data:image/png;base64,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lists11110i1contcatchtagcontcatchtagSpriteSpriteHello!12Draw a grid on the stage. This is an extra block, NOT on the reference sheet.0X-240Y-24014000Arrowforwardleft
right
forward
backwardleftbackward10can move?0,0,0,1Takes a text string as input, and reports a new text string containing all but the first character of the input.resulti2Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)Takes a text string as input, and reports a new text string containing all but the last letter of the input.resulti1Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)11111Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the first word, with no spaces before or after it.Takes a text string as input, and reports the last character in the string.Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the last word of the input, with no spaces before or after it.11Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.row-1^0>90V180-90mazestring10$_ghostcolor=$_color
saturation=$_saturation
brightness=$_brightness
ghost=$_ghost
fisheye=$_fisheye
whirl=$_whirl
pixelate=$_pixelate
mosaic=$_mosaic
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OAFDODBt8gGCZQtoHoCUxUwgKfaWXURIECAwKAFDOBBt8fmCBAoW0D1UxYwgKfcXbURIECAwGAFZvOtncu5oq7SdoT8eXoQ9hH8+ef4DMRnLyJH7sgZuSPiOkdE7ogcuSNn5I6I6xwRuSNOyt3le5E7osscp63tJ+DB/tnIxggQIEBgygKz3YO9K7miqtN+hPx5ehD2Efz55/gMxGcvIkfuyBm5I+I6R0TuiBy5I2fkjojrHBG5I3LkjpyROyKuc8XJPwEnXwQIECBAgEAXAgZwF6rWJECAAAECpwgYwMcDeYcAAQIECHQmYAB3RmthAgQIECBwvIABfLxN2e+ongABAgQ6FTCAO+W1OAECBAgQOFrAAD7axatlC6ieAAECnQsYwJ0TS0CAAAECBO4XMIDvN/EKgbIFVE+AQC8CBnAvzJIQIECAAIHPCxjAn/fwOwIEyhZQPYHeBAzg3qglIkCAAAECvxcwgH9v4YoAAQJlC6i+VwEDuFduyQi0J7A4u/On7a1mJQIE+hYwgPsWl49ACwKvPrrzfF2nNw3hFjAtQeB3syqqwQAAEABJREFUAr3/0wDunVxCAs0EFlsXvltV6cUqpXMXr+/9tNlqniZAIJeAAZxLXl4CGwgszl547VZdP/HAJze3Lx7svbfBEh4hQGAgAoMawAMxsQ0CgxN4+ctPfmG+df4ndV0/cunG3hPf/s3+rwe3SRsiQGAtAQN4LS43E+hf4PtffeoPHzrz6TspVb/YPdh7LvkiQGASAgbwYNpoIwTuF3j10Sf/5Oat5fCt0g+Xw/el++/wCgECYxUwgMfaOfuevMDyr5yfqapby5986xd3r7/1vckXrEAChQkYwIU1fKjl2tfnBeZnz38npeqVup6d2z1460fJFwECkxMwgCfXUgWNXWC+tfNyqtM306zavnTj6rtjr8f+CRA4WsAAPtrFqwR6FPh9quXwfSOl+rGPPz1zbvdX1/7h9++4IkBgagIG8NQ6qp5RCvzVl7a/8uqjO29XVfXB8q+cn37p/asfjrIQmyZAYGUBA3hlKjcS6EZgsbXz+MMPPrBfVWn/4vVrL3STZbir2hmBUgUM4FI7r+6hCHytTumduk6v7B7sXRnKpuyDAIHuBQzg7o1lIHCMQPXHqUrfWP7k++ylG3s/OOYmL09aQHElCxjAJXdf7dkEFlsXvptS/fU6Va87UCFbGyQmkFVgNt/auZwr6iptR8ifpwdhH8G/X//l8P0/t1L685SqX6ZUP8a/X/+73vHZj7j7+75/jdwRfee9my9yR9z9fd+/Ru6IvvPezRe5I+7+PsevfgJOvgj0I1BX1UPLTM/WVf1wlerXl79+vPy9bwIEChWYxX/4kSuqOu1HyL93JYdB2EfkyB05I3dEXOeIyB3RR+4HZmfeqOpbT6WU/mb3+t6/j5yROyKuc0TkjsiRO3JG7oi4zhGROyJH7sgZuSPiOkdE7ogcuSNn5I6I6xwRuSNy5P5dzr0rfgJe/hvRN4EuBRyo0KWutQmMV8AAHm/v7HwEAvOt8w5UGEGfbJFADoGSB3AObzkLEnCgQkHNViqBDQQM4A3QPELgNIG5AxVOI/I+geIFDOBSPwLq7kxgOXwdqNCZroUJTEfAAJ5OL1WSWcCBCpkbID2BkQkYwCNrmO22ItD6Ios7ByrMquptByq0zmtBApMUMIAn2VZF9SmwOLvzp/WdAxUuHlz7yz5zy0WAwHgFDODx9s7OByDw6qM7z9d1enNUByoMwM0WCBBIyQD2KSCwocBi68J3l4P3xSqlcw5U2BDRYwQKFjCAC26+0jcXWJy98Nqtun7io09ubl882Htv85U82bOAdAQGI2AAD6YVNjIGgZe//OQX5lvnf1LX9SOXbuw98Re/2f/1GPZtjwQIDE/AAB5eT+xooALf/+pTf/jQmU/fSan6xe7B3nPJF4GxCdjvoAQM4EG1w2aGKuBAhaF2xr4IjFfAAB5v7+y8J4HlXzk7UKEna2kIdCgwuKUN4MG1xIaGJDA/e/47KVWv1PXs3O7BWz9KvggQINCSgAHcEqRlpicwd6DC9JqqIgIDEuh1AA+oblshcKLAcvg6UOFEIW8SINBUwABuKuj5SQncPVChrqoPln/l/PRL71/9cFIFKoYAgcEIGMC9tUKioQssDh2ocOn6tReGvl/7I0Bg3AIG8Lj7Z/ctCSwcqNCSpGUIEFhVwABeVcp9jQSG/LADFYbcHXsjMF0BA3i6vVXZCgJ1lbYdqJB8ESCQQcAAzoAu5TAEqlT9WaqrP+j+QIVh1GsXBAgMS8AAHlY/7KYHgc8OVKjqh6tUv+5AhR7QpSBA4D4BA/g+Ei9MWeDwgQqpTj+ecq1Dqc0+CBA4WsAAPtrFqxMUcKDCBJuqJAIjFjCAR9w8W19dYL513oEKq3O5szUBCxE4XsAAPt7GOxMRmDtQYSKdVAaBaQnM5ls7l3NF/L+ARMifpwdhHzFt/wv/O6XqxZTSj6vq1hOHa43aIw6/1ud15I7oM+fhXJE74vBrfV5H7og+cx7OFbkjDr/W53Xkjugz5+FckTvi8GttX5+0XuSOOOmeLt+L3BFd5jhtbT8BL//N7HuiAlX6Rkr1F+tUvb6s8LfL8E2AAIHBCMx2D/au5IqqTvsR8ufpQdhHTM3/o09u/re6TtvLwfu3y9r+7aXr1/7z8tf7PudRe8RR7/XxWuSO6CPXUTkid8RR7/XxWuSO6CPXUTkid8RR7/XxWuSO6CPXUTkid8RR7/XxWuSO6CPXUTkid8RR77Xz2un/XvcTcPI1JYGFAxWm1E61EJi0gAE86faWVdzCgQplNVy1BEYuMOUBPPLW2P46Ag5UWEfLvQQIDEHAAB5CF+yhkUD8l4YOVGhE6GECBDIIGMAZ0HtJWUiSxdkLr8V/cPXRJze3Lx7svVdI2cokQGACAgbwBJpYYgmfHahQ149curH3hAMVSvwUqJnAuAUM4HH3r8jdHz5QYfdg77kjELxEgACBwQsYwINvkQ0eFnCgwmEN1wQIjFnAAB5z9wrb+9yBCqt13F0ECIxCwAAeRZtscu5ABR8CAgQmJmAAT6yhUyxnvrXzcqrTN9Os2r504+q7U6xRTa0JWIjAaAQM4NG0qsyNLofvGynVj3386Zlzu7+69g9lKqiaAIEpChjAU+zqBGr6qy9tf+XVR3ferqvqg92Dt55+6f2rH06gLCUQ6FbA6qMSMIBH1a4yNrtwoEIZjVYlgcIFDODCPwBDK3/hQIWhtcR+CIxFYHT7NIBH17Lpbnj5V87P13V6s6rSs5du7P1gupWqjAABAikZwD4FgxCYb+1cXg7eF6uUzl28vvfTQWzKJggQINChQKsDuMN9WnrCAgsHKky4u0ojQOA4AQP4OBmvdy5QV9VDyyTP1g5UWDL4JkCgNAEDuLWOW2gdgThQoUr1t1KqfrvrQIXkiwCB8gQM4PJ6nr3iuwcqVHX6vynVV7NvyAYIECCQQcAAzoA+xZSr1jTfOv9MVd16Zzl4X6xT+vmqz7mPAAECUxMwgKfW0QHXM3egwoC7Y2sECPQtYAD3LV5ovvmkD1QotKnKJkCgkYAB3IjPw6sILIevAxVWgXIPAQJFCRjARbW732IdqNCvd65s8hIgsJmAAbyZm6dOEVg4UOEUIW8TIFC6gAFc+iegg/oXDlToQNWSwxSwKwKbCxjAm9t58ggBByocgeIlAgQIHCEwm2/tXM4VdZW2I+TP04Owj2jL/9WzO29XVfovdVX9sK7Tfzxt3Vr/ff6Xn4HTPiddve/z1/zfv016U7p/2PkJ+Ig/lXhpfYEqVX+W6uoPlk++XtX1jeWvvgkQIEDgBIHZ7sHelVxR1Wk/Qv48PQj7iCb+H386+68p1X9cp/qXlw6u/evlWi8tY6XPVOSOWPX+tu+L3BFtr7vqepE7YtX7274vcke0ve6q60XuiFXvb/u+yB3R9rqrrhe5I1a9v+37IndE2+uuul7kjlj1/rbvi9wRm6/b/N/bfgJOvjYViAMVHjrz6TspVb9YfoifS74IECBAYGUBA3hlKjceFrh7oEKq0g+Xw/elw++5JkCAAIHTBcY8gE+vzh2dCMwPHaiwe/2t73WSxKIECBCYuIABPPEGt13e3IEKbZNajwCBQgUM4LE2PsO+53cOVHhgdubcpRtX382wBSkJECAwGQEDeDKt7LaQ5fD97ECFb//qZ//YbTarEyBAYPoCBvD0e9yowoEeqNCoJg8TIEBgCAIG8BC6MNA9LByoMNDO2BYBAlMQMICn0MUOalg4UKED1ZaWtAwBApMQMIAn0cZ2i3CgQrueViNAgMBRAgbwUSoFvzbf2rlcVenFKqVzF6/v/bRgCqUPU8CuCExGwACeTCubF7I4e+G1uk7bH31yc/viwd57zVe0AgECBAgcJ2AAHydT0Osvf/nJL8y3zv+krutHLt3Ye+IvfrP/64LKVyqB8QjY6aQEDOBJtXOjYr7oQIWN3DxEgACBRgIGcCO+sT9c/as6pW85UCH5IkBg+AKT26EBPLmWrlbQ8q+cn0mp/vOqqn7mQIXVzNxFgACBNgUM4DY1R7LW/M6BCilVf53q+u+TLwIECBDoXWCtAdz77iRsXWB+6ECF5U/A/7/1BBYkQIAAgZUEDOCVmKZx03L4OlBhGq1UBQECExAwgFdu4nhvdKDCeHtn5wQITFfAAJ5ub29XtnCgwm0H/yBAgMDQBAzgoXWkxf0sWjxQocVtWYoAAQIElgIG8BJhit8OVJhiV9VEgMCUBAzgKXXzTi1zByrckWjrF+sQIECgfQEDuH3TrCsuHKiQ1V9yAgQIrCpgAK8qNfD7HKgw8AaNeHu2ToBANwIGcDeuva46/+qFf+NAhV7JJSNAgEBjAQO4MWHeBV599Mk/SbfqfQcq5O2D7FMVUBeB7gQM4O5sO195vnX+maq69U5K9YsOVOicWwICBAi0KjCL/2I2V9RV2o6Qf+fyugaLrZ3/Vafqv6c4UCFVj637fNwf9hFxnSMid0SO3JEzckfEdY6I3BE5ckfOyB0R1zkickfkyB05I3dEXOeIyB2RI3fkjNwRcX1cdPl65I7oMsdJa0fuiJPu6fo9PwGnMX5VTy4/OH80uz18awcqjLGF9kyAQPECs92DvSu5oqrTfoT8q/cgpfS1lG799uObs69dPLi228Qu7COarNHk2cgd0WSNJs9G7ogmazR5NnJHNFmjybORO6LJGk2ejdwRTdZo8mzkjmiyRpNnI3dEkzWaPBu5I5qs0eTZyB3RZI0mz0buiOPXWP3fy5uuMVv+C933CAQcqDCCJtkiAQIE1hAwgNfAynXr8n/vffzhBx/Yn1XV25euX3sh1z7kJUCAAIH2BIY8gNurcsQrLRyoMOLu2ToBAgSOFzCAj7fJ/o4DFbK3wAYIECDQmYAB3Blts4XnDlRoBuhpAgQIDFzAAB5ggxYOVBhgV2yJAAEC7QoYwO16NlrNgQqf8bkgQIDA5AUM4IG02IEKA2mEbRAgQKAnAQO4J+iT0jhQ4SSdAt9TMgECRQgYwLnbXFX/zoEKuZsgPwECBPoXMID7N/8sY5XS1+u6fqquZ+d2D9760WdvuCBQroDKCRQjYABnavV8a+flukq3D1S4dOPqu5m2IS0BAgQIZBIwgDPAL4fvGynVj9Wper1O9T9l2IKUBAgMUcCeihIwgHts970HKlR1/XGP6aUiQIAAgQEJGMA9NcOBCj1BS0OAwFgFitu3AdxDyxcOVOhBWQoCBAiMS8AA7rhfDlToGNjyBAgQGKnA5wbwSGsY7LbnDlQYbG9sjAABArkFDOCOOrBwoEJHspYlQIDANAQM4M/62M6FAxXacbQKAQIEpi5gALfYYQcqtIhpKQIECExcwABuqcFjP1ChJQbLECBAgMCKAgbwilAn3TbfOv+MAxVOEvIeAQIECNwrYADfK7Lm7+dnz38npeoVByqkEX/ZOgECBPoXMIAbmM+3dl5OdfrmA7Mz5xyo0ADSowQIEChQwADesOnL4Xv7QIWPPz1z7tu/+lIo2ywAAAoHSURBVNk/briMxwhkF7ABAgTyCBjAa7rfe6DCS+9f/XDNJdxOgAABAgSSAbzGh2CxtfP4ww8+sD+rqrcvXb/2whqPupUAgUEK2BSBfAIG8Ir2CwcqrCjlNgIECBBYRWC2/N8yL+eKukrbEcPPf+Endap+vAT9m6pKW23tN2qPaGu9ddeJ3BHrPtfW/ZE7oq311l0nckes+1xb90fuiLbWW3edyB2x7nNt3R+5I9pab911InfEus+1dX/kjmhrvXXXidwR6z7X1v2RO6Kt9dZdJ3JHrPtcm/f7CXg5VU/6jgalVH+9Tun1lNIvl+GbAAECBAg0FpjtHuxdyRVVnfYjhpq/qqpH062UPvrk5h/F/+bb9j6j9oi21111vcgdser9bd8XuSPaXnfV9SJ3xKr3t31f5I5oe91V14vcEave3/Z9kTui7XVXXS9yR6x6f9v3Re6Ittdddb3IHbHq/W3fF7kj2l531fWqOu/8iX36CTjd/+VAhftNvEKAAAEC7QoYwPd4OlDhHhC/JUCAAIFOBHIO4E4KarKoAxWa6HmWAAECBNYRMIDvaM0dqHBHwi8ECBAg0IeAAbxUnuc4UGGZ1zcBAgQIlCtgAKfqSQcqlPt/AConQIBALoGyB3CVvpFS/UUHKvT+8ZOQAAECxQsUOYA/O1Chrj5afgLedKDCUsE3AQIECPQqUNwAXhw6UKFK9f/sVVsyAiEgCBAgsBQoagAvHKiwbLlvAgQIEBiCQDED+NVHd56v6/RmVaVnL93Y+8EQ8O2BQIECSiZA4I5AEQM4Tq9YDt4Xq5TOXby+99M7tfuFAAECBAhkE5j8AF6cvfDa8iff7Y8+ubl98WDvvWzSEhMgQIAAgUMCkx3ADlQ41GWXBAgQIDA4gUkOYAcqDO5zZkMECBAgcI/A5AawAxXu6bDfEiBAgMAgBSY1gOcOVBjkh8ymCBAgULzAEQCTGcBzByoc0V4vESBAgMBQBSYxgOdbOy87UGGoHzH7IkCAAIGjBEY/gJfD942U6sdOP1DhqPK9RoAAAQIE8giMdgB//0vbX3n10Z2366r6YPfgracdqJDnAyQrAQIECGwmMMoBvNjaefzmgw/sz6rq7UvXr72wWellPaVaAgQIEBiWwOgG8MKBCsP6BNkNAQIECGwkMKoBvPwrZwcqbNTm0h9SPwECBIYnMJoBPN/auexAheF9gOyIAAECBDYTGMUAXjhQYbPueopASgkCAQLDFBj0AHagwjA/NHZFgAABAs0FBjuAHajQvLlWIECAAIHhCgxyADtQYbgfGDsjQIAAgXYEZvEfN+WKukrbEZ/Lf/bC/6iqW++kqvrbVFePfO69rZ3Lbf4+cke0ueY6a0XuiHWeafPeyB3R5prrrBW5I9Z5ps17I3dEm2uus1bkjljnmTbvjdwRba65zlqRO2KdZ9q8N3JHtLnmOmtF7oh1nln33pPuj9wRJ93T5XuRO6LLHCetHbkjTrqn6/cG9RNwldLX67p+KqXqr1Nd/33yRYAAAQIEJiow2z3Yu5IrqjrtR0T+lNK/qFP9Lx+cnfkPuwfX/lO81nVE7oiu8xy3fuSOOO79rl+P3BFd5zlu/cgdcdz7Xb8euSO6znPc+pE74rj3u349ckd0nee49SN3xHHvd/165I7oOs9x60fuiOPe7/r1yB3RdZ7j1o/cEce93/z1k2db5I7oOs9J6w/iJ+Dlj/kOVFj+CcQ3AQIECJQjkHsAL3/qrb5VO1ChnE+cSgkQIEDgtkCXA/h2guP+EQcqLN/7VlXV/8+BCksJ3wQIECBQlECWAby4c6BCStXPU53eSb4IECBAgEBhAr0P4MMHKqRU/91kvRVGgAABAgROEOh1AM+3HKhwQi+8RYAAAQIFCfQ2gBcOVCjoY5XUSoAAAQKnCHQ+gB2ocEoHvE2AAAECRQp0OoAdqFDkZ0rRBAgQILCCQGcD2IEKK+i7hQABAgSKFehkAM+3zj9TxYEKqX5x9/pb3ytWV+EEyhNQMQECKwq0PoDnZ89/J6Xqlbqends9eOtHyRcBAgQIECBwn0CrA3i+tfNyqtM3H5idOXfpxtV378vmBQIECExZQG0E1hBobQAvh68DFdaAdysBAgQIlC3QeAB//0vbX3n10Z23HahQ9gdJ9QQIFC8AYE2BRgN4sbXz+M0HH9ifVdXbDlRYU97tBAgQIFC0wMYDeHHnQIW6Tq9cPLj2l0UrKp4AAQIEyhbYoPqNBvDyr5yfXw7eN6sqPXvpxt4PNsjrEQIECBAgULTA2gN47kCFoj8wiidAgACBdgTWGsCLQR+o0A6IVQgQIECAQB8CKw1gByr00Qo5CBAgQKAkgVMHsAMVxvFxsEsCBAgQGJfAiQPYgQrjaqbdEiBAgMB4BI4dwHMHKoyni8XvFAABAgTGJ3DkAJ47UGF8nbRjAgQIEBiVwH0DeO5AhVE10GYJECBAYJwCnxvAy+HrQIVx9tGuCRAgQGBkArcH8N0DFaqq+mD34K2nX3r/6ocjq8N2CRAoUkDRBMYrMFscOlDh4vVrL4y3FDsnQIAAAQLjEZjVVfXzlKpf1qmuln8FfbnPqKu0HdFnzsO5InfE4df6vI7cEX3mPJwrckccfq3P68gd0WfOw7kid8Th1/q8jtwRfeY8nCtyRxx+rc/ryB3RZ87DuSJ3xOHX+ryO3BFNcjZ5NnJHNFmjybORO6LJGk2ejdwRTdZo+uws1fWPU6r/LvkiQIAAAQIEehOY7R7sPbeMKzmiqtN+RI7ckTNyR8R1jojcETlyR87IHRHXOSJyR+TIHTkjd0Rc54jIHZEjd+SM3BFxnSMid0SO3JEzckfEdY6I3BE5ckfOyB0R1zkickdsnnuv0dyK3BG58kfe2/8RVvJFgAABAgQI9CpgAPfKLRkBAgQIEPidQJMB/LsV/JMAAQIECBBYW8AAXpvMAwQIECBAoLmAAbypoecIECBAgEADAQO4AZ5HCRAgQIDApgIG8KZyZT+negIECBBoKGAANwT0OAECBAgQ2ETAAN5EzTNlC6ieAAECLQgYwC0gWoIAAQIECKwrYACvK+Z+AmULqJ4AgZYEDOCWIC1DgAABAgTWETCA19FyLwECZQuonkCLAgZwi5iWIkCAAAECqwoYwKtKuY8AAQJlC6i+ZQEDuGVQyxEgQIAAgVUEDOBVlNxDgAABAmULdFC9AdwBqiUJECBAgMBpAgbwaULeJ0CAAAECHQiMaAB3UL0lCRAgQIBAJgEDOBO8tAQIECBQtoABPJL+2yYBAgQITEvAAJ5WP1VDgAABAiMRMIBH0qiyt6l6AgQITE/AAJ5eT1VEgAABAiMQMIBH0CRbLFtA9QQITFPAAJ5mX1VFgAABAgMXMIAH3iDbI1C2gOoJTFfAAJ5ub1VGgAABAgMWMIAH3BxbI0CgbAHVT1vgnwEAAP//RuHzBAAAAAZJREFUAwDOTCMs1QGdfQAAAABJRU5ErkJggg==55220,40,60,7020,40,60400234055