data:image/png;base64,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Accepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then waits for them all to complete.
This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.pt:executa _ em paralelo e espera
ca:executa en paral·lel _ i espera
each scripttestAccepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then continues with the current script while they all run.
This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.pt:executa _ em paralelo
ca:executa en paral·lel _
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
es:todos menos la primera letra de _
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
es:todas menos la primera palabra de _
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
es:todos menos la última letra de _
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
es:todos menos la última palabra de _
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 _
es:primera palabra de _
Takes a text string as input, and reports the last character in the string.pt:o último caractere de _
ca:primera lletra de _
es:última letra 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 _
es:última palabra 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? _
es:¿palabra vacía? _
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? _
es:¿oración vacía? _
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 _
es:oración _
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 _
es:imprimible _
()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.es:requerir no vacío _ _
Takes a text string as input, and reports the first character in the string.pt:a primeira palavra de _
ca:primera lletra de _
es:primera letra de _
data:image/png;base64,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Brian,Carissa,Evangelina,Quincy,Ali,3,iiii81,243,54,9523,576,234,4532,78Gojo,Naruto,Bakugo