This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges).
We can use either a depth-first or a breadth-first search. Intuitively, it seems like a breadth-first search might be a better fit as we are creating a linked list for each level.
We can use a modified breadth-first search that keeps track of parents as we build the linked list for the current level.
current
current
is not empty:current
to results
parents
to current
to prepare to go one level deepercurrent
so it can hold the next levelparent
in parents
, add the children to current
Complexity:
In [1]:
%run ../bst/bst.py
In [2]:
def create_level_lists(root):
if root is None:
return
results = []
current = []
parents = []
current.append(root)
while current:
results.append(current)
parents = list(current)
current = []
for parent in parents:
if parent.left is not None:
current.append(parent.left)
if parent.right is not None:
current.append(parent.right)
return results
In [3]:
%run ../utils/results.py
In [4]:
%%writefile test_tree_level_lists.py
from nose.tools import assert_equal
class TestTreeLevelLists(object):
def test_tree_level_lists(self):
node = Node(5)
insert(node, 3)
insert(node, 8)
insert(node, 2)
insert(node, 4)
insert(node, 1)
insert(node, 7)
insert(node, 6)
insert(node, 9)
insert(node, 10)
insert(node, 11)
levels = create_level_lists(node)
results_list = []
for level in levels:
results = Results()
for node in level:
results.add_result(node)
results_list.append(results)
assert_equal(str(results_list[0]), '[5]')
assert_equal(str(results_list[1]), '[3, 8]')
assert_equal(str(results_list[2]), '[2, 4, 7, 9]')
assert_equal(str(results_list[3]), '[1, 6, 10]')
assert_equal(str(results_list[4]), '[11]')
print('Success: test_tree_level_lists')
def main():
test = TestTreeLevelLists()
test.test_tree_level_lists()
if __name__ == '__main__':
main()
In [5]:
%run -i test_tree_level_lists.py