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

add code here to report the sum of all the numbers in the list.

add to report true if the list contains at least one negative number, and false if all numbers are non-negative.

add code to report true if each value in the list is greater than or equal to the one before it..

add code to report the largest number in the list..

add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value. .

add code to report a new LIST that contains only the even numbers from the argument list..

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 _

90,-2,0,190,878