Add another solution to the "move zeroes to end" problem

Support the optimally performance solution of which I'm aware.
This commit is contained in:
William Carroll 2020-11-16 17:13:03 +00:00
parent ff08b723db
commit a457a81bbb

View file

@ -1,9 +1,10 @@
def move_zeroes_to_end(xs): from collections import deque
n_zeroes = 0
for x in xs:
if x == 0:
n_zeroes += 1
def move_zeroes_to_end_quadratic(xs):
"""
This solution is suboptimal. It runs in quadratic time, and it uses constant
space.
"""
i = 0 i = 0
while i < len(xs) - 1: while i < len(xs) - 1:
if xs[i] == 0: if xs[i] == 0:
@ -14,13 +15,48 @@ def move_zeroes_to_end(xs):
break break
xs[i], xs[j] = xs[j], xs[i] xs[i], xs[j] = xs[j], xs[i]
i += 1 i += 1
# add zeroes to the end
for i in range(n_zeroes):
xs[len(xs) - 1 - i] = 0
xs = [1, 2, 0, 3, 4, 0, 0, 5, 0] def move_zeroes_to_end_linear(xs):
print(xs) """
move_zeroes_to_end(xs) This solution is clever. It runs in linear time proportionate to the number
assert xs == [1, 2, 3, 4, 5, 0, 0, 0, 0] of elements in `xs`, and has linear space proportionate to the number of
print(xs) consecutive zeroes in `xs`.
print("Success!") """
q = deque()
for i in range(len(xs)):
if xs[i] == 0:
q.append(i)
else:
if q:
j = q.popleft()
xs[i], xs[j] = xs[j], xs[i]
q.append(i)
def move_zeroes_to_end_linear_constant_space(xs):
"""
This is the optimal solution. It runs in linear time and uses constant
space.
"""
i = 0
for j in range(len(xs)):
if xs[j] != 0:
xs[i], xs[j] = xs[j], xs[i]
i += 1
################################################################################
# Tests
################################################################################
xss = [
[1, 2, 0, 3, 4, 0, 0, 5, 0],
[0, 1, 2, 0, 3, 4],
[0, 0],
]
f = move_zeroes_to_end_linear_constant_space
for xs in xss:
print(xs)
f(xs)
print(xs)