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data:image/png;base64,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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.

false

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

true

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add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value.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,-2,0,190,8