data:image/png;base64,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Takes a text string as input, and reports a new text string containing all but the first character of the input.pt:_ sem o primeiro caractere
ca:_ sense la primera lletra
All but first of empty word.Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE➞LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)pt:_ sem a primeira palavra
ca:_ sense la primera paraula
All but first of empty sentence.Takes a text string as input, and reports a new text string containing all but the last letter of the input.pt:_ sem o último caractere
ca:_ sense la darrera lletra
All but first of empty word.Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)pt:_ sem a última palavra
ca:_ sense la darrera paraula
All but last of empty sentence.Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the first word, with no spaces before or after it.pt:a primeira palavra de _
ca:primera paraula de _
Takes a text string as input, and reports the last character in the string.pt:o último caractere de _
ca:primera lletra de _
0Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the last word of the input, with no spaces before or after it.pt:a última palavra de _
ca:darrera paraula de _
Last of empty sentence.Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.pt:a palavra _ está vazia
ca:paraula buida? _
0Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.pt:a frase _ está vazia
ca:frase buida? _
Like JOIN, takes any number of words (text strings) and reports a sentence with its inputs concatenated, but inserts a blank space between the inputs.
Consider using SENTENCE (Lists palette) instead.de:füge Wörter zusammen _
ca:uneix les paraules _
es:unir las palabras _
fr:fusionne les mots _
pt:uma frase com as palavras _
firstbffirst111bfTakes a sentence in list form and reports the sentence as a text string.de:Liste $arrowRight Satz _
ca:llista $arrowRight frase _
es:lista $arrowRight frase _
fr:liste $arrowRight phrase _
pt:uma frase com as palavras em _
Takes a sentence in text string form and reports the sentence as a list of its words.de:Satz $arrowRight Liste _
ca:frase $arrowRight llista _
es:frase $arrowRight lista _
fr:phrase $arrowRight liste _
pt:uma lista com as palavras da frase _
report a list in which each item is one letter from the input wordde:Wort $arrowRight Liste _
ca:paraula $arrowRight llista _
es:palabra $arrowRight lista _
fr:mot $arrowRight liste _
pt:uma lista com os caracteres da palavra _
join all the items of the input list
into a single word, and report itde:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
pt:uma palavra com os caracteres em _
SENTENCE is the main constructor for sentences, represented
as lists of words. It takes zero or more inputs, each of which can
be either a list or a text string. If a list, the input is assumed to be
a list of words. If a text string, it is converted to a list of words using
SENTENCE→LIST. Then all the lists of words are appended to form a new list of words.
If the inputs are lists of lists rather than lists of words, SENTENCE,
like APPEND, does only one level of flattening, reporting a list of
all the items of all the input lists.ca:frase _
pt:lança o erro _
Takes a (possibly deep) list as input,
and reports a human-readable text form
of the list (namely, Lisp notation).ca:notació textual de _
()Helper function for word/sentence library.
Reports its first input, unless that input is empty, in which case it gives its second input as an error message.Takes a text string as input, and reports the first character in the string.pt:a primeira palavra de _
ca:primera lletra de _
de: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 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IAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==i131. Rock, 2. Paper, 3. Scissors123i13111213222321333132y0x032p1p1p201