##// END OF EJS Templates
largefiles: don't copy largefiles from working dir to the store while converting...
largefiles: don't copy largefiles from working dir to the store while converting Previously, if one or more largefiles for a repo being converted were not in the usercache, the convert would abort with a reference to the largefile being missing (as opposed to the previous patch, where the standin was referenced as missing). This is because commitctx() tries to copy all largefiles to the local store, first from the user cache, and if the file isn't found there, from the working directory. No files will exist in the working directory during a convert, however. It is not sufficient to force the source repo to be local before proceeding, because clone and pull do not download largefiles by default. This is slightly less than ideal because while the conversion will now complete, it won't be possible to update to revs with missing largefiles unless the user intervenes manually, because there is no default path pointing back to the source repo. Ideally these files would be cached during the conversion. This check could have been done in reposetup.commitctx() instead, but this ensures the local store directory is created, which is necessary to enable the standin matcher. The rm -> 'rm -f' change in the test is to temporarily suppress an error clearing the cache- as noted, the cache is is not repopulated during convert. When that is fixed, this can be changed back and the verification errors will disappear too.

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dagutil.py
277 lines | 8.0 KiB | text/x-python | PythonLexer
Peter Arrenbrecht
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r14164 # dagutil.py - dag utilities for mercurial
#
# Copyright 2010 Benoit Boissinot <bboissin@gmail.com>
# and Peter Arrenbrecht <peter@arrenbrecht.ch>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
from node import nullrev
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r14634 from i18n import _
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class basedag(object):
'''generic interface for DAGs
terms:
"ix" (short for index) identifies a nodes internally,
"id" identifies one externally.
All params are ixs unless explicitly suffixed otherwise.
Pluralized params are lists or sets.
'''
def __init__(self):
self._inverse = None
def nodeset(self):
'''set of all node idxs'''
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def heads(self):
'''list of head ixs'''
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def parents(self, ix):
'''list of parents ixs of ix'''
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def inverse(self):
'''inverse DAG, where parents becomes children, etc.'''
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def ancestorset(self, starts, stops=None):
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set of all ancestors of starts (incl), but stop walk at stops (excl)
'''
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def descendantset(self, starts, stops=None):
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set of all descendants of starts (incl), but stop walk at stops (excl)
'''
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r14164 return self.inverse().ancestorset(starts, stops)
def headsetofconnecteds(self, ixs):
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r14206 '''
subset of connected list of ixs so that no node has a descendant in it
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By "connected list" we mean that if an ancestor and a descendant are in
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r14206 the list, then so is at least one path connecting them.
'''
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def externalize(self, ix):
'''return a list of (or set if given a set) of node ids'''
return self._externalize(ix)
def externalizeall(self, ixs):
'''return a list of (or set if given a set) of node ids'''
ids = self._externalizeall(ixs)
if isinstance(ixs, set):
return set(ids)
return list(ids)
def internalize(self, id):
'''return a list of (or set if given a set) of node ixs'''
return self._internalize(id)
def internalizeall(self, ids, filterunknown=False):
'''return a list of (or set if given a set) of node ids'''
ixs = self._internalizeall(ids, filterunknown)
if isinstance(ids, set):
return set(ixs)
return list(ixs)
class genericdag(basedag):
'''generic implementations for DAGs'''
def ancestorset(self, starts, stops=None):
stops = stops and set(stops) or set()
seen = set()
pending = list(starts)
while pending:
n = pending.pop()
if n not in seen and n not in stops:
seen.add(n)
pending.extend(self.parents(n))
return seen
def headsetofconnecteds(self, ixs):
hds = set(ixs)
if not hds:
return hds
for n in ixs:
for p in self.parents(n):
hds.discard(p)
assert hds
return hds
class revlogbaseddag(basedag):
'''generic dag interface to a revlog'''
def __init__(self, revlog, nodeset):
basedag.__init__(self)
self._revlog = revlog
self._heads = None
self._nodeset = nodeset
def nodeset(self):
return self._nodeset
def heads(self):
if self._heads is None:
self._heads = self._getheads()
return self._heads
def _externalize(self, ix):
return self._revlog.index[ix][7]
def _externalizeall(self, ixs):
idx = self._revlog.index
return [idx[i][7] for i in ixs]
def _internalize(self, id):
ix = self._revlog.rev(id)
if ix == nullrev:
raise LookupError(id, self._revlog.indexfile, _('nullid'))
return ix
def _internalizeall(self, ids, filterunknown):
rl = self._revlog
if filterunknown:
return [r for r in map(rl.nodemap.get, ids)
if r is not None and r != nullrev]
return map(self._internalize, ids)
class revlogdag(revlogbaseddag):
'''dag interface to a revlog'''
def __init__(self, revlog):
revlogbaseddag.__init__(self, revlog, set(xrange(len(revlog))))
def _getheads(self):
return [r for r in self._revlog.headrevs() if r != nullrev]
def parents(self, ix):
rlog = self._revlog
idx = rlog.index
revdata = idx[ix]
prev = revdata[5]
if prev != nullrev:
prev2 = revdata[6]
if prev2 == nullrev:
return [prev]
return [prev, prev2]
prev2 = revdata[6]
if prev2 != nullrev:
return [prev2]
return []
def inverse(self):
if self._inverse is None:
self._inverse = inverserevlogdag(self)
return self._inverse
def ancestorset(self, starts, stops=None):
rlog = self._revlog
idx = rlog.index
stops = stops and set(stops) or set()
seen = set()
pending = list(starts)
while pending:
rev = pending.pop()
if rev not in seen and rev not in stops:
seen.add(rev)
revdata = idx[rev]
for i in [5, 6]:
prev = revdata[i]
if prev != nullrev:
pending.append(prev)
return seen
def headsetofconnecteds(self, ixs):
if not ixs:
return set()
rlog = self._revlog
idx = rlog.index
headrevs = set(ixs)
for rev in ixs:
revdata = idx[rev]
for i in [5, 6]:
prev = revdata[i]
if prev != nullrev:
headrevs.discard(prev)
assert headrevs
return headrevs
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revlogdag: add linearize function...
r14364 def linearize(self, ixs):
'''linearize and topologically sort a list of revisions
The linearization process tries to create long runs of revs where
a child rev comes immediately after its first parent. This is done by
visiting the heads of the given revs in inverse topological order,
and for each visited rev, visiting its second parent, then its first
parent, then adding the rev itself to the output list.
'''
sorted = []
visit = list(self.headsetofconnecteds(ixs))
visit.sort(reverse=True)
finished = set()
while visit:
cur = visit.pop()
if cur < 0:
cur = -cur - 1
if cur not in finished:
sorted.append(cur)
finished.add(cur)
else:
visit.append(-cur - 1)
visit += [p for p in self.parents(cur)
if p in ixs and p not in finished]
assert len(sorted) == len(ixs)
return sorted
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class inverserevlogdag(revlogbaseddag, genericdag):
'''inverse of an existing revlog dag; see revlogdag.inverse()'''
def __init__(self, orig):
revlogbaseddag.__init__(self, orig._revlog, orig._nodeset)
self._orig = orig
self._children = {}
self._roots = []
self._walkfrom = len(self._revlog) - 1
def _walkto(self, walkto):
rev = self._walkfrom
cs = self._children
roots = self._roots
idx = self._revlog.index
while rev >= walkto:
data = idx[rev]
isroot = True
for prev in [data[5], data[6]]: # parent revs
if prev != nullrev:
cs.setdefault(prev, []).append(rev)
isroot = False
if isroot:
roots.append(rev)
rev -= 1
Peter Arrenbrecht
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r15052 self._walkfrom = rev
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def _getheads(self):
self._walkto(nullrev)
return self._roots
def parents(self, ix):
if ix is None:
return []
if ix <= self._walkfrom:
self._walkto(ix)
return self._children.get(ix, [])
def inverse(self):
return self._orig