data:image/png;base64,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:image/png;base64,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-125-12825050-125-200250501bounce11_shrink11_grow1moving1disappearing1reverse4LABEL 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 $arrowRight mot _
de:Zahlen von _ bis _
ca:nombres des de _ a _
es:números de _ a _
fr:nombres de _ à _
1101de:wende _ an auf _
ca:mapeja _ sobre _
es:mapear _ sobre _
fr:appliquer _ à _
123456789902Flat line endstruemoving-202.5127.5100245Generator Y175250203335667701Stage size-22Stage size22Stage size3javascriptStageChangeYStageChangeYNewgame?false2Stage size4Menu Y500-2-202.5Max Jump HeightPlayerXPlayerYYchange-2pt:executa no modo turbo _
generate a list of samples representing a sine wave at the given frequency, duration and sample ratept:as amostras de som com _ Hz de _ s amostrado a _ Hz
440
a 55=55
a 110=110
a 220=220
a 440=440
a 880=880
a 1760=1760
a 3520=3520144100
22.05 kHz=22050
44.1 kHz=44100
88.2 kHz=88200
96 kHz=96000pt:π
pt:_ radianos em graus
0.5pt:o som _
§_soundsMenurecords an audio snippet and reports it as a new sound, or zero if the user cancelspt:$circleSolid-1-255-0-0 uma nova gravação
pt:a nota com _ Hz
440pt:a frequência da nota _
69pt:o nome da nota _
69Take 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]].11111Reports a new list containing the items of the input list, but in the opposite order.1inputresultReports 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.copy of datasplitmerge11#1#2The 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.11This block applies the given function to each item of the given list, like the primitive MAP block, but with two differences:
1. The # variable provided will contain the item number of the item currently being used in the given function: 1 for item 1, and so on. You read the variable in your function; don't set it.
2. You can provide more than one input list. If so, the lengths of all the lists should be the same, and the function you supply must expect as many inputs as you have lists (i.e., that many empty input slots in the function).#11datacountmapmany##1#1data listscountThis block makes a new list containing selected items from the given list, like the primitive KEEP block.
What's different is that it provides the # variable for use in your predicate function. It will contain the item number (in the original list) of the item being examined by the predicate.#1datacount1This block carries out the given script for each item of the given list, like the primitive FOR EACH.
What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.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
}distance112233index1125500pt:o valor da configuração _
Project notes
Project name
User
Presentation mode
Language
Zoom blocks
Stage size
Stage scale
Retina display support
Long form input dialog
Plain prototype labels
Input sliders
Execute on slider change
Clicking sound
Turbo mode
Flat design
Keyboard editing
Visible stepping
Thread safe scripts
Prefer smooth animations
Flat line ends
Codification support
Inheritance support
Visible palettept:altera o valor da configuração _ para _
Presentation mode
Retina display support
Long form input dialog
Plain prototype labels
Input sliders
Execute on slider change
Clicking sound
Turbo mode
Flat design
Keyboard editing
Visible stepping
Thread safe scripts
Prefer smooth animations
Flat line ends
Codification support
Inheritance supportpt:altera o valor da configuração _ para _
Project notes
Project name
Language
Zoom blocks
Stage size
Stage scale
Visible paletteFlat line endstrue0245Ychange-1PlayerY-5047579100-2053341050-205-12741050-205-32841032-165-60Highscore:40-165-110Name:40.124.65-51907242.6554.1242.65-519072BoxX16Crayon#1BoxX-200BoxY-30-30-202.5405-405-202.5-10025-120120Flat line endstrue-30-202.5Sets the costume to save frames215,1,0,1025904#CharacterOption3-11015-110610-110-202.5-177202.5311-4051-4051-4050-177202.53114051405140540500-110405-110-202.5-177202.5310-177202.5314.5202.5-2105xx-162item20,0,0,10232522.135833463161514.0678412810basic,-172.1012821247736,170,100basic,-200.2258696264484,264,100basic,-42.25299017279744,350,100basic,-133.02042797448087,428,100basic,-94.77416008787229,517,100basic,79.85359056255942,612,100basic,-47.21392042964342,690,100basic,-154.09774849986167,775,100basic,68.59250411918356,860,100basic,-19.878831825858043,960,100701262.04443369870613503081048658false26.13583346316147521moving-202.5127.5100245Generator Y17525020333566770503,4,5,6,7,8,915042358FPS: 210disappearing,-80.8762573544219,29805,75,hidingfalsefalse109569Morganfalse2798,Saif,764624,Brit,764588,Brit,7616481,Brit,765420,Brit,762111,Brit,762263,Brit,542176,Brit,8716203,Brit,8714806,Brit,8731137,Brittan,782634,Brittan,871892,Brittan,871290,Brittan,872095,bob the builder,545210,bob the builder,549637,bob the builder,5414341,Brit,5424478,Brit,5421251,Brit,5414697,Brit,542648,Brit,5442358,Brit,5414073,Brit,696379,Brit,6931726,Brit,69true2000405-58103