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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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assert best_rev is not None
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best_node = changelog.node(best_rev)
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return ([best_node], tot, good)
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def load_state(repo):
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state = {'good': [], 'bad': [], 'skip': []}
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if os.path.exists(repo.join("bisect.state")):
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for l in repo.opener("bisect.state"):
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kind, node = l[:-1].split()
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node = repo.lookup(node)
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if kind not in state:
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raise util.Abort(_("unknown bisect kind %s") % kind)
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state[kind].append(node)
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return state
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def save_state(repo, state):
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f = repo.opener("bisect.state", "w", atomictemp=True)
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wlock = repo.wlock()
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try:
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for kind in state:
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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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def get(repo, status):
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"""
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Return a list of revision(s) that match the given status:
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- ``good``, ``bad``, ``skip``: csets explicitly marked as good/bad/skip
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- ``goods``, ``bads`` : csets topologicaly good/bad
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- ``range`` : csets taking part in the bisection
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- ``pruned`` : csets that are goods, bads or skipped
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- ``untested`` : csets whose fate is yet unknown
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- ``ignored`` : csets ignored due to DAG topology
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"""
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state = load_state(repo)
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if status in ('good', 'bad', 'skip'):
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return [repo.changelog.rev(n) for n in state[status]]
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else:
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# In the floowing sets, we do *not* call 'bisect()' with more
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# than one level of recusrsion, because that can be very, very
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# time consuming. Instead, we always develop the expression as
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# much as possible.
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# 'range' is all csets that make the bisection:
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# - have a good ancestor and a bad descendant, or conversely
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# that's because the bisection can go either way
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range = '( bisect(bad)::bisect(good) | bisect(good)::bisect(bad) )'
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_t = [c.rev() for c in repo.set('bisect(good)::bisect(bad)')]
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# The sets of topologically good or bad csets
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if len(_t) == 0:
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# Goods are topologically after bads
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goods = 'bisect(good)::' # Pruned good csets
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bads = '::bisect(bad)' # Pruned bad csets
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else:
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# Goods are topologically before bads
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goods = '::bisect(good)' # Pruned good csets
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bads = 'bisect(bad)::' # Pruned bad csets
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# 'pruned' is all csets whose fate is already known: good, bad, skip
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skips = 'bisect(skip)' # Pruned skipped csets
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pruned = '( (%s) | (%s) | (%s) )' % (goods, bads, skips)
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# 'untested' is all cset that are- in 'range', but not in 'pruned'
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untested = '( (%s) - (%s) )' % (range, pruned)
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# 'ignored' is all csets that were not used during the bisection
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# due to DAG topology, but may however have had an impact.
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# Eg., a branch merged between bads and goods, but whose branch-
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# point is out-side of the range.
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iba = '::bisect(bad) - ::bisect(good)' # Ignored bads' ancestors
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iga = '::bisect(good) - ::bisect(bad)' # Ignored goods' ancestors
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ignored = '( ( (%s) | (%s) ) - (%s) )' % (iba, iga, range)
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if status == 'range':
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return [c.rev() for c in repo.set(range)]
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elif status == 'pruned':
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return [c.rev() for c in repo.set(pruned)]
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elif status == 'untested':
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return [c.rev() for c in repo.set(untested)]
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elif status == 'ignored':
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return [c.rev() for c in repo.set(ignored)]
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elif status == "goods":
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return [c.rev() for c in repo.set(goods)]
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elif status == "bads":
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return [c.rev() for c in repo.set(bads)]
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else:
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raise error.ParseError(_('invalid bisect state'))
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def label(repo, node, short=False):
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rev = repo.changelog.rev(node)
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# Try explicit sets
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if rev in get(repo, 'good'):
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# i18n: bisect changeset status
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return _('good')
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if rev in get(repo, 'bad'):
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# 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
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