#!/usr/bin/env python
import random
import os
import time
import sys
import optparse
from bzrlib import (
branch,
commands,
graph,
ui,
trace,
_known_graph_py,
_known_graph_pyx,
)
from bzrlib.ui import text
p = optparse.OptionParser()
p.add_option('--quick', default=False, action='store_true')
p.add_option('--max-combinations', default=500, type=int)
p.add_option('--lsprof', default=None, type=str)
opts, args = p.parse_args(sys.argv[1:])
trace.enable_default_logging()
ui.ui_factory = text.TextUIFactory()
begin = time.clock()
if len(args) >= 1:
b = branch.Branch.open(args[0])
else:
b = branch.Branch.open('.')
b.lock_read()
try:
g = b.repository.get_graph()
parent_map = dict(p for p in g.iter_ancestry([b.last_revision()])
if p[1] is not None)
finally:
b.unlock()
end = time.clock()
print 'Found %d nodes, loaded in %.3fs' % (len(parent_map), end - begin)
def all_heads_comp(g, combinations):
h = []
pb = ui.ui_factory.nested_progress_bar()
try:
for idx, combo in enumerate(combinations):
if idx & 0x1f == 0:
pb.update('proc', idx, len(combinations))
h.append(g.heads(combo))
finally:
pb.finished()
return h
combinations = []
# parents = parent_map.keys()
# for p1 in parents:
# for p2 in random.sample(parents, 10):
# combinations.append((p1, p2))
# Times for random sampling of 10x1150 of bzrtools
# Graph KnownGraph
# 96.1s vs 25.7s :)
# Times for 500 'merge parents' from bzr.dev
# 25.6s vs 45.0s :(
for revision_id, parent_ids in parent_map.iteritems():
if parent_ids is not None and len(parent_ids) > 1:
combinations.append(parent_ids)
# The largest portion of the graph that has to be walked for a heads() check
# combinations = [('john@arbash-meinel.com-20090312021943-tu6tcog48aiujx4s',
# 'john@arbash-meinel.com-20090312130552-09xa2xsitf6rilzc')]
if opts.max_combinations > 0 and len(combinations) > opts.max_combinations:
combinations = random.sample(combinations, opts.max_combinations)
print ' %d combinations' % (len(combinations),)
def combi_graph(graph_klass, comb):
# DEBUG
graph._counters[1] = 0
graph._counters[2] = 0
begin = time.clock()
g = graph_klass(parent_map)
if opts.lsprof is not None:
heads = commands.apply_lsprofiled(opts.lsprof, all_heads_comp, g, comb)
else:
heads = all_heads_comp(g, comb)
end = time.clock()
return dict(elapsed=(end - begin), graph=g, heads=heads)
def report(name, g):
print '%s: %.3fs' % (name, g['elapsed'])
counters_used = False
for c in graph._counters:
if c:
counters_used = True
if counters_used:
print ' %s' % (graph._counters,)
known_python = combi_graph(_known_graph_py.KnownGraph, combinations)
report('Known', known_python)
known_pyrex = combi_graph(_known_graph_pyx.KnownGraph, combinations)
report('Known (pyx)', known_pyrex)
def _simple_graph(parent_map):
return graph.Graph(graph.DictParentsProvider(parent_map))
if opts.quick:
if known_python['heads'] != known_pyrex['heads']:
import pdb; pdb.set_trace()
print 'ratio: %.1f:1 faster' % (
known_python['elapsed'] / known_pyrex['elapsed'],)
else:
orig = combi_graph(_simple_graph, combinations)
report('Orig', orig)
if orig['heads'] != known_pyrex['heads']:
import pdb; pdb.set_trace()
print 'ratio: %.1f:1 faster' % (
orig['elapsed'] / known_pyrex['elapsed'],)
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