data:image/png;base64,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
Did not create any of these, pre-made script counter0i1
411
321
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141
511
421
331
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421
331
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151
611
521
431
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521
431
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431
341
251
161
621
531
441
351
531
441
351
261
441
351
261
171
631
541
451
361
541
451
361
271
641
551
461
371
641
531
421
311
651
541
431
321
541
431
321
211
661
551
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111
671
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561
451
341
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451
341
231
121
571
461
351
241
461
351
241
131
471
361
251
141
falseCheck if player 1 wins diagonally
Pre-made script, didn't makecounter0i1
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162
622
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172
632
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642
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652
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112
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false
Self made
anythingtrue
From Onlinei1Script from online projects move madetrue42
anythingtrueSad TromboneLooks like a tie2Start Game
me and partner createdcreated1804.75145.251
From past project
Idea took from past projects
#
inout
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.
1
1
1
2
1
cont
3cont
1
1
Take any number of input lists, and create a new list containing the items of the input lists. So
APPEND [A B] [C D]
where the [,,,] are lists reports the list
[A B C D]
not [[A B] [C D]].
1
1
111Reports a new list containing the items of the input list, but in the opposite order.
1
inputresult
Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.
1Reports 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 < as the comparison function will sort from low to high; using > will sort from high to low.
1
even items
merge
11
#1#2
The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.
11
#1
1
datacount
mapmany
##1
#
1
data listscount
#1
datacount
1
samples
sound
var 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;
});
sound
return !isNil(sound.audioBuffer);
soundchoice
switch (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;
}
samplesrate
var 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 rate
return typeof meter != 'undefined'
return Math.floor(meter.volume * 100);
reports a list of all pixels in the given costume. Each pixel is represented by a 4-item sublist of RGBA values
width
height
costume
var i,
pixels = [],
src = costume.contents.getContext('2d').getImageData(
0,
0,
costume.width(),
costume.height()
);
for (i = 0; i < src.data.length; i += 4) {
pixels.push(new List([
src.data[i],
src.data[i + 1],
src.data[i + 2],
src.data[i + 3]
]));
}
return new List(pixels);
overwrite the pixels in the given costume with another list of pixels.
Caution! This operation directly changes the costume. Make sure to use a copy in case you would like to revert changes later.
1
getter
getter
getter
getter
quadratic-in
quadratic-out
quadratic-in-out
cubic-in
cubic-out
cubic-in-out
quart-in
quart-out
quart-in-out
sine-in
sine-out
sine-in-out
elastic
unknown easing function ""
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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==
50,0,0,0,0,0,0
0,0,0,0,0,0,0
0,0,0,0,0,0,0
0,0,0,0,0,0,0
0,0,0,0,0,0,0
0,0,0,0,0,0,0
1-1440,0,0,0,0,1
0,0,0,1,0,0,0
0