quick sort
def partition(start, end, array):
# Initializing pivot's index to start
pivot_index = start
pivot = array[pivot_index]
# This loop runs till start pointer crosses
# end pointer, and when it does we swap the
# pivot with element on end pointer
while start < end:
# Increment the start pointer till it finds an
# element greater than pivot
while start < len(array) and array[start] <= pivot:
start += 1
# Decrement the end pointer till it finds an
# element less than pivot
while array[end] > pivot:
end -= 1
# If start and end have not crossed each other,
# swap the numbers on start and end
if(start < end):
array[start], array[end] = array[end], array[start]
# Swap pivot element with element on end pointer.
# This puts pivot on its correct sorted place.
array[end], array[pivot_index] = array[pivot_index], array[end]
# Returning end pointer to divide the array into 2
return end
# The main function that implements QuickSort
def quick_sort(start, end, array):
if (start < end):
# p is partitioning index, array[p]
# is at right place
p = partition(start, end, array)
# Sort elements before partition
# and after partition
quick_sort(start, p - 1, array)
quick_sort(p + 1, end, array)