<snapdata remixID="9544270"><project name="unit 2 lab 1" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes>Press the flag to start, then choose the options you want to see.&#xD;Options:&#xD;1. Secret number guessing game&#xD;2. Alonzo clicking game&#xD;3. Costume switcher (literally just random images I had on my computer)&#xD;&#xD;The program is really slow and glitchy outside of the editor for some reason, so press edit and run it from there (it&apos;s especially noticeable in the alonzo game)</notes><thumbnail>data:image/png;base64,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</thumbnail><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" scheduled="false" id="1"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><watcher var="score" style="normal" x="10" y="10" color="243,118,29" hidden="true"/><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="9"><costumes><list id="10"><item><costume name="Alonzo" center-x="45" center-y="60" image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFoAAAB4CAYAAAByzOU/AAASn0lEQVR4Xu1df4wU1R3/7C4Hx/HDhTstDQVP5RBr1QUNXCoWmkaiNqlHk0alURclsdGgmFi01ZbD1BatiQdE0yYYVpIiaRs501YpNvFQaQ4S4fzRFAUtP0JClMMF4Thcd7f5vt03+96bNzNvZme4u73bfy63++bNe5/5zvf3+35j8PlJtyabATSjH9lMT7bH5+XDdnjMZOclcOPtyBXbUBe/wLomVziJUbEMYoWOTHf2oMlcw3WMJ9DpeckV+DrWLgGsRau4OtN9on24Aum1b1eg062TM0DsbnGSsWMTmD61HoeP9uPs2bw8fyH/Hr7CwkxPNut14+H2uyPQKsiNk+vQdtNFmD8vaWH0zq4sOrd9ht4TuQpuxE7yRQJ7hH8L1KQFmrGLWOI5Pu7yGePw4LJpaBibsBFi39k8Nr9yDDt3C0Q8ArYNJxvQ6VQyhfrEXj5y2tR6PLa8WQuyOBtR94ubj45QtgNPtAPd2tgFYAGNJ3787KoWBnLn65/hnd1ZxiYI/FkzxmHRwkY0Ta6zpt534AzWbThS4d0jlG1hIwGdbm1MA9jIf310eTMDdMOfjsqsQXhqxFaW/XSqBTgJyTXrD46ArVC2AnTyIJC4mMZcPzfJAHQDWZzr1psuRNvNF7GvRsC28w8LaJGaiWU8ufIyBtj6DYeFq4ovAYV25JBCXWIFZzE6oTkCtgy2AHSFmok651w9UWYBwI5Md+9C8fJ0a5L+z/C3gH4jVkLCc4SyNUCr1EyqnEaoNesMkXQqmcToRAZx3MqnVtnIqmc+UbUR7Vy1bMQwik63VqhZv9n89zPdWdJGHD+igUOs54U1s6yxNtVvGFqQZaAbiy4YLs1092a8qI1Rdj16OBvhGgu/Tgd2Znc25TVvrfxeBnpyOxBbpWxqB5Bv96JkiWfPm9yBWOwh+k5kH3zM9q5evLz1mCRcM90nSKWs+U9FGF6bJBdoCrlCD+rQE8TtKbIglaI5knZ1cXh4/TzdpKakJvpHRItSd/26DYex94MvxZ+M2JPpWgbjuFCAZv6RRKyL+6x1bEPcPDmiyHo8crS/8nV/fnYte/yqBloVguROJWNH5+lTwX5k9X7ZVK8rpoKwrMFIweqaqgK65OlDJ9c0iGWQsUKBAZOPzXqsYbUvMNDMKszFOsUQ171LpkqBAROw7WofXs3s7m0zuXYojQkEdLrVrg4GAZkDRS7YV7d9XsGtWFyb2XWCfCk18/EFdCkaniDjhfmr6UPsgrx8c66aUBUoGi9hTWkixkAzf0iu0CGyChJ8Dy6bruXJxH9JIIqBAbcnUeuaiCfQOqcRATb7qgmMkkXtgvjtng9OSToyUTxRO/mqvUAnsG2aSL5YEw4o93QDRavgrGLJ4imS0Dt+IscCBB8dOONItAS4ep1ucK1qIi7pBnJYi0BRw1b0nQ0Yjh6pavlYs5p4YyI0bZoIii8NdZ+IQ7pBxTnEcdNZe3s++JJRspRIUyyuxblCO/dd63i7kx9EpHBKYXhjR6/w1dD2idij4IIHjnbpJPDsVMcw0WoKqonu5Qvh6NaST8Q1Cu6U02HTeymtoK7Y5uZSVcEmYUoaiy9NZAinL4gxw2bkYj2cp6ogk8Db8/4pbN/RGzgFTE1nWL5suqf+Tff99TOfhOoTKfln4h1AjIKbGZPARlVGAoAK0ALL4BrC8RNfgTZKiTFSfp0o8OIgSjZO2U3Pbezk8UVTFhK2JpKem+xBPHGNBV4x/3BmV7ajWjDdrhfTDawMJc8bMlYR6wiSpsusS+HN4fkjXvcMKxSWZgGOxFbpfiWWFKm+rkRYlAWouyeVLYYMziHjlJpLQHpRuMpCfr9qpqcxQ0sJIxSWVoS9sMVITX41U2khEF+IQiyFOJIoFnsQQxYodKEfPW55z6qwQwGvIp5f4QS6GPYypWoCxeYT8emASgu5hSSHrOBDIVqvoacJ7vVK0+82kPlFjMXEV+iETVCqpqmrUfvSrZWIP+nzT6+viJdMd28oeOgwC2VindtUuZlevxbySbzCX+J8WgdULr848262040wyt7H//ExG9deiUdWfywIeu/8FRPCixDoSqovmdhNjXVyplPpzjaw1QwpMenGa0MENql9ljZkoGOXUtgSb9LcPHVNZkXRWZ+hU/SNCxqx5MdTjDJKmT6biB3kuruJH0R8AA6JlI7agxip5waTJGAj5NMhAV1xQJGAoeAsfUwySkUtQEyQ9KJo/jvdQ8rtc4k7iiyOsyqyESp8On8o050tZWiG/AkHaGZpJb7ga1u98jIrGGD37uUPoR+pitOJRW0svmmq6ok4mHr7RI1DfHuWPvSfynT9+UlRnCoLBWimeQgWH2cffPUy1QBQqE601PwIRRFsm7dPUftUNiV6EInXV3JMohGI4QEtHMtQs0kJEIeM0jQlzYhCkbyFz66aGejFdVL7mBAsoIOb3er6pOsiMsdDA5pR9bWTsm6CTXtya1SxHTGWG2KxD5H1+EFcq/bR2yP6NTQJmJI30qcBZLq+cIEW0hCcBJuDH1tab1D2QZNowRZmV9ka/UQBDOEIie1kgymYbuMCAc0sQfIvKqdjVYPASbBpIzPCKoNStKiJSCfDynpz280XslNm6oc8lD9f/bH1dRQWoi+gy4c9yZ1YzuvIHwLiGfQXOoTQleUFvGPxFHYWUfchyiMdlp9dJL45a0aDdX6xWiri/nOK0s9qGefptJIsRAMr0+/6/AEtaBbSjcpuUwIc9QlK52JnFYPoxX43ENZ4yUKMgE/7A1rwfGk3SIAn4l3csT+UgJb5dPiGiz+ghcP49KovWjDZevV1wFcj1MKiVNN5iJU98Ng+YXj+Ei+/uuncNM4f0KXcO0sN49YV8drObZ9LaQemYSo/i416rGS4hKxP+wKa6cpCsRTVuCDVjeKMJIDoQKhXCljUwPmdP0oHUwCg5ZjfUGIPXsDbHFQh+j18A12mauu43FBkEW6AR6XmBQNaObzpJ+bnRVUD/bvsnAov5y8Q0CWqlpMgg7g3BxpU3f0lT2OucDLz7heVIlJVLDgw0AxsIRFlKOnMXnjd/9g+ITPKOxbpNZ9v9U6dUIzB0W8mWaImixroMVFYiVVRdJmFWL4Nk8TFgQbR5P6KNw8I4bBpCEBXIsu0iVrh1UoaghR+M3lY6piqgVZ5tc7fG2RhA32NPehbXSZTOEALGkg1oaiBBle9vy3Xrwr3aThAK1HwWmEfBLwUT6wi6zQUoFWhWCvaB+3LdiQvYJJNeEB7VJ8ZbGzBz3rscU7/KQnhAS0EBUyOTPjZ6GAYSzFI4Ryl7wBuKECrNTtqiUfzh2zTQhxOoDkRRThAC2kGuuSZwUCRYaxBzjz1F+6qGmi1DHIt+afVh6OmJQDmvLoqoEsH8tHFM4FqSYd2egMkqvahgVQHtHLwptrElzBe76jnsPNqsyBuYKBVz10tswz14QUJ4gYHWvBFi8nnUVPUYJhfDuLm3zMp/RkIaDW6MhxYhviAbULRIIgbEGh75fTBQGnncw0S+zBwNvkGWj3iW4vGickDU4K4nl2V/AMtJDqaRr8p4KlLlzXZEBuTGA9MugGYNB8YNR44cwDIvg2cCrGnzsQUkLwBGDcDOHesNPfx1x2XqPg/PE1y/0ALJ091vJlA3bf/DPYd6LO1eSKhSTU6fGUwNcwAWn4LjPkG2/Th/R+iYfxENH1zOnB8G/Dp74yfl3YgPcRLf1F6iAD27dnJ/jZMuKB04Inm7ztgu1SMlp8DTo/pz09zO2TkC2hRpRONE4qxUS0P+mvrn6Us0VdckUBI/RlIjMOet17D9i1/wEd7/81mvHz2d7Ho9p9hzsw+4PD64GC3PMVApge4buWd6D12xJrr+ltux7KVvwI+vAfIn7bdQzrNBXbarM2pkK1PoCsVHK+7ZiImJetYNqkXuOLhdl+q4NSlwNQ0+k6fxCOLZ+Ps6VPSZhunTMOzW/cC791Wet39fuht+c6L7CqaXwSZT3XrvSvRtqgBOPYXD6ABuJze9Qe0UyK6sARe5454Ms+0FwWHL4omEBpm4J1/vIwXf7NcC+O9T6zH/CsOufJTR/zLD5LYxdMPWL0gpOFjx0/EC6+8AvyXFXqXPjJFl39yiMIYA03Oo2Ks+GZszChb5g4HlzJI1dKZ6hlDX8eQ5+5gq1/36J3Y+5ZeMN14231Y8pMW4KjVEMmcrstAuz1Immzj9n95Ak0YCG+2TTgaAe1UvYDYwKIFjZhz9QRtvWi1HpIvtkE7vGItMCHF+PP6R+/SArh6UxemJ/5eFUUTf151l9RixroXY0+bNtqAVhPXiYDkpmxyhpMr0CWHfoJKM1hFX5kgmjEOTiec+ArVY2h+a0uzecoU58RDp7VciSc37QiFR6+5/0eWoBWf6PKnN2FO86c2Hi2+qZyA5AOlsr/aEWjVBUo3pwmpcoGXTqw76+eLZfCdCloHCcTtW/7I+DV9Ft1+H+b/8A40nH6jOq2DVLumm5jA3fzc49j52hY2P1HykoefwpzrZpaoWdE6RD2a5x3aArnCqQFnoBXBZ2qc6ECuyrOn6NES/zj21+pApskUPVqan/Tn/Y9rNRpRwIv7k2sCVqhaC7Ra4KkakE2v9ZRgTTcDZL2NmVKy2r54W2tIeM7jNEC0DMnyJJBdLEPR1yEGo+0Vg0u82ga06mc2BUpHyabXBgZngC5UvXfPr5klKQNKVRtWwFYCWo1mm2oJwwlkerYie9BhJGWjlpPZZaCV2v0mfubQefIAUamf24qZpk5CXkpm78/PtoBWC4eYCLDQtAs/uxzgsaK24XZQSq0BUgFayc3gTX2d9jUcQWb6vFC+jfw9D9wzTQuRrH0UVwtAV6ImblUJ+KxqRUWTawaYGKu+vVrOueXSBvzyoUu086r+aga0mgSjSlF1JrV+0WDTLkgr8OXzNngEmpQwdpUTgSk+nh0loAW24QWamlmZSMSw5omW0DdmsHfXV1bXjyDonGoxw3O5c8fH1I1povl4I2T1wcpJ7MWXykDLlRjnz9MfrXN6qr5cn0F3a3idWv6NCEfnVTScjg2Tq4gBX/cVvjeqDn8Ti5rzWn98XjWmWAJayNFwSiK3FwtEH+rQwCceTDzaqV0JUXnD2Djmz5vkWYndSRbx0p9qkJoeKPmBqOCAppPHUk7RVs9ZHX92qsiI0Yl2sbq5n85vfigq6FhaN2/CI1Z0Nzm/TuyCOknLvWXkI8uqq4LCe02TR8vXiAaLSNFqErm2z0o5j0HVvU17GQYFrprriMqpxEXf2QKTJ26tAGnPpFVJjS0desGIZTW06ytjxYVhBojdTQPJpKTWTLQQoobNW4+pMUGpaq7qG3HqdFENSOfzWl2RF3g03GHKRK64Qm7uQ4W9kOadPLTqncvGHOpAywfwhyLYLm2ojErSl/1EvP32QbVMkGCw2Fs2WYBTwBHFtFshbPUVGipgE8BkiOzcnVXoS6bIat8qxalEx43jaeSK1Lr6AhY+r4t1AgXqD+7ZAkQHtu+EmWp3ZHg9GRTEGu0AA1DaUBlO6TrMKDjr50Yq2EFihVxwkQQP08IjcPe8/yVrBajtKwP4bjpvik3oQDO9XCjbRv+bnA8ncEkQqSCQJkMxShLO079Vz/56dWimexKox3tLmgalp7m1AESEAPMHEQnQJbArHeTcLEdeOlPqOWtAJlxnFYeSWuaVNSXJHWKLpXKfIWZL6hcfHdCCtenkHNfrq6WFkhXnQYUGj0MdwmqpdiFX6PTqcBFg8vPLo/ndxH4nuhxqBx2dXS66H4kF7NpzEl07rcr2/jDIF/6JRHwLkO8yEej+JjcfHQlFO2Wd8mV51ZBW6zNpOixbO7zlB0246tvj2f9ceKpO9yA9vcwhNBsZEdAVnVwFzbkqeuI5vmTxGvshSgBfF45gVNwKbaixTekePs4CmkEWbFREQFfSe8XYo83NWk5zRT2SvBENbUPMvXZoUpkSO8ipKqTqdM909+oT64JhFuiq8wa0tgFkvriQS3yRp9NOqL0SfeTaRvRNqfuPrr0q9x6qCYhRVDj3i3bkQHMdWirDoEnYVoEmdkCAiU3DSpurnFTVgU0OMUodPh+9VfyAHTnQxG+p/LzQrIDWp+ubJTWupEACsRrJRNbwW13nOWJXlMQSdW+VgQeaNW5P7OULkZO09fU+dU50jZls1KXZDoB5FQI/4PkZGwlF0wJsfV3py1K35ZROn1U7Xtg24VE4ilH2aGTUnis0T83yaAY0o2rWyOZiATRX3657tMK7BV65O/IKywnv0rjSDzWGMTYyii6DnUQ9Uqy9an+h08un4HTCgHprmRxs54AITnibAz4M0ILMESnQQRbEHhArWFik3rdJxPJdUbeSDrpOP9f9H+Uk/4RbKT3pAAAAAElFTkSuQmCC" id="11"/></item><item><costume name="flipped-Alonzo" center-x="44.5" center-y="60.5" 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" id="15"/></item><item><costume name="sub_5" center-x="100" center-y="100" 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" 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" id="17"/></item><item><costume name="blender 1_28_2020 8_52_46 pm " center-x="157.5" center-y="142" 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" id="18"/></item></list></costumes><sounds><list struct="atomic" id="19"></list></sounds><blocks></blocks><variables></variables><scripts><script x="98" y="54"><block s="receiveGo"></block><block s="doForever"><script><block s="gotoXY"><l>0</l><l>0</l></block><block s="setEffect"><l><option>ghost</option></l><l>0</l></block><block s="doSwitchToCostume"><l><option>Turtle</option></l></block><block s="doHideVar"><l></l></block><block s="doAsk"><l>Which project do you want?</l></block><block s="doIfElse"><block s="reportEquals"><block s="getLastAnswer"></block><l>1</l></block><script><custom-block s="number guessing game"></custom-block></script><script><block s="doIfElse"><block s="reportEquals"><block s="getLastAnswer"></block><l>2</l></block><script><custom-block s="alonzo"><variables><variable name="was up"><bool>true</bool></variable><variable name="costume"><l>1</l></variable></variables></custom-block></script><script><block s="doIfElse"><block s="reportEquals"><block s="getLastAnswer"></block><l>3</l></block><script><custom-block s="costumes"><variables><variable name="costumes"><ref id="10"></ref></variable></variables></custom-block></script><script><block s="doSayFor"><l>Invalid input!</l><l>1</l></block></script></block></script></block></script></block></script></block></script></scripts></sprite><watcher scope="Stage" s="getTimer" style="normal" x="10" y="31.000001999999995" color="4,148,220" hidden="true"/><watcher scope="Stage" s="getLastAnswer" style="normal" x="10" y="52.00000399999999" color="4,148,220" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="number guessing game" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doAsk"><l>What should be the max for the secret number?</l></block><block s="doDeclareVariables"><list><l>secret number</l><l>guesses</l><l>error</l></list></block><block s="doSetVar"><l>secret number</l><block s="reportRandom"><l>1</l><block s="getLastAnswer"></block></block></block><block s="doAsk"><l>Guess the number</l></block><block s="doSetVar"><l>guesses</l><l>1</l></block><block s="doSetVar"><l>error</l><l>0</l></block><block s="doUntil"><block s="reportEquals"><block s="getLastAnswer"></block><block var="secret number"/></block><script><block s="doDeclareVariables"><list><l>question</l><l>direction</l><l>bigger</l></list></block><block s="doSetVar"><l>bigger</l><block s="reportGreaterThan"><block s="getLastAnswer"></block><block var="secret number"/></block></block><block s="doSetVar"><l>direction</l><block s="reportIfElse"><block var="bigger"/><l>1</l><l>-1</l></block></block><block s="doSetVar"><l>error</l><block s="reportIfElse"><block s="reportEquals"><block s="reportGreaterThan"><block var="error"/><l>0</l></block><block s="reportGreaterThan"><block var="direction"/><l>0</l></block></block><block s="reportSum"><block var="error"/><block var="direction"/></block><block var="direction"/></block></block><block s="doSetVar"><l>question</l><l>Your guess is </l></block><block s="doIf"><block s="reportGreaterThan"><block s="reportMonadic"><l><option>abs</option></l><block var="error"/></block><l>1</l></block><script><block s="doSetVar"><l>question</l><block s="reportJoinWords"><list><block var="question"/><l>still </l></list></block></block></script></block><block s="doSetVar"><l>question</l><block s="reportJoinWords"><list><block var="question"/><l>too </l><block s="reportIfElse"><block var="bigger"/><l>big</l><l>small</l></block></list></block></block><block s="doSetVar"><l>question</l><block s="reportJoinWords"><list><block var="question"/><l>. Guess again</l></list></block></block><block s="doAsk"><block var="question"/></block><block s="doChangeVar"><l>guesses</l><l>1</l></block></script></block><block s="doSayFor"><block s="reportJoinWords"><list><l>Congrats, you guessed it with </l><block var="guesses"/><l> guesses! The secret number was </l><block var="secret number"/></list></block><l>3</l></block></script></block-definition><block-definition s="catch %&apos;tag&apos; %&apos;action&apos;" type="command" category="control"><header></header><code></code><translations>de:fange _ _&#xD;ca:agafa _ _&#xD;es:atrapar _ _&#xD;fr:attrape _ _&#xD;pt:captura _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doCallCC"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doRun"><block var="action"/><list></list></block></script><list><l>cont</l></list></block></block></script></block-definition><block-definition s="throw %&apos;cont&apos;" type="command" category="control"><header></header><code></code><translations>de:wirf _&#xD;ca:llança _&#xD;es:lanzar _&#xD;fr:lance _&#xD;pt:lança _&#xD;</translations><inputs><input type="%s">catchtag</input></inputs><script><block s="doRun"><block var="cont"/><list></list></block></script></block-definition><block-definition s="catch %&apos;tag&apos; %&apos;value&apos;" type="reporter" category="control"><header></header><code></code><translations>de:fange _ _&#xD;ca:agafa _ _&#xD;es:atrapar _ _&#xD;fr:attrape _ _&#xD;pt:captura _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%anyUE"></input></inputs><script><block s="doCallCC"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doReport"><block s="evaluate"><block var="value"/><list></list></block></block></script><list><l>cont</l></list></block></block></script></block-definition><block-definition s="throw %&apos;tag&apos; %&apos;value&apos;" type="command" category="control"><header></header><code></code><translations>de:wirf _ _&#xD;ca:llança _ _&#xD;es:lanzar _ _&#xD;fr:lance _ _&#xD;pt:lança _ _&#xD;</translations><inputs><input type="%s">catchtag</input><input type="%s"></input></inputs><script><block s="doRun"><block var="tag"/><list><block var="value"/></list></block></script></block-definition><block-definition s="if %&apos;test&apos; do %&apos;action&apos; and pause all $pause-1-255-220-0" type="command" category="control"><comment x="0" y="0" w="263.3333333333333" collapsed="false">This is a breakpoint block, to be used in debugging.&#xD;The Boolean input specifies the condition under which&#xD;the program should pause.  (Use True for an unconditional breakpoint.)  The intent is that the script should have&#xD;SHOW VARIABLE blocks for the process&apos;s local variables.&#xD;After the pause, this block automatically hides all temporary variables.</comment><header></header><code></code><translations>de:falls _ dann _ und pause $pause-1-255-220-0&#xD;ca:si _ fes _ i atura-ho tot $pause-1-255-220-0&#xD;es:si _ haz _ y páralo todo $pause-1-255-220-0&#xD;fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0&#xD;pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0&#xD;</translations><inputs><input type="%boolUE"></input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>breakpoint</l></list></block><block s="doIf"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doSetVar"><l>breakpoint</l><block var="test"/></block><block s="doShowVar"><l>breakpoint</l></block><block s="doRun"><block var="action"/><list></list></block><block s="doPauseAll"></block><block s="doHideVar"><l></l></block></script></block></script></block-definition><block-definition s="ignore %&apos;x&apos;" type="command" category="control"><comment x="0" y="0" w="206.66666666666666" collapsed="false">This block does nothing.&#xD;Use it when you are calling a reporter&#xD;for its side effect and don&apos;t care about&#xD;its return value.</comment><header></header><code></code><translations>de:ignoriere _&#xD;ca:ignora _&#xD;es:ignorar _&#xD;fr:ignore _&#xD;pt:ignora _&#xD;</translations><inputs><input type="%s"></input></inputs></block-definition><block-definition s="cascade %&apos;num&apos; times %&apos;function&apos; %&apos;init&apos; %&apos;#&apos;" type="reporter" category="control"><comment x="0" y="0" w="138" collapsed="false">Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right.  The # variable can be used inside f to represent how many times f has been called.</comment><header></header><code></code><translations>pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _&#xD;</translations><inputs><input type="%n"></input><input type="%repRing"></input><input type="%s"></input><input type="%upvar"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doSetVar"><l>result</l><block var="init"/></block><block s="doSetVar"><l>#</l><l>0</l></block><block s="doRepeat"><block var="num"/><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doSetVar"><l>result</l><block s="evaluate"><block var="function"/><list><block var="result"/></list></block></block></script></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="cascade until %&apos;pred&apos; %&apos;function&apos; %&apos;init&apos; %&apos;#&apos;" type="reporter" category="control"><comment x="0" y="0" w="210.47493489583334" collapsed="false">Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right.  The # variable can be used inside f or condition to indicate how many times f has been called.</comment><header></header><code></code><translations>pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _&#xD;</translations><inputs><input type="%predRing"></input><input type="%repRing"></input><input type="%s"></input><input type="%upvar"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doSetVar"><l>result</l><block var="init"/></block><block s="doSetVar"><l>#</l><l>0</l></block><block s="doUntil"><block s="evaluate"><block var="pred"/><list><block var="result"/></list></block><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doSetVar"><l>result</l><block s="evaluate"><block var="function"/><list><block var="result"/></list></block></block></script></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="compose %&apos;f&apos; %&apos;g&apos;" type="reporter" category="control"><comment x="0" y="0" w="151.33333333333334" collapsed="false">Returns the function x↦f(g(x)) where f and g are the two inputs.</comment><header></header><code></code><translations>pt:a composição de _ com _&#xD;</translations><inputs><input type="%repRing"></input><input type="%repRing"></input></inputs><script><block s="doReport"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="f"/><list><block s="evaluate"><block var="g"/><list><l></l></list></block></list></block></autolambda><list></list></block></block></script></block-definition><block-definition s="repeat %&apos;action&apos; until %&apos;pred&apos;" type="command" category="control"><comment x="0" y="0" w="202.66666666666666" collapsed="false">Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time.  So the script is run at least once.</comment><header></header><code></code><translations>pt:repete _ até que _ $loop-0.7&#xD;</translations><inputs><input type="%cs"></input><input type="%boolUE"></input></inputs><script><block s="doRun"><block var="action"/><list></list></block><block s="doUntil"><block s="evaluate"><block var="pred"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat %&apos;action&apos; while %&apos;pred&apos;" type="command" category="control"><comment x="0" y="0" w="287.3333333333333" collapsed="false">Run the script repeatedly, as long as the given condition is true.  Runs the script at least once before testing the condition.</comment><header></header><code></code><translations>pt:repete _ enquanto _ $loop-0.7&#xD;</translations><inputs><input type="%cs"></input><input type="%boolUE"></input></inputs><script><block s="doRun"><block var="action"/><list></list></block><block s="doUntil"><block s="reportNot"><block s="evaluate"><block var="pred"/><list></list></block></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat while %&apos;pred&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="264" collapsed="false">Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run.  Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.</comment><header></header><code></code><translations>pt:enquanto _ , repete _ $loop-0.7&#xD;</translations><inputs><input type="%boolUE"></input><input type="%cs"></input></inputs><script><block s="doUntil"><block s="reportNot"><block s="evaluate"><block var="pred"/><list></list></block></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat %&apos;num&apos; %&apos;#&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="171" collapsed="false">Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script.  Try&#xD;REPEAT (200)&#xD;                MOVE (#) STEPS&#xD;   RIGHT 92&#xD;with the pen down.</comment><header></header><code></code><translations>pt:repete _ vezes _ _ $loop-0.7&#xD;</translations><inputs><input type="%n"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>#</l><l>0</l></block><block s="doRepeat"><block var="num"/><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="for %&apos;i&apos; = %&apos;start&apos; step %&apos;step&apos; to %&apos;end&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="247.33333333333334" collapsed="false">The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger.  This version allows you to provide an explicit step value.  If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.</comment><header></header><code></code><translations>pt:para _ de _ com passo _ a _ _ $loop-0.7&#xD;</translations><inputs><input type="%upvar"></input><input type="%n">1</input><input type="%n">1</input><input type="%n">10</input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>test</l></list></block><block s="doSetVar"><l>i</l><block var="start"/></block><block s="doIfElse"><block s="reportLessThan"><block var="step"/><l>0</l></block><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportLessThan"><block var="i"/><block var="end"/></block></autolambda><list></list></block></block></script><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportGreaterThan"><block var="i"/><block var="end"/></block></autolambda><list></list></block></block></script></block><block s="doUntil"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block><block s="doChangeVar"><l>i</l><block var="step"/></block></script></block></script></block-definition><block-definition s="let %&apos;a&apos; be %&apos;val&apos; in %&apos;loop&apos; %&apos;body&apos;" type="command" category="control"><comment x="0" y="0" w="238.66666666666666" collapsed="false">Provides LOOP as a function of one input that runs&#xD;the body of the LET with A set to the function input,&#xD;so the body can run itself recursively.&#xD;See COPY block in Variables for an example of use.</comment><header></header><code></code><translations>pt:tendo _ o valor inicial _ , executa _ definido como _&#xD;</translations><inputs><input type="%upvar"></input><input type="%s"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>a</l><block var="val"/></block><block s="doSetVar"><l>loop</l><block s="reifyScript"><script><block s="doSetVar"><l>a</l><block var="new value"/></block><block s="doRun"><block var="body"/><list><block var="a"/></list></block></script><list><l>new value</l></list></block></block><block s="doRun"><block var="loop"/><list><block var="a"/></list></block></script></block-definition><block-definition s="pipe %&apos;value&apos; $arrowRight %&apos;pipe&apos;" type="reporter" category="control"><comment x="0" y="0" w="339.3333333333333" collapsed="false">The inputs are a starting value and one or more monadic functions.&#xD;The first function is called with the starting value as its input.&#xD;The second function is called with the value reported by the first function as its input, and so on.  PIPE reports the value reported by the last function.  PIPE provides an alternative notation for function composition instead of the usual nesting.&#xD;&#xD;nested acronym:                                                                 &#xD;report (combine (keep items (capital-letter? ( )) from&#xD;                  (map (letter (1) of ( )) over&#xD;                                                 (sentence→list (phrase)))) using (join ( ) ( )))&#xD;&#xD;piped acronym:                                             &#xD;report (pipe (phrase) → (sentence→list ( ))&#xD;                                     (map (letter (1) of ( )) over ( ))&#xD;                                                    (keep items (capital-letter? ( )) from ( ))&#xD;                                      (combine ( ) using (join ( ) ( )))&#xD;&#xD;Some people find PIPE easier to read because the functions are called in the same order in which you read them, whereas in nested composition the innermost function is called first. </comment><header></header><code></code><translations>pt:a aplicação a _ de _&#xD;</translations><inputs><input type="%s"></input><input type="%mult%repRing"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="pipe"/></block><script><block s="doReport"><block var="value"/></block></script></block><block s="doReport"><custom-block s="pipe %s $arrowRight %mult%repRing"><block s="evaluate"><block s="reportListItem"><l>1</l><block var="pipe"/></block><list><block var="value"/></list></block><block s="reportCDR"><block var="pipe"/></block></custom-block></block></script></block-definition><block-definition s="alonzo" type="command" category="other"><variables><list struct="atomic" id="544">was up,costume</list></variables><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>was up</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doSetVar"><l>score</l><l>0</l></block><block s="doSetVar"><l>costume</l><l>1</l></block><block s="doResetTimer"></block><block s="doSwitchToCostume"><l>Alonzo</l></block><block s="bubble"><l>Click me if you can!</l></block><block s="doForever"><script><block s="doWarp"><script><block s="doIfElse"><block s="reportAnd"><block var="was up"/><block s="reportAnd"><block s="reportMouseDown"></block><block s="reportTouchingObject"><l><option>mouse-pointer</option></l></block></block></block><script><block s="changeEffect"><l><option>ghost</option></l><l>10</l></block><block s="doSetVar"><l>costume</l><block s="reportSum"><block s="reportModulus"><block var="costume"/><l>2</l></block><l>1</l></block></block><block s="doSwitchToCostume"><block s="reportListItem"><block var="costume"/><block s="reportNewList"><list><l>Alonzo</l><l>flipped-Alonzo</l></list></block></block></block><block s="doChangeVar"><l>score</l><l>1</l></block><block s="doIf"><block s="reportEquals"><block var="score"/><l>10</l></block><script><block s="setEffect"><l><option>ghost</option></l><l>0</l></block><block s="doSayFor"><l>Darn you got me!</l><l>2</l></block><block s="doStopThis"><l><option>this block</option></l></block></script></block><block s="doGotoObject"><l><option>random position</option></l></block><block s="bubble"><l>Ah!</l></block><block s="doSetVar"><l>was up</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doResetTimer"></block></script><script><block s="doIf"><block s="reportNot"><block s="reportOr"><block s="reportMouseDown"></block><block var="was up"/></block></block><script><block s="doSetVar"><l>was up</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block></script></block><block s="doIf"><block s="reportOr"><block s="reportEquals"><block s="getTimer"></block><l>1</l></block><block s="reportGreaterThan"><block s="getTimer"></block><l>1</l></block></block><script><block s="changeEffect"><l><option>ghost</option></l><l>-10</l></block><block s="doSetVar"><l>costume</l><block s="reportSum"><block s="reportModulus"><block var="costume"/><l>2</l></block><l>1</l></block></block><block s="doSwitchToCostume"><block s="reportListItem"><block var="costume"/><block s="reportNewList"><list><l>Alonzo</l><l>flipped-Alonzo</l></list></block></block></block><block s="doChangeVar"><l>score</l><l>-1</l></block><block s="doSetVar"><l>score</l><custom-block s="max %s $⌈-1-255-255-0 %s"><block var="score"/><l>0</l></custom-block></block><block s="doGotoObject"><l><option>random position</option></l></block><block s="bubble"><l>Hehe</l></block><block s="doResetTimer"></block></script></block></script></block></script></block></script></block-definition><block-definition s="sum %&apos;nums&apos;" type="reporter" category="operators"><comment x="0" y="0" w="202" collapsed="false">Takes any number of numbers as inputs (use the left and right arrowheads to adjust the number of input slots) and reports the result of adding them all, so&#xD;(SUM (4) (100) (8))&#xD;reports 112.</comment><header></header><code></code><translations>pt:a soma de _&#xD;</translations><inputs><input type="%mult%n"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="nums"/></block><script><block s="doReport"><l>0</l></block></script></block><block s="doReport"><block s="reportSum"><block s="reportListItem"><l>1</l><block var="nums"/></block><custom-block s="sum %mult%n"><block s="reportCDR"><block var="nums"/></block></custom-block></block></block></script></block-definition><block-definition s="product %&apos;nums&apos;" type="reporter" category="operators"><comment x="0" y="0" w="205" collapsed="false">Takes any number of numbers as inputs (use the left and right arrowheads to adjust the number of input slots) and reports the result of multiplying them all, so&#xD;(PRODUCT (4) (100) (8))&#xD;reports 3200.</comment><header></header><code></code><translations>pt:o produto de _&#xD;</translations><inputs><input type="%mult%n"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="nums"/></block><script><block s="doReport"><l>1</l></block></script></block><block s="doReport"><block s="reportProduct"><block s="reportListItem"><l>1</l><block var="nums"/></block><custom-block s="product %mult%n"><block s="reportCDR"><block var="nums"/></block></custom-block></block></block></script></block-definition><block-definition s="all of %&apos;preds&apos;" type="predicate" category="operators"><comment w="248" collapsed="false">Takes any number of Boolean (true/false) inputs (use the left and right arrowheads to adjust the number of input slots) and reports TRUE only if all of the inputs are TRUE, otherwise FALSE.  Like AND but for multiple inputs.</comment><header></header><code></code><translations>pt:todas as afirmações _ são verdadeiras&#xD;</translations><inputs><input type="%mult%boolUE"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="preds"/></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block><block s="doReport"><block s="reportAnd"><block s="evaluate"><block s="reportListItem"><l>1</l><block var="preds"/></block><list></list></block><custom-block s="all of %mult%boolUE"><block s="reportCDR"><block var="preds"/></block></custom-block></block></block></script></block-definition><block-definition s="any of %&apos;preds&apos;" type="predicate" category="operators"><comment x="0" y="0" w="240" collapsed="false">Takes any number of Boolean (true/false) inputs (use the left and right arrowheads to adjust the number of input slots) and reports TRUE if at least one input is TRUE, otherwise FALSE.</comment><header></header><code></code><translations>pt:alguma das afirmações _ é verdadeira&#xD;</translations><inputs><input type="%mult%boolUE"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="preds"/></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doReport"><block s="reportOr"><block s="evaluate"><block s="reportListItem"><l>1</l><block var="preds"/></block><list></list></block><custom-block s="any of %mult%boolUE"><block s="reportCDR"><block var="preds"/></block></custom-block></block></block></script></block-definition><block-definition s="USE BIGNUMS %&apos;bool&apos;" type="command" category="operators"><comment x="0" y="0" w="303.3333333333333" collapsed="false">call with True to turn on the entire Scheme numeric tower, including infinite-precision integers, exact rationals, and complex numbers; call with False to restore native JavaScript arithmetic.</comment><header></header><code></code><translations>pt:altera utilização de aritmética do Scheme para _&#xD;</translations><inputs><input type="%b"></input></inputs><script><block s="doDeclareVariables"><list><l>isDone</l></list></block><block s="doSetVar"><l>isDone</l><block s="evaluate"><block s="reportJSFunction"><list><l>useBigNums</l></list><l>var done = false;&#xD;&#xD;function initialize (callback) {&#xD;    var bigScript = document.createElement(&apos;script&apos;);&#xD;    bigScript.src = &apos;//snap.berkeley.edu/snap/libraries/biginteger.js&apos;;&#xD;    bigScript.onload = loadScheme;&#xD;    document.head.appendChild(bigScript);&#xD;&#xD;    function loadScheme () {&#xD;        var schemeScript = document.createElement(&apos;script&apos;);&#xD;        schemeScript.src = &apos;//snap.berkeley.edu/snap/libraries/schemeNumber.js&apos;;&#xD;        schemeScript.onload = finish;&#xD;        document.head.appendChild(schemeScript);&#xD;    }&#xD;&#xD;    function finish () {&#xD;        makeGlobalObject();&#xD;        callback();&#xD;    }&#xD;}&#xD;&#xD;function makeGlobalObject () {&#xD;    window.bigNumbers = {&#xD;        originalEvaluate: InputSlotMorph.prototype.evaluate,&#xD;        originalChangeVar: VariableFrame.prototype.changeVar,&#xD;        originalPrims: {&#xD;            reportBasicSum: Process.prototype.reportBasicSum,&#xD;            reportBasicDifference: Process.prototype.reportBasicDifference,&#xD;            reportBasicProduct: Process.prototype.reportBasicProduct,&#xD;            reportBasicQuotient: Process.prototype.reportBasicQuotient,&#xD;            reportBasicPower: Process.prototype.reportBasicPower,&#xD;            reportBasicModulus: Process.prototype.reportBasicModulus,&#xD;            reportBasicRandom: Process.prototype.reportBasicRandom,&#xD;            reportBasicLessThan: Process.prototype.reportBasicLessThan,&#xD;            reportBasicGreaterThan: Process.prototype.reportBasicGreaterThan,&#xD;            reportEquals: Process.prototype.reportEquals,&#xD;            reportIsIdentical: Process.prototype.reportIsIdentical,&#xD;            reportMonadic: Process.prototype.reportMonadic&#xD;        }&#xD;    };&#xD;}&#xD;&#xD;function loadBlocks () {&#xD;    var fn = SchemeNumber.fn;&#xD;    var originalPrims = window.bigNumbers.originalPrims;&#xD;    if (useBigNums) {&#xD;        InputSlotMorph.prototype.evaluate = function () {&#xD;            var contents = this.contents();&#xD;            if (this.constant) {&#xD;                return this.constant;&#xD;            }&#xD;            if (this.isNumeric) {&#xD;                return parseNumber(contents.text || &apos;0&apos;);&#xD;            }&#xD;            return contents.text;&#xD;        };&#xD;        VariableFrame.prototype.changeVar = function (name, delta, sender) {&#xD;            var frame = this.find(name),&#xD;                value,&#xD;                newValue;&#xD;            if (frame) {&#xD;                value = parseNumber(frame.vars[name].value);&#xD;                newValue = Number.isNaN(value) ? delta : fn[&apos;+&apos;](value, parseNumber(delta));&#xD;                if (sender instanceof SpriteMorph &amp;&amp;&#xD;                        (frame.owner instanceof SpriteMorph) &amp;&amp;&#xD;                        (sender !== frame.owner)) {&#xD;                    sender.shadowVar(name, newValue);&#xD;                } else {&#xD;                    frame.vars[name].value = newValue;&#xD;                }&#xD;&#xD;            }&#xD;        };&#xD;        Object.assign(Process.prototype, {&#xD;            reportBasicSum: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;+&apos;](a, b);&#xD;            },&#xD;            reportBasicDifference: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;-&apos;](a, b);&#xD;            },&#xD;            reportBasicProduct: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;*&apos;](a, b);&#xD;            },&#xD;            reportBasicQuotient: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (fn[&apos;=&apos;](b, &apos;0&apos;) &amp;&amp; !fn[&apos;=&apos;](a, &apos;0&apos;)) {&#xD;                      return (fn[&apos;&lt;&apos;](a, &apos;0&apos;) ? SchemeNumber(&apos;-inf.0&apos;) : SchemeNumber(&apos;+inf.0&apos;))&#xD;                };&#xD;                if (Number.isNaN(a) || Number.isNaN(b) || fn[&apos;=&apos;](b, &apos;0&apos;)) return NaN;&#xD;                return fn[&apos;/&apos;](a, b);&#xD;            },&#xD;            reportBasicPower: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;expt&apos;](a, b);&#xD;            },&#xD;            reportBasicModulus: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                var result = fn.mod(a, b);&#xD;                if (fn[&apos;&lt;&apos;](b, &apos;0&apos;) &amp;&amp; fn[&apos;&gt;&apos;](result, &apos;0&apos;)) {&#xD;                    result = fn[&apos;+&apos;](result, b);&#xD;                }&#xD;                return result;&#xD;            },&#xD;            reportBasicRandom: function (min, max) {&#xD;                var floor = parseNumber(min),&#xD;                    ceil = parseNumber(max);&#xD;                if (Number.isNaN(floor) || Number.isNaN(ceil)) return NaN;&#xD;                if (!fn[&apos;=&apos;](fn.mod(floor, &apos;1&apos;), &apos;0&apos;) || !fn[&apos;=&apos;](fn.mod(ceil, &apos;1&apos;), &apos;0&apos;)) {&#xD;                    // One of the numbers isn&apos;t whole. Include the decimal.&#xD;                    return fn[&apos;+&apos;](&#xD;                        fn[&apos;*&apos;](&#xD;                            Math.random(),&#xD;                            fn[&apos;-&apos;](ceil, floor)&#xD;                        ),&#xD;                        floor&#xD;                    );&#xD;                }&#xD;                return fn.floor(&#xD;                    fn[&apos;+&apos;](&#xD;                        fn[&apos;*&apos;](&#xD;                            Math.random(),&#xD;                            fn[&apos;+&apos;](&#xD;                                fn[&apos;-&apos;](ceil, floor),&#xD;                                &apos;1&apos;&#xD;                            )&#xD;                        ),&#xD;                        floor&#xD;                    )&#xD;                );&#xD;            },&#xD;            reportBasicLessThan: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;&lt;&apos;](a, b);&#xD;            },&#xD;            reportBasicGreaterThan: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;&gt;&apos;](a, b);&#xD;            },&#xD;            reportEqual: function (a, b) {&#xD;                x = parseNumber(a);&#xD;                y = parseNumber(b);&#xD;                if (Number.isNaN(x) || Number.isNaN(y)) return snapEquals(a, b);&#xD;                return fn[&apos;=&apos;](x, y);&#xD;            },&#xD;            reportIsIdentical: function (a, b) {&#xD;                x = parseNumber(a);&#xD;                y = parseNumber(b);&#xD;                if (Number.isNaN(x) || Number.isNaN(y)) return originalPrims.reportIsIdentical(a, b);&#xD;                return fn[&apos;=&apos;](x, y);&#xD;            },&#xD;            reportMonadic: function (fname, n) {&#xD;                if (this.enableHyperOps) {&#xD;                    if (n instanceof List) {&#xD;                        return n.map(each =&gt; this.reportMonadic(fname, each));&#xD;                    }&#xD;                }&#xD;&#xD;                n = parseNumber(n);&#xD;                if (Number.isNaN(n)) return NaN;&#xD;&#xD;                switch (Process.prototype.inputOption(fname)) {&#xD;                case &apos;abs&apos;:&#xD;                    return fn.abs(n);&#xD;                case &apos;neg&apos;:&#xD;                    return fn[&apos;-&apos;](n);&#xD;                case &apos;ceiling&apos;:&#xD;                    return fn.ceiling(n);&#xD;                case &apos;floor&apos;:&#xD;                    return fn.floor(n);&#xD;                case &apos;sqrt&apos;:&#xD;                    return sqrt(n);&#xD;                case &apos;sin&apos;:&#xD;                    return fn.sin(radians(n));&#xD;                case &apos;cos&apos;:&#xD;                    return fn.cos(radians(n));&#xD;                case &apos;tan&apos;:&#xD;                    return fn.tan(radians(n));&#xD;                case &apos;asin&apos;:&#xD;                    return degrees(fn.asin(n));&#xD;                case &apos;acos&apos;:&#xD;                    return degrees(fn.acos(n));&#xD;                case &apos;atan&apos;:&#xD;                    return degrees(fn.atan(n));&#xD;                case &apos;ln&apos;:&#xD;                    return fn.log(n);&#xD;                case &apos;log&apos;:&#xD;                    return fn.log(n, &apos;10&apos;);&#xD;                case &apos;lg&apos;:&#xD;                    return fn.log(n, &apos;2&apos;);&#xD;                case &apos;e^&apos;:&#xD;                    return fn.exp(n);&#xD;                case &apos;10^&apos;:&#xD;                    return fn.expt(&apos;10&apos;, n);&#xD;                case &apos;2^&apos;:&#xD;                    return fn.expt(&apos;2&apos;, n);&#xD;                default:&#xD;                    return SchemeNumber(&apos;0&apos;);&#xD;                }&#xD;            }&#xD;        });&#xD;    } else {&#xD;        InputSlotMorph.prototype.evaluate = window.bigNumbers.originalEvaluate;&#xD;        VariableFrame.prototype.changeVar = window.bigNumbers.originalChangeVar;&#xD;        Object.assign(Process.prototype, originalPrims);&#xD;    }&#xD;    done = true;&#xD;}&#xD;&#xD;function parseNumber (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;    if (!fn[&apos;number?&apos;](n)) {&#xD;        n = &apos;&apos; + n;&#xD;        try {&#xD;            return parseENotation(n) || SchemeNumber(n);&#xD;        } catch (err) {&#xD;            return NaN;&#xD;        }&#xD;    }&#xD;    return n;&#xD;}&#xD;&#xD;function parseENotation (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;&#xD;    var numbers = n.match(/^(-?\d+\.?\d*|-?\.\d+)e(-?\d+)$/i);&#xD;    if (!numbers) return null;&#xD;&#xD;    var coefficient = numbers[1];&#xD;    var exponent = numbers[2];&#xD;    return fn[&apos;*&apos;](&#xD;        coefficient,&#xD;        fn.expt(&apos;10&apos;, exponent)&#xD;    );&#xD;}&#xD;&#xD;function sqrt (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;&#xD;    if (!fn[&apos;exact?&apos;](n) || !fn[&apos;rational?&apos;](n) || fn[&apos;&lt;&apos;](n,&apos;0&apos;)) return fn.sqrt(n);&#xD;&#xD;    var rootNumerator = fn[&apos;exact-integer-sqrt&apos;](fn.numerator(n));&#xD;    if (!fn[&apos;=&apos;](rootNumerator[1], &apos;0&apos;)) return fn.sqrt(n);&#xD;&#xD;    var rootDenominator = fn[&apos;exact-integer-sqrt&apos;](fn.denominator(n));&#xD;    if (!fn[&apos;=&apos;](rootDenominator[1], &apos;0&apos;)) return fn.sqrt(n);&#xD;&#xD;    return fn[&apos;/&apos;](rootNumerator[0], rootDenominator[0]);&#xD;}&#xD;&#xD;function isDone () {&#xD;    return done;&#xD;}&#xD;&#xD;if (window.bigNumbers) {&#xD;    loadBlocks();&#xD;} else {&#xD;    initialize(loadBlocks);&#xD;}&#xD;&#xD;return isDone;</l></block><list><block var="bool"/></list></block></block><block s="doWaitUntil"><block s="evaluate"><block var="isDone"/><list></list></block></block></script></block-definition><block-definition s="%&apos;n&apos; !" type="reporter" category="operators"><comment x="0" y="0" w="190.66666666666666" collapsed="false">The factorial function, to make very large numbers, to demo bignums.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportEquals"><block var="n"/><l>0</l></block><l>1</l><block s="reportProduct"><block var="n"/><custom-block s="%n !"><block s="reportDifference"><block var="n"/><l>1</l></block></custom-block></block></block></block></script></block-definition><block-definition s="Scheme number %&apos;function&apos; of %&apos;number&apos;" type="reporter" category="operators"><comment x="0" y="0" w="300" collapsed="true">Provides Scheme arithmetic functions not in JavaScript</comment><header></header><code></code><translations>pt:_ de _&#xD;</translations><inputs><input type="%s" readonly="true"><options>number?&#xD;complex?&#xD;real?&#xD;rational?&#xD;integer?&#xD;exact?&#xD;inexact?&#xD;exact&#xD;inexact&#xD;finite?&#xD;infinite?&#xD;nan?&#xD;numerator&#xD;denominator&#xD;real-part&#xD;imag-part&#xD;magnitude&#xD;angle</options></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>which</l><l>num</l></list><l>function parseNumber (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;    if (!fn[&apos;number?&apos;](n)) {&#xD;        n = &apos;&apos; + n;&#xD;        try {&#xD;            return parseENotation(n) || SchemeNumber(n);&#xD;        } catch (err) {&#xD;            return NaN;&#xD;        }&#xD;    }&#xD;    return n;&#xD;}&#xD;&#xD;function parseENotation (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;&#xD;    var numbers = n.match(/^(-?\d+\.?\d*|-?\.\d+)e(-?\d+)$/i);&#xD;    if (!numbers) return null;&#xD;&#xD;    var coefficient = numbers[1];&#xD;    var exponent = numbers[2];&#xD;    return fn[&apos;*&apos;](&#xD;        coefficient,&#xD;        fn.expt(&apos;10&apos;, exponent)&#xD;    );&#xD;}&#xD;var fn=SchemeNumber.fn,&#xD;      number=parseNumber(num);&#xD;&#xD;switch (which) {&#xD;  case &apos;number?&apos;:&#xD;  case &apos;complex?&apos;:&#xD;    return (fn[&apos;number?&apos;](number));&#xD;  case &apos;real?&apos;:&#xD;    return (fn[&apos;real?&apos;](number) || fn[&apos;real-valued?&apos;](number));&#xD;  case &apos;rational?&apos;:&#xD;    return (fn[&apos;rational?&apos;](number) || (fn[&apos;=&apos;](number, fn.rationalize(number, parseNumber(&apos;1.0e-5&apos;)))));&#xD;  case &apos;integer?&apos;:&#xD;    return (fn[&apos;integer?&apos;](number) || fn[&apos;integer-valued?&apos;](number));&#xD;  case &apos;exact?&apos;:&#xD;  case &apos;inexact?&apos;:&#xD;  case &apos;finite?&apos;:&#xD;  case &apos;infinite?&apos;:&#xD;  case &apos;nan?&apos;:&#xD;  case &apos;real-part&apos;:&#xD;  case &apos;imag-part&apos;:&#xD;    return (fn[which](number));&#xD;  case &apos;magnitude&apos;:&#xD;    return (fn.magnitude(number));&#xD;  case &apos;angle&apos;:&#xD;    return (fn.angle(number));&#xD;  case &apos;numerator&apos;:&#xD;    return (fn.numerator(number));&#xD;  case &apos;denominator&apos;:&#xD;    return (fn.denominator(number));&#xD;  case &apos;exact&apos;:&#xD;    return (fn.exact(number));&#xD;case &apos;inexact&apos;:&#xD;    return (fn.inexact(number));&#xD;}</l></block><list><block var="function"/><block var="number"/></list></block></block></script></block-definition><block-definition s="%&apos;frequency&apos; Hz for %&apos;duration&apos; secs at %&apos;sample rate&apos; Hz sample rate" type="reporter" category="sound"><comment x="0" y="0" w="205" collapsed="false">generate a list of samples representing a sine wave at the given frequency, duration and sample rate</comment><header></header><code></code><translations>pt:as amostras de som com _ Hz de _ s amostrado a _ Hz&#xD;</translations><inputs><input type="%n">440<options>a 55=55&#xD;a 110=110&#xD;a 220=220&#xD;a 440=440&#xD;a 880=880&#xD;a 1760=1760&#xD;a 3520=3520</options></input><input type="%n">1</input><input type="%n">44100<options>22.05 kHz=22050&#xD;44.1 kHz=44100&#xD;88.2 kHz=88200&#xD;96 kHz=96000</options></input></inputs><script><block s="doDeclareVariables"><list><l>output</l><l>sample period</l><l>duration in samples</l><l>time</l></list></block><block s="doSetVar"><l>sample period</l><block s="reportQuotient"><l>1</l><block var="sample rate"/></block></block><block s="doSetVar"><l>duration in samples</l><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportProduct"><block var="duration"/><block var="sample rate"/></block></block></block><block s="doSetVar"><l>time</l><l>0</l></block><block s="doSetVar"><l>output</l><block s="reportNewList"><list></list></block></block><block s="doWarp"><script><block s="doRepeat"><block var="duration in samples"/><script><block s="doAddToList"><block s="reportMonadic"><l><option>sin</option></l><custom-block s="degrees %n"><block s="reportProduct"><l>2</l><block s="reportProduct"><custom-block s="PI"></custom-block><block s="reportProduct"><block var="frequency"/><block var="time"/></block></block></block></custom-block></block><block var="output"/></block><block s="doChangeVar"><l>time</l><block var="sample period"/></block></script></block></script></block><block s="doReport"><block var="output"/></block></script></block-definition><block-definition s="PI" type="reporter" category="operators"><header></header><code></code><translations>pt:π&#xD;</translations><inputs></inputs><script><block s="doReport"><l>3.141592653589793</l></block></script></block-definition><block-definition s="degrees %&apos;radians&apos;" type="reporter" category="operators"><header></header><code></code><translations>pt:_ radianos em graus&#xD;</translations><inputs><input type="%n">0.5</input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportProduct"><block var="radians"/><l>180</l></block><custom-block s="PI"></custom-block></block></block></script></block-definition><block-definition s="sound named %&apos;name&apos;" type="reporter" category="sensing"><header></header><code></code><translations>pt:o som _&#xD;</translations><inputs><input type="%s"><options>§_soundsMenu</options></input></inputs><script><block s="doReport"><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportEquals"><block s="reportGetSoundAttribute"><l><option>name</option></l><l></l></block><block var="name"/></block></autolambda><list></list></block><block s="reportGet"><l><option>sounds</option></l></block></block></block></script></block-definition><block-definition s="plot sound %&apos;name&apos;" type="command" category="pen"><comment x="0" y="0" w="164" collapsed="false">quickly plot the samples of a sound, a list of samples (single channel), or a list of lists (multiple channels) to the stage at a lower resolution.</comment><header></header><code></code><translations>pt:desenha o gráfico do som _&#xD;</translations><inputs><input type="%s" readonly="true"><options>§_soundsMenu</options></input></inputs><script><block s="doDeclareVariables"><list><l>samples</l><l>step</l><l>offset</l><l>i</l><l>sound</l></list></block><block s="doSetVar"><l>sound</l><block s="reportIfElse"><block s="reportOr"><block s="reportIsA"><block var="name"/><l><option>list</option></l></block><block s="reportIsA"><block var="name"/><l><option>sound</option></l></block></block><block var="name"/><custom-block s="sound named %s"><block var="name"/></custom-block></block></block><block s="doIfElse"><block s="reportIsA"><block var="sound"/><l><option>sound</option></l></block><script><block s="doSetVar"><l>samples</l><block s="reportGetSoundAttribute"><l><option>samples</option></l><block var="sound"/></block></block><block s="doSetVar"><l>step</l><block s="reportQuotient"><block s="reportGetSoundAttribute"><l><option>length</option></l><block var="sound"/></block><block s="reportProduct"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></block></block></block></script><script><block s="doSetVar"><l>samples</l><block var="sound"/></block></script></block><block s="clear"></block><block s="up"></block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="samples"/></block><l><option>list</option></l></block><script><block s="doSetVar"><l>step</l><block s="reportQuotient"><block s="reportListLength"><block s="reportListItem"><l>1</l><block var="samples"/></block></block><block s="reportProduct"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></block></block></block><block s="doSetVar"><l>offset</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><l>4</l></block></block><block s="doForEach"><l>channel</l><block var="samples"/><script><block s="doSetVar"><l>i</l><l>0</l></block><block s="gotoXY"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><l>-2</l></block><block var="offset"/></block><block s="down"></block><block s="setSize"><l>1</l></block></script></block></script><script><block s="doSetVar"><l>step</l><block s="reportQuotient"><block s="reportListLength"><block var="samples"/></block><block s="reportProduct"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></block></block></block><block s="gotoXY"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><l>-2</l></block><l>0</l></block><block s="down"></block><block s="setSize"><l>1</l></block></script></block></script></block-definition><block-definition s="$circleSolid-1-255-0-0 record" type="reporter" category="sensing"><comment x="0" y="0" w="192" collapsed="false">records an audio snippet and reports it as a new sound, or zero if the user cancels</comment><header></header><code></code><translations>pt:$circleSolid-1-255-0-0 uma nova gravação&#xD;</translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>test</l><l>pic</l></list></block><block s="doSetVar"><l>test</l><block s="evaluate"><block s="reportJSFunction"><list></list><l>var soundRecorder,&#xD;    result = false;&#xD;&#xD;soundRecorder = new SoundRecorderDialogMorph(&#xD;    function (audio) {&#xD;        if (audio) {&#xD;            result = new Sound(audio, &apos;recording&apos;);&#xD;        } else {&#xD;            result = null;&#xD;            this.destroy();&#xD;        }&#xD;    }&#xD;);&#xD;&#xD;soundRecorder.cancel = function () {&#xD;    result = null;&#xD;    this.destroy();&#xD;};&#xD;&#xD;soundRecorder.key = &apos;microphone&apos;;&#xD;soundRecorder.popUp(this.world());&#xD;return function () {return result; };</l></block><list></list></block></block><block s="doWaitUntil"><block s="evaluate"><block s="reifyScript"><script><block s="doSetVar"><l>pic</l><block s="evaluate"><block var="test"/><list></list></block></block><block s="doReport"><block s="reportNot"><block s="reportEquals"><block var="pic"/><block s="reportBoolean"><l><bool>false</bool></l></block></block></block></block></script><list></list></block><list></list></block></block><block s="doReport"><block var="pic"/></block></script></block-definition><block-definition s="note from %&apos;pitch&apos; hz" type="reporter" category="sound"><header></header><code></code><translations>pt:a nota com _ Hz&#xD;</translations><inputs><input type="%n">440</input></inputs><script><block s="doReport"><block s="reportRound"><block s="reportSum"><block s="reportProduct"><l>12</l><block s="reportQuotient"><block s="reportMonadic"><l><option>log</option></l><block s="reportQuotient"><block var="pitch"/><l>440</l></block></block><block s="reportMonadic"><l><option>log</option></l><l>2</l></block></block></block><l>69</l></block></block></block></script></block-definition><block-definition s="hz from note %&apos;note&apos;" type="reporter" category="sound"><header></header><code></code><translations>pt:a frequência da nota _&#xD;</translations><inputs><input type="%n">69</input></inputs><script><block s="doReport"><block s="reportProduct"><l>440</l><block s="reportPower"><l>2</l><block s="reportQuotient"><block s="reportDifference"><block var="note"/><l>69</l></block><l>12</l></block></block></block></block></script></block-definition><block-definition s="name of note %&apos;note&apos;" type="reporter" category="sound"><header></header><code></code><translations>pt:o nome da nota _&#xD;</translations><inputs><input type="%n">69</input></inputs><script><block s="doReport"><block s="reportListItem"><block s="reportSum"><block s="reportModulus"><block s="reportDifference"><block var="note"/><l>69</l></block><l>12</l></block><l>1</l></block><block s="reportNewList"><list><l>A</l><l>Bb</l><l>B</l><l>C</l><l>C#</l><l>D</l><l>D#</l><l>E</l><l>F</l><l>F#</l><l>G</l><l>G#</l></list></block></block></block></script></block-definition><block-definition s="reshape as %&apos;shape&apos; $⍴-1-255-255-0 items of %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="180" collapsed="false">The first input is a shape list as in&#xD;SHAPE OF.  The output is an array with those dimensions containing  the atomic items of the second input,&#xD;repeating values if more are needed.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="reshape helper %l %l"><block var="shape"/><custom-block s="flatten (ravel) $,-1-255-255-0 %l"><block var="data"/></custom-block></custom-block></block></script></block-definition><block-definition s="shape of $⍴-1-255-255-0 %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="310" collapsed="false">Reports a flat list of the maximum size of the input array along&#xD;each dimension: number of rows, number of columns, etc.&#xD;&quot;Maximum&quot; because it works even if the array isn&apos;t uniformly shaped.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>sublists</l></list></block><block s="doIfElse"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><script><block s="doSetVar"><l>sublists</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportListIsEmpty"><l/></block></block></autolambda><list></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="shape of $⍴-1-255-255-0 %l"><l/></custom-block></autolambda><list></list></block><block var="data"/></block></block></block><block s="doIfElse"><block s="reportListIsEmpty"><block var="sublists"/></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportListLength"><block var="data"/></block></list></block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListLength"><block var="data"/></block><custom-block s="flatten (ravel) $,-1-255-255-0 %l"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><block var="number"/><l/></block></autolambda><list></list></block><block var="sublists"/></block><block s="reifyReporter"><autolambda><custom-block s="max %s $⌈-1-255-255-0 %s"><l></l><l></l></custom-block></autolambda><list></list></block></block></autolambda><list><l>number</l></list></block><block s="reportNumbers"><l>1</l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListLength"><l/></block></autolambda><list></list></block><block var="sublists"/></block><block s="reifyReporter"><autolambda><custom-block s="max %s $⌈-1-255-255-0 %s"><l></l><l></l></custom-block></autolambda><list></list></block></block></block></block></custom-block></block></block></script></block></script><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block></script></block-definition><block-definition s="max %&apos;a&apos; $⌈-1-255-255-0 %&apos;b&apos;" type="reporter" category="operators"><comment x="0" y="0" w="150.66666666666666" collapsed="false">Reports the greater of its two inputs. Works on strings too.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportGreaterThan"><block var="a"/><block var="b"/></block><block var="a"/><block var="b"/></block></autolambda><list><l>a</l><l>b</l></list></block></custom-block><list><block var="a"/><block var="b"/></list></block></block></script></block-definition><block-definition s="flatten (ravel) $,-1-255-255-0 %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="216" collapsed="false">Reports a flat list of all the atomic elements &#xD;of sublists of the input list.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportConcatenatedLists"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="flatten (ravel) $,-1-255-255-0 %l"><l/></custom-block></autolambda><list></list></block><block var="data"/></block></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block var="data"/></list></block></block></script></block></script></block-definition><block-definition s="outer product %&apos;a&apos; $○.-1-255-255-0 %&apos;function&apos; %&apos;b&apos;" type="reporter" category="lists"><comment x="0" y="0" w="297.99999999999994" collapsed="false">Given two arrays A and B, reports an array whose dimensions are&#xD;APPEND(SHAPE OF (A), SHAPE OF (B))&#xD;in which each atomic item of the result is computed by applying the dyadic function input to an item of A and an item of B.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="a"/></custom-block><l>0</l></block><script><block s="doReport"><block s="evaluate"><block var="function"/><list><block var="a"/><block var="b"/></list></block></block></script></block><block s="doIf"><block s="reportListIsEmpty"><block var="a"/></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doReport"><block s="reportCONS"><custom-block s="outer product %l $○.-1-255-255-0 %repRing %l"><block s="reportListItem"><l>1</l><block var="a"/></block><block var="function"/><block var="b"/></custom-block><custom-block s="outer product %l $○.-1-255-255-0 %repRing %l"><block s="reportCDR"><block var="a"/></block><block var="function"/><block var="b"/></custom-block></block></block></script></block-definition><block-definition s="identity $+-1-255-255-0 %&apos;x&apos;" type="reporter" category="operators"><comment x="0" y="0" w="210.00000000000003" collapsed="false">Reports its input.&#xD;This is useful to fit a value into a different-type input slot, e.g., number into list slot.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="rank of $⍴⍴-1-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="240" collapsed="true">Reports the number of dimensions of the input.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="array"/></custom-block></custom-block></block></block></script></block-definition><block-definition s="inner product helper with %&apos;plus&apos; . %&apos;times&apos; %&apos;a&apos; transposed %&apos;tb&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%repRing"></input><input type="%l"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="a"/></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="a"/></block></block><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportCONS"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="generalized dotproduct %l %l with sum %repRing product %repRing"><block s="reportListItem"><l>1</l><block var="a"/></block><l/><block var="plus"/><block var="times"/></custom-block></autolambda><list></list></block><block var="tb"/></block><custom-block s="inner product helper with %repRing . %repRing %l transposed %l"><block var="plus"/><block var="times"/><block s="reportCDR"><block var="a"/></block><block var="tb"/></custom-block></block></block></script></block><block s="doReport"><block s="reportCONS"><custom-block s="inner product helper with %repRing . %repRing %l transposed %l"><block var="plus"/><block var="times"/><block s="reportListItem"><l>1</l><block var="a"/></block><block var="tb"/></custom-block><custom-block s="inner product helper with %repRing . %repRing %l transposed %l"><block var="plus"/><block var="times"/><block s="reportCDR"><block var="a"/></block><block var="tb"/></custom-block></block></block></script></block-definition><block-definition s="transpose $⍉-1.5-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="168" collapsed="false">Takes a multidimensional array, and&#xD;reports an array whose dimensions&#xD;are reversed (as reported by&#xD;SHAPE OF).  In the case of a&#xD;two-dimensional array, does the usual transposition of rows and columns.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="array"/><l><option>list</option></l></block></block><script><block s="doReport"><block var="array"/></block></script></block><block s="doIf"><block s="reportListIsEmpty"><block var="array"/></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list></list></block></list></block></block></script><comment w="290.6666666666667" collapsed="true">If there are no atomic data, we don&apos;t have any shape information, so we can&apos;t really transpose it.  But an empty list is 0 rows of some number of columns, so the transpose should be 0 columns in some number of rows.  We arbitrarily make it 0 columns of one row.  This at least has one dimension of the shape correct.</comment></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="array"/></block><l><option>list</option></l></block></block><script><block s="doReport"><block var="array"/></block></script><comment w="274.6666666666667" collapsed="true">The transpose of a vector is just the vector itself.</comment></block><block s="doIf"><block s="reportListIsEmpty"><block s="reportListItem"><l>1</l><block var="array"/></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><comment w="274.6666666666667" collapsed="true">This is the opposite no-atomic-data situation from above.  We know that there are (length array) rows of 0 columns, so the transpose is 0 rows, i.e., an empty list.  But we lose the number of original rows, transpose columns.</comment></block><block s="doReport"><custom-block s="deep map %repRing %predRing %l"><block s="reifyReporter"><autolambda><custom-block s="nth item 1 %n %l"><block s="reportListLength"><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="array"/></custom-block></block><block s="reportListItem"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNewList"><list><l></l></list></block></autolambda><list></list></block><block var="atom"/></block><block var="array"/></block></custom-block></autolambda><list><l>atom</l></list></block><block s="reifyPredicate"><autolambda><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNot"><block s="reportIsA"><l></l><l><option>list</option></l></block></block></autolambda><list></list></block><block var="node"/></block><block s="reifyReporter"><autolambda><block s="reportAnd"><l/><l/></block></autolambda><list></list></block></block></autolambda><list><l>node</l></list></block><custom-block s="$⍳-1.5-255-255-0 %n"><custom-block s="reverse row order (column contents) $⦵-1.5-255-255-0 %l"><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="array"/></custom-block></custom-block></custom-block></custom-block></block></script><scripts><script x="690.0310872395834" y="485.55555555555566"><block var="array"/></script><script x="544.6666666666666" y="306.1111111111114"><block s="doIf"><block s="reportListIsEmpty"><block s="reportCDR"><block var="array"/></block></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNewList"><list><l></l></list></block></autolambda><list></list></block><block s="reportListItem"><l>1</l><block var="array"/></block></block></block></script><comment w="212.66666666666666" collapsed="true">This is one row, n columns.  So the transpose is n rows, one column.</comment></block></script></scripts></block-definition><block-definition s="reverse row order (column contents) $⦵-1.5-255-255-0 %&apos;list&apos;" type="reporter" category="lists"><comment x="0" y="0" w="286" collapsed="false">Reverses the order of the (toplevel) items of the input.&#xD;&#xD;If the input is a matrix, this means it reverses the order of the rows, which is a reflection through a horizontal axis, as the ⦵ symbol suggests.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="list"/></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l></l><block var="list"/></block></autolambda><list></list></block><block s="reportNumbers"><block s="reportListLength"><block var="list"/></block><l>1</l></block></block></block></script></block-definition><block-definition s="deep insert %&apos;first&apos; %&apos;rest&apos;" type="reporter" category="other"><comment x="0" y="0" w="131.33333333333334" collapsed="false">Recursively deep-inserts&#xD;the items of the first input&#xD;into the items of the second&#xD;input.  If the first input is not&#xD;a list, then it is inserted with&#xD;IN FRONT OF in the second&#xD;unless the second also isn&apos;t&#xD;a list, in which case they are&#xD;combined with LIST.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="first"/><l><option>list</option></l></block></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="rest"/><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportNewList"><list><block var="first"/><block var="rest"/></list></block></block></script></block><block s="doReport"><block s="reportCONS"><block var="first"/><block var="rest"/></block></block></script></block><block s="doIf"><block s="reportAnd"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="first"/></block><l><option>list</option></l></block></block><block s="reportListIsEmpty"><block s="reportCDR"><block var="first"/></block></block></block><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="first"/></block><block var="rest"/></block></block></script></block><block s="doReport"><custom-block s="multimap %repRing %mult%l"><block s="reifyReporter"><autolambda><custom-block s="deep insert %l %l"><l/><l/></custom-block></autolambda><list></list></block><list><block var="first"/><block var="rest"/></list></custom-block></block></script></block-definition><block-definition s="multimap %&apos;function&apos; %&apos;data&apos;" type="reporter" category="other"><comment x="0" y="0" w="215.33333333333334" collapsed="false">Like MAP, but can take any number of lists&#xD;as inputs.  The lists must all be the same size.&#xD;The function input must take a number of inputs&#xD;equal to the number of lists.  MULTIMAP calls&#xD;the function with all the first items, then all the&#xD;second items, and so on.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doIf"><custom-block s="combine in rows (reduce by column vectors) %repRing $/-1-255-255-0 %l"><block s="reifyReporter"><autolambda><block s="reportOr"><l/><l/></block></autolambda><list></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListIsEmpty"><l/></block></autolambda><list></list></block><block var="data"/></block></custom-block><script><block s="doIfElse"><custom-block s="combine in rows (reduce by column vectors) %repRing $/-1-255-255-0 %l"><block s="reifyReporter"><autolambda><block s="reportAnd"><l/><l/></block></autolambda><list></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListIsEmpty"><l/></block></autolambda><list></list></block><block var="data"/></block></custom-block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><custom-block s="error %txt"><l>Non-conforming shapes.</l></custom-block></script></block></script></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="function"/><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><block var="data"/></block></block><custom-block s="multimap %repRing %mult%l"><block var="function"/><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><block var="data"/></block></custom-block></block></block></script></block-definition><block-definition s="printable %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="188.66666666666666" collapsed="false">Takes a (possibly deep) list as input,&#xD;and reports a human-readable text form &#xD;of the list (namely, Lisp notation).</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><block s="doReport"><block var="data"/></block></script></block><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doReport"><l>()</l></block></script></block><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="printable %l"><l/></custom-block></autolambda><list></list></block><block var="data"/></block><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l> </l><l></l></list></block></autolambda><list></list></block></block><l>)</l></list></block></block></script></block-definition><block-definition s="generalized dotproduct %&apos;a&apos; %&apos;b&apos; with sum %&apos;sum&apos; product %&apos;product&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input><input type="%repRing"></input><input type="%repRing"></input></inputs><script><block s="doReport"><block s="reportCombine"><custom-block s="multimap %repRing %mult%l"><block var="product"/><list><block var="a"/><block var="b"/></list></custom-block><block var="sum"/></block></block></script></block-definition><block-definition s="inner product %&apos;a&apos; %&apos;plus&apos; $.-1-255-255-0 %&apos;times&apos; %&apos;b&apos;" type="reporter" category="lists"><comment x="0" y="0" w="252.66666666666666" collapsed="false">Computes a generalized matrix multiplication.&#xD;&#xD;In normal matrix multiplication, each cell of the result&#xD;is computed by multiplying individual numbers within&#xD;a row of the left input and a column of the right input,&#xD;and then adding those products.  In APL terms this is&#xD;+.× (&quot;plus dot times&quot;)&#xD;Any dyadic functions can replace addition and multiplication in this algorithm; a common case is&#xD;∨.∧ (&quot;or dot and&quot;)</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%repRing"></input><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="a"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>a</l><block s="reportNewList"><list><block var="a"/></list></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="b"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>b</l><block s="reportNewList"><list><block var="b"/></list></block></block></script></block><block s="doIf"><block s="reportAnd"><block s="reportEquals"><block s="reportListItem"><l><option>last</option></l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="a"/></custom-block></block><l>1</l></block><block s="reportGreaterThan"><block s="reportListItem"><l>1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="b"/></custom-block></block><l>1</l></block></block><script><block s="doDeclareVariables"><list><l>ta</l></list></block><block s="doSetVar"><l>ta</l><custom-block s="transpose $⍉-1.5-255-255-0 %l"><block var="a"/></custom-block></block><block s="doSetVar"><l>a</l><custom-block s="transpose $⍉-1.5-255-255-0 %l"><block s="reportMap"><block s="reifyReporter"><autolambda><block var="ta"/></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block s="reportListItem"><l>1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="b"/></custom-block></block></block></block></custom-block></block></script></block><block s="doIf"><block s="reportAnd"><block s="reportGreaterThan"><block s="reportListItem"><l><option>last</option></l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="a"/></custom-block></block><l>1</l></block><block s="reportEquals"><block s="reportListItem"><l>1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="b"/></custom-block></block><l>1</l></block></block><script><block s="doSetVar"><l>b</l><block s="reportMap"><block s="reifyReporter"><autolambda><block var="b"/></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block s="reportListItem"><l><option>last</option></l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="a"/></custom-block></block></block></block></block></script></block><block s="doReport"><custom-block s="inner product helper with %repRing . %repRing %l transposed %l"><block var="plus"/><block var="times"/><block var="a"/><custom-block s="transpose $⍉-1.5-255-255-0 %l"><block var="b"/></custom-block></custom-block></block></script></block-definition><block-definition s="min %&apos;a&apos; $⌊-1.2-255-255-0 %&apos;b&apos;" type="reporter" category="operators"><comment x="0" y="0" w="211.33333333333334" collapsed="true">Reports the smaller of its two inputs.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportLessThan"><block var="a"/><block var="b"/></block><block var="a"/><block var="b"/></block></autolambda><list><l>a</l><l>b</l></list></block></custom-block><list><block var="a"/><block var="b"/></list></block></block></script></block-definition><block-definition s="log base %&apos;b&apos; $⍟-1.5-255-255-0 %&apos;x&apos;" type="reporter" category="operators"><comment x="0" y="0" w="212" collapsed="false">Computes logarithms in any base.&#xD;&#xD;The base is the left input.  It&apos;s usual in APL that if there&apos;s a main data input and some sort of control input, the latter comes on the left.  This is because APL syntax, unless you use parentheses, groups computations from right to left.&#xD;&#xD;APL has a monadic version of this function that computes natural logs (log to the base e).</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><autolambda><block s="reportQuotient"><block s="reportMonadic"><l><option>ln</option></l><block var="x"/></block><block s="reportMonadic"><l><option>ln</option></l><block var="b"/></block></block></autolambda><list><l>b</l><l>x</l></list></block></custom-block><list><block var="b"/><block var="x"/></list></block></block></script></block-definition><block-definition s="combs %&apos;r&apos; at a time $!-1-255-255-0 of %&apos;n&apos;" type="reporter" category="operators"><comment x="0" y="0" w="218.66666666666666" collapsed="false">Computes the number of combinations of right-input things taken left-input at a time, otherwise known as the elements of Pascal&apos;s triangle.  This block shares the ! symbol with the monadic factorial function, because the formula for computing this function uses factorials.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportAnd"><custom-block s="%s ≥ %s"><block var="n"/><l>0</l></custom-block><block s="reportAnd"><custom-block s="%s ≥ %s"><block var="r"/><l>0</l></custom-block><custom-block s="%s ≤ %s"><block var="r"/><block var="n"/></custom-block></block></block><block s="reportQuotient"><custom-block s="factorial $!-1-255-255-0 %n"><block var="n"/></custom-block><block s="reportProduct"><custom-block s="factorial $!-1-255-255-0 %n"><block var="r"/></custom-block><custom-block s="factorial $!-1-255-255-0 %n"><block s="reportDifference"><block var="n"/><block var="r"/></block></custom-block></block></block><l>0</l></block></autolambda><list><l>r</l><l>n</l></list></block></custom-block><list><block var="r"/><block var="n"/></list></block></block></script></block-definition><block-definition s="factorial $!-1-255-255-0 %&apos;n&apos;" type="reporter" category="operators"><comment x="0" y="0" w="172.66666666666666" collapsed="false">The factorial of a positive integer n is the product of the integers from 1 to n.&#xD;&#xD;In real APL, the domain of this function is extended beyond integers to compute the gamma function.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="n"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="factorial $!-1-255-255-0 %n"><l></l></custom-block></autolambda><list></list></block><block var="n"/></block></block></script><script><block s="doReport"><block s="reportIfElse"><custom-block s="zero? %n"><block var="n"/></custom-block><l>1</l><custom-block s="combine in rows (reduce by column vectors) %repRing $/-1-255-255-0 %l"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block var="n"/></block></custom-block></block></block></script></block></script></block-definition><block-definition s="combine in rows (reduce by column vectors) %&apos;func&apos; $/-1-255-255-0 %&apos;stuff&apos;" type="reporter" category="lists"><comment x="0" y="0" w="288.6666666666667" collapsed="false">This function has two names because there are two ways&#xD;to understand it.&#xD;&#xD;Lisp way:  A matrix is a list of rows.  This block combines the numbers in each row, producing one value for the entire row.&#xD;&#xD;APL way:  A matrix is made of vectors.  This block takes each column as a vector, and does vector arithmetic on the columns, producing one column as the result.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doIfElse"><block s="reportGreaterThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="stuff"/></custom-block><l>1</l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="combine in rows (reduce by column vectors) %repRing $/-1-255-255-0 %l"><block var="func"/><l/></custom-block></autolambda><list></list></block><block var="stuff"/></block></block></script><script><block s="doReport"><block s="reportCombine"><block var="stuff"/><block var="func"/></block></block></script></block></script></block-definition><block-definition s="error %&apos;msg&apos;" type="command" category="control"><header></header><code></code><translations>pt:lança o erro _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>msg</l></list><l>throw new Error(msg);</l></block><list><block var="msg"/></list></block></script></block-definition><block-definition s="%&apos;a&apos; scalar %&apos;pred&apos; %&apos;b&apos;" type="predicate" category="operators"><comment x="0" y="0" w="190" collapsed="false">Acts just like the function selected from&#xD;the pulldown menu, but hyperized, so&#xD;comparing two equal-sized lists reports&#xD;a list of the same length as the inputs,&#xD;with the results of item-by-item comparisons.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s" readonly="true">﹦<options>﹦&#xD;≠&#xD;identical to&#xD;and&#xD;or&#xD;is _ a _?</options></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><autolambda><block s="evaluate"><block s="reportListItem"><block s="reportListIndex"><block var="pred"/><block s="reportNewList"><list><l>﹦</l><l>≠</l><l>identical to</l><l>and</l><l>or</l><l>is _ a _?</l></list></block></block><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportEquals"><l></l><l></l></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportEquals"><l></l><l></l></block></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportIsIdentical"><l></l><l></l></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportAnd"><l/><l/></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportOr"><l/><l/></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportIsA"><l></l><l></l></block></autolambda><list></list></block></list></block></block><list><block var="a"/><block var="b"/></list></block></autolambda><list><l>a</l><l>b</l></list></block></custom-block><list><block var="a"/><block var="b"/></list></block></block></script></block-definition><block-definition s="%&apos;howmany&apos; deal $?-1-255-255-0 %&apos;range&apos;" type="reporter" category="operators"><comment x="0" y="0" w="177.33333333333334" collapsed="false">Report a list with left-input random integers in the range 1 to right-input.&#xD;No number appears more than once&#xD;in the result.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><autolambda><custom-block s="%n deal helper %l"><block var="howmany"/><block s="reportNumbers"><l>1</l><block var="range"/></block></custom-block></autolambda><list><l>howmany</l><l>range</l></list></block></custom-block><list><block var="howmany"/><block var="range"/></list></block></block></script></block-definition><block-definition s="%&apos;howmany&apos; deal helper %&apos;data&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportEquals"><block var="howmany"/><l>0</l></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doDeclareVariables"><list><l>choice</l></list></block><block s="doSetVar"><l>choice</l><block s="reportListItem"><block s="reportRandom"><l>1</l><block s="reportListLength"><block var="data"/></block></block><block var="data"/></block></block><block s="doReport"><block s="reportCONS"><block var="choice"/><custom-block s="%n deal helper %l"><block s="reportDifference"><block var="howmany"/><l>1</l></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportEquals"><l></l><block var="choice"/></block></block></autolambda><list></list></block><block var="data"/></block></custom-block></block></block></script></block-definition><block-definition s="signum $×-1-255-255-0 %&apos;num&apos;" type="reporter" category="operators"><comment x="0" y="0" w="159.99999999999997" collapsed="false">Reports 1 if the input is positive,&#xD;0 if the input is zero,&#xD;or -1 if the input is negative.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="num"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="signum $×-1-255-255-0 %n"><l></l></custom-block></autolambda><list></list></block><block var="num"/></block></block></script></block><block s="doIf"><block s="reportListContainsItem"><block s="reportNewList"><list><l>0</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block var="num"/></block><script><block s="doReport"><l>0</l></block></script></block><block s="doReport"><block s="reportQuotient"><block var="num"/><block s="reportMonadic"><l><option>abs</option></l><block var="num"/></block></block></block></script></block-definition><block-definition s="reciprocal $÷-1-255-255-0 %&apos;num&apos;" type="reporter" category="operators"><comment x="0" y="0" w="102.66666666666667" collapsed="false">reports 1 divided&#xD;by its input.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportQuotient"><l>1</l><block var="num"/></block></block></script></block-definition><block-definition s="roll $?-1-255-255-0 %&apos;num&apos;" type="reporter" category="operators"><comment x="0" y="0" w="180.66666666666666" collapsed="false">This block reports a random integer between 1 and its input.  To roll more than one die, use (for three dice)&#xD;roll (reshape as 3 items of 6)&#xD;APL:  ?3⍴6&#xD;Don&apos;t use reshape as 3 items of roll 6, because that would roll one die and report 3 copies of the same random roll. </comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportRandom"><l>1</l><block var="num"/></block></block></script></block-definition><block-definition s="GCD (or) %&apos;a&apos; $∨-1.2-255-255-0 %&apos;b&apos;" type="reporter" category="operators"><comment x="0" y="0" w="230.66666666666666" collapsed="false">Reports the greatest common divisor of its inputs.&#xD;If the inputs are values in {0,1} then this is equivalent to the logical OR of the values, with 0=False, 1=True.  Hence the APL symbol ∨.&#xD;Also accepts Snap! Booleans as inputs.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><script><block s="doIf"><block s="reportListContainsItem"><block s="reportNewList"><list><l>0</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block var="b"/></block><script><block s="doReport"><block var="a"/></block></script></block><block s="doReport"><custom-block s="GCD (or) %n $∨-1.2-255-255-0 %n"><block var="b"/><block s="reportModulus"><block var="a"/><block var="b"/></block></custom-block></block></script><list><l>a</l><l>b</l></list></block></custom-block><list><block var="a"/><block var="b"/></list></block></block></script></block-definition><block-definition s="scalar -&gt; hyper %&apos;func&apos;" type="reporter" category="control"><comment x="0" y="0" w="218" collapsed="false">Takes a dyadic scalar function as input, and&#xD;hyperizes it, so that it can take lists as inputs.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input></inputs><script><block s="doDeclareVariables"><list><l>hyper func</l></list></block><block s="doSetVar"><l>hyper func</l><block s="reifyReporter"><script><block s="doIfElse"><custom-block s="scalar? %s"><block var="a"/></custom-block><script><block s="doIfElse"><custom-block s="scalar? %s"><block var="b"/></custom-block><script><block s="doReport"><block s="evaluate"><block var="func"/><list><custom-block s="scalar-value helper %s"><block var="a"/></custom-block><custom-block s="scalar-value helper %s"><block var="b"/></custom-block></list></block></block></script><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="hyper func"/><list><custom-block s="scalar-value helper %s"><block var="a"/></custom-block><l></l></list></block></autolambda><list></list></block><block var="b"/></block></block></script></block></script><script><block s="doIfElse"><custom-block s="scalar? %s"><block var="b"/></custom-block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="hyper func"/><list><l></l><custom-block s="scalar-value helper %s"><block var="b"/></custom-block></list></block></autolambda><list></list></block><block var="a"/></block></block></script><script><block s="doReport"><custom-block s="multimap %repRing %mult%l"><block var="hyper func"/><list><block var="a"/><block var="b"/></list></custom-block></block></script></block></script></block></script><list><l>a</l><l>b</l></list></block></block><block s="doReport"><block var="hyper func"/></block></script></block-definition><block-definition s="scalar? %&apos;x&apos;" type="predicate" category="other"><comment x="0" y="0" w="199.33333333333334" collapsed="false">Reports True if the input is an APL scalar,&#xD;i.e., either an atomic (non-list) value, or&#xD;an array (list of lists) of any depth with only&#xD;one atomic item, e.g., (list (list (list (3)))).</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="x"/><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block><block s="doReport"><block s="reportEquals"><block s="reportCombine"><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="x"/></custom-block><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block></block><l>1</l></block></block></script></block-definition><block-definition s="scalar-value helper %&apos;x&apos;" type="reporter" category="other"><comment x="0" y="0" w="200.66666666666666" collapsed="false">The input must be a value for which SCALAR? reports true, i.e., either an atom or a list of any depth but only one scalar item of item of... etc.  This function returns the underlying scalar (number, etc.).</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="x"/><l><option>list</option></l></block></block><script><block s="doReport"><block var="x"/></block></script></block><block s="doReport"><custom-block s="scalar-value helper %s"><block s="reportListItem"><l>1</l><block var="x"/></block></custom-block></block></script></block-definition><block-definition s="LCM (and) %&apos;a&apos; $∧-1.2-255-255-0 %&apos;b&apos;" type="reporter" category="operators"><comment x="0" y="0" w="230.66666666666666" collapsed="false">Reports the least common multiple of its inputs.&#xD;If the inputs are values in {0,1} then this is equivalent to the logical AND of the values, with 0=False, 1=True.  Hence the APL symbol ∧.&#xD;Also accepts Snap! Booleans as inputs.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><script><block s="doIf"><block s="reportListContainsItem"><block s="reportNewList"><list><l>0</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block var="b"/></block><script><block s="doReport"><block var="b"/></block></script></block><block s="doReport"><block s="reportProduct"><block var="a"/><block s="reportQuotient"><block var="b"/><custom-block s="GCD (or) %n $∨-1.2-255-255-0 %n"><block var="a"/><block var="b"/></custom-block></block></block></block></script><list><l>a</l><l>b</l></list></block></custom-block><list><block var="a"/><block var="b"/></list></block></block></script></block-definition><block-definition s="NAND %&apos;a&apos; $⍲-1.4-255-255-0 %&apos;b&apos;" type="predicate" category="operators"><comment x="0" y="0" w="198.66666666666666" collapsed="false">Reports the not-and of its inputs, in the form&#xD;0 for false, 1 for true.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="NOT $&#126;-1-255-255-0 %s"><custom-block s="LCM (and) %n $∧-1.2-255-255-0 %n"><block var="a"/><block var="b"/></custom-block></custom-block></block></script></block-definition><block-definition s="NOT $&#126;-1-255-255-0 %&apos;p&apos;" type="reporter" category="operators"><comment x="0" y="0" w="167.33333333333334" collapsed="false">Reports 1 if the input is False or 0;&#xD;otherwise reports 0.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block s="reportDifference"><l>1</l><custom-block s="signum $×-1-255-255-0 %n"><block var="p"/></custom-block></block></block></script></block-definition><block-definition s="NOR %&apos;a&apos; $⍱-1.4-255-255-0 %&apos;b&apos;" type="predicate" category="operators"><comment x="0" y="0" w="198.66666666666666" collapsed="false">Reports the not-and of its inputs, in the form&#xD;0 for false, 1 for true.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="NOT $&#126;-1-255-255-0 %s"><custom-block s="GCD (or) %n $∨-1.2-255-255-0 %n"><block var="a"/><block var="b"/></custom-block></custom-block></block></script></block-definition><block-definition s="%&apos;a&apos; ≤ %&apos;b&apos;" type="predicate" category="operators"><comment x="0" y="0" w="151.33333333333334" collapsed="false">Reports True if the left input is&#xD;less than or equal to the right input.&#xD;&#xD;Reports a Snap! Boolean, not an integer 0 or 1.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="truth %s"><custom-block s="NOT $&#126;-1-255-255-0 %s"><block s="reportGreaterThan"><block var="a"/><block var="b"/></block></custom-block></custom-block></block></script></block-definition><block-definition s="%&apos;a&apos; ≥ %&apos;b&apos;" type="predicate" category="operators"><comment x="0" y="0" w="152.66666666666666" collapsed="false">Reports True if the left input is&#xD;greater than than or equal to&#xD;the right input.&#xD;&#xD;Reports a Snap! Boolean, not an integer 0 or 1.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="truth %s"><custom-block s="NOT $&#126;-1-255-255-0 %s"><block s="reportLessThan"><block var="a"/><block var="b"/></block></custom-block></custom-block></block></script></block-definition><block-definition s="XOR %&apos;a&apos; $≠-1-255-255-0 %&apos;b&apos;" type="predicate" category="operators"><comment x="0" y="0" w="190" collapsed="false">Reports 0 if its inputs are equal;&#xD;reports 1 if its inputs are not equal.&#xD;The inputs can have any non-list values.&#xD;(Lists are hyperized.)  If the inputs are&#xD;Booleans (True/False or 1/0), this is&#xD;also the exclusive-or function.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="%s scalar %s %s"><block var="a"/><l>≠</l><block var="b"/></custom-block></block></script></block-definition><block-definition s="zero? %&apos;n&apos;" type="predicate" category="other"><comment x="0" y="0" w="202.66666666666666" collapsed="true">reports True iff the input is 0 or False.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportListContainsItem"><block s="reportNewList"><list><l>0</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block var="n"/></block></block></script></block-definition><block-definition s="truth %&apos;n&apos;" type="predicate" category="other"><comment x="0" y="0" w="198.66666666666666" collapsed="false">Reports a Snap! Boolean False if the input&#xD;is False or 0; reports True otherwise.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportIsA"><block var="n"/><l><option>Boolean</option></l></block><block var="n"/><block s="reportNot"><block s="reportEquals"><block var="n"/><l>0</l></block></block></block></block></script></block-definition><block-definition s="make scalar %&apos;value&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><custom-block s="scalar? %s"><block var="value"/></custom-block><script><block s="doReport"><custom-block s="scalar-value helper %s"><block var="value"/></custom-block></block></script></block><custom-block s="error %txt"><block s="reportJoinWords"><list><l>Make scalar called with non-singleton input </l><block var="value"/></list></block></custom-block></script></block-definition><block-definition s="$⍳-1.5-255-255-0 %&apos;n&apos;" type="reporter" category="lists"><comment x="0" y="0" w="290.6666666666667" collapsed="false">If the input is a positive integer, reports a list of the numbers&#xD;from 1 to that input.  (If the input is 0, reports an empty list.)&#xD;&#xD;If the input is a list of positive integers, reports an array with&#xD;the shape specified by the input (as in ⍴ reshape) in which&#xD;each item is a list of the indices of that item in the array&#xD;(so technically the shape has one more dimension&#xD;than the input, whose size is the size of the input).</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="n"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="n"/></custom-block><l>1</l></block><script><block s="doIfElse"><custom-block s="zero? %n"><custom-block s="combine in rows (reduce by column vectors) %repRing $/-1-255-255-0 %l"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block><block var="n"/></custom-block></custom-block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><custom-block s="reshape helper %l %l"><block var="n"/><custom-block s="crossproduct %mult%l"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="$⍳-1.5-255-255-0 %n"><l></l></custom-block></autolambda><list></list></block><block var="n"/></block></custom-block></custom-block></block></script></block></script><script><custom-block s="error %txt"><l>Input to ⍳ can&apos;t be a list of lists.</l></custom-block></script></block></script><script><block s="doReport"><block s="reportIfElse"><custom-block s="zero? %n"><block var="n"/></custom-block><block s="reportNewList"><list></list></block><block s="reportNumbers"><l>1</l><block var="n"/></block></block></block></script></block></script></block-definition><block-definition s="where in %&apos;vector&apos; is $⍳-1.5-255-255-0 %&apos;items&apos;" type="reporter" category="lists"><comment x="0" y="0" w="334.6666666666667" collapsed="false">If the rank of the left input is one more than the rank of the right input,&#xD;reports the index of the right input in the left input, or if not found,&#xD;reports one more than the length of the left input.&#xD;&#xD;If the rank of the left input is equal to the rank of the right input,&#xD;reports a vector of the indices of the items of the right input&#xD;in the left input (mapping this function over the right input).&#xD;&#xD;If the rank of the left input is more than that of the right input by 2 or more,&#xD;reports a vector, the location of the right input in the left in each dimension.&#xD;&#xD;It is an error if the rank of the left input is less than that of the right input.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doIf"><block s="reportLessThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="vector"/></custom-block><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="items"/></custom-block></block><script><custom-block s="error %txt"><l>Left input to ⍳ must have greater or equal rank to right input.</l></custom-block></script></block><block s="doIf"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="vector"/></custom-block><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="items"/></custom-block></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="where in %l is $⍳-1.5-255-255-0 %s"><block var="vector"/><l></l></custom-block></autolambda><list></list></block><block var="items"/></block></block></script></block><block s="doIf"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="vector"/></custom-block><block s="reportSum"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="items"/></custom-block><l>1</l></block></block><script><block s="doSetVar"><l>result</l><block s="reportListIndex"><block var="items"/><block var="vector"/></block></block><block s="doReport"><block s="reportIfElse"><custom-block s="zero? %n"><block var="result"/></custom-block><block s="reportSum"><block s="reportListLength"><block var="vector"/></block><l>1</l></block><block var="result"/></block></block></script></block><block s="doSetVar"><l>result</l><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><custom-block s="%l deep contains %s"><l/><block var="items"/></custom-block></autolambda><list></list></block><block var="vector"/></block></block><block s="doIf"><block s="reportEquals"><block var="result"/><l></l></block><script><block s="doReport"><block s="reportSum"><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="vector"/></custom-block><l>1</l></block></block></script></block><block s="doReport"><block s="reportCONS"><block s="reportListIndex"><block var="result"/><block var="vector"/></block><custom-block s="flatten (ravel) $,-1-255-255-0 %l"><custom-block s="where in %l is $⍳-1.5-255-255-0 %s"><block var="result"/><block var="items"/></custom-block></custom-block></block></block></script></block-definition><block-definition s="crossproduct %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="305.3333333333333" collapsed="false">This isn&apos;t an APL function, although it&apos;s related to the outer product.&#xD;&#xD;It takes any number of lists, and reports a list of all possible tuples with one item from each of the lists.  The length of the result is the product of the lengths of the inputs.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%l"></input></inputs><script><block s="doIfElse"><block s="reportListIsEmpty"><block var="lists"/></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list></list></block></list></block></block></script><script><block s="doDeclareVariables"><list><l>small</l></list></block><block s="doSetVar"><l>small</l><custom-block s="crossproduct %mult%l"><block s="reportCDR"><block var="lists"/></block></custom-block></block><block s="doReport"><block s="reportConcatenatedLists"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportCONS"><block var="newitem"/><l/></block></autolambda><list></list></block><block var="small"/></block></autolambda><list><l>newitem</l></list></block><block s="reportListItem"><l>1</l><block var="lists"/></block></block></block></block></script></block></script></block-definition><block-definition s="%&apos;array&apos; deep contains %&apos;value&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="array"/><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doIf"><block s="reportListContainsItem"><block var="array"/><block var="value"/></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block><block s="doReport"><custom-block s="combine in rows (reduce by column vectors) %repRing $/-1-255-255-0 %l"><block s="reifyReporter"><autolambda><block s="reportOr"><l/><l/></block></autolambda><list></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="%l deep contains %s"><l/><block var="value"/></custom-block></autolambda><list></list></block><block var="array"/></block></custom-block></block></script></block-definition><block-definition s="which of %&apos;items&apos; $ϵ-1-255-255-0 contained in %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="214.66666666666666" collapsed="false">Reports an array of Booleans the same shape&#xD;as the left input, indicating which of the atoms&#xD;in the left input appear anywhere in the right&#xD;input.  &#xD;(The structure of the right input doesn&apos;t matter.)</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="items"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="which of %s $ϵ-1-255-255-0 contained in %l"><l></l><block var="array"/></custom-block></autolambda><list></list></block><block var="items"/></block></block></script><script><block s="doReport"><block s="reportListContainsItem"><custom-block s="flatten (ravel) $,-1-255-255-0 %l"><block var="array"/></custom-block><block var="items"/></block></block></script></block></script></block-definition><block-definition s="catenate %&apos;left&apos; $,-1-255-255-0 %&apos;right&apos;" type="reporter" category="lists"><comment x="0" y="0" w="190.66666666666666" collapsed="false">Like append, but:&#xD;&#xD;A scalar input is treated as an array the same shape as the other input except that the last item of the shape is 1.&#xD;&#xD;If the two inputs are of different ranks,&#xD;the function is mapped over the larger ranked input.&#xD;&#xD;Catenate adds new columns, by appending to each row.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="left"/><l><option>list</option></l></block></block><script><block s="doIfElse"><block s="reportGreaterThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="right"/></custom-block><l>1</l></block><script><block s="doSetVar"><l>left</l><custom-block s="reshape as %l $⍴-1-255-255-0 items of %l"><block s="reportConcatenatedLists"><list><custom-block s="drop %n $↓-1-255-255-0 from %l"><l>-1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="right"/></custom-block></custom-block><block s="reportNewList"><list><l>1</l></list></block></list></block><block s="reportNewList"><list><block var="left"/></list></block></custom-block></block></script><script><block s="doSetVar"><l>left</l><block s="reportNewList"><list><block var="left"/></list></block></block></script></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="right"/><l><option>list</option></l></block></block><script><block s="doIfElse"><block s="reportGreaterThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><l>1</l></block><script><block s="doSetVar"><l>right</l><custom-block s="reshape as %l $⍴-1-255-255-0 items of %l"><block s="reportConcatenatedLists"><list><custom-block s="drop %n $↓-1-255-255-0 from %l"><l>-1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="left"/></custom-block></custom-block><block s="reportNewList"><list><l>1</l></list></block></list></block><block s="reportNewList"><list><block var="right"/></list></block></custom-block></block></script><script><block s="doSetVar"><l>right</l><block s="reportNewList"><list><block var="right"/></list></block></block></script></block></script></block><block s="doIf"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="right"/></custom-block></block><script><block s="doIfElse"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><l>1</l></block><script><block s="doReport"><block s="reportConcatenatedLists"><list><block var="left"/><block var="right"/></list></block></block></script><script><block s="doReport"><custom-block s="multimap %repRing %mult%l"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><l></l><l></l></custom-block></autolambda><list></list></block><list><block var="left"/><block var="right"/></list></custom-block></block></script></block></script></block><block s="doIfElse"><block s="reportLessThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="right"/></custom-block></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><block var="left"/><l></l></custom-block></autolambda><list></list></block><block var="right"/></block></block></script><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><l></l><block var="right"/></custom-block></autolambda><list></list></block><block var="left"/></block></block></script></block></script></block-definition><block-definition s="scalar value %&apos;value&apos;" type="reporter" category="lists"><comment x="0" y="0" w="221.33333333333334" collapsed="false">If the input is a nesting of length=1 lists, which&#xD;APL treats as a scalar (the innermost item)&#xD;for many purposes, report that innermost scalar.&#xD;Otherwise, report the input as is.&#xD;&#xD;Exposing this block for users is important because Snap! /does not/ treat such a nesting&#xD;as a scalar, so you might need to use this in&#xD;translating an APL program to Snap!.&#xD;(But the functions in the APL library already use&#xD;this block as needed.)</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block s="reportIfElse"><custom-block s="scalar? %s"><block var="value"/></custom-block><custom-block s="scalar-value helper %s"><block var="value"/></custom-block><block var="value"/></block></block></script></block-definition><block-definition s="grade up $⍋-1.5-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="190.66666666666666" collapsed="false">Reports a vector of indices of the items of the input, in order of the values of the items, so that&#xD;&#xD;item (grade up (foo)) of (foo)&#xD;&#xD;reports the items in sorted order, smallest to largest.  For a matrix, sorts the rows based on their first items, or if those are equal, based on their second items, etc.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l><option>last</option></l><l/></block></autolambda><list></list></block><custom-block s="sort %l ordering with %predRing"><custom-block s="multimap %repRing %mult%l"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><l></l><l></l></custom-block></autolambda><list></list></block><list><block var="array"/><custom-block s="$⍳-1.5-255-255-0 %n"><block s="reportListLength"><block var="array"/></block></custom-block></list></custom-block><block s="reifyPredicate"><autolambda><custom-block s="sort helper %l %l"><l/><l/></custom-block></autolambda><list></list></block></custom-block></block></block></script></block-definition><block-definition s="sort %&apos;data&apos; ordering with %&apos;function&apos;" type="reporter" category="other"><comment x="0" y="0" w="161.14285714285708" collapsed="false">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 &lt; as the comparison function will sort from low to high; using &gt; will sort from high to low.</comment><header></header><code></code><translations>ca:ordena _ segons criteri _&#xD;</translations><inputs><input type="%l"></input><input type="%predRing"></input></inputs><script><block s="doDeclareVariables"><list><l>even items</l><l>odd items</l><l>merge</l><l>split</l><l>copy of data</l><l>id</l></list></block><block s="doSetVar"><l>id</l><block s="reifyScript"><script><block s="doReport"><l></l></block></script><list></list></block></block><block s="doSetVar"><l>copy of data</l><block s="reportMap"><block var="id"/><block var="data"/></block></block><block s="doSetVar"><l>split</l><block s="reifyScript"><script><block s="doSetVar"><l>even items</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>odd items</l><block s="reportNewList"><list></list></block></block><block s="doUntil"><block s="reportListIsEmpty"><block var="copy of data"/></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="copy of data"/></block><block var="odd items"/></block><block s="doDeleteFromList"><l>1</l><block var="copy of data"/></block><block s="doIf"><block s="reportNot"><block s="reportListIsEmpty"><block var="copy of data"/></block></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="copy of data"/></block><block var="even items"/></block><block s="doDeleteFromList"><l>1</l><block var="copy of data"/></block></script></block></script></block></script><list></list></block></block><block s="doSetVar"><l>merge</l><block s="reifyScript"><script><block s="doIf"><block s="reportEquals"><block var="#1"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="#2"/></block></script></block><block s="doIf"><block s="reportEquals"><block var="#2"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="#1"/></block></script></block><block s="doIfElse"><block s="evaluate"><block var="function"/><list><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="reportListItem"><l>1</l><block var="#2"/></block></list></block><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="evaluate"><block var="merge"/><list><block s="reportCDR"><block var="#1"/></block><block var="#2"/></list></block></block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#2"/></block><block s="evaluate"><block var="merge"/><list><block var="#1"/><block s="reportCDR"><block var="#2"/></block></list></block></block></block></script></block></script><list><l>#1</l><l>#2</l></list></block></block><block s="doIf"><block s="reportEquals"><block var="data"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportCDR"><block var="data"/></block><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="data"/></block></script></block><block s="doRun"><block var="split"/><list></list></block><block s="doReport"><block s="evaluate"><block var="merge"/><list><custom-block s="sort %l ordering with %predRing"><block var="odd items"/><block var="function"/></custom-block><custom-block s="sort %l ordering with %predRing"><block var="even items"/><block var="function"/></custom-block></list></block></block></script></block-definition><block-definition s="sort helper %&apos;rowA&apos; %&apos;rowB&apos;" type="reporter" category="other"><comment x="0" y="0" w="166" collapsed="false">Compares two vectors for sorting.&#xD;Compare first items; if those are equal compare second items; etc.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="rowA"/></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block><block s="doIf"><block s="reportListIsEmpty"><block var="rowB"/></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doIf"><block s="reportLessThan"><block s="reportListItem"><l>1</l><block var="rowA"/></block><block s="reportListItem"><l>1</l><block var="rowB"/></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block><block s="doIf"><block s="reportGreaterThan"><block s="reportListItem"><l>1</l><block var="rowA"/></block><block s="reportListItem"><l>1</l><block var="rowB"/></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doReport"><custom-block s="sort helper %l %l"><block s="reportCDR"><block var="rowA"/></block><block s="reportCDR"><block var="rowB"/></block></custom-block></block></script></block-definition><block-definition s="grade down $⍒-1.5-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="190.66666666666666" collapsed="false">Reports a vector of indices of the items of the input, in order of the values of the items, so that&#xD;&#xD;item (grade down (foo)) of (foo)&#xD;&#xD;reports the items in sorted order, largest to smallest.  For a matrix, sorts the rows based on their first items, or if those are equal, based on their second items, etc.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l><option>last</option></l><l/></block></autolambda><list></list></block><custom-block s="sort %l ordering with %predRing"><custom-block s="multimap %repRing %mult%l"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><l></l><l></l></custom-block></autolambda><list></list></block><list><block var="array"/><custom-block s="$⍳-1.5-255-255-0 %n"><block s="reportListLength"><block var="array"/></block></custom-block></list></custom-block><block s="reifyPredicate"><autolambda><custom-block s="NOT $&#126;-1-255-255-0 %s"><custom-block s="sort helper %l %l"><l/><l/></custom-block></custom-block></autolambda><list></list></block></custom-block></block></block></script></block-definition><block-definition s="select rows (compress columns) %&apos;Booleans&apos; $/-1-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="210.66666666666666" collapsed="false">The left input must be a vector of Booleans&#xD;(either Snap! form or APL form); the right input must be an array whose first dimension is equal to the length of the left input.  The block reports an array of the same rank as the right input, containing only those items (rows, for a matrix) for which the corresponding Boolean is True (or 1).</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="rowize vector %l"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><custom-block s="truth %s"><block s="reportListItem"><l>1</l><l/></block></custom-block></autolambda><list></list></block><custom-block s="multimap %repRing %mult%l"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><l></l><l></l></custom-block></autolambda><list></list></block><list><block var="Booleans"/><block var="array"/></list></custom-block></block></block></custom-block></block></script></block-definition><block-definition s="rowize vector %&apos;vec&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportAnd"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="vec"/></custom-block><l>2</l></block><block s="reportEquals"><block s="reportListItem"><l>2</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="vec"/></custom-block></block><l>1</l></block></block><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><block var="vec"/></block><block var="vec"/></block></block></script></block-definition><block-definition s="select columns (compress rows) %&apos;bool&apos; $⌿-1.5-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="219.33333333333334" collapsed="false">The left input must be a vector of Booleans&#xD;(either Snap! form or APL form); the right input must be an array whose last dimension is equal to the length of the left input.  The block reports an array of the same rank as the right input, containing only those items (columns, for a matrix) for which the corresponding Boolean is True (or 1).</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="columnwise %repRing %l"><block s="reifyReporter"><autolambda><custom-block s="select rows (compress columns) %l $/-1-255-255-0 %l"><block var="bool"/><l/></custom-block></autolambda><list></list></block><block var="array"/></custom-block></block></script></block-definition><block-definition s="columnwise %&apos;function&apos; %&apos;data&apos;" type="reporter" category="control"><comment x="0" y="0" w="212" collapsed="false">Turns a row-wise (in Lisp terminology) function&#xD;into a column-wise one.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="rowize vector %l"><custom-block s="transpose $⍉-1.5-255-255-0 %l"><block s="evaluate"><block var="function"/><list><custom-block s="transpose $⍉-1.5-255-255-0 %l"><block var="data"/></custom-block></list></block></custom-block></custom-block></block></script></block-definition><block-definition s="reverse column order (row contents) $⏀-1-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="206" collapsed="false">Reverses the order of the columns of the input, which is a reflection through a vertical axis, as the ⏀ symbol suggests.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="columnwise %repRing %l"><block s="reifyReporter"><autolambda><custom-block s="reverse row order (column contents) $⦵-1.5-255-255-0 %l"><l/></custom-block></autolambda><list></list></block><block var="array"/></custom-block></block></script></block-definition><block-definition s="combine in columns (reduce by row vectors) %&apos;function&apos; $⌿-1.5-255-255-0 %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="285.3333333333333" collapsed="false">This function has two names because there are two ways&#xD;to understand it.&#xD;&#xD;Lisp way:  A matrix is a list of rows.  This block turns it into a list of columns, and combines the numbers in each column, producing one value for the entire column.&#xD;&#xD;APL way:  A matrix is made of vectors.  This block takes each row as a vector, and does vector arithmetic on the rows, producing one row as the result.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="columnwise %repRing %l"><block s="reifyReporter"><autolambda><custom-block s="combine in rows (reduce by column vectors) %repRing $/-1-255-255-0 %l"><block var="function"/><l/></custom-block></autolambda><list></list></block><block var="array"/></custom-block></block></script></block-definition><block-definition s="catenate vertically %&apos;left&apos; $⍪-1.5-255-255-0 %&apos;right&apos;" type="reporter" category="lists"><comment x="0" y="0" w="190.66666666666666" collapsed="false">Like append, but:&#xD;&#xD;A scalar input is treated as a vector&#xD;of length 1.&#xD;&#xD;If the two inputs are of different ranks,&#xD;the function is mapped over the larger ranked input.&#xD;&#xD;Catenate vertically adds new rows, by appending to each column.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="left"/><l><option>list</option></l></block></block><script><block s="doIfElse"><block s="reportGreaterThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="right"/></custom-block><l>1</l></block><script><block s="doSetVar"><l>left</l><custom-block s="reshape as %l $⍴-1-255-255-0 items of %l"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><l>1</l></list></block><custom-block s="drop %n $↓-1-255-255-0 from %l"><l>1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="right"/></custom-block></custom-block></list></block><block s="reportNewList"><list><block var="left"/></list></block></custom-block></block></script><script><block s="doSetVar"><l>left</l><block s="reportNewList"><list><block var="left"/></list></block></block></script></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="right"/><l><option>list</option></l></block></block><script><block s="doIfElse"><block s="reportGreaterThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><l>1</l></block><script><block s="doSetVar"><l>right</l><custom-block s="reshape as %l $⍴-1-255-255-0 items of %l"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><l>1</l></list></block><custom-block s="drop %n $↓-1-255-255-0 from %l"><l>1</l><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="left"/></custom-block></custom-block></list></block><block s="reportNewList"><list><block var="right"/></list></block></custom-block></block></script><script><block s="doSetVar"><l>right</l><block s="reportNewList"><list><block var="right"/></list></block></block></script></block></script></block><block s="doIf"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="right"/></custom-block></block><script><block s="doIfElse"><block s="reportEquals"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><l>1</l></block><script><block s="doReport"><block s="reportConcatenatedLists"><list><block var="left"/><block var="right"/></list></block></block></script><script><block s="doReport"><custom-block s="transpose $⍉-1.5-255-255-0 %l"><custom-block s="catenate %s $,-1-255-255-0 %s"><custom-block s="transpose $⍉-1.5-255-255-0 %l"><block var="left"/></custom-block><custom-block s="transpose $⍉-1.5-255-255-0 %l"><block var="right"/></custom-block></custom-block></custom-block></block></script></block></script></block><block s="doIfElse"><block s="reportLessThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="left"/></custom-block><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="right"/></custom-block></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><block var="left"/><l></l></custom-block></autolambda><list></list></block><block var="right"/></block></block></script><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="catenate %s $,-1-255-255-0 %s"><l></l><block var="right"/></custom-block></autolambda><list></list></block><block var="left"/></block></block></script></block></script><scripts><script x="254" y="497.7777777777774"><custom-block s="multimap %repRing %mult%l"><block s="reifyReporter"><script></script><list></list></block><list><l/><l/></list></custom-block></script></scripts></block-definition><block-definition s="%&apos;a&apos; scalar join %&apos;b&apos;" type="reporter" category="operators"><comment x="0" y="0" w="219.33333333333334" collapsed="false">A hyperblock version of JOIN.  The regular JOIN isn&apos;t hyperized because it can accept a list as input, representing it as text.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><custom-block s="scalar -&gt; hyper %repRing"><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l></l></list></block></autolambda><list></list></block></custom-block><list><block var="a"/><block var="b"/></list></block></block></script></block-definition><block-definition s="take %&apos;howmany&apos; $↑-1-255-255-0 from %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="272" collapsed="false">A positive left input selects the first n items of the right input.&#xD;A negative left input selects the last abs(n) items&#xD;of the right input.&#xD;&#xD;If the right input is a matrix, a numeric left input selects rows;&#xD;the left input may also be a two-item vector, in which case&#xD;the first number is applied to the rows&#xD;and the second number is applied to the columns.&#xD;Similarly for higher-dimension arrays. </comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="howmany"/><l><option>number</option></l></block><script><block s="doReport"><block s="reportIfElse"><block s="reportLessThan"><block var="howmany"/><l>0</l></block><block s="reportListItem"><block s="reportSum"><custom-block s="$⍳-1.5-255-255-0 %n"><block s="reportMonadic"><l><option>abs</option></l><block var="howmany"/></block></custom-block><block s="reportSum"><block s="reportListLength"><block var="array"/></block><block var="howmany"/></block></block><block var="array"/></block><block s="reportListItem"><custom-block s="$⍳-1.5-255-255-0 %n"><block var="howmany"/></custom-block><block var="array"/></block></block></block></script></block><block s="doIf"><block s="reportGreaterThan"><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="howmany"/></custom-block><l>1</l></block><script><custom-block s="error %txt"><l>Left input to take can&apos;t be a matrix.</l></custom-block></script></block><block s="doIf"><block s="reportGreaterThan"><block s="reportListLength"><block var="howmany"/></block><custom-block s="rank of $⍴⍴-1-255-255-0 %l"><block var="array"/></custom-block></block><script><custom-block s="error %txt"><l>Length of item vector &gt; rank of array in take.</l></custom-block></script></block><block s="doReport"><block s="reportListItem"><custom-block s="reverse row order (column contents) $⦵-1.5-255-255-0 %l"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportLessThan"><block var="value"/><l>0</l></block><block s="reportSum"><custom-block s="$⍳-1.5-255-255-0 %n"><block s="reportMonadic"><l><option>abs</option></l><block var="value"/></block></custom-block><block s="reportSum"><block s="reportListItem"><block var="index"/><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="array"/></custom-block></block><block var="value"/></block></block><custom-block s="$⍳-1.5-255-255-0 %n"><block var="value"/></custom-block></block></autolambda><list><l>value</l><l>index</l></list></block><block var="howmany"/></block></custom-block><block var="array"/></block></block></script></block-definition><block-definition s="drop %&apos;howmany&apos; $↓-1-255-255-0 from %&apos;array&apos;" type="reporter" category="lists"><comment x="0" y="0" w="306" collapsed="false">A positive left input selects all but the first n items of the right input.&#xD;A negative left input selects all but the last abs(n) items&#xD;of the right input.&#xD;&#xD;If the right input is a matrix, a numeric left input selects rows;&#xD;the left input may also be a two-item vector, in which case&#xD;the first number is applied to the rows&#xD;and the second number is applied to the columns.&#xD;Similarly for higher-dimension arrays. </comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="howmany"/><l><option>number</option></l></block><script><block s="doReport"><custom-block s="take %n $↑-1-255-255-0 from %l"><block s="reportProduct"><block s="reportMonadic"><l><option>neg</option></l><custom-block s="signum $×-1-255-255-0 %n"><block var="howmany"/></custom-block></block><block s="reportDifference"><block s="reportListLength"><block var="array"/></block><block s="reportMonadic"><l><option>abs</option></l><block var="howmany"/></block></block></block><block var="array"/></custom-block></block></script></block><block s="doReport"><custom-block s="take %n $↑-1-255-255-0 from %l"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportLessThan"><block var="value"/><l>0</l></block><block s="reportSum"><block s="reportListItem"><block var="index"/><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="array"/></custom-block></block><block var="value"/></block><block s="reportDifference"><block var="value"/><block s="reportListItem"><block var="index"/><custom-block s="shape of $⍴-1-255-255-0 %l"><block var="array"/></custom-block></block></block></block></autolambda><list><l>value</l><l>index</l></list></block><block var="howmany"/></block><block var="array"/></custom-block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="reshape helper %&apos;shape&apos; %&apos;data&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="shape"/></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportCombine"><block var="shape"/><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block></block><l>0</l></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doDeclareVariables"><list><l>partial</l></list></block><block s="doSetVar"><l>partial</l><block s="reportNewList"><list></list></block></block><block s="doIfElse"><block s="reportListIsEmpty"><block s="reportCDR"><block var="shape"/></block></block><script><block s="doRepeat"><block s="reportListItem"><l>1</l><block var="shape"/></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="data"/></block><block var="partial"/></block><block s="doSetVar"><l>data</l><block s="reportConcatenatedLists"><list><block s="reportCDR"><block var="data"/></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block></list></block></block></script></block></script><script><block s="doRepeat"><block s="reportListItem"><l>1</l><block var="shape"/></block><script><block s="doAddToList"><custom-block s="reshape helper %l %l"><block s="reportCDR"><block var="shape"/></block><block var="data"/></custom-block><block var="partial"/></block><block s="doRepeat"><block s="reportModulus"><block s="reportCombine"><block s="reportCDR"><block var="shape"/></block><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block></block><block s="reportListLength"><block var="data"/></block></block><script><block s="doSetVar"><l>data</l><block s="reportConcatenatedLists"><list><block s="reportCDR"><block var="data"/></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block></list></block></block></script></block></script></block></script></block><block s="doReport"><block var="partial"/></block></script></block-definition><block-definition s="deep map %&apos;function&apos; %&apos;atom?&apos; %&apos;data&apos;" type="reporter" category="other"><comment x="0" y="0" w="320.6666666666667" collapsed="false">Applies the function to each &quot;atom&quot; of the data.  What&apos;s an atom?&#xD;Something for which the predicate input reports true.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%predRing"></input><input type="%l"></input></inputs><script><block s="doIf"><custom-block s="truth %s"><block s="evaluate"><block var="atom?"/><list><block var="data"/></list></block></custom-block><script><block s="doReport"><block s="evaluate"><block var="function"/><list><block var="data"/></list></block></block></script></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="deep map %repRing %predRing %l"><block var="function"/><block var="atom?"/><l/></custom-block></autolambda><list></list></block><block var="data"/></block></block></script></block-definition><block-definition s="nth item 1 %&apos;n&apos; %&apos;data&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportEquals"><block var="n"/><l>0</l></block><script><block s="doReport"><block var="data"/></block></script></block><block s="doReport"><custom-block s="nth item 1 %n %l"><block s="reportDifference"><block var="n"/><l>1</l></block><block s="reportListItem"><l>1</l><block var="data"/></block></custom-block></block></script></block-definition><block-definition s="costumes" type="command" category="other"><variables><list struct="atomic" id="4526">costumes</list></variables><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>costumes</l><block s="reportGet"><l><option>costumes</option></l></block></block><block s="doShowVar"><l>costumes</l></block><block s="bubble"><block var="costumes"/></block><block s="doForever"><script><block s="doAsk"><l>Choose a costume # for me to change into or "exit" to exit</l></block><block s="doIfElse"><block s="reportOr"><block s="reportGreaterThan"><block s="getLastAnswer"></block><block s="reportListLength"><block var="costumes"/></block></block><block s="reportLessThan"><block s="getLastAnswer"></block><l>1</l></block></block><script><block s="doSayFor"><l>That is not a costume #</l><l>1</l></block></script><script><block s="doIfElse"><block s="reportEquals"><block s="getLastAnswer"></block><l>exit</l></block><script><block s="doHideVar"><l>costumes</l></block><block s="doStopThis"><l><option>this block</option></l></block></script><script><block s="doSwitchToCostume"><block s="getLastAnswer"></block></block></script></block></script></block></script></block></script><scripts><script x="385" y="97.16666666666657"><block s="doSwitchToCostume"><block s="getLastAnswer"></block></block></script></scripts></block-definition></blocks><variables><variable name="score"><l>10</l></variable></variables></project><media name="unit 2 lab 1" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>