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push: gather all bookmark decisions together...
push: gather all bookmark decisions together The discovery phases for bookmarks now use the list of explicitly pushed bookmarks to do addition, removal and overwriting. Tests are impacted because this reduces the amount of listkeys calls issued, removes some duplicated messages and improves the accuracy of some messages.

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ancestor.py
315 lines | 10.4 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
Augie Fackler
cleanup: move stdlib imports to their own import statement...
r20034 import heapq
import 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
Mads Kiilerich
ancestors: extract candidates function as commonancestorsheads
r21101 def commonancestorsheads(pfunc, *nodes):
"""Returns a set with the heads of all common ancestors of all nodes,
heads(::nodes[0] and ::nodes[1] and ...) .
pfunc must return a list of parent vertices for a given vertex.
"""
if not isinstance(nodes, set):
nodes = set(nodes)
if nullrev in nodes:
return set()
if len(nodes) <= 1:
return nodes
allseen = (1 << len(nodes)) - 1
seen = [0] * (max(nodes) + 1)
for i, n in enumerate(nodes):
seen[n] = 1 << i
poison = 1 << (i + 1)
gca = set()
interesting = len(nodes)
nv = len(seen) - 1
while nv >= 0 and interesting:
v = nv
nv -= 1
if not seen[v]:
continue
sv = seen[v]
if sv < poison:
interesting -= 1
if sv == allseen:
gca.add(v)
sv |= poison
if v in nodes:
# history is linear
return set([v])
if sv < poison:
for p in pfunc(v):
sp = seen[p]
if p == nullrev:
continue
if sp == 0:
seen[p] = sv
interesting += 1
elif sp != sv:
seen[p] |= sv
else:
for p in pfunc(v):
if p == nullrev:
continue
sp = seen[p]
if sp and sp < poison:
interesting -= 1
seen[p] = sv
return gca
Bryan O'Sullivan
ancestor: a new algorithm that is faster for nodes near tip...
r18986 def ancestors(pfunc, *orignodes):
"""
Returns the common ancestors of a and b that are furthest from a
root (as measured by longest path).
pfunc must return a list of parent vertices for a given vertex.
"""
def deepest(nodes):
interesting = {}
count = max(nodes) + 1
depth = [0] * count
seen = [0] * count
mapping = []
for (i, n) in enumerate(sorted(nodes)):
depth[n] = 1
b = 1 << i
seen[n] = b
interesting[b] = 1
mapping.append((b, n))
nv = count - 1
while nv >= 0 and len(interesting) > 1:
v = nv
nv -= 1
dv = depth[v]
if dv == 0:
continue
sv = seen[v]
for p in pfunc(v):
if p == nullrev:
continue
dp = depth[p]
nsp = sp = seen[p]
if dp <= dv:
depth[p] = dv + 1
if sp != sv:
interesting[sv] += 1
nsp = seen[p] = sv
if sp:
interesting[sp] -= 1
if interesting[sp] == 0:
del interesting[sp]
elif dv == dp - 1:
nsp = sp | sv
if nsp == sp:
continue
seen[p] = nsp
interesting.setdefault(nsp, 0)
interesting[nsp] += 1
interesting[sp] -= 1
if interesting[sp] == 0:
del interesting[sp]
interesting[sv] -= 1
if interesting[sv] == 0:
del interesting[sv]
if len(interesting) != 1:
return []
k = 0
for i in interesting:
k |= i
return set(n for (i, n) in mapping if k & i)
Mads Kiilerich
ancestors: extract candidates function as commonancestorsheads
r21101 gca = commonancestorsheads(pfunc, *orignodes)
Bryan O'Sullivan
ancestor: a new algorithm that is faster for nodes near tip...
r18986
if len(gca) <= 1:
return gca
return deepest(gca)
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()
Pierre-Yves David
ancestors: add a __nonzero__ method...
r22225 def __nonzero__(self):
"""False if the set is empty, True otherwise."""
try:
iter(self).next()
return True
except StopIteration:
return False
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