THE ORIGINS: For the longest time, I looked at old video games and one thing they had in common was this weird compressed audio. I wanted to figure out exactly how to do it. I started with sample-wise compression, and that didn't provide the results I wanted. Then I did bit-wise compression, which was close, but not what I wanted. I then wondered what would happen if I reversed certain chunks of audio, and surprisingly, it produced the effect! Note,this isn't really compression, but it does feel like it. If you're wondering, compression means crunching something to save space, which isn't happening here, for the most part. HOW IT WORKS: You select a compression rate (the higher the number, the more compression). You then record a piece of audio. To make the project go faster, the audio is compressed sample-wise by half. So 44100 Hz audio will be 22050 Hz. The samples are then chunked (meaning they are just grouped into smaller lists) depending on the compression rate. The chunks are then reversed. I had to make sure that the chunk lists were reversed, not the order of the chunks. Otherwise, this will produce reversed audio. The chunks are then flattened to produce the final sound.data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAHOlJREFUeF7t3QeQPEXZBvAmZyQJkiQpSJYooIIgSZQkSBAwWwKWiICoIEgSFVGiCKhkJYoERUkqGEgCggRBJQcl5xy++r319dX8l92d2XDc7t101dXd7XSa7qff8LzdvZO9/vrrr6c61SMwRiMwWQ3AMRr5utkYgRqANRDGdARqAI7p8NeN1wCsMTCmI1ADcEyHv268BmCNgTEdgRqAYzr8deM1AGsMjOkI1AAc0+GvG68BWGNgTEegBuCYDn/d+NAD8L777kvXXHNNmn/++dOKK6440DN6/fXXp2WWWSa98sor6bbbbou/c7rzzjvTtNNOm+aee+6Bfod+d26oAfj888+no446Ki288MIBwBVWWCE9/fTTabrppotx8tykTjbZZPH/c889l6aeeur47MUXX0yvvfZaPPN/LjfVVFNFvpdffjlNP/30yV4N9Sin3pdeeinK+Dz/VteMM86YXnjhhajL7ymmmCLa9Ldy6v3a176W9tlnn/TMM8+kI488Mv7O7QKgfHPNNVf0TX3a1UZ+n35P/iDUN9QAfPLJJ9NBBx2Uvv3tb8dYXnnllemCCy5I73jHO2ICf/Ob36SVV145JnCGGWZI5513Xlp22WXTeuutlw4//PD0zne+My244IJp3nnnTb/97W/j//e+973p7LPPTo8//njabLPN0g033JD+/e9/p+WXXz7+90zdQASUDz/8cLrrrrvShhtuGO3tvvvu6Xvf+1704T//+U9Iu6233jotscQSbwDgOuusky688MK0+OKLB9BmmWWW9MADD6SHHnoobb755umcc84J4G611VbpbW972yDgpe99GFcA3GOPPdLXv/719N3vfjctuuiiMam33357SCv/zzrrrCHZSLhLL700HXjggQG+nXfeOcBECu23334BJJ9vtNFG6Ywzzkj3339/2mmnndLMM88cAJx88snTE088EVJO/cofdthhIR333nvvtO+++0Z7gASQWRp6tssuuwR4Tz755KiDFPzWt74V+S0U9Snv+cUXXxwA/vznP5/WXHPNvk/+IFQ41ABsVMH//Oc/0zTTTJPuueeekBiAYvL//ve/xwSTSPPMM09abLHF0u9///t0wAEHxBycdNJJMdFU7korrZSuuuqq9Mgjj6T3ve99Id0ABXg33XTTANlpp50WICUR77333jTffPNFPVSnOkjaNdZYI9r60Ic+NDLP6lRWv7bbbrv0y1/+Ms0000zp7rvvjvr9rT3SksTWb1JxrbXWChNjPKahBqAJKToh1CuV9u53v3vERgMOEwl8N910U/rIRz6Sll566XTrrbeGOpaASjnAoA6p3QUWWCAttdRSI59T21NOOWW69tprQwrOMcccacsttwyJevPNN6d11103vfrqq5FfPiAn0YCwmADMIuFsAKz8QF+0H/VNe5yrBx98MK266qq1Ch721QcoEpuqlwSsRaekl7rqsvWG1BoDYzwCA6WC2UhPPfVUUBMSW6iVxKJWl1xyyXTLLbdEPo5GUa02juvVV18d9iCqpp8pq1Fql9pkS2Y17P/sgLRqk+rleGROMHOFZeW6eQdmCA8e1TMoaaAAeMUVV4QDwf5iyPNoeadsJhMlZU4M5cKW40F+5StfiTxHH3102nPPPUcAzKiXLr/88nTdddcFJYNOMbmNXFvmAv3GD/otAXbm6ho5Qc9PPPHEcBjYf5J+ZppGHVtssUWU55H7XNK2Z9S5vy0cdqB8vOLvfOc7UV/mAHM+5YucJrNC2/qrHu/Lw2fL6qux8ozXzTniWaOdBsmjHjgA/utf/wqvkJ21zTbbpMsuuyzhywDS4JtQjgW6xECaMKDadtttw/AnQXB6ALnbbrvFRG6//fbxmxdLcnIAeLbqOvfccwOQnAg0CamlbTwcKubZZ59NBx98cPB6pLG6SSsOCAejEYCA/qlPfSqdddZZUc8GG2wQEhEA9IeEP/bYY9M3vvGNoHi8E56Rxy3fjTfeGNzm+eefH+1tsskm6ZJLLglna+ONN07LLbdcuuOOO6J+77rDDjvEIlXW8xNOOCEWsGR8cKXoHIsVEJH2NQBbyH8SkDryY/JQE4BloA04NYeUNak4P5NIWvidpZ06gIS3S6qY4DPPPDMkDrJ41113DfpktdVWCwCQICaGlAF+v1E21NSHP/zh9Oijj6YjjjgivF8ARu+YVPQIiqURgH/6059CygCydgEbOJQFnsceeyyiIPqMktEvXrT33X///dNee+0VhLh6qHMAZGbsuOOOEfWx4E499dRon7ZYZJFFYlwsJGOgHv33Xt4HsT3bbLMFaI0bAL7//e8fFA08WKfiigCkQj7wgQ+k//73vyF9cHMGcvXVV08LLbTQCABFC0wiqoJkZOvhA0UySD6SsAhAE09NU2fqJBFJx3e9613pj3/8Y9iTQDj77LMHAE8//fRQa6TI2muvXQpAACC5gAL48XcWFMmnPz4HLn3Uhn4fc8wxAVpEt/chQVFGQCa+bUGph2r92Mc+Fv075ZRTgovEJwKXNtnQ+rr++utH29ohxbUJkN5NnT4blDRQKriZE5KdDEChhki1zO1xQgD1oosuCu7P57gz+dh7eaBJCmrW/+rB75kUCWD97TOgoF6ZAD6Tv+hkZG4PAKg9KrjMCclc3iqrrDLJRoPsbLDjAJTU8h6ARGrql8UHoECtb6QqEFo4TJI555wzTAGgw12SbhaTscgS3eJVr4Xob1KydkIGZfkNaT/GExc5UBJwSPFQd7uHEagB2MPg1UV7H4EagL2PYV1DDyNQA7CHwauL9j4CNQB7H8O6hh5GoAZgD4NXF+19BCYUAP/85z9H2KuThIvDwfWSEOrI5Tq9cQSGEoBABEzNkmjGX/7yl46B1g4cn/zkJ3vCjnCdOsRp6zTpCAwFAMWBf/3rX4/0vB3ABPUdLBJaa0wiAZ6/2SlLvxqAQyoBxTUBR+A9p2GazBqArZf8UEhAADz++ONH7Cj7BNlm7RK7681OrSRsDcBxBEBHLn/2s5+Fmm2X2F1jkYoLJbdfA3AcAXCQJ7NRUtcALBcBQ6eCawCWT+ow5agB2MfZqiVg54M5lAB0ustu30FLNQA7n5GhAyD65dOf/nTshB6khBh31sLCaOQanfFwDoUDVadJR2BoAejADdqjm9TIIfaDoG63MFpJxm76Pt7KDB0ATUCnE5p5w3bUDKnlhF23kZIagN0tjXEJQLFiN18ho/PdgTk851glkBWlJ/X505/+NI5YeuY0HNB2knjnrWzTThdMJ+0Oe95xCUBgyNIOoJDDVdQ14AKia9M6tdna2Xk1AIeYiG5m3JdNKDA4mkiSVdkGRX0W83EWnB9u5egAqs0RDr8Ddla/zexSefWnWYRk2KVXP/o/8BKwmW3VDoCdTniz+tvVYUHwwiWgImHb2X+D6rX3Azz9qGPcAbDTCW+VvxHkQEkq2hrm3hi3LeRUA7B7KI47ALZzBpoNU3ZYGqmZIgDlyVft8pQBsJjatcmZYVNSz3V64wiMSwB6zW72C+ad1nbbULVIZb/9L7mjpZkz0y4+XZPQ7ZfdhAdgBp2t/EXP2eZXNA57z/d7fO5zn2vpSbcDYJnDNNGl4oQGICmJJ8z387Xj/7JEbeQQAaimYLpfRuMOgGwuXxRTFit2zRmHogpPeOihh8YtrMWkXN4Q0U7K1RJwgqngdpxcHorseOTDTVVAmMsWj3Zm1VsDsJaAk4xAJ4Y/QPmWI9KQh9tpCE7DNQAnGADLAEYykW6tvNZmw5XpknbebqthrgE4wQBYti0/83adxnNzORsW2HcZlDniUQOwe6C1HLvXy6z1/rfZUY3NogxlANRAVfA0dqbYXo5+uNa3nTStJWBHUzpJ5oH3gpvFZasA0FtmT1fYrDF60Thk2mEHIp39nddlMQrSCoQ1AMcxAJsZ+VUBWAQhB6PVd+66bZ6UAzZA/fKXvzzJxtQyENYArAHYdgR83659fmVJmK2VvVfcjPCTn/wkIiM5DRoA290CVmV7Wtk49fP5wKvgXiWg8mX7+4pAEnZrd3iIjdh4hmRQAJhJ+DKANC6gsvyj+XxCANBpNbHdsg0Kne6kGUsJWHwX9xfacUNKW0A2yrY625LtYovos5/9bFe8Zz8BOSEASEJVIZk73UtYBsAqUZmqk1k8LtB4ySYwoZzaAa/YjvLClcySso0WVfvXbb6hBWDxhFvx6jaORuNEVI3HjhYAe2G6snduM2wGmrsPm22K6BQEeTOGcmVcZ6d1V80/lABsvCGVCsrXtTmZ1uz21EaQNrvAUvSEVOj0zHErgHcLaP33471yvLrMNq064c3oJ1vOtFeFruq2nVblhhKAZYPQDqDKtgJpY72u1QXUZkc5i3nLANh4uWa7/hdvf9W+ttvtRSwbi6rPq9rJVeurmm9cArDqy7fKl2mMxvum8/W/VVV8loCd3jE9Fpead8Kt9jq+kyzeQQ/F6WxVG66fA9NYVz68nqVn0akpk4C92ID9eqeybwjIxw54xp2mogmkbCdSe2gkYLtBYZy7+cCLZ9tuNAnXzLeJmthFzYZqdu63WxuwUwCU5a/KD5bV0+55UcpzEKuegx4KAJat3vxdHlVtu24GOttjGeB4t+LN/YMMwHxTBOeq1ddb5DEpu6jJVjhjQOoV6aCiEEDxVKG9QrsNgwruBjBlpHOndVb5/pE8Cepmx/m/1ZVtnbbfS/4MQF94feGFF5ZW1U56MTckN0+In8tLA2QJSPplgFYxPcYtAEtHuY8ZsoQu2kImAgBJiarqqI9dmqSqDMAMiG4WZ/H4gcrtl7S4LDSLM9cNoPmzKnRWDcBRmvW8g2bQANjsgFWVIcjf9ARgaCHx5CLYigDMUrHKwqsBWGX0hzxPloDd0EGNr07dfvOb30z33ntvnKPm+LHBiyq4BuCQA6bf3c9nZIClmRNStF21XfZde3jQ2WeffeQ+xeI3WClPQlLPtQTs90wOaX1FSqrVLbEZLEwGUq4RVM2olX5sQ6tV8JCCqpNu521mGVTtLmJqFRHJYCMt0U/Ubju+r2rwoAZgJzM5pHkzIZ5VbRkA8amNERFSUSiSCi+qbPZg44VNztbYd1ir4CEFzGh0m03WjoTOYGkXNalyf3YG34QnokdjEoe5ziItNNrv0XiBZ7v2ahU82rMxQPU3blNr1TWbX9l47U4StnutTuLwNQAHCCBj3ZXiQfw3a4d0DcCxnvUBab/s7PNodbMG4GiN7BDVm78EXJc7udCpH6/YEoA33nhj2m233dKLL76YpphiijTVVFOlk046Kc0111wt233wwQfTDjvsELshPvjBD0a45jOf+UzL/OiA6aefPm2xxRaV3wVFcNRRR6Uf/OAHk5Rx+NxAYui7STvttFPab7/9knfAb/XriwXV6YLzlVZaqZtujVoZY994LXHVL/TpZ6daAvCVV15Jzz77bDr44IPTEksskTbYYIM000wzpddeey0maYYZZkizzTbbSF8YrUIw++yzT5pjjjnSLLPMEuCdZppp0tNPPx2B67nnnjvA/MILL6SHH344JtpnmXN69dVXw/hVRh1PPfVUmnzyydOMM86YHnrooajziiuuSD/60Y8CgDPPPHN6y1veEn3YaKONAkDqy4tE+SeffDLqmnbaaaOOOeecM/ryzDPPxLuoQ7rjjjvSvPPOmy6//PI4PwyA6s7P//e//0U9+v/888/Hu+nPY489FuOkXfU++uij0V+/Pd9rr73iyKQNs95Z35577rl4LlkwFuGblfK5YO3lIwZvxpmTVu9XqoJ959pSSy2VNtlkkwSUf/jDH9Kxxx6bFl988QDOAgssEHUjJM8444zIa6+Y5+wKE2VSTd7222+fVl555WDSbei87777ArTqsZsCT/XjH/84gCDv+eefHyBAgm688cbpoIMOioPU6iVluftbbrlltG+BkNLKkmazzjpr+vnPfx6A1XdSaKuttkqnnXZaAOHKK68M8OSrd8U3DznkkLTLLruku+++Oy222GKRH3gkO5+dmAMcz6+66qro+3HHHZduvvnmeAcL1WfbbLNNvOPHP/7xdNlll0UdU089dbRtgf7qV79K7qORvvSlL6XVV1991PFXvFokf9VEla8vG+2OdQRA0sSE/+53vwsA3XbbbWmPPfaIPpIm66+/fnxOUjrilwG4wgorBECA4Pvf/34civ7FL36RDj/88JCkJg+4TbLJMbkXXHBBgKkIwGOOOSY98cQT6cADDwxzoJhIQAB55JFHAqhMABJv1113ja/hAkrgNfgk6BprrPEGAJJ8999/fzriiCPecJeMvqnXQgMyfdT3BRdcMMbE+3m3bbfdNkCVTY+dd945doyQeo5WkvDe3UJdcskl06KLLjracxzzYOz9bvZ9xqPegTYN1AD8/8vHScB+AJDKPfvss0eGHABpgeWWWy594hOfCFOAxLTQABiwRxuE1G7ZHYdjBcKOAGggSR72EDtNeGeVVVbpSAJSWSaIfXbdddfFBJCAJOjJJ58capkqpapJUiqfzXjeeefFD1V2yimnRHntk2TZBixKwN133z0kNcnDjiOlSFVScbrppksvvfRS7NxdccUVo3wGoH6ceuqpYbd6nu9Y8RnVCzRswNVWWy36SaLoH9ty7bXXDsetEYBU8D333JMef/zxsFWz9M4AvPrqq6N9NmO/U75fsWporN/tl9VXCsCbbropBma++eaLuhjcF110UZp//vlHJs/nbDhgYc9MOeWUMeAmkWPB0J5nnnlGnrO97DmTlllmmZGtPwDuzAJ70QRLN9xwQzgInBFnGkgQaoxtxw5ka0psrfe85z0hbW655Za06qqrxsGZW2+9Nf6mBgGF6iRxAHHZZZcdGR8eoXwW1gMPPBD52HRsQYmJwJZVhidugUgWEWCus8464aBcc801k9h01157bYwVh01575u/3iGrYIuD+n77299eNl8dP89OR5XzGR1X3ocCpQDsQxt1FSUjQCXbKmVx9TPlr7odVOnnXWsA9nPGB6wuJgptMchflFgDcMBA00138hYoZYv30LTa/dysjbG6tLIlABn5jObM87UbmNtvvz2IWE5DMaE02G6etUp33nlnOAnsxJdffjnstqWXXrqbeahchg2Kzll44YVLy7D39K0bB4EdzOF561vfWtqODOxXTgPbsJOUdzxz6IxfTvlipbK6XMtR5QLPsnq6ed4SgIz8Sy+9NHivsrTjjjsG15YN85z/4osvDodkzTXXbFnF3nvvHc6DwUPyoioySVvWbrfPhRlNVJUQIK9W39q9Q6t+sL2QvRyBKgkDgLYh0TpJxW30ylpcxTusW9WV28k3PHRzXriTfjbLWwmAl1xySaxMDD8pR7KhRHBbaJgMQB6el8lficBDBEB2CEnCyEbUoi8kz/fff//w/nicOVqx3XbbhXeLBpHQKaSJ9lEXEk+X5yspx9NEf/DC/SZF/M3zZOQDW44T33XXXRGnZiOpQ108UZ4q7xiZTgqjfPbdd9/oC2mifRKNV55vGABMz0hv9BBJuemmmyYgF0Xi0atLVISXLA9pw2uWLHIaRFveF1ndLQBRORnsrS5czzetCjX6sdhbnRXpFVxVypcCEDWBijFAaIytt946YrjUpv/RJf53LhQFIQRmoqQjjzwyQPe3v/0tJgIVYxK+8IUvlAKQOhLS04aIi/Zxd8AOwMJswA5k6B4A0q5oDKBlNQbkqBX0kY0SAAw8gIfWuf7660eeWxy4SLHcdgA0aTjHddddN+r96Ec/GtQUDhHtJIIDAEUA4gL12Xh4DwvOWACq/vUDgLRVloC0CWophxLz5ooiAPPfIlOjdQFmGQhLAagCYSOxWBP2wx/+MKTW6aefHiEtYMCyE/teVj5SrxGAVAKbyyQjhHNqpYIRv6QUWxSXh8fDqeEaSSGTaVMEFSns9cUvfjHiuEKD+inZsIAgJlERwGwd9lgGIIkHiOxcJgeCeM8990znnHPOSP+aqWAAxBPa/KBN72wSSTfSETiPPvroCPtlFWyRrLXWWmFu0CC0h/HSlvcQI7bYelXBxQlHw+TvRmkX9616gq0MTN087xsARRQA0UQASD8BCDTsS2Bffvnlw7FpBkDgO/fcc0f4tCoAFNUQwVAnCS2OO1oA3HDDDeMLsrNjJo6MIhG/tuCAEBg7dULaHSQqnmArOiXFO6YHEoDCQ+wnkovUs+Kx9V6C1PC3ALwwmoFj49g4IK/9ehLXnnoBTM6FAbdvz0aFnEhOQX553FuSd9Www0gK0guoqVLqnZRSJwDaKgacQMMW04aJ9FwiPZkBVBFpZZEIzem/9mxQ8Nz/VKP9cKStvKQaqcpjzt+qrm3vSN0yKwCexDQO1C5pSOLQEMwAmze8k6iPECRW4atf/WqoatKPpqBJJGOgrEVjbDtNrRyIfHWd+hppmcbrNDo5y9Fp/1rlb7sfUPjJxJAS7BYOiNWb9wqa6PycdGLTsInYUBI7zuqSX15li89zp4BCHvYZNeS39oSPlPOckZ/3BqqTlOI1Aqj9dCZT3crmK8TUn/uuTwABpGxLwCGp83Nl8n5HewXzu6kj989z+fSFrdf47srpY3aUiu1nikqe/F55jPzOz/WnWL5fE91YT77xNX9O0LT6bpHR6oN62xLRVj8HxHaqskExISQJ9dG4a5rXSfo1S+iQxhvr7dXLmxyalaGy2FokmgnPCacIhGzWOg3HCLQEIEDZQMlw5vFyAEg0N2Ty3Eg8wLFZwOqVj1pCQ6BEeMQkExXpnIFdK1QMQKvP5+gHKpi6y4kNxDtDkVD71Kg2iwBm51FxpKR2JX/zijkd2i8S6IL/+mVxALfEu2diUOs2HFCT6KBB2KQ5HNDpTy9bApDXRqLhluwOwePxGoGP6qKKqLW8y4KUBBwTze6g7tSBtsHjoUcABPiAjsrE32kj8335lfCOHAPeqmcIbf2QtHfYYYeFF6n+4ucARToCLE4y5+d16ztwAhqp6YwGzg/QSU1tLrTQQiPl+jO8dS1lI9ASgCaaI4CfourQH6SebVnAJXnGaOc9AgwHgDQ0qSQN2gUwbb5Ujhon9QAECNXD9kOR5ITzIzGBkzTEMzL6M9DkQ4OQeFStOv/xj38E9ULSMfSBXd8kkhyAmRPqsAj0JfeLxEM0A6Z3FvXw3hyL7M2XDWL9vPsR6GkzAmkjypA3hXbfjbrkRB2BngA4UQetfu/+jUANwP6NZV1TFyPQFoCcB9wejzFze120ER4xo1/gnT2Zz/J2U1e7MpyWHIarUjdyW2SlSmKP2uSAnK5T/0agLQAZ+6gJjoLJYthzMPyNjGWoczDQMchd0QlnJoqTiufjhSqHUkHEZmeGd42qKZ6L/etf/xoOAyeBIyNv9mA5GzxVdajLwhCxQRTLrx1OEJtUHJlD42yvKASHwvlgtIuEM0Tn6C+KR2TEe9rJk4lszhDHxP+cIuPBSdFv+TO5DfQWlzx16mwE2gLQIXHcGYYcTWH3B8eDl8h7NOm8YJ6nwceui2TkrUa5K1kyZQmILwQgtIiIQz6ZJr9D457zVO3oACZAIDV5vjm6YtKBQ9CfN2yhADsP26k99QAKANpo0Awc+uP8sP5lXlA+Ul/SrufeC9+YAUii64ux0C5qCgsgHGcsMsg7m4qJmbstAJHM+eQYAtlEm3SxVZILF2cyJCACHPyeHR/FBAAmRQyUBMu7oAXiSR+f5eQZ4NhFbWKB1HNhN3ydbV0SGsfiUAeqxfYp7eP4bFzAL5KMgIrDbLbLmiSX0EXKAnnxDhcSFa+p76QwYlyb+gFoKCDS3oF5W71oBQu1loTVF9NAOyHNwnTVX633nFQ+jjBvL2tWowVoseRjq723OrFqGGgATqypmJhvWwNwYs77wLz1/wF6QYzUQPCCoQAAAABJRU5ErkJggg==THE ORIGINS: For the longest time, I looked at old video games and one thing they had in common was this weird compressed audio. I wanted to figure out exactly how to do it. I started with sample-wise compression, and that didn't provide the results I wanted. Then I did bit-wise compression, which was close, but not what I wanted. I then wondered what would happen if I reversed certain chunks of audio, and surprisingly, it produced the effect! Note,this isn't really compression, but it does feel like it. If you're wondering, compression means crunching something to save space, which isn't happening here, for the most part. HOW IT WORKS: You select a compression rate (the higher the number, the more compression). You then record a piece of audio. To make the project go faster, the audio is compressed sample-wise by half. So 44100 Hz audio will be 22050 Hz. The samples are then chunked (meaning they are just grouped into smaller lists) depending on the compression rate. The chunks are then reversed. I had to make sure that the chunk lists were reversed, not the order of the chunks. Otherwise, this will produce reversed audio. The chunks are then flattened to produce the final sound.

pt:executa no modo turbo _

pt:as amostras de som com _ Hz de _ s amostrado a _ Hz ca:_ Hz durant _ segons amb mostreig de _ Hz 440a 55=55 a 110=110 a 220=220 a 440=440 a 880=880 a 1760=1760 a 3520=352014410022.05 kHz=22050 44.1 kHz=44100 88.2 kHz=88200 96 kHz=96000

pt:π

pt:_ radianos em graus ca:graus de _ radiants 0.5

pt:o som _ ca:so de nom _ §_soundsMenu

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.

pt:desenha o gráfico do som _ ca:dibuixa el so _ §_soundsMenu1offset-2

records an audio snippet and reports it as a new sound, or zero if the user cancels

pt:$circleSolid-1-255-0-0 uma nova gravação ca:$circleSolid-1-255-0-0 enregistra

pt:a nota com _ Hz ca:nota de _ Hz 440

pt:a frequência da nota _ ca:freqüència (hz) de la nota _ 69

pt:o nome da nota _ ca:nom de la nota _ 69

Keeps every second item in a list.

Splits a list in chunks of any number. Any incomplete chunks will have additional items added to the list.

i101

Catch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ ca:prova de forma segura _ i si _ _

Throw an error. Makes a red halo appear around the script that runs it, with the input text shown in a speech balloon next to the script, just like any Snap! error. This is useful to put in the second script of SAFELY TRY after some other instructions to undo the partial work of the first script.

pt:lança o erro _

Catch errors in a reporter. Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error, then the final input slot is evaluated with the text of what would have been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression. Sometimes you'll want to throw an error in the final expression. You can put an ERROR block inside a CALL block to do that.

ca:prova de forma segura reportant _ i si _ reportant _ err

Outputs the 'return' key input.

what's your name?

Alert!

choose!

title

§_objectsMenuoption

leftleft righthey!

open my definition to look at examples how to use the menu blocks

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