data:image/png;base64,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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..

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add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value.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

2,4,6,8