data:image/png;base64,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:image/png;base64,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000enemyYStart150cityPositions-150-150-105-150-55-15055-150100-150150-150basePositions-210-1400-140210-140cloneRefpyramidCloneRefsbaseCloneRefpositioncloneRefmissile basecityStatustrue16validCities16cityPositions-160-150-105-150-55-15055-150105-150160-150cityCloneRefcity16levelDictmyMissileColourbluebluebluebluegreengreenpurplemyMissileTipwhitewhitewhitewhiteredredredtheirMissileColourredredgreengreenredredyellowtheirMissileTipwhitewhiteredredwhitewhiteredstartMissileslevelRunningtruetheirMissileTotal0theirMissileCountmissileCount101010explosionCoordspyramidbasevalidCities16city16targetPositions13targetsLengthtargetsMid2targetPositions11targetIndexes001targetPosIndextargetPosbasePosIndex13roundTimeStartactionListtrue110cell1true010false0320.1630.1840.16error0-50item_ref0.16false37debug - - defaultdebug - - Exiting3levelRunningfalsetrue0button00baseOrder12331mouseBase1124060212-102bomberMissilesi13110.2i23i_ref0.4992Takes three inputs for red, green, and blue
values, each between 0 and 255. 0,0,0 is black; 255,255,255 is white. 255,255,0 is yellow, and so on.
The SET PEN block in this library lets you set individual red, green, or blue without changing the others, lets you provide a list of three RGB color components, and lets you provide a six-digit hexadecimal number, the form in which RGB color values are usually found online.
See Appendix A of the Snap! Reference Manual for details.pt:altera a cor da tua caneta para vermelho _ , verde _ e azul _ (0 a 255)
25500Takes three inputs for hue, saturation, and value ("brightness")
values, each between 0 and 1. 0,0,0 is black; 0,0,1 is white. 0.15,1,1 is yellow, and so on.
The SET PEN block in this library lets you set individual hue, saturation, or value without changing the others, lets you provide a list of three HSV color components, and lets you
use the very much superior HSL (hue, saturation, lightness)
color space.
See Appendix A of the Snap! Reference Manual for details.pt:altera a cor da caneta para matiz _ , saturação _ e brilho _ (0 a 1)
0.30.70.6Reports the current pen color as a list of three RGB values in the range 0-255. The PEN block in this library provides a large set of ways to examine the color.
See Appendix A in the Snap! Reference Manual for details.pt:a cor da caneta em RGB (vermelho, verde e azul; 0 a 255)
Reports the current pen color as a list of three HSV values
in the range 0-1.
See Appendix A in the Snap! Reference Manual for details.pt:a cor da caneta em HSV (matiz, saturação e brilho, 0 a 1)
This block allows you to set the pen's color, transparency (on a scale from 0=opaque to 100=invisible), or size (in pixels). The color can be set in many ways, including RGB values, HSV values, HSL values, fair HSV or HSL (based on a modified spectrum that gives each spectral color equal space and promotes brown to a color), or X11/W3C color name.
See Appendix A in the Snap! Reference Manual for details.size
color
fair hue
transparency
X11/W3C name
(3D color spaces)={
fair HSL={
fair hue
fair saturation (HSL)
fair lightness
fair HSL vector
}
fair HSV={
fair hue
fair saturation (HSV)
fair value (brightness)
fair HSV vector
}
HSL={
hue
saturation (HSL)
lightness
HSL vector
}
HSV={
hue
saturation (HSV)
value (brightness)
HSV vector
}
RGB (0-255)={
red
green
blue
RGB vector
RGB hex
}
}255100We have to do this last test to rule out the vector options, which aren't numbers; their code makes three recursive calls and we catch range issues then.sizehueHSLHSV✐ fair?falsesaturation (HSV)value (brightness)transparencyred✐ last set asRGB✐ fair?falsegreen✐ last set asRGB✐ fair?falseblue✐ last set asRGB✐ fair?falsefair huevalue100color3.6index1index-1scale1255fromto1newHSVHSL✐ fair?truefair huecolorColorcolor300index15scale15grayscale15255fromto12✐ last set ascolor✐ fair?falsesaturation (HSL)lightnessfair saturation (HSV)22✐ last set asHSV✐ fair?truefair value (brightness)33✐ last set asHSV✐ fair?truefair saturation (HSL)✐ last set asHSL2222✐ fair?truefair lightness✐ last set asHSL3333✐ fair?truefair HSL vectorfair HSV vectorHSL vectorHSV vectorRGB vectorRGB hex01566red1612green1634blue1656X11/W3C nameX11/W3C namevaluetruex11w3c44partial matches4matchhead matchesSUBSET throws here if it handles a unique match1HSVHSV100Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.pt:o texto de _ antes de _
If input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default.
If input is FALSE, comparisons will be exact.pt:altera comparações ignorando distinção minúsculas/maiúsculas para _
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
catchtagde:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
Don't ask.
Only for internal use by the SET PEN block.trueThis block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list).
If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.pt:cria as variáveis _ _
ca:crea les _ variables _
es:crear las _ variables _
de:erstellen _ var _
globalglobal
sprite
scripteach itemvar ide = this.parentThatIsA(IDE_Morph);
ide.flushBlocksCache('variables'); // b/c of inheritance
ide.refreshPalette();This block reports "true" if there is a variable with this given name (input slot) in that context.
It can be a global, sprite or script variable.
Otherwise it reports "false".pt:a variável _ existe
ca:existeix la variable _ ?
es:existe la variable _ ?
de:existiert var _ ?
Creates a bunch of global variables.
For internal use by Color library.global✐ last set as✐ fair?✐ color scale✐ HSL✐ last crayon✐ last X11✐ raw HSL✐ raw HSV✐ last set asRGB✐ fair?false✐ raw HSV0100100false1xstart1ystart20cloneIDmarkerexplodeFlagfalse1001003explosionactualEndPositionactualEndPosition0006explosion0pt:os dados JSON _ em formato de lista
pt:o valor com chave _ em _
pt:um par (chave: _ , valor: _ )
pointerdefault
context-menu
pointer
alias
all-scroll
cell
crosshair
grab
grabbing
help
not-allowed
progress
text
wait
copy
zoom-in
zoom-out31Reports 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.ca:ordena _ segons criteri _
copy of datasplitmerge11#1#2This 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.ca:_ per cada _ de _ _
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 _
returnThrow 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 _
LET (FOO) BE (5)
is equivalent to
SCRIPT VARIABLES (FOO)
SET (FOO) TO (5)pt:cria a variável de guião _ com valor _
610,5,9-140,-140,-14041position-160,-150-105,-150-55,-15055,-150100,-150150,-150alivetruetruetruetruetruetrue150blue,blue,blue,blue,green,green,purplered,red,green,green,red,red,yellowwhite,white,white,white,red,red,redwhite,white,red,red,white,white,red0falsefalse0231603797895304falsefalsefalsetruetruetruefalsetruetruetrue110 - 5 - truetruetruetruetruetrue-210,-140-160,-150-55,-1500,-140105,-150-1,1,3,-2,5,-3210,-140-105,-15055,-150160,-150631,2,3,4,5,610true