mercurial/hbisect.py
author Andrei Polushin <polushin@gmail.com>
Mon, 09 Jan 2012 02:32:01 +0700
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permissions -rw-r--r--
i18n-ru: spellcheck
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# changelog bisection for mercurial
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#
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# Copyright 2007 Matt Mackall
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# Copyright 2005, 2006 Benoit Boissinot <benoit.boissinot@ens-lyon.org>
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#
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# Inspired by git bisect, extension skeleton taken from mq.py.
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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 os, error
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from i18n import _
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from node import short, hex
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import util
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def bisect(changelog, state):
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    """find the next node (if any) for testing during a bisect search.
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    returns a (nodes, number, good) tuple.
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    'nodes' is the final result of the bisect if 'number' is 0.
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    Otherwise 'number' indicates the remaining possible candidates for
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    the search and 'nodes' contains the next bisect target.
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    'good' is True if bisect is searching for a first good changeset, False
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    if searching for a first bad one.
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    """
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    clparents = changelog.parentrevs
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    skip = set([changelog.rev(n) for n in state['skip']])
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    def buildancestors(bad, good):
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        # only the earliest bad revision matters
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        badrev = min([changelog.rev(n) for n in bad])
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        goodrevs = [changelog.rev(n) for n in good]
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        goodrev = min(goodrevs)
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        # build visit array
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        ancestors = [None] * (len(changelog) + 1) # an extra for [-1]
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        # set nodes descended from goodrevs
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        for rev in goodrevs:
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            ancestors[rev] = []
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        for rev in xrange(goodrev + 1, len(changelog)):
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            for prev in clparents(rev):
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                if ancestors[prev] == []:
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                    ancestors[rev] = []
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        # clear good revs from array
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        for rev in goodrevs:
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            ancestors[rev] = None
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        for rev in xrange(len(changelog), goodrev, -1):
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            if ancestors[rev] is None:
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                for prev in clparents(rev):
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                    ancestors[prev] = None
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        if ancestors[badrev] is None:
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            return badrev, None
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        return badrev, ancestors
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    good = False
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    badrev, ancestors = buildancestors(state['bad'], state['good'])
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    if not ancestors: # looking for bad to good transition?
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        good = True
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        badrev, ancestors = buildancestors(state['good'], state['bad'])
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    bad = changelog.node(badrev)
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    if not ancestors: # now we're confused
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        if len(state['bad']) == 1 and len(state['good']) == 1:
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            raise util.Abort(_("starting revisions are not directly related"))
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        raise util.Abort(_("inconsistent state, %s:%s is good and bad")
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                         % (badrev, short(bad)))
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    # build children dict
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    children = {}
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    visit = [badrev]
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    candidates = []
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    while visit:
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        rev = visit.pop(0)
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        if ancestors[rev] == []:
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            candidates.append(rev)
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            for prev in clparents(rev):
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                if prev != -1:
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                    if prev in children:
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                        children[prev].append(rev)
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                    else:
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                        children[prev] = [rev]
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                        visit.append(prev)
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    candidates.sort()
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    # have we narrowed it down to one entry?
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    # or have all other possible candidates besides 'bad' have been skipped?
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    tot = len(candidates)
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    unskipped = [c for c in candidates if (c not in skip) and (c != badrev)]
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    if tot == 1 or not unskipped:
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        return ([changelog.node(rev) for rev in candidates], 0, good)
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    perfect = tot // 2
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    # find the best node to test
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    best_rev = None
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    best_len = -1
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    poison = set()
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    for rev in candidates:
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        if rev in poison:
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            # poison children
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            poison.update(children.get(rev, []))
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            continue
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        a = ancestors[rev] or [rev]
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        ancestors[rev] = None
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        x = len(a) # number of ancestors
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        y = tot - x # number of non-ancestors
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        value = min(x, y) # how good is this test?
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        if value > best_len and rev not in skip:
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            best_len = value
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            best_rev = rev
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            if value == perfect: # found a perfect candidate? quit early
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                break
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        if y < perfect and rev not in skip: # all downhill from here?
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            # poison children
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            poison.update(children.get(rev, []))
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            continue
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        for c in children.get(rev, []):
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            if ancestors[c]:
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                ancestors[c] = list(set(ancestors[c] + a))
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            else:
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                ancestors[c] = a + [c]
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   128
    assert best_rev is not None
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   129
    best_node = changelog.node(best_rev)
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parents:
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   130
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8f256bf98219 Add support for multiple possible bisect results (issue1228, issue1182)
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   131
    return ([best_node], tot, good)
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   132
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   133
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   134
def load_state(repo):
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   135
    state = {'good': [], 'bad': [], 'skip': []}
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   136
    if os.path.exists(repo.join("bisect.state")):
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   137
        for l in repo.opener("bisect.state"):
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   138
            kind, node = l[:-1].split()
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   139
            node = repo.lookup(node)
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   140
            if kind not in state:
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   141
                raise util.Abort(_("unknown bisect kind %s") % kind)
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   142
            state[kind].append(node)
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   143
    return state
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   145
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   146
def save_state(repo, state):
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    f = repo.opener("bisect.state", "w", atomictemp=True)
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   148
    wlock = repo.wlock()
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   149
    try:
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   150
        for kind in state:
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   151
            for node in state[kind]:
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                f.write("%s %s\n" % (kind, hex(node)))
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        f.close()
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    finally:
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        wlock.release()
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   156
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   157
def get(repo, status):
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   158
    """
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   159
    Return a list of revision(s) that match the given status:
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   160
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   161
    - ``good``, ``bad``, ``skip``: csets explicitly marked as good/bad/skip
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   162
    - ``goods``, ``bads``      : csets topologicaly good/bad
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   163
    - ``range``              : csets taking part in the bisection
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   164
    - ``pruned``             : csets that are goods, bads or skipped
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   165
    - ``untested``           : csets whose fate is yet unknown
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   166
    - ``ignored``            : csets ignored due to DAG topology
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   167
    """
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   168
    state = load_state(repo)
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   169
    if status in ('good', 'bad', 'skip'):
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   170
        return [repo.changelog.rev(n) for n in state[status]]
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   171
    else:
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   172
        # In the floowing sets, we do *not* call 'bisect()' with more
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   173
        # than one level of recusrsion, because that can be very, very
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   174
        # time consuming. Instead, we always develop the expression as
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   175
        # much as possible.
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   176
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   177
        # 'range' is all csets that make the bisection:
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   178
        #   - have a good ancestor and a bad descendant, or conversely
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   179
        # that's because the bisection can go either way
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   180
        range = '( bisect(bad)::bisect(good) | bisect(good)::bisect(bad) )'
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   181
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   182
        _t = repo.revs('bisect(good)::bisect(bad)')
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   183
        # The sets of topologically good or bad csets
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   184
        if len(_t) == 0:
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   185
            # Goods are topologically after bads
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   186
            goods = 'bisect(good)::'    # Pruned good csets
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   187
            bads  = '::bisect(bad)'     # Pruned bad csets
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   188
        else:
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   189
            # Goods are topologically before bads
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   190
            goods = '::bisect(good)'    # Pruned good csets
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   191
            bads  = 'bisect(bad)::'     # Pruned bad csets
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   192
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   193
        # 'pruned' is all csets whose fate is already known: good, bad, skip
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   194
        skips = 'bisect(skip)'                 # Pruned skipped csets
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   195
        pruned = '( (%s) | (%s) | (%s) )' % (goods, bads, skips)
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   196
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   197
        # 'untested' is all cset that are- in 'range', but not in 'pruned'
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   198
        untested = '( (%s) - (%s) )' % (range, pruned)
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   199
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   200
        # 'ignored' is all csets that were not used during the bisection
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   201
        # due to DAG topology, but may however have had an impact.
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   202
        # Eg., a branch merged between bads and goods, but whose branch-
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   203
        # point is out-side of the range.
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   204
        iba = '::bisect(bad) - ::bisect(good)'  # Ignored bads' ancestors
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   205
        iga = '::bisect(good) - ::bisect(bad)'  # Ignored goods' ancestors
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   206
        ignored = '( ( (%s) | (%s) ) - (%s) )' % (iba, iga, range)
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   207
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   208
        if status == 'range':
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   209
            return repo.revs(range)
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   210
        elif status == 'pruned':
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   211
            return repo.revs(pruned)
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   212
        elif status == 'untested':
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   213
            return repo.revs(untested)
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   214
        elif status == 'ignored':
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diff changeset
   215
            return repo.revs(ignored)
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   216
        elif status == "goods":
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   217
            return repo.revs(goods)
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   218
        elif status == "bads":
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   219
            return repo.revs(bads)
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   220
        else:
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   221
            raise error.ParseError(_('invalid bisect state'))
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   222
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   223
def label(repo, node):
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   224
    rev = repo.changelog.rev(node)
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   225
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   226
    # Try explicit sets
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   227
    if rev in get(repo, 'good'):
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   228
        # i18n: bisect changeset status
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   229
        return _('good')
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   230
    if rev in get(repo, 'bad'):
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   231
        # i18n: bisect changeset status
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        return _('bad')
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    if rev in get(repo, 'skip'):
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        # i18n: bisect changeset status
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        return _('skipped')
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    if rev in get(repo, 'untested'):
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        # i18n: bisect changeset status
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        return _('untested')
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    if rev in get(repo, 'ignored'):
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        # i18n: bisect changeset status
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        return _('ignored')
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    # Try implicit sets
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    if rev in get(repo, 'goods'):
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        # i18n: bisect changeset status
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        return _('good (implicit)')
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    if rev in get(repo, 'bads'):
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        # i18n: bisect changeset status
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        return _('bad (implicit)')
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    return None
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def shortlabel(label):
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    if label:
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        return label[0].upper()
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    return None