mercurial/ancestor.py
author Mads Kiilerich <madski@unity3d.com>
Wed, 19 Mar 2014 00:13:38 +0100
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# ancestor.py - generic DAG ancestor algorithm for mercurial
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#
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# Copyright 2006 Matt Mackall <mpm@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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import util
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from node import nullrev
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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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    if not isinstance(orignodes, set):
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        orignodes = set(orignodes)
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    if nullrev in orignodes:
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        return set()
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    if len(orignodes) <= 1:
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        return orignodes
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    def candidates(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 set([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 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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                nsp = 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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                        nsp = 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 set(n for (i, n) in mapping if k & i)
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    gca = candidates(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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def missingancestors(revs, bases, pfunc):
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    """Return all the ancestors of revs that are not ancestors of bases.
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    This may include elements from revs.
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    Equivalent to the revset (::revs - ::bases). Revs are returned in
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    revision number order, which is a topological order.
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    revs and bases should both be iterables. pfunc must return a list of
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    parent revs for a given revs.
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    """
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    revsvisit = set(revs)
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    basesvisit = set(bases)
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    if not revsvisit:
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        return []
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    if not basesvisit:
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        basesvisit.add(nullrev)
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    start = max(max(revsvisit), max(basesvisit))
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    bothvisit = revsvisit.intersection(basesvisit)
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    revsvisit.difference_update(bothvisit)
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    basesvisit.difference_update(bothvisit)
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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 one
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    #   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 of
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    #   the nodes in revs and one of the nodes in bases
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    # - a node may be in none or one, but not more, of revsvisit, basesvisit
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    #   and bothvisit at any given time
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    # Now we walk down in reverse topo order, adding parents of nodes already
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    # visited to the sets while maintaining the invariants. When a node is
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    # found in both revsvisit and basesvisit, it is removed from them and
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    # added to bothvisit instead. When revsvisit becomes empty, there are no
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    # more ancestors of revs that aren't also ancestors of bases, so exit.
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    missing = []
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    for curr in xrange(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 or basesvisit
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            # through another path
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            for p in pfunc(curr):
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                revsvisit.discard(p)
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                basesvisit.discard(p)
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                bothvisit.add(p)
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            continue
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        # curr will never be in both revsvisit and basesvisit, since if it
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        # were it'd have been pushed to bothvisit
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        if curr in revsvisit:
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            missing.append(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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        thisvisit.remove(curr)
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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.discard(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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class lazyancestors(object):
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    def __init__(self, cl, 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 = cl.parentrevs
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        self._initrevs = revs
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        self._stoprev = stoprev
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        self._inclusive = inclusive
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        # Initialize data structures for __contains__.
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        # For __contains__, we use a heap rather than a deque because
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        # (a) it minimizes the number of parentrevs calls made
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        # (b) it makes the loop termination condition obvious
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        # Python's heap is a min-heap. Multiply all values by -1 to convert it
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        # into a max-heap.
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        self._containsvisit = [-rev for rev in revs]
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        heapq.heapify(self._containsvisit)
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        if inclusive:
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            self._containsseen = set(revs)
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        else:
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            self._containsseen = set()
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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 *not*
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        considered an ancestor of itself.  Results are in breadth-first order:
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        parents of each rev in revs, then parents of those, etc.
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        If inclusive is True, yield all the revs first (ignoring stoprev),
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        then yield all the ancestors of revs as when inclusive is False.
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        If an element in revs is an ancestor of a different rev it is not
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        yielded again."""
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        seen = set()
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        revs = self._initrevs
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        if self._inclusive:
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            for rev in revs:
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                yield rev
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            seen.update(revs)
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        parentrevs = self._parentrevs
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        stoprev = self._stoprev
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        visit = util.deque(revs)
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        while visit:
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            for parent in parentrevs(visit.popleft()):
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                if parent >= stoprev and parent not in seen:
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                    visit.append(parent)
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                    seen.add(parent)
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                    yield parent
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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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        # Trying to do both __iter__ and __contains__ using the same visit
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        # heap and seen set is complex enough that it slows down both. Keep
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        # them separate.
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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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        parentrevs = self._parentrevs
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        visit = self._containsvisit
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        stoprev = self._stoprev
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        heappop = heapq.heappop
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        heappush = heapq.heappush
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        targetseen = False
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        while visit and -visit[0] > target and not targetseen:
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            for parent in parentrevs(-heappop(visit)):
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                if parent < stoprev or parent in seen:
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                    continue
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                # We need to make sure we push all parents into the heap so
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                # that we leave it in a consistent state for future calls.
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                heappush(visit, -parent)
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                seen.add(parent)
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                if parent == target:
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                    targetseen = True
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        return targetseen