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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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import util
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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 = revs.min()
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gpcache = {}
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knownrevs = 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, repo):
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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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config = {}
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for key, val in repo.ui.configitems('graph'):
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if '.' in key:
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branch, setting = key.rsplit('.', 1)
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# Validation
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if setting == "width" and val.isdigit():
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config.setdefault(branch, {})[setting] = int(val)
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elif setting == "color" and val.isalnum():
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config.setdefault(branch, {})[setting] = val
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if config:
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getconf = util.lrucachefunc(
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lambda rev: config.get(repo[rev].branch(), {}))
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else:
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getconf = lambda rev: {}
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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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bconf = getconf(eid)
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edges.append((
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ecol, next.index(eid), colors[eid],
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bconf.get('width', -1),
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bconf.get('color', '')))
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elif eid == cur:
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for p in parents:
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bconf = getconf(p)
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edges.append((
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ecol, next.index(p), color,
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bconf.get('width', -1),
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bconf.get('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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def asciiedges(type, char, lines, seen, rev, parents):
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"""adds edge info to changelog DAG walk suitable for ascii()"""
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if rev not in seen:
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seen.append(rev)
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nodeidx = seen.index(rev)
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knownparents = []
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newparents = []
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for parent in parents:
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if parent in seen:
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knownparents.append(parent)
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else:
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newparents.append(parent)
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ncols = len(seen)
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nextseen = seen[:]
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nextseen[nodeidx:nodeidx + 1] = newparents
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edges = [(nodeidx, nextseen.index(p)) for p in knownparents if p != nullrev]
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while len(newparents) > 2:
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# ascii() only knows how to add or remove a single column between two
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# calls. Nodes with more than two parents break this constraint so we
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# introduce intermediate expansion lines to grow the active node list
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# slowly.
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edges.append((nodeidx, nodeidx))
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edges.append((nodeidx, nodeidx + 1))
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nmorecols = 1
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yield (type, char, lines, (nodeidx, edges, ncols, nmorecols))
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char = '\\'
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lines = []
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nodeidx += 1
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ncols += 1
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edges = []
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del newparents[0]
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if len(newparents) > 0:
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edges.append((nodeidx, nodeidx))
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if len(newparents) > 1:
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edges.append((nodeidx, nodeidx + 1))
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nmorecols = len(nextseen) - ncols
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seen[:] = nextseen
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yield (type, char, lines, (nodeidx, edges, ncols, nmorecols))
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def _fixlongrightedges(edges):
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for (i, (start, end)) in enumerate(edges):
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if end > start:
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edges[i] = (start, end + 1)
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def _getnodelineedgestail(
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node_index, p_node_index, n_columns, n_columns_diff, p_diff, fix_tail):
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if fix_tail and n_columns_diff == p_diff and n_columns_diff != 0:
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# Still going in the same non-vertical direction.
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if n_columns_diff == -1:
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start = max(node_index + 1, p_node_index)
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tail = ["|", " "] * (start - node_index - 1)
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tail.extend(["/", " "] * (n_columns - start))
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return tail
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else:
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return ["\\", " "] * (n_columns - node_index - 1)
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else:
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return ["|", " "] * (n_columns - node_index - 1)
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def _drawedges(edges, nodeline, interline):
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for (start, end) in edges:
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if start == end + 1:
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interline[2 * end + 1] = "/"
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elif start == end - 1:
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interline[2 * start + 1] = "\\"
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elif start == end:
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interline[2 * start] = "|"
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else:
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if 2 * end >= len(nodeline):
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continue
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nodeline[2 * end] = "+"
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if start > end:
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(start, end) = (end, start)
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for i in range(2 * start + 1, 2 * end):
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if nodeline[i] != "+":
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nodeline[i] = "-"
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def _getpaddingline(ni, n_columns, edges):
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line = []
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line.extend(["|", " "] * ni)
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if (ni, ni - 1) in edges or (ni, ni) in edges:
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# (ni, ni - 1) (ni, ni)
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# | | | | | | | |
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# +---o | | o---+
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# | | c | | c | |
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# | |/ / | |/ /
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# | | | | | |
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c = "|"
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else:
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c = " "
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line.extend([c, " "])
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line.extend(["|", " "] * (n_columns - ni - 1))
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return line
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def asciistate():
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"""returns the initial value for the "state" argument to ascii()"""
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return [0, 0]
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def ascii(ui, state, type, char, text, coldata):
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"""prints an ASCII graph of the DAG
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takes the following arguments (one call per node in the graph):
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- ui to write to
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- Somewhere to keep the needed state in (init to asciistate())
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- Column of the current node in the set of ongoing edges.
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- Type indicator of node data, usually 'C' for changesets.
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- Payload: (char, lines):
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- Character to use as node's symbol.
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- List of lines to display as the node's text.
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- Edges; a list of (col, next_col) indicating the edges between
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the current node and its parents.
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- Number of columns (ongoing edges) in the current revision.
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- The difference between the number of columns (ongoing edges)
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in the next revision and the number of columns (ongoing edges)
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in the current revision. That is: -1 means one column removed;
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0 means no columns added or removed; 1 means one column added.
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"""
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idx, edges, ncols, coldiff = coldata
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assert -2 < coldiff < 2
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if coldiff == -1:
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# Transform
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#
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# | | | | | |
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# o | | into o---+
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# |X / |/ /
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# | | | |
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_fixlongrightedges(edges)
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# add_padding_line says whether to rewrite
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#
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# | | | | | | | |
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# | o---+ into | o---+
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# | / / | | | # <--- padding line
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# o | | | / /
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# o | |
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add_padding_line = (len(text) > 2 and coldiff == -1 and
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[x for (x, y) in edges if x + 1 < y])
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# fix_nodeline_tail says whether to rewrite
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#
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# | | o | | | | o | |
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# | | |/ / | | |/ /
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# | o | | into | o / / # <--- fixed nodeline tail
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# | |/ / | |/ /
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# o | | o | |
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fix_nodeline_tail = len(text) <= 2 and not add_padding_line
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# nodeline is the line containing the node character (typically o)
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nodeline = ["|", " "] * idx
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nodeline.extend([char, " "])
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nodeline.extend(
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_getnodelineedgestail(idx, state[1], ncols, coldiff,
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state[0], fix_nodeline_tail))
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# shift_interline is the line containing the non-vertical
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# edges between this entry and the next
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shift_interline = ["|", " "] * idx
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if coldiff == -1:
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n_spaces = 1
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edge_ch = "/"
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elif coldiff == 0:
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n_spaces = 2
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edge_ch = "|"
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else:
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n_spaces = 3
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edge_ch = "\\"
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shift_interline.extend(n_spaces * [" "])
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shift_interline.extend([edge_ch, " "] * (ncols - idx - 1))
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# draw edges from the current node to its parents
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_drawedges(edges, nodeline, shift_interline)
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# lines is the list of all graph lines to print
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lines = [nodeline]
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if add_padding_line:
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lines.append(_getpaddingline(idx, ncols, edges))
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lines.append(shift_interline)
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# make sure that there are as many graph lines as there are
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# log strings
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while len(text) < len(lines):
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text.append("")
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if len(lines) < len(text):
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extra_interline = ["|", " "] * (ncols + coldiff)
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while len(lines) < len(text):
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lines.append(extra_interline)
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# print lines
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indentation_level = max(ncols, ncols + coldiff)
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for (line, logstr) in zip(lines, text):
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ln = "%-*s %s" % (2 * indentation_level, "".join(line), logstr)
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ui.write(ln.rstrip() + '\n')
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# ... and start over
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state[0] = coldiff
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state[1] = idx
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