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hVfnbOADIDUhVgAKXKz84ZQGZAqgIMoFT52fl/AcW2VQKl2GhuAAAAAElFTkSuQmCCdata: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 _