Mercurial > hg
view mercurial/hbisect.py @ 18796:fa6d5c62f3bd
pathcomplete: complete directories more conservatively
Suppose we want to perform a single-level completion (i.e. without
--full) of "fi" in a repo containing "fee", "fie/dead", "fie/live",
and "foe".
If we give back "fie/" as the only answer, the shell will consider
the completion to be unambiguous, and will append a space after the
completion. We can't complete "fie/live" or "fie/dead" without
first backspacing over that space.
We used to thus create two fake names, "fie/a" and "fie/b", to force
the shell to consider the completion to be ambiguous. It would then
stop at "fie/" without appending a space, allowing us to hit tab
again to complete "fie/live" or "fie/dead".
The change here arises from realising that we only need to force
the shell to consider a completion as ambiguous if we have exactly
one directory and zero files as possible completions.
This prevents spurious names from showing up as possible completions
when they don't need to be invented in the first place.
author | Bryan O'Sullivan <bryano@fb.com> |
---|---|
date | Thu, 21 Mar 2013 22:10:54 -0700 |
parents | 07771e233cf1 |
children | 1e5b38a919dd 06ef32c3b4bb |
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# changelog bisection for mercurial # # Copyright 2007 Matt Mackall # Copyright 2005, 2006 Benoit Boissinot <benoit.boissinot@ens-lyon.org> # # Inspired by git bisect, extension skeleton taken from mq.py. # # This software may be used and distributed according to the terms of the # GNU General Public License version 2 or any later version. import os, error from i18n import _ from node import short, hex import util def bisect(changelog, state): """find the next node (if any) for testing during a bisect search. returns a (nodes, number, good) tuple. 'nodes' is the final result of the bisect if 'number' is 0. Otherwise 'number' indicates the remaining possible candidates for the search and 'nodes' contains the next bisect target. 'good' is True if bisect is searching for a first good changeset, False if searching for a first bad one. """ clparents = changelog.parentrevs skip = set([changelog.rev(n) for n in state['skip']]) def buildancestors(bad, good): # only the earliest bad revision matters badrev = min([changelog.rev(n) for n in bad]) goodrevs = [changelog.rev(n) for n in good] goodrev = min(goodrevs) # build visit array ancestors = [None] * (len(changelog) + 1) # an extra for [-1] # set nodes descended from goodrevs for rev in goodrevs: ancestors[rev] = [] for rev in changelog.revs(goodrev + 1): for prev in clparents(rev): if ancestors[prev] == []: ancestors[rev] = [] # clear good revs from array for rev in goodrevs: ancestors[rev] = None for rev in changelog.revs(len(changelog), goodrev): if ancestors[rev] is None: for prev in clparents(rev): ancestors[prev] = None if ancestors[badrev] is None: return badrev, None return badrev, ancestors good = False badrev, ancestors = buildancestors(state['bad'], state['good']) if not ancestors: # looking for bad to good transition? good = True badrev, ancestors = buildancestors(state['good'], state['bad']) bad = changelog.node(badrev) if not ancestors: # now we're confused if len(state['bad']) == 1 and len(state['good']) == 1: raise util.Abort(_("starting revisions are not directly related")) raise util.Abort(_("inconsistent state, %s:%s is good and bad") % (badrev, short(bad))) # build children dict children = {} visit = util.deque([badrev]) candidates = [] while visit: rev = visit.popleft() if ancestors[rev] == []: candidates.append(rev) for prev in clparents(rev): if prev != -1: if prev in children: children[prev].append(rev) else: children[prev] = [rev] visit.append(prev) candidates.sort() # have we narrowed it down to one entry? # or have all other possible candidates besides 'bad' have been skipped? tot = len(candidates) unskipped = [c for c in candidates if (c not in skip) and (c != badrev)] if tot == 1 or not unskipped: return ([changelog.node(rev) for rev in candidates], 0, good) perfect = tot // 2 # find the best node to test best_rev = None best_len = -1 poison = set() for rev in candidates: if rev in poison: # poison children poison.update(children.get(rev, [])) continue a = ancestors[rev] or [rev] ancestors[rev] = None x = len(a) # number of ancestors y = tot - x # number of non-ancestors value = min(x, y) # how good is this test? if value > best_len and rev not in skip: best_len = value best_rev = rev if value == perfect: # found a perfect candidate? quit early break if y < perfect and rev not in skip: # all downhill from here? # poison children poison.update(children.get(rev, [])) continue for c in children.get(rev, []): if ancestors[c]: ancestors[c] = list(set(ancestors[c] + a)) else: ancestors[c] = a + [c] assert best_rev is not None best_node = changelog.node(best_rev) return ([best_node], tot, good) def load_state(repo): state = {'current': [], 'good': [], 'bad': [], 'skip': []} if os.path.exists(repo.join("bisect.state")): for l in repo.opener("bisect.state"): kind, node = l[:-1].split() node = repo.lookup(node) if kind not in state: raise util.Abort(_("unknown bisect kind %s") % kind) state[kind].append(node) return state def save_state(repo, state): f = repo.opener("bisect.state", "w", atomictemp=True) wlock = repo.wlock() try: for kind in sorted(state): for node in state[kind]: f.write("%s %s\n" % (kind, hex(node))) f.close() finally: wlock.release() def get(repo, status): """ Return a list of revision(s) that match the given status: - ``good``, ``bad``, ``skip``: csets explicitly marked as good/bad/skip - ``goods``, ``bads`` : csets topologically good/bad - ``range`` : csets taking part in the bisection - ``pruned`` : csets that are goods, bads or skipped - ``untested`` : csets whose fate is yet unknown - ``ignored`` : csets ignored due to DAG topology - ``current`` : the cset currently being bisected """ state = load_state(repo) if status in ('good', 'bad', 'skip', 'current'): return map(repo.changelog.rev, state[status]) else: # In the following sets, we do *not* call 'bisect()' with more # than one level of recursion, because that can be very, very # time consuming. Instead, we always develop the expression as # much as possible. # 'range' is all csets that make the bisection: # - have a good ancestor and a bad descendant, or conversely # that's because the bisection can go either way range = '( bisect(bad)::bisect(good) | bisect(good)::bisect(bad) )' _t = repo.revs('bisect(good)::bisect(bad)') # The sets of topologically good or bad csets if len(_t) == 0: # Goods are topologically after bads goods = 'bisect(good)::' # Pruned good csets bads = '::bisect(bad)' # Pruned bad csets else: # Goods are topologically before bads goods = '::bisect(good)' # Pruned good csets bads = 'bisect(bad)::' # Pruned bad csets # 'pruned' is all csets whose fate is already known: good, bad, skip skips = 'bisect(skip)' # Pruned skipped csets pruned = '( (%s) | (%s) | (%s) )' % (goods, bads, skips) # 'untested' is all cset that are- in 'range', but not in 'pruned' untested = '( (%s) - (%s) )' % (range, pruned) # 'ignored' is all csets that were not used during the bisection # due to DAG topology, but may however have had an impact. # E.g., a branch merged between bads and goods, but whose branch- # point is out-side of the range. iba = '::bisect(bad) - ::bisect(good)' # Ignored bads' ancestors iga = '::bisect(good) - ::bisect(bad)' # Ignored goods' ancestors ignored = '( ( (%s) | (%s) ) - (%s) )' % (iba, iga, range) if status == 'range': return repo.revs(range) elif status == 'pruned': return repo.revs(pruned) elif status == 'untested': return repo.revs(untested) elif status == 'ignored': return repo.revs(ignored) elif status == "goods": return repo.revs(goods) elif status == "bads": return repo.revs(bads) else: raise error.ParseError(_('invalid bisect state')) def label(repo, node): rev = repo.changelog.rev(node) # Try explicit sets if rev in get(repo, 'good'): # i18n: bisect changeset status return _('good') if rev in get(repo, 'bad'): # i18n: bisect changeset status return _('bad') if rev in get(repo, 'skip'): # i18n: bisect changeset status return _('skipped') if rev in get(repo, 'untested') or rev in get(repo, 'current'): # i18n: bisect changeset status return _('untested') if rev in get(repo, 'ignored'): # i18n: bisect changeset status return _('ignored') # Try implicit sets if rev in get(repo, 'goods'): # i18n: bisect changeset status return _('good (implicit)') if rev in get(repo, 'bads'): # i18n: bisect changeset status return _('bad (implicit)') return None def shortlabel(label): if label: return label[0].upper() return None