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merging-linked-lists.py
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# Merging Linked Lists
# 🟠 Medium
#
# https://www.algoexpert.io/questions/merging-linked-lists
#
# Tags: Linked List
import timeit
# Count the number of nodes on both lists, then skip the difference in
# number of nodes on the longest list and start iterating them at the
# same time, if the lists merge at some point, their tails will be the
# same, if we arrive at the same node at some point, that is the
# intersection, if we don't, the lists do not intersect.
#
# Time complexity: O(n) - Where n is the number of nodes in both lists.
# Space complexity: O(1) - Extra constant memory used.
class Solution:
def mergingLinkedLists(self, a, b):
# Define a nested function that returns the length of a linked
# list given its head.
def getLength(linkedList) -> int:
size = 0
current = linkedList
while current:
size += 1
current = current.next
return size
# Compute the length of both lists.
len_a, len_b = getLength(a), getLength(b)
# Make sure list one is the longest one.
if len_a < len_b:
len_a, len_b, a, b = len_b, len_a, b, a
difference = len_a - len_b
# Skip until we have the same number of remaining nodes.
while difference:
a = a.next
difference -= 1
# Travel both lists simultaneously.
while a:
if a is b:
return a
a, b = a.next, b.next
return None
def test():
executors = [Solution]
tests = []
for executor in executors:
start = timeit.default_timer()
for _ in range(1):
for col, t in enumerate(tests):
sol = executor()
result = sol.mergingLinkedLists(t[0], t[1])
exp = t[2]
assert result == exp, (
f"\033[93m» {result} <> {exp}\033[91m for"
+ f" test {col} using \033[1m{executor.__name__}"
)
stop = timeit.default_timer()
used = str(round(stop - start, 5))
cols = "{0:20}{1:10}{2:10}"
res = cols.format(executor.__name__, used, "seconds")
print(f"\033[92m» {res}\033[0m")
test()