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.

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

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

trueadd 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add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value.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 resulti2Takes 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 resulti1Takes 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 1Takes 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 only the first word, with no spaces before or after it.

pt:a primeira palavra de _ Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ 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 only the last word of the input, with no spaces before or after it.

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 _ 67,90,2,0,190,855.875190