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

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

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add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value.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

89,67,5,90,-2,0,190,889,67,5,90,-2,0,190,819089,67,5,90,2,0,190,890,-2,0,190,8