mercurial/ancestor.py
author Matt Mackall <mpm@selenic.com>
Mon, 08 Jun 2015 15:10:15 -0500
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tests: simplify printenv calls Make printenv executable so that we don't need python, TESTDIR, or quoting.
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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 collections
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import heapq
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from node import nullrev
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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 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 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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                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 = 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(object):
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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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   142
    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 != set([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 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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   173
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        for curr in xrange(start, min(revs) - 1, -1):
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            if curr not in bases:
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   176
                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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   181
                break
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   182
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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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   185
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   186
        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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   189
        revision number order, which is a topological order.'''
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   190
        revsvisit = set(revs)
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   191
        basesvisit = self.bases
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   192
        pfunc = self.pfunc
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   193
        bothvisit = revsvisit.intersection(basesvisit)
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   194
        revsvisit.difference_update(bothvisit)
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   195
        if not revsvisit:
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   196
            return []
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   197
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   198
        start = max(max(revsvisit), max(basesvisit))
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   199
        # At this point, we hold the invariants that:
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   200
        # - revsvisit is the set of nodes we know are an ancestor of at least
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   201
        #   one of the nodes in revs
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   202
        # - basesvisit is the same for bases
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   203
        # - bothvisit is the set of nodes we know are ancestors of at least one
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   204
        #   of the nodes in revs and one of the nodes in bases. bothvisit and
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   205
        #   revsvisit are mutually exclusive, but bothvisit is a subset of
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   206
        #   basesvisit.
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   207
        # Now we walk down in reverse topo order, adding parents of nodes
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   208
        # already visited to the sets while maintaining the invariants. When a
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diff changeset
   209
        # node is found in both revsvisit and basesvisit, it is removed from
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   210
        # revsvisit and added to bothvisit. When revsvisit becomes empty, there
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diff changeset
   211
        # are no more ancestors of revs that aren't also ancestors of bases, so
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   212
        # exit.
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   213
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   214
        missing = []
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   215
        for curr in xrange(start, nullrev, -1):
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diff changeset
   216
            if not revsvisit:
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   217
                break
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   218
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   219
            if curr in bothvisit:
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   220
                bothvisit.remove(curr)
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   221
                # curr's parents might have made it into revsvisit through
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   222
                # another path
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   223
                for p in pfunc(curr):
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   224
                    revsvisit.discard(p)
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   225
                    basesvisit.add(p)
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   226
                    bothvisit.add(p)
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   227
                continue
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   228
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   229
            if curr in revsvisit:
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   230
                missing.append(curr)
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   231
                revsvisit.remove(curr)
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   232
                thisvisit = revsvisit
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   233
                othervisit = basesvisit
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   234
            elif curr in basesvisit:
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   235
                thisvisit = basesvisit
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   236
                othervisit = revsvisit
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   237
            else:
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   238
                # not an ancestor of revs or bases: ignore
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   239
                continue
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   240
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   241
            for p in pfunc(curr):
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   242
                if p == nullrev:
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   243
                    pass
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   244
                elif p in othervisit or p in bothvisit:
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   245
                    # p is implicitly in thisvisit. This means p is or should be
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   246
                    # in bothvisit
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   247
                    revsvisit.discard(p)
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   248
                    basesvisit.add(p)
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   249
                    bothvisit.add(p)
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   250
                else:
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   251
                    # visit later
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   252
                    thisvisit.add(p)
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   253
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   254
        missing.reverse()
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   255
        return missing
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diff changeset
   256
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class lazyancestors(object):
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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 = 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 __nonzero__(self):
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        """False if the set is empty, True otherwise."""
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        try:
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            iter(self).next()
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            return True
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        except StopIteration:
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            return False
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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 = collections.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