Mercurial > hg
view mercurial/dagop.py @ 34532:b09b3eaf9c96
py3: work around the scope of exception variable in dispatch.run()
https://stackoverflow.com/questions/29268892/
author | Yuya Nishihara <yuya@tcha.org> |
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date | Mon, 02 Oct 2017 06:52:10 +0100 |
parents | c6c8a52e28c9 |
children | 0d27685b4a2f |
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# dagop.py - graph ancestry and topology algorithm for revset # # Copyright 2010 Matt Mackall <mpm@selenic.com> # # This software may be used and distributed according to the terms of the # GNU General Public License version 2 or any later version. from __future__ import absolute_import import heapq from . import ( error, mdiff, node, patch, smartset, ) baseset = smartset.baseset generatorset = smartset.generatorset # possible maximum depth between null and wdir() _maxlogdepth = 0x80000000 def _walkrevtree(pfunc, revs, startdepth, stopdepth, reverse): """Walk DAG using 'pfunc' from the given 'revs' nodes 'pfunc(rev)' should return the parent/child revisions of the given 'rev' if 'reverse' is True/False respectively. Scan ends at the stopdepth (exlusive) if specified. Revisions found earlier than the startdepth are omitted. """ if startdepth is None: startdepth = 0 if stopdepth is None: stopdepth = _maxlogdepth if stopdepth == 0: return if stopdepth < 0: raise error.ProgrammingError('negative stopdepth') if reverse: heapsign = -1 # max heap else: heapsign = +1 # min heap # load input revs lazily to heap so earlier revisions can be yielded # without fully computing the input revs revs.sort(reverse) irevs = iter(revs) pendingheap = [] # [(heapsign * rev, depth), ...] (i.e. lower depth first) inputrev = next(irevs, None) if inputrev is not None: heapq.heappush(pendingheap, (heapsign * inputrev, 0)) lastrev = None while pendingheap: currev, curdepth = heapq.heappop(pendingheap) currev = heapsign * currev if currev == inputrev: inputrev = next(irevs, None) if inputrev is not None: heapq.heappush(pendingheap, (heapsign * inputrev, 0)) # rescan parents until curdepth >= startdepth because queued entries # of the same revision are iterated from the lowest depth foundnew = (currev != lastrev) if foundnew and curdepth >= startdepth: lastrev = currev yield currev pdepth = curdepth + 1 if foundnew and pdepth < stopdepth: for prev in pfunc(currev): if prev != node.nullrev: heapq.heappush(pendingheap, (heapsign * prev, pdepth)) def _genrevancestors(repo, revs, followfirst, startdepth, stopdepth, cutfunc): if followfirst: cut = 1 else: cut = None cl = repo.changelog def plainpfunc(rev): try: return cl.parentrevs(rev)[:cut] except error.WdirUnsupported: return (pctx.rev() for pctx in repo[rev].parents()[:cut]) if cutfunc is None: pfunc = plainpfunc else: pfunc = lambda rev: [r for r in plainpfunc(rev) if not cutfunc(r)] revs = revs.filter(lambda rev: not cutfunc(rev)) return _walkrevtree(pfunc, revs, startdepth, stopdepth, reverse=True) def revancestors(repo, revs, followfirst=False, startdepth=None, stopdepth=None, cutfunc=None): """Like revlog.ancestors(), but supports additional options, includes the given revs themselves, and returns a smartset Scan ends at the stopdepth (exlusive) if specified. Revisions found earlier than the startdepth are omitted. If cutfunc is provided, it will be used to cut the traversal of the DAG. When cutfunc(X) returns True, the DAG traversal stops - revision X and X's ancestors in the traversal path will be skipped. This could be an optimization sometimes. Note: if Y is an ancestor of X, cutfunc(X) returning True does not necessarily mean Y will also be cut. Usually cutfunc(Y) also wants to return True in this case. For example, D # revancestors(repo, D, cutfunc=lambda rev: rev == B) |\ # will include "A", because the path D -> C -> A was not cut. B C # If "B" gets cut, "A" might want to be cut too. |/ A """ gen = _genrevancestors(repo, revs, followfirst, startdepth, stopdepth, cutfunc) return generatorset(gen, iterasc=False) def _genrevdescendants(repo, revs, followfirst): if followfirst: cut = 1 else: cut = None cl = repo.changelog first = revs.min() nullrev = node.nullrev if first == nullrev: # Are there nodes with a null first parent and a non-null # second one? Maybe. Do we care? Probably not. yield first for i in cl: yield i else: seen = set(revs) for i in cl.revs(first): if i in seen: yield i continue for x in cl.parentrevs(i)[:cut]: if x != nullrev and x in seen: seen.add(i) yield i break def _builddescendantsmap(repo, startrev, followfirst): """Build map of 'rev -> child revs', offset from startrev""" cl = repo.changelog nullrev = node.nullrev descmap = [[] for _rev in xrange(startrev, len(cl))] for currev in cl.revs(startrev + 1): p1rev, p2rev = cl.parentrevs(currev) if p1rev >= startrev: descmap[p1rev - startrev].append(currev) if not followfirst and p2rev != nullrev and p2rev >= startrev: descmap[p2rev - startrev].append(currev) return descmap def _genrevdescendantsofdepth(repo, revs, followfirst, startdepth, stopdepth): startrev = revs.min() descmap = _builddescendantsmap(repo, startrev, followfirst) def pfunc(rev): return descmap[rev - startrev] return _walkrevtree(pfunc, revs, startdepth, stopdepth, reverse=False) def revdescendants(repo, revs, followfirst, startdepth=None, stopdepth=None): """Like revlog.descendants() but supports additional options, includes the given revs themselves, and returns a smartset Scan ends at the stopdepth (exlusive) if specified. Revisions found earlier than the startdepth are omitted. """ if startdepth is None and stopdepth is None: gen = _genrevdescendants(repo, revs, followfirst) else: gen = _genrevdescendantsofdepth(repo, revs, followfirst, startdepth, stopdepth) return generatorset(gen, iterasc=True) def _reachablerootspure(repo, minroot, roots, heads, includepath): """return (heads(::<roots> and ::<heads>)) If includepath is True, return (<roots>::<heads>).""" if not roots: return [] parentrevs = repo.changelog.parentrevs roots = set(roots) visit = list(heads) reachable = set() seen = {} # prefetch all the things! (because python is slow) reached = reachable.add dovisit = visit.append nextvisit = visit.pop # open-code the post-order traversal due to the tiny size of # sys.getrecursionlimit() while visit: rev = nextvisit() if rev in roots: reached(rev) if not includepath: continue parents = parentrevs(rev) seen[rev] = parents for parent in parents: if parent >= minroot and parent not in seen: dovisit(parent) if not reachable: return baseset() if not includepath: return reachable for rev in sorted(seen): for parent in seen[rev]: if parent in reachable: reached(rev) return reachable def reachableroots(repo, roots, heads, includepath=False): """return (heads(::<roots> and ::<heads>)) If includepath is True, return (<roots>::<heads>).""" if not roots: return baseset() minroot = roots.min() roots = list(roots) heads = list(heads) try: revs = repo.changelog.reachableroots(minroot, heads, roots, includepath) except AttributeError: revs = _reachablerootspure(repo, minroot, roots, heads, includepath) revs = baseset(revs) revs.sort() return revs def _changesrange(fctx1, fctx2, linerange2, diffopts): """Return `(diffinrange, linerange1)` where `diffinrange` is True if diff from fctx2 to fctx1 has changes in linerange2 and `linerange1` is the new line range for fctx1. """ blocks = mdiff.allblocks(fctx1.data(), fctx2.data(), diffopts) filteredblocks, linerange1 = mdiff.blocksinrange(blocks, linerange2) diffinrange = any(stype == '!' for _, stype in filteredblocks) return diffinrange, linerange1 def blockancestors(fctx, fromline, toline, followfirst=False): """Yield ancestors of `fctx` with respect to the block of lines within `fromline`-`toline` range. """ diffopts = patch.diffopts(fctx._repo.ui) introrev = fctx.introrev() if fctx.rev() != introrev: fctx = fctx.filectx(fctx.filenode(), changeid=introrev) visit = {(fctx.linkrev(), fctx.filenode()): (fctx, (fromline, toline))} while visit: c, linerange2 = visit.pop(max(visit)) pl = c.parents() if followfirst: pl = pl[:1] if not pl: # The block originates from the initial revision. yield c, linerange2 continue inrange = False for p in pl: inrangep, linerange1 = _changesrange(p, c, linerange2, diffopts) inrange = inrange or inrangep if linerange1[0] == linerange1[1]: # Parent's linerange is empty, meaning that the block got # introduced in this revision; no need to go futher in this # branch. continue # Set _descendantrev with 'c' (a known descendant) so that, when # _adjustlinkrev is called for 'p', it receives this descendant # (as srcrev) instead possibly topmost introrev. p._descendantrev = c.rev() visit[p.linkrev(), p.filenode()] = p, linerange1 if inrange: yield c, linerange2 def blockdescendants(fctx, fromline, toline): """Yield descendants of `fctx` with respect to the block of lines within `fromline`-`toline` range. """ # First possibly yield 'fctx' if it has changes in range with respect to # its parents. try: c, linerange1 = next(blockancestors(fctx, fromline, toline)) except StopIteration: pass else: if c == fctx: yield c, linerange1 diffopts = patch.diffopts(fctx._repo.ui) fl = fctx.filelog() seen = {fctx.filerev(): (fctx, (fromline, toline))} for i in fl.descendants([fctx.filerev()]): c = fctx.filectx(i) inrange = False for x in fl.parentrevs(i): try: p, linerange2 = seen[x] except KeyError: # nullrev or other branch continue inrangep, linerange1 = _changesrange(c, p, linerange2, diffopts) inrange = inrange or inrangep # If revision 'i' has been seen (it's a merge) and the line range # previously computed differs from the one we just got, we take the # surrounding interval. This is conservative but avoids loosing # information. if i in seen and seen[i][1] != linerange1: lbs, ubs = zip(linerange1, seen[i][1]) linerange1 = min(lbs), max(ubs) seen[i] = c, linerange1 if inrange: yield c, linerange1 def toposort(revs, parentsfunc, firstbranch=()): """Yield revisions from heads to roots one (topo) branch at a time. This function aims to be used by a graph generator that wishes to minimize the number of parallel branches and their interleaving. Example iteration order (numbers show the "true" order in a changelog): o 4 | o 1 | | o 3 | | | o 2 |/ o 0 Note that the ancestors of merges are understood by the current algorithm to be on the same branch. This means no reordering will occur behind a merge. """ ### Quick summary of the algorithm # # This function is based around a "retention" principle. We keep revisions # in memory until we are ready to emit a whole branch that immediately # "merges" into an existing one. This reduces the number of parallel # branches with interleaved revisions. # # During iteration revs are split into two groups: # A) revision already emitted # B) revision in "retention". They are stored as different subgroups. # # for each REV, we do the following logic: # # 1) if REV is a parent of (A), we will emit it. If there is a # retention group ((B) above) that is blocked on REV being # available, we emit all the revisions out of that retention # group first. # # 2) else, we'll search for a subgroup in (B) awaiting for REV to be # available, if such subgroup exist, we add REV to it and the subgroup is # now awaiting for REV.parents() to be available. # # 3) finally if no such group existed in (B), we create a new subgroup. # # # To bootstrap the algorithm, we emit the tipmost revision (which # puts it in group (A) from above). revs.sort(reverse=True) # Set of parents of revision that have been emitted. They can be considered # unblocked as the graph generator is already aware of them so there is no # need to delay the revisions that reference them. # # If someone wants to prioritize a branch over the others, pre-filling this # set will force all other branches to wait until this branch is ready to be # emitted. unblocked = set(firstbranch) # list of groups waiting to be displayed, each group is defined by: # # (revs: lists of revs waiting to be displayed, # blocked: set of that cannot be displayed before those in 'revs') # # The second value ('blocked') correspond to parents of any revision in the # group ('revs') that is not itself contained in the group. The main idea # of this algorithm is to delay as much as possible the emission of any # revision. This means waiting for the moment we are about to display # these parents to display the revs in a group. # # This first implementation is smart until it encounters a merge: it will # emit revs as soon as any parent is about to be emitted and can grow an # arbitrary number of revs in 'blocked'. In practice this mean we properly # retains new branches but gives up on any special ordering for ancestors # of merges. The implementation can be improved to handle this better. # # The first subgroup is special. It corresponds to all the revision that # were already emitted. The 'revs' lists is expected to be empty and the # 'blocked' set contains the parents revisions of already emitted revision. # # You could pre-seed the <parents> set of groups[0] to a specific # changesets to select what the first emitted branch should be. groups = [([], unblocked)] pendingheap = [] pendingset = set() heapq.heapify(pendingheap) heappop = heapq.heappop heappush = heapq.heappush for currentrev in revs: # Heap works with smallest element, we want highest so we invert if currentrev not in pendingset: heappush(pendingheap, -currentrev) pendingset.add(currentrev) # iterates on pending rev until after the current rev have been # processed. rev = None while rev != currentrev: rev = -heappop(pendingheap) pendingset.remove(rev) # Seek for a subgroup blocked, waiting for the current revision. matching = [i for i, g in enumerate(groups) if rev in g[1]] if matching: # The main idea is to gather together all sets that are blocked # on the same revision. # # Groups are merged when a common blocking ancestor is # observed. For example, given two groups: # # revs [5, 4] waiting for 1 # revs [3, 2] waiting for 1 # # These two groups will be merged when we process # 1. In theory, we could have merged the groups when # we added 2 to the group it is now in (we could have # noticed the groups were both blocked on 1 then), but # the way it works now makes the algorithm simpler. # # We also always keep the oldest subgroup first. We can # probably improve the behavior by having the longest set # first. That way, graph algorithms could minimise the length # of parallel lines their drawing. This is currently not done. targetidx = matching.pop(0) trevs, tparents = groups[targetidx] for i in matching: gr = groups[i] trevs.extend(gr[0]) tparents |= gr[1] # delete all merged subgroups (except the one we kept) # (starting from the last subgroup for performance and # sanity reasons) for i in reversed(matching): del groups[i] else: # This is a new head. We create a new subgroup for it. targetidx = len(groups) groups.append(([], {rev})) gr = groups[targetidx] # We now add the current nodes to this subgroups. This is done # after the subgroup merging because all elements from a subgroup # that relied on this rev must precede it. # # we also update the <parents> set to include the parents of the # new nodes. if rev == currentrev: # only display stuff in rev gr[0].append(rev) gr[1].remove(rev) parents = [p for p in parentsfunc(rev) if p > node.nullrev] gr[1].update(parents) for p in parents: if p not in pendingset: pendingset.add(p) heappush(pendingheap, -p) # Look for a subgroup to display # # When unblocked is empty (if clause), we were not waiting for any # revisions during the first iteration (if no priority was given) or # if we emitted a whole disconnected set of the graph (reached a # root). In that case we arbitrarily take the oldest known # subgroup. The heuristic could probably be better. # # Otherwise (elif clause) if the subgroup is blocked on # a revision we just emitted, we can safely emit it as # well. if not unblocked: if len(groups) > 1: # display other subset targetidx = 1 gr = groups[1] elif not gr[1] & unblocked: gr = None if gr is not None: # update the set of awaited revisions with the one from the # subgroup unblocked |= gr[1] # output all revisions in the subgroup for r in gr[0]: yield r # delete the subgroup that you just output # unless it is groups[0] in which case you just empty it. if targetidx: del groups[targetidx] else: gr[0][:] = [] # Check if we have some subgroup waiting for revisions we are not going to # iterate over for g in groups: for r in g[0]: yield r