def BellmanFordOpti(G, src):
dist = [inf] * G.order
dist[src] = 0
p = [-1] * G.order
n = G.order
q = queue.Queue()
q.enqueue(src)
inQueue = [False] * G.order
inQueue[src] = True
q2 = queue.Queue()
while n > 0 and not q.isempty():
x = q.dequeue()
inQueue[x] = False
for y in G.adjlists[x]:
if dist[x] + G.costs[(x, y)] < dist[y]:
dist[y] = dist[x] + G.costs[(x, y)]
p[y] = x
if not inQueue[y]:
q2.enqueue(y)
inQueue[y] = True
if q.isempty(): # level change
q = q2
q2 = queue.Queue()
n -= 1
return (not q.isempty(), dist, p)
def bfsasbin(B):
q = queue.Queue()
q2 = queue.Queue()
q.enqueue(B)
while not q.isempty():
B = q.dequeue()
print(B.key)
child = B.child
while child:
q2.enqueue(child)
child = child.sibling
if q.isempty():
print()
(q, q2) = (q2, q)
def is_perfectBFS(B): # complet!
"""
BFS: tests if each level has twice as many nodes
as the previous level
"""
if B == None:
return True
else:
q = queue.Queue()
q.enqueue(B)
q.enqueue(None)
ok = True
(current, expected) = (0, 1)
while not q.isempty() and ok:
B = q.dequeue()
if B == None:
ok = (current == expected)
if not q.isempty():
q.enqueue(None)
(expected, current) = (2 * current, 0)
else:
current += 1
if B.left != None:
q.enqueue(B.left)
if B.right != None:
q.enqueue(B.right)
return ok
def __colorize_graph(G, result, precolors, vec, cur):
maxcol = 0
q = queue.Queue()
q.enqueue(cur)
vec[cur] = 1
while not q.isempty():
cur = q.dequeue()
col = result[cur]
maxcol = max(maxcol, col)
for child in G.adjlists[cur]:
if not vec[child]:
q.enqueue(child)
vec[child] = 1
childcol = result[child]
if col == childcol:
__add_color(col, precolors[child])
result[child] = __fix_color(col, precolors[child])
elif col > childcol:
__add_color(col, precolors[child])
return maxcol
def levels(B):
q = queue.Queue()
q.enqueue(B)
q2 = queue.Queue()
Levels = []
L = []
while not q.isempty():
B = q.dequeue()
L.append(B.key)
C = B.child
while C:
q2.enqueue(C)
C = C.sibling
if q.isempty():
(q, q2) = (q2, q)
Levels.append(L)
L = []
return Levels
def __BFS_forest(G, s, p):
q = queue.Queue()
q.enqueue(s)
p[s] = -1 # root
while not q.isempty():
x = q.dequeue()
for y in G.adjlists[x]:
if p[y] == None:
q.enqueue(y)
p[y] = x
def width2(B):
w_max = 0
if B != None:
q = queue.Queue() #current
q.enqueue(B)
q2 = queue.Queue() #next level
w = 0
while not q.isempty():
B = q.dequeue()
(w, w_max) = (0, 0)
if B.left != None:
q2.enqueue(B.left)
if B.right != None:
q2.enqueue(B.right)
if q.isempty():
w_max = max(w, w_max)
w = 0
(q, q2) = (q2, q)
return w_max
def __BFS(G, s, p):
q = queue.Queue()
q.enqueue(s)
p[s] = -1
while not q.isempty():
s = q.dequeue()
print(s)
for adj in G.adjlists[s]:
if p[adj] == None:
q.enqueue(adj)
p[adj] = s
def __componentsBFS(G, s, cc, nocc):
q = queue.Queue()
q.enqueue(s)
cc[s] = nocc
while not q.isempty():
s = q.dequeue()
for adj in G.adjlists[s]:
if cc[adj] is None:
q.enqueue(adj)
cc[adj] = nocc
def __bfs(G, s, p):
q = queue.Queue()
q.enqueue(s)
p[s] = -1 # M[s] = True
while not q.isempty():
s = q.dequeue()
print(s, end = ' ')
for adj in G.adjlists[s]:
if p[adj] is None: # not M[adj]
p[adj] = s
q.enqueue(adj)
def bfs(B): #breadth first search
if B != None:
q = queue.Queue()
q.enqueue(B)
while not q.isempty():
B = q.dequeue()
print(B.key, end=' ')
if B.left != None:
q.enqueue(B.left)
if B.right != None:
q.enqueue(B.right)
def excentricity(G, src):
dist = [-1] * G.order
q = queue.Queue()
q = q.enqueue(src)
dist[src] = 0
while not q.isempty():
s = q.dequeue()
for adj in G.adjlists[s]:
if dist[adj] == -1:
dist[adj] = dist[s] + 1
q.enqueue(adj)
return dist[s]
def __BFS(Gmat, s, M):
q = queue.Queue()
q.enqueue(s)
M[s] = True
while not q.isempty():
x = q.dequeue()
print(x)
for y in range(Gmat.order):
if Gmat.adj[x][y]: # x is adjacent to y
if not M[y]: # y is not marked
M[y] = True
q.enqueue(y)
def __distances2(G, s, M, dmin, dmax):
q = queue.Queue()
q.enqueue(s)
M[s] = True
q2 = queue.Queue()
depth = 0
while not q.isempty():
s = q.dequeue()
if depth >= dmin:
print(s, end=' ')
if depth < dmax:
for adj in range(G.order):
if G.adj[s][adj]:
if not M[adj]:
q2.enqueue(adj)
M[adj] = True
if q.isempty():
depth += 1
if depth > dmin:
print()
(q, q2) = (q2, q)
def bfs_h(T):
if len(T) > 1 and T[1] != None:
l = len(T)
q = queue.Queue()
q.enqueue(1)
while not q.isempty():
no = q.dequeue()
print(T[no])
if no < l and T[no] != None: # left child
q.enqueue(2 * no)
if no < l and T[no] != None: # right child
q.enqueue(2 * no + 1)
def __bfsMat(G, s, p):
q = queue.Queue()
q.enqueue(s)
p[s] = -1 # M[s] = True
while not q.isempty():
s = q.dequeue()
print(s, end = ' ')
for adj in range(G.order):
if G.adj[s][adj]: #adj is a successor
if p[adj] is None: # not M[adj]
p[adj] = s
q.enqueue(adj)
def width(B):
"""
computes the width of a bintree
"""
w_max = 0
if B != None:
q = queue.Queue() #current
q.enqueue(B)
q_next = queue.Queue() #next level
w = 0
while not q.isempty():
B = q.dequeue()
w = w + 1
if B.left != None:
q_next.enqueue(B.left)
if B.right != None:
q_next.enqueue(B.right)
if q.isempty():
w_max = max(w, w_max)
w = 0
(q, q_next) = (q_next, q)
return w_max
def __distances(G, s):
dist = [None] * G.order
dist[s] = 0
q = queue.Queue()
q.enqueue(s)
while not q.isempty():
s = q.dequeue()
for adj in G.adjlists[s]:
if dist[adj] == None:
dist[adj] = dist[s] + 1
q.enqueue(adj)
return (s, dist[s])
def __bfs(G, s, dst, p):
q = queue.Queue()
q.enqueue(s)
p[s] = -1
while not q.isempty():
s = q.dequeue()
for adj in G.adjlists[s]:
if p[adj] is None:
p[adj] = s
if adj == dst:
return True
q.enqueue(adj)
return False
def __pathBFS(G, src, dst, p):
"""
return True if dst reachable from src
"""
q = queue.Queue()
q.enqueue(src)
p[s] = -1
while not q.isempty():
s = q.dequeue()
for adj in G.adjlists[s]:
if p[adj] == None:
q.enqueue(adj)
p[adj] = s
def __pathBFS(G, src, dst, p):
q = queue.Queue()
q.enqueue(src)
p[src] = -1
while not q.isempty():
s = q.dequeue()
for adj in G.adjlists[s]:
if p[adj] == None:
p[adj] = s
if adj == dst:
return True
q.enqueue(adj)
return False
def __bipartiteBFS(G, s, Set):
q = queue.Queue()
q.enqueue(s)
Set[s] = 1
while not q.isempty():
s = q.dequeue()
for adj in G.adjlists[s]:
if Set[adj] == 0:
Set[adj] = -Set[s]
q.enqueue(adj)
else:
if Set[s] == Set[adj]:
return False
return True
def treeToOccList(B):
'''
Builds the list of node occurrences
'''
q = queue.Queue()
q.enqueue((B, ""))
L = []
while not q.isempty():
(T, occ) = q.dequeue()
L.append(occ)
if T.left != None:
q.enqueue((T.left, occ + '0'))
if T.right != None:
q.enqueue((T.right, occ + '1'))
return L
def __pathBFSmat(G, src, dst, p):
q = queue.Queue()
q.enqueue(src)
p[src] = -1
while not q.isempty():
s = q.dequeue()
for adj in range(G.order):
if G.adj[s][adj]:
if p[adj] == None:
p[adj] = s
if adj == dst:
return True
q.enqueue(adj)
return False
def occurrences(B):
L = []
if B != None:
q = queue.Queue()
q.enqueue((B, ""))
while not q.isempty():
(B, occ) = q.dequeue()
L.append(occ)
if B.left != None:
q.enqueue((B.left, occ + '0'))
if B.right != None:
q.enqueue((B.right, occ + '1'))
L[0] = chr(949) # 'ε'
return L
def treeToOccList(B):
'''
Builds the list of node occurrences
'''
L = []
if B:
q = queue.Queue()
q.enqueue((B, ""))
while not q.isempty():
(B, occ) = q.dequeue()
L.append(occ)
if B.left:
q.enqueue((B.left, occ + '0') )
if B.right:
q.enqueue((B.right, occ + '1'))
return L
def Bellman2(G, src):
dist = [inf] * G.order
dist[src] = 0
p = [-1] * G.order
din = indegreesSubGraph(G, src)
q = queue.Queue()
q.enqueue(src)
while not q.isempty():
x = q.dequeue()
for y in G.adjlists[x]:
din[y] -= 1
if din[y] == 0:
q.enqueue(y)
if dist[x] + G.costs[(x, y)] < dist[y]:
dist[y] = dist[x] + G.costs[(x, y)]
p[y] = x
return (dist, p)
def bfs_levels(B):
if B:
q = queue.Queue()
q.enqueue(B)
q.enqueue(None)
while not q.isempty():
B = q.dequeue()
if B == None:
print()
if not q.isempty():
q.enqueue(None)
else:
print(B.key, end=' ')
if B.left:
q.enqueue(B.left)
if B.right:
q.enqueue(B.right)
def listCodes(B):
'''
Builds the list of (letter, code)
B is not None
B is full (localement complet)
'''
q = queue.Queue()
q.enqueue((B, ""))
L = []
while not q.isempty():
(T, occ) = q.dequeue()
if T.left == T.right:
L.append((T.key, occ))
else:
q.enqueue((T.left, occ + '0'))
q.enqueue((T.right, occ + '1'))
return L
def levels(T):
q = queue.Queue()
q.enqueue(T)
q.enqueue(None)
List = []
level = []
while not q.isempty():
T = q.dequeue()
if T == None:
List.append(level)
level = []
if not q.isempty():
q.enqueue(None)
else:
level.append(T.key)
for child in T.children:
q.enqueue(child)
return List