Part three of my Adventure game using the Stretch block. This is just for fun but also to support a suggestion to the Scratch Team to give us a Stretch effect. It would be fun for beginners to use, tinker with, and add to scripts to do new things. This third program is a little more of a challenge than part two. Good Luck. Chest picture is in the public domain and is at https://pxhere.com/en/photo/1111685 This is partly based on Colossal Caves. Music: URL: http://freemusicarchive.org/music/frievents_Orchestra/Pirate_Pop/Pirate_Pop_-_08_-_FriEvents_Orchestra_-_Brave_Pirates Comments: http://freemusicarchive.org/ Curator: Oddio Overplay Copyright: Attribution-Noncommercial-Share Alike 3.0 United States: http://creativecommons.org/licenses/by-nc-sa/3.0/us/ 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 three of my Adventure game using the Stretch block. This is just for fun but also to support a suggestion to the Scratch Team to give us a Stretch effect. It would be fun for beginners to use, tinker with, and add to scripts to do new things. This third program is a little more of a challenge than part two. Good Luck. Chest picture is in the public domain and is at https://pxhere.com/en/photo/1111685 This is partly based on Colossal Caves. Music: URL: http://freemusicarchive.org/music/frievents_Orchestra/Pirate_Pop/Pirate_Pop_-_08_-_FriEvents_Orchestra_-_Brave_Pirates Comments: http://freemusicarchive.org/ Curator: Oddio Overplay Copyright: Attribution-Noncommercial-Share Alike 3.0 United States: http://creativecommons.org/licenses/by-nc-sa/3.0/us/

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ cont

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ pt:lança _ catchtag

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ cont

de: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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