print (odd_elements ( [2, 7, 14, 5])) what is the state table for the function odd_elements 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
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The filtered list pattern
Another common iteration pattern is the filtered-list pattern, described in video 4 4 filtered list pattern. In this pattern we select from a given list only
the elements matching a certain criterion. For example, the following function selects just the odd elements from a list of integers.
def odd_elements(numbers):
""'Returns just the odd elements from the given list of ints"""
result = []
for number in numbers:
if number % 2 != 0:
result.append (number)
return result
Like the mapped list pattern, this can be considered a particular use of the accumulator pattern that is common enough to warrant its own name.
Consider the following function:
def odd_elements (numbers):
""'Returns just the odd elements from the given list of ints"""
result = []
for number in numbers:
if number % 2 != 0:
result.append (number)
return result
If the main program calls
print (odd_elements( [2, 7, 14, 5]))
what is the state table for the function odd_elements after the for loop has completed exactly 3 iterations?
Answer: (penalty regime: 0, 10, 20, ... %)
Variable
Value
Transcribed Image Text:The filtered list pattern Another common iteration pattern is the filtered-list pattern, described in video 4 4 filtered list pattern. In this pattern we select from a given list only the elements matching a certain criterion. For example, the following function selects just the odd elements from a list of integers. def odd_elements(numbers): ""'Returns just the odd elements from the given list of ints""" result = [] for number in numbers: if number % 2 != 0: result.append (number) return result Like the mapped list pattern, this can be considered a particular use of the accumulator pattern that is common enough to warrant its own name. Consider the following function: def odd_elements (numbers): ""'Returns just the odd elements from the given list of ints""" result = [] for number in numbers: if number % 2 != 0: result.append (number) return result If the main program calls print (odd_elements( [2, 7, 14, 5])) what is the state table for the function odd_elements after the for loop has completed exactly 3 iterations? Answer: (penalty regime: 0, 10, 20, ... %) Variable Value
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