax5SAtqpNXWQwepLTaMuYUSW6yvRVLdo/JaC1TJXNetSdzoHHSYOnzU6nyFPsG9zGJG7HQKdTO0Zn5kKnk8igvc4x5eXCkkQt3xLoGGgt3MskuJm7q7Sme9dTXH3niCz7nMjKPxX5+MMiy+8U+XDLtjWtU0Mk5VEu5V/6+/Z6DYnqhOxTnLS0fXQOtKo07nIZVSclAiqLavgyDR+u4ncifPgbn08CjaV/vkiTt/YWXSbyib8RufR+kfOukwOHzpKx5FMiqxRwAGldQvMU3ERuIOVd8CuCQWzfgXPlQO2X9LpfE+H6BSWE78AkIj/dSk53BLRR6dKLMjhxd3X3S8fMl8AAFlD5KgKTtaz5SJMbjze2Hv/Gmybc6mDiAeHj20TO/inZ/e9PygOf/2XZ9NuDcu9Na0x4939PWu42iad44GZxA1/5nnzxxqvlwS9sMI7rPPqXqlit/DMR6pErPhQdkcg5crJvrx0l5xKmpx0BrXn8I3LJRQvNT28Al0/+sLYjD6ymN3vYcXTE0Rf8qkjfYjn+7lF59I9/V17e84K4jfDjX/kDEeVCOTv8ALhL0YYPtyrIpNx232/J+KE3CHr3/JN/L8OP7RA5X8WWp5YGVgjv5PgXoLLpOgM6eLP0P158x/z0Jg8uq0iR3Sx4ZKU9i8zDu9+OTPdVTEHYvfNJOfHuO57sAgDz3L98XeTcqx2pM/+8nzPp9+1+vgFkE6GHZ/7hr43I0mA7e78Bu2AWpm2gzWMxKeFqf39hBy7vprCqFL0aGy6gIrOf3VlfhpBZcuVLKAnAcRqF2FCvcD+gj/yUOTotcezNA2mo0Su6wY2prNUypferGPHLm1Na40/JXEToq2zerHdqj0SyRIINkQDn8j4K4DJNH0SbXzvxRTBHIz03wJ239I/ZSZvrfvHm0qQm7r1DpfHtRCy//MrSZAMX7qxG8wAACO1JREFUXFQYl1/YmZmFEVmXqsE+b1OOpifVUeCISN0MSk5mG3jDiTXQAMd0D/TQUZFtwefa4HpuRpimZfgdC/Saz9wgRQ2+aOUVsnzlJ0SO7WlZVGGCt79tyJTxsas/bcL5wy33qEr59nN5soTvQjoGyk3kak9az1YKNCCLfdvUiwsKBGDe7w7lbr04GwJk1Du0DEuRjr8tbfId+keRmv37xZceG5ENt99nAAf0m4f+RO7/6j+LHPonkaly9PFXRcaeNpe668uPybU3/IYJc+Aadz74t7LmZy4XOfwUpIwbG6//+c4xGowEQ6UJV1TNy6r2rBRoNYGqnbluz6CDg4ObAUyRRSBj2YPzie/I1d4V+f5dCuT/yaJz+mXjHffJQ9/cY9z6X/8dWfTusyIHHumoyIbEr2t+5VjKv+MP/0q27xozjusYkF9RzYZ65DKGHL0qfVcHwDMTH0k05LIVAl3lhfVgYALI3C2XqcwvApm8XQ3T4boXf03ktQcs9yG3DyoPfO/27kGmIYAImPvutk8H5fOUcD2uUfK00MmTHRdORjOIy3L1gFn62wC0dnyDEtiZAaobkNvJS2VbujF9fF/7c+VwBeTgdhFuQMtMHSSgP+Dp+L6Wj8/1SrIzFgjFouNoksPVGaUgXcyeAdrIZUmUXcgi5muO7QBVxsnt5LVXmlvH8FMX9FuAG7Yga0aVAo4OZrNFt3aAKgIZmdxOXr3E7Nxb1Cr81MX6dQMNqeHoQHz0MwbxHJ1ysxfegOVsGQ0lpYQikNGru5LJadmz1eOjL6wvpH6AmXsVA7JxoTiRpDbogRbLzf2kogCEOuEyVwbylLSLsovMQrp7t5KqXXH54tJ/zmSYNKksqQMtSZXMuI2fPb+0AOJxvIkVdggscZ33ID/1VuYjuEePfQAUhY63iusRieVoZIgSV6gzeyvAABlrnUmsBzSTVk+AJpuxHa2g1xdDb8b8G5b7ymvHpWzhfWivJo/laPslRs7Nb/DyvaiJSA/IqNBI1NcXyWySyUw63LvlB+ZXrr0CHDGJOSGFQLXfaMyFh58+bGw67tz5B/73pAvi77dAB19iXHXZYiIKHXeVzx2HkbVaonbpN0PSKQ2jWtHHMPEA4LyWx8REN5XCnOA6QMqJJqOb1DevaWMmDm+C0s2evcmRB3qJpFue5VOyMaJwQXeu/nF1ZuclobJHyCSYwQOdEKYCDF9cFhHHxARTadQfUDoBnhsV9kVa5m3xdw9/Wy2Zvk8jnnRwvsYbrEIVUCRxQNdtGlSUxKGDk6kkdy+lH5VK5Vq9mP/WHY8Q6dL4U+phB8fwxU8g+FgV025UCC6HKUJQoBc5QKPN3KggfkdsP14r8a7xYW2/TlzaWNIxJ0oefvYTYkUeJzr8B/72veoZ1ZQAeGQOMopeoGo+N392jbuaeYSooMySDaZhXTPfFGG2B8sjkxPchGb9kGvzy8EPirVJgEx7NWh3BZtxh8512XPESy6PgJXolgIdWcOvEuhMuJAGhY6vAWQxvwAZJj4emZgQicwQU3TjQqSfTWBrtcwOl9P/MGrjBhhiwQERSBsQB0F0A8guTrlVwY/4ObJhOEdX/3WR6Hq9GQYrC3Sl4o3UXADWR6bR8WU4GZDTR0fSLbZvz/JTG0MhPxWdjWCbCpYc6LyoNz+MKGizglmSUcmKwWY+xy8KrHU1fo7M5/l10kTMVuFoxICCSLjEHZVIboxzILu0Kd0/QnMJbABGZqOh5B57y5ElbXZtdz5Pd6xMZ93Efkd3vgGak9gUGF2vYQBzjwG+ntdWu0dA4wt3zc9d17Q22oFNQyxldh2xJzuA6cgytYuE31CtjhW4DL2LEw80ZVBwPDpeVbdEXaQOX88b7xDp807TN4BNT+xkfj592Tk3ByDwy9JMhU6ZjGr5rwwLfRoAFtkp+vgrUw3BodLDLQN0L8o1YEfJPa4s5B2dqjsv8wHVgcBjDBD4gALn0UkBVLuyn7Rcl84d2UufQ5mMaum0c/WwAPMDiR5ycXiNngNN4fGuI1uFx48TdWNN3qQFOMAA1CIQAAXOo5MCqC/cv8/8mJIbAIChY9UUgOJIS2eOfSIne7VGZrdisVK5WpljMJ4mgM2V9DAtQGu5OhhK/PKxskUziBSAAgyTJzi4kV1AygS5AQAYOp6eTKLGE+3gZIfYjt2KxRcOe9W2MXnvKNMHtNRHm5nPnKV157EGZDrNlOS9lZcuMh9tZTkZg4zBa8/zcR0HEvlXzaPqp1O5tA9iVKfEmdynBWgzwZu2guEvg4X01HiAzGNdxoGVSmTScWCQ8f77CcFCd8PPLxNuBo7RHzeH2SGfOIpGY9Wo7GfkPHXGA9MCtMoN/0pY1gDON/wnBJCDlh6VoPMM6CY4duR98z8tc1I/+GWfT/7bmJmk4Ia4G5q5ZrAws5595kPTBHTkgV6VLi6hacjkBpD5e2dSycjJsaDzDGecKUPdUZHaZ6yvR90RQZStQbNnLJCJLJFZsFVmqg5jypkAElzvqFoABxmVxrken47OpcuaG6FGW40Y4AaJKOhiftdH2Q7snC1jHblOtZt2oI+fmDRtRBc+caJmwnrwIGu4cAc0dGELepjkA7PuhBvEjdKYDNjYmvOWOTvDrylP4T7tQAMYjUcNC9o5ZIAKCBrUQYMe0513Seg001PrRfKE4WZ7JqaMHGdj5EcvZ2FLmkx0hn+1D5+iwPQAXYmMaZA2ATDcTDh1mBwNV6bn1gu+YAPhmZ3jjZ1gIr5cSbc82JDRy4vURuJOlZsWoE3jJfGTCRmRITX/Mmim0cGvnKA3igyVx8FHskjjnLme4ez6NV0cfr4PgDbTblqANo2o9FXVZySmnt+HwkffUzWQ0ndosGTXTtBMNBRHG7AXTOpoNAqN8MhvHawU55lJ6rQBbRteU9kYqek12qIdFzaFRpERtnZBjamhjKy20cmLypWbbbj8iMXNpFtQU/Uy0uuqeVcHK+U5Zi5m2oCmCWnDR2i8AR5iE2fTjytXCly4Q7TzYzDDv26bZGuIsuWM6XUnGgzwDYlniPBjAAAA//+vMcAaAAAABklEQVQDACN4QlTwTuo8AAAAAElFTkSuQmCC" mediaID="Simple_Project_Adding_Numbers_In_A_List_Sprite_cst_alonzo"/></media></snapdata>