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changelog: add class to represent parsed changelog revisions...
changelog: add class to represent parsed changelog revisions Currently, changelog entries are parsed into their respective components at read time. Many operations are only interested in a subset of fields of a changelog entry. The parsing and storing of all the fields adds avoidable overhead. This patch introduces the "changelogrevision" class. It takes changelog raw text and exposes the parsed results as attributes. The code for parsing changelog entries has been moved into its construction function. changelog.read() has been modified to use the new class internally while maintaining its existing API. Future patches will make revision parsing lazy. We implement the construction function of the new class with __new__ instead of __init__ so we can use a named tuple to represent the empty revision. This saves overhead and complexity of coercing later versions of this class to represent an empty instance. While we are here, we add a method on changelog to obtain an instance of the new type. The overhead of constructing the new class regresses performance of revsets accessing this data: author(mpm) 0.896565 0.929984 desc(bug) 0.887169 0.935642 105% date(2015) 0.878797 0.908094 extra(rebase_source) 0.865446 0.922624 106% author(mpm) or author(greg) 1.801832 1.902112 105% author(mpm) or desc(bug) 1.812438 1.860977 date(2015) or branch(default) 0.968276 1.005824 author(mpm) or desc(bug) or date(2015) or extra(rebase_source) 3.656193 3.743381 Once lazy parsing is implemented, these revsets will all be faster than before. There is no performance change on revsets that do not access this data. There /could/ be a performance regression on operations that perform several changelog reads. However, I can't think of anything outside of revsets and `hg log` (basically the same as a revset) that would be impacted.

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ancestor.py
361 lines | 12.1 KiB | text/x-python | PythonLexer
# 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 version 2 or any later version.
from __future__ import absolute_import
import collections
import heapq
from .node import nullrev
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
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)
gca = commonancestorsheads(pfunc, *orignodes)
if len(gca) <= 1:
return gca
return deepest(gca)
class incrementalmissingancestors(object):
'''persistent state used to calculate missing ancestors incrementally
Although similar in spirit to lazyancestors below, this is a separate class
because trying to support contains and missingancestors operations with the
same internal data structures adds needless complexity.'''
def __init__(self, pfunc, bases):
self.bases = set(bases)
if not self.bases:
self.bases.add(nullrev)
self.pfunc = pfunc
def hasbases(self):
'''whether the common set has any non-trivial bases'''
return self.bases and self.bases != set([nullrev])
def addbases(self, newbases):
'''grow the ancestor set by adding new bases'''
self.bases.update(newbases)
def removeancestorsfrom(self, revs):
'''remove all ancestors of bases from the set revs (in place)'''
bases = self.bases
pfunc = self.pfunc
revs.difference_update(bases)
# nullrev is always an ancestor
revs.discard(nullrev)
if not revs:
return
# anything in revs > start is definitely not an ancestor of bases
# revs <= start needs to be investigated
start = max(bases)
keepcount = sum(1 for r in revs if r > start)
if len(revs) == keepcount:
# no revs to consider
return
for curr in xrange(start, min(revs) - 1, -1):
if curr not in bases:
continue
revs.discard(curr)
bases.update(pfunc(curr))
if len(revs) == keepcount:
# no more potential revs to discard
break
def missingancestors(self, revs):
'''return all the ancestors of revs that are not ancestors of self.bases
This may include elements from revs.
Equivalent to the revset (::revs - ::self.bases). Revs are returned in
revision number order, which is a topological order.'''
revsvisit = set(revs)
basesvisit = self.bases
pfunc = self.pfunc
bothvisit = revsvisit.intersection(basesvisit)
revsvisit.difference_update(bothvisit)
if not revsvisit:
return []
start = max(max(revsvisit), max(basesvisit))
# 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. bothvisit and
# revsvisit are mutually exclusive, but bothvisit is a subset of
# basesvisit.
# 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
# revsvisit and added to bothvisit. 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 through
# another path
for p in pfunc(curr):
revsvisit.discard(p)
basesvisit.add(p)
bothvisit.add(p)
continue
if curr in revsvisit:
missing.append(curr)
revsvisit.remove(curr)
thisvisit = revsvisit
othervisit = basesvisit
elif curr in basesvisit:
thisvisit = basesvisit
othervisit = revsvisit
else:
# not an ancestor of revs or bases: ignore
continue
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.add(p)
bothvisit.add(p)
else:
# visit later
thisvisit.add(p)
missing.reverse()
return missing
class lazyancestors(object):
def __init__(self, pfunc, revs, stoprev=0, inclusive=False):
"""Create a new object generating ancestors for the given revs. Does
not generate revs lower than stoprev.
This is computed lazily starting from revs. The object supports
iteration and membership.
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 = pfunc
self._initrevs = revs
self._stoprev = stoprev
self._inclusive = inclusive
# 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()
def __nonzero__(self):
"""False if the set is empty, True otherwise."""
try:
iter(self).next()
return True
except StopIteration:
return False
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 = collections.deque(revs)
see = seen.add
schedule = visit.append
while visit:
for parent in parentrevs(visit.popleft()):
if parent >= stoprev and parent not in seen:
schedule(parent)
see(parent)
yield parent
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
see = seen.add
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)
see(parent)
if parent == target:
targetseen = True
return targetseen