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import hotshot . stats , os , random , sys
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from pyutil import benchutil , randutil # http://allmydata.org/trac/pyutil
from allmydata import client , dirnode , uri
from allmydata . mutable import filenode as mut_filenode
from allmydata . immutable import filenode as immut_filenode
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from allmydata . util import cachedir , fileutil
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class FakeClient ( client . Client ) :
# just enough
def __init__ ( self ) :
self . _node_cache = { }
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download_cachedir = fileutil . NamedTemporaryDirectory ( )
self . download_cache_dirman = cachedir . CacheDirectoryManager ( download_cachedir . name )
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def getServiceNamed ( self , name ) :
return None
def get_encoding_parameters ( self ) :
return { " k " : 3 , " n " : 10 }
def get_writekey ( self ) :
return os . urandom ( 16 )
class FakeMutableFileNode ( mut_filenode . MutableFileNode ) :
def __init__ ( self , client ) :
mut_filenode . MutableFileNode . __init__ ( self , client )
self . _uri = uri . WriteableSSKFileURI ( randutil . insecurerandstr ( 16 ) , randutil . insecurerandstr ( 32 ) )
class FakeDirectoryNode ( dirnode . NewDirectoryNode ) :
def __init__ ( self , client ) :
dirnode . NewDirectoryNode . __init__ ( self , client )
mutfileuri = uri . WriteableSSKFileURI ( randutil . insecurerandstr ( 16 ) , randutil . insecurerandstr ( 32 ) )
myuri = uri . NewDirectoryURI ( mutfileuri )
self . init_from_uri ( myuri )
children = [ ] # tuples of (k, v) (suitable for passing to dict())
packstr = None
fakeclient = FakeClient ( )
testdirnode = dirnode . NewDirectoryNode ( fakeclient )
testdirnode . init_from_uri ( uri . NewDirectoryURI ( uri . WriteableSSKFileURI ( randutil . insecurerandstr ( 16 ) , randutil . insecurerandstr ( 32 ) ) ) )
def random_unicode ( l ) :
while True :
try :
return os . urandom ( l ) . decode ( ' utf-8 ' )
except UnicodeDecodeError :
pass
def random_fsnode ( ) :
coin = random . randrange ( 0 , 3 )
if coin == 0 :
return immut_filenode . FileNode ( uri . CHKFileURI ( randutil . insecurerandstr ( 16 ) , randutil . insecurerandstr ( 32 ) , random . randrange ( 1 , 5 ) , random . randrange ( 6 , 15 ) , random . randrange ( 99 , 1000000000000 ) ) , fakeclient , None )
elif coin == 1 :
return FakeMutableFileNode ( fakeclient )
else :
assert coin == 2
return FakeDirectoryNode ( fakeclient )
def random_metadata ( ) :
d = { }
d [ ' ctime ' ] = random . random ( )
d [ ' mtime ' ] = random . random ( )
d [ ' tahoe ' ] = { }
d [ ' tahoe ' ] [ ' linkcrtime ' ] = random . random ( )
d [ ' tahoe ' ] [ ' linkmotime ' ] = random . random ( )
return d
def random_child ( ) :
return random_fsnode ( ) , random_metadata ( )
def init_for_pack ( N ) :
for i in xrange ( len ( children ) , N ) :
children . append ( ( random_unicode ( random . randrange ( 1 , 9 ) ) , random_child ( ) ) )
def init_for_unpack ( N ) :
global packstr
init_for_pack ( N )
packstr = pack ( N )
def pack ( N ) :
return testdirnode . _pack_contents ( dict ( children [ : N ] ) )
def unpack ( N ) :
return testdirnode . _unpack_contents ( packstr )
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def unpack_and_repack ( N ) :
return testdirnode . _pack_contents ( testdirnode . _unpack_contents ( packstr ) )
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PROF_FILE_NAME = " bench_dirnode.prof "
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def run_benchmarks ( profile = False ) :
for ( func , initfunc ) in [ ( unpack , init_for_unpack ) , ( pack , init_for_pack ) , ( unpack_and_repack , init_for_unpack ) ] :
print " benchmarking %s " % ( func , )
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benchutil . bench ( unpack_and_repack , initfunc = init_for_unpack , TOPXP = 12 , profile = profile , profresults = PROF_FILE_NAME )
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def print_stats ( ) :
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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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def prof_benchmarks ( ) :
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# This requires pyutil >= v1.3.34.
run_benchmarks ( profile = True )
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if __name__ == " __main__ " :
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if ' --profile ' in sys . argv :
if os . path . exists ( PROF_FILE_NAME ) :
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_benchmarks ( )
print_stats ( )
else :
run_benchmarks ( )