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Part (a) [3 MARKS] Consider this program: Fill in the Python Shell output after this program has executed. >>> X L = [4, 10, 8] X = L. sort L.append(20) L2 = L[1:] >>> L >>> id(L) == id(L2)

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Question 7. [11 MARKS] This question has you write the bodies of two functions. Complete each function according to its docstring. Part (a) [6 MARKS] Note: you will most likely not need all of the space on this page. def count_letter_case (L): "" (list of list of str) -> list of tuple of int Precondition: each str in L is non-empty and contains only alphabetic characters Count the number of words in each sublist of L that start with lowercase and uppercase letters. Return a new list where each element is a two-item tuple in which the first item is the number of words in the list at the corresponding index of L that start with a lowercase letter and the second item is the number of words in the list at the corresponding index of L that start with an uppercase letter. >>> count_letter_case([['apple', 'Banana'], ['PEAR'], [], ['PEACH', 'apRICot', 'plum']]) [(1, 1), (0, 1), (0, 0), (2, 1)]

Part (f) [3 MARKS] Complete method change-planes in class Flight: def change-planes(self, other_airplane): (Flight, Airplane) -> bool If other airplane has enough seats to hold the passengers on this flight, use other airplane for this flight. Whether or not we change to other_airplane, return the number of available seats on this flight (seats not currently occupied by passengers). >>> a1 = Airplane ('Boeing 747', '19643', 366, 45267.7) >>> f = Flight(a) >>> f.add('Myrto') True >>> f.add('Jen' True >>> a2 = Airplane ('Bombardier Dash 8', '11234', 39, 6444.6) >>> f.change-planes (a2) >>> a3 = Airplane('Cessna 150E', '9378', 1, 824.8) >>> f.change-planes (a3) 37

Objective: Take a sample feed, parse it, augment it, and output individual JSON objects for each product in it.

product.txt

  • The file contains several fields of basic product information for 1000 products.
  • Data for each product is on one line, with fields separated by a vertical pipe character.

This particular retailer classifies products into a particular store, department, category, and subcategory.

Example >

  • A Blender might have the following "taxonomy" or category classification.

Home & Garden > Kitchen & Dining > Appliances > Blenders

Store

Department

Category

Subcategory

store_id

department_id

category_id

subcategory_id

Ā 

These IDs are also represented in a sort of shorthand.

  • They should all be prefixed by the first three letters of their respective field name.

A store_id of 1 becomes sto1

A department_id of 2 becomes dep2

A category_id of 3 becomes cat3

A subcategory_id of 4 becomes sub4

targets.txt

  • A system to keep track of these various classifications
    • Example
      • A store_id of sto40 maps to a ā€œtarget valueā€ of 187298 in PromoteIQ's system

Output Example:

The desired output for the first product is one line of JSON that when pretty-printed looks like:

{

Ā  "sku": "22067130",

Ā  "name": "Brainboxes ES-571 Brainboxes Es-571 Industrial Isolated Ethernet to Serial + Switch - 1 x Network (R",

Ā  "description": "Brainboxes ES-571 Brand New Includes Lifetime Warranty Product # ES-571 Factory floors can be harsh environments.",

Ā  "priceList": 387.95,

Ā  "taxonomy": [

Ā Ā Ā  "sto2",

Ā Ā Ā  "dep7",

Ā Ā Ā  "cat270",

Ā Ā Ā  "sub18532"

Ā  ],

Ā  "targetValues": [

Ā Ā Ā  187167,

Ā Ā Ā  187177,

Ā Ā Ā  187950,

Ā Ā Ā  196404

Ā  ]

}

Ā 

The taxonomy IDs have been mapped to their long form and placed in the taxonomy property.

  • Each taxonomy ID has also been mapped to its corresponding target value ID from the targets.txt file
    • and that result is stored in the targetValues
    • The priceList property is the product price as a JSON float, not a string

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