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# ancestor.py - generic DAG ancestor algorithm for mercurial
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#
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# Copyright 2006 Matt Mackall <mpm@selenic.com>
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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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import heapq
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def ancestor(a, b, pfunc):
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"""
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return a minimal-distance ancestor of nodes a and b, or None if there is no
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such ancestor. Note that there can be several ancestors with the same
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(minimal) distance, and the one returned is arbitrary.
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pfunc must return a list of parent vertices for a given vertex
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"""
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if a == b:
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return a
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a, b = sorted([a, b])
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# find depth from root of all ancestors
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parentcache = {}
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visit = [a, b]
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depth = {}
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while visit:
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vertex = visit[-1]
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pl = pfunc(vertex)
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parentcache[vertex] = pl
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if not pl:
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depth[vertex] = 0
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visit.pop()
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else:
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for p in pl:
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if p == a or p == b: # did we find a or b as a parent?
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return p # we're done
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if p not in depth:
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visit.append(p)
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if visit[-1] == vertex:
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depth[vertex] = min([depth[p] for p in pl]) - 1
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visit.pop()
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# traverse ancestors in order of decreasing distance from root
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def ancestors(vertex):
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h = [(depth[vertex], vertex)]
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seen = set()
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while h:
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d, n = heapq.heappop(h)
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if n not in seen:
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seen.add(n)
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yield (d, n)
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for p in parentcache[n]:
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heapq.heappush(h, (depth[p], p))
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def generations(vertex):
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sg, s = None, set()
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for g, v in ancestors(vertex):
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if g != sg:
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if sg:
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yield sg, s
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sg, s = g, set((v,))
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else:
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s.add(v)
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yield sg, s
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x = generations(a)
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y = generations(b)
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gx = x.next()
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gy = y.next()
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# increment each ancestor list until it is closer to root than
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# the other, or they match
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try:
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while 1:
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if gx[0] == gy[0]:
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for v in gx[1]:
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if v in gy[1]:
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return v
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gy = y.next()
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gx = x.next()
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elif gx[0] > gy[0]:
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gy = y.next()
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else:
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gx = x.next()
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except StopIteration:
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return None
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