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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 .node import nullrev
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from .thirdparty import attr
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from . import (
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dagop,
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pycompat,
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smartset,
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util,
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)
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CHANGESET = b'C'
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PARENT = b'P'
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GRANDPARENT = b'G'
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MISSINGPARENT = b'M'
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# Style of line to draw. None signals a line that ends and is removed at this
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# point. A number prefix means only the last N characters of the current block
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# will use that style, the rest will use the PARENT style. Add a - sign
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# (so making N negative) and all but the first N characters use that style.
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EDGES = {PARENT: b'|', GRANDPARENT: b':', MISSINGPARENT: None}
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def dagwalker(repo, revs):
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"""cset DAG generator yielding (id, CHANGESET, ctx, [parentinfo]) 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.
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Each parentinfo entry is a tuple with (edgetype, parentid), where edgetype
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is one of PARENT, GRANDPARENT or MISSINGPARENT. The node and parent ids
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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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gpcache = {}
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for rev in revs:
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ctx = repo[rev]
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# partition into parents in the rev set and missing parents, then
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# augment the lists with markers, to inform graph drawing code about
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# what kind of edge to draw between nodes.
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pset = {p.rev() for p in ctx.parents() if p.rev() in revs}
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mpars = [
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p.rev()
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for p in ctx.parents()
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if p.rev() != nullrev and p.rev() not in pset
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]
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parents = [(PARENT, p) for p in sorted(pset)]
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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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# precompute slow query as we know reachableroots() goes
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# through all revs (issue4782)
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if not isinstance(revs, smartset.baseset):
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revs = smartset.baseset(revs)
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gp = gpcache[mpar] = sorted(
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set(dagop.reachableroots(repo, revs, [mpar]))
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)
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if not gp:
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parents.append((MISSINGPARENT, mpar))
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pset.add(mpar)
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else:
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parents.extend((GRANDPARENT, g) for g in gp if g not in pset)
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pset.update(gp)
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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 = {
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(PARENT, p.rev()) for p in ctx.parents() if p.node() in include
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}
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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(b'graph'):
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if b'.' in key:
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branch, setting = key.rsplit(b'.', 1)
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# Validation
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if setting == b"width" and val.isdigit():
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config.setdefault(branch, {})[setting] = int(val)
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elif setting == b"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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)
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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 pt, 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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(
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ecol,
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next.index(eid),
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colors[eid],
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bconf.get(b'width', -1),
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bconf.get(b'color', b''),
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)
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)
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elif eid == cur:
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for ptype, p in parents:
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bconf = getconf(p)
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edges.append(
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(
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ecol,
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next.index(p),
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color,
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bconf.get(b'width', -1),
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bconf.get(b'color', b''),
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)
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)
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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 asciiedges(type, char, state, rev, parents):
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"""adds edge info to changelog DAG walk suitable for ascii()"""
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seen = state.seen
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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 ptype, parent in parents:
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if parent == rev:
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# self reference (should only be seen in null rev)
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continue
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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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state.edges[parent] = state.styles.get(ptype, b'|')
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ncols = len(seen)
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width = 1 + ncols * 2
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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]
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seen[:] = nextseen
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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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width += 2
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yield (type, char, width, (nodeidx, edges, ncols, nmorecols))
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char = b'\\'
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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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if nmorecols > 0:
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width += 2
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# remove current node from edge characters, no longer needed
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state.edges.pop(rev, None)
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yield (type, char, width, (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(echars, idx, pidx, ncols, coldiff, pdiff, fix_tail):
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if fix_tail and coldiff == pdiff and coldiff != 0:
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# Still going in the same non-vertical direction.
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if coldiff == -1:
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start = max(idx + 1, pidx)
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tail = echars[idx * 2 : (start - 1) * 2]
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tail.extend([b"/", b" "] * (ncols - start))
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return tail
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else:
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return [b"\\", b" "] * (ncols - idx - 1)
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else:
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remainder = ncols - idx - 1
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return echars[-(remainder * 2) :] if remainder > 0 else []
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def _drawedges(echars, 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] = b"/"
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elif start == end - 1:
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interline[2 * start + 1] = b"\\"
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elif start == end:
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interline[2 * start] = echars[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] = b"+"
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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] != b"+":
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nodeline[i] = b"-"
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def _getpaddingline(echars, idx, ncols, edges):
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# all edges up to the current node
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line = echars[: idx * 2]
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# an edge for the current node, if there is one
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if (idx, idx - 1) in edges or (idx, idx) in edges:
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# (idx, idx - 1) (idx, idx)
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# | | | | | | | |
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# +---o | | o---+
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# | | X | | X | |
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# | |/ / | |/ /
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# | | | | | |
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line.extend(echars[idx * 2 : (idx + 1) * 2])
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else:
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line.extend([b' ', b' '])
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# all edges to the right of the current node
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remainder = ncols - idx - 1
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if remainder > 0:
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line.extend(echars[-(remainder * 2) :])
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return line
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def _drawendinglines(lines, extra, edgemap, seen, state):
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"""Draw ending lines for missing parent edges
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None indicates an edge that ends at between this node and the next
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Replace with a short line ending in ~ and add / lines to any edges to
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the right.
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"""
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if None not in edgemap.values():
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return
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# Check for more edges to the right of our ending edges.
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# We need enough space to draw adjustment lines for these.
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edgechars = extra[::2]
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while edgechars and edgechars[-1] is None:
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edgechars.pop()
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shift_size = max((edgechars.count(None) * 2) - 1, 0)
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minlines = 3 if not state.graphshorten else 2
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while len(lines) < minlines + shift_size:
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lines.append(extra[:])
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if shift_size:
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empties = []
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toshift = []
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first_empty = extra.index(None)
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for i, c in enumerate(extra[first_empty::2], first_empty // 2):
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if c is None:
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empties.append(i * 2)
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else:
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toshift.append(i * 2)
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targets = list(range(first_empty, first_empty + len(toshift) * 2, 2))
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positions = toshift[:]
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for line in lines[-shift_size:]:
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line[first_empty:] = [b' '] * (len(line) - first_empty)
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for i in range(len(positions)):
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pos = positions[i] - 1
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positions[i] = max(pos, targets[i])
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line[pos] = b'/' if pos > targets[i] else extra[toshift[i]]
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map = {1: b'|', 2: b'~'} if not state.graphshorten else {1: b'~'}
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for i, line in enumerate(lines):
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if None not in line:
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continue
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line[:] = [c or map.get(i, b' ') for c in line]
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# remove edges that ended
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remove = [p for p, c in edgemap.items() if c is None]
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for parent in remove:
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del edgemap[parent]
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seen.remove(parent)
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@attr.s
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class asciistate:
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"""State of ascii() graph rendering"""
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seen = attr.ib(init=False, default=attr.Factory(list))
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edges = attr.ib(init=False, default=attr.Factory(dict))
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lastcoldiff = attr.ib(init=False, default=0)
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lastindex = attr.ib(init=False, default=0)
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styles = attr.ib(init=False, default=attr.Factory(EDGES.copy))
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graphshorten = attr.ib(init=False, default=False)
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def outputgraph(ui, graph):
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"""outputs an ASCII graph of a DAG
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this is a helper function for 'ascii' below.
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takes the following arguments:
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- ui to write to
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- graph data: list of { graph nodes/edges, text }
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this function can be monkey-patched by extensions to alter graph display
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without needing to mimic all of the edge-fixup logic in ascii()
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"""
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for (ln, logstr) in graph:
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ui.write((ln + logstr).rstrip() + b"\n")
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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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edgemap, seen = state.edges, state.seen
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# Be tolerant of history issues; make sure we have at least ncols + coldiff
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# elements to work with. See test-glog.t for broken history test cases.
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echars = [c for p in seen for c in (edgemap.get(p, b'|'), b' ')]
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echars.extend((b'|', b' ') * max(ncols + coldiff - len(seen), 0))
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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 = (
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len(text) > 2 and coldiff == -1 and [x for (x, y) in edges if x + 1 < y]
|
|
|
)
|
|
|
|
|
|
# fix_nodeline_tail says whether to rewrite
|
|
|
#
|
|
|
# | | o | | | | o | |
|
|
|
# | | |/ / | | |/ /
|
|
|
# | o | | into | o / / # <--- fixed nodeline tail
|
|
|
# | |/ / | |/ /
|
|
|
# o | | o | |
|
|
|
fix_nodeline_tail = len(text) <= 2 and not add_padding_line
|
|
|
|
|
|
# nodeline is the line containing the node character (typically o)
|
|
|
nodeline = echars[: idx * 2]
|
|
|
nodeline.extend([char, b" "])
|
|
|
|
|
|
nodeline.extend(
|
|
|
_getnodelineedgestail(
|
|
|
echars,
|
|
|
idx,
|
|
|
state.lastindex,
|
|
|
ncols,
|
|
|
coldiff,
|
|
|
state.lastcoldiff,
|
|
|
fix_nodeline_tail,
|
|
|
)
|
|
|
)
|
|
|
|
|
|
# shift_interline is the line containing the non-vertical
|
|
|
# edges between this entry and the next
|
|
|
shift_interline = echars[: idx * 2]
|
|
|
for i in pycompat.xrange(2 + coldiff):
|
|
|
shift_interline.append(b' ')
|
|
|
count = ncols - idx - 1
|
|
|
if coldiff == -1:
|
|
|
for i in pycompat.xrange(count):
|
|
|
shift_interline.extend([b'/', b' '])
|
|
|
elif coldiff == 0:
|
|
|
shift_interline.extend(echars[(idx + 1) * 2 : ncols * 2])
|
|
|
else:
|
|
|
for i in pycompat.xrange(count):
|
|
|
shift_interline.extend([b'\\', b' '])
|
|
|
|
|
|
# draw edges from the current node to its parents
|
|
|
_drawedges(echars, edges, nodeline, shift_interline)
|
|
|
|
|
|
# lines is the list of all graph lines to print
|
|
|
lines = [nodeline]
|
|
|
if add_padding_line:
|
|
|
lines.append(_getpaddingline(echars, idx, ncols, edges))
|
|
|
|
|
|
# If 'graphshorten' config, only draw shift_interline
|
|
|
# when there is any non vertical flow in graph.
|
|
|
if state.graphshorten:
|
|
|
if any(c in br'\/' for c in shift_interline if c):
|
|
|
lines.append(shift_interline)
|
|
|
# Else, no 'graphshorten' config so draw shift_interline.
|
|
|
else:
|
|
|
lines.append(shift_interline)
|
|
|
|
|
|
# make sure that there are as many graph lines as there are
|
|
|
# log strings
|
|
|
extra_interline = echars[: (ncols + coldiff) * 2]
|
|
|
if len(lines) < len(text):
|
|
|
while len(lines) < len(text):
|
|
|
lines.append(extra_interline[:])
|
|
|
|
|
|
_drawendinglines(lines, extra_interline, edgemap, seen, state)
|
|
|
|
|
|
while len(text) < len(lines):
|
|
|
text.append(b"")
|
|
|
|
|
|
# print lines
|
|
|
indentation_level = max(ncols, ncols + coldiff)
|
|
|
lines = [
|
|
|
b"%-*s " % (2 * indentation_level, b"".join(line)) for line in lines
|
|
|
]
|
|
|
outputgraph(ui, zip(lines, text))
|
|
|
|
|
|
# ... and start over
|
|
|
state.lastcoldiff = coldiff
|
|
|
state.lastindex = idx
|
|
|
|
