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Viewing changes to tools/time_graph.py

  • Committer: Martin Pool
  • Date: 2009-06-19 06:21:13 UTC
  • mto: This revision was merged to the branch mainline in revision 4558.
  • Revision ID: mbp@sourcefrog.net-20090619062113-019bp0a3bl2y4nkx
Un-soft-deprecate _supports_progress - still useful

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tools/time_graph.py
 
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#!/usr/bin/env python
 
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import random
 
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import os
 
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import time
 
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import sys
 
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import optparse
 
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from bzrlib import (
 
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    branch,
 
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    commands,
 
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    graph,
 
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    ui,
 
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    trace,
 
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    _known_graph_py,
 
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    _known_graph_pyx,
 
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    )
 
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from bzrlib.ui import text
 
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p = optparse.OptionParser()
 
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p.add_option('--max-combinations', default=500, type=int)
 
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p.add_option('--lsprof', default=None, type=str)
 
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opts, args = p.parse_args(sys.argv[1:])
 
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trace.enable_default_logging()
 
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ui.ui_factory = text.TextUIFactory()
 
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if len(args) >= 1:
 
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    b = branch.Branch.open(args[0])
 
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else:
 
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    b = branch.Branch.open('.')
 
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b.lock_read()
 
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try:
 
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    g = b.repository.get_graph()
 
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    parent_map = dict(p for p in g.iter_ancestry([b.last_revision()])
 
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                         if p[1] is not None)
 
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finally:
 
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    b.unlock()
 
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print 'Found %d nodes' % (len(parent_map),)
 
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def all_heads_comp(g, combinations):
 
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    h = []
 
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    pb = ui.ui_factory.nested_progress_bar()
 
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    try:
 
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        for idx, combo in enumerate(combinations):
 
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            if idx & 0x1f == 0:
 
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                pb.update('proc', idx, len(combinations))
 
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            h.append(g.heads(combo))
 
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    finally:
 
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        pb.finished()
 
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    return h
 
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combinations = []
 
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# parents = parent_map.keys()
 
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# for p1 in parents:
 
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#     for p2 in random.sample(parents, 10):
 
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#         combinations.append((p1, p2))
 
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# Times for random sampling of 10x1150 of bzrtools
 
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#   Graph        KnownGraph
 
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#   96.1s   vs   25.7s  :)
 
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# Times for 500 'merge parents' from bzr.dev
 
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#   25.6s   vs   45.0s  :(
 
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for revision_id, parent_ids in parent_map.iteritems():
 
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    if parent_ids is not None and len(parent_ids) > 1:
 
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        combinations.append(parent_ids)
 
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if opts.max_combinations > 0 and len(combinations) > opts.max_combinations:
 
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    combinations = random.sample(combinations, opts.max_combinations)
 
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print '      %d combinations' % (len(combinations),)
 
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t1 = time.clock()
 
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known_g = _known_graph_py.KnownGraph(parent_map)
 
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if opts.lsprof is not None:
 
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    h_known = commands.apply_lsprofiled(opts.lsprof,
 
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        all_heads_comp, known_g, combinations)
 
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else:
 
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    h_known = all_heads_comp(known_g, combinations)
 
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t2 = time.clock()
 
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print "Known: %.3fs" % (t2-t1,)
 
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print "  %s" % (graph._counters,)
 
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t1 = time.clock()
 
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known_g = _known_graph_pyx.KnownGraph(parent_map)
 
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if opts.lsprof is not None:
 
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    h_known = commands.apply_lsprofiled(opts.lsprof,
 
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        all_heads_comp, known_g, combinations)
 
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else:
 
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    h_known = all_heads_comp(known_g, combinations)
 
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t2 = time.clock()
 
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print "Known (pyx): %.3fs" % (t2-t1,)
 
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print "  %s" % (graph._counters,)
 
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simple_g = graph.Graph(graph.DictParentsProvider(parent_map))
 
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graph._counters[1] = 0
 
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graph._counters[2] = 0
 
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h_simple = all_heads_comp(simple_g, combinations)
 
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t3 = time.clock()
 
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print "Orig: %.3fs" % (t3-t2,)
 
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print "  %s" % (graph._counters,)
 
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if h_simple != h_known:
 
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    import pdb; pdb.set_trace()
 
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print 'ratio: %.3fs' % ((t2-t1) / (t3-t2))