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# Revision graph generator for Mercurial
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#
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# Copyright 2008 Dirkjan Ochtman <dirkjan@ochtman.nl>
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# Copyright 2007 Joel Rosdahl <joel@rosdahl.net>
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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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"""supports walking the history as DAGs suitable for graphical output
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The most basic format we use is that of::
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(id, type, data, [parentids])
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The node and parent ids are arbitrary integers which identify a node in the
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context of the graph returned. Type is a constant specifying the node type.
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Data depends on type.
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"""
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from mercurial.node import nullrev
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CHANGESET = 'C'
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def dagwalker(repo, revs):
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"""cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples
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This generator function walks through revisions (which should be ordered
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from bigger to lower). It returns a tuple for each node. The node and parent
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ids are arbitrary integers which identify a node in the context of the graph
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returned.
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"""
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if not revs:
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return
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cl = repo.changelog
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lowestrev = min(revs)
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gpcache = {}
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knownrevs = set(revs)
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for rev in revs:
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ctx = repo[rev]
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parents = sorted(set([p.rev() for p in ctx.parents()
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if p.rev() in knownrevs]))
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mpars = [p.rev() for p in ctx.parents() if
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p.rev() != nullrev and p.rev() not in parents]
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for mpar in mpars:
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gp = gpcache.get(mpar)
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if gp is None:
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gp = gpcache[mpar] = grandparent(cl, lowestrev, revs, mpar)
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if not gp:
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parents.append(mpar)
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else:
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parents.extend(g for g in gp if g not in parents)
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yield (ctx.rev(), CHANGESET, ctx, parents)
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def nodes(repo, nodes):
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"""cset DAG generator yielding (id, CHANGESET, ctx, [parentids]) tuples
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This generator function walks the given nodes. It only returns parents
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that are in nodes, too.
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"""
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include = set(nodes)
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for node in nodes:
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ctx = repo[node]
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parents = set([p.rev() for p in ctx.parents() if p.node() in include])
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yield (ctx.rev(), CHANGESET, ctx, sorted(parents))
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def colored(dag):
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"""annotates a DAG with colored edge information
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For each DAG node this function emits tuples::
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(id, type, data, (col, color), [(col, nextcol, color)])
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with the following new elements:
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- Tuple (col, color) with column and color index for the current node
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- A list of tuples indicating the edges between the current node and its
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parents.
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"""
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seen = []
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colors = {}
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newcolor = 1
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for (cur, type, data, parents) in dag:
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# Compute seen and next
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if cur not in seen:
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seen.append(cur) # new head
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colors[cur] = newcolor
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newcolor += 1
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col = seen.index(cur)
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color = colors.pop(cur)
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next = seen[:]
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# Add parents to next
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addparents = [p for p in parents if p not in next]
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next[col:col + 1] = addparents
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# Set colors for the parents
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for i, p in enumerate(addparents):
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if not i:
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colors[p] = color
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else:
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colors[p] = newcolor
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newcolor += 1
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# Add edges to the graph
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edges = []
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for ecol, eid in enumerate(seen):
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if eid in next:
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edges.append((ecol, next.index(eid), colors[eid]))
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elif eid == cur:
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for p in parents:
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edges.append((ecol, next.index(p), color))
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# Yield and move on
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yield (cur, type, data, (col, color), edges)
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seen = next
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def grandparent(cl, lowestrev, roots, head):
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"""Return all ancestors of head in roots which revision is
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greater or equal to lowestrev.
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"""
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pending = set([head])
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seen = set()
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kept = set()
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llowestrev = max(nullrev, lowestrev)
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while pending:
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r = pending.pop()
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if r >= llowestrev and r not in seen:
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if r in roots:
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kept.add(r)
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else:
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pending.update([p for p in cl.parentrevs(r)])
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seen.add(r)
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return sorted(kept)
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