Jogo Clone do "Resgate das Ovelhas" do site Agile Fingers. Exercício realizado no Curso de Longa Duração em Cultura Digital do CCBJ. 2022.
by Prof. Gaburadata:image/png;base64,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Jogo Clone do "Resgate das Ovelhas" do site Agile Fingers. Exercício realizado no Curso de Longa Duração em Cultura Digital do CCBJ. 2022.
by Prof. Gaburade:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
pt:lança _ _
catchtagThis is a breakpoint block, to be used in debugging.
The Boolean input specifies the condition under which
the program should pause. (Use True for an unconditional breakpoint.) The intent is that the script should have
SHOW VARIABLE blocks for the process's local variables.
After the pause, this block automatically hides all temporary variables.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
pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0
This block does nothing.
Use it when you are calling a reporter
for its side effect and don't care about
its return value.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 _ _
ca:en cascada _ vegades _ _ _
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 _ _
ca:en cascada fins _ _ _ _
Returns the function x↦f(g(x)) where f and g are the two inputs.pt:a composição de _ com _
ca:composa _ _
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
ca:repeteix _ fins _
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
ca:repeteix _ mentre _
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
ca:repeteix _ _ _
The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger. This version allows you to provide an explicit step value. If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.pt:para _ de _ com passo _ a _ _ $loop-0.7
ca:per _ = _ incrementant _ fins _ _
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 _
ca:fes que _ sigui _ al _ _
new valueThe inputs are a starting value and one or more monadic functions.
The first function is called with the starting value as its input.
The second function is called with the value reported by the first function as its input, and so on. PIPE reports the value reported by the last function. PIPE provides an alternative notation for function composition instead of the usual nesting.
nested acronym:
report (combine (keep items (capital-letter? ( )) from
(map (letter (1) of ( )) over
(sentence→list (phrase)))) using (join ( ) ( )))
piped acronym:
report (pipe (phrase) →
(sentence→list ( ))
(map (letter (1) of ( )) over ( ))
(keep items (capital-letter? ( )) from ( ))
(combine ( ) using (join ( ) ( )))
Some people find PIPE easier to read because the functions are called in the same order in which you read them, whereas in nested composition the innermost function is called first. pt:a aplicação a _ de _
ca:canalitza _ $arrowRight _
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GAME 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