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ancestor.py
264 lines | 9.0 KiB | text/x-python | PythonLexer
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 # ancestor.py - generic DAG ancestor algorithm for mercurial
#
# Copyright 2006 Matt Mackall <mpm@selenic.com>
#
Martin Geisler
updated license to be explicit about GPL version 2
r8225 # This software may be used and distributed according to the terms of the
Matt Mackall
Update license to GPLv2+
r10263 # GNU General Public License version 2 or any later version.
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135
Siddharth Agarwal
revlog: move ancestor generation out to a new class...
r18090 import heapq, util
Siddharth Agarwal
ancestor: faster algorithm for difference of ancestor sets...
r17970 from node import nullrev
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135
def ancestor(a, b, pfunc):
"""
Matt Mackall
ancestor: improve description
r13554 Returns the common ancestor of a and b that is furthest from a
root (as measured by longest path) or None if no ancestor is
found. If there are multiple common ancestors at the same
distance, the first one found is returned.
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135
Sune Foldager
ancestor: improve docstring...
r9915 pfunc must return a list of parent vertices for a given vertex
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 """
if a == b:
return a
Matt Mackall
merge: sort arguments to stabilize the ancestor search
r11418 a, b = sorted([a, b])
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 # find depth from root of all ancestors
Matt Mackall
ancestor: improve description
r13554 # depth is stored as a negative for heapq
Nicolas Dumazet
ancestor: caching the parent list to improve performance...
r7882 parentcache = {}
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 visit = [a, b]
depth = {}
while visit:
vertex = visit[-1]
pl = pfunc(vertex)
Nicolas Dumazet
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r7882 parentcache[vertex] = pl
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 if not pl:
depth[vertex] = 0
visit.pop()
else:
for p in pl:
Matt Mackall
backout most of 4f8067c94729
r12401 if p == a or p == b: # did we find a or b as a parent?
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 return p # we're done
if p not in depth:
visit.append(p)
if visit[-1] == vertex:
Matt Mackall
ancestor: improve description
r13554 # -(maximum distance of parents + 1)
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 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)]
Benoit Boissinot
ancestor: use set instead of dict
r8465 seen = set()
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 while h:
d, n = heapq.heappop(h)
if n not in seen:
Benoit Boissinot
ancestor: use set instead of dict
r8465 seen.add(n)
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 yield (d, n)
Nicolas Dumazet
ancestor: caching the parent list to improve performance...
r7882 for p in parentcache[n]:
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 heapq.heappush(h, (depth[p], p))
def generations(vertex):
Benoit Boissinot
ancestor: use set instead of dict
r8465 sg, s = None, set()
Thomas Arendsen Hein
white space and line break cleanups
r3673 for g, v in ancestors(vertex):
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 if g != sg:
if sg:
yield sg, s
Benoit Boissinot
ancestor: use set instead of dict
r8465 sg, s = g, set((v,))
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 else:
Benoit Boissinot
ancestor: use set instead of dict
r8465 s.add(v)
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 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:
Martin Geisler
check-code: flag 0/1 used as constant Boolean expression
r14494 while True:
Matt Mackall
Abstract ancestor algorithm into generic function...
r3135 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
Siddharth Agarwal
ancestor: faster algorithm for difference of ancestor sets...
r17970
def missingancestors(revs, bases, pfunc):
"""Return all the ancestors of revs that are not ancestors of bases.
This may include elements from revs.
Equivalent to the revset (::revs - ::bases). Revs are returned in
revision number order, which is a topological order.
revs and bases should both be iterables. pfunc must return a list of
parent revs for a given revs.
"""
revsvisit = set(revs)
basesvisit = set(bases)
if not revsvisit:
return []
if not basesvisit:
basesvisit.add(nullrev)
start = max(max(revsvisit), max(basesvisit))
bothvisit = revsvisit.intersection(basesvisit)
revsvisit.difference_update(bothvisit)
basesvisit.difference_update(bothvisit)
# At this point, we hold the invariants that:
# - revsvisit is the set of nodes we know are an ancestor of at least one
# of the nodes in revs
# - basesvisit is the same for bases
# - bothvisit is the set of nodes we know are ancestors of at least one of
# the nodes in revs and one of the nodes in bases
# - a node may be in none or one, but not more, of revsvisit, basesvisit
# and bothvisit at any given time
# Now we walk down in reverse topo order, adding parents of nodes already
# visited to the sets while maintaining the invariants. When a node is
# found in both revsvisit and basesvisit, it is removed from them and
# added to bothvisit instead. When revsvisit becomes empty, there are no
# more ancestors of revs that aren't also ancestors of bases, so exit.
missing = []
for curr in xrange(start, nullrev, -1):
if not revsvisit:
break
if curr in bothvisit:
bothvisit.remove(curr)
# curr's parents might have made it into revsvisit or basesvisit
# through another path
for p in pfunc(curr):
revsvisit.discard(p)
basesvisit.discard(p)
bothvisit.add(p)
continue
# curr will never be in both revsvisit and basesvisit, since if it
# were it'd have been pushed to bothvisit
if curr in revsvisit:
missing.append(curr)
thisvisit = revsvisit
othervisit = basesvisit
elif curr in basesvisit:
thisvisit = basesvisit
othervisit = revsvisit
else:
Siddharth Agarwal
ancestor: fix a comment (followup to 0b03454abae7)
r17976 # not an ancestor of revs or bases: ignore
Siddharth Agarwal
ancestor: faster algorithm for difference of ancestor sets...
r17970 continue
thisvisit.remove(curr)
for p in pfunc(curr):
if p == nullrev:
pass
elif p in othervisit or p in bothvisit:
# p is implicitly in thisvisit. This means p is or should be
# in bothvisit
revsvisit.discard(p)
basesvisit.discard(p)
bothvisit.add(p)
else:
# visit later
thisvisit.add(p)
missing.reverse()
return missing
Siddharth Agarwal
revlog: move ancestor generation out to a new class...
r18090
class lazyancestors(object):
def __init__(self, cl, revs, stoprev=0, inclusive=False):
"""Create a new object generating ancestors for the given revs. Does
not generate revs lower than stoprev.
Siddharth Agarwal
ancestor: add lazy membership testing to lazyancestors...
r18091 This is computed lazily starting from revs. The object supports
iteration and membership.
Siddharth Agarwal
revlog: move ancestor generation out to a new class...
r18090
cl should be a changelog and revs should be an iterable. inclusive is
a boolean that indicates whether revs should be included. Revs lower
than stoprev will not be generated.
Result does not include the null revision."""
self._parentrevs = cl.parentrevs
self._initrevs = revs
self._stoprev = stoprev
self._inclusive = inclusive
Siddharth Agarwal
ancestor: add lazy membership testing to lazyancestors...
r18091 # Initialize data structures for __contains__.
# For __contains__, we use a heap rather than a deque because
# (a) it minimizes the number of parentrevs calls made
# (b) it makes the loop termination condition obvious
# Python's heap is a min-heap. Multiply all values by -1 to convert it
# into a max-heap.
self._containsvisit = [-rev for rev in revs]
heapq.heapify(self._containsvisit)
if inclusive:
self._containsseen = set(revs)
else:
self._containsseen = set()
Siddharth Agarwal
revlog: move ancestor generation out to a new class...
r18090 def __iter__(self):
"""Generate the ancestors of _initrevs in reverse topological order.
If inclusive is False, yield a sequence of revision numbers starting
with the parents of each revision in revs, i.e., each revision is *not*
considered an ancestor of itself. Results are in breadth-first order:
parents of each rev in revs, then parents of those, etc.
If inclusive is True, yield all the revs first (ignoring stoprev),
then yield all the ancestors of revs as when inclusive is False.
If an element in revs is an ancestor of a different rev it is not
yielded again."""
seen = set()
revs = self._initrevs
if self._inclusive:
for rev in revs:
yield rev
seen.update(revs)
parentrevs = self._parentrevs
stoprev = self._stoprev
visit = util.deque(revs)
while visit:
for parent in parentrevs(visit.popleft()):
if parent >= stoprev and parent not in seen:
visit.append(parent)
seen.add(parent)
yield parent
Siddharth Agarwal
ancestor: add lazy membership testing to lazyancestors...
r18091
def __contains__(self, target):
"""Test whether target is an ancestor of self._initrevs."""
# Trying to do both __iter__ and __contains__ using the same visit
# heap and seen set is complex enough that it slows down both. Keep
# them separate.
seen = self._containsseen
if target in seen:
return True
parentrevs = self._parentrevs
visit = self._containsvisit
stoprev = self._stoprev
heappop = heapq.heappop
heappush = heapq.heappush
targetseen = False
while visit and -visit[0] > target and not targetseen:
for parent in parentrevs(-heappop(visit)):
if parent < stoprev or parent in seen:
continue
# We need to make sure we push all parents into the heap so
# that we leave it in a consistent state for future calls.
heappush(visit, -parent)
seen.add(parent)
if parent == target:
targetseen = True
return targetseen