data:image/png;base64,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data:image/png;base64,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a number random to 1 and 300.Enter a number random to 1 and 300.That was like 100 tries.2You Lose2Takes 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 resulti2
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 0
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 resulti1
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 01 1 11 1
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 _
Takes a text string as input, and reports the last character in the string.
pt:o último caractere de _ 0
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 last word of the input, with no spaces before or after it.
pt:a última palavra de _ index01 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 index10
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 _ 1121
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).
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