Our second pattern is the mapped list pattern, described in video 4 3 mapped list pattern. Often we need to write a function that takes a list as a parameter and returns a new list in which each item in the original list is "mapped" to a new item in the result list. For example, the following function takes a list of numbers as a parameter and returns a list of all the numbers squared, e.g. squares ( [1, 3, 7]) returns [1, 9, 49]. def squares (nums): ""Returns the squares of the given numbers""" result = [] for num in nums: result.append (num num) return result Although this is just a special case of the accumulator pattern, it is so common that we give it its own name: the mapped list pattern. Consider the following function: def squares (nums): ""Returns the squares of the given numbers""" result = [] for num in nums: result.append (num num) return result If the main program calls print (squares ( [5, -3, 2, 7])) what is the state table for the function squares after the for loop has completed exactly 3 iterations?

Our second pattern is the mapped list pattern, described in video 4 3 mapped list pattern. Often we need to write a function that takes a list as a parameter and returns a new list in which each item in the original list is "mapped" to a new item in the result list. For example, the following function takes a list of numbers as a parameter and returns a list of all the numbers squared, e.g. squares ( [1, 3, 7]) returns [1, 9, 49]. def squares (nums): ""Returns the squares of the given numbers""" result = [] for num in nums: result.append (num num) return result Although this is just a special case of the accumulator pattern, it is so common that we give it its own name: the mapped list pattern. Consider the following function: def squares (nums): ""Returns the squares of the given numbers""" result = [] for num in nums: result.append (num num) return result If the main program calls print (squares ( [5, -3, 2, 7])) what is the state table for the function squares after the for loop has completed exactly 3 iterations?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

The mapped list pattern
Our second pattern is the mapped list pattern, described in video 4 3 mapped list pattern.
Often we need to write a function that takes a list as a parameter and returns a new list in which each item in the original list is "mapped" to a new
item in the result list. For example, the following function takes a list of numbers as a parameter and returns a list of all the numbers squared, e.g.
squares ( [1, 3, 7]) returns [1, 9, 49].
def squares (nums):
"Returns the squares of the given numbers"""
result = []
for num in nums:
result.append (num * num)
return result
Although this is just a special case of the accumulator pattern, it is so common that we give it its own name: the mapped list pattern.
Consider the following function:
def squares(nums):
""Returns the squares of the given numbers"""
result = []
for num in nums:
result.append (num * num)
return result
If the main program calls
print(squares ( [5, -3, 2, 7])
what is the state table for the function squares after the for loop has completed exactly 3 iterations?
Answer: (penalty regime: 0, 10, 20, ... %)
Variable
Value

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