data:image/png;base64,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data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAC99JREFUeAHt0DEBAAAAwqD1T20MH4hAYcCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMG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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 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

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 1 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 _

pt:a última palavra de _ 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

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

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ 121

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _ pt:uma frase com as palavras em _

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 _

The secret word was 2

pygmyroblox,xylophone,pygmy,sky,wyomingp,y,g,m,y_,_,_,_,_6