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Dx6ovv92xDZ0dnXu1oPg19NFPNIlXmhEaex8A+z9fm2cBhVW8AG/jDaQy3JwA2hqf8Ct+jAPgKP5zG8NLUF0A6s+2nk0e475a+39FxCr/GaOoBbe5Tf8f/02jrbs2W77jX5D9V6Bw5fRy3cnM4Uqbvi+OHjuaXRN8f12/bhD/M/d0vXiKNpKPvrlQc8d9s064fuFCDgq9nWUxiLJ+VR/bZ6hW8/01BFQVdBYUFcLC1558tW/3lExXjj1+TjpqgvugPv/gEX33yBSbMex27125R/QoFbanXM7jC/DFTXwDpJuonI8z+w3yM9hvBwQLtBdM5HlQx4mjrwAMp6VAZKgIgW7pyGZa8u5hP0HRx6sSnaJJRNYyRoSE8XT0Qm5wAvebNuSKGjKat0pEMJaWlOB5yko+D/fb79fj4nUXYdXgfj/qg5nXaS6beEzIqZqDy/X49+iA7J5v3ggl+UxNTPibicdsVtJf3hqmCpqS0BB/MWcDTWam5nXpV7hfm80BLsj2HD3DVTt69u3yAIkXZFIyN8RuJi7FRXMBAARYFT/XNVfW+KEBbtWkd3pgwhRv3NTU1cC8/Hx07OGDU4IdFFPVGwFCgpauri9t3cnje4YHjh/Dx/A9wOjyYC0E+ef9D/nU6DpeuR7rQvER6Fj8e2ofXho9VXS/4fAjozGaaIkuZhEF9fbHnyMGGASBNQ6U0DD2smtpa1NRUczcbpWTokJl3Z8xRHfjy5uJ3MGHoaNVUgyljJqoAXPT2e7gcF4OQyDAuLKgfUETC04BKWsmobMrSzBzFpaV8ncC92/iAms27t8LfZ7DqXBAqJqBkIEXMNKJjxIAh/BqeVjIVuGc7r4DGRkYY1MeXE+u0Ei2cPR+hF8L4tM/6A7TpABt6+JNHTcDBnw9zYQUVUtAIkbKKMhw7e5IT4TSdgTR43HYf2sdv0F4eXrCysOQmLSrmmDhsLHq4P3wj1ltCSiLPs/ngsyV8rSZaWsjJvYNpYyfyJAmq3KHBnGT0BqK+Gvt2tpw5WDBzHjd4zZ36puqA8Pp5O8fPnuJDeWi88Y6f9qo3gE8o9hL+gwYRUQnWyzJasW7l3ILHozbRl+X3JfoRAF+i2OLqlwoIgEKFogoIgIrKL84FQGFAUQUEQEXlF+cCoDCgqAICoKLyi3MBUBhQVAEBUFH5xbkAKAwoqoAAqKj84lwAFAYUVUAAVFR+cS4ACgOKKiAAKiq/OBcAhQFFFRAAFZVfnAuAwoCiCgiAisovzgVAYUBRBQRAReUX5wKgMKCoAgKgovKLcwFQGFBUAQFQUfnFOQO4X3QQBRRSYOe/AByJRAUNY/2oAAAAAElFTkSuQmCCdata: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.

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..

232124252627283234353637384142434546474851525354565758616263646567687172737475767881828384858687

add code to report a new LIST that is the same as the argument, except all negative numbers have been replaced by their absolute value.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

02030405060708

add code to report a new LIST that contains only the even numbers from the argument list..

#2220.5#3320.5#4420.5#5520.5#6620.5#7720.5#8820.5

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,-2,0,190,844744.590,-2,0,190,833.52.545-1095489,67,5,90,2,0,190,8