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 code 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add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value.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,-2,0,190,8174471900