def test_queue():
class Element(HasDuration):
def __init__(self, v, d):
self.val = v
self.dur = d
def duration(self) -> int:
return self.dur
def __repr__(self):
return f"Element({self.val})"
def advance():
return frozenset(e.val for e in queue.advance())
queue = Queue()
queue.extend([Element("a_0", 1), Element("b_0", 2), Element("d_0", 4), Element("c_0", 3)])
queue.append(Element("a_1", 1))
assert advance() == {"a_0", "a_1"}
queue.extend([Element("b_1", 1), Element("e_0", 4)])
assert advance() == {"b_0", "b_1"}
assert advance() == {"c_0"}
assert advance() == {"d_0"}
assert advance() == {"e_0"}
assert advance() == set()
queue.append(Element("f_0", 5))
for _ in range(4):
assert advance() == set()
assert advance() == {"f_0"}
def earliest_ancestor(ancestors, starting_node):
# create a dictionary
struct = {}
# Loop through each pair in the ancestor list
for pair in ancestors:
# Parent is the first value of pair
parent = pair[0]
# Child is the second value of pair
child = pair[1]
# If Child is not in 'struct', add it
if child not in struct:
struct[child] = []
# Then add the parents of each child to their list in the dict
struct[child].append(parent)
# Create a queue
q = Queue()
# Append the starting node
q.enqueue([starting_node])
# Set a default longest node to store the largest distance
# index 0 and the last node - as it corresponds with the longest distance
longest_node = [0, -1]
# Check if the queue is empty
while len(q) > 0:
# pop the first path from the queue
curr_path = q.popleft()
# get the last node in the path
last_node = curr_path[-1]
# Check if the last node is in the dictionary
if last_node not in struct:
# if the curr_path is longer than the previous_path, that will be the new longest path
if len(curr_path
) > longest_node[0] and last_node > longest_node[1]:
# store the new longest_node
longest_node = [len(curr_path), last_node]
# else, if the last_node does have parents
else:
# loop through each parent and queue up
# a path from the current path to each parent
for x in struct[last_node]:
q.append(curr_path + [x])
# if the longest_node is = starting_node, return -1 as the starting_node has no parents
if longest_node[1] == starting_node:
return -1
# Else return the node furthest away, which is longest_node[1]
else:
return longest_node[1]
def breadth_first_traverse(root):
"""breadth-first traversal or "level order traversal"
algorithm:
queue.
"""
if not root:
return
q = Queue([root], debug=True)
while q:
p = q.pop(0)
yield p
if p.left: q.append(p.left)
if p.right: q.append(p.right)
def breadth_first_traverse(root):
"""breadth-first traversal or "level order traversal"
algorithm:
queue.
"""
if not root:
return
q = Queue([root], debug=True)
while q:
p = q.pop(0)
yield p
if p.left: q.append(p.left)
if p.right: q.append(p.right)
def print_tree(root):
"""print tree
"""
if not root:
return
if not (root.left or root.right):
print root.value
#tree height
tree_height = 0
q = Queue([(root, 0)]) #node, layer
while q:
p, layer = q.pop(0)
if p.left or p.right:
tree_height = layer + 1
if p.left:
q.append((p.left, layer + 1))
if p.right:
q.append((p.right, layer + 1))
node_width = 1
#node_width = 2
# *
# / \
# * *
tree_width = (2**
(tree_height - 1)) * (node_width * 3 + 2) + 2 #2 extra space
root_node_begin = (tree_width - node_width) / 2
#initialize line buffer
count = 0
for layer in range(1, tree_height + 1):
count += 2**(tree_height - layer) #the edge
count += 1 #the node
lines = []
for i in range(0, count + 1):
lines.append([" "] * tree_width)
#draw the tree to the buffer
q = [(root, root_node_begin, 0, 0)] #(node, node_begin, layer, line_idx)
while q:
p, node_begin, layer, line_idx = q.pop(0)
#print current node to buffer
line = lines[line_idx]
for i, c in enumerate("%s" % p.value):
line[node_begin + i] = c
if p.left:
next_line_idx = line_idx + 2**(tree_height - layer - 1) + 1
#edge to left child
next_node_begin = node_begin
for i in range(line_idx + 1, next_line_idx):
lines[i][next_node_begin - 1] = "/"
next_node_begin -= 1
next_node_begin -= node_width
q.append((p.left, next_node_begin, layer + 1, next_line_idx))
if p.right:
next_line_idx = line_idx + 2**(tree_height - layer - 1) + 1
#edge to right child
next_node_begin = node_begin + node_width
for i in range(line_idx + 1, next_line_idx):
lines[i][next_node_begin] = "\\"
next_node_begin += 1
q.append((p.right, next_node_begin, layer + 1, next_line_idx))
#print out the tree
for line in lines:
print "".join(line)
def print_tree(root):
"""print tree
"""
if not root:
return
if not (root.left or root.right):
print root.value
#tree height
tree_height = 0
q = Queue([(root, 0)]) #node, layer
while q:
p, layer = q.pop(0)
if p.left or p.right:
tree_height = layer + 1
if p.left:
q.append((p.left, layer + 1))
if p.right:
q.append((p.right, layer + 1))
node_width = 1
#node_width = 2
# *
# / \
# * *
tree_width = (2 ** (tree_height - 1)) * (node_width * 3 + 2) + 2 #2 extra space
root_node_begin = (tree_width - node_width) / 2
#initialize line buffer
count = 0
for layer in range(1, tree_height + 1):
count += 2 ** (tree_height - layer) #the edge
count += 1 #the node
lines = []
for i in range(0, count + 1):
lines.append([" "] * tree_width)
#draw the tree to the buffer
q = [(root, root_node_begin, 0, 0)] #(node, node_begin, layer, line_idx)
while q:
p, node_begin, layer, line_idx = q.pop(0)
#print current node to buffer
line = lines[line_idx]
for i,c in enumerate("%s" % p.value):
line[node_begin + i] = c
if p.left:
next_line_idx = line_idx + 2 ** (tree_height - layer - 1) + 1
#edge to left child
next_node_begin = node_begin
for i in range(line_idx + 1, next_line_idx):
lines[i][next_node_begin - 1] = "/"
next_node_begin -= 1
next_node_begin -= node_width
q.append((p.left, next_node_begin, layer + 1, next_line_idx))
if p.right:
next_line_idx = line_idx + 2 ** (tree_height - layer - 1) + 1
#edge to right child
next_node_begin = node_begin + node_width
for i in range(line_idx + 1, next_line_idx):
lines[i][next_node_begin] = "\\"
next_node_begin += 1
q.append((p.right, next_node_begin, layer + 1, next_line_idx))
#print out the tree
for line in lines:
print "".join(line)