data:image/png;base64,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data:image/png;base64,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:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
pt:lança _ _
catchtagde: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
pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
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.pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _
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.pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _
Returns the function f(g(x)) where f and g are the two inputs.pt:a composição de _ com _
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.pt:repete _ até que _ $loop-0.7
Run the script repeatedly, as long as the given condition is true. Runs the script at least once before testing the condition.pt:repete _ enquanto _ $loop-0.7
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.pt:enquanto _ , repete _ $loop-0.7
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
REPEAT (200)
MOVE (#) STEPS
RIGHT 92
with the pen down.pt:repete _ vezes _ _ $loop-0.7
pt:para _ de _ com passo _ a _ _ $loop-0.7
1110Provides LOOP as a function of one input that runs
the body of the LET with A set to the function input,
so the body can run itself recursively.
See COPY block in Variables for an example of use.pt:tendo _ o valor inicial _ , executa _ definido como _
new valuept:se _ , então _ _
testpt:captura _ _
contpt:lança _
catchtagpt:senão, se _ , então _
pt:senão, _
grays={
0 black #000000=0
1 gray7 #121212=1
2 gray14 #242424=2
3 gray21 #363636=3
4 gray28 #484848=4
5 gray36 #5c5c5c=5
6 gray43 #6d6d6d=6
7 gray50 #7f7f7f=7
8 gray57 #919191=8
9 gray64 #a3a3a3=9
10 gray71 #b5b5b5=10
11 gray78 #c8c8c8=11
12 gray85 #dadada=12
13 gray92 #ececec=13
14 white #ffffff=14
}
pinks={
15 deep pink #ff1493=15
16 hot pink #ff69b4=16
17 bright pink #ff007f=17
18 raspberry #e30b5d=18
19 amaranth #e52b50=19
}
reds={
20 red #ff0000=20
21 burgundy #900020=21
22 cherry #990000=22
23 dark candy apple red #a40000=23
24 sanguine #c00000=24
25 maroon #800000=25
26 crimson #c90016=26
27 Lists #d94d11=27
28 candy apple red #ff0800=28
29 coquelicot #ff3800=29
}
browns={
30 saddle brown #8b4513=30
31 chocolate #7b3f00=31
32 kobicha #6b4423=32
33 sepia #704214=33
34 chestnut #954535=34
35 dark brown #654321=35
36 brown #964b00=36
37 golden brown #996515=37
38 copper #b87333=38
39 cinnamon #d2691e=39
}
oranges={
40 orange #ff7f00=40
41 Pantone orange #ff5800=41
42 pumpkin #ff7518=42
43 Variables #f3761d=43
44 Spanish orange #e86100=44
45 burnt orange #cc5500=45
46 sinopia #cb410b=46
47 ochre #cc7722=47
48 carrot #ed9121=48
49 tangerine #f28500=49
}
yellows={
50 yellow #ffff00=50
51 Control #e6a822=51
52 dark goldenrod #b8860b=52
53 goldenrod #daa520=53
54 saffron #f4c430=55
55 sandstorm #ecd540=55
56 mustard #ffdb58=56
57 gold #ffd700=57
58 egg yolk #fee33e=58
59 rubber duck #fbe108=59
}
greens={
60 lime #00ff00=60
61 apple green #8db600=61
62 Operators #62c213=62
63 forest green #228b22=63
64 green #008000=64
65 dark green #006400=65
66 dark pastel green #03c03c=66
67 emerald #50c878=67
68 mint #3eb489=68
69 Pen #00a178=69
}
cyans={
70 aqua (cyan) #00ffff=70
71 dark cyan #008b8b=71
72 cerulean #007ba7=72
73 iceberg #71a6d2=73
74 Sensing #0494dc=74
75 teal #008080=75
76 light sky blue #87cefa=76
77 deep sky blue #00bfff=77
78 dodger blue #1e90ff=78
79 azure #007fff=79
}
blues={
80 blue #0000ff=80
81 midnight blue #191970=81
82 dark powder blue #003399=82
83 cobalt #0047ab=83
84 denim #1560bd=84
85 navy blue #000080=85
86 steel blue #4682b4=86
87 Motion #4a6cd4=87
88 cornflower #6495ed=88
89 slate blue #6a5acd=89
}
violets={
90 violet #8f00ff=90
91 Looks #8f56e3=91
92 grape #6f2da8=92
93 indigo #4b0082=93
94 x11 purple #a020f0=94
95 magenta (fuchia) #ff00ff=95
96 dark orchid #9932cc=96
97 Sound #cf4ad9=97
98 purple #7f007f=98
99 dark magenta #8b008b=99
}distance112233index1125500de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _
pt:fala _ na língua _ _ com tom _ e velocidade _
Hello, World!en-USالعربية=ar
Български=bg
বাংলা=bn
Català=ca
Català - Valencià=ca-VA
Česky=cs
Deutsch=de
Dansk=dk
Ελληνικά=el
English-American=en-US
English-British=en-GB
Esperanto=eo
Español=es
Eesti=et
Euskara=eu
suomi=fi
Français=fr
Galego=gl
Hrvatski=hr
Magyar=hu
Interlingua=ia
Bahasa Indonesia=id
Italiano=it
日本語=ja
にほんご=ja-HIRA
ಕನ್ನಡ=kn
한국어=ko
Malayalam=ml
Nederlands=nl
Norsk=no
Polski=pl
Português=pt
Português do Brasil=pt-BR
Român=ro
Русский=ru
Slovenščina=si
svenska=sv
Tamil=ta
Telagu=te
Türkçe=tr
Українська=ua
简体中文=zh-CN
繁體中文=zh-TW11de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ und warte
pt:fala _ na língua _ _ com tom _ e velocidade _ , e espera
Hello, World!en-USالعربية=ar
Български=bg
বাংলা=bn
Català=ca
Català - Valencià=ca-VA
Česky=cs
Deutsch=de
Dansk=dk
Ελληνικά=el
English-American=en-US
English-British=en-GB
Esperanto=eo
Español=es
Eesti=et
Euskara=eu
suomi=fi
Français=fr
Galego=gl
Hrvatski=hr
Magyar=hu
Interlingua=ia
Bahasa Indonesia=id
Italiano=it
日本語=ja
にほんご=ja-HIRA
ಕನ್ನಡ=kn
한국어=ko
Malayalam=ml
Nederlands=nl
Norsk=no
Polski=pl
Português=pt
Português do Brasil=pt-BR
Român=ro
Русский=ru
Slovenščina=si
svenska=sv
Tamil=ta
Telagu=te
Türkçe=tr
Українська=ua
简体中文=zh-CN
繁體中文=zh-TW11pt:executa no modo turbo _
generate a list of samples representing a sine wave at the given frequency, duration and sample ratept:as amostras de som com _ Hz de _ s amostrado a _ 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=96000pt:π
pt:_ radianos em graus
0.5pt:o som _
§_soundsMenuquickly 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 _
§_soundsMenu1offsetStage-2records an audio snippet and reports it as a new sound, or zero if the user cancelspt:$circleSolid-1-255-0-0 uma nova gravação
pt:a nota com _ Hz
440pt:a frequência da nota _
69pt:o nome da nota _
69