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A list of 480 superheroes has been loaded into your session (called heroes) as well as a list of each hero's corresponding publisher (called publishers).You'd like to filter the heroes list based on a hero's specific publisher, but are unsure which of the below functions is more efficient.def get_publisher_heroes(heroes, publishers, desired_publisher): desired_heroes = [] for i,pub in enumerate(publishers): if pub == desired_publisher: desired_heroes.append(heroes[i]) return desired_heroesdef get_publisher_heroes_np(heroes, publishers, desired_publisher): heroes_np = np.array(heroes) pubs_np = np.array(publishers) desired_heroes = heroes_np[pubs_np == desired_publisher] return desired_heroesInstructions 2/425 XP234QuestionWithin your IPython console, load the line_profiler and use %lprun to profile the two functions for line-by-line runtime. When using %lprun, use each function to gather the Star Wars heroes as you did in the previous step.

Question

A list of 480 superheroes has been loaded into your session (called heroes) as well as a list of each hero's corresponding publisher (called publishers).You'd like to filter the heroes list based on a hero's specific publisher, but are unsure which of the below functions is more efficient.def get_publisher_heroes(heroes, publishers, desired_publisher): desired_heroes = [] for i,pub in enumerate(publishers): if pub == desired_publisher: desired_heroes.append(heroes[i]) return desired_heroesdef get_publisher_heroes_np(heroes, publishers, desired_publisher): heroes_np = np.array(heroes) pubs_np = np.array(publishers) desired_heroes = heroes_np[pubs_np == desired_publisher] return desired_heroesInstructions 2/425 XP234QuestionWithin your IPython console, load the line_profiler and use %lprun to profile the two functions for line-by-line runtime. When using %lprun, use each function to gather the Star Wars heroes as you did in the previous step.

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Solution

The question seems to be asking for a comparison of the efficiency of two Python functions using the line_profiler in an IPython console. Here are the steps to do this:

  1. First, you need to load the line_profiler in your IPython console. You can do this by typing the following command:
%load_ext line_profiler
  1. Next, you need to use the %lprun command to profile the first function. You can do this by typing the following command:
%lprun -f get_publisher_heroes get_publisher_heroes(heroes, publishers, 'Star Wars')

This command will run the get_publisher_heroes function with the arguments heroes, publishers, and 'Star Wars', and it will profile the function's runtime line by line.

  1. You need to do the same for the second function. You can do this by typing the following command:
%lprun -f get_publisher_heroes_np get_publisher_heroes_np(heroes, publishers, 'Star Wars')

This command will run the get_publisher_heroes_np function with the same arguments and profile its runtime line by line.

  1. Finally, you can compare the results of the two profiles to determine which function is more efficient. The line_profiler will provide a detailed breakdown of the time spent on each line of the function, allowing you to see where the most time is being spent.

This problem has been solved

Similar Questions

A random sample of 25,000 superheroes has been loaded into your session as an array called sample_indices. This sample is a list of indices that corresponds to each superhero's index selected from the heroes list.A function named calc_bmi_lists has also been created and saved to a file titled bmi_lists.py. For convenience, it is displayed below:def calc_bmi_lists(sample_indices, hts, wts): # Gather sample heights and weights as lists s_hts = [hts[i] for i in sample_indices] s_wts = [wts[i] for i in sample_indices] # Convert heights from cm to m and square with list comprehension s_hts_m_sqr = [(ht / 100) ** 2 for ht in s_hts] # Calculate BMIs as a list with list comprehension bmis = [s_wts[i] / s_hts_m_sqr[i] for i in range(len(sample_indices))] return bmisNotice that this function performs all necessary calculations using list comprehension (hence the name calc_bmi_lists()). Dig deeper into this function and analyze the memory footprint for performing your calculations using lists:Load the memory_profiler package into your IPython session.Import calc_bmi_lists from bmi_lists.Once you've completed the above steps, use %mprun to profile the calc_bmi_lists() function acting on your superheroes data. The hts array and wts array have already been loaded into your session.After you've finished coding, answer the following question:How much memory do the list comprehension lines of code consume in the calc_bmi_lists() function? (i.e., what is the total sum of the Increment column for these four lines of code?)

10. Return the ID of the most popular publisher (whose published media have the maximum total access times among all publishers). If more than one publishers have the maximum access times, you need to list all of them.

Use zip() to combine the first five items from the names list and the first three items from the primary_types list.

Condensed financial data of Heroes Pty Ltd follows. Heroes Pty Ltd Statement of financial position as at 30 June 2023 2023 2022 Assets Cash 45,000 25,000 Accounts receivable 38,000 17,000 Inventory 50,000 52,500 Investments (long term) 42,000 45,000 Plant and equipment 150,000 125,000 Accumulated depreciation - 28,000 - 21,000 Total Assets $297,000 $243,500 Liabilities and equity Accounts payable 25,000 24,000 Accrued expenses payable 5,500 9,500 Debentures payable 25,000 30,000 Share capital 150,000 120,000 Retained earnings 91,500 60,000 Total liabilities and equity $297,000 $243,500 Heroes Pty Ltd Statement of profit or loss for the year ended 30 June 2023 Sales 187,000 Gain on sale of equipment 7,500 Less: 194,500 Cost of sales 45,000 Operating expenses, excluding depreciation expense 12,500 Depreciation expense 22,000 Income tax 39,000 Interest expense 4,500 123,000 Profit $71,500 Additional information: 1. New equipment and machinery were purchased for cash during the year. 2. Investments were sold at cost. 3. Equipment costing $22,000 was sold for $14,500, resulting in a gain of $7,500. 4. A cash dividend was declared and paid during the year. 5. Shares are issued at cash. Debentures are reimbursed at cash. 6. Accounts payable pertain to inventory creditors. Required (a) Prepare a statement of cash flows using the direct method. (b) Prepare a reconciliation of profit to cash provided by operations

Writers are most likely to use which development method to answer the question, “What is a hero?”Select one:a. definitionb. classification

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