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140 lines
5.0 KiB
Python
140 lines
5.0 KiB
Python
from __future__ import print_function
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import hotshot.stats, os, random, sys
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from pyutil import benchutil, randutil # http://tahoe-lafs.org/trac/pyutil
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from zope.interface import implementer
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from allmydata import dirnode, uri
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from allmydata.interfaces import IFileNode
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from allmydata.mutable.filenode import MutableFileNode
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from allmydata.immutable.filenode import ImmutableFileNode
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@implementer(IFileNode)
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class ContainerNode(object):
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# dirnodes sit on top of a "container" filenode, from which it extracts a
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# writekey
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def __init__(self):
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self._writekey = randutil.insecurerandstr(16)
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self._fingerprint = randutil.insecurerandstr(32)
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self._cap = uri.WriteableSSKFileURI(self._writekey, self._fingerprint)
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def get_writekey(self):
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return self._writekey
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def get_cap(self):
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return self._cap
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def get_uri(self):
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return self._cap.to_string()
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def is_readonly(self):
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return False
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def is_mutable(self):
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return True
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class FakeNode:
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def raise_error(self):
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return None
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class FakeNodeMaker:
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def create_from_cap(self, writecap, readcap=None, deep_immutable=False, name=''):
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return FakeNode()
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def random_unicode(n=140, b=3, codec='utf-8'):
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l = []
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while len(l) < n:
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try:
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u = os.urandom(b).decode(codec)[0]
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except UnicodeDecodeError:
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pass
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else:
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l.append(u)
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return u''.join(l)
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encoding_parameters = {"k": 3, "n": 10}
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def random_metadata():
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d = {}
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d['tahoe'] = {}
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d['tahoe']['linkcrtime'] = random.random()
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d['tahoe']['linkmotime'] = random.random()
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return d
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PROF_FILE_NAME="bench_dirnode.prof"
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class B(object):
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def __init__(self):
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self.children = [] # tuples of (k, v) (suitable for passing to dict())
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self.packstr = None
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self.nodemaker = FakeNodeMaker()
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self.testdirnode = dirnode.DirectoryNode(ContainerNode(), self.nodemaker, uploader=None)
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def random_fsnode(self):
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coin = random.randrange(0, 3)
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if coin == 0:
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cap = uri.CHKFileURI(randutil.insecurerandstr(16),
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randutil.insecurerandstr(32),
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random.randrange(1, 5),
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random.randrange(6, 15),
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random.randrange(99, 1000000000000))
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return ImmutableFileNode(cap, None, None, None, None, None)
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elif coin == 1:
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cap = uri.WriteableSSKFileURI(randutil.insecurerandstr(16),
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randutil.insecurerandstr(32))
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n = MutableFileNode(None, None, encoding_parameters, None)
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return n.init_from_cap(cap)
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else:
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assert coin == 2
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cap = uri.WriteableSSKFileURI(randutil.insecurerandstr(16),
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randutil.insecurerandstr(32))
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n = MutableFileNode(None, None, encoding_parameters, None)
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n.init_from_cap(cap)
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return dirnode.DirectoryNode(n, self.nodemaker, uploader=None)
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def random_child(self):
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return self.random_fsnode(), random_metadata()
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def init_for_pack(self, N):
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for i in xrange(len(self.children), N):
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name = random_unicode(random.randrange(0, 10))
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self.children.append( (name, self.random_child()) )
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def init_for_unpack(self, N):
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self.init_for_pack(N)
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self.packstr = self.pack(N)
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def pack(self, N):
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return self.testdirnode._pack_contents(dict(self.children[:N]))
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def unpack(self, N):
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return self.testdirnode._unpack_contents(self.packstr)
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def unpack_and_repack(self, N):
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return self.testdirnode._pack_contents(self.testdirnode._unpack_contents(self.packstr))
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def run_benchmarks(self, profile=False):
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for (initfunc, func) in [(self.init_for_unpack, self.unpack),
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(self.init_for_pack, self.pack),
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(self.init_for_unpack, self.unpack_and_repack)]:
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print("benchmarking %s" % (func,))
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for N in 16, 512, 2048, 16384:
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print("%5d" % N, end=' ')
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benchutil.rep_bench(func, N, initfunc=initfunc, MAXREPS=20, UNITS_PER_SECOND=1000)
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benchutil.print_bench_footer(UNITS_PER_SECOND=1000)
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print("(milliseconds)")
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def prof_benchmarks(self):
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# This requires pyutil >= v1.3.34.
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self.run_benchmarks(profile=True)
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def print_stats(self):
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s = hotshot.stats.load(PROF_FILE_NAME)
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s.strip_dirs().sort_stats("time").print_stats(32)
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if __name__ == "__main__":
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if '--profile' in sys.argv:
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if os.path.exists(PROF_FILE_NAME):
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print("WARNING: profiling results file '%s' already exists -- the profiling results from this run will be added into the profiling results stored in that file and then the sum of them will be printed out after this run." % (PROF_FILE_NAME,))
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b = B()
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b.prof_benchmarks()
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b.print_stats()
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else:
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b = B()
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b.run_benchmarks()
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