author | Matt Mackall <mpm@selenic.com> |
Sat, 15 Mar 2008 10:02:31 -0500 | |
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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 |
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# of the GNU General Public License, incorporated herein by reference. |
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import heapq |
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def ancestor(a, b, pfunc): |
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""" |
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return the least common ancestor of nodes a and b or None if there |
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is no such ancestor. |
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|
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pfunc must return a list of parent vertices |
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""" |
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|
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if a == b: |
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return a |
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# find depth from root of all ancestors |
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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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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 = {} |
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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[n] = 1 |
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yield (d, n) |
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for p in pfunc(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, {} |
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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, {v:1} |
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else: |
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s[v] = 1 |
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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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def symmetricdifference(a, b, pfunc): |
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"""symmetric difference of the sets of ancestors of a and b |
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I.e. revisions that are ancestors of a or b, but not both. |
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""" |
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# basic idea: |
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# - mark a and b with different colors |
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# - walk the graph in topological order with the help of a heap; |
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# for each revision r: |
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# - if r has only one color, we want to return it |
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# - add colors[r] to its parents |
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# |
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# We keep track of the number of revisions in the heap that |
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# we may be interested in. We stop walking the graph as soon |
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# as this number reaches 0. |
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WHITE = 1 |
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BLACK = 2 |
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ALLCOLORS = WHITE | BLACK |
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colors = {a: WHITE, b: BLACK} |
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visit = [-a, -b] |
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heapq.heapify(visit) |
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n_wanted = len(visit) |
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ret = [] |
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while n_wanted: |
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r = -heapq.heappop(visit) |
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wanted = colors[r] != ALLCOLORS |
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n_wanted -= wanted |
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if wanted: |
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ret.append(r) |
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for p in pfunc(r): |
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if p not in colors: |
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# first time we see p; add it to visit |
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n_wanted += wanted |
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colors[p] = colors[r] |
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heapq.heappush(visit, -p) |
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elif colors[p] != ALLCOLORS and colors[p] != colors[r]: |
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# at first we thought we wanted p, but now |
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# we know we don't really want it |
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n_wanted -= 1 |
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colors[p] |= colors[r] |
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del colors[r] |
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return ret |