data:image/png;base64,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durationname
duration
length
number of channels
sample rate
samplessamplessoundvar base64, binaryString, len, bytes, i,
arrayBuffer, audioCtx;
if (sound.audioBuffer) {
return;
}
base64 = sound.audio.src.split(',')[1];
binaryString = window.atob(base64);
len = binaryString.length;
bytes = new Uint8Array(len);
for (i = 0; i < len; i += 1) {
bytes[i] = binaryString.charCodeAt(i);
}
arrayBuffer = bytes.buffer;
Note.prototype.setupContext();
audioCtx = Note.prototype.audioContext;
audioCtx.decodeAudioData(arrayBuffer, function(buffer) {
sound.audioBuffer = buffer;
});soundreturn !isNil(sound.audioBuffer);soundchoiceswitch (choice) {
case 'sample rate':
return sound.audioBuffer.sampleRate;
case 'duration':
return sound.audioBuffer.duration;
case 'length':
return sound.audioBuffer.length;
case 'number of channels':
return sound.audioBuffer.numberOfChannels;
default:
return sound.audioBuffer;
}play back a sound, a list of samples (single channel), or a list of lists (multiple channels) at the given sample rate.
for demo purposes this block also fast-plots the samples on the stage4410022.05 kHz=22050
44.1 kHz=44100
88.2 kHz=88200
96 kHz=96000samplesratevar audioCtx, channels, frameCount, arrayBuffer, i, source;
Note.prototype.setupContext();
audioCtx = Note.prototype.audioContext;
channels = (samples.at(1) instanceof List) ? samples.length() : 1;
frameCount = (channels === 1) ? samples.length() : samples.at(1).length();
arrayBuffer = audioCtx.createBuffer(channels, frameCount, rate);
if (!arrayBuffer.copyToChannel) {
arrayBuffer.copyToChannel = function (src, channel) {
var buffer = this.getChannelData(channel);
for (i = 0; i < src.length; i += 1) {
buffer[i] = src[i];
}
}
}
if (channels === 1) {
arrayBuffer.copyToChannel(Float32Array.from(samples.asArray()), 0, 0);
} else {
for (i = 0; i < channels; i += 1) {
arrayBuffer.copyToChannel(Float32Array.from(samples.at(i + 1).asArray()), i, 0);
}
}
source = audioCtx.createBufferSource();
source.buffer = arrayBuffer;
source.connect(audioCtx.destination);
source.start();
source.pause = source.stop;
this.parentThatIsA(StageMorph).activeSounds.push(source);generate a list of samples representing a sine wave at the given frequency, duration and sample rate440a 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=960000.51quickly 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.1offset-2records an audio snippet and reports it as a new sound, or zero if the user cancelsca:volum del so
es:volumen del sonido
return typeof meter != 'undefined'return Math.floor(meter.volume * 100);xx
y
z1yawyaw
pitch
roll1xx
y
z111testtestvar leapScript,
done = false;
leapScript = document.createElement('script'),
leapScript.onload = function () {
done = true;
console.log('leap is ready');
};
document.head.appendChild(leapScript);
leapScript.src = 'https://js.leapmotion.com/leap-0.6.4.min.js';
return function () {return done; }window.controller = new Leap.Controller({enableGestures: true, background: true}); window.controller.connect();LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.de:drucke _ in Größe _
ca:etiqueta _ de mida _
es:etiqueta _ de tamaño _
fr:étiquette _ d'une taille de _
Hello!12de:ist _ leer?
ca:_ buida?
es:_ vacía?
fr:_ vide?
de:behalte Elemente, die _ aus _
ca:manté els elements on _ de _
es:mantener los elementos donde _ de _
fr:garder les items tels que _ de _
1de:kombiniere mit _ die Elemente von _
ca:combina amb _ els elements de _
es:combinar con _ los elementos de _
fr:combine avec _ les items de _
1de:wenn _ dann _ sonst _
ca:si _ llavors _ si no _
es:si _ entonces _ sino _
fr:si _ alors _ sinon _
de:für _ = _ bis _ _
ca:per _ = _ fins _ _
es:para _ = _ hasta _ _
fr:pour _ allant de _ à _ _
110ide:füge Wörter zusammen _
ca:uneix les paraules _
es:unir las palabras _
fr:fusionne les mots _
121de:Liste $arrowRight Satz _
ca:llista $arrowRight frase _
es:lista $arrowRight frase _
fr:liste $arrowRight phrase _
de:Satz $arrowRight Liste _
ca:frase $arrowRight llista _
es:frase $arrowRight lista _
fr:phrase $arrowRight liste _
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
catchtagde:für jedes _ von _ _
ca:per cada _ de _ _
es:para cada _ de _ _
fr:pour chaque _ de _ _
de:falls _ dann _ und pause $pause-1-255-220-0
ca:si _ fes _ i atura-ho tot $pause-1-255-220-0
es:si _ haz _ y páralo todo $pause-1-255-220-0
fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0
de:Wort $arrowRight Liste _
ca:paraula $arrowRight llista _
es:palabra $arrowRight lista _
fr:mot $arrowRight liste _
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
de:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
de:Zahlen von _ bis _
ca:nombres des de _ a _
es:números de _ a _
fr:nombres de _ à _
1101de:wende _ an auf _
ca:mapeja _ sobre _
es:mapear _ sobre _
fr:appliquer _ à _
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1010050