# ancestor.py - generic DAG ancestor algorithm for mercurial
#
# Copyright 2006 Matt Mackall <mpm@selenic.com>
#
# This software may be used and distributed according to the terms
# of the GNU General Public License, incorporated herein by reference.
import heapq
def ancestor(a, b, pfunc):
"""
return the least common ancestor of nodes a and b or None if there
is no such ancestor.
pfunc must return a list of parent vertices
"""
if a == b:
return a
# find depth from root of all ancestors
visit = [a, b]
depth = {}
while visit:
vertex = visit[-1]
pl = pfunc(vertex)
if not pl:
depth[vertex] = 0
visit.pop()
else:
for p in pl:
if p == a or p == b: # did we find a or b as a parent?
return p # we're done
if p not in depth:
visit.append(p)
if visit[-1] == vertex:
depth[vertex] = min([depth[p] for p in pl]) - 1
visit.pop()
# traverse ancestors in order of decreasing distance from root
def ancestors(vertex):
h = [(depth[vertex], vertex)]
seen = {}
while h:
d, n = heapq.heappop(h)
if n not in seen:
seen[n] = 1
yield (d, n)
for p in pfunc(n):
heapq.heappush(h, (depth[p], p))
def generations(vertex):
sg, s = None, {}
for g, v in ancestors(vertex):
if g != sg:
if sg:
yield sg, s
sg, s = g, {v:1}
else:
s[v] = 1
yield sg, s
x = generations(a)
y = generations(b)
gx = x.next()
gy = y.next()
# increment each ancestor list until it is closer to root than
# the other, or they match
try:
while 1:
if gx[0] == gy[0]:
for v in gx[1]:
if v in gy[1]:
return v
gy = y.next()
gx = x.next()
elif gx[0] > gy[0]:
gy = y.next()
else:
gx = x.next()
except StopIteration:
return None
def symmetricdifference(a, b, pfunc):
"""symmetric difference of the sets of ancestors of a and b
I.e. revisions that are ancestors of a or b, but not both.
"""
# basic idea:
# - mark a and b with different colors
# - walk the graph in topological order with the help of a heap;
# for each revision r:
# - if r has only one color, we want to return it
# - add colors[r] to its parents
#
# We keep track of the number of revisions in the heap that
# we may be interested in. We stop walking the graph as soon
# as this number reaches 0.
if a == b:
return [a]
WHITE = 1
BLACK = 2
ALLCOLORS = WHITE | BLACK
colors = {a: WHITE, b: BLACK}
visit = [-a, -b]
heapq.heapify(visit)
n_wanted = len(visit)
ret = []
while n_wanted:
r = -heapq.heappop(visit)
wanted = colors[r] != ALLCOLORS
n_wanted -= wanted
if wanted:
ret.append(r)
for p in pfunc(r):
if p not in colors:
# first time we see p; add it to visit
n_wanted += wanted
colors[p] = colors[r]
heapq.heappush(visit, -p)
elif colors[p] != ALLCOLORS and colors[p] != colors[r]:
# at first we thought we wanted p, but now
# we know we don't really want it
n_wanted -= 1
colors[p] |= colors[r]
del colors[r]
return ret