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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.

Average

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..

LastSeen

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add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value.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

5,10,-16,20,25,30,35,40,450