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: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 strreturn str.slice(1);

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

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 strreturn str.slice(0,-1);

All but last 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

arrreturn new List(arr.asArray().slice(0,-1));

All but last of empty sentence.

1 11 1

pt:a primeira palavra de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ 0

pt:a última palavra de _

Last of empty sentence.

1 1

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 0

Takes 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

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 _ firstbffirst1

1bf

Takes 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 word

de: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 it

de: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.

pt:lança o erro _

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation).

(

)

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 _

displayednext

displayed

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