Chapter “Divide and conquer algorithms”, exercise 2
Text
Implement in Python the partition algorithm – i.e. the non-recursive function def partition(input_list, start, end, pivot_position)
. It takes a list and the positions of the first and last elements in the list to consider as inputs. It redistributes all the elements of a list having position included between start
and end
on the right of the pivot value input_list[pivot_position]
if they are greater than it, and on its left otherwise. Also, the algorithm returns the new position where the pivot value is now stored. For instance, considering my_list = list(["The Graveyard Book", "Coraline", "Neverwhere", "Good Omens", "American Gods"])
, the execution of partition(my_list, 1, 4, 1)
changes my_list as follows: list(["The Graveyard Book", "American Gods", "Coraline", "Neverwhere", "Good Omens"])
and 2
will be returned (i.e. the new position of "Coraline"
). Note that "The Graveyard Book"
has not changed its position in the previous execution since it was not included between the specified start and end positions (i.e. 1
and 4
respectively). Accompany the implementation of the function with the appropriate test cases. As supporting material, Ang recorded a video which is useful to understand the rationale of the partition steps.
Answer
# Test case for the function
def test_partition(input_list, start, end, pivot_position, expected):
p_value = input_list[pivot_position]
result = partition(input_list, start, end, pivot_position)
output = expected == result and p_value == input_list[result]
for item in input_list[0:result]:
output = output and item <= p_value
for item in input_list[result + 1:len(input_list)]:
output = output and item >= p_value
return output
# Code of the function
def partition(input_list, start, end, pivot_position):
pivot_value = input_list[pivot_position]
swap_index = start - 1
for index in range(start, end + 1):
if input_list[index] < pivot_value:
swap_index += 1
if swap_index == pivot_position:
pivot_position = index
swap(input_list, swap_index, index)
new_pivot_position = swap_index + 1
swap(input_list, pivot_position, new_pivot_position)
return new_pivot_position
def swap(input_list, old_index, new_index):
cur_value = input_list[old_index]
input_list[old_index] = input_list[new_index]
input_list[new_index] = cur_value
# Run tests
print(test_partition([1, 2, 3, 4, 5], 0, 4, 0, 0))
print(test_partition([4, 5, 3, 1, 7], 0, 4, 0, 2))
print(test_partition([4, 5, 3, 1, 7], 0, 4, 2, 1))
print(test_partition([7, 5, 3, 1, 4], 0, 4, 4, 2))
print(test_partition([1, 9, 7, 5, 9, 3, 1, 4, 2, 3], 0, 9, 1, 8))
print(test_partition([1, 9, 7, 5, 9, 3, 1, 4, 2, 3], 0, 9, 0, 0))
print(test_partition([1, 9, 7, 5, 9, 3, 1, 4, 2, 3], 0, 9, 3, 6))
print(test_partition([1, 2, 2, 3, 9, 8, 4], 1, 2, 1, 1))
Additional material
The runnable Python file is available online.