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# ancestor.py - generic DAG ancestor algorithm for mercurial
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#
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# Copyright 2006 Olivia Mackall <olivia@selenic.com>
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#
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# This software may be used and distributed according to the terms of the
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# GNU General Public License version 2 or any later version.
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import heapq
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from .node import nullrev
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from . import (
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dagop,
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policy,
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)
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parsers = policy.importmod('parsers')
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def commonancestorsheads(pfunc, *nodes):
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"""Returns a set with the heads of all common ancestors of all nodes,
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heads(::nodes[0] and ::nodes[1] and ...) .
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pfunc must return a list of parent vertices for a given vertex.
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"""
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if not isinstance(nodes, set):
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nodes = set(nodes)
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if nullrev in nodes:
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return set()
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if len(nodes) <= 1:
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return nodes
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allseen = (1 << len(nodes)) - 1
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seen = [0] * (max(nodes) + 1)
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for i, n in enumerate(nodes):
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seen[n] = 1 << i
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poison = 1 << (i + 1)
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gca = set()
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interesting = len(nodes)
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nv = len(seen) - 1
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while nv >= 0 and interesting:
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v = nv
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nv -= 1
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if not seen[v]:
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continue
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sv = seen[v]
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if sv < poison:
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interesting -= 1
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if sv == allseen:
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gca.add(v)
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sv |= poison
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if v in nodes:
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# history is linear
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return {v}
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if sv < poison:
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for p in pfunc(v):
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sp = seen[p]
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if p == nullrev:
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continue
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if sp == 0:
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seen[p] = sv
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interesting += 1
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elif sp != sv:
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seen[p] |= sv
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else:
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for p in pfunc(v):
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if p == nullrev:
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continue
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sp = seen[p]
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if sp and sp < poison:
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interesting -= 1
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seen[p] = sv
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return gca
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def ancestors(pfunc, *orignodes):
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"""
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Returns the common ancestors of a and b that are furthest from a
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root (as measured by longest path).
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pfunc must return a list of parent vertices for a given vertex.
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"""
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def deepest(nodes):
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interesting = {}
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count = max(nodes) + 1
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depth = [0] * count
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seen = [0] * count
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mapping = []
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for i, n in enumerate(sorted(nodes)):
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depth[n] = 1
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b = 1 << i
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seen[n] = b
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interesting[b] = 1
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mapping.append((b, n))
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nv = count - 1
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while nv >= 0 and len(interesting) > 1:
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v = nv
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nv -= 1
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dv = depth[v]
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if dv == 0:
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continue
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sv = seen[v]
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for p in pfunc(v):
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if p == nullrev:
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continue
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dp = depth[p]
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sp = seen[p]
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if dp <= dv:
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depth[p] = dv + 1
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if sp != sv:
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interesting[sv] += 1
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seen[p] = sv
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if sp:
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interesting[sp] -= 1
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if interesting[sp] == 0:
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del interesting[sp]
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elif dv == dp - 1:
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nsp = sp | sv
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if nsp == sp:
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continue
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seen[p] = nsp
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interesting.setdefault(nsp, 0)
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interesting[nsp] += 1
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interesting[sp] -= 1
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if interesting[sp] == 0:
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del interesting[sp]
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interesting[sv] -= 1
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if interesting[sv] == 0:
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del interesting[sv]
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if len(interesting) != 1:
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return []
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k = 0
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for i in interesting:
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k |= i
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return {n for (i, n) in mapping if k & i}
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gca = commonancestorsheads(pfunc, *orignodes)
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if len(gca) <= 1:
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return gca
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return deepest(gca)
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class incrementalmissingancestors:
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"""persistent state used to calculate missing ancestors incrementally
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Although similar in spirit to lazyancestors below, this is a separate class
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because trying to support contains and missingancestors operations with the
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same internal data structures adds needless complexity."""
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def __init__(self, pfunc, bases):
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self.bases = set(bases)
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if not self.bases:
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self.bases.add(nullrev)
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self.pfunc = pfunc
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def hasbases(self):
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'''whether the common set has any non-trivial bases'''
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return self.bases and self.bases != {nullrev}
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def addbases(self, newbases):
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'''grow the ancestor set by adding new bases'''
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self.bases.update(newbases)
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def basesheads(self):
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return dagop.headrevs(self.bases, self.pfunc)
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def removeancestorsfrom(self, revs):
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'''remove all ancestors of bases from the set revs (in place)'''
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bases = self.bases
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pfunc = self.pfunc
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revs.difference_update(bases)
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# nullrev is always an ancestor
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revs.discard(nullrev)
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if not revs:
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return
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# anything in revs > start is definitely not an ancestor of bases
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# revs <= start needs to be investigated
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start = max(bases)
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keepcount = sum(1 for r in revs if r > start)
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if len(revs) == keepcount:
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# no revs to consider
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return
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for curr in range(start, min(revs) - 1, -1):
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if curr not in bases:
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continue
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revs.discard(curr)
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bases.update(pfunc(curr))
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if len(revs) == keepcount:
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# no more potential revs to discard
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break
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def missingancestors(self, revs):
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"""return all the ancestors of revs that are not ancestors of self.bases
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This may include elements from revs.
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Equivalent to the revset (::revs - ::self.bases). Revs are returned in
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revision number order, which is a topological order."""
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revsvisit = set(revs)
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basesvisit = self.bases
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pfunc = self.pfunc
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bothvisit = revsvisit.intersection(basesvisit)
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revsvisit.difference_update(bothvisit)
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if not revsvisit:
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return []
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start = max(max(revsvisit), max(basesvisit))
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# At this point, we hold the invariants that:
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# - revsvisit is the set of nodes we know are an ancestor of at least
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# one of the nodes in revs
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# - basesvisit is the same for bases
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# - bothvisit is the set of nodes we know are ancestors of at least one
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# of the nodes in revs and one of the nodes in bases. bothvisit and
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# revsvisit are mutually exclusive, but bothvisit is a subset of
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# basesvisit.
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# Now we walk down in reverse topo order, adding parents of nodes
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# already visited to the sets while maintaining the invariants. When a
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# node is found in both revsvisit and basesvisit, it is removed from
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# revsvisit and added to bothvisit. When revsvisit becomes empty, there
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# are no more ancestors of revs that aren't also ancestors of bases, so
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# exit.
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missing = []
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for curr in range(start, nullrev, -1):
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if not revsvisit:
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break
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if curr in bothvisit:
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bothvisit.remove(curr)
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# curr's parents might have made it into revsvisit through
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# another path
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for p in pfunc(curr):
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revsvisit.discard(p)
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basesvisit.add(p)
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bothvisit.add(p)
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continue
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if curr in revsvisit:
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missing.append(curr)
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revsvisit.remove(curr)
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thisvisit = revsvisit
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othervisit = basesvisit
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elif curr in basesvisit:
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thisvisit = basesvisit
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othervisit = revsvisit
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else:
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# not an ancestor of revs or bases: ignore
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continue
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for p in pfunc(curr):
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if p == nullrev:
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pass
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elif p in othervisit or p in bothvisit:
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# p is implicitly in thisvisit. This means p is or should be
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# in bothvisit
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revsvisit.discard(p)
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basesvisit.add(p)
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bothvisit.add(p)
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else:
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# visit later
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thisvisit.add(p)
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missing.reverse()
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return missing
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# Extracted from lazyancestors.__iter__ to avoid a reference cycle
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def _lazyancestorsiter(parentrevs, initrevs, stoprev, inclusive):
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seen = {nullrev}
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heappush = heapq.heappush
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heappop = heapq.heappop
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heapreplace = heapq.heapreplace
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see = seen.add
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if inclusive:
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visit = [-r for r in initrevs]
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seen.update(initrevs)
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heapq.heapify(visit)
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else:
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visit = []
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heapq.heapify(visit)
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for r in initrevs:
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p1, p2 = parentrevs(r)
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if p1 not in seen:
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heappush(visit, -p1)
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see(p1)
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if p2 not in seen:
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heappush(visit, -p2)
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see(p2)
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while visit:
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current = -visit[0]
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if current < stoprev:
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break
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yield current
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# optimize out heapq operation if p1 is known to be the next highest
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# revision, which is quite common in linear history.
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p1, p2 = parentrevs(current)
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if p1 not in seen:
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if current - p1 == 1:
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visit[0] = -p1
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else:
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heapreplace(visit, -p1)
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see(p1)
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else:
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heappop(visit)
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if p2 not in seen:
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heappush(visit, -p2)
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see(p2)
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class lazyancestors:
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def __init__(self, pfunc, revs, stoprev=0, inclusive=False):
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"""Create a new object generating ancestors for the given revs. Does
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not generate revs lower than stoprev.
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This is computed lazily starting from revs. The object supports
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iteration and membership.
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cl should be a changelog and revs should be an iterable. inclusive is
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a boolean that indicates whether revs should be included. Revs lower
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than stoprev will not be generated.
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Result does not include the null revision."""
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self._parentrevs = pfunc
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self._initrevs = [r for r in revs if r >= stoprev]
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self._stoprev = stoprev
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self._inclusive = inclusive
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self._containsseen = set()
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self._containsiter = _lazyancestorsiter(
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self._parentrevs, self._initrevs, self._stoprev, self._inclusive
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)
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def __nonzero__(self):
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"""False if the set is empty, True otherwise."""
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try:
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next(iter(self))
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return True
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except StopIteration:
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return False
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__bool__ = __nonzero__
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def __iter__(self):
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"""Generate the ancestors of _initrevs in reverse topological order.
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If inclusive is False, yield a sequence of revision numbers starting
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with the parents of each revision in revs, i.e., each revision is
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*not* considered an ancestor of itself. Results are emitted in reverse
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revision number order. That order is also topological: a child is
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always emitted before its parent.
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If inclusive is True, the source revisions are also yielded. The
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reverse revision number order is still enforced."""
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return _lazyancestorsiter(
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self._parentrevs, self._initrevs, self._stoprev, self._inclusive
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)
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def __contains__(self, target):
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"""Test whether target is an ancestor of self._initrevs."""
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seen = self._containsseen
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if target in seen:
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return True
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iter = self._containsiter
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if iter is None:
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# Iterator exhausted
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return False
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# Only integer target is valid, but some callers expect 'None in self'
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# to be False. So we explicitly allow it.
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if target is None:
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return False
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see = seen.add
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try:
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while True:
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rev = next(iter)
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see(rev)
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if rev == target:
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return True
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if rev < target:
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return False
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except StopIteration:
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# Set to None to indicate fast-path can be used next time, and to
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# free up memory.
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self._containsiter = None
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return False
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