Translate the passage below as literally as possible, accounting for every word in your translation. Aeneid, Book 2, lines 289-293 Heu fuge, nāte deā, tēque hīs” ait “ēripe flammīs. Hostis habet mūrōs; ruit altō ā culmine Troia.    Sat patriae Priamōque datum: sī Pergama dextrā    dēfendī possent, etiam hāc dēfēnsa fuissent.    Sacra suōsque tibī commendat Troia penātēs;   

Upload a Python source file (.py) that defines a function named affordable. This function will take as parameters a list of dictionaries and a float representing our spending budget, in dollars. This list contains dictionaries that each hold information about an ebay auction. The function will then return a single dictionary that will contain the information for the items which price is below our budget limit. We will, however, format this information differently: the key will be the name of the item and its corresponding value will be its price. See the examples below. Let us start by putting the following code in your global scope: auctions = As you can see, the dictionaries in our list contain both the name of the items being listed (a string value corresponding to the key ‘name’ in that item’s dictionary) and the price of the item (a string value corresponding to the key ‘price’ in that item’s dictionary). We want our function to return a dictionary in which the keys are the names of the items (we’ll have to avoid adding the items which name is already used as a key in the dictionary) and the values are their respective price, as a float. Please note that only the items that we can afford will make it to this dictionary. We can afford an item if its price is below the budget that we set as 2nd parameter. With the example above, calling our function on the auctions variable would return a dictionary structured as follows: >>> affordable(auctions, 300.0){   ‘Raspberry PI 400’ : 50.45 ,   ‘Lenovo T480’ : 200.59 ,   ‘Clockworks DevTerm’ : 259.95 } Here is another example: >>> affordable(auctions, 51.0){   ‘Raspberry PI 400’ : 50.45 } If we call our function with a negative budget or with an empty list of auctions, our function will return an empty list: >>> affordable(auctions, -300.0){}>>> affordable( , 300.0){} Here is an example where we have two items with the same name in our list of auctions. The function should add the first one but not the second one since its name is already used as a key in the resulting dictionary: auctions = >>> affordable(auctions, 300.0){   ‘Raspberry PI 400’ : 50.45 ,   ‘Lenovo T480’ : 200.59 ,   ‘Clockworks DevTerm’ : 259.95 } Notice how the “Raspberry PI 400′ has been added only once to the resulting dictionary. The auction that was added is the first one that appeared in the list parameter. You are free to add more code to the global scope of your file in order to call your function to test it. This extra code will not be graded but will help you ensure that your function performs as expected. Grading Rubric: The function creates an empty dictionary named result to start off with (1 point) The function correctly iterates over all the dictionaries of the list given as parameter  (1 point) The function correctly detects items that are affordable (1 point) The function correctly adds these items to the result dictionary (1 point) The function correctly avoids adding the items which name has already been previously added in the dictionary (duplicates in the list parameter) (1 point) The function correctly returns an empty dictionary if no item is affordable (1 point) The function correctly returns an empty dictionary if it is given an empty list of dictionaries (1 point) The function correctly returns an empty dictionary if it is given a negative budget amount (1 point)

Iamque adeō super ūnus eram, cum līmina Vestaeservantem et tacitam sēcrētā in sēde latentem    Tyndarida aspiciō; dant clāram incendia lūcem    errantī passimque oculōs per cūncta ferentī.    Illa sibi infēstōs ēversa ob Pergama Teucrōs    et Danaum poenam et dēsertī coniugis īrās    praemetuēns, Troiae et patriae commūnis Erīnys, abdiderat sēsē atque ārīs invīsa sedēbat.    Exarsēre ignēs animō; subit īra cadentem    ulciscī patriam et scelerātās sūmere poenās.       What is the source of the ‘claram lucem’ in line 3?

Iamque adeō super ūnus eram, cum līmina Vestaeservantem et tacitam sēcrētā in sēde latentem    Tyndarida aspiciō; dant clāram incendia lūcem    errantī passimque oculōs per cūncta ferentī.    Illa sibi infēstōs ēversa ob Pergama Teucrōs    et Danaum poenam et dēsertī coniugis īrās    praemetuēns, Troiae et patriae commūnis Erīnys, abdiderat sēsē atque ārīs invīsa sedēbat.    Exarsēre ignēs animō; subit īra cadentem    ulciscī patriam et scelerātās sūmere poenās.       The Romans revered Vesta as a goddess of:

Iamque adeō super ūnus eram, cum līmina Vestaeservantem et tacitam sēcrētā in sēde latentem    Tyndarida aspiciō; dant clāram incendia lūcem    errantī passimque oculōs per cūncta ferentī.    Illa sibi infēstōs ēversa ob Pergama Teucrōs    et Danaum poenam et dēsertī coniugis īrās    praemetuēns, Troiae et patriae commūnis Erīnys, abdiderat sēsē atque ārīs invīsa sedēbat.    Exarsēre ignēs animō; subit īra cadentem    ulciscī patriam et scelerātās sūmere poenās.       What is the speaker considering doing in the final line of this passage?

Has the percentage of people not willing to get a COVID-19 vaccination changed in the past few years?

Use this set-up for Problems 11-12:    Consider the images above.An experiment consists of the spinner being spun twice. The probabilities associated to each outcome of the overall experiment (not of each individual spin) are identical to the probabilities of the outcomes of which experiment described below?

Use this set-up for Problems 9-10: A 5-number summary for a set of data is 10, 23, 32, 39, 46. Which of the following statements is TRUE?

The data below are the final exam scores of 10 randomly selected chemistry students and the number of hours they slept the night before the exam. What is the best predicted value for y given x = 5? ( You must find the line of regression first. )  Round to the nearest whole number. Chemistry Final Exam Scores Hours, x 3 5 2 8 2 4 4 5 6 3 Scores, y 65 80 60 88 66 78 85 90 90 71  

You wish to test the claim that H1: p ≠ .345 and are given sample statistics n = 1675 x = 536 Compute the P -value. Round to 4 decimal places.